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Energy Research

Adaptive step size quantized simulation method for gas–electricity integrated energy systems
descriptionPublicationkeyboard_double_arrow_right Article 2024Publisher:Elsevier BV
Authors: Peng Li; Yunpeng Fei; Hao Yu; Haoran Ji; +4 Authors
Peng Li; Yunpeng Fei; Hao Yu; Haoran Ji; Juan Li; Jing Xu; Guanyu Song; Jinli Zhao;
doi: 10.1016/j.apenergy.2024.123785
doi: 10.1016/j.apenergy.2024.123785
Applied Energyarrow_drop_down
Applied Energy
Article . 2024 . Peer-reviewed
License: Elsevier TDM
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Applied Energy
Article . 2024 . Peer-reviewed
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Adaptive step size quantized simulation method for gas–electricity integrated energy systems
descriptionPublicationkeyboard_double_arrow_right Article 2024Publisher:Elsevier BV
Authors: Peng Li; Yunpeng Fei; Hao Yu; Haoran Ji; +4 Authors
Peng Li; Yunpeng Fei; Hao Yu; Haoran Ji; Juan Li; Jing Xu; Guanyu Song; Jinli Zhao;
doi: 10.1016/j.apenergy.2024.123785
doi: 10.1016/j.apenergy.2024.123785
Applied Energyarrow_drop_down
Applied Energy
Article . 2024 . Peer-reviewed
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Applied Energyarrow_drop_down
Applied Energy
Article . 2024 . Peer-reviewed
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Asymmetric Bargaining-Based SOP Planning Considering Peer-to-Peer Electricity Trading
descriptionPublicationkeyboard_double_arrow_right Article 2025Publisher:Institute of Electrical and Electronics Engineers (IEEE)
Authors: Haoran Ji; Yuxin Zheng; Hao Yu; Jinli Zhao; +3 Authors
Haoran Ji; Yuxin Zheng; Hao Yu; Jinli Zhao; Guanyu Song; Jianzhong Wu; Peng Li;
doi: 10.1109/tsg.2024.3471611
doi: 10.1109/tsg.2024.3471611
IEEE Transactions on...arrow_drop_down
IEEE Transactions on Smart Grid
Article . 2025 . Peer-reviewed
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Article . 2025 . Peer-reviewed
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Asymmetric Bargaining-Based SOP Planning Considering Peer-to-Peer Electricity Trading
descriptionPublicationkeyboard_double_arrow_right Article 2025Publisher:Institute of Electrical and Electronics Engineers (IEEE)
Authors: Haoran Ji; Yuxin Zheng; Hao Yu; Jinli Zhao; +3 Authors
Haoran Ji; Yuxin Zheng; Hao Yu; Jinli Zhao; Guanyu Song; Jianzhong Wu; Peng Li;
doi: 10.1109/tsg.2024.3471611
doi: 10.1109/tsg.2024.3471611
IEEE Transactions on...arrow_drop_down
IEEE Transactions on Smart Grid
Article . 2025 . Peer-reviewed
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Data-Driven Multi-Mode Adaptive Operation of Soft Open Point With Measuring Bad Data
descriptionPublicationkeyboard_double_arrow_right Article 2024Publisher:Institute of Electrical and Electronics Engineers (IEEE)
Authors: Shiyuan Gao; Peng Li; Haoran Ji; Jinli Zhao; +3 Authors
Shiyuan Gao; Peng Li; Haoran Ji; Jinli Zhao; Hao Yu; Jianzhong Wu; Chengshan Wang;
doi: 10.1109/tpwrs.2024.3351135
doi: 10.1109/tpwrs.2024.3351135
IEEE Transactions on...arrow_drop_down
IEEE Transactions on Power Systems
Article . 2024 . Peer-reviewed
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Article . 2024 . Peer-reviewed
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Data-Driven Multi-Mode Adaptive Operation of Soft Open Point With Measuring Bad Data
descriptionPublicationkeyboard_double_arrow_right Article 2024Publisher:Institute of Electrical and Electronics Engineers (IEEE)
Authors: Shiyuan Gao; Peng Li; Haoran Ji; Jinli Zhao; +3 Authors
Shiyuan Gao; Peng Li; Haoran Ji; Jinli Zhao; Hao Yu; Jianzhong Wu; Chengshan Wang;
doi: 10.1109/tpwrs.2024.3351135
doi: 10.1109/tpwrs.2024.3351135
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IEEE Transactions on Power Systems
Article . 2024 . Peer-reviewed
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DLMP-Based Quantification and Analysis Method of Operational Flexibility in Flexible Distribution Networks
descriptionPublicationkeyboard_double_arrow_right Article 2022Publisher:Institute of Electrical and Electronics Engineers (IEEE)
Authors: Jie Jian; Peng Li; Haoran Ji; Linquan Bai; +4 Authors
Jie Jian; Peng Li; Haoran Ji; Linquan Bai; Hao Yu; Wei Xi; Jianzhong Wu; Chengshan Wang;
doi: 10.1109/tste.2022.3197175
doi: 10.1109/tste.2022.3197175
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IEEE Transactions on Sustainable Energy
Article . 2022 . Peer-reviewed
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DLMP-Based Quantification and Analysis Method of Operational Flexibility in Flexible Distribution Networks
descriptionPublicationkeyboard_double_arrow_right Article 2022Publisher:Institute of Electrical and Electronics Engineers (IEEE)
Authors: Jie Jian; Peng Li; Haoran Ji; Linquan Bai; +4 Authors
Jie Jian; Peng Li; Haoran Ji; Linquan Bai; Hao Yu; Wei Xi; Jianzhong Wu; Chengshan Wang;
doi: 10.1109/tste.2022.3197175
doi: 10.1109/tste.2022.3197175
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IEEE Transactions on Sustainable Energy
Article . 2022 . Peer-reviewed
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Optimal Planning of Community Integrated Energy Station Considering Frequency Regulation Service
descriptionPublicationkeyboard_double_arrow_right Article , Journal 2020Publisher:Journal of Modern Power Systems and Clean Energy
Authors: Hao Yu; Cheng Li; Peng Li; Hailong Li; +3 Authors
Hao Yu; Cheng Li; Peng Li; Hailong Li; Jinli Zhao; Shuquan Li; Chengshan Wang;
doi: 10.35833/mpce.2019.000056 , 10.46855/2020.05.02.09.35.051748
doi: 10.35833/mpce.2019.000056 , 10.46855/2020.05.02.09.35.051748
With the extensive integration of high-penetration renewable energy resources, more fast-response frequency regulation (FR) providers are required to eliminate the impact of uncertainties from loads and distributed generators (DGs) on system security and stability. As a high-quality FR resource, community integrated energy station (CIES) can effectively respond to frequency deviation caused by renewable energy generation, helping to solve the frequency problem of power system. This paper proposes an optimal planning model of CIES considering FR service. First, the model of FR service is established to unify the time scale of FR service and economic operation. Then, an optimal planning model of CIES considering FR service is proposed, with which the revenue of participating in the FR service is obtained under market mechanism. The flexible electricity pricing model is introduced to flatten the peak tie-line power of CIES. Case studies are conducted to analyze the annual cost and the revenue of CIES participating in FR service, which suggest that providing ancillary services can bring potential revenue.
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Article . 2021
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Article . 2021 . Peer-reviewed
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Journal of Modern Power Systems and Clean Energy
Article . 2021
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https://doi.org/10.35833/mpce....
Article . 2021 . Peer-reviewed
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https://doi.org/10.46855/2020....
Article . 2020 . Peer-reviewed
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Optimal Planning of Community Integrated Energy Station Considering Frequency Regulation Service
descriptionPublicationkeyboard_double_arrow_right Article , Journal 2020Publisher:Journal of Modern Power Systems and Clean Energy
Authors: Hao Yu; Cheng Li; Peng Li; Hailong Li; +3 Authors
Hao Yu; Cheng Li; Peng Li; Hailong Li; Jinli Zhao; Shuquan Li; Chengshan Wang;
doi: 10.35833/mpce.2019.000056 , 10.46855/2020.05.02.09.35.051748
doi: 10.35833/mpce.2019.000056 , 10.46855/2020.05.02.09.35.051748
With the extensive integration of high-penetration renewable energy resources, more fast-response frequency regulation (FR) providers are required to eliminate the impact of uncertainties from loads and distributed generators (DGs) on system security and stability. As a high-quality FR resource, community integrated energy station (CIES) can effectively respond to frequency deviation caused by renewable energy generation, helping to solve the frequency problem of power system. This paper proposes an optimal planning model of CIES considering FR service. First, the model of FR service is established to unify the time scale of FR service and economic operation. Then, an optimal planning model of CIES considering FR service is proposed, with which the revenue of participating in the FR service is obtained under market mechanism. The flexible electricity pricing model is introduced to flatten the peak tie-line power of CIES. Case studies are conducted to analyze the annual cost and the revenue of CIES participating in FR service, which suggest that providing ancillary services can bring potential revenue.
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Journal of Modern Power Systems and Clean Energy
Article . 2021
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Article . 2021 . Peer-reviewed
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https://doi.org/10.46855/2020....
Article . 2020 . Peer-reviewed
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Article
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Journal of Modern Power Systems and Clean Energy
Article . 2021
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https://doi.org/10.35833/mpce....
Article . 2021 . Peer-reviewed
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https://doi.org/10.46855/2020....
Article . 2020 . Peer-reviewed
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Identification of critical uncertain factors of distribution networks with high penetration of photovoltaics and electric vehicles
descriptionPublicationkeyboard_double_arrow_right Article 2023Publisher:Elsevier BV
Authors: Rui Wang; Peng Li; Hao Yu; Haoran Ji; +2 Authors
Rui Wang; Peng Li; Hao Yu; Haoran Ji; Wei Xi; Chengshan Wang;
doi: 10.1016/j.apenergy.2022.120260
doi: 10.1016/j.apenergy.2022.120260
Applied Energyarrow_drop_down
Applied Energy
Article . 2023 . Peer-reviewed
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Applied Energyarrow_drop_down
Applied Energy
Article . 2023 . Peer-reviewed
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Identification of critical uncertain factors of distribution networks with high penetration of photovoltaics and electric vehicles
descriptionPublicationkeyboard_double_arrow_right Article 2023Publisher:Elsevier BV
Authors: Rui Wang; Peng Li; Hao Yu; Haoran Ji; +2 Authors
Rui Wang; Peng Li; Hao Yu; Haoran Ji; Wei Xi; Chengshan Wang;
doi: 10.1016/j.apenergy.2022.120260
doi: 10.1016/j.apenergy.2022.120260
Applied Energyarrow_drop_down
Applied Energy
Article . 2023 . Peer-reviewed
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Applied Energyarrow_drop_down
Applied Energy
Article . 2023 . Peer-reviewed
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Optimal Operation Strategy of a Community Integrated Energy System Constrained by the Seasonal Balance of Ground Source Heat Pumps
descriptionPublicationkeyboard_double_arrow_right Article , Journal , Other literature type 2020Publisher:MDPI AG
Authors: Jianan Liu; Hao Yu; Haoran Ji; Kunpeng Zhao; +2 Authors
Jianan Liu; Hao Yu; Haoran Ji; Kunpeng Zhao; Chaoxian Lv; Peng Li;
doi: 10.3390/su12114627
doi: 10.3390/su12114627
Ground source heat pumps (GSHPs) are now widely used in community integrated energy systems (CIES) because of their high efficiency in energy conversion. However, the coefficient of performance (COP) of GSHPs is unstable if the soil temperature changes with seasonal imbalanced cooling and heating loads, thus downgrading the overall performance of CIES. In this paper, an annual optimization model for CIES that considers the seasonal balance of GSHPs is established. Then, a day-ahead operation strategy based on the pre-allocated load of the GSHP in the yearly balance is proposed while considering the uncertainties in daily conditions. The proposed strategy is validated on a practical CIES in China and assessed on a year-round time scale. The results show that the operation of CIES can be stable, economical and sustainable while ensuring the seasonal balance of the GSHP.
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Optimal Operation Strategy of a Community Integrated Energy System Constrained by the Seasonal Balance of Ground Source Heat Pumps
descriptionPublicationkeyboard_double_arrow_right Article , Journal , Other literature type 2020Publisher:MDPI AG
Authors: Jianan Liu; Hao Yu; Haoran Ji; Kunpeng Zhao; +2 Authors
Jianan Liu; Hao Yu; Haoran Ji; Kunpeng Zhao; Chaoxian Lv; Peng Li;
doi: 10.3390/su12114627
doi: 10.3390/su12114627
Ground source heat pumps (GSHPs) are now widely used in community integrated energy systems (CIES) because of their high efficiency in energy conversion. However, the coefficient of performance (COP) of GSHPs is unstable if the soil temperature changes with seasonal imbalanced cooling and heating loads, thus downgrading the overall performance of CIES. In this paper, an annual optimization model for CIES that considers the seasonal balance of GSHPs is established. Then, a day-ahead operation strategy based on the pre-allocated load of the GSHP in the yearly balance is proposed while considering the uncertainties in daily conditions. The proposed strategy is validated on a practical CIES in China and assessed on a year-round time scale. The results show that the operation of CIES can be stable, economical and sustainable while ensuring the seasonal balance of the GSHP.
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Sustainability
Other literature type . 2020
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Multi-resource dynamic coordinated planning of flexible distribution network
descriptionPublicationkeyboard_double_arrow_right Article , Other literature type 2024Publisher:Springer Science and Business Media LLC
Authors: Rui Wang; Haoran Ji; Peng Li; Hao Yu; +7 Authors
Rui Wang; Haoran Ji; Peng Li; Hao Yu; Jinli Zhao; Liang Zhao; Yue Zhou; Jianzhong Wu; Linquan Bai; Jinyue Yan; Chengshan Wang;
doi: 10.1038/s41467-024-48862-5
pmid: 38811553
pmc: PMC11530552
doi: 10.1038/s41467-024-48862-5
pmid: 38811553
pmc: PMC11530552
AbstractThe flexible distribution network presents a promising architecture to accommodate highly integrated distributed generators and increasing loads in an efficient and cost-effective way. The distribution network is characterised by flexible interconnections and expansions based on soft open points, which enables it to dispatch power flow over the entire system with enhanced controllability and compatibility. Herein, we propose a multi-resource dynamic coordinated planning method of flexible distribution network that allows allocation strategies to be determined over a long-term planning period. Additionally, we establish a probabilistic framework to address source-load uncertainties, which mitigates the security risks of voltage violations and line overloads. A practical distribution network is adopted for flexible upgrading based on soft open points, and its cost benefits are evaluated and compared with that of traditional planning approaches. By adjusting the acceptable violation probability in chance constraints, a trade-off between investment efficiency and operational security can be realised.
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Multi-resource dynamic coordinated planning of flexible distribution network
descriptionPublicationkeyboard_double_arrow_right Article , Other literature type 2024Publisher:Springer Science and Business Media LLC
Authors: Rui Wang; Haoran Ji; Peng Li; Hao Yu; +7 Authors
Rui Wang; Haoran Ji; Peng Li; Hao Yu; Jinli Zhao; Liang Zhao; Yue Zhou; Jianzhong Wu; Linquan Bai; Jinyue Yan; Chengshan Wang;
doi: 10.1038/s41467-024-48862-5
pmid: 38811553
pmc: PMC11530552
doi: 10.1038/s41467-024-48862-5
pmid: 38811553
pmc: PMC11530552
AbstractThe flexible distribution network presents a promising architecture to accommodate highly integrated distributed generators and increasing loads in an efficient and cost-effective way. The distribution network is characterised by flexible interconnections and expansions based on soft open points, which enables it to dispatch power flow over the entire system with enhanced controllability and compatibility. Herein, we propose a multi-resource dynamic coordinated planning method of flexible distribution network that allows allocation strategies to be determined over a long-term planning period. Additionally, we establish a probabilistic framework to address source-load uncertainties, which mitigates the security risks of voltage violations and line overloads. A practical distribution network is adopted for flexible upgrading based on soft open points, and its cost benefits are evaluated and compared with that of traditional planning approaches. By adjusting the acceptable violation probability in chance constraints, a trade-off between investment efficiency and operational security can be realised.
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A Real-Time Resource Dispatch Approach for Edge Computing Devices in Digital Distribution Networks Considering Burst Tasks
descriptionPublicationkeyboard_double_arrow_right Article 2024Publisher:MDPI AG
Authors: Jing Xu; Juan Li; Liang Zhang; Chaoming Huang; +2 Authors
Jing Xu; Juan Li; Liang Zhang; Chaoming Huang; Hao Yu; Haoran Ji;
doi: 10.3390/pr12071328
doi: 10.3390/pr12071328
Edge computing technology can effectively solve huge challenges posed by the large number of terminal devices accessing and massive data processing in digital distribution networks. Burst tasks, such as faults and data requests from the cloud, can occur at any time for edge computing devices in distribution networks. These tasks are unpredictable and usually hold the highest priority and must be completed as soon as possible. Although resources can be reserved partially at each period in the pre-scheduled operation plan, they may still be insufficient to handle burst tasks adequately. A real-time resource dispatch approach for burst tasks is developed in this study to address the above problems. The concept of flexibility for edge computing devices is presented, determining the real-time dispatch duration. Real-time resource dispatch and task handling processing are analyzed in detail, considered as task real-time dispatch models, computation process real-time dispatch constraints, and resource limitation constraints. The proposed real-time resource dispatch approach takes full advantage of the transferable characteristics for partial original plan tasks to adjust the pre-scheduled operation plan and release flexible resources for immediate processing of the burst task, completing burst tasks quickly and minimizing the impact for previous planned tasks on the edge computing device. The capability of the proposed method to efficiently deal with the burst tasks is also verified by the case study.
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A Real-Time Resource Dispatch Approach for Edge Computing Devices in Digital Distribution Networks Considering Burst Tasks
descriptionPublicationkeyboard_double_arrow_right Article 2024Publisher:MDPI AG
Authors: Jing Xu; Juan Li; Liang Zhang; Chaoming Huang; +2 Authors
Jing Xu; Juan Li; Liang Zhang; Chaoming Huang; Hao Yu; Haoran Ji;
doi: 10.3390/pr12071328
doi: 10.3390/pr12071328
Edge computing technology can effectively solve huge challenges posed by the large number of terminal devices accessing and massive data processing in digital distribution networks. Burst tasks, such as faults and data requests from the cloud, can occur at any time for edge computing devices in distribution networks. These tasks are unpredictable and usually hold the highest priority and must be completed as soon as possible. Although resources can be reserved partially at each period in the pre-scheduled operation plan, they may still be insufficient to handle burst tasks adequately. A real-time resource dispatch approach for burst tasks is developed in this study to address the above problems. The concept of flexibility for edge computing devices is presented, determining the real-time dispatch duration. Real-time resource dispatch and task handling processing are analyzed in detail, considered as task real-time dispatch models, computation process real-time dispatch constraints, and resource limitation constraints. The proposed real-time resource dispatch approach takes full advantage of the transferable characteristics for partial original plan tasks to adjust the pre-scheduled operation plan and release flexible resources for immediate processing of the burst task, completing burst tasks quickly and minimizing the impact for previous planned tasks on the edge computing device. The capability of the proposed method to efficiently deal with the burst tasks is also verified by the case study.
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Adaptive Voltage Control of Inverter-Based DG in Active Distribution Networks With Measurement-Strategy Mapping Matrix
descriptionPublicationkeyboard_double_arrow_right Article 2025Publisher:Institute of Electrical and Electronics Engineers (IEEE)
Authors: Ziqi Zhang; Peng Li; Haoran Ji; Hao Yu; +3 Authors
Ziqi Zhang; Peng Li; Haoran Ji; Hao Yu; Jinli Zhao; Wei Xi; Jianzhong Wu;
doi: 10.1109/tste.2024.3516792
doi: 10.1109/tste.2024.3516792
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Adaptive Voltage Control of Inverter-Based DG in Active Distribution Networks With Measurement-Strategy Mapping Matrix
descriptionPublicationkeyboard_double_arrow_right Article 2025Publisher:Institute of Electrical and Electronics Engineers (IEEE)
Authors: Ziqi Zhang; Peng Li; Haoran Ji; Hao Yu; +3 Authors
Ziqi Zhang; Peng Li; Haoran Ji; Hao Yu; Jinli Zhao; Wei Xi; Jianzhong Wu;
doi: 10.1109/tste.2024.3516792
doi: 10.1109/tste.2024.3516792
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Adaptive step size quantized simulation method for gas–electricity integrated energy systems
descriptionPublicationkeyboard_double_arrow_right Article 2024Publisher:Elsevier BV
Authors: Peng Li; Yunpeng Fei; Hao Yu; Haoran Ji; +4 Authors
Peng Li; Yunpeng Fei; Hao Yu; Haoran Ji; Juan Li; Jing Xu; Guanyu Song; Jinli Zhao;
doi: 10.1016/j.apenergy.2024.123785
doi: 10.1016/j.apenergy.2024.123785
Applied Energyarrow_drop_down
Applied Energy
Article . 2024 . Peer-reviewed
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Applied Energy
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Adaptive step size quantized simulation method for gas–electricity integrated energy systems
descriptionPublicationkeyboard_double_arrow_right Article 2024Publisher:Elsevier BV
Authors: Peng Li; Yunpeng Fei; Hao Yu; Haoran Ji; +4 Authors
Peng Li; Yunpeng Fei; Hao Yu; Haoran Ji; Juan Li; Jing Xu; Guanyu Song; Jinli Zhao;
doi: 10.1016/j.apenergy.2024.123785
doi: 10.1016/j.apenergy.2024.123785
Applied Energyarrow_drop_down
Applied Energy
Article . 2024 . Peer-reviewed
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Asymmetric Bargaining-Based SOP Planning Considering Peer-to-Peer Electricity Trading
descriptionPublicationkeyboard_double_arrow_right Article 2025Publisher:Institute of Electrical and Electronics Engineers (IEEE)
Authors: Haoran Ji; Yuxin Zheng; Hao Yu; Jinli Zhao; +3 Authors
Haoran Ji; Yuxin Zheng; Hao Yu; Jinli Zhao; Guanyu Song; Jianzhong Wu; Peng Li;
doi: 10.1109/tsg.2024.3471611
doi: 10.1109/tsg.2024.3471611
IEEE Transactions on...arrow_drop_down
IEEE Transactions on Smart Grid
Article . 2025 . Peer-reviewed
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Asymmetric Bargaining-Based SOP Planning Considering Peer-to-Peer Electricity Trading
descriptionPublicationkeyboard_double_arrow_right Article 2025Publisher:Institute of Electrical and Electronics Engineers (IEEE)
Authors: Haoran Ji; Yuxin Zheng; Hao Yu; Jinli Zhao; +3 Authors
Haoran Ji; Yuxin Zheng; Hao Yu; Jinli Zhao; Guanyu Song; Jianzhong Wu; Peng Li;
doi: 10.1109/tsg.2024.3471611
doi: 10.1109/tsg.2024.3471611
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Data-Driven Multi-Mode Adaptive Operation of Soft Open Point With Measuring Bad Data
descriptionPublicationkeyboard_double_arrow_right Article 2024Publisher:Institute of Electrical and Electronics Engineers (IEEE)
Authors: Shiyuan Gao; Peng Li; Haoran Ji; Jinli Zhao; +3 Authors
Shiyuan Gao; Peng Li; Haoran Ji; Jinli Zhao; Hao Yu; Jianzhong Wu; Chengshan Wang;
doi: 10.1109/tpwrs.2024.3351135
doi: 10.1109/tpwrs.2024.3351135
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Data-Driven Multi-Mode Adaptive Operation of Soft Open Point With Measuring Bad Data
descriptionPublicationkeyboard_double_arrow_right Article 2024Publisher:Institute of Electrical and Electronics Engineers (IEEE)
Authors: Shiyuan Gao; Peng Li; Haoran Ji; Jinli Zhao; +3 Authors
Shiyuan Gao; Peng Li; Haoran Ji; Jinli Zhao; Hao Yu; Jianzhong Wu; Chengshan Wang;
doi: 10.1109/tpwrs.2024.3351135
doi: 10.1109/tpwrs.2024.3351135
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DLMP-Based Quantification and Analysis Method of Operational Flexibility in Flexible Distribution Networks
descriptionPublicationkeyboard_double_arrow_right Article 2022Publisher:Institute of Electrical and Electronics Engineers (IEEE)
Authors: Jie Jian; Peng Li; Haoran Ji; Linquan Bai; +4 Authors
Jie Jian; Peng Li; Haoran Ji; Linquan Bai; Hao Yu; Wei Xi; Jianzhong Wu; Chengshan Wang;
doi: 10.1109/tste.2022.3197175
doi: 10.1109/tste.2022.3197175
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DLMP-Based Quantification and Analysis Method of Operational Flexibility in Flexible Distribution Networks
descriptionPublicationkeyboard_double_arrow_right Article 2022Publisher:Institute of Electrical and Electronics Engineers (IEEE)
Authors: Jie Jian; Peng Li; Haoran Ji; Linquan Bai; +4 Authors
Jie Jian; Peng Li; Haoran Ji; Linquan Bai; Hao Yu; Wei Xi; Jianzhong Wu; Chengshan Wang;
doi: 10.1109/tste.2022.3197175
doi: 10.1109/tste.2022.3197175
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Optimal Planning of Community Integrated Energy Station Considering Frequency Regulation Service
descriptionPublicationkeyboard_double_arrow_right Article , Journal 2020Publisher:Journal of Modern Power Systems and Clean Energy
Authors: Hao Yu; Cheng Li; Peng Li; Hailong Li; +3 Authors
Hao Yu; Cheng Li; Peng Li; Hailong Li; Jinli Zhao; Shuquan Li; Chengshan Wang;
doi: 10.35833/mpce.2019.000056 , 10.46855/2020.05.02.09.35.051748
doi: 10.35833/mpce.2019.000056 , 10.46855/2020.05.02.09.35.051748
With the extensive integration of high-penetration renewable energy resources, more fast-response frequency regulation (FR) providers are required to eliminate the impact of uncertainties from loads and distributed generators (DGs) on system security and stability. As a high-quality FR resource, community integrated energy station (CIES) can effectively respond to frequency deviation caused by renewable energy generation, helping to solve the frequency problem of power system. This paper proposes an optimal planning model of CIES considering FR service. First, the model of FR service is established to unify the time scale of FR service and economic operation. Then, an optimal planning model of CIES considering FR service is proposed, with which the revenue of participating in the FR service is obtained under market mechanism. The flexible electricity pricing model is introduced to flatten the peak tie-line power of CIES. Case studies are conducted to analyze the annual cost and the revenue of CIES participating in FR service, which suggest that providing ancillary services can bring potential revenue.
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Optimal Planning of Community Integrated Energy Station Considering Frequency Regulation Service
descriptionPublicationkeyboard_double_arrow_right Article , Journal 2020Publisher:Journal of Modern Power Systems and Clean Energy
Authors: Hao Yu; Cheng Li; Peng Li; Hailong Li; +3 Authors
Hao Yu; Cheng Li; Peng Li; Hailong Li; Jinli Zhao; Shuquan Li; Chengshan Wang;
doi: 10.35833/mpce.2019.000056 , 10.46855/2020.05.02.09.35.051748
doi: 10.35833/mpce.2019.000056 , 10.46855/2020.05.02.09.35.051748
With the extensive integration of high-penetration renewable energy resources, more fast-response frequency regulation (FR) providers are required to eliminate the impact of uncertainties from loads and distributed generators (DGs) on system security and stability. As a high-quality FR resource, community integrated energy station (CIES) can effectively respond to frequency deviation caused by renewable energy generation, helping to solve the frequency problem of power system. This paper proposes an optimal planning model of CIES considering FR service. First, the model of FR service is established to unify the time scale of FR service and economic operation. Then, an optimal planning model of CIES considering FR service is proposed, with which the revenue of participating in the FR service is obtained under market mechanism. The flexible electricity pricing model is introduced to flatten the peak tie-line power of CIES. Case studies are conducted to analyze the annual cost and the revenue of CIES participating in FR service, which suggest that providing ancillary services can bring potential revenue.
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Identification of critical uncertain factors of distribution networks with high penetration of photovoltaics and electric vehicles
descriptionPublicationkeyboard_double_arrow_right Article 2023Publisher:Elsevier BV
Authors: Rui Wang; Peng Li; Hao Yu; Haoran Ji; +2 Authors
Rui Wang; Peng Li; Hao Yu; Haoran Ji; Wei Xi; Chengshan Wang;
doi: 10.1016/j.apenergy.2022.120260
doi: 10.1016/j.apenergy.2022.120260
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Identification of critical uncertain factors of distribution networks with high penetration of photovoltaics and electric vehicles
descriptionPublicationkeyboard_double_arrow_right Article 2023Publisher:Elsevier BV
Authors: Rui Wang; Peng Li; Hao Yu; Haoran Ji; +2 Authors
Rui Wang; Peng Li; Hao Yu; Haoran Ji; Wei Xi; Chengshan Wang;
doi: 10.1016/j.apenergy.2022.120260
doi: 10.1016/j.apenergy.2022.120260
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Optimal Operation Strategy of a Community Integrated Energy System Constrained by the Seasonal Balance of Ground Source Heat Pumps
descriptionPublicationkeyboard_double_arrow_right Article , Journal , Other literature type 2020Publisher:MDPI AG
Authors: Jianan Liu; Hao Yu; Haoran Ji; Kunpeng Zhao; +2 Authors
Jianan Liu; Hao Yu; Haoran Ji; Kunpeng Zhao; Chaoxian Lv; Peng Li;
doi: 10.3390/su12114627
doi: 10.3390/su12114627
Ground source heat pumps (GSHPs) are now widely used in community integrated energy systems (CIES) because of their high efficiency in energy conversion. However, the coefficient of performance (COP) of GSHPs is unstable if the soil temperature changes with seasonal imbalanced cooling and heating loads, thus downgrading the overall performance of CIES. In this paper, an annual optimization model for CIES that considers the seasonal balance of GSHPs is established. Then, a day-ahead operation strategy based on the pre-allocated load of the GSHP in the yearly balance is proposed while considering the uncertainties in daily conditions. The proposed strategy is validated on a practical CIES in China and assessed on a year-round time scale. The results show that the operation of CIES can be stable, economical and sustainable while ensuring the seasonal balance of the GSHP.
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Optimal Operation Strategy of a Community Integrated Energy System Constrained by the Seasonal Balance of Ground Source Heat Pumps
descriptionPublicationkeyboard_double_arrow_right Article , Journal , Other literature type 2020Publisher:MDPI AG
Authors: Jianan Liu; Hao Yu; Haoran Ji; Kunpeng Zhao; +2 Authors
Jianan Liu; Hao Yu; Haoran Ji; Kunpeng Zhao; Chaoxian Lv; Peng Li;
doi: 10.3390/su12114627
doi: 10.3390/su12114627
Ground source heat pumps (GSHPs) are now widely used in community integrated energy systems (CIES) because of their high efficiency in energy conversion. However, the coefficient of performance (COP) of GSHPs is unstable if the soil temperature changes with seasonal imbalanced cooling and heating loads, thus downgrading the overall performance of CIES. In this paper, an annual optimization model for CIES that considers the seasonal balance of GSHPs is established. Then, a day-ahead operation strategy based on the pre-allocated load of the GSHP in the yearly balance is proposed while considering the uncertainties in daily conditions. The proposed strategy is validated on a practical CIES in China and assessed on a year-round time scale. The results show that the operation of CIES can be stable, economical and sustainable while ensuring the seasonal balance of the GSHP.
downloaddonwloadFull-Text
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Sustainability
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Other literature type . 2020
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Full-Text: http://www.mdpi.com/2071-1050/12/11/4627/pdf
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Multi-resource dynamic coordinated planning of flexible distribution network
descriptionPublicationkeyboard_double_arrow_right Article , Other literature type 2024Publisher:Springer Science and Business Media LLC
Authors: Rui Wang; Haoran Ji; Peng Li; Hao Yu; +7 Authors
Rui Wang; Haoran Ji; Peng Li; Hao Yu; Jinli Zhao; Liang Zhao; Yue Zhou; Jianzhong Wu; Linquan Bai; Jinyue Yan; Chengshan Wang;
doi: 10.1038/s41467-024-48862-5
pmid: 38811553
pmc: PMC11530552
doi: 10.1038/s41467-024-48862-5
pmid: 38811553
pmc: PMC11530552
AbstractThe flexible distribution network presents a promising architecture to accommodate highly integrated distributed generators and increasing loads in an efficient and cost-effective way. The distribution network is characterised by flexible interconnections and expansions based on soft open points, which enables it to dispatch power flow over the entire system with enhanced controllability and compatibility. Herein, we propose a multi-resource dynamic coordinated planning method of flexible distribution network that allows allocation strategies to be determined over a long-term planning period. Additionally, we establish a probabilistic framework to address source-load uncertainties, which mitigates the security risks of voltage violations and line overloads. A practical distribution network is adopted for flexible upgrading based on soft open points, and its cost benefits are evaluated and compared with that of traditional planning approaches. By adjusting the acceptable violation probability in chance constraints, a trade-off between investment efficiency and operational security can be realised.
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Multi-resource dynamic coordinated planning of flexible distribution network
descriptionPublicationkeyboard_double_arrow_right Article , Other literature type 2024Publisher:Springer Science and Business Media LLC
Authors: Rui Wang; Haoran Ji; Peng Li; Hao Yu; +7 Authors
Rui Wang; Haoran Ji; Peng Li; Hao Yu; Jinli Zhao; Liang Zhao; Yue Zhou; Jianzhong Wu; Linquan Bai; Jinyue Yan; Chengshan Wang;
doi: 10.1038/s41467-024-48862-5
pmid: 38811553
pmc: PMC11530552
doi: 10.1038/s41467-024-48862-5
pmid: 38811553
pmc: PMC11530552
AbstractThe flexible distribution network presents a promising architecture to accommodate highly integrated distributed generators and increasing loads in an efficient and cost-effective way. The distribution network is characterised by flexible interconnections and expansions based on soft open points, which enables it to dispatch power flow over the entire system with enhanced controllability and compatibility. Herein, we propose a multi-resource dynamic coordinated planning method of flexible distribution network that allows allocation strategies to be determined over a long-term planning period. Additionally, we establish a probabilistic framework to address source-load uncertainties, which mitigates the security risks of voltage violations and line overloads. A practical distribution network is adopted for flexible upgrading based on soft open points, and its cost benefits are evaluated and compared with that of traditional planning approaches. By adjusting the acceptable violation probability in chance constraints, a trade-off between investment efficiency and operational security can be realised.
Nature Communication...arrow_drop_down
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A Real-Time Resource Dispatch Approach for Edge Computing Devices in Digital Distribution Networks Considering Burst Tasks
descriptionPublicationkeyboard_double_arrow_right Article 2024Publisher:MDPI AG
Authors: Jing Xu; Juan Li; Liang Zhang; Chaoming Huang; +2 Authors
Jing Xu; Juan Li; Liang Zhang; Chaoming Huang; Hao Yu; Haoran Ji;
doi: 10.3390/pr12071328
doi: 10.3390/pr12071328
Edge computing technology can effectively solve huge challenges posed by the large number of terminal devices accessing and massive data processing in digital distribution networks. Burst tasks, such as faults and data requests from the cloud, can occur at any time for edge computing devices in distribution networks. These tasks are unpredictable and usually hold the highest priority and must be completed as soon as possible. Although resources can be reserved partially at each period in the pre-scheduled operation plan, they may still be insufficient to handle burst tasks adequately. A real-time resource dispatch approach for burst tasks is developed in this study to address the above problems. The concept of flexibility for edge computing devices is presented, determining the real-time dispatch duration. Real-time resource dispatch and task handling processing are analyzed in detail, considered as task real-time dispatch models, computation process real-time dispatch constraints, and resource limitation constraints. The proposed real-time resource dispatch approach takes full advantage of the transferable characteristics for partial original plan tasks to adjust the pre-scheduled operation plan and release flexible resources for immediate processing of the burst task, completing burst tasks quickly and minimizing the impact for previous planned tasks on the edge computing device. The capability of the proposed method to efficiently deal with the burst tasks is also verified by the case study.
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A Real-Time Resource Dispatch Approach for Edge Computing Devices in Digital Distribution Networks Considering Burst Tasks
descriptionPublicationkeyboard_double_arrow_right Article 2024Publisher:MDPI AG
Authors: Jing Xu; Juan Li; Liang Zhang; Chaoming Huang; +2 Authors
Jing Xu; Juan Li; Liang Zhang; Chaoming Huang; Hao Yu; Haoran Ji;
doi: 10.3390/pr12071328
doi: 10.3390/pr12071328
Edge computing technology can effectively solve huge challenges posed by the large number of terminal devices accessing and massive data processing in digital distribution networks. Burst tasks, such as faults and data requests from the cloud, can occur at any time for edge computing devices in distribution networks. These tasks are unpredictable and usually hold the highest priority and must be completed as soon as possible. Although resources can be reserved partially at each period in the pre-scheduled operation plan, they may still be insufficient to handle burst tasks adequately. A real-time resource dispatch approach for burst tasks is developed in this study to address the above problems. The concept of flexibility for edge computing devices is presented, determining the real-time dispatch duration. Real-time resource dispatch and task handling processing are analyzed in detail, considered as task real-time dispatch models, computation process real-time dispatch constraints, and resource limitation constraints. The proposed real-time resource dispatch approach takes full advantage of the transferable characteristics for partial original plan tasks to adjust the pre-scheduled operation plan and release flexible resources for immediate processing of the burst task, completing burst tasks quickly and minimizing the impact for previous planned tasks on the edge computing device. The capability of the proposed method to efficiently deal with the burst tasks is also verified by the case study.
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Adaptive Voltage Control of Inverter-Based DG in Active Distribution Networks With Measurement-Strategy Mapping Matrix
descriptionPublicationkeyboard_double_arrow_right Article 2025Publisher:Institute of Electrical and Electronics Engineers (IEEE)
Authors: Ziqi Zhang; Peng Li; Haoran Ji; Hao Yu; +3 Authors
Ziqi Zhang; Peng Li; Haoran Ji; Hao Yu; Jinli Zhao; Wei Xi; Jianzhong Wu;
doi: 10.1109/tste.2024.3516792
doi: 10.1109/tste.2024.3516792
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Adaptive Voltage Control of Inverter-Based DG in Active Distribution Networks With Measurement-Strategy Mapping Matrix
descriptionPublicationkeyboard_double_arrow_right Article 2025Publisher:Institute of Electrical and Electronics Engineers (IEEE)
Authors: Ziqi Zhang; Peng Li; Haoran Ji; Hao Yu; +3 Authors
Ziqi Zhang; Peng Li; Haoran Ji; Hao Yu; Jinli Zhao; Wei Xi; Jianzhong Wu;
doi: 10.1109/tste.2024.3516792
doi: 10.1109/tste.2024.3516792
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