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Energy Management for Joint Operation of CHP and PV Prosumers Inside a Grid-Connected Microgrid: A Game Theoretic Approach

descriptionPublicationkeyboard_double_arrow_right Article , Journal 01 Oct 2016 Australia Publisher:Institute of Electrical and Electronics Engineers (IEEE)Journal:IEEE Transactions on Industrial Informatics, volume 12, pages 1,930-1,942 (issn: 1551-3203, eissn: 1941-0050,

Authors: Li Ma; Nian Liu; Jianhua Zhang; Wayes Tushar; Chau Yuen;

doi: 10.1109/tii.2016.2578184

Energy Management for Joint Operation of CHP and PV Prosumers Inside a Grid-Connected Microgrid: A Game Theoretic Approach

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Abstract

This paper mainly focuses on the energy management of microgrids (MGs) consisting of combined heat and power (CHP) and photovoltaic (PV) prosumers. A multiparty energy management framework is proposed for joint operation of CHP and PV prosumers with the internal price-based demand response. In particular, an optimization model based on Stackelberg game is designed, where the microgrid operator (MGO) acts as the leader and PV prosumers are the followers. The properties of the game are studied and it is proved that the game possesses a unique Stackelberg equilibrium. The heuristic algorithm based on differential evolution is proposed that can be adopted by the MGO, and nonlinear constrained programing can be adopted by each prosumer to reach the Stackelberg equilibrium. Finally, via a practical example, the effectiveness of the model is verified in terms of determining MGO's prices and optimizing net load characteristic, etc.

Country

Australia

Related Organizations

North China Electric Power University
China (People's Republic of)
Singapore University of Technology and Design
Singapore
CHINA ELECTRIC POWER RESEARCH INSTITUTE (SEAL) SOE
China (People's Republic of)
University of Queensland
Australia
North China Electric Power University
China (People's Republic of)

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Keywords

energy management, 2208 Electrical and Electronic Engineering, 2207 Control and Systems Engineering, Stackelberg game, 1710 Information Systems, Combined heat and power (CHP), 629, 1706 Computer Science Applications, demand response (DR), microgrid (MG)

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	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 1%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 1%