Suppression of low‐frequency oscillations in hybrid/multi microgrid systems with an improved model predictive controller
Copyright policy )Suppression of low‐frequency oscillations in hybrid/multi microgrid systems with an improved model predictive controller
AbstractGrid‐forming inverters are used for voltage regulation and frequency control in autonomous hybrid microgrids and multi‐microgrid systems by imitating synchronous generators. However, in microgrids with weak grids including low inertia levels and small X/R ratios, these inverters interact with each other, and as a result low‐frequency oscillations (LFO) arise. LFO impacts the frequency stability of multi‐microgrid systems. Nevertheless, LFO can be mitigated by the load‐frequency control system, which serves as a secondary control mechanism. However, the presence of wind turbines and photovoltaic systems in hybrid microgrids adds complexity to the operation of the load‐frequency control due to the uncertainty associated with these renewable energy resources, and various controllers have been employed. This paper proposes a novel approach to enhance the performance of the load‐frequency control system and suppress LFO. The presented technique reduces the complexity of the hybrid microgrid structure by reducing the number of controllers. The model predictive control (MPC) technique is utilized for load‐frequency control and the weight parameters of the MPC are determined using the rain optimization algorithm. The proposed method demonstrates improved dynamic response, reduced overshoot and undershoot responses, decreased controller complexity, and effective LFO suppression. The simulation results verify the effectiveness of the method.
- UNSW Sydney Australia
- Bu-Ali Sina University Iran (Islamic Republic of)
- Bu-Ali Sina University Iran (Islamic Republic of)
anzsrc-for: 4009 Electronics, 4007 Control Engineering, TJ807-830, Renewable energy sources, anzsrc-for: 40 Engineering, distributed control, distributed power generation, anzsrc-for: 4008 Electrical Engineering, anzsrc-for: 0906 Electrical and Electronic Engineering, 40 Engineering, dynamic response, anzsrc-for: 4007 Control Engineering, anzsrc-for: 4010 Engineering Practice and Education, 13 Climate Action, Mechatronics and Robotics, 621, 4010 Engineering Practice and Education, power control, 620, 4009 Electronics, hybrid power systems, 7 Affordable and Clean Energy, 4008 Electrical Engineering, Sensors and Digital Hardware, anzsrc-for: 4011 Environmental engineering
anzsrc-for: 4009 Electronics, 4007 Control Engineering, TJ807-830, Renewable energy sources, anzsrc-for: 40 Engineering, distributed control, distributed power generation, anzsrc-for: 4008 Electrical Engineering, anzsrc-for: 0906 Electrical and Electronic Engineering, 40 Engineering, dynamic response, anzsrc-for: 4007 Control Engineering, anzsrc-for: 4010 Engineering Practice and Education, 13 Climate Action, Mechatronics and Robotics, 621, 4010 Engineering Practice and Education, power control, 620, 4009 Electronics, hybrid power systems, 7 Affordable and Clean Energy, 4008 Electrical Engineering, Sensors and Digital Hardware, anzsrc-for: 4011 Environmental engineering
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