Coordinated Control of Distributed Energy Storage Systems for DC Microgrids Coupling Photovoltaics and Batteries

Quan’e Zhang, Zhigang Song, Qiushi Ru, Jiangwei Fan, Lihui Qiao, Mingche Li, Licheng Wang () and Shuaibing Li ()
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Quan’e Zhang: Longnan Power Supply Company of State Grid Gansu Electric Power Company, Longnan 746000, China
Zhigang Song: Longnan Power Supply Company of State Grid Gansu Electric Power Company, Longnan 746000, China
Qiushi Ru: Longnan Power Supply Company of State Grid Gansu Electric Power Company, Longnan 746000, China
Jiangwei Fan: School of New Energy and Power Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China
Lihui Qiao: School of New Energy and Power Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China
Mingche Li: School of New Energy and Power Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China
Licheng Wang: School of Information Engineering, Zhejiang University of Technology, Hangzhou 310014, China
Shuaibing Li: School of New Energy and Power Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China

Energies, 2023, vol. 16, issue 2, 1-14

Abstract: To adapt to frequent charge and discharge and improve the accuracy in the DC microgrid with independent photovoltaics and distributed energy storage systems, an energy-coordinated control strategy based on increased droop control is proposed in this paper. The overall power supply quality of the DC microgrid is improved by optimizing the output priority of the multi-energy storage system. When photovoltaic and energy storage work simultaneously, the proposed method can dynamically adjust their working state and the energy storage unit’s droop coefficient to meet the system’s requirements. In DC microgrids with energy storage units of different capacities, the proposed strategy can be used to maintain the stability of bus voltage, improve the equalization speed and accuracy of the energy storage state of charge, and avoid the shutdown of energy storage units due to overcharge or discharge. Verification of the proposed strategy is implemented with MATLAB/Simulink. The simulation results show the proposed control strategy’s effectiveness in balancing energy supply and demand and reducing the time of charging and discharging energy storage units.

Keywords: DC microgrid; multi-energy storage coordinated control; droop control; photovoltaic power generation (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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