A Local Control Strategy for Distributed Energy Fluctuation Suppression Based on Soft Open Point

Guo Xinming, Huo Qunhai, Wei Tongzhen and Yin Jingyuan
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Guo Xinming: Institute of Electrical Engineering of the Chinese Academy of Sciences, Beijing 100190, China
Huo Qunhai: Institute of Electrical Engineering of the Chinese Academy of Sciences, Beijing 100190, China
Wei Tongzhen: Institute of Electrical Engineering of the Chinese Academy of Sciences, Beijing 100190, China
Yin Jingyuan: Institute of Electrical Engineering of the Chinese Academy of Sciences, Beijing 100190, China

Energies, 2020, vol. 13, issue 6, 1-15

Abstract: This paper proposes a local control strategy applied in the soft open point (SOP) to suppress voltage fluctuation when adding a renewable energy source into the system. The mathematic model of the grid connected to SOP is established based on the characteristics of a low-voltage distribution network. Combined with the mathematic model and local voltage information, the local control strategy is proposed to optimize the active and reactive power distribution and consume the minimum apparent power of the converter. The local control strategy can effectively suppress the voltage fluctuation caused by renewable energy access, which was testified by MATLAB/Simulink simulation. In addition, the local control strategy can deduce the communication resource and increase the response speed compared to global optimization. This paper is meaningful for renewable energy source distribution and voltage balance in low-voltage distribution systems.

Keywords: low voltage distribution network; soft open point; minimum apparent power compensation; distributed renewable energy; voltage fluctuation suppression (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: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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