Research on Stability Coordination Strategy of Park Wind-Photovoltaic Storage System Considering Reactive Power Compensation

doi:10.3969/j.issn.1008-0198.2022.01.015

Abstract

Abstract: There are some problems such as power grid structure reconstruction and power flow distribution characteristics when the wind-photovoltaic power generation system is integrated into the park′s public power grid. Considering the energy storage system “peak load and frequency regulation” feature, from the perspective of energy coordinated control, the paper proposes an energy storage device to regulate the park scenery storage integration of core system reactive power optimization control strategy, and the neural network particle swarm optimization (PSO) algorithm is used to solve the energy storage capacity optimization of the output of different control objectives. Compared with the traditional coordinated control mode, the flexible interconnection between low-voltage power grid feeders in the park and the stability of power flow switching of distributed energy supply are greatly improved under the appropriate iterative optimization of energy storage capacity. The integrated model of landscape storage in MATLAB/Simulink verifies the effectiveness and correctness of the proposed control strategy.

Key words: reactive power compensation, park, wind-photovoltaic storage system, energy storage capacity, coordinated control

CLC Number:

TM712

PENG Zheng, LIN Jinjie. Research on Stability Coordination Strategy of Park Wind-Photovoltaic Storage System Considering Reactive Power Compensation[J]. Hunan Electric Power, 2022, 42(1): 76-83.

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