计及无功补偿的园区风光储系统稳定协调策略研究

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

在风光发电系统并入园区公共电网时,存在重构电网结构和潮流分布特性等问题。考虑到储能系统的“调峰调频”特性,从能量协调控制角度出发,提出一种以储能装置为调控核心的园区风光储一体化系统无功优化控制策略,并利用神经网络-粒子群结合算法迭代求解储能容量优化不同控制目标的出力效果。与传统协调控制方式相比,在合适的储能容量迭代优化下,该策略大幅提升了园区低压电网馈线间的柔性互联、分布式能源投切的潮流转供稳定性。在Matlab/Simulink中构建园区风光储一体化模型,验证了所提控制策略的有效性和正确性。

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.