基于CPSOGSA算法的风-光-小水电微电网负荷频率最优 鲁棒控制

在构建以新能源为主体的新型电力系统背景下，分布式光伏呈现高比例渗透趋势。光伏出力的波动性易引起配电网电压越限和三相不平衡问题，同时光伏逆变器的剩余容量又具有无功主动支撑作用，有利于改善电压质量。而且配电网阻感比大、电压与有功耦合明显，导致配电网电压受光伏有功无功的综合影响而更加复杂。从电压适应性角度研究配电网接纳三相和单相分布式光伏的承载能力。首先，按统计学原理分别建立最大值、期望值和众数值等反映电压质量的统计特征指标，并从光伏渗透率和接入分散程度两方面描述分布式光伏的接入特征。其次，基于历史天气数据构建典型日场景，考虑光伏主动参与无功支撑作用，运用随机模拟分析得出各节点电压质量统计指标。最后，采用AHP-CRITIC组合赋权法分别对电压偏差和不平衡指标进行一定的加权组合，综合反映电压适应性。应用OpenDSS软件进行算例分析，结果验证了所提方法的有效性。

Optimal robust control for the load frequency of a microgrid including wind

This paper proposes a method to design the optimal hybrid robust controller considering the norm weight in the optimization process and applies it to the load frequency control of the microgrid, including wind turbine, photovoltaic and small hydropower. Based on the established microgrid load frequency model, the controller optimization takes the minimum square integral of the frequency fluctuation of the system as the optimization objective, integrates the robust performance expressed by the two norms, and designs an optimal hybrid robust controller. The particle swarm gravitation search algorithm based on contraction coefficient (CPSOGSA) is used to optimize the relevant weighting matrix reflecting the system performance weight value, and output robust performance. The controller can achieve optimization under constraint conditions. The simulation results show that the proposed method has better dynamic performance for the load frequency of the microgrid under external disturbance and system internal parameter disturbance. This work is supported by the National Natural Science Foundation of China (No. 51869007)