针对传统光储跟网变流器接入有源配电台区导致的电压波动、可再生能源利用率低及线路损耗问题，提出了一种基于改进混沌粒子群优化的构网型光储接入优化控制策略。首先构建了以负荷电压偏差最小化、光伏发电功率最大化及线路损耗最小化为目标的多目标优化模型。根据系统需求，设定负荷电压偏差的优化优先级最高，线路损耗最低。通过优先级排序将多目标问题转化为3个单目标优化问题。为提高求解效率，改进了混沌粒子群算法初始参数选取策略。仿真结果表明，所提方法具有更快的收敛速度和更高的求解精度，验证了控制策略的有效性。

A grid-forming photovoltaic energy storage access optimization control strategy based on improved chaotic particle swarm optimization is proposed to address the issues of voltage fluctuations, low utilization of renewable energy, and line losses caused by the integration of traditional photovoltaic energy storage grid-forming inverters into active distribution stations. Firstly, a multi-objective optimization model is constructed with the objectives of minimizing load voltage deviation, maximizing photovoltaic power generation, and minimizing line losses. According to system requirements, the optimization priority for load voltage deviation is set to be the highest and the line loss is the lowest. Multi-objective problems are transformed into three single objective optimization problems through priority sorting. To improve the efficiency of solving, the initial parameter selection strategy of the chaotic particle swarm algorithm is improved. The simulation results show that the proposed method has faster convergence speed and higher solution accuracy, which verify the effectiveness of the control strategy.