针对新能源并网发电引起的间歇性问题，电力弹簧(ES)的提出可有效改善关键负载(CL)电能质量。当电网电压不平衡与线路阻抗阻性较大存在控制耦合时,单相多ES采用传统下垂控制无法获取稳定的电压和频率，因而需要实时修正参数的改进下垂控制策略。首先利用二阶广义积分发生器构造虚拟的正交电压和电流信号完成单相dq旋转坐标变换，进而提出用优化粒子群算法(PSO)实时改进下垂系数：PSO模块检测各CL两端电压不平衡度信息并生成状态变量矩阵，同时下垂控制模块实时采集线路信息并在每个周期更新时将其输入到PSO模块来优化电压偏差，其优化结果反馈到下垂参数并实时更新。最后，通过软件仿真对比传统下垂控制策略和改进下垂控制策略，验证了所提控制策略的有效性。

The electric spring (ES) can effectively improve the critical load (CL) power quality in view of the intermittent problems caused by new energy grid-connected power generation. When the grid voltage imbalance and line impedance resistance are large, there is control coupling. In this case, single-phase multi-ES cannot obtain stable voltage and frequency by traditional droop control. Therefore, it needs the droop control strategy with real-time correction of droop parameters. The second-order generalized integral generator is used to construct the virtual quadrature voltage and current signals to complete the single-phase dq rotational coordinate transformation. Then the optimized particle swarm optimization (PSO) is used to improve the droop coefficient in real time by detecting the voltage across the CL, collecting the balance information, and generating the state variable matrix. At the same time, the droop control module collects the circuit information in real time and inputs it to the PSO module to optimize the voltage deviation when each cycle is updated. The optimization result is fed back to the droop parameters for real-time update. Finally, the effectiveness of the proposed control strategy is verified by software simulation through comparing the traditional and the improved droop control strategies.

国家自然科学基金项目(61275038)；上海市“科技创新行动计划”地方院校能力建设专项项目（19020500700）