考虑光伏集群无功贡献的配电网无功电压优化调节方法

为协调运用配电网各类调压资源，实现经济、灵活的电压控制，整合中高压配电网各类无功治理设备，提出考虑低压光伏无功集群贡献的配电网电压无功控制资源协调运行优化方法。针对配电网低压侧分布式小容量离线运行光伏电源，设计了3种光伏集群无功运行模式，使其按模式预设在线自律运行。提出低压光伏集群无功管控策略，建立配电网电压无功控制资源协调优化模型。采用最优分割联合优化方法对变压器分接头及电容器组的切换时间及切换状态进行优化，在此基础上得出光伏集群无功运行模式及其他治理设备无功输出优化结果。采用前推回代潮流计算嵌套粒子群优化的算法进行求解。仿真算例证明了所提方法的合理性及有效性。

Reactive voltage optimization regulation method of distribution network considering the reactive power contribution of a photovoltaic cluster

In order to fully tap the reactive power regulation capacity of DG, coordinate the use of various voltage regulation resources of a distribution network, and realize economic and flexible voltage control, this paper integrates all kinds of reactive power control equipment in a medium and high voltage distribution network. It proposes a coordinated operation optimization method of voltage and reactive power control resources in a distribution network considering the contribution of a low voltage photovoltaic reactive power cluster. This method aims at the distributed small capacity off-line photovoltaic power supply at the low-voltage side of the distribution network, puts forward the reactive power management and control strategy of the low-voltage photovoltaic cluster, and designs three kinds of photovoltaic cluster reactive power operation modes, so that it can preset the on-line self-regulation operation according to the mode. In addition, it establishes a distribution network reactive power control resource coordination optimization model, and adopts an optimal division joint optimization method to cut the transformer tap and capacitor bank. Based on the optimization of switching time and switching state, the reactive power operation mode of a photovoltaic cluster and the reactive power output optimization results of other governance equipment are obtained. The forward and backward power flow calculation is nested into the particle swarm optimization algorithm. The simulation results show that the proposed method is reasonable and effective.This work is supported by National Natural Science Foundation of China (No. 51607153) and Science and Technology Project of State Grid Hebei Electric Power Co., Ltd. (No. KJ2018-003).