低压光伏集群无功运行模式优化

Study on reactive power operation mode optimization of low voltage photovoltaic cluster

配电网中存在大量低压接入的分布式小容量光伏电源,其规模庞大且实时通信条件有限,在线调节的经济性和可操作性没有保障,因此难以有效利用这些无功资源进行配电网辅助调节。在此背景下,为发挥低压光伏无功调节潜力,提出一种按集群进行模式预设、在线自律运行的低压光伏参与中压电网无功运行模式优化策略。首先,以配变台区为无功集群单元进行平台化管理,以补偿馈线无功需求为目标进行日前无功匹配优化;其次,设计5种集群无功运行模式,构建日前预测运行场景并依据场景特征建立综合考虑馈线无功平衡度最优和集群间无功流动最小为目标的集群无功运行模式及参数优化模型,运用改进粒子群算法进行优化求解,使集群在各时段的运行模式组合方案能够最佳匹配馈线的无功需求并抑制无功不合理流动。最后,算例验证了该方法的有效性。

There are a large number of low-voltage distributed small-capacity photovoltaic power supply in the distribution network.Due to its large scale and limited real-time communication,its economy and operability of online adjustment can not be guaranteed.It is difficult to effectively use these reactive resources for auxiliary adjustment of the distribution network.Under the background,this paper proposes a low-voltage photovoltaic participating in the reactive power operation mode optimization strategy of medium-voltage grids based on cluster mode presets and online autonomous operation to make full use of the potential of low-voltage distributed PVs(LVDPVs).Firstly,LVDPVs linked with the same transformer are assigned to a cluster and managed by a terminal platform.Secondly,the day-ahead reactive power mode optimization is carried out aiming at compensating load reactive power demand within a feeder.Then,five cluster reactive power operation modes are designed and the day-ahead prediction operation scenario is constructed.In addition,a cluster reactive power operation mode and parameter optimization model is established considering the optimal feeder reactive power balance and the minimum reactive power flow between clusters based on the scene characteristics.The improved particle swarm optimization algorithm is employed to solve the problem.Finally,examples verify the effectiveness of the proposed method.