分布式光伏接入的配电网无功优化研究  

Research on reactive power optimization of distribution network with distributed photovoltaic access

作　　者：武晓朦 杨明月 WU Xiaomeng;YANG Mingyue(Shaanxi Key Laboratory of Measurement and Control Technology for Oil and Gas Wells,School of Electronic Engineering,Xi’an Shiyou University,Xi’an 710065,China)

机构地区：[1]西安石油大学电子工程学院陕西省油气井测控技术重点实验室,陕西西安710065

出　　处：《现代电子技术》2021年第17期162-168,共7页Modern Electronics Technique

基　　金：陕西省教育厅科研计划重点项目(18JS094);西安石油大学研究生创新与实践能力培养项目(YCS19113054);陕西省自然科学基础研究计划资助项目(2020JM-542);陕西省科技计划基础研究项目(2021JM-404)。

摘　　要：针对分布式光伏接入配电网之后引起网络的潮流方向发生不确定性改变,节点电压存在越限风险,提出光伏无功出力与静止无功发生器(SVG)协调控制的控制策略。以网损、电压偏移最小为目标建立多目标优化数学模型,与以往多目标优化算法需将多目标转化为单目标问题求解不同,采用基于Pareto最优解的多目标粒子群优化算法。为保证解的多样性,防止算法早熟收敛,依据拥挤距离排序法形成每个粒子的小生境,采用小生境共享机制更新粒子位置,提高粒子适应度,同时将外部档案维护和全局最好位置选取相结合。最后,在IEEE 33节点配电网系统中加入光伏、SVG、电容器组,对不同方案进行算例分析,仿真结果验证了所提控制策略及改进多目标粒子群算法的有效性。In view of the uncertainty change of the power flow direction of the network and the fact that the voltage of each node is no longer regular after the distributed photovoltaic is connected to the power distribution network,a control strategy of coordinated control of photovoltaic reactive power output and static var generator(SVG) is proposed. A multi-objective optimization mathematical model is established by taking the minimum network loss and voltage deviation as the goal. Being different from the previous multi-objective optimization algorithms which need to transform multi-objective into single-objective problems for solution,a multi-objective particle swarm optimization(MOPSO) algorithm based on Pareto optimal solution is adopted. In order to ensure the diversity of the solutions and prevent the algorithm from premature convergence,the niches of each particle are formed according to the crowding distance sorting method,and the niche sharing mechanism is used to update the position of the particles and improve their adaptability. In addition,the external archive maintenance is combined with the selection of the best global position. Finally,simulation analysis was carried out in the IEEE 33 node distribution network system after photovoltaic,SVG and capacitor banks are added to the system. The simulation results have proved the effectiveness of the control strategy and the improved MOPSO algorithm.

关 键 词：分布式光伏接入 无功优化 SVG 改进粒子群算法 PARETO最优解 小生境 外部档案维护 

分 类 号：TN99-34[电子电信—信号与信息处理] TM714.3[电子电信—信息与通信工程]