基于前推回代法的含DG配电网无功优化  

Reactive Power Optimization of Distribution Network with DG Based on Forward Pushback Generation Method

作　　者：徐婕 俞斌 白隆 顾晋豪 XU Jie;YU Bin;BAI Long;GU Jinhao(School of Automation,Nanjing University of Information Science and Technology,Nanjing 210044,China;School of Automation,Wuxi University,Wuxi 214105,China)

机构地区：[1]南京信息工程大学自动化学院,南京210044 [2]无锡学院自动化学院,无锡214105

出　　处：《自动化与仪表》2024年第11期13-17,110,共6页Automation & Instrumentation

摘　　要：针对分布式电源接入配电网导致的潮流变化,电压稳定性降低等问题,提出了基于前推回代法的含分布式电源配电网无功优化的改进算法。以网损、电压波动和储能系统的总容量最小为目标函数建立无功优化模型,采用前推回代法结合改进的多目标粒子群算法进行潮流计算,通过自适应调整惯性权重和适应度函数,显著提升了该算法的收敛速度。用IE333节点系统进行仿真分析,实验结果表明,该算法在求解含分布式电源的配电网无功优化表现出色,不仅有效降低网络损耗,提升电压的稳定性,还验证了分布式光伏电源的接入对系统电压具有支撑和调节作用。In order to solve the problems of power flow change and voltage stability reduction caused by distributed generation access to the distribution network,an improved algorithm for reactive power optimization of distributed distribution network based on the forward pushback generation method was proposed.The reactive power optimization model is established with the network loss,voltage fluctuation and the minimum total capacity of the energy storage system as the objective functions,and the forward pushback algebra method combined with the improved multi-objective particle swarm optimization algorithm is used to calculate the power flow,and the convergence speed of the algorithm is significantly improved by adaptively adjusting the inertia weight and fitness function.The simulation analysis of the IE333 node system shows that the algorithm has excellent performance in solving the reactive power optimization of the distribution network with distributed generators,which not only effectively reduces the network loss and improves the stability of the voltage,but also verifies that the access of distributed photovoltaic power generation has a supporting and regulating effect on the system voltage.

关 键 词：分布式电源 前推回代法 改进多目标粒子群算法 潮流计算 无功优化 

分 类 号：TM732[电气工程—电力系统及自动化]