基于免疫粒子群算法的新能源配电网无功优化  

Reactive Power Optimization of New Energy Distribution Network Based on Immune Particle Swarm Algorithm

作　　者：李程 奚莉莉 LI Cheng;XI Lili(Anhui Yangzi Vocational and Technical College,Wuhu Anhui 241080,China)

机构地区：[1]安徽扬子职业技术学院,安徽芜湖241080

出　　处：《佳木斯大学学报（自然科学版）》2024年第4期32-35,51,共5页Journal of Jiamusi University：Natural Science Edition

基　　金：2021年安徽高校自然科学研究重点项目(KJ2021A1602)。

摘　　要：配电网中风力发电机组以及光伏系统等新能源电力系统的介入,易导致其受到不稳定性影响。针对这一问题,提出以免疫粒子群算法为基础的配电网协同电压控制系统。通过梯形模糊数对分布式电源当中具有不确定性的变量进行保证,对相应无功优化模型进行搭建;通过无功补偿以及分布式电源对无功功率进行协同优化,建立相应的目标函数以及约束条件,结合免疫粒子群算法进行求解。算例以IEEE-33节点系统为依据,经过算例验证,该办法能够更好对新能源配电网进行无功调节,保证其稳定运行。The intervention of new energy power systems such as wind turbines and photovoltaic systems in the distribution network is easy to cause them to be affected by instability.To solve this problem,a coordinated voltage control system of distribution network based on immune particle swarm algorithm is proposed.The uncertain variables in the distributed power supply are guaranteed by the trapezoidal fuzzy number,and the corresponding reactive power optimization model is constructed.The reactive power is co-optimized by reactive power compensation and distributed power supply,the corresponding objective function and constraints are established,and the immune particle swarm algorithm is combined to solve the problem.The study is based on the IEEE-33 node system,and the study verifies that this method can better regulate the reactive power of the new energy distribution network and ensure its stable operation.

关 键 词：无功补偿 分布式电源 协同电压 粒子群算法 

分 类 号：TM721[电气工程—电力系统及自动化]