基于改进粒子群算法的主动配电网无功优化  

Reactive Power Optimization of Active Distribution Network Based on Improved Particle Swarm Algorithm

作　　者：高金兰[1] 刁楠 侯学才 孙永明 薛晓东 GAO Jin-lan;DIAO Nan;HOU Xue-cai;SUN Yong-ming;XUE Xiao-dong(School of Electrical and Information Engineering,Northeast Petroleum University,Daqing 163318 China)

机构地区：[1]东北石油大学电气信息工程学院,黑龙江大庆163318

出　　处：《自动化技术与应用》2024年第11期19-23,共5页Techniques of Automation and Applications

摘　　要：随着分布式电源在配电网中的广泛应用,部分地区电压越限、有功网损增加的现象时有发生。但传统算法求解无功优化无法适应当代配电网的要求。因此,提出一种改进的粒子群算法应用于主动配电网无功优化。首先,建立有功损耗、电压偏移和、节点最低电压值的多目标函数,通过线性加权求和的方法将多目标函数转换为单目标。然后,提出一种基于种群集中度概念的惯性权重调整,并在算法的学习因子中引入正弦和余弦控制因子,利用改进后的算法进行主动配电网无功优化。最后,在改进的IEEE33节点上进行仿真,验证所提出算法的可行性、有效性。With the wide application of distributed power supply in distribution network,the phenomenon of off-limit voltage and increase of active power network loss often occurs in some areas.However,the traditional reactive power optimization algorithm can not meet the requirements of modern distribution network.Therefore,an improved particle swarm algorithm is proposed.Firstly,the multi-objective function of active power loss,voltage offset and the lowest voltage value of and node is established,and the multi-objective is converted into single objective by linear weighted summation method.Then,a kind of inertia weight adjustment based on the concept of population concentration is proposed,and sine and cosine control factors are introduced into the learning factor of the algorithm,and the improved algorithm is used to optimize the reactive power of active distribution network.Finally,simulation is carried out on the improved IEEE33 node to verify the feasibility and effectiveness of the proposed algorithm.

关 键 词：改进的粒子群算法 无功优化 主动配电网 多目标 线性加权求和法 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程] TM732[自动化与计算机技术—控制科学与工程]