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基于改进粒子群算法的配电网无功优化研究 被引量:2

Reactive Power Optimization of Distribution Network Based on Improved Particle Swarm Algorithm
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摘要 采用改进粒子群算法对配电网进行无功优化,以IEEE14节点电力系统为例,建立粒子群算法的数学模型,引入线性递减惯性权重对粒子群算法进行改进,使用MATLAB软件进行仿真运算。比较两种算法对节点系统无功优化后的网损大小和收敛速度,验证采用研究方法的有效性和可行性。 The improved particle swarm algorithm is used to optimize the reactive power of distribution network.Taking IEEE14-node power system as an example,the mathematical model of particle swarm algorithm is established,the linear decreasing inertia weight is introduced to improve the particle swarm algorithm,and the MATLAB software is used for simulation operation.The network loss and convergence speed of the two algorithms are compared after reactive power optimization of the node system,which verifies the effectiveness and feasibility of this research method.
作者 张尚然 ZHANG Shang-ran(Department of Electrical and Electronic Engineering,Hebei Petroleum University of Technology,Chengde 067000,Hebei,China)
出处 《承德石油高等专科学校学报》 CAS 2022年第5期64-66,90,共4页 Journal of Chengde Petroleum College
关键词 配电网 粒子群算法 无功优化 distribution network particle swarm algorithm reactive power optimization
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