基于日负荷曲线的改进粒子群算法  

Improved Particle Swarm Optimization FA Based on Daily Load Curve

作　　者：周月乔 郑学华 ZHOU Yueqiao;ZHENG Xuehua(Faculty of Intelligent Science and Engineering,Hubei University for Nationalities,Hubei Enshi 445000,China;Badong County Power Supply Company of State Grid Hubei Electric Power Co.,Ltd.,Hubei Badong 444300,China)

机构地区：[1]湖北民族大学智能科学与工程学院,湖北恩施445000 [2]国网湖北省电力有限公司巴东县供电公司,湖北巴东444300

出　　处：《电工材料》2023年第4期40-42,共3页Electrical Engineering Materials

摘　　要：本研究基于负荷曲线改进粒子群算法,使线损计算能够迭代至全局最优解,可以解决分布式电源配电网线损的计算问题。这种方法概念简单,易于完成,不需要很多配电网的主要运行参数。根据负荷曲线的求解,去除和弱化假设标准,提高线损计算精度。最后在建立IEEE33连接点配电系统模型仿真的基础上根据实例进行计算,验证该方法的有效性和创新性。This paper points out that the improved particle swarm optimization algorithm based on load curve can make the line loss calculation iterative to the global optimal solution,which can solve the problem of distributed power distribution network line loss calculation.This method is simple in concept and easy to complete.It does not require many of the main operating parameters of the distribution network.According to the solution of load curve,the assumption standard is removed and weakened to improve the precision of line loss calculation.Finally,based on the simulation of IEEE33 connection point distribution system model,the calculation is carried out according to an example to verify the effectiveness and innovation of the proposed method.

关 键 词：分布式电源 配电网 线损 负荷曲线 粒子群算法 

分 类 号：TM715[电气工程—电力系统及自动化]