基于改进蝙蝠算法的PMU优化配置研究  

Research on Optimal PMU Configuration Based on Improved Bat Algorithm

作　　者：陆睿琪 冯瑞 王舒雨 马刚[1] LU Ruiqi;FENG Rui;WANG Shuyu;MA Gang(School of Electrical and Automation Engineering,Nanjing Normal University,Jiangsu,Nanjing 210046,China)

机构地区：[1]南京师范大学电气与自动化工程学院,江苏南京210046

出　　处：《广东电力》2023年第8期47-53,共7页Guangdong Electric Power

基　　金：江苏省重点研发计划(产业前瞻与关键核心技术)项目:(BE2020081-4)。

摘　　要：传统单一的能源系统正过渡为多能流耦合综合能源系统,综合能源系统正面临量测误差问题。受投资约束,同步相量测量装置(phasor measurement unit,PMU)无法大面积配置,而系统内节点数多,供需不平衡,影响系统平稳运行。为此,提出一种适用于综合能源系统内PMU优化布点的方法,监测系统运行状况。首先,考虑热电气之间的耦合特性建立综合能源系统状态估计模型;然后,限制系统内PMU配置个数,以提高状态估计精度为目标,利用改进的蝙蝠算法(improved bat algorithm,IBA)对PMU进行优化选址;最后,通过IEEE 30节点系统算例,将所提算法与遗传算法和模拟退火算法对比,算例结果表明该算法具有更高的可行性和优越性。The integrated energy system(IES) with multiple energy flows is facing measurement errors that affect the system operation.To this end,a method is proposed to optimize the placement of Phasor Measurement Units(PMUs) within an IES.Firstly,the coupling characteristics between the thermal and electrical components are modelled.Secondly,the number of PMUs in the system is limited,and an Improved Bat Algorithm(IBA) is used to optimize the PMU location with the objective of improving the state estimation accuracy.The proposed IBA is compared with genetic algorithm and simulated annealing algorithm to verify its superiority by using the IEEE-30 node system example.

关 键 词：综合能源 优化配置 同步相量测量装置 状态估计 改进的蝙蝠算法 

分 类 号：TM711[电气工程—电力系统及自动化]