静止同步串联补偿器的优化选址定容方法  

Locating and Sizing Optimization of Static Synchronous Series Compensator

作　　者：赵坚鹏 宋洁莹 许建中 宋方方 于弘洋[2] 陆振纲 赵成勇 刘云[3] 

机构地区：[1]新能源电力系统国家重点实验室(华北电力大学),北京市昌平区102206 [2]先进输电技术国家重点实验室(全球能源互联网研究院),北京市昌平区102200 [3]国网天津市电力公司电力科学研究院,天津市西青区120000

出　　处：《电网技术》2017年第6期1941-1948,共8页Power System Technology

基　　金：国家电网公司科技项目“220 kV静止串联同步补偿器关键技术研究及示范应用”(SGRI-DL-71-15-004)~~

摘　　要：针对静止同步串联补偿器(static synchronous series compensator,SSSC)在选址定容方面研究不足的问题,提出了一种灾变变速量子遗传算法用于SSSC的选址定容优化。推导了包含SSSC的电力系统潮流方程,建立了SSSC在电网中的数学模型;通过潮流计算得到系统的有功损耗、电压偏移率和负荷裕度,使用归一化的处理方法将不同量纲的量同时考虑,并赋以权重,得到目标函数;使用所提灾变变速量子遗传算法求取目标函数的最优解。在Matlab下分析了不同权重下最优解的分布情况,为权重的选择提供了依据。同时与另外2种算法进行对比,结果表明提出的算法在寻优结果稳定性、收敛速度和全局寻优能力上有所改善。This paper proposes a cataclysm gear shift quantum genetic algorithm to address issues of optimal locating and sizing strategies of static synchronous series compensator （SSSC） in AC power system. Power flow equations containing SSSC is provided. Hence mathematical model of SSSC in power grid is established. System power loss, voltage drift rate and load margin are all calculated with power flow equations. Using data normalization method, physical quantities in different dimensions are considered at the same time. By setting objective weights to these physical quantities, objective function is given. Using the proposed quantum genetic algorithm, optimal objective function is obtained, and thus SSSC locating and sizing can be solved effectively. This paper focuses on optimization of IEEE 39-bus system under different weights. Simulations on MATLAB validated effectiveness of the proposed algorithm.

关 键 词：静止同步串联补偿器 量子遗传算法 选址定容 

分 类 号：TM72[电气工程—电力系统及自动化]