基于最小奇异值遗传退火算法的电压稳定性研究  

Genetic Annealing Method of Based on the Minimum Singular Value for Voltage Stability

作　　者：吴昊[1] 卫志农[1] 王成亮[2] 姜理源[1] 

机构地区：[1]河海大学能源与电气学院,江苏南京210098 [2]江苏方天电力技术有限公司,江苏南京211102

出　　处：《电气自动化》2011年第4期35-38,共4页Electrical Automation

基　　金：江苏省电力公司2009年重点科技项目(J2009032)

摘　　要：由于远距离送电及重负荷运行导致电网运行在电压稳定裕度较低的工作点,因此如何改善静态电压稳定预防控制受到广泛的关注。最小奇异值分析法在静态电压稳定研究中得到了广泛的应用,利用最小奇异值作为稳定裕度指标,提出了一种基于最小奇异值的遗传退火综合优化算法,通过优化有载调压变压器和PV节点电压量,改善电压稳定裕度,并在此基础上,利用模态分析,计算灵敏度信息确定电网的薄弱节点。利用IEEE9节点系统,在计算灵敏度时考虑负荷增长模型,用遗传退火综合法对稳定裕度计算,验证了算法的有效性。Because of the long distance transmission and the heavy service,the power network operates at a lower voltage stability margin.Thus,how to improve the preventive control of the steady-state voltage stability of power system has attracted a wide spread attention.the minimum singular value of the static voltage stability analysis in the study have been widely used,in this paper,the minimum singular value as the stability margin index,the minimum singular value based on an integrated genetic annealing algorithm,by optimizing the load tap voltage transformer and the PV node volume,it can improve the voltage stability margin,and on this basis,using modal analysis,computing sensitivity information to determine the weak points.Also,the IEEE 9-bus system,and the load increasing modes are applied in this calculation.The new algorithm is verified to be effective by comparing.

关 键 词：稳定裕度 最小奇异值 遗传算法 模拟退火法 灵敏度 

分 类 号：TM714.2[电气工程—电力系统及自动化]