A Current-Based Security-Constrained Optimal Powe Flow by Multiple Particle Swarm Optimization

Electrical and Control Engineering(2010)

引用 0|浏览0
暂无评分
摘要
An Equivalent Current Injection (ECI) based Security-Constrained Optimal Power Flow (SCOPF) is presented in this paper and a Multiple Particle Swarm Optimization (MPSO) is developed for solving non-convex Optimal Power Flow problem. The OPF deals with both continuous and discrete control variables and is a mixed-integer OPF. The continuous control variables modeled are the active power output and generator-bus voltage magnitudes, while the discrete ones are the shunt capacitor devices. And first, security Analysis will be conducted before fault occurred in the system. Ranking method will be used to highlight the most severe event caused by the specific facility. Than, a preventive algorithm will make use of the contingency information, and could be kept the operator system security and avoided congestion when fault occurred.
更多
查看译文
关键词
mixed integer,discrete control variable,equivalent current injection,continuous control variables,security-constrained opf,generator-bus voltage magnitudes,mixed-integer opf,power capacitors,opf deal,non-convex optimal power flow,particle swarm optimisation,power system security,current-based security-constrained optimal powe,nonconvex optimal power flow,operator system security,continuous control variable,load flow control,optimal power flow,security analysis,multiple particle swarm optimization,security-constrained optimal power flow,discrete control variables,shunt capacitor,security constrained optimal power flow,genetic algorithms,operating system,power flow,constrained optimization,particle swarm optimization,security,load flow,simulated annealing
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要