摘要
基于内点半定规划,提出一种直接求解{0,1}-经济调度问题({0,1}-ED)的新方法。通过引入辅助变量,该方法将原整数变量约束转化为凸二次约束,进而将{0,1}-ED问题转化为半定规划问题,并用内点法进行求解。对于大系统整数变量的微小偏差,应用简单的启发式技术调整。ED-420等9个测试系统的仿真结果表明,所提方法能够有效地处理{0,1}-经济调度,对于大多数问题都可以得到较精确的结果,计算时间具有多项式复杂性。
This paper presents a method based on semidefinite programming (SDP)technique to solve a the {0, 1 }-economic dispatch(ED)prohlem. Original integer-constraints are converted to convex quadratic constraints by introducing special auxiliary variables,and then the { 0, 1 }-ED problem is transformed into a SDP model which can be solved by interior point method (IPM). Minor imismatches of integer variables in large test system can be easily corrected by a simple heuristic method. Simulation study on nine generator test systems shows that the proposed approach can solve the {0,1 }-ED problem,accurately and efficiently.
出处
《电力系统及其自动化学报》
CSCD
北大核心
2008年第2期121-125,共5页
Proceedings of the CSU-EPSA
基金
国家自然科学基金支持(50467001)
高校博士学科点专项科研基金支持(20060593002)
关键词
经济调度
半定规划原问题
内点法
凸优化
economic dispatch(ED)
primal semidefinite programming(PSDP)
interior point method(IPM) convex optimization