中国电机工程学报2012，Vol.32Issue(z1)：1-6,6.
快速群搜索优化算法及其在电力系统经济调度中的应用
Fast Group Search Optimizer and Its Application to the Economic Dispatch of Power Systems
摘要
Abstract
Economic dispatch (ED) is an important task in the optimization problems of a power system. To obtain a more accurate and realistic ED model, the valve-point effect and the multiple fuels of units are considered. However, the ED model is non-convex, high-dimensional, non-linear and non-differentiable, which makes it more difficult to be solved. To solve the ED model better, a fast group search optimizer (FGSO) was proposed, which can obtain more accurate results with less computation. The ED model on three test systems was solved and the simulation results showed that FGSO converged faster, consumed less time and obtained results with smaller value of fuel cost than the other algorithms adopted in this paper. Furthermore, FGSO performed especially well in the optimization problems with multiple local optimum values. Thus, FGSO is feasible, fast and effective in solving the complex ED model.关键词
经济调度/阀点效应/多燃料/群搜索优化算法/遗传算法/粒子群优化算法Key words
economic dispatch (ED)/ valve-point effect/ multiple fuels/ group search optimizer (GSO)/ genetic algorithm (GA)/ particle swarm optimization (PSO)分类
信息技术与安全科学引用本文复制引用
詹俊鹏,郭创新,吴青华,温柏坚..快速群搜索优化算法及其在电力系统经济调度中的应用[J].中国电机工程学报,2012,32(z1):1-6,6.基金项目
高等学校博士学科点专项科研基金资助课题(20090101110058) （20090101110058）
国家自然科学基金项目(51177143). （51177143）
