【作者】 张雪雯； 李艳君；

【Author】 Zhang Xue wen, Li Yan jun Institute of Intelligent Systems & Decision Making, Zhejiang University, Hangzhou 310027

【机构】 浙江大学智能系统与决策研究所；

【摘要】 带阀点效应的经济负荷分配问题是个不连续、非线性、含等式约束的优化问题,很难应用经典数学算法来解决。针对忽略网损的经济负荷分配问题,本文提出一种带可行引导的粒子群优化算法,针对问题的等式约束,提出一种简单可行的引导算法来修正不可行解;并采用概率性自适应变异,提高了算法的全局收敛性。对常用仿真算例进行了测试,并与其他改进智能算法进行了比较,结果表明了该算法的有效性。更多还原

【Abstract】 The economic load dispatch problem with valve-point effects has nonsmooth cost functions with equality and inequality constraints for optimization. It is very difficult to find the global optimum for such kind of problems because of its discontinuous, nonconvex, nonlinear characteristics. An feasibility guided particle swarm optimization algorithm is presented in this paper to solve the economic load dispatch problem. A kind of feasibility repairing mechanism is presented to adjust the infeasible solutions. Moreover, an adaptive mutation scheme is adopted to guide agents reaching global optimum. The proposed algorithm is tested by two cases in comparison with other intelligent searching methods, and thus the superiority is guaranteed.更多还原