中文摘要：

为解决电力系统经济问题中的多目标问题,如煤耗和排放两个目标函数间最优解的相互冲突,协调好各目标函数,提出一种基于交互式多目标处理方法的多种群遗传算法。该算法通过追求最小总体协调度,即寻求满足总体协调度的最短＂欧氏距离＂,来获得决策者的满意理想值;算法还引入精英策略和移民策略,提高寻优范围和效率,且能有效克服标准遗传算法通过迭代次数终止迭代、易早熟的缺陷。优化结果能体现决策者的主观意愿。实验算例验证了该算法的寻优效率,结果表明了算法的适用性和可行性。

英文摘要：

In order to tackle the multi-objective problems of economic in power system, such as the conflict between consumption and emissions optimal solution. In this paper, the improvement genetic algorithm method based on interactive multi-population is proposed for solving economic load dispatch in power system. The recommending method can effectively overcome the drawbacks that standard genetic algorithm is easily falling into termination due to iteration limitation and precocious. A method based on target satisfaction and overall coordination degree interactive multi-ob- jective process, is utilized to solve coal consumption and emission problems. By seeking vector space to meet the short- est ＂Euclidean distance＂ of the overall coordination degree, the decision maker＇s satisfactory can be fulfilled via ＂elite strategy＂ and ＂immigration strategy＂. Test examples verify the efficiency, applicability and feasibility of the algorithm.