中文摘要：

电力系统动态环境经济调度（DEED）在节能减排中具有举足轻重的地位。针对NSGA-Ⅱ的不足,提出一种具有可控精英主义的选择操作的改进NSGA-Ⅱ（MNSGA-Ⅱ）,在保证精英主义的前提下保证种群的多样性。对模型复杂约束的启发式操作中所遇到的进化受阻问题进行分析,并采用基于前向搜索算子的改进启发式操作解决该问题。利用新型成员函数表征Pareto最优解集中个体的优劣性,选出最佳折中解。经典10机系统算例仿真结果表明,与NSGA-Ⅱ相比,所提MNSGA-Ⅱ具有更佳的全局搜索能力。

英文摘要：

The power system DEED（Dynamic Economic Emission Dispatch） plays an important role in the energy saving and emissions reduction. Aiming at the shortage of NSGA-Ⅱ（Non-dominated Sorting Genetic Algorithm-Ⅱ）,the MNSGA-Ⅱ（Modified NSGA-Ⅱ） with controllable elitism is proposed,which ensures the diversity of population on the premise of elitism. The evolution blocking problem occurred in the heuristic operation under the complicated constraints of model is analyzed and the improved heuristic operation based on forward-search operator is adopted to solve it. A new membership function is defined to describe the superiority-inferiority of each individual of Pareto optimal set for selecting the optimal compromise solution.The simulative results of the classic 10-unit test system show that,compared with NSGA-Ⅱ,the MNSGA-Ⅱhas better global searching ability.