中文摘要：

建立了耦合动态经济调度（dynamic economic dispatch,DED）和环境经济调度（economic emission dispatch,EED）的电力系统动态环境经济调度（dynamic economic emissiondispatch,DEED）模型。DEED为多变量、非线性、强约束、多目标优化问题,国内外研究者通过将其转化为单目标或根据时间划分将其转化为一系列静态调度问题进行简化,但该类方法存在无法保证全局最优或计算效率低下问题。为此将非支配排序机制应用于差分进化算法中,并引入二次选择和随机替换操作克服早熟收敛,同时嵌入动态约束处理方法,提出带有动态约束处理的改进多目标差分进化算法用于求解DEED问题。算例结果验证了所提方法的有效性。

英文摘要：

A dynamic economic emission dispatch（DEED） model coupling dynamic economic dispatch（DED） with economic emission dispatch（EED） is presented.DEED is a multi-variable,nonlinear,strong-constraint,multi-objective optimization problem and is simplified home and abroad by turning it into single-objective problem or into a series of static dispatch problems according to time dividing,however there are defects in these methods that the global optimum cannot be ensured and the simplification leads to low computational efficiency.For this reason,the non-dominated sorting mechanism is applied in differential evolution algorithm and the second selection and random replacement operators are introduced to overcome premature convergence,meanwhile the method to process constraints dynamically is embedded,thus an enhanced multi-objective differential evolutionary algorithm with dynamic constraints handling（EMODEDCH） is proposed to solve DEED problem.The results of case study validate the effectiveness of the proposed method.