中文摘要：

为了准确、快速地求解电力系统环境经济调度（environmental economic dispatching，EED）问题，将基于分解的多目标进化算法（multi-objective evolutionary algorithm based on decomposition，MOEA／D）应用于电力调度领域，提出了基于MOEA／D的多目标环境经济调度算法。该算法首先采用Tchebycheff法将整个EEDPareto最优前沿的逼近问题分解为一定数量的单目标优化子问题，然后利用差分进化同时求解这些子问题，并在算法中加入约束处理及归一化操作，以获得最优的带约束EED问题的调度方案。最后，应用模糊集理论为决策者提供最优折中解。对IEEE30节点测试系统进行仿真计算，并与其它智能优化算法的调度方案对比。结果表明，该算法有效可行，且具有很好的收敛速度和求解精度。

英文摘要：

To solve the environmental economic dispatching （EED） problem quickly and accurately, the multi-objective evolutionary algorithm based on decomposition （MOEA/D） is applied in the field of power dispatching and a multi-objective EED dispatch method based on MOEA/D is proposed. In the proposed method, firstly the approximation of the entire EEl） Pareto-optimal front is decomposed into a certain amount of single-objective sub-problems using Tchebycheff algorithm; then these sub-problems are solved simultaneously utilizing differential evolution （DE） algorithm, and the constraint handling method and normalization operation are addedto achieve an optimal scheme of EED with constraints; finally, the fuzzy set theory is used to offer decision-makers an optimal compromise solution. Simulation of IEEE 30-bus system is performed and the simulation results are compared with dispatching schemes obtained by other intelligent optimization algorithms, and comparison result shows that the proposed method is effective and feasible, and both convergence speed and accuracy of the solution are satisfied.