改进的差分进化算法在电力经济调度中的应用

摘要

以优化发电系统中的发电总费用为目标,结合实际运行中机组的约束条件和阀点效应,建立了电力经济调度(ED)模型,并提出了求解该模型的改进的差分进化算法(ADE).针对标准差分进化算法存在的种群多样性和收敛性能之间的矛盾,在度量种群多样性的基础上,引入了基于排序的可行解选取递减策略改进变异策略current-to-best.此外,提出一种新颖的等式约束修复机制,确保求解的可行性.最后,利用13个机组的测试系统进行仿真试验,结果证明了ADE算法求解ED模型的有效性.%For the purpose of optimizing the total cost of power generation for power generating system,the power economic dispatch (ED) model is built by combining the constraints of the unit in practical operation and the valve-point effect,and an improved differential evolution ( ADE) algorithm is proposed to solve the model. Aiming at the contradiction between population diversity and convergence performance which is existing in standard traditional differential evolution algorithm, on the basis of measuring population diversity, a diminishing feasible solution selection mechanism based on sequencing is introduced to improve the mutation strategy current -to -best. In addition, the novel equality constraints repair mechanism is put forward to guarantee the feasibility of the solutions. Finally,test system with 13 units is used for simulation experiment;the results prove the effectiveness of ADE for solving ED model.