一种基于发电场负荷优化的差分进化算法

优化发电负荷在限制碳排放的电力行业具有实际意义。燃煤发电负荷优化的主要目标是在保持一定输出和维持环境许可的NO，排放量的情况下，减少燃料消耗。通过把MA算法中差分进4E（DE）的竞争变换和单纯形法相融合，利用约束处理手段调整选择准则，优化并约柬发电负荷，提出了一个有效算法DESx。基于燃煤电厂仿真结果清楚表明，在发电负荷优化效率和计算时间上，提出的方法非常有效。

A Differential Evolution Algorithm Based on the Workload Optimization of Power Generation Plants

Work load optimization in power generation plants is of great importance in carbon constrained power industry. The main objective of the coal-fired power generation workload optimization is to minimize fuel consumption while keeping the desired output and to maintain NOx emission within the environmental license limit. In this article, we represent an efficient algorithm DESx based on Memetic Algorithm（MA） with a constraint handling method for the power generation loading optimization. This MA is developed by combining a competitive variant of Deferential Evolution （DE） and Simplex method, and using the constraint handling method to modify the selection rule which guides the search process in better direction. The simulation results based on a coal-fired power plant clearly indicate that our proposed method is very effective and it shows great computational efficiency in power generation workload optimization.