计及分类需求响应的孤岛微网并行多目标优化调度

孤岛微网优化调度中的源荷协调性非常重要,却常被忽视。针对孤岛微网的运行特点,计及分类负荷需求响应,构建了以系统运行成本及污染排放最小化为目标的微网源荷协调多目标优化调度模型。并引入多核并行运算环境和多种群并行交叉变异机制,构建新型的并行多目标微分进化(PMODE)算法对模型进行高效求解,以调和常规智能算法寻优深度和速度间的矛盾。结合应用结果分析了分类负荷发生转移及削减前后对微网内各分布式电源的出力影响和负荷的峰谷调整状况。表明所提出的孤岛微网源荷协调优化调度模型可有效实现节能减排和提升风光消纳率,并验证了PMODE算法的优越性能。

Parallel multi-objective optimal dispatch of island micro-grid considering load classified demand response

As the source-load coordination in the dispatch optimization of island micro-grid is very important but often neglected, based on the operation characteristics of island micro-grid and load classified demand response, a multi-objective optimal dispatch model considering source-load coordination of micro-grid with goals of minimizing operation cost and pollution emission is established. By introducing multi-core parallel computing environment and multi-population parallel crossover mutation mechanism, a new Parallel Multi-objective Differential Evolution (PMODE) algorithm is designed to solve the model effectively, in order to harmonize the contradiction between optimization depth and speed of conventional intelligent algorithm. Based on the application results, the influence of classified load transfer and pre-and after cutting on the output of each distributed power in microgrid and the load adjustment of peak-valley are analyzed. The results show that the proposed optimal dispatch model can effectively realize energy saving and emission reduction and improve the utilization rate of wind/photovoltaic power, verifying the superior performance of PMODE. This work is supported by National Natural Science Foundation of China (No. 51567007 and No. 51867008) and Natural Science Foundation of Jiangxi Province (No. 20171BAB206042) and Jiangxi Innovate Foundation of Graduate (No. YC2017-S251).