为实现微电网系统运行的经济和环境双重优化目标,以独立的系统仿真模块和运行优化模块为核心,建立了微电网多目标动态优化调度的一般模型。仿真模块使用能量模型对系统调度方案的经济、环境指标进行评估,运行优化模块则使用多目标遗传算法NSGA-Ⅱ,结合仿真模块的评估结果对调度方案进行优化。在NSGA-Ⅱ中引入了初始点引导技术和去重操作,有效地改善了算法的收敛性能和Pareto前沿的分布特性。将该模型和方法应用于典型风光蓄柴微电网系统的日前优化调度,证实了所建模型和所提方法的有效性。
A general model of dynamic multi-objective optimal dispatch is constructed to minimize the operational and environmental costs of microgrid,which takes two independent modules as its core:system simulation module and operation optimization module. The simulation module applies the energy model to evaluate the economic and environmental indexes of dispatch scheme while the optimization module applies the multi-objective generic algorithm of NSGA-Ⅱ to optimize the scheme. The initial-point-guide technology and the duplicate-removal operation are introduced into NSGA-Ⅱ to improve its convergence performance and the distribution characteristics of its Pareto front. The model and method are applied in the day-ahead optimal dispatch of a typical PV-wind-battery-diesel microgrid,which verifies their effect.