基于增强型遗传算法和NPV的微网优化

Research on economical optimal operation based on improved adaptive genetic algorithm optimization with NPV

微电网作为一种可靠的、高质量的配供电网受到广泛关注。文中基于经济效益、环境污染、提高可靠性等方面进行规划管理。一方面优化分布式电源以及存储设备的容量和类型。另一方面提出一个基于NPV(一个经济指标)的目标函数,考虑各单元的初始成本、发电成本、环境成本和维护成本,并满足微电网运行的约束条件。基于MATLAB运用改进的自适应遗传算法优化目标函数,确定各单元最优的容量,最后通过实例比较,验证了所提出方法的有效性。

Micro-grids have attracted considerable attention as a high-quality and reliable supply and distribution network ol electricity. In this paper,energy management in micro-grids is addressed in the light ol economic eff iciency, environmental pollution, and reliability improvement. On the one hand, optimizing the type and capacity of distributed generation sources, as well as the capacity of storage devices,on the other hand,this paper puts forward an objective function which based on a NPV （ an economic indicator）,considering the initial cost power generation co st ,environment cost and maintenance cost of each unit, and satisfying the constraint conditions of the micro-grids operation. Using the improved adaptive genetic algorithm which based on MATLAB optimization objective function, determining the optimal capacity of each unit,finally through examples comparison,the method which is proposed from the paper proved it is effective.