电力系统保护与控制2012，Vol.40Issue(12)：49-55,7.
基于改进自适应遗传算法的微电网负荷优化分配
Optimal load distribution of microgrid based on improved self-adaptive genetic algorithm
摘要
Abstract
The load distribution optimization in microgrid is given special attention to make the total power generation cost minimum by optimizing the power generated by each micro-source while satisfying the constraints on system operation and demands of loads in this paper. A mathematical model is developed for load distribution optimization in a microgrid taking into account the constraints of power system operation, load demand, micro-power fuel consumption, maintenance costs and start-up costs, as well as dynamic loss of network capacity and purchase or sale prices of electricity, etc. The economic operations of microgrid system at island model and grid-connected model are studied. And it proposes a genetic algorithm based on self-adaptive real-coded genetic algorithm to solve the problem of load distribution optimization in microgrid. Lastly, an illustrative system is calculated to verify the effectiveness of the algorithm proposed.关键词
微电网/负荷优化分配/成本最小/改进自适应遗传算法/运行模式Key words
microgrid/ load distribution optimization/ cost minimum/ self-adaptive genetic algorithm/ operating model分类
信息技术与安全科学引用本文复制引用
林伟,陈光堂,邱晓燕,王松,李锐,孟鹏,任增..基于改进自适应遗传算法的微电网负荷优化分配[J].电力系统保护与控制,2012,40(12):49-55,7.基金项目
四川省科技厅支撑项目(2011GZ0036) （2011GZ0036）
四川省电力公司科技项目(11H0892) （11H0892）
