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

作　　者：林伟[1] 陈光堂[2] 邱晓燕[2] 王松[2] 李锐[2] 孟鹏[2] 任增[2] 

机构地区：[1]四川省电力公司通信自动化中心,四川成都610041 [2]四川大学电气信息学院智能电网四川省重点实验室,四川成都610065

出　　处：《电力系统保护与控制》2012年第12期49-55,共7页Power System Protection and Control

基　　金：四川省科技厅支撑项目(2011GZ0036);四川省电力公司科技项目(11H0892)

摘　　要：主要研究了微电网负荷优化分配的问题,即在满足微电网安全运行约束和负荷需求的条件下,优化微电源的出力,使微电网的发电总成本最小。分析建立了微电网负荷优化分配的数学模型,考虑了微电网运行约束条件、负荷需求,微电源的燃料消耗、维护成本与起动成本,以及动态的网络损耗量和购电、售电价格等。研究了微电网分别处于孤网运行与联网运行时的经济性。并运用基于实数编码的改进自适应遗传算法对其进行数值求解。最后,通过算例验证了所提出的方法的有效性。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 

分 类 号：TM715[电气工程—电力系统及自动化]