摘要
独立型微电网作为海岛和偏远地区用电问题的有效方案得到广泛关注,而微电网优化配置是微电网规划设计阶段需要解决的首要问题.将微电网等年值成本作为经济性指标以及新能源渗透率作为环保性指标,以供电经济性和环保性为优化目标,建立含风力、光伏、柴发和储能的独立型微电网多目标优化配置模型.分别采用非劣排序遗传算法(NSGA-II)和最大模糊满意度法进行多目标求解,寻求微电网分布式电源容量最优配置.算例表明多目标遗传算法可求得Pareto解集,而最大模糊满意度法通过模糊转化求得唯一最优解,证明所提方法有效,为独立型微电网优化设计提供必要的依据.
Stand-alone microgrid systems in the islands and remote areas have aroused enough attention, and it is a priority to optimize the system configuration. The paper presents a optimal configuration mode of stand-alone wind-solar-diesel-battery microgrid system with the economy and environmental protection as the optimization objectives. The non-dominated sorting genetic algorithm （NSGA-II） and the fuzzy satisfaction-maximizing method are adopted respectively to make multi-objective solution and seek the optimal configuration scheme. The results show that the Pareto sets are found by the NSGA-Ⅱ and the only optimal solution through fuzzy transformation is found by the fuzzy satisfaction-maximizing method. The proposed methods are proved to be effective. They can provide the necessary basis for the optimize the design.
出处
《浙江工业大学学报》
CAS
北大核心
2016年第6期619-623,共5页
Journal of Zhejiang University of Technology
基金
浙江省自然科学基金资助项目(LY16E070005
LQ14E070001)
国家自然科学基金资助项目(51407160)
关键词
独立型微电网
多目标优化配置
改进型非劣排序遗传算法
最大模糊满意度法
stand-alone microgrid
multi-objective optimal sizing
the non-dominated sortinggenetic algorithm（NSGA- Ⅱ ）
the fuzzy satisfaction-maximizing method
