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基于NSGA-Ⅱ算法的分布式电源与微电网分组优化配置 被引量:41

Optimal Allocation Between Distributed Generations and Microgrid Based on NSGA-Ⅱ Algorithm
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摘要 提出含风力、光伏等分布式电源和微电网之间的混合集成供电系统及其优化配置方法。与分布式电源直接并网以及微电网集中供电方案相比,该混合供电系统具有明显的技术经济性,并且能够根据运行过程中遇到的故障及检修等情况,转换供电模式,供电模式灵活,可靠性高。在混合供电系统中,为了合理配置分布式电源、负荷以及储能,建立以投资成本、电网电量不足期望以及网损为目标函数的多目标优化模型。采用基于精英策略的非支配性排序遗传算法(nondominated sorting genetic algorithm Ⅱ,NSGA-Ⅱ)求解出混合集成供电系统中分布式电源、负荷和储能的优化配置方法。通过IEEE 33节点算例和某实际电网建设项目的测试表明所提出的模型和算法合理、可行。 This paper purposed hybrid integration and optimal allocation method for a power supply system with distributed generations (DG), such as wind, photovoltaic. Compare with DG directly connection and microgrid (MG) centralized power supply schemes, the proposed hybrid power supply system have obvious merits on finance investment. And it can flexibly change its power supply modes to meet the need of customers no matter facing normal or emergency situation. In order to allocate DG and MG in hybrid integrated power supply system, multi-objective optimization mathematical model based on investment cost, expected energy not supplied and active power lossis established in this paper. Further the model is solved by the Non-dominated Sorting Genetic Algorithm (NSGA-II).Experiments with IEEE 33-bus test system and actual gird construction cases are verified that the proposed model and algorithm are reasonable and feasible.
出处 《中国电机工程学报》 EI CSCD 北大核心 2015年第18期4655-4662,共8页 Proceedings of the CSEE
基金 国家自然科学基金项目(51177152) 国家电网公司研究项目(EPRIPDKJ[2014]3763号)~~
关键词 分布式电源 微电网 供电方案 分组优化 NSGA-II算法 distributed generation microgrid power supply scheme optimal allocation NSGA-II algorithm
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