中国电机工程学报
中國電機工程學報
중국전궤공정학보
Proceedings of the CSEE
2015年
18期
4655-4662
,共8页
盛万兴%叶学顺%刘科研%孟晓丽
盛萬興%葉學順%劉科研%孟曉麗
성만흥%협학순%류과연%맹효려
分布式电源%微电网%供电方案%分组优化%NSGA-II算法
分佈式電源%微電網%供電方案%分組優化%NSGA-II算法
분포식전원%미전망%공전방안%분조우화%NSGA-II산법
distributed generation%microgrid%power supply scheme%optimal allocation%NSGA-II algorithm
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。
提齣含風力、光伏等分佈式電源和微電網之間的混閤集成供電繫統及其優化配置方法。與分佈式電源直接併網以及微電網集中供電方案相比,該混閤供電繫統具有明顯的技術經濟性,併且能夠根據運行過程中遇到的故障及檢脩等情況,轉換供電模式,供電模式靈活,可靠性高。在混閤供電繫統中,為瞭閤理配置分佈式電源、負荷以及儲能,建立以投資成本、電網電量不足期望以及網損為目標函數的多目標優化模型。採用基于精英策略的非支配性排序遺傳算法(nondominated sorting genetic algorithm II,NSGA-II)求解齣混閤集成供電繫統中分佈式電源、負荷和儲能的優化配置方法。通過IEEE 33節點算例和某實際電網建設項目的測試錶明所提齣的模型和算法閤理、可行。
제출함풍력、광복등분포식전원화미전망지간적혼합집성공전계통급기우화배치방법。여분포식전원직접병망이급미전망집중공전방안상비,해혼합공전계통구유명현적기술경제성,병차능구근거운행과정중우도적고장급검수등정황,전환공전모식,공전모식령활,가고성고。재혼합공전계통중,위료합리배치분포식전원、부하이급저능,건립이투자성본、전망전량불족기망이급망손위목표함수적다목표우화모형。채용기우정영책략적비지배성배서유전산법(nondominated sorting genetic algorithm II,NSGA-II)구해출혼합집성공전계통중분포식전원、부하화저능적우화배치방법。통과IEEE 33절점산례화모실제전망건설항목적측시표명소제출적모형화산법합리、가행。
ABSTRACT: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.