基于改进型运行策略的独立微电网容量优化配置
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摘要
建立独立微电网对于解决离岸岛屿等传统供电不便地区的可靠自主供用电问题具有非常显著的实用性。针对风/光/蓄/柴独立微电网,提出了一种考虑系统净负荷大小的改进型运行控制策略,通过权重法将系统经济性和环保性指标整合并加入可靠性经济惩罚共同作为优化目标,考虑多种约束条件,建立基于改进型运行策略的风/光/蓄/柴独立微电网容量优化配置模型,并采用混合量子遗传算法(HQGA)对我国沿海某岛地区独立微网实施优化配置。结果表明,与采用常规运行策略的配置结果相比,所提运行策略具有正确性和优越性。
The construction of stand-alone microgrid has very significant utility in solving the problems of reliable and autonomous supply of electricity in the areas such as offshore islands where are inconvenient for power supply.This paper proposes an improved operation strategy based on the size of the net load for stand-alone wind/solar/battery/diesel generator microgrid.The weighted method is used to integrate economic and environmental indicators,and adds reliability economic penalties into optimization objective.Considering multiple constraints,an optimized configuration model for wind/solar/battery/diesel generator microgrid is established.According to the established model,the hybrid quantum genetic algorithm(HQGA)is used to optimize the configuration of a stand-alone microgrid in an island of China.The correctness and superiority of the proposed operation strategy are verified by comparing the configuration result with that of the normal operation strategy.
The construction of stand-alone microgrid has very significant utility in solving the problems of reliable and autonomous supply of electricity in the areas such as offshore islands where are inconvenient for power supply.This paper proposes an improved operation strategy based on the size of the net load for stand-alone wind/solar/battery/diesel generator microgrid.The weighted method is used to integrate economic and environmental indicators,and adds reliability economic penalties into optimization objective.Considering multiple constraints,an optimized configuration model for wind/solar/battery/diesel generator microgrid is established.According to the established model,the hybrid quantum genetic algorithm(HQGA)is used to optimize the configuration of a stand-alone microgrid in an island of China.The correctness and superiority of the proposed operation strategy are verified by comparing the configuration result with that of the normal operation strategy.
引文
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[2]马溪原,吴耀文,方华亮,等.采用改进细菌觅食算法的风/光/储混合微电网电源优化配置[J].中国电机工程学报,2011,31(25):17-25.
[3]程苒,常湧,黄华,等.基于多目标的独立微电网电源容量优化设计[J].水电能源科学,2017,35(10):198-202.
[4]张有兵,任帅杰,杨晓东,等.考虑价格型需求响应的独立型微电网优化配置[J].电力自动化设备,2017,37(7):55-62.
[5]郭力,富晓鹏,李霞林,等.独立交流微网中电池储能与柴油发电机的协调控制[J].中国电机工程学报,2012,32(25):70-78.
[6]Dufo-López R,Bernal-Agustin J L.Multi-objective Design of PV-Wind-Diesel-Hydrogen-Battery Systems[J].Renewable energy,2008,33(12):2 559-2 572.
[7]刘梦璇,郭力,王成山,等.风光柴储孤立微电网系统协调运行控制策略设计[J].电力系统自动化,2012,36(15):19-24.
[8]符杨,蒋一鎏,李振坤.基于混合量子遗传算法的微电网电源优化配置[J].电力系统保护与控制,2013,41(24):51-57.