微网中混储/柴协调运行策略研究

成思琪; 刘俊勇; 向月; 田昊; 朱鑫; 李卓艺; 许立雄; 朱国俊; 戴松灵

引用本文:	成思琪,刘俊勇,向月,等.微网中混储/柴协调运行策略研究[J].电力系统保护与控制,2015,43(7):42-50.
	CHENG Siqi,LIU Junyong,XIANG Yue,et al.Research on optimal coordinated operation for microgrid with hybrid energy storage and diesel generator[J].Power System Protection and Control,2015,43(7):42-50

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微网中混储/柴协调运行策略研究
成思琪¹, 刘俊勇¹, 向月¹, 田昊¹, 朱鑫¹, 李卓艺¹, 许立雄¹, 朱国俊², 戴松灵²
1.智能电网四川省重点实验室，四川大学电气信息学院，四川成都 610065;2.四川电力经济技术研究院，四川成都 610041

摘要:

提出一种基于混储/柴的专家协调控制系统和算法。目的是在研究混合储能和微网中可调度单元在相同容量下，与传统单一储能和其他调度单元策略对比，以最大化微电网整体运行经济性和延长储能寿命。模型对比传统含单一储能协调控制策略，拟定负荷波动指标，将微网调度分为上层决策和下层实时调度，求解微网可调度单元的合理组合运行方式。采用费用折算耦合微网运行成本、环境效益和储能寿命量化为单目标函数，结合分阶段优化算法和自适应遗传算法求解。通过对实际算例分析，验证了该方法能有效提高电池使用效率，延长寿命，同时提高微网整体运行的经济性。

关键词: 微网混合储能柴油机协调运行专家系统

DOI：10.7667/j.issn.1674-3415.2015.07.007

分类号:

基金项目:中欧中小企业节能减排科研合作资金项目(SQ 2011ZOF000004); 国家高技术研究发展计划(2014AA051901)

Research on optimal coordinated operation for microgrid with hybrid energy storage and diesel generator

CHENG Siqi¹, LIU Junyong¹, XIANG Yue¹, TIAN Hao¹, ZHU Xin¹, LI Zhuoyi¹, XU Lixiong¹, ZHU Guojun², DAI Songling²

1.Intelligent Electric Power Grid Key Laboratory, Department of Electrical Engineering and Information, Sichuan University, Chengdu 610065, China;2.Sichuan Electric Power Economics & Technology Research Institute, Chengdu 610041, China

Abstract:

A new coordinated operation expert system and algorithm of hybrid energy storage and dispatchable generation is proposed. The purpose is to maximize the operating economy and prolong the battery’s lifetime, compared with the conventional cooperation model of single energy storage and dispatchable unit. Considering the running characteristics of hybrid energy storage and diesel generator, the dispatching of microgrid can be divided into upper level decision and lower real-time scheduling, then the reasonable combination operation mode of dispatchable unit is calculated. Depending on the equivalent cost, the microgrid operation costs, environmental benefit and energy storage life of quantitative are converted to a single objective function. Then improved hierarchical heuristic method and employed adaptive genetic algorithm(AGA) are used to optimize the power resources. The example shows that the system can effectively improve the efficiency of battery, prolong battery’s life and enhance the microgrid operation economy.

Key words: microgrid hybrid energy storage diesel generator coordinated operation expert system

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