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机构地区:[1]重庆大学输配电装备及系统安全与新技术国家重点实验室,重庆400030
出 处:《高电压技术》2014年第11期3519-3527,共9页High Voltage Engineering
基 金:国家自然科学基金(50777066)~~
摘 要:针对孤立微网系统的能量管理问题,利用蓄电池和超级电容的互补特性,以经济性和环保性为优化目标,提出了一种采用混合储能系统的微网多目标能量管理方法。求解方法分为2步,首先,综合考虑当前和未来可再生能源发电期望和负荷需求、不同调度时段、储能装置的实时荷电状态等因素,采用模糊控制对混合储能系统进行管理。其次,在计及多种约束条件下,利用改进的粒子群优化算法对微电源出力进行经济环保优化调度,得到微网系统的最终运行方式。该方法不仅能实现孤立微网经济、环保、可靠运行,还可延长蓄电池使用寿命,提高储能系统经济性,通过多组实验对比,验证了模型的有效性和可行性。In order to improve the optimal energy management of isolated microgrid, we proposed a multi-objective energy management model of microgrid with a hybrid energy storage system making use of complementary characteristics of battery and super-capacitor, which aims to improve the economical efficiency and environmental friendliness of the microgrid. Firstly, we used a fuzzy control to manage the hybrid energy storage system by taking the load forecast, scheduling period, real-time charging state of renewable energy storage devices into consideration. Secondly, taking multiple constraint conditions into account, we used an improved multi-objective particle swarm optimization algorithm to optimize the distributed generation output, and obtained final operation mode of the microgrid. Moreover, the proposed model is validated by comparisons of a variety of experiments. It is concluded that the proposed method can not only improve the reliability and economical efficiency of isolated microgrid operation, but also extend battery life and improve economical efficiency of the energy storage system.
关 键 词:微网 能量管理 混合储能系统 粒子群优化算法 模糊控制 多目标优化
分 类 号:TM73[电气工程—电力系统及自动化]
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