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作 者:李昕如 沈瑾[1] 陈卓航 Li Xinru;Shen Jin;Chen Zhuohang(School of Business,Shanghai Dianji University,Shanghai 201306,China;Zhuhai Power Supply Bureau of Guangdong Power Grid Co.,Ltd.,Zhuhai 519075,China)
机构地区:[1]上海电机学院商学院,上海201306 [2]广东电网有限责任公司珠海供电局,珠海519075
出 处:《太阳能学报》2024年第5期217-224,共8页Acta Energiae Solaris Sinica
摘 要:为提高居民区微网削峰填谷的效果,并降低储能系统成本,该文选择梯次电池作为储能系统,突破现有优化模型,考虑用户侧、储能侧多主体同时参与调峰,提出考虑用户分摊调峰辅助服务费用的微网梯次电池储能优化配置方法。首先,引入相关电源出力、负荷计算、储能充放电数学模型;其次,以配置梯次电池储能系统成本最低、用户分摊调峰辅助服务费用最低为目标函数,并采用粒子群算法进行模型求解;最后,以某居民区微网为算例,对比分析该方法的经济性与有效性,并对梯次电池储能配置的成本进行敏感性分析,得到不同参数变化对梯次储能电池总成本的影响程度。To enhance the peak-shaving and valley-filling effectiveness in residential microgrids and reduce the cost of energy storage system,this paper adopts secondary batteries as the chosen energy storage solution.The paper innovates beyond existing optimization models by involving multiple entities on both the user and energy storage sides concurrently in peak-shaving.A microgrid secondary batteries energy storage optimal configuration model is proposed,considering user-shared peak-shaving auxiliary service cost.Initially,the paper introduces relevant mathematical models for power generation,load calculation,and energy storage charge and discharge.Subsequently,the paper formulates objective functions,aiming to minimize both the cost of configuring the secondary batteries energy storage system and the user-shared peak-shaving auxiliary service cost.The particle swarm optimization algorithm is adopted for the model solution.Finally,a case study is conducted on a residential microgrid to compare the economic and effective performance of the proposed method.Additionally,sensitivity analysis of the cost of secondary batteries energy storage configuration is performed to examine the impact of parameter variations on the total cost of energy storage batteries.
关 键 词:微网 梯次电池 电池储能 优化配置 调峰辅助服务
分 类 号:TM727.2[电气工程—电力系统及自动化]
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