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含光、储、电动汽车居民小区电力负荷综合管理系统
引用本文:董涛,雍静,赵瑾,董家斌,陈山.含光、储、电动汽车居民小区电力负荷综合管理系统[J].重庆大学学报(自然科学版),2021,44(8):45-58.
作者姓名:董涛  雍静  赵瑾  董家斌  陈山
作者单位:云南电网有限责任公司电力科学研究院,昆明650217;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 400044;云南机电职业技术学院,昆明 650000;云南电网有限责任公司楚雄大姚供电局,云南 楚雄 675400
基金项目:国家自然科学基金资助项目(51777021);云南电网有限责任公司科技项目(0006200000062053)。
摘    要:电动汽车、小型光伏发电装置在居民配电系统获得日益广泛的应用,改变了居民负荷需求特征,给现有系统带来一系列问题.为提高居民小区光伏利用率,引导电动汽车有序充电,针对含光、储及电动汽车的居民小区,研究光伏出力及电动汽车充电行为的不确定性及特征,利用集中设置的储能装置,在不改变既有配电系统一次拓扑结构的前提下,构造居民小区电力负荷综合能源管理系统,并提出直接和间接负荷控制相结合的综合能源管理控制和调度策略.该系统及其控制策略利用分时电价机制间接调节电动汽车充电行为,避免夜间充电高峰;利用合理设置的集中储能装置,通过直接控制,转移多余光伏出力,充分消纳光伏出力,同时达到最大化用户收益和解决变压器白天光伏反向送电过载问题的目的.以实际居民小区实测数据为基础,对不同场景的仿真分析验证了方法的可行性和有效性.

关 键 词:电动汽车  储能  充电  光伏  居民负荷
收稿时间:2020/7/1 0:00:00

Load management approach for residential power system incorporating photovoltaics, electric storage and electric-vehicle charging
DONG Tao,YONG Jing,ZHAO Jin,DONG Jiabin,CHEN Shan.Load management approach for residential power system incorporating photovoltaics, electric storage and electric-vehicle charging[J].Journal of Chongqing University(Natural Science Edition),2021,44(8):45-58.
Authors:DONG Tao  YONG Jing  ZHAO Jin  DONG Jiabin  CHEN Shan
Institution:Power Research Institute, Yunnan Power Grid Co., Ltd., Kunming 650217, P. R. China;State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Chongqing 400044, P. R. China;Yunnan Vocational College of Mechanical and Electrical Technology, Kunming 650000, P. R. China; Chuxiong Power Company, Yunnan Power Grid Co., Ltd., Chuxiong, Yunnan 675400, P. R. China
Abstract:Electric vehicles (EV) and small-scale photovoltaics (PV) have been extensively applied to the residential power systems, which is largely changing the characteristics of the residential loads and bringing some issues to the existing systems. To increase the efficiency of using PV and manage the EV charging orderly, a load management approach for the residential power system incorporating EV, PV and electric storage (ES) was proposed, in which the uncertainty of PV output and EV charging behavior were taken into consideration, and a minimal capacity of centralized ES was used to adjust the power supply and consumption so that the interests of both the consumer and the power utility could be achieved with a low cost. A simulation of different scenarios in a practical case demonstrated the validity of the proposed approach.
Keywords:electric vehicle  electric storage  charging  photovoltaic  residential loads
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