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作 者:郭永强 张靖[1] 何宇[1] 刘影 邓坤 龙本锦 GUO Yongqiang;ZHANG Jing;HE Yu;LIU Ying;DENG Kun;LONG Benjin(School of Electrical Engineering,Guizhou University,Guiyang 550025,Guizhou,China;Grid Planning and Research Center of Guizhou Power Grid Co.,Ltd.,Guiyang 550001,Guizhou,China)
机构地区:[1]贵州大学电气工程学院,贵州贵阳550025 [2]贵州电网有限责任公司电网规划研究中心,贵州贵阳550001
出 处:《电网与清洁能源》2022年第8期82-93,共12页Power System and Clean Energy
基 金:国家自然科学基金项目(51867005)。
摘 要:由于微电网内部新能源出力以及负荷的波动性,导致微电网内部新能源的弃风弃光以及负荷高峰时段失负荷问题严重。提出了一种考虑电动汽车充放电响应的混合储能配置方法。充分利用电动汽车的灵活充放电特性,以分时电价为背景最大程度减少微电网内的失负荷惩罚成本,并促进弃风弃光功率的消纳;利用混合储能系统对电动汽车响应后微电网内的弃风弃光功率进行吸收并在负荷高峰时段放电,以减少失负荷功率,以净现值作为混合储能配置的目标函数。利用粒子群算法求解净现值最大情况下的混合储能配置方案。仿真结果表明,该配置方案具有更好的经济性。Due to fluctuations of new energy output and load in the microgrid, serious wind and solar energy abandonment and load loss often occur during peak load hours.To this end, this paper proposes a hybrid energy storage configuration method considering the charge-discharge response of EVs. Firstly,taking full advantage of the flexible charging and discharging characteristics of EVS, the time-of-use electricity price is used to minimize the penalty cost of loss load in the micro-grid,and to promote consumption of the wind-andsolar energy which would be otherwise abandoned. Secondly,the hybrid energy storage system is used to absorb the abandoned wind-and-solar energy in the micro-grid and discharge it at peak load to reduce the power loss,and the net present value is taken as the objective function of the hybrid energy storage configuration. Finally, the particle swarm optimization(PSO)algorithm is used to solve the hybrid energy storage allocation scheme under the maximum NPV. The simulation results have verified the effectiveness of the proposed hybrid energy storage configuration method,and the proposed configuration scheme has better economy.
关 键 词:微电网 混合储能配置 电动汽车 有序充放电 联络线功率 新能源消纳
分 类 号:TM732[电气工程—电力系统及自动化]
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