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考虑电池储能寿命损耗的风光储微网随机日前调度策略 被引量:8

Stochastic Day-ahead Scheduling Optimization for Wind-PV-ES Microgrid Considering Battery Life Loss
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摘要 随着我国“碳达峰”和“碳中和”目标的提出,以新能源为主的电力系统已经受到了广泛的关注,风光储微网就是其中的典型场景。研究电池储能的寿命损耗特性,建立精细的分段线性化电池储能寿命损耗模型。将建立的电池储能寿命损耗模型加入到风光储微网场景中,考虑储能技术在提高风光资源消纳率以及减少碳排放量方面的作用,以最小化微网和上级电网交互费用、弃风弃光成本、削负荷成本、碳排放成本以及电池储能寿命损耗成本为目标函数,对整个风光储微网的随机日前调度模型进行线性化求解。对风光储微网的调度模型算例分析表明,所提模型可以通过规范电池储能的充放电动作,有效提高电池的使用寿命以及提高风光储微网的经济性。 With the‘carbon peak’and‘carbon neutrality’goals proposed,the power system based on renewable resources has received extensive attention,and the wind-PV-ES(Energy storage)microgrid is the typical scenario.The piecewise linear life loss model is established by studying the life loss characteristics of batteries.Combined with the role of energy storage technology in improving the wind and solar power consumption and reducing carbon emissions,the economic effect of battery on the microgrid is added to the wind-PV-ES microgrid scenarios.Regarding the interaction cost of the grid,wind and solar abandonment cost,shaving load cost,carbon emissions cost,and battery life loss cost as the objective function,the day-ahead scheduling model of entire wind-PV-ES microgrid is linearized.The case is used to analyze that the introduction of batteries can effectively increase the battery life and improve the economy of the microgrid by regulating the charging and discharging actions of batteries.
作者 赵诣 方陈 冯冬涵 李恒杰 时珊珊 周云 ZHAO Yi;FANG Chen;FENG Donghan;LI Hengjie;SHI Shanshan;ZHOU Yun(Key Laboratory of Control of Power Transmission and Conversion,Ministry of Education,Shanghai Jiao Tong University,Shanghai 200240;East China Electric Power Test and Research Institute Co.,Ltd.,Shanghai 200437;School of Electrical Engineering and Information Engineering,Lanzhou University of Technology,Lanzhou 730050)
出处 《电气工程学报》 CSCD 2022年第3期210-218,共9页 Journal of Electrical Engineering
基金 国家自然科学基金(51907122,52077139) 上海市科委计划(21DZ2204800) 国家电网有限公司科技(52094021000F)资助项目。
关键词 风光储微网 风光消纳 电池储能寿命损耗 随机调度 线性化 Wind-PV-ES microgrid wind-PV accommodation battery life loss stochastic scheduling linearization
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