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文章摘要
基于场景法和寿命损耗的储能优化配置
Optimal Energy Storage Allocation Based on Scene Method and Life Loss
Received:April 30, 2019  Revised:April 30, 2019
DOI:10.19753/j.issn1001-1390.2020.17.007
中文关键词: 风电消纳  场景生成及削减  互斥技术  储能寿命  储能优化配置
英文关键词: wind  power absorption, scenario  generation and  reduction, mutually  exclusive technology, energy  storage life, optimal  allocation of  energy storage
基金项目:贵州省科技创新人才团队项目(黔科合平台人才[2018]5615)
Author NameAffiliationE-mail
Wang Dengke* College of electrical engineering, Guizhou University 183793375@qq.com 
Liu Min College of electrical engineering, Guizhou University minliu666@163.com 
Liu Weifeng College of Electrical Engineering,Guizhou University 871854193@qq.com 
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中文摘要:
      风电出力的时间特性是制约风电消纳的重要因素之一。文中以提高风电利用率为主要目的,利用电池储能消纳系统弃风,并分析储能在运行过程中的带来的诸多效益,如风电并网效益,环保效益等。依据风速时序特性生成大量场景并结合基于KD距离的场景削减技术,综合考虑各效益项及储能成本,获得具有普适性的综合收益,并以此为目标构建模型,优化储能的容量配置。文中提出互斥技术优化储能的运行策略,通过引入0-1辅助变量,计及运行过程中储能的充放电功率和越限功率的相互关联特性,将表征储能运行策略的分段函数线性化,从而显著的缩小系统的计算时间。并通过算例验证所提方法的有效性。
英文摘要:
      Absract: The time characteristic of wind power output is one of the important factors that restrict the absorption of wind power. In this paper, the main purpose is to improve the utilization rate of wind power. Battery energy storage system is used to absorb the wind abandonment, and many benefits of energy storage in the operation process are analyzed, such as wind power Grid-connected benefits, environmental protection benefits and so on. According to the time series characteristics of wind speed, a large number of scenarios are generated and the scenario reduction technology based on KD distance is used to synthetically consider the benefit items and energy storage costs, so as to obtain comprehensive benefits with universality. Based on this goal, a model is constructed to optimize the capacity allocation of energy storage.In this paper, a mutually exclusive technology is proposed to optimize the operation strategy of energy storage. By introducing 0-1 auxiliary variables, considering the interrelated characteristics of charging and discharging power and over-limit power of energy storage during operation, the piecewise function representing the operation strategy of energy storage is linearized, thus significantly reducing the calculation time of the system. The effectiveness of the proposed method is verified by an example.
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