Battery storage services that minimize wind farm operating costs: A case study

S. Balischewski, I. Hauer, M. Wolter, C. Wenge, P. Lombardi, P. Komarnicki
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引用次数: 6

Abstract

Wind power plants have become a mainstay of German renewable energy production and accounted for 12.3% of gross electricity production in 2015 [1]. Nonetheless, wind turbines do not produce power continuously and require active and reactive power depending on their operating point. Annual energy consumption incurs significant operating costs, which can only be reduced by making technical changes to the existing infrastructure or by modernizing the installed wind turbines. Unlike conventional static power factor compensation systems, battery storage systems (BSS) additionally provide active power and thus double benefits. This paper first describes selected technical constraints of wind farms and defines battery storage system use cases to reduce their operating costs. Furthermore a design algorithm for storage parameters is proposed and the technical configuration is optimized to maximize cost reduction. Experiences and operation data of an 1 MW BSS under test has been factored into use case simulations and results are valued in a cost-benefit-analysis.
最小化风电场运营成本的电池存储服务:一个案例研究
风力发电厂已成为德国可再生能源生产的支柱,2015年占总发电量的12.3%。然而,风力涡轮机不是连续发电,根据其工作点需要有功和无功功率。每年的能源消耗产生了巨大的运营成本,这只能通过对现有基础设施进行技术改造或对已安装的风力涡轮机进行现代化改造来降低。与传统的静态功率因数补偿系统不同,电池存储系统(BSS)还提供有功功率,因此具有双重效益。本文首先描述了风力发电场的技术限制,并定义了电池储能系统的用例,以降低其运行成本。提出了一种存储参数的设计算法,并对技术配置进行了优化,以最大限度地降低成本。正在测试的1mw BSS的经验和运行数据已纳入用例模拟,结果在成本效益分析中很有价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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