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A Method for Operating Large-Scale Energy Storage Systems for Arbitrage Under Variable Pricing Structures.

机译:一种在可变定价结构下用于套利的大型储能系统的运行方法。

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摘要

Energy storage has been one of the central focuses of research in regards to updating the electric grid and making renewable energy generation possible. There are many applications of energy storage within new pricing structures (such as real-time pricing) where the use of smart meters makes the current price of electricity available to the consumer. To take advantage of this information, energy storage systems (ESS) have been proposed for the application of energy arbitrage; buying electricity at a low price and selling it at a high price. In order to do this, a charge/discharge scheduling technique must be used to obtain the most benefit from the ESS. This thesis proposes to use the optimal daily threshold method for charge/discharge scheduling. The method is tested with three energy storage technologies; namely, Vanadium redox-flow batteries (VRB), sodium sulfur batteries (NaS), and lithium-ion batteries (Li-Ion). The economic viability of these technologies in an arbitrage application is assessed using simulation results and performing an economic analysis making use of electricity prices from ISO New England from 2006 to 2010. Recommendations are made for the technology with the most potential for a successful implementation for arbitrage as well as for government incentives in order to increase the profit available from this ESS application to accelerate adoption of large-scale energy storage that can improve both quality and reliability of the electric grid but also reduce capital costs.
机译:储能一直是更新电网和使可再生能源发电成为可能的研究重点之一。在新的定价结构(例如实时定价)中,有许多能量存储应用,其中智能电表的使用使用户可以使用当前的电价。为了利用这些信息,已经提出了用于能量套利的能量存储系统(ESS)。以低价购买电力并以高价出售。为此,必须使用充电/放电调度技术来从ESS中获得最大收益。本文提出将最优的每日阈值方法用于充放电调度。该方法通过三种储能技术进行了测试;分别是钒氧化还原液流电池(VRB),钠硫电池(NaS)和锂离子电池(Li-Ion)。使用模拟结果评估这些技术在套利应用中的经济可行性,并利用ISO新英格兰2006年至2010年的电价进行经济分析。针对最有可能成功实施套利的技术提出建议以及政府激励措施,以增加从该ESS应用程序中获得的利润,以加速采用大规模储能,这不仅可以改善电网的质量和可靠性,还可以降低资本成本。

著录项

  • 作者

    Geurin, Scott Osborn.;

  • 作者单位

    University of Arkansas.;

  • 授予单位 University of Arkansas.;
  • 学科 Economics General.;Engineering Electronics and Electrical.
  • 学位 M.S.
  • 年度 2011
  • 页码 100 p.
  • 总页数 100
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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