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Economic Analysis of using Distributed Energy Storage for Frequency Regulation

Published: 18 June 2020 Publication History

Abstract

The need for a high ramping energy resource for frequency regulation is increasing due to the high penetration of intermittent and variable renewable energy sources, such as wind and solar, in the electricity grid. Traditionally, special generators have been used for frequency regulation. These generators can provide high capacity but have a very slow response time. Battery energy storage (BES) has gotten tremendous attention due to the advancement in technology. BES has a very fast response time, which makes it suitable for frequency regulation. In this paper, we perform an economic analysis of a distributed energy storage participating in the PJM and NYISO regulation markets. The distributed storage consists of many small consumers' installed batteries. A centralized entity at a microgrid level controls the distributed storage using our proposed algorithms. The economic analysis is performed from the perspective of individual storage owners. Our results show that the five-year net-present-value (NPV) of the consumers' investment is positive if the utility shares 30% (or above) of the regulation revenue with the storage owners and keeps the rest of the 70%.

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Cited By

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  • (2020)Towards Developing a Large Distributed Energy Storage Using a Weighted Batteries Scheduling SchemeIEEE Access10.1109/ACCESS.2020.30399248(210733-210749)Online publication date: 2020

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      cover image ACM Other conferences
      e-Energy '20: Proceedings of the Eleventh ACM International Conference on Future Energy Systems
      June 2020
      601 pages
      ISBN:9781450380096
      DOI:10.1145/3396851
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      Publication History

      Published: 18 June 2020

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      Author Tags

      1. Energy storage
      2. electricity market
      3. frequency regulation

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      e-Energy '20 Paper Acceptance Rate 77 of 173 submissions, 45%;
      Overall Acceptance Rate 160 of 446 submissions, 36%

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      • (2020)Towards Developing a Large Distributed Energy Storage Using a Weighted Batteries Scheduling SchemeIEEE Access10.1109/ACCESS.2020.30399248(210733-210749)Online publication date: 2020

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