On evaluation of onsite energy storage for various end-use facilities with utility bill management, arbitrage, and frequency regulation opportunities

Farhad Angizeh, Ali Ghofrani, Esmat Zaidan, Mohsen A. Jafari

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper proposes a comprehensive evaluating framework that enables facility operators to optimally size and dispatch their onsite energy storage systems (ESS) that might be operated as either standalone or integrated solar-plus-storage systems. The proposed model is developed on an energy procurement-based model with a mixed-integer linear programming (MILP) format, wherein the potential energy and demand charge savings though utility bill management (UBM) and revenue streams from energy arbitrage and frequency regulation (FR) opportunities are co-optimized. PJM's pay-for-performance regulation market is considered to remunerate the facility's dedicated capacities to the FR market. To investigate the impacts of facility behavior on the evaluation of various onsite ESSs, a set of 24 facilities from different end-use sectors with different functionalities are simulated. The practicality of the proposed evaluation model is then investigated through two case studies where the impacts of various optimally-operated onsite ESSs on maximizing the potential benefits are quantified.

Original languageEnglish (US)
Title of host publication2021 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728188973
DOIs
StatePublished - Feb 16 2021
Event2021 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2021 - Washington, United States
Duration: Feb 16 2021Feb 18 2021

Publication series

Name2021 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2021

Conference

Conference2021 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2021
CountryUnited States
CityWashington
Period2/16/212/18/21

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Hardware and Architecture
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering
  • Control and Optimization

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