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Title: Reserve Model of Energy Storage in Day-ahead Joint Energy and Reserve Markets: A Stochastic UC Solution

Abstract

With many favorable advantages including fast response ability in particular, utility-level energy storage systems (ESS) are being integrated into energy and reserve markets to help mitigate uncertain renewable resources and fluctuant demands. This paper discusses a stochastic unit commitment (UC) model to explore capabilities of ESSs in providing valuable grid services by simultaneously joining energy and reserve markets. The proposed reserve model of ESSs presents the following features: (i) two constraints are proposed to formulate ESS’s reserve provision ability in each hour via six operation modes, namely increasing/reducing the level of charge, switching to discharge, increasing/reducing the level of discharge, switching to charge; (ii) as an energy-limited asset, constraints on ESS’s reserve deliverability across multiple hours is introduced to hold enough state of charge (SOC) headroom and floor room, guaranteeing that reserves cleared in individual hours are continuously deliverable over multiple successive hours without violating operation limits. Furthermore, a scenario-based UC model, which addresses uncertainties of renewables and demands, is adopted to evaluate reserves provided by ESSs and generators. To effectively solve the stochastic UC problem, the progressive hedging algorithm with heuristic approaches is discussed. A 6-bus system and a modified IEEE 118-bus system are used to illustrate effectiveness ofmore » the proposed approaches.« less

Authors:
 [1];  [2];  [2];  [3];  [3]
  1. Sichuan Univ. (China); Stevens Institute of Technology, Hoboken, NJ (United States)
  2. Stevens Institute of Technology, Hoboken, NJ (United States)
  3. Sichuan Univ. (China)
Publication Date:
Research Org.:
Missouri Univ. of Science & Technology, Rolla, MO (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Water Power Technologies Office
Contributing Org.:
Stevens Institute of Technology Sichuan University
OSTI Identifier:
1712747
Grant/Contract Number:  
EE0008781
Resource Type:
Journal Article: Accepted Manuscript
Journal Name:
IEEE Transactions on Smart Grid
Additional Journal Information:
Journal Name: IEEE Transactions on Smart Grid; Journal ID: ISSN 1949-3053
Publisher:
IEEE
Country of Publication:
United States
Language:
English
Subject:
25 ENERGY STORAGE; 42 ENGINEERING; Energy storage; reserve; stochastic unit commitment

Citation Formats

Tang, Zao, Liu, Yikui, Wu, Lei, Liu, Junyong, and Gao, Hongjun. Reserve Model of Energy Storage in Day-ahead Joint Energy and Reserve Markets: A Stochastic UC Solution. United States: N. p., 2020. Web. doi:10.1109/tsg.2020.3009114.
Tang, Zao, Liu, Yikui, Wu, Lei, Liu, Junyong, & Gao, Hongjun. Reserve Model of Energy Storage in Day-ahead Joint Energy and Reserve Markets: A Stochastic UC Solution. United States. https://doi.org/10.1109/tsg.2020.3009114
Tang, Zao, Liu, Yikui, Wu, Lei, Liu, Junyong, and Gao, Hongjun. Wed . "Reserve Model of Energy Storage in Day-ahead Joint Energy and Reserve Markets: A Stochastic UC Solution". United States. https://doi.org/10.1109/tsg.2020.3009114.
@article{osti_1712747,
title = {Reserve Model of Energy Storage in Day-ahead Joint Energy and Reserve Markets: A Stochastic UC Solution},
author = {Tang, Zao and Liu, Yikui and Wu, Lei and Liu, Junyong and Gao, Hongjun},
abstractNote = {With many favorable advantages including fast response ability in particular, utility-level energy storage systems (ESS) are being integrated into energy and reserve markets to help mitigate uncertain renewable resources and fluctuant demands. This paper discusses a stochastic unit commitment (UC) model to explore capabilities of ESSs in providing valuable grid services by simultaneously joining energy and reserve markets. The proposed reserve model of ESSs presents the following features: (i) two constraints are proposed to formulate ESS’s reserve provision ability in each hour via six operation modes, namely increasing/reducing the level of charge, switching to discharge, increasing/reducing the level of discharge, switching to charge; (ii) as an energy-limited asset, constraints on ESS’s reserve deliverability across multiple hours is introduced to hold enough state of charge (SOC) headroom and floor room, guaranteeing that reserves cleared in individual hours are continuously deliverable over multiple successive hours without violating operation limits. Furthermore, a scenario-based UC model, which addresses uncertainties of renewables and demands, is adopted to evaluate reserves provided by ESSs and generators. To effectively solve the stochastic UC problem, the progressive hedging algorithm with heuristic approaches is discussed. A 6-bus system and a modified IEEE 118-bus system are used to illustrate effectiveness of the proposed approaches.},
doi = {10.1109/tsg.2020.3009114},
url = {https://www.osti.gov/biblio/1712747}, journal = {IEEE Transactions on Smart Grid},
issn = {1949-3053},
number = ,
volume = ,
place = {United States},
year = {2020},
month = {7}
}

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