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Title: Flexible operation of batteries in power system scheduling with renewable energy

Abstract

The fast growing expansion of renewable energy increases the complexities in balancing generation and demand in the power system. The energy-shifting and fast-ramping capability of energy storage has led to increasing interests in batteries to facilitate the integration of renewable resources. In this paper, we present a two-step framework to evaluate the potential value of energy storage in power systems with renewable generation. First, we formulate a stochastic unit commitment approach with wind power forecast uncertainty and energy storage. Second, the solution from the stochastic unit commitment is used to derive a flexible schedule for energy storage in economic dispatch where the look-ahead horizon is limited. Here, analysis is conducted on the IEEE 24-bus system to demonstrate the benefits of battery storage in systems with renewable resources and the effectiveness of the proposed battery operation strategy.

Authors:
 [1];  [2];  [2];  [3];  [1];  [2]
  1. Arizona State Univ., Tempe, AZ (United States)
  2. Argonne National Lab. (ANL), Lemont, IL (United States)
  3. Univ. of Chicago, Chicago, IL (United States)
Publication Date:
Research Org.:
Argonne National Lab. (ANL), Argonne, IL (United States)
Sponsoring Org.:
Argonne National Laboratory; USDOE
OSTI Identifier:
1365839
Grant/Contract Number:  
AC02-06CH11357
Resource Type:
Journal Article: Accepted Manuscript
Journal Name:
IEEE Transactions on Sustainable Energy
Additional Journal Information:
Journal Volume: 7; Journal Issue: 2; Journal ID: ISSN 1949-3029
Publisher:
IEEE
Country of Publication:
United States
Language:
English
Subject:
25 ENERGY STORAGE; 32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION; battery; energy storage; power system; economic dispatch; flexible resources; integer programming; power system economics; power system reliability; real-time operation; renewable resources; stochastic unit commitment

Citation Formats

Li, Nan, Uckun, Canan, Constantinescu, Emil M., Birge, John R., Hedman, Kory W., and Botterud, Audun. Flexible operation of batteries in power system scheduling with renewable energy. United States: N. p., 2015. Web. doi:10.1109/TSTE.2015.2497470.
Li, Nan, Uckun, Canan, Constantinescu, Emil M., Birge, John R., Hedman, Kory W., & Botterud, Audun. Flexible operation of batteries in power system scheduling with renewable energy. United States. https://doi.org/10.1109/TSTE.2015.2497470
Li, Nan, Uckun, Canan, Constantinescu, Emil M., Birge, John R., Hedman, Kory W., and Botterud, Audun. 2015. "Flexible operation of batteries in power system scheduling with renewable energy". United States. https://doi.org/10.1109/TSTE.2015.2497470. https://www.osti.gov/servlets/purl/1365839.
@article{osti_1365839,
title = {Flexible operation of batteries in power system scheduling with renewable energy},
author = {Li, Nan and Uckun, Canan and Constantinescu, Emil M. and Birge, John R. and Hedman, Kory W. and Botterud, Audun},
abstractNote = {The fast growing expansion of renewable energy increases the complexities in balancing generation and demand in the power system. The energy-shifting and fast-ramping capability of energy storage has led to increasing interests in batteries to facilitate the integration of renewable resources. In this paper, we present a two-step framework to evaluate the potential value of energy storage in power systems with renewable generation. First, we formulate a stochastic unit commitment approach with wind power forecast uncertainty and energy storage. Second, the solution from the stochastic unit commitment is used to derive a flexible schedule for energy storage in economic dispatch where the look-ahead horizon is limited. Here, analysis is conducted on the IEEE 24-bus system to demonstrate the benefits of battery storage in systems with renewable resources and the effectiveness of the proposed battery operation strategy.},
doi = {10.1109/TSTE.2015.2497470},
url = {https://www.osti.gov/biblio/1365839}, journal = {IEEE Transactions on Sustainable Energy},
issn = {1949-3029},
number = 2,
volume = 7,
place = {United States},
year = {Thu Dec 17 00:00:00 EST 2015},
month = {Thu Dec 17 00:00:00 EST 2015}
}

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