Coordinated Optimization of Multiservice Dispatch for Energy Storage Systems with Degradation Model for Utility Applications

Baggu, Murali Mohan; Nagarajan, Adarsh; Cutler, Dylan; Olis, Dan; Bialek, Thomas Owen; Symko-Davies, Martha

doi:10.1109/TSTE.2018.2853673

Title: Coordinated Optimization of Multiservice Dispatch for Energy Storage Systems with Degradation Model for Utility Applications

Abstract

The rapid development of energy storage technologies is motivating researchers to understand the possible value of energy storage. This paper evaluates the multiservice dispatch of distribution-sited energy storage systems with realistic degradation models by integrating a multiservice optimization model with a distribution system simulator. This work attempts to define the theoretical value energy storage can bring when multiple value streams are considered in the modeling environment. Use cases presented in this paper deliver multiple services to both distribution and transmission stakeholders that can provide positive net value to the electricity system under prevailing energy storage cost structures. Furthermore, this work was performed in collaboration with a distribution utility to help utility personnel understand the value distributed energy storage can provide by examining different utility use cases without considering implementation costs.

Authors:

Baggu, Murali Mohan ^[1]; Nagarajan, Adarsh ^[1]; Cutler, Dylan ^[1]; Olis, Dan ^[1]; Bialek, Thomas Owen ^[2]; Symko-Davies, Martha ^[1]

National Renewable Energy Lab. (NREL), Golden, CO (United States)
San Diego Gas & Electric Co., San Diego (CA (United States)

Publication Date:: Fri Jul 20 00:00:00 EDT 2018

Research Org.:: National Renewable Energy Lab. (NREL), Golden, CO (United States)

Sponsoring Org.:: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Solar Energy Technologies Office (EE-4S), SunShot Initiative; San Diego Gas and Electric (SDG&E)

OSTI Identifier:: 1464917

Report Number(s):: NREL/JA-5D00-69019
Journal ID: ISSN 1949-3029

Grant/Contract Number:: AC36-08GO28308

Resource Type:: Accepted Manuscript

Journal Name:: IEEE Transactions on Sustainable Energy

Additional Journal Information:: Journal Volume: 10; Journal Issue: 2; Journal ID: ISSN 1949-3029

Publisher:: IEEE

Country of Publication:: United States

Language:: English

Subject:: 24 POWER TRANSMISSION AND DISTRIBUTION; 25 ENERGY STORAGE; coordinated optimization; markets; economic analysis; energy storage system; clean energy systems; REopt

Citation Formats


                    Baggu, Murali Mohan, Nagarajan, Adarsh, Cutler, Dylan, Olis, Dan, Bialek, Thomas Owen, and Symko-Davies, Martha. Coordinated Optimization of Multiservice Dispatch for Energy Storage Systems with Degradation Model for Utility Applications.  United States: N. p., 2018. 
Web.  doi:10.1109/TSTE.2018.2853673.

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                    Baggu, Murali Mohan, Nagarajan, Adarsh, Cutler, Dylan, Olis, Dan, Bialek, Thomas Owen, & Symko-Davies, Martha. Coordinated Optimization of Multiservice Dispatch for Energy Storage Systems with Degradation Model for Utility Applications.  United States.  https://doi.org/10.1109/TSTE.2018.2853673

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                    Baggu, Murali Mohan, Nagarajan, Adarsh, Cutler, Dylan, Olis, Dan, Bialek, Thomas Owen, and Symko-Davies, Martha. Fri .  
"Coordinated Optimization of Multiservice Dispatch for Energy Storage Systems with Degradation Model for Utility Applications".  United States.  https://doi.org/10.1109/TSTE.2018.2853673.  https://www.osti.gov/servlets/purl/1464917.

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@article{osti_1464917,

  title        = {Coordinated Optimization of Multiservice Dispatch for Energy Storage Systems with Degradation Model for Utility Applications},

  author       = {Baggu, Murali Mohan and Nagarajan, Adarsh and Cutler, Dylan and Olis, Dan and Bialek, Thomas Owen and Symko-Davies, Martha},

  abstractNote = {The rapid development of energy storage technologies is motivating researchers to understand the possible value of energy storage. This paper evaluates the multiservice dispatch of distribution-sited energy storage systems with realistic degradation models by integrating a multiservice optimization model with a distribution system simulator. This work attempts to define the theoretical value energy storage can bring when multiple value streams are considered in the modeling environment. Use cases presented in this paper deliver multiple services to both distribution and transmission stakeholders that can provide positive net value to the electricity system under prevailing energy storage cost structures. Furthermore, this work was performed in collaboration with a distribution utility to help utility personnel understand the value distributed energy storage can provide by examining different utility use cases without considering implementation costs.},

  doi          = {10.1109/TSTE.2018.2853673},

  journal      = {IEEE Transactions on Sustainable Energy},

  number       = 2,

  volume       = 10,

  place        = {United States},

  year         = {Fri Jul 20 00:00:00 EDT 2018},

  month        = {Fri Jul 20 00:00:00 EDT 2018}

}

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Cited by: 11 works

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Figure 1: Services provided by battery energy storage at all levels of power system: generation, transmission and distribution.

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