Design of energy storage system to improve inertial response for large scale PV generation

Wang, Xiaoyu; Yue, Meng

doi:10.1109/PESGM.2016.7741690

Title: Design of energy storage system to improve inertial response for large scale PV generation

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Abstract

With high-penetration levels of renewable generating sources being integrated into the existing electric power grid, conventional generators are being replaced and grid inertial response is deteriorating. This technical challenge is more severe with photovoltaic (PV) generation than with wind generation because PV generation systems cannot provide inertial response unless special countermeasures are adopted. To enhance the inertial response, this paper proposes to use battery energy storage systems (BESS) as the remediation approach to accommodate the degrading inertial response when high penetrations of PV generation are integrated into the existing power grid. A sample power system was adopted and simulated using PSS/E software. Here, impacts of different penetration levels of PV generation on the system inertial response were investigated and then BESS was incorporated to improve the frequency dynamics.

Authors:

Wang, Xiaoyu ^[1]; Yue, Meng ^[1]

Brookhaven National Lab. (BNL), Upton, NY (United States)

Publication Date:: Fri Jul 01 00:00:00 EDT 2016

Research Org.:: Brookhaven National Lab. (BNL), Upton, NY (United States)

Sponsoring Org.:: USDOE Office of Science (SC), Basic Energy Sciences (BES)

OSTI Identifier:: 1245378

Report Number(s):: BNL-111870-2016-JA
Journal ID: ISSN 1944-9933; YN0100000

Grant/Contract Number:: SC00112704

Resource Type:: Accepted Manuscript

Journal Name:: IEEE Power & Energy Society General Meeting (Online)

Additional Journal Information:: Journal Name: IEEE Power & Energy Society General Meeting (Online); Journal Volume: 2016; Conference: Power & Energy Society General Meeting (PESGM), Boston, MA (United States), 17-21 Jul 2016; Journal ID: ISSN 1944-9933

Publisher:: IEEE

Country of Publication:: United States

Language:: English

Subject:: 25 ENERGY STORAGE; battery energy storage system; frequency stability; inertial response; PV generation

Citation Formats


                    Wang, Xiaoyu, and Yue, Meng. Design of energy storage system to improve inertial response for large scale PV generation.  United States: N. p., 2016. 
Web.  doi:10.1109/PESGM.2016.7741690.

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                    Wang, Xiaoyu, & Yue, Meng. Design of energy storage system to improve inertial response for large scale PV generation.  United States.  https://doi.org/10.1109/PESGM.2016.7741690

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                    Wang, Xiaoyu, and Yue, Meng. Fri .  
"Design of energy storage system to improve inertial response for large scale PV generation".  United States.  https://doi.org/10.1109/PESGM.2016.7741690.  https://www.osti.gov/servlets/purl/1245378.

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@article{osti_1245378,

  title        = {Design of energy storage system to improve inertial response for large scale PV generation},

  author       = {Wang, Xiaoyu and Yue, Meng},

  abstractNote = {With high-penetration levels of renewable generating sources being integrated into the existing electric power grid, conventional generators are being replaced and grid inertial response is deteriorating. This technical challenge is more severe with photovoltaic (PV) generation than with wind generation because PV generation systems cannot provide inertial response unless special countermeasures are adopted. To enhance the inertial response, this paper proposes to use battery energy storage systems (BESS) as the remediation approach to accommodate the degrading inertial response when high penetrations of PV generation are integrated into the existing power grid. A sample power system was adopted and simulated using PSS/E software. Here, impacts of different penetration levels of PV generation on the system inertial response were investigated and then BESS was incorporated to improve the frequency dynamics.},

  doi          = {10.1109/PESGM.2016.7741690},

  journal      = {IEEE Power & Energy Society General Meeting (Online)},

  number       = ,

  volume       = 2016,

  place        = {United States},

  year         = {Fri Jul 01 00:00:00 EDT 2016},

  month        = {Fri Jul 01 00:00:00 EDT 2016}

}

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