Energy Storage Sizing and Operation of an Integrated Utility-Scale PV+ESS Power Plant

Xia, Qianxue; Debnath, Suman; Saeedifard, Maryam; Marthi, Phani Ratna Vanamali; Arifujjaman, Md

doi:10.1109/ISGT45199.2020.9087636

Title: Energy Storage Sizing and Operation of an Integrated Utility-Scale PV+ESS Power Plant

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Abstract

Integration of an energy storage system (ESS) into a large-scale grid-connected photovoltaic (PV) power plant is highly desirable to improve performance of the system and overcome the stochastic nature of PV power generation. Algorithms to size ESS within an integrated PV and ESS ( PV+ESS) power plant, conventionally, require a large number of high-resolution samples of PV generation. These algorithms are computationally expensive. In this paper, a two-day optimization algorithm that utilizes n-step constant power output dispatch every day from the PV+ESS power plant is proposed to size the ESS. Additionally, an n-step power dispatch every day through the one-year timeframe based optimization of the size of ESS is also performed. The proposed methods are computationally cheaper and provide acceptable accuracy with respect to the conventional sizing methods. The economics identified from the proposed methods are compared with the typical day-ahead hourly dispatch-based power production from the PV+ESS power plant. This comparison has shown similar economic performance showcasing the accuracy of the proposed methods in sizing the ESS. It also shows the potential for operating PV+ESS power plant in n-step constant power generation mode.

Authors:

Xia, Qianxue ^[1];

^[1]; Saeedifard, Maryam ^[2];

^[1]; Arifujjaman, Md ^[3]

ORNL
School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA
Southern California Edison (SCE)

Publication Date:: 2020-02-01

Research Org.:: Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)

Sponsoring Org.:: USDOE Office of Energy Efficiency and Renewable Energy (EERE)

OSTI Identifier:: 1649402

DOE Contract Number:: AC05-00OR22725

Resource Type:: Conference

Resource Relation:: Conference: IEEE Innovative Smart Grid Technologies (ISGT) - Washington DC, District of Columbia, United States of America - 2/17/2020 10:00:00 AM-2/20/2020 5:00:00 AM

Country of Publication:: United States

Language:: English

Citation Formats


                    Xia, Qianxue, Debnath, Suman, Saeedifard, Maryam, Marthi, Phani Ratna Vanamali, and Arifujjaman, Md. Energy Storage Sizing and Operation of an Integrated Utility-Scale PV+ESS Power Plant.  United States: N. p., 2020. 
        Web.  doi:10.1109/ISGT45199.2020.9087636.

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                    Xia, Qianxue, Debnath, Suman, Saeedifard, Maryam, Marthi, Phani Ratna Vanamali, & Arifujjaman, Md. Energy Storage Sizing and Operation of an Integrated Utility-Scale PV+ESS Power Plant.  United States.  https://doi.org/10.1109/ISGT45199.2020.9087636

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                    Xia, Qianxue, Debnath, Suman, Saeedifard, Maryam, Marthi, Phani Ratna Vanamali, and Arifujjaman, Md. 2020.  
        "Energy Storage Sizing and Operation of an Integrated Utility-Scale PV+ESS Power Plant".  United States.  https://doi.org/10.1109/ISGT45199.2020.9087636.  https://www.osti.gov/servlets/purl/1649402.

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@article{osti_1649402,

  title        = {Energy Storage Sizing and Operation of an Integrated Utility-Scale PV+ESS Power Plant},

  author       = {Xia, Qianxue and Debnath, Suman and Saeedifard, Maryam and Marthi, Phani Ratna Vanamali and Arifujjaman, Md},

  abstractNote = {Integration of an energy storage system (ESS) into a large-scale grid-connected photovoltaic (PV) power plant is highly desirable to improve performance of the system and overcome the stochastic nature of PV power generation. Algorithms to size ESS within an integrated PV and ESS ( PV+ESS) power plant, conventionally, require a large number of high-resolution samples of PV generation. These algorithms are computationally expensive. In this paper, a two-day optimization algorithm that utilizes n-step constant power output dispatch every day from the PV+ESS power plant is proposed to size the ESS. Additionally, an n-step power dispatch every day through the one-year timeframe based optimization of the size of ESS is also performed. The proposed methods are computationally cheaper and provide acceptable accuracy with respect to the conventional sizing methods. The economics identified from the proposed methods are compared with the typical day-ahead hourly dispatch-based power production from the PV+ESS power plant. This comparison has shown similar economic performance showcasing the accuracy of the proposed methods in sizing the ESS. It also shows the potential for operating PV+ESS power plant in n-step constant power generation mode.},

  doi          = {10.1109/ISGT45199.2020.9087636},

  url          = {https://www.osti.gov/biblio/1649402},
  journal      = {},
number       = ,

  volume       = ,

  place        = {United States},

  year         = {2020},

  month        = {2}

}

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