Estimation of State-of-Charge for Dynamic Management of Battery Energy Storage Systems for High Renewable Penetration

Rayees Ahmad  Thokar; Nikhil Gupta; K. R. Niazi; Anil Swarnkar; Nand K. Meena

doi:10.1109/PARC49193.2020.236565

Estimation of State-of-Charge for Dynamic Management of Battery Energy Storage Systems for High Renewable Penetration

Rayees Ahmad Thokar, Nikhil Gupta, K. R. Niazi, Anil Swarnkar, Nand K. Meena

Research output: Chapter in Book/Published conference output › Conference publication

Abstract

In this article, the problem of simultaneous integration of renewable generation and energy storage systems is framed as a two-level optimization framework in which the siting-sizing and coordinated management of SPVs and BESSs play the role of the leader and the follower respectively in distribution networks (DNs). The first-level of framework is designed to determine optimal sites and sizes of SPVs and BESSs simultaneously to minimize the annual energy loss and load deviation while optimally utilizing the deployed BESSs. The dynamic BESS management (DBM) model is developed in the second-level of framework aiming to minimize multiple objectives such as power loss, node voltage deviation and reverse power flow into the main grid. In the proposed DBM, some new strategies are suggested for optimal dispatch of BESSs. The application results show that the proposed DBM mitigates the intermittency and other related issues of high SPV penetration positively in DNs.

Original language	English
Title of host publication	2020 International Conference on Power Electronics and IoT Applications in Renewable Energy and its Control, PARC 2020
Publisher	IEEE
Pages	96-101
Number of pages	6
ISBN (Electronic)	978-1-7281-6575-2
ISBN (Print)	978-1-7281-6576-9
DOIs	https://doi.org/10.1109/PARC49193.2020.236565
Publication status	Published - 7 May 2020

Keywords

Dynamic BESS Management (DBM)
Renewable Integration
State-of-Charge Estimation
Two-level Optimization Framework

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10.1109/PARC49193.2020.236565

Cite this

Thokar, R. A., Gupta, N., Niazi, K. R., Swarnkar, A., & Meena, N. K. (2020). Estimation of State-of-Charge for Dynamic Management of Battery Energy Storage Systems for High Renewable Penetration. In 2020 International Conference on Power Electronics and IoT Applications in Renewable Energy and its Control, PARC 2020 (pp. 96-101). Article 9087153 IEEE. https://doi.org/10.1109/PARC49193.2020.236565

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title = "Estimation of State-of-Charge for Dynamic Management of Battery Energy Storage Systems for High Renewable Penetration",

abstract = "In this article, the problem of simultaneous integration of renewable generation and energy storage systems is framed as a two-level optimization framework in which the siting-sizing and coordinated management of SPVs and BESSs play the role of the leader and the follower respectively in distribution networks (DNs). The first-level of framework is designed to determine optimal sites and sizes of SPVs and BESSs simultaneously to minimize the annual energy loss and load deviation while optimally utilizing the deployed BESSs. The dynamic BESS management (DBM) model is developed in the second-level of framework aiming to minimize multiple objectives such as power loss, node voltage deviation and reverse power flow into the main grid. In the proposed DBM, some new strategies are suggested for optimal dispatch of BESSs. The application results show that the proposed DBM mitigates the intermittency and other related issues of high SPV penetration positively in DNs.",

keywords = "Dynamic BESS Management (DBM), Renewable Integration, State-of-Charge Estimation, Two-level Optimization Framework",

author = "Thokar, {Rayees Ahmad} and Nikhil Gupta and Niazi, {K. R.} and Anil Swarnkar and Meena, {Nand K.}",

year = "2020",

month = may,

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doi = "10.1109/PARC49193.2020.236565",

language = "English",

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}

Thokar, RA, Gupta, N, Niazi, KR, Swarnkar, A & Meena, NK 2020, Estimation of State-of-Charge for Dynamic Management of Battery Energy Storage Systems for High Renewable Penetration. in 2020 International Conference on Power Electronics and IoT Applications in Renewable Energy and its Control, PARC 2020., 9087153, IEEE, pp. 96-101. https://doi.org/10.1109/PARC49193.2020.236565

Estimation of State-of-Charge for Dynamic Management of Battery Energy Storage Systems for High Renewable Penetration. / Thokar, Rayees Ahmad ; Gupta, Nikhil; Niazi, K. R. et al.
2020 International Conference on Power Electronics and IoT Applications in Renewable Energy and its Control, PARC 2020. IEEE, 2020. p. 96-101 9087153.

Research output: Chapter in Book/Published conference output › Conference publication

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T1 - Estimation of State-of-Charge for Dynamic Management of Battery Energy Storage Systems for High Renewable Penetration

AU - Thokar, Rayees Ahmad

AU - Gupta, Nikhil

AU - Niazi, K. R.

AU - Swarnkar, Anil

AU - Meena, Nand K.

PY - 2020/5/7

Y1 - 2020/5/7

N2 - In this article, the problem of simultaneous integration of renewable generation and energy storage systems is framed as a two-level optimization framework in which the siting-sizing and coordinated management of SPVs and BESSs play the role of the leader and the follower respectively in distribution networks (DNs). The first-level of framework is designed to determine optimal sites and sizes of SPVs and BESSs simultaneously to minimize the annual energy loss and load deviation while optimally utilizing the deployed BESSs. The dynamic BESS management (DBM) model is developed in the second-level of framework aiming to minimize multiple objectives such as power loss, node voltage deviation and reverse power flow into the main grid. In the proposed DBM, some new strategies are suggested for optimal dispatch of BESSs. The application results show that the proposed DBM mitigates the intermittency and other related issues of high SPV penetration positively in DNs.

AB - In this article, the problem of simultaneous integration of renewable generation and energy storage systems is framed as a two-level optimization framework in which the siting-sizing and coordinated management of SPVs and BESSs play the role of the leader and the follower respectively in distribution networks (DNs). The first-level of framework is designed to determine optimal sites and sizes of SPVs and BESSs simultaneously to minimize the annual energy loss and load deviation while optimally utilizing the deployed BESSs. The dynamic BESS management (DBM) model is developed in the second-level of framework aiming to minimize multiple objectives such as power loss, node voltage deviation and reverse power flow into the main grid. In the proposed DBM, some new strategies are suggested for optimal dispatch of BESSs. The application results show that the proposed DBM mitigates the intermittency and other related issues of high SPV penetration positively in DNs.

KW - Dynamic BESS Management (DBM)

KW - Renewable Integration

KW - State-of-Charge Estimation

KW - Two-level Optimization Framework

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M3 - Conference publication

SN - 978-1-7281-6576-9

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BT - 2020 International Conference on Power Electronics and IoT Applications in Renewable Energy and its Control, PARC 2020

PB - IEEE

ER -

Estimation of State-of-Charge for Dynamic Management of Battery Energy Storage Systems for High Renewable Penetration

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Keywords

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