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/Report/Conference proceedingConference contribution

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 languageEnglish
Title of host publication2020 International Conference on Power Electronics and IoT Applications in Renewable Energy and its Control, PARC 2020
PublisherIEEE
Pages96-101
Number of pages6
ISBN (Electronic)978-1-7281-6575-2
ISBN (Print)978-1-7281-6576-9
DOIs
Publication statusPublished - 7 May 2020

Keywords

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

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    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). [9087153] IEEE. https://doi.org/10.1109/PARC49193.2020.236565