AGC Based Market Modeling of Deregulated Power System Employing Electric Vehicles and Battery Energy Storage System

  • Debdeep Saha*
  • , Rajesh Panda
  • , Bipul Kumar Talukdar
  • *Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    This paper presents market-based approach towards automatic generation control for an open market environment. Two control areas consisting integrated governing strategy for electric vehicles (EV) aggregators, battery energy storage system (BESSs) and traditional conventional resources are involved in automatic generation control framework. Each unit is employed with Generation Rate Constraint and Governor Dead Band to provide an insight to the realistic power system. Also, the test system is simulated for open market scenario to check the robustness of the system under bilateral transaction with coordinated control of EV and BESS. The large-scale EV, BESS and conventional sources from each control areas participate in the pool-co market bidding process and maximize their profit by placing revised bids to the Independent System Operator (ISO). The investigation results infer that the coordinated system with dispatchable and non dispatchable units can fully integrate the advantages of EV/BESS, but also attain the proportionate between different conventional sources, which in turn increase the frequency stability and ensure effective market clearing mechanism and economic dispatch.

    Original languageEnglish
    Title of host publicationComputational Intelligence in Pattern Recognition - Proceedings of CIPR 2022
    EditorsAsit Kumar Das, Janmenjoy Nayak, Bighnaraj Naik, S. Vimal, Danilo Pelusi
    PublisherSpringer Science and Business Media Deutschland GmbH
    Pages458-468
    Number of pages11
    ISBN (Print)9789811930881
    DOIs
    Publication statusPublished - 2022
    Event4th International Conference on Computational Intelligence in Pattern Recognition, CIPR 2022 - Kolkata, India
    Duration: 23-04-202224-04-2022

    Publication series

    NameLecture Notes in Networks and Systems
    Volume480 LNNS
    ISSN (Print)2367-3370
    ISSN (Electronic)2367-3389

    Conference

    Conference4th International Conference on Computational Intelligence in Pattern Recognition, CIPR 2022
    Country/TerritoryIndia
    CityKolkata
    Period23-04-2224-04-22

    All Science Journal Classification (ASJC) codes

    • Control and Systems Engineering
    • Signal Processing
    • Computer Networks and Communications

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