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Methods and Methodologies for Congestion Alleviation in the DPS: A Comprehensive Review

Author

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  • Anurag Gautam

    (Electrical Engineering, Jamia Millia Islamia, New Delhi 110025, India)

  • Ibraheem

    (Electrical Engineering, Jamia Millia Islamia, New Delhi 110025, India)

  • Gulshan Sharma

    (Department of Electrical Engineering Technology, University of Johannesburg, Johannesburg 2006, South Africa)

  • Mohammad F. Ahmer

    (Department of Electrical and Electronics Engineering, Mewat Engineering College, Nuh 122107, India)

  • Narayanan Krishnan

    (EEE Department, School of Electrical & Electronics Engineering, SASTRA Deemed to Be University, Thanjavur 613401, India)

Abstract

The modern power system has reached its present state after wading a long path facing several changes in strategies and the implementation of several reforms. Economic and geographical constraints led to reforms and deregulations in the power system to utilize resources optimally within the existing framework. The major hindrance in the efficient operation of the deregulated power system (DPS) is congestion, which is the result of the participation of private players under deregulation policies. This paper reviews different setbacks introduced by congestion and the methods applied/proposed to mitigate it. Technical and non-technical methods are reviewed and detailed. Major optimization techniques proposed to achieve congestion alleviation are presented comprehensively. This paper combines major publications in the field of congestion management and presents their contribution towards the alleviation of congestion.

Suggested Citation

  • Anurag Gautam & Ibraheem & Gulshan Sharma & Mohammad F. Ahmer & Narayanan Krishnan, 2023. "Methods and Methodologies for Congestion Alleviation in the DPS: A Comprehensive Review," Energies, MDPI, vol. 16(4), pages 1-28, February.
  • Handle: RePEc:gam:jeners:v:16:y:2023:i:4:p:1765-:d:1064187
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    References listed on IDEAS

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    1. Dalia Streimikiene & Tomas Balezentis & Ilona Alisauskaite-Seskiene & Gintare Stankuniene & Zaneta Simanaviciene, 2019. "A Review of Willingness to Pay Studies for Climate Change Mitigation in the Energy Sector," Energies, MDPI, vol. 12(8), pages 1-38, April.
    2. Sujatha Balaraman & N. Kamaraj, 2010. "Congestion Management Using Hybrid Particle Swarm Optimization Technique," International Journal of Swarm Intelligence Research (IJSIR), IGI Global, vol. 1(3), pages 51-66, July.
    3. Panda, Mitali & Nayak, Yogesh Kumar, 2022. "Impact analysis of renewable energy Distributed Generation in deregulated electricity markets: A Context of Transmission Congestion Problem," Energy, Elsevier, vol. 254(PC).
    4. Nesamalar, J. Jeslin Drusila & Venkatesh, P. & Raja, S. Charles, 2016. "Energy management by generator rescheduling in congestive deregulated power system," Applied Energy, Elsevier, vol. 171(C), pages 357-371.
    5. Esmaili, Masoud & Shayanfar, Heidar Ali & Moslemi, Ramin, 2014. "Locating series FACTS devices for multi-objective congestion management improving voltage and transient stability," European Journal of Operational Research, Elsevier, vol. 236(2), pages 763-773.
    6. Hemmati, Reza & Saboori, Hedayat & Jirdehi, Mehdi Ahmadi, 2017. "Stochastic planning and scheduling of energy storage systems for congestion management in electric power systems including renewable energy resources," Energy, Elsevier, vol. 133(C), pages 380-387.
    7. Humberto Verdejo & Victor Pino & Wolfgang Kliemann & Cristhian Becker & José Delpiano, 2020. "Implementation of Particle Swarm Optimization (PSO) Algorithm for Tuning of Power System Stabilizers in Multimachine Electric Power Systems," Energies, MDPI, vol. 13(8), pages 1-29, April.
    8. Divya Gupta & Sanjay Kumar Jain, 2021. "Available Transfer Capability Enhancement by FACTS Devices Using Metaheuristic Evolutionary Particle Swarm Optimization (MEEPSO) Technique," Energies, MDPI, vol. 14(4), pages 1-28, February.
    9. Warid Warid & Hashim Hizam & Norman Mariun & Noor Izzri Abdul-Wahab, 2016. "Optimal Power Flow Using the Jaya Algorithm," Energies, MDPI, vol. 9(9), pages 1-18, August.
    10. Jagadeeswar Reddy Chintam & Mary Daniel, 2018. "Real-Power Rescheduling of Generators for Congestion Management Using a Novel Satin Bowerbird Optimization Algorithm," Energies, MDPI, vol. 11(1), pages 1-16, January.
    11. Bachtiar Nappu, Muhammad & Arief, Ardiaty & Bansal, Ramesh C., 2014. "Transmission management for congested power system: A review of concepts, technical challenges and development of a new methodology," Renewable and Sustainable Energy Reviews, Elsevier, vol. 38(C), pages 572-580.
    12. Dirk Hladik & Christoph Fraunholz & Matthias Kühnbach & Pia Manz & Robert Kunze, 2020. "Insights on Germany’s Future Congestion Management from a Multi-Model Approach," Energies, MDPI, vol. 13(16), pages 1-27, August.
    13. Padmini Sankaramurthy & Bharatiraja Chokkalingam & Sanjeevikumar Padmanaban & Zbigniew Leonowicz & Yusuff Adedayo, 2019. "Rescheduling of Generators with Pumped Hydro Storage Units to Relieve Congestion Incorporating Flower Pollination Optimization," Energies, MDPI, vol. 12(8), pages 1-19, April.
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