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Transmission management for congested power system: A review of concepts, technical challenges and development of a new methodology

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  • Bachtiar Nappu, Muhammad
  • Arief, Ardiaty
  • Bansal, Ramesh C.

Abstract

Transmission networks have some constraints that should be addressed in order to ensure sufficient control to maintain the security level of a power system while maximising market efficiency. The most obvious drawback of transmission constraints is a congestion problem that becomes an obstacle to perfect competition among the market participants since it can influence spot market pricing. As the power flow violates transmission constraints, redispatching generating units is required and this will cause the price at every node to vary. This manuscript presents concepts, technical challenges and methodology for investigating an alternative solution to the redispatch mechanism and then formulates LMP scheme using an optimisation technique that may well control congestion as the main issue. The LMP scheme are varied and improved to take into account the energy price, congestion revenue, cost of losses, as well as the transmission usage tariff by utilising shift factor-based optimal power flow (SF-OPF), which is derived from the well-known DC optimal power flow (DC-OPF) model.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:rensus:v:38:y:2014:i:c:p:572-580
    DOI: 10.1016/j.rser.2014.05.089
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    Cited by:

    1. Pan, Guangsheng & Gu, Wei & Chen, Sheng & Lu, Yuping & Zhou, Suyang & Wei, Zhinong, 2021. "Investment equilibrium of an integrated multi–stakeholder electricity–gas–hydrogen system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 150(C).
    2. Prajapati, Vijaykumar K. & Mahajan, Vasundhara, 2021. "Reliability assessment and congestion management of power system with energy storage system and uncertain renewable resources," Energy, Elsevier, vol. 215(PB).
    3. Bell, Keith & Gill, Simon, 2018. "Delivering a highly distributed electricity system: Technical, regulatory and policy challenges," Energy Policy, Elsevier, vol. 113(C), pages 765-777.
    4. Muhammad Bachtiar Nappu & Ardiaty Arief & Willy Akbar Ajami, 2023. "Energy Efficiency in Modern Power Systems Utilizing Advanced Incremental Particle Swarm Optimization–Based OPF," Energies, MDPI, vol. 16(4), pages 1-13, February.
    5. Oliva H., Sebastian & Muñoz, Juan & Fredes, Felipe & Sauma, Enzo, 2022. "Impact of increasing transmission capacity for a massive integration of renewable energy on the energy and environmental value of distributed generation," Renewable Energy, Elsevier, vol. 183(C), pages 524-534.
    6. 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.
    7. Upreti, Naveen & Sunder, Raju Ganesh & Dalei, Narendra N. & Garg, Sandeep, 2018. "Challenges of India's power transmission system," Utilities Policy, Elsevier, vol. 55(C), pages 129-141.
    8. Papadimitrakis, M. & Giamarelos, N. & Stogiannos, M. & Zois, E.N. & Livanos, N.A.-I. & Alexandridis, A., 2021. "Metaheuristic search in smart grid: A review with emphasis on planning, scheduling and power flow optimization applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 145(C).

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