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Market based transmission expansion and reactive power planning with consideration of wind and load uncertainties

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  • Hemmati, Reza
  • Hooshmand, Rahmat-Allah
  • Khodabakhshian, Amin

Abstract

In this paper, a new methodology for Transmission Expansion Planning (TEP) in deregulated electricity market is presented. The proposed TEP is associated with Reactive Power Planning (RPP), reliability assessment and also consideration of wind and load uncertainties. The proposed planning aims at investment cost minimization, social welfare maximization and satisfying reliability constraint at the same time with taking into account wind and load uncertainties. Expected Energy Not Supplied (EENS) is used as an index for reliability evaluation. At first, Monte-Carlo simulation is used to obtain the Probability Density Function (PDF) of Wind Turbine Generator (WTG) output. Then, the WTG and load uncertainties are considered in TEP formulation. Particle Swarm Optimization (PSO) method is considered to solve the proposed planning problem which is a constrained nonlinear mixed integer optimization programming. Simulation results on two standard test systems (Garver and RTS systems) verify the effectiveness of the proposed planning for consideration of wind and load uncertainties in TEP problem under electricity market environment. Also, the proposed method leads to reduction of the total investment cost, the reliability improvement and the social welfare maximization.

Suggested Citation

  • Hemmati, Reza & Hooshmand, Rahmat-Allah & Khodabakhshian, Amin, 2014. "Market based transmission expansion and reactive power planning with consideration of wind and load uncertainties," Renewable and Sustainable Energy Reviews, Elsevier, vol. 29(C), pages 1-10.
    • Handle: RePEc:eee:rensus:v:29:y:2014:i:c:p:1-10
    DOI: 10.1016/j.rser.2013.08.062
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    References listed on IDEAS

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    1. Pereira, Adelino J.C. & Saraiva, João Tomé, 2011. "Generation expansion planning (GEP) – A long-term approach using system dynamics and genetic algorithms (GAs)," Energy, Elsevier, vol. 36(8), pages 5180-5199.
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    Cited by:

    1. Zolfaghari, Saeed & Akbari, Tohid, 2018. "Bilevel transmission expansion planning using second-order cone programming considering wind investment," Energy, Elsevier, vol. 154(C), pages 455-465.
    2. Hemmati, Reza & Hooshmand, Rahmat-Allah & Khodabakhshian, Amin, 2016. "Coordinated generation and transmission expansion planning in deregulated electricity market considering wind farms," Renewable Energy, Elsevier, vol. 85(C), pages 620-630.
    3. Park, Sung-Won & Son, Sung-Yong, 2020. "Interaction-based virtual power plant operation methodology for distribution system operator’s voltage management," Applied Energy, Elsevier, vol. 271(C).
    4. Hemmati, Reza & Azizi, Neda, 2017. "Advanced control strategy on battery storage system for energy management and bidirectional power control in electrical networks," Energy, Elsevier, vol. 138(C), pages 520-528.
    5. Hemmati, Reza & Saboori, Hedayat & Jirdehi, Mehdi Ahmadi, 2016. "Multistage generation expansion planning incorporating large scale energy storage systems and environmental pollution," Renewable Energy, Elsevier, vol. 97(C), pages 636-645.
    6. Hamdi Abdi & Mansour Moradi & Sara Lumbreras, 2021. "Metaheuristics and Transmission Expansion Planning: A Comparative Case Study," Energies, MDPI, vol. 14(12), pages 1-23, June.
    7. Zhu, Huaxing & Zhang, Chi, 2019. "Expanding a complex networked system for enhancing its reliability evaluated by a new efficient approach," Reliability Engineering and System Safety, Elsevier, vol. 188(C), pages 205-220.
    8. Anaya, K. & Pollitt, M., 2018. "Reactive Power Procurement: Lessons from Three Leading Countries," Cambridge Working Papers in Economics 1854, Faculty of Economics, University of Cambridge.
    9. Fitiwi, Desta Z. & de Cuadra, F. & Olmos, L. & Rivier, M., 2015. "A new approach of clustering operational states for power network expansion planning problems dealing with RES (renewable energy source) generation operational variability and uncertainty," Energy, Elsevier, vol. 90(P2), pages 1360-1376.
    10. Farrell, Niall & Devine, Mel T. & Soroudi, Alireza, 2018. "An auction framework to integrate dynamic transmission expansion planning and pay-as-bid wind connection auctions," Applied Energy, Elsevier, vol. 228(C), pages 2462-2477.
    11. Jordehi, A. Rezaee, 2015. "Particle swarm optimisation (PSO) for allocation of FACTS devices in electric transmission systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 1260-1267.
    12. Jordehi, A. Rezaee, 2018. "How to deal with uncertainties in electric power systems? A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 96(C), pages 145-155.
    13. Saboori, Hedayat & Hemmati, Reza, 2017. "Maximizing DISCO profit in active distribution networks by optimal planning of energy storage systems and distributed generators," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 365-372.
    14. Henrik C. Bylling & Salvador Pineda & Trine K. Boomsma, 2020. "The impact of short-term variability and uncertainty on long-term power planning," Annals of Operations Research, Springer, vol. 284(1), pages 199-223, January.
    15. Saboori, Hedayat & Hemmati, Reza & Jirdehi, Mehdi Ahmadi, 2015. "Reliability improvement in radial electrical distribution network by optimal planning of energy storage systems," Energy, Elsevier, vol. 93(P2), pages 2299-2312.

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