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Coordinated generation and transmission expansion planning in deregulated electricity market considering wind farms

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

Abstract

This paper deals with a coordinated generation expansion planning (GEP)–transmission expansion planning (TEP) in competitive electricity market. In the proposed method, GEP and TEP are performed at the same time, with consideration of wind farm uncertainty. The uncertainty is modeled by normal probability distribution function (PDF) and Monte-Carlo simulation (MCS) is used to include the uncertainty into the problem. The planning is managed for two master and slave levels. At slave level, all generation company (GENCO) and transmission company (TRANSCO) maximize their profit and then at master level, the system constraints are checked by independent system operator (ISO). In other words, the proposed planning aims at maximizing the expected profit of all GENCOs and TRANSCOs, while considering security and reliability constraints such as reserve margin and loss of load expectation (LOLE). The proposed problem is a constrained, nonlinear, mixed-integer optimization programming and solved by using particle swarm optimization (PSO) method. Simulation results verify the effectiveness and validity of the proposed planning for maximizing GENCOs and TRANSCOs profit in the presence of wind farm uncertainty under electricity market.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:renene:v:85:y:2016:i:c:p:620-630
    DOI: 10.1016/j.renene.2015.07.019
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    References listed on IDEAS

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    1. Hemmati, Reza & Hooshmand, Rahmat-Allah & Khodabakhshian, Amin, 2013. "State-of-the-art of transmission expansion planning: Comprehensive review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 23(C), pages 312-319.
    2. 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.
    3. Cadini, F. & Zio, E. & Petrescu, C.A., 2010. "Optimal expansion of an existing electrical power transmission network by multi-objective genetic algorithms," Reliability Engineering and System Safety, Elsevier, vol. 95(3), pages 173-181.
    4. Kern, Jordan D. & Patino-Echeverri, Dalia & Characklis, Gregory W., 2014. "An integrated reservoir-power system model for evaluating the impacts of wind integration on hydropower resources," Renewable Energy, Elsevier, vol. 71(C), pages 553-562.
    5. Bastankhah, Majid & Porté-Agel, Fernando, 2014. "A new analytical model for wind-turbine wakes," Renewable Energy, Elsevier, vol. 70(C), pages 116-123.
    6. Platero, C.A. & Nicolet, C. & Sánchez, J.A. & Kawkabani, B., 2014. "Increasing wind power penetration in autonomous power systems through no-flow operation of Pelton turbines," Renewable Energy, Elsevier, vol. 68(C), pages 515-523.
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