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An approach for long term economic operations of competitive power market by optimal combined scheduling of wind turbines and FACTS controllers

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  • Dawn, Subhojit
  • Tiwari, Prashant Kumar
  • Goswami, Arup Kumar

Abstract

Wind farm integration with existing main electricity grid is very difficult due to the uncertainty of wind speed, which affects the balancing nature of electrical system. In current competitive power market, it is very challenging to maintain the quality of delivered power to the customers and also maximization of profit for delivered power after integration of such type of intermittent renewable energy sources. This paper presents an efficient optimization approach to achieve the maximum social welfare and profit of consumers as well as maximum profit of generation companies, by minimizing the adverse effect of imbalance cost which is the product of uncertain wind penetration. The optimal placement of Thyristor Controlled Series Compensator (TCSC) & Unified Power Flow Controller (UPFC) devices, with optimal wind generator placement has been incorporated in the proposed method. The real time data for actual and forecasted wind speed has been collected from different identified places of India. Modified IEEE 14 bus and modified IEEE 30 bus test systems are considered in this work for validating and analyzing the effectiveness of the proposed approach.

Suggested Citation

  • Dawn, Subhojit & Tiwari, Prashant Kumar & Goswami, Arup Kumar, 2019. "An approach for long term economic operations of competitive power market by optimal combined scheduling of wind turbines and FACTS controllers," Energy, Elsevier, vol. 181(C), pages 709-723.
    • Handle: RePEc:eee:energy:v:181:y:2019:i:c:p:709-723
    DOI: 10.1016/j.energy.2019.05.225
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    References listed on IDEAS

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    Cited by:

    1. Marwa Al-Saidi & Abdullah Al-Badi & Ahmet Onen & Abdelsalam Elhaffar, 2023. "Optimal Location and Size of Static Var Compensators (SVC) to Enhance the Voltage Profile on the Main Interconnected System in Oman," Energies, MDPI, vol. 16(19), pages 1-15, September.
    2. Mirzapour, Omid & Rui, Xinyang & Sahraei-Ardakani, Mostafa, 2023. "Transmission impedance control impacts on carbon emissions and renewable energy curtailment," Energy, Elsevier, vol. 278(C).
    3. Ewaoche John Okampo & Nnamdi Nwulu & Pitshou N. Bokoro, 2022. "Optimal Placement and Operation of FACTS Technologies in a Cyber-Physical Power System: Critical Review and Future Outlook," Sustainability, MDPI, vol. 14(13), pages 1-26, June.
    4. Muhammad Nadeem & Kashif Imran & Abraiz Khattak & Abasin Ulasyar & Anamitra Pal & Muhammad Zulqarnain Zeb & Atif Naveed Khan & Malhar Padhee, 2020. "Optimal Placement, Sizing and Coordination of FACTS Devices in Transmission Network Using Whale Optimization Algorithm," Energies, MDPI, vol. 13(3), pages 1-24, February.
    5. Ganesh Sampatrao Patil & Anwar Mulla & Taha Selim Ustun, 2022. "Impact of Wind Farm Integration on LMP in Deregulated Energy Markets," Sustainability, MDPI, vol. 14(7), pages 1-20, April.
    6. Ningxuan Guo & Yinan Wang & Gangfeng Yan & Jian Hou, 2020. "Non-Cooperative Game in Block Bidding Markets Considering Demand Response," Energies, MDPI, vol. 13(13), pages 1-18, June.
    7. Ganesh Sampatrao Patil & Anwar Mulla & Subhojit Dawn & Taha Selim Ustun, 2022. "Profit Maximization with Imbalance Cost Improvement by Solar PV-Battery Hybrid System in Deregulated Power Market," Energies, MDPI, vol. 15(14), pages 1-21, July.
    8. Arup Das & Subhojit Dawn & Sadhan Gope & Taha Selim Ustun, 2022. "A Strategy for System Risk Mitigation Using FACTS Devices in a Wind Incorporated Competitive Power System," Sustainability, MDPI, vol. 14(13), pages 1-21, July.

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