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A Novel Algorithm for Optimal Operation of Hydrothermal Power Systems under Considering the Constraints in Transmission Networks

Author

Listed:
  • Thang Trung Nguyen

    (Power System Optimization Research Group, Faculty of Electrical and Electronics Engineering, Ton Duc Thang University, Ho Chi Minh City 700000, Vietnam)

  • Bach Hoang Dinh

    (Faculty of Electrical and Electronics Engineering, Ton Duc Thang University, Ho Chi Minh City 700000, Vietnam)

  • Nguyen Vu Quynh

    (Department of Electrical Engineering, Lac Hong University, Bien Hoa 810000, Vietnam)

  • Minh Quan Duong

    (Department of Electrical Engineering, The University of Da Nang—University of Science and Technology, Danang 550000, Vietnam)

  • Le Van Dai

    (Institute of Research and Development, Duy Tan University, Danang 550000, Vietnam
    Office of Science Research and Development, Lac Hong University, Bien Hoa 810000, Vietnam)

Abstract

This paper proposes an effective novel cuckoo search algorithm (ENCSA) in order to enhance the operation capacity of hydrothermal power systems, considering the constraints in the transmission network, and especially to overcome optimal power flow (OPF) problems. This proposed algorithm is developed on the basis of the conventional cuckoo search algorithm (CSA) by two modified techniques: the first is the self-adaptive technique for generating the second new solutions via discovery of alien eggs, and the second is the high-quality solutions based on a selection technique to keep the best solutions among all new and old solutions. These techniques are able to expand the search zone to overcome the local optimum trap and are able to improve the optimal solution quality and convergence speed as well. Therefore, the proposed method has significant impacts on the searching performances. The efficacy of the proposed method is investigated and verified using IEEE 30 and 118 buses systems via numerical simulation. The obtained results are compared with the conventional cuckoo search algorithm (CCSA) and the modified cuckoo search algorithm (MCSA). As a result, the proposed method can overcome the OPF of hydrothermal power systems better than the conventional ones in terms of the optimal solution quality, convergence speed, and high success rate.

Suggested Citation

  • Thang Trung Nguyen & Bach Hoang Dinh & Nguyen Vu Quynh & Minh Quan Duong & Le Van Dai, 2018. "A Novel Algorithm for Optimal Operation of Hydrothermal Power Systems under Considering the Constraints in Transmission Networks," Energies, MDPI, vol. 11(1), pages 1-21, January.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:1:p:188-:d:126743
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    References listed on IDEAS

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    1. Basu, M., 2011. "Artificial immune system for fixed head hydrothermal power system," Energy, Elsevier, vol. 36(1), pages 606-612.
    2. Walton, S. & Hassan, O. & Morgan, K. & Brown, M.R., 2011. "Modified cuckoo search: A new gradient free optimisation algorithm," Chaos, Solitons & Fractals, Elsevier, vol. 44(9), pages 710-718.
    3. Gonggui Chen & Zhengmei Lu & Zhizhong Zhang, 2018. "Improved Krill Herd Algorithm with Novel Constraint Handling Method for Solving Optimal Power Flow Problems," Energies, MDPI, vol. 11(1), pages 1-27, January.
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    Cited by:

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    3. Zelan Li & Yijia Cao & Le Van Dai & Xiaoliang Yang & Thang Trung Nguyen, 2019. "Finding Solutions for Optimal Reactive Power Dispatch Problem by a Novel Improved Antlion Optimization Algorithm," Energies, MDPI, vol. 12(15), pages 1-31, August.
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    5. Wei Sun & Yufei Hou & Lanjiang Guo, 2018. "Analyzing and Forecasting Energy Consumption in China’s Manufacturing Industry and Its Subindustries," Sustainability, MDPI, vol. 11(1), pages 1-26, December.

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