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Modified Cuckoo Search Algorithm: A Novel Method to Minimize the Fuel Cost

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  • Thang Trung Nguyen

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

  • Dieu Ngoc Vo

    (Department of Power Systems, Ho Chi Minh City University of Technology, Ho Chi Minh City 700000, Vietnam)

  • Nguyen Vu Quynh

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

Economic load dispatch (ELD) is an important optimization problem for operating and controlling modern power systems, and if ELD is effectively executed, power systems work stably and economically. The main objective of this paper is to develop a novel method to solve the ELD with the purpose of minimizing the total fuel cost of all available generating units while requirements are to satisfy all constraints regarding thermal units, generators, and transmission power networks. The proposed high performance cuckoo search algorithm (HPCSA) is developed from the efficient technique for the second new solution generation of conventional cuckoo search algorithm (CCSA), called adaptive mutation technique. This proposed technique diversifies the local search ability based on a new comparison criterion. The HPCSA is verified on difference systems under special conditions, namely the 10-unit system with multi fuels, 15-unit system considering prohibited operating zones, and three IEEE systems with 30, 57, and 118 buses considering transmission power network constraints. The specific evaluation of the HPCSA is compared to that of Lagrange optimization-based methods (LMS), neural network-based methods (NNMS), CCSA, and other popular methods such as Particle swarm optimization (PSO) variants, Differential evolution (DE) variants, Genetic Algorithm (GA) variants, and state-of-the-art methods. In comparison with CCSA, the proposed method is always more effective and more robust since the proposed method can find most solutions with better quality and faster convergence speed. In comparison with LMS and NNMS, the proposed method can also find solutions with approximate or equal quality. In comparison with popular methods and state-of-the-art methods, the proposed method has more potential since it can reach faster convergence to valid solutions with approximate or better quality. Consequently, it can be concluded that the proposed HPCSA is an effective optimization tool for dealing with ELD problems.

Suggested Citation

  • Thang Trung Nguyen & Dieu Ngoc Vo & Nguyen Vu Quynh & Le Van Dai, 2018. "Modified Cuckoo Search Algorithm: A Novel Method to Minimize the Fuel Cost," Energies, MDPI, vol. 11(6), pages 1-27, May.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:6:p:1328-:d:148583
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    References listed on IDEAS

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    1. Ghasemi, Mojtaba & Ghavidel, Sahand & Ghanbarian, Mohammad Mehdi & Gharibzadeh, Masihallah & Azizi Vahed, Ali, 2014. "Multi-objective optimal power flow considering the cost, emission, voltage deviation and power losses using multi-objective modified imperialist competitive algorithm," Energy, Elsevier, vol. 78(C), pages 276-289.
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    Cited by:

    1. Zelan Li & Yijia Cao & Le Van Dai & Xiaoliang Yang & Thang Trung Nguyen, 2019. "Optimal Power Flow for Transmission Power Networks Using a Novel Metaheuristic Algorithm," Energies, MDPI, vol. 12(22), pages 1-36, November.
    2. Ayman Alhejji & Alban Kuriqi & Jakub Jurasz & Farag K. Abo-Elyousr, 2021. "Energy Harvesting and Water Saving in Arid Regions via Solar PV Accommodation in Irrigation Canals," Energies, MDPI, vol. 14(9), pages 1-24, May.
    3. Thanh Long Duong & Phuong Duy Nguyen & Van-Duc Phan & Dieu Ngoc Vo & Thang Trung Nguyen, 2019. "Optimal Load Dispatch in Competitive Electricity Market by Using Different Models of Hopfield Lagrange Network," Energies, MDPI, vol. 12(15), pages 1-24, July.
    4. Oludamilare Bode Adewuyi & Ayooluwa Peter Adeagbo & Isaiah Gbadegesin Adebayo & Harun Or Rashid Howlader & Yanxia Sun, 2021. "Modified Analytical Approach for PV-DGs Integration into a Radial Distribution Network Considering Loss Sensitivity and Voltage Stability," Energies, MDPI, vol. 14(22), pages 1-20, November.
    5. Thang Trung Nguyen & Dieu Ngoc Vo & Hai Van Tran & Le Van Dai, 2019. "Optimal Dispatch of Reactive Power Using Modified Stochastic Fractal Search Algorithm," Complexity, Hindawi, vol. 2019, pages 1-28, May.

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