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Solving Bi-Objective Short-Term Cascaded Hydrothermal Scheduling Problem Using Modified Cuckoo Search Algorithm

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AETA 2015: Recent Advances in Electrical Engineering and Related Sciences

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 371))

Abstract

This paper presents a modified cuckoo search algorithm (MCSA) for solving bi-objective short-term cascaded hydrothermal scheduling (BO-STCHTS) problem. The objective of the problem is to determine the optimal operation for thermal plants and a cascaded reservoir system while satisfying all constraints including electrical constraints of both hydro and thermal plants and hydraulic constraints of reservoirs so that the total generation of fuel cost and pollutant emission from thermal power plants are minimized. The MCSA has been developed by modifying the search strategy via Lévy flights to improve the performance of the conventional cuckoo search algorithm for solving the problem. The result comparison from a test system with nonconvex fuel cost function and cascaded reservoir between the proposed MCSA and other methods in the literature has shown that the MCSA is very efficient for the BO-STCHTS problem. Therefore, the proposed NCSA can be a efficient method for solving the nonconvex BO-STCHTS problem.

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Author information

Authors and Affiliations

  1. Faculty of Electrical and Electronics Engineering, Ton Duc Thang University, No. 19 Nguyen Huu Tho Street, District 7, Ho Chi Minh City, Vietnam

    Thang Trung Nguyen & Bao Quoc Nguyen

  2. Faculty of Electrical and Electronics Engineering, University of Technical Education HCM City, 1 Vo Van Ngan Street, Thu Duc District, Hcm City, Vietnam

    Tuan Van Duong

  3. Department of Power Systems, HCM City University of Technology, 268 Ly Thuong Kiet Street, 10th District, Hcm City, Vietnam

    Dieu Ngoc Vo

Authors
  1. Thang Trung Nguyen
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  2. Tuan Van Duong
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  3. Dieu Ngoc Vo
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  4. Bao Quoc Nguyen
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Corresponding author

Correspondence to Thang Trung Nguyen .

Editor information

Editors and Affiliations

  1. Faculty of Electrical and Electronics En, Ton Duc Thang University, Ho Chi Minh City, Vietnam

    Vo Hoang Duy

  2. MERLIN, Ton Duc Thang University, Ho Chi Minh City, Vietnam

    Tran Trong Dao

  3. Electrical Engineering and Computer Scie, VŠB—Technical University, Ostrava-Poruba, Czech Republic

    Ivan Zelinka

  4. Division of Mechanical, Korea Maritime and Ocean University, Busan, Korea (Republic of)

    Hyeung-Sik Choi

  5. Université de Picardie Jules Verne, Laboratoire MIS, Amiens Cedex 1, France

    Mohammed Chadli

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Nguyen, T.T., Van Duong, T., Vo, D.N., Nguyen, B.Q. (2016). Solving Bi-Objective Short-Term Cascaded Hydrothermal Scheduling Problem Using Modified Cuckoo Search Algorithm. In: Duy, V., Dao, T., Zelinka, I., Choi, HS., Chadli, M. (eds) AETA 2015: Recent Advances in Electrical Engineering and Related Sciences. Lecture Notes in Electrical Engineering, vol 371. Springer, Cham. https://doi.org/10.1007/978-3-319-27247-4_19

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  • DOI: https://doi.org/10.1007/978-3-319-27247-4_19

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-27245-0

  • Online ISBN: 978-3-319-27247-4

  • eBook Packages: EngineeringEngineering (R0)

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