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Hybrid DE-SQP Method for Solving Combined Heat and Power Dynamic Economic Dispatch Problem

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  • A. M. Elaiw
  • X. Xia
  • A. M. Shehata

Abstract

Combined heat and power dynamic economic dispatch (CHPDED) plays a key role in economic operation of power systems. CHPDED determines the optimal heat and power schedule of committed generating units by minimizing the fuel cost under ramp rate constraints and other constraints. Due to complex characteristics, heuristic and evolutionary based optimization approaches have became effective tools to solve the CHPDED problem. This paper proposes hybrid differential evolution (DE) and sequential quadratic programming (SQP) to solve the CHPDED problem with nonsmooth and nonconvex cost function due to valve point effects. DE is used as a global optimizer and SQP is used as a fine tuning to determine the optimal solution at the final. The proposed hybrid DE-SQP method has been tested and compared to demonstrate its effectiveness.

Suggested Citation

  • A. M. Elaiw & X. Xia & A. M. Shehata, 2013. "Hybrid DE-SQP Method for Solving Combined Heat and Power Dynamic Economic Dispatch Problem," Mathematical Problems in Engineering, Hindawi, vol. 2013, pages 1-7, September.
    • Handle: RePEc:hin:jnlmpe:982305
    DOI: 10.1155/2013/982305
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    Cited by:

    1. Zou, Dexuan & Gong, Dunwei, 2022. "Differential evolution based on migrating variables for the combined heat and power dynamic economic dispatch," Energy, Elsevier, vol. 238(PA).
    2. Lai, Wenhao & Song, Qi & Zheng, Xiaoliang & Tao, Qiong & Chen, Hualiang, 2023. "A new version of membrane search algorithm for hybrid renewable energy systems dynamic scheduling," Renewable Energy, Elsevier, vol. 209(C), pages 262-276.
    3. Hamdi Abdi, 2023. "A Survey of Combined Heat and Power-Based Unit Commitment Problem: Optimization Algorithms, Case Studies, Challenges, and Future Directions," Mathematics, MDPI, vol. 11(19), pages 1-36, October.

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