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Combined Heat and Power Dynamic Economic Dispatch with Emission Limitations Using Hybrid DE-SQP Method

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

Abstract

Combined heat and power dynamic economic emission dispatch (CHPDEED) problem is a complicated nonlinear constrained multiobjective optimization problem with nonconvex characteristics. CHPDEED determines the optimal heat and power schedule of committed generating units by minimizing both fuel cost and emission simultaneously under ramp rate constraints and other constraints. This paper proposes hybrid differential evolution (DE) and sequential quadratic programming (SQP) to solve the CHPDEED 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. "Combined Heat and Power Dynamic Economic Dispatch with Emission Limitations Using Hybrid DE-SQP Method," Abstract and Applied Analysis, Hindawi, vol. 2013, pages 1-10, November.
    • Handle: RePEc:hin:jnlaaa:120849
    DOI: 10.1155/2013/120849
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    Cited by:

    1. Xilin Zhao & Fei Liu & Bo Fu & Na Fang, 2016. "Reliability analysis of hybrid multi-carrier energy systems based on entropy-based Markov model," Journal of Risk and Reliability, , vol. 230(6), pages 561-569, December.
    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. Xu Chen & Shuai Fang & Kangji Li, 2023. "Reinforcement-Learning-Based Multi-Objective Differential Evolution Algorithm for Large-Scale Combined Heat and Power Economic Emission Dispatch," Energies, MDPI, vol. 16(9), pages 1-23, April.

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