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Daily hydrothermal scheduling with economic emission using simulated annealing technique based multi-objective cultural differential evolution approach

Author

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  • Zhang, Huifeng
  • Zhou, Jianzhong
  • Fang, Na
  • Zhang, Rui
  • Zhang, Yongchuan

Abstract

This paper develops a simulated annealing based multi-objective cultural differential evolution (SA-MOCDE) for solving daily hydrothermal operation scheduling with economic emission (SHOSEE) while considering water transport delay and transmission loss of system load, and it is formulated for optimizing thermal cost and emission issue with complex non-convex constraints. The simulated annealing technique is integrated into the multi-objective differential computation model motivated by redesigned cultural knowledge structures, and it can be used to avoid the premature convergence by properly controlling the population space evolution. For testifying the convergence ability and diversity distribution of the proposed algorithm, various benchmark functions are used to verify the stable efficiency of complex constraint-handling and high-dimensional search ability. The implementation of the proposed SA-MOCDE on SHOSEE problem proves that more desirable fuel cost and emission cost are obtained by SA-MOCDE in comparison to other established method recently, and the analysis on the running performance of convergence and diversity metric also reveals that SA-MOCDE can be a promising alternative for solving SHOSEE problem.

Suggested Citation

  • Zhang, Huifeng & Zhou, Jianzhong & Fang, Na & Zhang, Rui & Zhang, Yongchuan, 2013. "Daily hydrothermal scheduling with economic emission using simulated annealing technique based multi-objective cultural differential evolution approach," Energy, Elsevier, vol. 50(C), pages 24-37.
    • Handle: RePEc:eee:energy:v:50:y:2013:i:c:p:24-37
    DOI: 10.1016/j.energy.2012.12.001
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    References listed on IDEAS

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    5. Hickman, William & Muzhikyan, Aramazd & Farid, Amro M., 2017. "The synergistic role of renewable energy integration into the unit commitment of the energy water nexus," Renewable Energy, Elsevier, vol. 108(C), pages 220-229.
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    8. Santhosh, Apoorva & Farid, Amro M. & Youcef-Toumi, Kamal, 2014. "The impact of storage facility capacity and ramping capabilities on the supply side economic dispatch of the energy–water nexus," Energy, Elsevier, vol. 66(C), pages 363-377.
    9. Feng, Zhong-kai & Niu, Wen-jing & Cheng, Chun-tian, 2018. "Optimal allocation of hydropower and hybrid electricity injected from inter-regional transmission lines among multiple receiving-end power grids in China," Energy, Elsevier, vol. 162(C), pages 444-452.
    10. Feng, Zhong-kai & Niu, Wen-jing & Wang, Sen & Cheng, Chun-tian & Jiang, Zhi-qiang & Qin, Hui & Liu, Yi, 2018. "Developing a successive linear programming model for head-sensitive hydropower system operation considering power shortage aspect," Energy, Elsevier, vol. 155(C), pages 252-261.
    11. Santhosh, Apoorva & Farid, Amro M. & Youcef-Toumi, Kamal, 2014. "Real-time economic dispatch for the supply side of the energy-water nexus," Applied Energy, Elsevier, vol. 122(C), pages 42-52.
    12. Tang, Xiongmin & Li, Zhengshuo & Xu, Xuancong & Zeng, Zhijun & Jiang, Tianhong & Fang, Wenrui & Meng, Anbo, 2022. "Multi-objective economic emission dispatch based on an extended crisscross search optimization algorithm," Energy, Elsevier, vol. 244(PA).
    13. Zhang, Jingrui & Lin, Shuang & Liu, Houde & Chen, Yalin & Zhu, Mingcheng & Xu, Yinliang, 2017. "A small-population based parallel differential evolution algorithm for short-term hydrothermal scheduling problem considering power flow constraints," Energy, Elsevier, vol. 123(C), pages 538-554.
    14. Nazari-Heris, M. & Mohammadi-Ivatloo, B. & Haghrah, A., 2017. "Optimal short-term generation scheduling of hydrothermal systems by implementation of real-coded genetic algorithm based on improved Mühlenbein mutation," Energy, Elsevier, vol. 128(C), pages 77-85.
    15. Goudarzi, Arman & Swanson, Andrew G. & Van Coller, John & Siano, Pierluigi, 2017. "Smart real-time scheduling of generating units in an electricity market considering environmental aspects and physical constraints of generators," Applied Energy, Elsevier, vol. 189(C), pages 667-696.
    16. Gong, Wenyin & Yan, Xuesong & Liu, Xiaobo & Cai, Zhihua, 2015. "Parameter extraction of different fuel cell models with transferred adaptive differential evolution," Energy, Elsevier, vol. 86(C), pages 139-151.
    17. Gong, Wenyin & Cai, Zhihua, 2013. "Accelerating parameter identification of proton exchange membrane fuel cell model with ranking-based differential evolution," Energy, Elsevier, vol. 59(C), pages 356-364.
    18. Soroudi, Alireza, 2013. "Robust optimization based self scheduling of hydro-thermal Genco in smart grids," Energy, Elsevier, vol. 61(C), pages 262-271.
    19. Glotić, Arnel & Glotić, Adnan & Kitak, Peter & Pihler, Jože & Tičar, Igor, 2014. "Optimization of hydro energy storage plants by using differential evolution algorithm," Energy, Elsevier, vol. 77(C), pages 97-107.
    20. Nazari-Heris, M. & Mohammadi-Ivatloo, B. & B. Gharehpetian, G., 2017. "Short-term scheduling of hydro-based power plants considering application of heuristic algorithms: A comprehensive review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 116-129.
    21. Tejada-Arango, Diego A. & Wogrin, Sonja & Siddiqui, Afzal S. & Centeno, Efraim, 2019. "Opportunity cost including short-term energy storage in hydrothermal dispatch models using a linked representative periods approach," Energy, Elsevier, vol. 188(C).
    22. Chen, Fang & Zhou, Jianzhong & Wang, Chao & Li, Chunlong & Lu, Peng, 2017. "A modified gravitational search algorithm based on a non-dominated sorting genetic approach for hydro-thermal-wind economic emission dispatching," Energy, Elsevier, vol. 121(C), pages 276-291.
    23. Feng, Zhong-kai & Niu, Wen-jing & Cheng, Chun-tian & Wu, Xin-yu, 2017. "Optimization of hydropower system operation by uniform dynamic programming for dimensionality reduction," Energy, Elsevier, vol. 134(C), pages 718-730.

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