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Enhanced heap-based optimization algorithm for dynamic economic dispatch considering electric vehicle charging integration

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  • Chen, Xu
  • Zhang, Zhixiang

Abstract

With the integration of electric vehicles (EVs) into the power system, the uncoordinated charging behaviors of EVs significantly increase the complexity of the dynamic economic dispatch problem. In this paper, we establish a mathematical model for dynamic economic dispatch with EV charging (EVDED). To address the shortcomings of existing optimization algorithms, such as slow convergence and low accuracy in solving the EVDED problem, we propose an improved heap-based optimization algorithm called RDHBO. RDHBO incorporates an optimal member region search strategy and a dual population interaction strategy. The former helps guide the optimal member toward more promising regions, improving both convergence speed and accuracy. The latter makes full use of information from eliminated individuals, enriching population diversity and avoiding local optima. We apply the RDHBO algorithm to solve three EVDED problems involving 10, 30, and 100 units under four different charging scenarios. Experimental results show that RDHBO outperforms several representative optimization methods in generating low fuel costs.

Suggested Citation

  • Chen, Xu & Zhang, Zhixiang, 2025. "Enhanced heap-based optimization algorithm for dynamic economic dispatch considering electric vehicle charging integration," Energy, Elsevier, vol. 324(C).
    • Handle: RePEc:eee:energy:v:324:y:2025:i:c:s036054422501597x
    DOI: 10.1016/j.energy.2025.135955
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    1. Mohammadi-ivatloo, Behnam & Rabiee, Abbas & Soroudi, Alireza & Ehsan, Mehdi, 2012. "Imperialist competitive algorithm for solving non-convex dynamic economic power dispatch," Energy, Elsevier, vol. 44(1), pages 228-240.
    2. Hu, Zhongbo & Dai, Canyun & Su, Qinghua, 2022. "Adaptive backtracking search optimization algorithm with a dual-learning strategy for dynamic economic dispatch with valve-point effects," Energy, Elsevier, vol. 248(C).
    3. Zou, Dexuan & Li, Steven & Kong, Xiangyong & Ouyang, Haibin & Li, Zongyan, 2018. "Solving the dynamic economic dispatch by a memory-based global differential evolution and a repair technique of constraint handling," Energy, Elsevier, vol. 147(C), pages 59-80.
    4. Ma, Haiping & Yang, Zhile & You, Pengcheng & Fei, Minrui, 2017. "Multi-objective biogeography-based optimization for dynamic economic emission load dispatch considering plug-in electric vehicles charging," Energy, Elsevier, vol. 135(C), pages 101-111.
    5. McLarty, Dustin & Panossian, Nadia & Jabbari, Faryar & Traverso, Alberto, 2019. "Dynamic economic dispatch using complementary quadratic programming," Energy, Elsevier, vol. 166(C), pages 755-764.
    6. Loau Al-Bahrani & Mehdi Seyedmahmoudian & Ben Horan & Alex Stojcevski, 2021. "Solving the Real Power Limitations in the Dynamic Economic Dispatch of Large-Scale Thermal Power Units under the Effects of Valve-Point Loading and Ramp-Rate Limitations," Sustainability, MDPI, vol. 13(3), pages 1-26, January.
    7. Huang, Congzhi & Li, Zhuoyong, 2023. "Data-driven modeling of ultra-supercritical unit coordinated control system by improved transformer network," Energy, Elsevier, vol. 266(C).
    8. Gong, Yujian & Wang, Zuo & Lai, Zeyu & Jiang, Minlin, 2021. "TVACPSO-assisted analysis of the effects of temperature and irradiance on the PV module performances," Energy, Elsevier, vol. 227(C).
    9. Meng, Anbo & Hu, Hanwu & Yin, Hao & Peng, Xiangang & Guo, Zhuangzhi, 2015. "Crisscross optimization algorithm for large-scale dynamic economic dispatch problem with valve-point effects," Energy, Elsevier, vol. 93(P2), pages 2175-2190.
    10. Liming Sun & Mengnan Liu & Zhipeng Wang & Chuqiao Wang & Fuqiang Luo, 2023. "Research on Load Spectrum Reconstruction Method of Exhaust System Mounting Bracket of a Hybrid Tractor Based on MOPSO-Wavelet Decomposition Technique," Agriculture, MDPI, vol. 13(10), pages 1-18, September.
    11. Dai, Canyun & Hu, Zhongbo & Su, Qinghua, 2022. "An adaptive hybrid backtracking search optimization algorithm for dynamic economic dispatch with valve-point effects," Energy, Elsevier, vol. 239(PE).
    12. Rizk-Allah, Rizk M. & El-Fergany, Attia A., 2021. "Emended heap-based optimizer for characterizing performance of industrial solar generating units using triple-diode model," Energy, Elsevier, vol. 237(C).
    13. Al-Bahrani, Loau Tawfak & Horan, Ben & Seyedmahmoudian, Mehdi & Stojcevski, Alex, 2020. "Dynamic economic emission dispatch with load dema nd management for the load demand of electric vehicles during crest shaving and valley filling in smart cities environment," Energy, Elsevier, vol. 195(C).
    14. Shaheen, Abdullah M. & El-Sehiemy, Ragab A. & Hasanien, Hany M. & Ginidi, Ahmed R., 2022. "An improved heap optimization algorithm for efficient energy management based optimal power flow model," Energy, Elsevier, vol. 250(C).
    15. Yiyuan Pang & Hong Li & Pan Tang & Chao Chen, 2022. "Synchronization Optimization of Pipe Diameter and Operation Frequency in a Pressurized Irrigation Network Based on the Genetic Algorithm," Agriculture, MDPI, vol. 12(5), pages 1-16, May.
    16. Foley, Aoife & Tyther, Barry & Calnan, Patrick & Ó Gallachóir, Brian, 2013. "Impacts of Electric Vehicle charging under electricity market operations," Applied Energy, Elsevier, vol. 101(C), pages 93-102.
    17. Xiong, Guojiang & Shi, Dongyuan, 2018. "Hybrid biogeography-based optimization with brain storm optimization for non-convex dynamic economic dispatch with valve-point effects," Energy, Elsevier, vol. 157(C), pages 424-435.
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