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A Robust Economic Framework for Integrated Energy Systems Based on Hybrid Shuffled Frog-Leaping and Local Search Algorithm

Author

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  • Ahmed N. Abdalla

    (Faculty of Electronic and Information Engineering, Huaiyin Institute of Technology, Huai’an 223003, China)

  • Yongfeng Ju

    (Faculty of Electronic and Information Engineering, Huaiyin Institute of Technology, Huai’an 223003, China)

  • Muhammad Shahzad Nazir

    (Faculty of Automation, Huaiyin Institute of Technology, Huai’an 223003, China)

  • Hai Tao

    (School of Computer and Information, Qiannan Normal University for Nationalities, Duyun 558000, China)

Abstract

The safe and efficient operation of the integrated energy system is severely hampered by a number of unpredictable elements, such as the output of renewable energy sources, the cost of energy purchases, and full demand response (IES). The effectiveness and excellence of the integrated energy system scheduling method can be increased with advanced modeling of unpredictable aspects. Thus, the IES robust stochastic optimisation model is constructed and solved with the hybrid shuffled frog-leaping and local search (HSFLA–LS) algorithm. Finally, a simulation analysis considering the uncertainty of energy purchase price based on the hybrid SFLA–LS algorithm is reduced by USD 1.63 (0.64%) and USD 3.34 (1.3%), compared to PSO and GA, respectively. In addition, the time taken to execute the SFLA–LS algorithm for the program is reduced by 1.886 s (1.59%), and 3.117 s (2.7%), compared to PSO and GA, respectively. The findings demonstrate that the suggested approach can lower system running expenses, and achieve the coordination and optimization of economy and robustness.

Suggested Citation

  • Ahmed N. Abdalla & Yongfeng Ju & Muhammad Shahzad Nazir & Hai Tao, 2022. "A Robust Economic Framework for Integrated Energy Systems Based on Hybrid Shuffled Frog-Leaping and Local Search Algorithm," Sustainability, MDPI, vol. 14(17), pages 1-16, August.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:17:p:10660-:d:898778
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    References listed on IDEAS

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    Cited by:

    1. Lucio Laureti & Alessandro Massaro & Alberto Costantiello & Angelo Leogrande, 2023. "The Impact of Renewable Electricity Output on Sustainability in the Context of Circular Economy: A Global Perspective," Sustainability, MDPI, vol. 15(3), pages 1-29, January.
    2. Xiang, Leijun & Lin, Qichao & Zhu, Shanying & Gao, Minkun, 2024. "Extended matrix modeling of integrated energy systems considering network dynamic characteristics and source–load uncertainty," Energy, Elsevier, vol. 312(C).
    3. Chunbo Li & Yuwei Dong & Xuelong Fu & Yalan Zhang & Juan Du, 2022. "Optimal Scheduling of Distributed Energy System for Home Energy Management System Based on Dynamic Coyote Search Algorithm," Sustainability, MDPI, vol. 14(22), pages 1-12, November.
    4. Kumaran Kadirgama & Omar I. Awad & M. N. Mohammed & Hai Tao & Ali A. H. Karah Bash, 2023. "Sustainable Green Energy Management: Optimizing Scheduling of Multi-Energy Systems Considered Energy Cost and Emission Using Attractive Repulsive Shuffled Frog-Leaping," Sustainability, MDPI, vol. 15(14), pages 1-19, July.
    5. Riyadh Kamil Chillab & Aqeel S. Jaber & Mouna Ben Smida & Anis Sakly, 2023. "Optimal DG Location and Sizing to Minimize Losses and Improve Voltage Profile Using Garra Rufa Optimization," Sustainability, MDPI, vol. 15(2), pages 1-13, January.

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