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Hybrid scheduling strategy and improved marine predator optimizer for energy scheduling in integrated energy system to enhance economic and environmental protection capability

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  • Yuwei, Liu
  • Li, Lingling
  • Jiaqi, Liu

Abstract

This study endeavors to comprehensively enhance energy efficiency and investigate the potential of integrated energy system in energy conservation and emission mitigation by proposing innovative solutions. Consequently, an optimal scheduling model has been developed. The analytic hierarchy process is employed to ascertain the weights of indicators within the model. Strategies for enhanced following heating load and enhanced following power load have been introduced, considering the energy transfer capability of the energy storage system. Furthermore, a hybrid strategy enabling flexible interchange between these two strategies has been proposed. Subsequently, an improved marine predator optimizer is proposed to solve the model, which significantly boosts solution efficiency and the capability to overcome local optima. Results indicate an overall enhancement in system performance under the proposed strategies compared to traditional approaches. The hybrid strategy particularly stands out, demonstrating superior performance with energy efficiency achieving up to 75.67 % and the comprehensive performance improvement of 5.01 % and 7.68 % compared to traditional following power load strategy and following heating load strategy. This study contributes to reducing system operating costs, energy consumption, and carbon emissions, signifying its substantial role in advancing renewable energy integration, promoting green economies, and fostering sustainable development.

Suggested Citation

  • Yuwei, Liu & Li, Lingling & Jiaqi, Liu, 2024. "Hybrid scheduling strategy and improved marine predator optimizer for energy scheduling in integrated energy system to enhance economic and environmental protection capability," Renewable Energy, Elsevier, vol. 228(C).
    • Handle: RePEc:eee:renene:v:228:y:2024:i:c:s0960148124007092
    DOI: 10.1016/j.renene.2024.120641
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    1. Kang, Ligai & Yang, Junhong & An, Qingsong & Deng, Shuai & Zhao, Jun & Wang, Hui & Li, Zelin, 2017. "Effects of load following operational strategy on CCHP system with an auxiliary ground source heat pump considering carbon tax and electricity feed in tariff," Applied Energy, Elsevier, vol. 194(C), pages 454-466.
    2. Laith Abualigah & Raed Abu Zitar & Khaled H. Almotairi & Ahmad MohdAziz Hussein & Mohamed Abd Elaziz & Mohammad Reza Nikoo & Amir H. Gandomi, 2022. "Wind, Solar, and Photovoltaic Renewable Energy Systems with and without Energy Storage Optimization: A Survey of Advanced Machine Learning and Deep Learning Techniques," Energies, MDPI, vol. 15(2), pages 1-26, January.
    3. Hasanien, Hany M. & Alsaleh, Ibrahim & Tostado-Véliz, Marcos & Zhang, Miao & Alateeq, Ayoob & Jurado, Francisco & Alassaf, Abdullah, 2024. "Hybrid particle swarm and sea horse optimization algorithm-based optimal reactive power dispatch of power systems comprising electric vehicles," Energy, Elsevier, vol. 286(C).
    4. Han, Xiaojuan & Zhang, Hua & Yu, Xiaoling & Wang, Lina, 2016. "Economic evaluation of grid-connected micro-grid system with photovoltaic and energy storage under different investment and financing models," Applied Energy, Elsevier, vol. 184(C), pages 103-118.
    5. Ghersi, Djamal Eddine & Amoura, Meriem & Loubar, Khaled & Desideri, Umberto & Tazerout, Mohand, 2021. "Multi-objective optimization of CCHP system with hybrid chiller under new electric load following operation strategy," Energy, Elsevier, vol. 219(C).
    6. Liu, Wei-Jen & Chiu, Wei-Yu & Hua, Weiqi, 2024. "Blockchain-enabled renewable energy certificate trading: A secure and privacy-preserving approach," Energy, Elsevier, vol. 290(C).
    7. Ma, Tengfei & Wu, Junyong & Hao, Liangliang & Lee, Wei-Jen & Yan, Huaguang & Li, Dezhi, 2018. "The optimal structure planning and energy management strategies of smart multi energy systems," Energy, Elsevier, vol. 160(C), pages 122-141.
    8. Yan, Yi & Zhang, Chenghui & Li, Ke & Wang, Zhen, 2018. "An integrated design for hybrid combined cooling, heating and power system with compressed air energy storage," Applied Energy, Elsevier, vol. 210(C), pages 1151-1166.
    9. Nabipour, Narjes & Daneshfar, Reza & Rezvanjou, Omid & Mohammadi-Khanaposhtani, Mohammad & Baghban, Alireza & Xiong, Qingang & Li, Larry K.B. & Habibzadeh, Sajjad & Doranehgard, Mohammad Hossein, 2020. "Estimating biofuel density via a soft computing approach based on intermolecular interactions," Renewable Energy, Elsevier, vol. 152(C), pages 1086-1098.
    10. Lorestani, A. & Ardehali, M.M., 2018. "Optimal integration of renewable energy sources for autonomous tri-generation combined cooling, heating and power system based on evolutionary particle swarm optimization algorithm," Energy, Elsevier, vol. 145(C), pages 839-855.
    11. Chen, W.D. & Shao, Y.L. & Bui, D.T. & Huang, Z.F. & Chua, K.J., 2024. "Development of novel optimal operating maps for combined cooling, heating, and power systems," Applied Energy, Elsevier, vol. 358(C).
    12. Wang, Jiangjiang & Sui, Jun & Jin, Hongguang, 2015. "An improved operation strategy of combined cooling heating and power system following electrical load," Energy, Elsevier, vol. 85(C), pages 654-666.
    13. Guo, Chenyu & Wang, Xin & Zheng, Yihui & Zhang, Feng, 2022. "Real-time optimal energy management of microgrid with uncertainties based on deep reinforcement learning," Energy, Elsevier, vol. 238(PC).
    14. Yang, Xiaohui & Liu, Kang & Leng, Zhengyang & Liu, Tao & Zhang, Liufang & Mei, Linghao, 2022. "Multi-dimensions analysis of solar hybrid CCHP systems with redundant design," Energy, Elsevier, vol. 253(C).
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