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Coordination for regional integrated energy system through target cascade optimization

Author

Listed:
  • Gao, Yang
  • Ai, Qian
  • He, Xing
  • Fan, Songli

Abstract

With the deepening of the coupling between electric, gas, and thermal energy systems, traditional relatively independent energy systems are evolving towards an integrated energy system with multi-energy complementarity and multiple interactions. In order to improve the comprehensive utilization of distributed renewable energy, many multi-energy conversion devices have been introduced into the system. However, this increases the possibility of disorderly and recurrent conversion of renewable energy, resulting in a large amount of energy loss.

Suggested Citation

  • Gao, Yang & Ai, Qian & He, Xing & Fan, Songli, 2023. "Coordination for regional integrated energy system through target cascade optimization," Energy, Elsevier, vol. 276(C).
  • Handle: RePEc:eee:energy:v:276:y:2023:i:c:s0360544223010009
    DOI: 10.1016/j.energy.2023.127606
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    References listed on IDEAS

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    1. Cao, Wenzhi & Xiao, Jiang-Wen & Cui, Shi-Chang & Liu, Xiao-Kang, 2022. "An efficient and economical storage and energy sharing model for multiple multi-energy microgrids," Energy, Elsevier, vol. 244(PB).
    2. Qiu, Haifeng & You, Fengqi, 2020. "Decentralized-distributed robust electric power scheduling for multi-microgrid systems," Applied Energy, Elsevier, vol. 269(C).
    3. Pan, Chongchao & Jin, Tai & Li, Na & Wang, Guanxiong & Hou, Xiaowang & Gu, Yueqing, 2023. "Multi-objective and two-stage optimization study of integrated energy systems considering P2G and integrated demand responses," Energy, Elsevier, vol. 270(C).
    4. Dey, Bishwajit & Misra, Srikant & Garcia Marquez, Fausto Pedro, 2023. "Microgrid system energy management with demand response program for clean and economical operation," Applied Energy, Elsevier, vol. 334(C).
    5. Li, Yanbin & Zhang, Feng & Li, Yun & Wang, Yuwei, 2021. "An improved two-stage robust optimization model for CCHP-P2G microgrid system considering multi-energy operation under wind power outputs uncertainties," Energy, Elsevier, vol. 223(C).
    6. Chen, J.J. & Qi, B.X. & Rong, Z.K. & Peng, K. & Zhao, Y.L. & Zhang, X.H., 2021. "Multi-energy coordinated microgrid scheduling with integrated demand response for flexibility improvement," Energy, Elsevier, vol. 217(C).
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