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Decentralized optimization operation for the multiple integrated energy systems with energy cascade utilization

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  • Mu, Chenlu
  • Ding, Tao
  • Qu, Ming
  • Zhou, Quan
  • Li, Fangxing
  • Shahidehpour, Mohammad

Abstract

Integrated energy systems (IESs) integrate and coordinate multiple types of energy resources, which feature enhanced energy efficiency in a wide area. Herein, energy cascading utilization technique is an effective way for multiple IESs to improve the energy utilization efficiency and reduce the operation cost by reutilizing the waste heat in the optimal dispatch model. In this paper, we focus on the small-sized IES which can refer to a plant. Here, an economic dispatch model is set up for multiple IESs to obtain an optimal dispatch decision with energy cascading utilization techniques. Furthermore, in order to preserve the privacy of participating plants, a decentralized optimization framework is proposed to solve the optimal dispatch model using an alternating direction multiplier method (ADMM), where only a limited set of information is shared among participants while convergence is guaranteed. Numerical results verify the effectiveness of the proposed model and its solution method.

Suggested Citation

  • Mu, Chenlu & Ding, Tao & Qu, Ming & Zhou, Quan & Li, Fangxing & Shahidehpour, Mohammad, 2020. "Decentralized optimization operation for the multiple integrated energy systems with energy cascade utilization," Applied Energy, Elsevier, vol. 280(C).
    • Handle: RePEc:eee:appene:v:280:y:2020:i:c:s0306261920314367
    DOI: 10.1016/j.apenergy.2020.115989
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    as
    1. Wang, Yongli & Wang, Yudong & Huang, Yujing & Yang, Jiale & Ma, Yuze & Yu, Haiyang & Zeng, Ming & Zhang, Fuwei & Zhang, Yanfu, 2019. "Operation optimization of regional integrated energy system based on the modeling of electricity-thermal-natural gas network," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    2. Li, Guoqing & Zhang, Rufeng & Jiang, Tao & Chen, Houhe & Bai, Linquan & Cui, Hantao & Li, Xiaojing, 2017. "Optimal dispatch strategy for integrated energy systems with CCHP and wind power," Applied Energy, Elsevier, vol. 192(C), pages 408-419.
    3. Yang, Sheng & Qian, Yu & Wang, Yifan & Yang, Siyu, 2017. "A novel cascade absorption heat transformer process using low grade waste heat and its application to coal to synthetic natural gas," Applied Energy, Elsevier, vol. 202(C), pages 42-52.
    4. Su, Bosheng & Han, Wei & Sui, Jun & Jin, Hongguang, 2017. "A two-stage liquid desiccant dehumidification system by the cascade utilization of low-temperature heat for industrial applications," Applied Energy, Elsevier, vol. 207(C), pages 643-653.
    5. He Huang & DaPeng Liang & Zhen Tong, 2018. "Integrated Energy Micro-Grid Planning Using Electricity, Heating and Cooling Demands," Energies, MDPI, vol. 11(10), pages 1-20, October.
    6. Liu, Peiyun & Ding, Tao & Zou, Zhixiang & Yang, Yongheng, 2019. "Integrated demand response for a load serving entity in multi-energy market considering network constraints," Applied Energy, Elsevier, vol. 250(C), pages 512-529.
    7. Bischi, Aldo & Taccari, Leonardo & Martelli, Emanuele & Amaldi, Edoardo & Manzolini, Giampaolo & Silva, Paolo & Campanari, Stefano & Macchi, Ennio, 2014. "A detailed MILP optimization model for combined cooling, heat and power system operation planning," Energy, Elsevier, vol. 74(C), pages 12-26.
    8. Yang, Sheng & Yang, Siyu & Wang, Yifan & Qian, Yu, 2017. "Low grade waste heat recovery with a novel cascade absorption heat transformer," Energy, Elsevier, vol. 130(C), pages 461-472.
    9. Afzali, Sayyed Faridoddin & Mahalec, Vladimir, 2018. "Novel performance curves to determine optimal operation of CCHP systems," Applied Energy, Elsevier, vol. 226(C), pages 1009-1036.
    10. Gu, Wei & Wang, Jun & Lu, Shuai & Luo, Zhao & Wu, Chenyu, 2017. "Optimal operation for integrated energy system considering thermal inertia of district heating network and buildings," Applied Energy, Elsevier, vol. 199(C), pages 234-246.
    11. Han, Wei & Sun, Liuli & Zheng, Danxing & Jin, Hongguang & Ma, Sijun & Jing, Xuye, 2013. "New hybrid absorption–compression refrigeration system based on cascade use of mid-temperature waste heat," Applied Energy, Elsevier, vol. 106(C), pages 383-390.
    12. Jin, Ming & Feng, Wei & Marnay, Chris & Spanos, Costas, 2018. "Microgrid to enable optimal distributed energy retail and end-user demand response," Applied Energy, Elsevier, vol. 210(C), pages 1321-1335.
    13. Gao, Penghui & Dai, Yanjun & Tong, YenWah & Dong, Pengwei, 2015. "Energy matching and optimization analysis of waste to energy CCHP (combined cooling, heating and power) system with exergy and energy level," Energy, Elsevier, vol. 79(C), pages 522-535.
    14. Gu, Wei & Lu, Shuai & Wu, Zhi & Zhang, Xuesong & Zhou, Jinhui & Zhao, Bo & Wang, Jun, 2017. "Residential CCHP microgrid with load aggregator: Operation mode, pricing strategy, and optimal dispatch," Applied Energy, Elsevier, vol. 205(C), pages 173-186.
    15. Zhang, Zhihui & Jing, Rui & Lin, Jian & Wang, Xiaonan & van Dam, Koen H. & Wang, Meng & Meng, Chao & Xie, Shan & Zhao, Yingru, 2020. "Combining agent-based residential demand modeling with design optimization for integrated energy systems planning and operation," Applied Energy, Elsevier, vol. 263(C).
    16. Bo Tang & Gangfeng Gao & Xiangwu Xia & Xiu Yang, 2018. "Integrated Energy System Configuration Optimization for Multi-Zone Heat-Supply Network Interaction," Energies, MDPI, vol. 11(11), pages 1-18, November.
    17. Wang, Xuan & Jin, Ming & Feng, Wei & Shu, Gequn & Tian, Hua & Liang, Youcai, 2018. "Cascade energy optimization for waste heat recovery in distributed energy systems," Applied Energy, Elsevier, vol. 230(C), pages 679-695.
    18. Chen, Min & Lund, Henrik & Rosendahl, Lasse A. & Condra, Thomas J., 2010. "Energy efficiency analysis and impact evaluation of the application of thermoelectric power cycle to today's CHP systems," Applied Energy, Elsevier, vol. 87(4), pages 1231-1238, April.
    19. Tian, Nianfeng & Ding, Tao & Yang, Yongheng & Guo, Qinglai & Sun, Hongbin & Blaabjerg, Frede, 2018. "Confidentiality preservation in user-side integrated energy system management for cloud computing," Applied Energy, Elsevier, vol. 231(C), pages 1230-1245.
    20. Zheng, Xuyue & Wu, Guoce & Qiu, Yuwei & Zhan, Xiangyan & Shah, Nilay & Li, Ning & Zhao, Yingru, 2018. "A MINLP multi-objective optimization model for operational planning of a case study CCHP system in urban China," Applied Energy, Elsevier, vol. 210(C), pages 1126-1140.
    21. Qu, Kaiping & Yu, Tao & Huang, Linni & Yang, Bo & Zhang, Xiaoshun, 2018. "Decentralized optimal multi-energy flow of large-scale integrated energy systems in a carbon trading market," Energy, Elsevier, vol. 149(C), pages 779-791.
    22. Wang, Lang & Lu, Jianfeng & Wang, Weilong & Ding, Jing, 2016. "Energy, environmental and economic evaluation of the CCHP systems for a remote island in south of China," Applied Energy, Elsevier, vol. 183(C), pages 874-883.
    23. Yang, Mina & Lee, Seung Yeob & Chung, Jin Taek & Kang, Yong Tae, 2017. "High efficiency H2O/LiBr double effect absorption cycles with multi-heat sources for tri-generation application," Applied Energy, Elsevier, vol. 187(C), pages 243-254.
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