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Optimal dispatching strategy of regional micro energy system with compressed air energy storage

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  • Ma, Xin
  • Zhang, Chenghui
  • Li, Ke
  • Li, Fan
  • Wang, Haiyang
  • Chen, Jianfei

Abstract

The regional micro energy system (RMES) can meet users’ multi-energy demand and realize the accommodation of renewable energy, which makes it a very promising energy utilization scheme. This paper presents a novel RMES structure with compressed air energy storage system (CAES) as the core energy storage component. Additionally, a bi-level optimal dispatching strategy for realizing the balance between supply and demand in regional micro energy system with compressed air energy storage system is proposed for the new scheme. The upper layer optimization calculates the optimal initial value of energy state of CAES in each energy supply cycle, and the lower layer optimizes the hourly operation strategy based on the thermoeconomic characteristics. An improved thermoeconomics method was introduced to reduce the dimensionality of the optimization model and increase the computational efficiency. The addition of parallel computing methods further accelerates the model calculation speed. Case studies demonstrate the effectiveness of the method. The proposed dispatching strategy based on thermoeconomics provides theoretical support for the application of CAES in multi-energy utilization scenarios, and provides a reference for the calculation of the revenue and payback period of the RMES.

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  • Ma, Xin & Zhang, Chenghui & Li, Ke & Li, Fan & Wang, Haiyang & Chen, Jianfei, 2020. "Optimal dispatching strategy of regional micro energy system with compressed air energy storage," Energy, Elsevier, vol. 212(C).
    • Handle: RePEc:eee:energy:v:212:y:2020:i:c:s0360544220316650
    DOI: 10.1016/j.energy.2020.118557
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    1. Elbasuony, Ghada S. & Abdel Aleem, Shady H.E. & Ibrahim, Ahmed M. & Sharaf, Adel M., 2018. "A unified index for power quality evaluation in distributed generation systems," Energy, Elsevier, vol. 149(C), pages 607-622.
    2. da Silva, Julio Augusto Mendes & Santos, José Joaquim Conceição Soares & Carvalho, Monica & de Oliveira, Silvio, 2017. "On the thermoeconomic and LCA methods for waste and fuel allocation in multiproduct systems," Energy, Elsevier, vol. 127(C), pages 775-785.
    3. Haisheng Chen & Xinjing Zhang & Jinchao Liu & Chunqing Tan, 2013. "Compressed Air Energy Storage," Chapters, in: Ahmed F. Zobaa (ed.), Energy Storage - Technologies and Applications, IntechOpen.
    4. Jiang, Yibo & Xu, Jian & Sun, Yuanzhang & Wei, Congying & Wang, Jing & Liao, Siyang & Ke, Deping & Li, Xiong & Yang, Jun & Peng, Xiaotao, 2018. "Coordinated operation of gas-electricity integrated distribution system with multi-CCHP and distributed renewable energy sources," Applied Energy, Elsevier, vol. 211(C), pages 237-248.
    5. Steven Chu & Arun Majumdar, 2012. "Opportunities and challenges for a sustainable energy future," Nature, Nature, vol. 488(7411), pages 294-303, August.
    6. Mathiesen, B.V. & Lund, H. & Connolly, D. & Wenzel, H. & Østergaard, P.A. & Möller, B. & Nielsen, S. & Ridjan, I. & Karnøe, P. & Sperling, K. & Hvelplund, F.K., 2015. "Smart Energy Systems for coherent 100% renewable energy and transport solutions," Applied Energy, Elsevier, vol. 145(C), pages 139-154.
    7. Facci, Andrea L. & Sánchez, David & Jannelli, Elio & Ubertini, Stefano, 2015. "Trigenerative micro compressed air energy storage: Concept and thermodynamic assessment," Applied Energy, Elsevier, vol. 158(C), pages 243-254.
    8. Zhao, Pan & Gao, Lin & Wang, Jiangfeng & Dai, Yiping, 2016. "Energy efficiency analysis and off-design analysis of two different discharge modes for compressed air energy storage system using axial turbines," Renewable Energy, Elsevier, vol. 85(C), pages 1164-1177.
    9. Safaei, Hossein & Keith, David W. & Hugo, Ronald J., 2013. "Compressed air energy storage (CAES) with compressors distributed at heat loads to enable waste heat utilization," Applied Energy, Elsevier, vol. 103(C), pages 165-179.
    10. Lozano, M.A. & Valero, A., 1993. "Theory of the exergetic cost," Energy, Elsevier, vol. 18(9), pages 939-960.
    11. Jabari, Farkhondeh & Nojavan, Sayyad & Mohammadi Ivatloo, Behnam, 2016. "Designing and optimizing a novel advanced adiabatic compressed air energy storage and air source heat pump based μ-Combined Cooling, heating and power system," Energy, Elsevier, vol. 116(P1), pages 64-77.
    12. Venkataramani, Gayathri & Vijayamithran, Pranesh & Li, Yongliang & Ding, Yulong & Chen, Haisheng & Ramalingam, Velraj, 2019. "Thermodynamic analysis on compressed air energy storage augmenting power / polygeneration for roundtrip efficiency enhancement," Energy, Elsevier, vol. 180(C), pages 107-120.
    13. Ferreira, Helder Lopes & Garde, Raquel & Fulli, Gianluca & Kling, Wil & Lopes, Joao Pecas, 2013. "Characterisation of electrical energy storage technologies," Energy, Elsevier, vol. 53(C), pages 288-298.
    14. Han, Zhonghe & Guo, Senchuang, 2018. "Investigation of operation strategy of combined cooling, heating and power(CCHP) system based on advanced adiabatic compressed air energy storage," Energy, Elsevier, vol. 160(C), pages 290-308.
    15. Jiang, Runhua & Qin, Frank G.F. & Chen, Baiman & Yang, Xiaoping & Yin, Huibin & Xu, Yongjun, 2019. "Thermodynamic performance analysis, assessment and comparison of an advanced trigenerative compressed air energy storage system under different operation strategies," Energy, Elsevier, vol. 186(C).
    16. Li, Yongliang & Wang, Xiang & Li, Dacheng & Ding, Yulong, 2012. "A trigeneration system based on compressed air and thermal energy storage," Applied Energy, Elsevier, vol. 99(C), pages 316-323.
    17. Sciacovelli, Adriano & Li, Yongliang & Chen, Haisheng & Wu, Yuting & Wang, Jihong & Garvey, Seamus & Ding, Yulong, 2017. "Dynamic simulation of Adiabatic Compressed Air Energy Storage (A-CAES) plant with integrated thermal storage – Link between components performance and plant performance," Applied Energy, Elsevier, vol. 185(P1), pages 16-28.
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