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Coordinated management of centralized and distributed generation in an integrated energy system using a multi-agent approach

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  • Stennikov, Valery
  • Barakhtenko, Evgeny
  • Mayorov, Gleb
  • Sokolov, Dmitry
  • Zhou, Bin

Abstract

The creation of intelligent integrated energy systems with active consumers and distributed control functions, using renewable energy sources together with conventional generation, is a promising alternative to the existing conventional energy systems of a hierarchical structure. At the same time, such systems face the challenge of the balance between centralized and distributed energy generation. One should take into account the ratio of energy supplied to the system from distributed sources to that from centralized sources because, otherwise, energy sources can operate inefficiently, which in turn will increase the cost of energy production and can cause problems in the operation of energy equipment and the energy system as a whole. This necessitates the harmonization of operating conditions of centralized and distributed energy resources. The multi-agent approach is oftentimes used to model an integrated energy system; it allows such a technologically complex system to be represented as a set of agents with their own individual behavior. Agents interact with each other to find and optimize solutions and achieve the goals they set within the system. The proposed multi-agent model of the real-life energy supply system of a residential area (with centralized and distributed energy resources) was implemented in a specialized software environment. Computational studies of the integrated energy system conducted using the multi-agent model developed by the authors allowed us to formulate the principles of interaction between centralized and distributed energy generation.

Suggested Citation

  • Stennikov, Valery & Barakhtenko, Evgeny & Mayorov, Gleb & Sokolov, Dmitry & Zhou, Bin, 2022. "Coordinated management of centralized and distributed generation in an integrated energy system using a multi-agent approach," Applied Energy, Elsevier, vol. 309(C).
    • Handle: RePEc:eee:appene:v:309:y:2022:i:c:s0306261921017086
    DOI: 10.1016/j.apenergy.2021.118487
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    References listed on IDEAS

    as
    1. Ren, Yi & Fan, Dongming & Feng, Qiang & Wang, Zili & Sun, Bo & Yang, Dezhen, 2019. "Agent-based restoration approach for reliability with load balancing on smart grids," Applied Energy, Elsevier, vol. 249(C), pages 46-57.
    2. Leithon, Johann & Werner, Stefan & Koivunen, Visa, 2020. "Cost-aware renewable energy management: Centralized vs. distributed generation," Renewable Energy, Elsevier, vol. 147(P1), pages 1164-1179.
    3. Carvallo, Juan Pablo & Zhang, Nan & Murphy, Sean P. & Leibowicz, Benjamin D. & Larsen, Peter H., 2020. "The economic value of a centralized approach to distributed resource investment and operation," Applied Energy, Elsevier, vol. 269(C).
    4. Yuan, Zhao & Hesamzadeh, Mohammad Reza, 2017. "Hierarchical coordination of TSO-DSO economic dispatch considering large-scale integration of distributed energy resources," Applied Energy, Elsevier, vol. 195(C), pages 600-615.
    5. Ferreira, Willian M. & Meneghini, Ivan R. & Brandao, Danilo I. & Guimarães, Frederico G., 2020. "Preference cone based multi-objective evolutionary algorithm applied to optimal management of distributed energy resources in microgrids," Applied Energy, Elsevier, vol. 274(C).
    6. Anvari-Moghaddam, Amjad & Rahimi-Kian, Ashkan & Mirian, Maryam S. & Guerrero, Josep M., 2017. "A multi-agent based energy management solution for integrated buildings and microgrid system," Applied Energy, Elsevier, vol. 203(C), pages 41-56.
    7. Nemati, Mohsen & Braun, Martin & Tenbohlen, Stefan, 2018. "Optimization of unit commitment and economic dispatch in microgrids based on genetic algorithm and mixed integer linear programming," Applied Energy, Elsevier, vol. 210(C), pages 944-963.
    8. Liu, Guodong & Jiang, Tao & Ollis, Thomas B. & Zhang, Xiaohu & Tomsovic, Kevin, 2019. "Distributed energy management for community microgrids considering network operational constraints and building thermal dynamics," Applied Energy, Elsevier, vol. 239(C), pages 83-95.
    9. Shi, Ye & Tuan, Hoang Duong & Savkin, Andrey V. & Lin, Chin-Teng & Zhu, Jian Guo & Poor, H. Vincent, 2021. "Distributed model predictive control for joint coordination of demand response and optimal power flow with renewables in smart grid," Applied Energy, Elsevier, vol. 290(C).
    10. Wang, Zibo & Yu, Xiaodan & Mu, Yunfei & Jia, Hongjie, 2020. "A distributed Peer-to-Peer energy transaction method for diversified prosumers in Urban Community Microgrid System," Applied Energy, Elsevier, vol. 260(C).
    11. Oskouei, Morteza Zare & Mohammadi-Ivatloo, Behnam & Abapour, Mehdi & Shafiee, Mahmood & Anvari-Moghaddam, Amjad, 2021. "Privacy-preserving mechanism for collaborative operation of high-renewable power systems and industrial energy hubs," Applied Energy, Elsevier, vol. 283(C).
    12. N. I. Voropai & V. A. Stennikov & E. A. Barakhtenko, 2017. "Integrated energy systems: Challenges, trends, philosophy," Studies on Russian Economic Development, Springer, vol. 28(5), pages 492-499, September.
    13. Song, Xiaoling & Wang, Yudong & Zhang, Zhe & Shen, Charles & Peña-Mora, Feniosky, 2021. "Economic-environmental equilibrium-based bi-level dispatch strategy towards integrated electricity and natural gas systems," Applied Energy, Elsevier, vol. 281(C).
    14. Orehounig, Kristina & Evins, Ralph & Dorer, Viktor, 2015. "Integration of decentralized energy systems in neighbourhoods using the energy hub approach," Applied Energy, Elsevier, vol. 154(C), pages 277-289.
    15. Bünning, Felix & Wetter, Michael & Fuchs, Marcus & Müller, Dirk, 2018. "Bidirectional low temperature district energy systems with agent-based control: Performance comparison and operation optimization," Applied Energy, Elsevier, vol. 209(C), pages 502-515.
    16. Chen, Changming & Wu, Xueyan & Li, Yan & Zhu, Xiaojun & Li, Zesen & Ma, Jien & Qiu, Weiqiang & Liu, Chang & Lin, Zhenzhi & Yang, Li & Wang, Qin & Ding, Yi, 2021. "Distributionally robust day-ahead scheduling of park-level integrated energy system considering generalized energy storages," Applied Energy, Elsevier, vol. 302(C).
    17. Ruggiero, Salvatore & Varho, Vilja & Rikkonen, Pasi, 2015. "Transition to distributed energy generation in Finland: Prospects and barriers," Energy Policy, Elsevier, vol. 86(C), pages 433-443.
    18. Zhou, Xiaoqian & Ai, Qian & Yousif, Muhammad, 2019. "Two kinds of decentralized robust economic dispatch framework combined distribution network and multi-microgrids," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    19. Liu, Wen Hui & Ho, Wai Shin & Lee, Ming Yang & Hashim, Haslenda & Lim, Jeng Shiun & Klemeš, Jiří J. & Mah, Angel Xin Yee, 2019. "Development and optimization of an integrated energy network with centralized and decentralized energy systems using mathematical modelling approach," Energy, Elsevier, vol. 183(C), pages 617-629.
    20. Martín-Martínez, F. & Sánchez-Miralles, A. & Rivier, M. & Calvillo, C.F., 2017. "Centralized vs distributed generation. A model to assess the relevance of some thermal and electric factors. Application to the Spanish case study," Energy, Elsevier, vol. 134(C), pages 850-863.
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