IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v11y2018i12p3260-d184976.html
   My bibliography  Save this article

A Study on the Multi-Agent Based Comprehensive Benefits Simulation Analysis and Synergistic Optimization Strategy of Distributed Energy in China

Author

Listed:
  • Xiaohua Song

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China
    Beijing Key Laboratory of New Energy and Low-Carbon Development, North China Electric Power University, Beijing 102206, China)

  • Mengdi Shu

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China)

  • Yimeng Wei

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China)

  • Jinpeng Liu

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China
    Beijing Key Laboratory of New Energy and Low-Carbon Development, North China Electric Power University, Beijing 102206, China)

Abstract

With the economic and social development of China, the continuous growth of the energy demand is the trend for now and the future. As a consequence, distributed energy, especially distributed electricity power generation, has received more and more attention. Thus, the scale and utilization level of distributed energy has been continuously improved. However, due to the limitations of current technologies, resources, policies and other issues, the comprehensive benefits and synergy levels of energy sources need to be greatly enhanced. Based on the system dynamics model, this paper examines the factors affecting the comprehensive benefits of distributed energy in China, screens the key subjects, and using the literature review method, combined with the existing literature analysis, constructs a comprehensive benefit evaluation index system and evaluates the comprehensive benefits through case analysis. This paper also sorts out the distributed energy-related Chinese government policies from 2001 to 2017, and considers the scale of distributed energy development, then divides it into two development stages. The synergetic entropy is used to analyze the synergetic development degree of the two-stage distributed energy entities. The synergistic optimization strategy is proposed from the Chinese government side, power supply side, power grid side and user side, which provides theoretical methods and optimization suggestions for improving the comprehensive benefits of distributed energy and promoting sustainable development of energy.

Suggested Citation

  • Xiaohua Song & Mengdi Shu & Yimeng Wei & Jinpeng Liu, 2018. "A Study on the Multi-Agent Based Comprehensive Benefits Simulation Analysis and Synergistic Optimization Strategy of Distributed Energy in China," Energies, MDPI, vol. 11(12), pages 1-21, November.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:12:p:3260-:d:184976
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/11/12/3260/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/11/12/3260/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Di Somma, M. & Graditi, G. & Heydarian-Forushani, E. & Shafie-khah, M. & Siano, P., 2018. "Stochastic optimal scheduling of distributed energy resources with renewables considering economic and environmental aspects," Renewable Energy, Elsevier, vol. 116(PA), pages 272-287.
    2. Bale, Catherine S.E. & Varga, Liz & Foxon, Timothy J., 2015. "Energy and complexity: New ways forward," Applied Energy, Elsevier, vol. 138(C), pages 150-159.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yun Chen & Zhigen Hu & Quan Liu & Shu Chen, 2020. "Evolutionary Game Analysis of Tripartite Cooperation Strategy under Mixed Development Environment of Cascade Hydropower Stations," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(6), pages 1951-1970, April.
    2. Pedro Faria & Zita Vale, 2019. "Distributed Energy Resources Management 2018," Energies, MDPI, vol. 13(1), pages 1-4, December.
    3. Miao Li & Yiran Feng & Maojun Zhou & Hailin Mu & Longxi Li & Yajun Wang, 2019. "Economic and Environmental Optimization for Distributed Energy System Integrated with District Energy Network," Energies, MDPI, vol. 12(10), pages 1-19, May.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Nazim Hajiyev & Klaudia Smoląg & Ali Abbasov & Valeriy Prasolov, 2020. "Energy War Strategies: The 21st Century Experience," Energies, MDPI, vol. 13(21), pages 1-15, November.
    2. Jeonghwa Cha & Kyungbo Park & Hangook Kim & Jongyi Hong, 2023. "Crisis Index Prediction Based on Momentum Theory and Earnings Downside Risk Theory: Focusing on South Korea’s Energy Industry," Energies, MDPI, vol. 16(5), pages 1-20, February.
    3. Sun, Wei & Harrison, Gareth P., 2019. "Wind-solar complementarity and effective use of distribution network capacity," Applied Energy, Elsevier, vol. 247(C), pages 89-101.
    4. Li, Aitong & Xu, Yuan & Shiroyama, Hideaki, 2019. "Solar lobby and energy transition in Japan," Energy Policy, Elsevier, vol. 134(C).
    5. Ahmad Abuelrub & Osama Saadeh & Hussein M. K. Al-Masri, 2018. "Scenario Aggregation-Based Grid-Connected Photovoltaic Plant Design," Sustainability, MDPI, vol. 10(4), pages 1-13, April.
    6. Derkenbaeva, Erkinai & Halleck Vega, Solmaria & Hofstede, Gert Jan & van Leeuwen, Eveline, 2022. "Positive energy districts: Mainstreaming energy transition in urban areas," Renewable and Sustainable Energy Reviews, Elsevier, vol. 153(C).
    7. 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).
    8. Ahl, A. & Yarime, M. & Goto, M. & Chopra, Shauhrat S. & Kumar, Nallapaneni Manoj. & Tanaka, K. & Sagawa, D., 2020. "Exploring blockchain for the energy transition: Opportunities and challenges based on a case study in Japan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 117(C).
    9. Yang, Wenjun & Guo, Jia & Vartosh, Aris, 2022. "Optimal economic-emission planning of multi-energy systems integrated electric vehicles with modified group search optimization," Applied Energy, Elsevier, vol. 311(C).
    10. Fuat Oğuz, 2020. "Hayekian complexity and the role of regulation in electricity markets," Economic Affairs, Wiley Blackwell, vol. 40(3), pages 406-418, October.
    11. Yan, Rujing & Wang, Jiangjiang & Wang, Jiahao & Tian, Lei & Tang, Saiqiu & Wang, Yuwei & Zhang, Jing & Cheng, Youliang & Li, Yuan, 2022. "A two-stage stochastic-robust optimization for a hybrid renewable energy CCHP system considering multiple scenario-interval uncertainties," Energy, Elsevier, vol. 247(C).
    12. Elaine Fouché & Alan Brent, 2020. "Explore, Design and Act for Sustainability: A Participatory Planning Approach for Local Energy Sustainability," Sustainability, MDPI, vol. 12(3), pages 1-17, January.
    13. Berjawi, A.E.H. & Walker, S.L. & Patsios, C. & Hosseini, S.H.R., 2021. "An evaluation framework for future integrated energy systems: A whole energy systems approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 145(C).
    14. Marc Deissenroth & Martin Klein & Kristina Nienhaus & Matthias Reeg, 2017. "Assessing the Plurality of Actors and Policy Interactions: Agent-Based Modelling of Renewable Energy Market Integration," Complexity, Hindawi, vol. 2017, pages 1-24, December.
    15. Karimi, Hamid & Jadid, Shahram, 2020. "Optimal energy management for multi-microgrid considering demand response programs: A stochastic multi-objective framework," Energy, Elsevier, vol. 195(C).
    16. Milchram, Christine & Hillerbrand, Rafaela & van de Kaa, Geerten & Doorn, Neelke & Künneke, Rolf, 2018. "Energy Justice and Smart Grid Systems: Evidence from the Netherlands and the United Kingdom," Applied Energy, Elsevier, vol. 229(C), pages 1244-1259.
    17. Kanato Tamashiro & Talal Alharbi & Alexey Mikhaylov & Ashraf M. Hemeida & Narayanan Krishnan & Mohammed Elsayed Lotfy & Tomonobu Senjyu, 2021. "Investigation of Home Energy Management with Advanced Direct Load Control and Optimal Scheduling of Controllable Loads," Energies, MDPI, vol. 14(21), pages 1-14, November.
    18. Nolting, Lars & Praktiknjo, Aaron, 2022. "The complexity dilemma – Insights from security of electricity supply assessments," Energy, Elsevier, vol. 241(C).
    19. Nusrat Chowdhury & Chowdhury Akram Hossain & Michela Longo & Wahiba Yaïci, 2018. "Optimization of Solar Energy System for the Electric Vehicle at University Campus in Dhaka, Bangladesh," Energies, MDPI, vol. 11(9), pages 1-10, September.
    20. Costa, Vinicius Braga Ferreira da & Bonatto, Benedito Donizeti, 2023. "Cutting-edge public policy proposal to maximize the long-term benefits of distributed energy resources," Renewable Energy, Elsevier, vol. 203(C), pages 357-372.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:11:y:2018:i:12:p:3260-:d:184976. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.