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A Two-Stage Optimal Dispatching Model for Micro Energy Grid Considering the Dual Goals of Economy and Environmental Protection under CVaR

Author

Listed:
  • Jun Dong

    (Department of Economic Management, North China Electric Power University, Beijing 102206, China)

  • Yaoyu Zhang

    (Department of Economic Management, North China Electric Power University, Beijing 102206, China)

  • Yuanyuan Wang

    (Department of Economic Management, North China Electric Power University, Beijing 102206, China)

  • Yao Liu

    (Department of Economic Management, North China Electric Power University, Beijing 102206, China)

Abstract

With the development of distributed renewable energy, a micro-energy grid (MEG) is an important way to solve the problem of energy supply in the future. A two-stage optimal scheduling model considering economy and environmental protection is proposed to solve the problem of optimal scheduling of micro-energy grid with high proportion of renewable energy system (RES) and multiple energy storage systems (ESS), in which the risk is measured by conditional value-at-risk (CVaR). The results show that (a) this model can realize the optimal power of various energy equipment, promote the consumption of renewable energy, and the optimal operating cost of the system is 34873 USD. (b) The dispatch of generating units is different under different risk coefficients λ , which leads to different dispatch cost and risk cost, and the two costs cannot be optimal at the same time. The risk coefficient λ shall be determined according to the degree of risk preference of the decision-maker. (c) The proposed optimal model could balance economic objectives and environmental objectives, and rationally control its pollutant emission level while pursuing the minimum operation costs. Therefore, the proposed model can not only reduce the operation cost based on the consideration of system carbon emissions but also provide decision-makers with decision-making support by measuring the risk.

Suggested Citation

  • Jun Dong & Yaoyu Zhang & Yuanyuan Wang & Yao Liu, 2021. "A Two-Stage Optimal Dispatching Model for Micro Energy Grid Considering the Dual Goals of Economy and Environmental Protection under CVaR," Sustainability, MDPI, vol. 13(18), pages 1-28, September.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:18:p:10173-:d:633530
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    References listed on IDEAS

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    Cited by:

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    2. Tafone, Alessio & Raj Thangavelu, Sundar & Morita, Shigenori & Romagnoli, Alessandro, 2023. "Design optimization of a novel cryo-polygeneration demonstrator developed in Singapore – Techno-economic feasibility study for a cooling dominated tropical climate," Applied Energy, Elsevier, vol. 330(PB).
    3. Lucio Laureti & Alessandro Massaro & Alberto Costantiello & Angelo Leogrande, 2023. "The Impact of Renewable Electricity Output on Sustainability in the Context of Circular Economy: A Global Perspective," Sustainability, MDPI, vol. 15(3), pages 1-29, January.
    4. Morteza Neishaboori & Alireza Arshadi Khamseh & Abolfazl Mirzazadeh & Mostafa Esmaeeli & Hamed Davari Ardakani, 2024. "Stochastic optimal pricing for retail electricity considering demand response, renewable energy sources and environmental effects," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 23(5), pages 435-451, October.
    5. Shiduo Jia & Xiaoning Kang, 2022. "Multi-Objective Optimal Scheduling of CHP Microgrid Considering Conditional Value-at-Risk," Energies, MDPI, vol. 15(9), pages 1-21, May.

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