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Comprehensive analysis of risk-based energy management for dependent micro-grid under normal and emergency operations

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  • Mansour-lakouraj, Mohammad
  • Shahabi, Majid

Abstract

Micro-grids provide opportunities to enhance reliability and flexibility in power systems. In recent years, resiliency of power grids has attracted many research interests. Moreover, the optimal energy scheduling of micro-grids can satisfy resiliency improvement of the system. In this paper, a novel two-stage risk-constrained stochastic framework is proposed, which can optimally schedule a dependent micro-grid in both normal and emergency situations. Dependent micro-grid is introduced as a new group of micro-grids with additional interconnection point. It can use energy storage systems, DGs and demand response resources to guarantee resilient and economic operation. In the proposed model, linearized AC grid constraints are added to the mathematical formulation to improve computational efficiency. Predominant uncertainties such as loads, prices, wind, and unplanned islanding events are managed based on risk constraints. The optimal energy management strategy is formulated as an MILP and implemented in the IBM CPLEX® Software. Several case studies are carried out to demonstrate the application of the proposed framework. The sensitivity of energy storage system scheduling and the operator's participation in the electricity market are examined by adjusting risk parameters. Furthermore, it is shown that energy procurement by an extra interconnection point would mitigate the economic losses during emergency condition.

Suggested Citation

  • Mansour-lakouraj, Mohammad & Shahabi, Majid, 2019. "Comprehensive analysis of risk-based energy management for dependent micro-grid under normal and emergency operations," Energy, Elsevier, vol. 171(C), pages 928-943.
    • Handle: RePEc:eee:energy:v:171:y:2019:i:c:p:928-943
    DOI: 10.1016/j.energy.2019.01.055
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    References listed on IDEAS

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    Cited by:

    1. Yu, Min Gyung & Pavlak, Gregory S., 2023. "Risk-aware sizing and transactive control of building portfolios with thermal energy storage," Applied Energy, Elsevier, vol. 332(C).
    2. Guo, Hongye & Chen, Qixin & Shahidehpour, Mohammad & Xia, Qing & Kang, Chongqing, 2022. "Bidding behaviors of GENCOs under bounded rationality with renewable energy," Energy, Elsevier, vol. 250(C).
    3. MansourLakouraj, Mohammad & Shahabi, Majid & Shafie-khah, Miadreza & Catalão, João P.S., 2022. "Optimal market-based operation of microgrid with the integration of wind turbines, energy storage system and demand response resources," Energy, Elsevier, vol. 239(PB).
    4. MansourLakouraj, Mohammad & Shahabi, Majid & Shafie-khah, Miadreza & Ghoreishi, Niloofar & Catalão, João P.S., 2020. "Optimal power management of dependent microgrid considering distribution market and unused power capacity," Energy, Elsevier, vol. 200(C).
    5. Jordehi, A. Rezaee & Javadi, Mohammad Sadegh & Shafie-khah, Miadreza & Catalão, João P.S., 2021. "Information gap decision theory (IGDT)-based robust scheduling of combined cooling, heat and power energy hubs," Energy, Elsevier, vol. 231(C).
    6. Zhang, Dongdong & Li, Chunjiao & Goh, Hui Hwang & Ahmad, Tanveer & Zhu, Hongyu & Liu, Hui & Wu, Thomas, 2022. "A comprehensive overview of modeling approaches and optimal control strategies for cyber-physical resilience in power systems," Renewable Energy, Elsevier, vol. 189(C), pages 1383-1406.
    7. Shams, Mohammad H. & Shahabi, Majid & MansourLakouraj, Mohammad & Shafie-khah, Miadreza & Catalão, João P.S., 2021. "Adjustable robust optimization approach for two-stage operation of energy hub-based microgrids," Energy, Elsevier, vol. 222(C).
    8. Yu, Vincent F. & Le, Thi Huynh Anh & Gupta, Jatinder N.D., 2023. "Sustainable microgrid design with peer-to-peer energy trading involving government subsidies and uncertainties," Renewable Energy, Elsevier, vol. 206(C), pages 658-675.

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