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Multi-agent maintenance scheduling based on the coordination between central operator and decentralized producers in an electricity market

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  • Rokhforoz, Pegah
  • Gjorgiev, Blazhe
  • Sansavini, Giovanni
  • Fink, Olga

Abstract

Condition-based and predictive maintenance enable early detection of critical system conditions and thereby enable decision makers to forestall faults and mitigate them. However, decision makers also need to take the operational and production needs into consideration for optimal decision-making when scheduling maintenance activities. Particularly in network systems, such as power grids, decisions on the maintenance of single assets can affect the entire network and are, therefore, more complex.

Suggested Citation

  • Rokhforoz, Pegah & Gjorgiev, Blazhe & Sansavini, Giovanni & Fink, Olga, 2021. "Multi-agent maintenance scheduling based on the coordination between central operator and decentralized producers in an electricity market," Reliability Engineering and System Safety, Elsevier, vol. 210(C).
    • Handle: RePEc:eee:reensy:v:210:y:2021:i:c:s0951832021000600
    DOI: 10.1016/j.ress.2021.107495
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    References listed on IDEAS

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    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. Fotouhi Ghazvini, Mohammad Ali & Canizes, Bruno & Vale, Zita & Morais, Hugo, 2013. "Stochastic short-term maintenance scheduling of GENCOs in an oligopolistic electricity market," Applied Energy, Elsevier, vol. 101(C), pages 667-677.
    3. Herriges Joseph A. & Govindasamy Ramu & Shogren Jason F., 1994. "Budget-Balancing Incentive Mechanisms," Journal of Environmental Economics and Management, Elsevier, vol. 27(3), pages 275-285, November.
    4. Fotouhi Ghazvini, M.A. & Morais, Hugo & Vale, Zita, 2012. "Coordination between mid-term maintenance outage decisions and short-term security-constrained scheduling in smart distribution systems," Applied Energy, Elsevier, vol. 96(C), pages 281-291.
    5. Min, C.G. & Kim, M.K. & Park, J.K. & Yoon, Y.T., 2013. "Game-theory-based generation maintenance scheduling in electricity markets," Energy, Elsevier, vol. 55(C), pages 310-318.
    6. Kosenok, Grigory & Severinov, Sergei, 2008. "Individually rational, budget-balanced mechanisms and allocation of surplus," Journal of Economic Theory, Elsevier, vol. 140(1), pages 126-161, May.
    7. Kralj, Branimir L. & Petrovic, Radivoj, 1988. "Optimal preventive maintenance scheduling of thermal generating units in power systems --A survey of problem formulations and solution methods," European Journal of Operational Research, Elsevier, vol. 35(1), pages 1-15, April.
    8. Kuznetsova, Elizaveta & Li, Yan-Fu & Ruiz, Carlos & Zio, Enrico, 2014. "An integrated framework of agent-based modelling and robust optimization for microgrid energy management," Applied Energy, Elsevier, vol. 129(C), pages 70-88.
    9. Jagtap, Hanumant P. & Bewoor, Anand K. & Kumar, Ravinder & Ahmadi, Mohammad Hossein & Chen, Lingen, 2020. "Performance analysis and availability optimization to improve maintenance schedule for the turbo-generator subsystem of a thermal power plant using particle swarm optimization," Reliability Engineering and System Safety, Elsevier, vol. 204(C).
    10. Xiao, Lei & Song, Sanling & Chen, Xiaohui & Coit, David W., 2016. "Joint optimization of production scheduling and machine group preventive maintenance," Reliability Engineering and System Safety, Elsevier, vol. 146(C), pages 68-78.
    11. BULUT, Merve & ÖZCAN, Evrencan, 2021. "A new approach to determine maintenance periods of the most critical hydroelectric power plant equipment," Reliability Engineering and System Safety, Elsevier, vol. 205(C).
    12. Liao, Guobo & Yin, Hongpeng & Chen, Min & Lin, Zheng, 2021. "Remaining useful life prediction for multi-phase deteriorating process based on Wiener process," Reliability Engineering and System Safety, Elsevier, vol. 207(C).
    13. Volkanovski, Andrija & Mavko, Borut & Boševski, Tome & Čauševski, Anton & Čepin, Marko, 2008. "Genetic algorithm optimisation of the maintenance scheduling of generating units in a power system," Reliability Engineering and System Safety, Elsevier, vol. 93(6), pages 779-789.
    14. Zheng, Junjun & Okamura, Hiroyuki & Pang, Taoming & Dohi, Tadashi, 2021. "Availability importance measures of components in smart electric power grid systems," Reliability Engineering and System Safety, Elsevier, vol. 205(C).
    15. Dieulle, L. & Berenguer, C. & Grall, A. & Roussignol, M., 2003. "Sequential condition-based maintenance scheduling for a deteriorating system," European Journal of Operational Research, Elsevier, vol. 150(2), pages 451-461, October.
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    Cited by:

    1. Rokhforoz, Pegah & Fink, Olga, 2022. "Maintenance scheduling of manufacturing systems based on optimal price of the network," Reliability Engineering and System Safety, Elsevier, vol. 217(C).
    2. Braga, Joaquim A.P. & Andrade, António R., 2021. "Multivariate statistical aggregation and dimensionality reduction techniques to improve monitoring and maintenance in railways: The wheelset component," Reliability Engineering and System Safety, Elsevier, vol. 216(C).
    3. Rokhforoz, Pegah & Montazeri, Mina & Fink, Olga, 2023. "Safe multi-agent deep reinforcement learning for joint bidding and maintenance scheduling of generation units," Reliability Engineering and System Safety, Elsevier, vol. 232(C).
    4. Chen, Biyun & Chen, Yanni & Zhou, Hengwang & Bai, Xiaoqing & Li, Bin & Guo, Xiaoxuan, 2023. "A Bi-level gaming programming for regional integrated energy system considering the users’ reliability incentive," Reliability Engineering and System Safety, Elsevier, vol. 229(C).
    5. Stover, Oliver & Karve, Pranav & Mahadevan, Sankaran, 2023. "Reliability and risk metrics to assess operational adequacy and flexibility of power grids," Reliability Engineering and System Safety, Elsevier, vol. 231(C).

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