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Maintenance scheduling optimization in renewable and conventional power systems: A review

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  • Sadeghian, Omid
  • Mohammadpour Shotorbani, Amin
  • Mohammadi-Ivatloo, Behnam

Abstract

Periodic maintenance services are important for power system components to minimize potential failures and repair costs, improving system reliability, and postpone the need for constructing new generating units and transmission lines. The maintenance scheduling (MS) program is designed to optimally determine the planned outage periods of related units and lines for maintenance services. This work presents a critical review of generation and transmission MS strategies in both renewable and conventional power systems. It highlights key factors influencing optimal MS, such as the dynamics in electricity market, load demand, and reserve requirements. The concept of integrated MS (i.e., coordinated generation and transmission MS) is also discussed. The review covers MS frameworks for various renewable sources including hydropower, wind turbines, and photovoltaic systems, alongside conventional units such as thermal plants, gas turbines, and cogeneration systems. The review also deals with uncertainties, objective functions, and coordination of MS with broader power system problems, such as fuel limits, congestion, and carbon emissions. Moreover, the work emphasizes real-world MS programs implemented across different countries with giving key findings and research gaps. This study is beneficial for researchers seeking to advance the field in future studies and power utilities aiming to implement effective and efficient MS programs.

Suggested Citation

  • Sadeghian, Omid & Mohammadpour Shotorbani, Amin & Mohammadi-Ivatloo, Behnam, 2026. "Maintenance scheduling optimization in renewable and conventional power systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 229(C).
    • Handle: RePEc:eee:rensus:v:229:y:2026:i:c:s1364032125012869
    DOI: 10.1016/j.rser.2025.116613
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    1. Qi, Faqun & Zhang, Anming & Fu, Xinyi & Zha, Wenfei & Sun, Yuanhang, 2025. "Maintenance strategy for urban micro wind farm considering maintenance route and resource allocation," Applied Energy, Elsevier, vol. 377(PB).
    2. Si, Guojin & Xia, Tangbin & Gebraeel, Nagi & Wang, Dong & Pan, Ershun & Xi, Lifeng, 2025. "Holistic opportunistic maintenance scheduling and routing for offshore wind farms," Renewable and Sustainable Energy Reviews, Elsevier, vol. 207(C).
    3. Sadeghian, Omid & Mohammadpour Shotorbani, Amin & Mohammadi-Ivatloo, Behnam & Sadiq, Rehan & Hewage, Kasun, 2021. "Risk-averse maintenance scheduling of generation units in combined heat and power systems with demand response," Reliability Engineering and System Safety, Elsevier, vol. 216(C).
    4. 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.
    5. Quanjiang Yu & Pramod Bangalore & Sara Fogelström & Serik Sagitov, 2024. "Optimal Preventive Maintenance Scheduling for Wind Turbines under Condition Monitoring," Energies, MDPI, vol. 17(2), pages 1-16, January.
    6. Peters, Lennart & Madlener, Reinhard, 2017. "Economic evaluation of maintenance strategies for ground-mounted solar photovoltaic plants," Applied Energy, Elsevier, vol. 199(C), pages 264-280.
    7. Dahal, Keshav & Al-Arfaj, Khalid & Paudyal, Krishna, 2015. "Modelling generator maintenance scheduling costs in deregulated power markets," European Journal of Operational Research, Elsevier, vol. 240(2), pages 551-561.
    8. Tamás Orosz & Anton Rassõlkin & Pedro Arsénio & Peter Poór & Daniil Valme & Ádám Sleisz, 2024. "Current Challenges in Operation, Performance, and Maintenance of Photovoltaic Panels," Energies, MDPI, vol. 17(6), pages 1-22, March.
    9. Khaled Alhamad & Yousuf Alkhezi, 2024. "Hybrid Genetic Algorithm and Tabu Search for Solving Preventive Maintenance Scheduling Problem for Cogeneration Plants," Mathematics, MDPI, vol. 12(12), pages 1-26, June.
    10. Froger, Aurélien & Gendreau, Michel & Mendoza, Jorge E. & Pinson, Éric & Rousseau, Louis-Martin, 2016. "Maintenance scheduling in the electricity industry: A literature review," European Journal of Operational Research, Elsevier, vol. 251(3), pages 695-706.
    11. Huang, Zhouchun & Zheng, Qipeng Phil, 2020. "A multistage stochastic programming approach for preventive maintenance scheduling of GENCOs with natural gas contract," European Journal of Operational Research, Elsevier, vol. 287(3), pages 1036-1051.
    12. Rinaldi, Giovanni & Garcia-Teruel, Anna & Jeffrey, Henry & Thies, Philipp R. & Johanning, Lars, 2021. "Incorporating stochastic operation and maintenance models into the techno-economic analysis of floating offshore wind farms," Applied Energy, Elsevier, vol. 301(C).
    13. Pinciroli, Luca & Baraldi, Piero & Ballabio, Guido & Compare, Michele & Zio, Enrico, 2022. "Optimization of the Operation and Maintenance of renewable energy systems by Deep Reinforcement Learning," Renewable Energy, Elsevier, vol. 183(C), pages 752-763.
    14. Nazari-Heris, Morteza & Babaei, Amir Fakhim & Mohammadi-Ivatloo, Behnam & Asadi, Somayeh, 2018. "Improved harmony search algorithm for the solution of non-linear non-convex short-term hydrothermal scheduling," Energy, Elsevier, vol. 151(C), pages 226-237.
    15. Abdulla, Hind & Sleptchenko, Andrei & Nayfeh, Ammar, 2024. "Photovoltaic systems operation and maintenance: A review and future directions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 195(C).
    16. McMorland, J. & Collu, M. & McMillan, D. & Carroll, J., 2022. "Operation and maintenance for floating wind turbines: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 163(C).
    17. Chin, Hon Huin & Wang, Bohong & Varbanov, Petar Sabev & Klemeš, Jiří Jaromír & Zeng, Min & Wang, Qiu-Wang, 2020. "Long-term investment and maintenance planning for heat exchanger network retrofit," Applied Energy, Elsevier, vol. 279(C).
    18. Niemi, Arto & Skobiej, Bartosz & Kulev, Nikolai & Sill Torres, Frank, 2024. "Modeling offshore wind farm disturbances and maintenance service responses within the scope of resilience," Reliability Engineering and System Safety, Elsevier, vol. 242(C).
    19. Chandra Ade Irawan & Djamila Ouelhadj & Iver Bakken Sperstad & Dylan Jones, 2023. "A combined tactical and operational framework for maintenance scheduling and routing in offshore wind farms," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 74(10), pages 2241-2260, October.
    20. M Alardhi & A W Labib, 2008. "Preventive maintenance scheduling of multi-cogeneration plants using integer programming," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(4), pages 503-509, April.
    21. Hoseini, Naghi & Sheikholeslami, Abdolreza & Barforoushi, Taghi & Latify, Mohammad Amin, 2020. "Preventive maintenance mid-term scheduling of resources in multi-carrier energy systems," Energy, Elsevier, vol. 197(C).
    22. Zhong, Zhiming & Fan, Neng & Wu, Lei, 2024. "Multistage Stochastic optimization for mid-term integrated generation and maintenance scheduling of cascaded hydroelectric system with renewable energy uncertainty," European Journal of Operational Research, Elsevier, vol. 318(1), pages 179-199.
    23. Ma, Yuanchi & Liu, Yongqian & Bai, Xinjian & Guo, Yuanjun & Yang, Zhile & Wang, Liyuan & Tao, Tao & Zhang, Lidong, 2024. "DivideMerge: A multi-vessel optimization approach for cooperative operation and maintenance scheduling in offshore wind farm," Renewable Energy, Elsevier, vol. 229(C).
    24. Eti, M.C. & Ogaji, S.O.T. & Probert, S.D., 2006. "Development and implementation of preventive-maintenance practices in Nigerian industries," Applied Energy, Elsevier, vol. 83(10), pages 1163-1179, October.
    25. Perez-Canto, Salvador & Rubio-Romero, Juan Carlos, 2013. "A model for the preventive maintenance scheduling of power plants including wind farms," Reliability Engineering and System Safety, Elsevier, vol. 119(C), pages 67-75.
    26. 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).
    27. 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.
    28. Dui, Hongyan & Zhang, Songru & Dong, Xinghui & Wu, Shaomin, 2025. "Digital twin-enhanced opportunistic maintenance of smart microgrids based on the risk importance measure," Reliability Engineering and System Safety, Elsevier, vol. 253(C).
    29. Wai Foong & Angus Simpson & Holger Maier & Stephen Stolp, 2008. "Ant colony optimization for power plant maintenance scheduling optimization—a five-station hydropower system," Annals of Operations Research, Springer, vol. 159(1), pages 433-450, March.
    30. Mazidi, Peyman & Tohidi, Yaser & Ramos, Andres & Sanz-Bobi, Miguel A., 2018. "Profit-maximization generation maintenance scheduling through bi-level programming," European Journal of Operational Research, Elsevier, vol. 264(3), pages 1045-1057.
    31. Alaa A. K. Ismaeel & Essam H. Houssein & Doaa Sami Khafaga & Eman Abdullah Aldakheel & Ahmed S. AbdElrazek & Mokhtar Said, 2023. "Performance of Osprey Optimization Algorithm for Solving Economic Load Dispatch Problem," Mathematics, MDPI, vol. 11(19), pages 1-19, September.
    32. Nguyen, Thi-Anh-Tuyet & Chou, Shuo-Yan & Yu, Tiffany Hui-Kuang, 2022. "Developing an exhaustive optimal maintenance schedule for offshore wind turbines based on risk-assessment, technical factors and cost-effective evaluation," Energy, Elsevier, vol. 249(C).
    33. Yixin Huang & Xinyi Liu & Zhi Zhang & Li Yang & Zhenzhi Lin & Yangqing Dan & Ke Sun & Zhou Lan & Keping Zhu, 2020. "Multi-Stage Transmission Network Planning Considering Transmission Congestion in the Power Market," Energies, MDPI, vol. 13(18), pages 1-22, September.
    34. 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.
    35. Yürüşen, Nurseda Y. & Rowley, Paul N. & Watson, Simon J. & Melero, Julio J., 2020. "Automated wind turbine maintenance scheduling," Reliability Engineering and System Safety, Elsevier, vol. 200(C).
    36. Gokturk Poyrazoglu & HyungSeon Oh, 2019. "Co-optimization of Transmission Maintenance Scheduling and Production Cost Minimization," Energies, MDPI, vol. 12(15), pages 1-18, July.
    37. Hyeongon Park & Joonhyung Park & Jong-Young Park & Jae-Haeng Heo, 2017. "Considering Maintenance Cost in Unit Commitment Problems," Energies, MDPI, vol. 10(11), pages 1-12, November.
    38. Rocchetta, R. & Bellani, L. & Compare, M. & Zio, E. & Patelli, E., 2019. "A reinforcement learning framework for optimal operation and maintenance of power grids," Applied Energy, Elsevier, vol. 241(C), pages 291-301.
    39. Xing Su & Xudong Wang & Wanli Xu & Liqian Yuan & Chunhua Xiong & Jinmao Chen, 2024. "Offshore Wind Power: Progress of the Edge Tool, Which Can Promote Sustainable Energy Development," Sustainability, MDPI, vol. 16(17), pages 1-22, September.
    40. Omid Sadeghian & Arash Moradzadeh & Behnam Mohammadi-Ivatloo & Mehdi Abapour & Fausto Pedro Garcia Marquez, 2020. "Generation Units Maintenance in Combined Heat and Power Integrated Systems Using the Mixed Integer Quadratic Programming Approach," Energies, MDPI, vol. 13(11), pages 1-25, June.
    41. Aisha Sa’ad & Aimé C. Nyoungue & Zied Hajej, 2021. "Improved Preventive Maintenance Scheduling for a Photovoltaic Plant under Environmental Constraints," Sustainability, MDPI, vol. 13(18), pages 1-22, September.
    42. Lee, Namkyoung & Woo, Joohyun & Kim, Sungryul, 2025. "A deep reinforcement learning ensemble for maintenance scheduling in offshore wind farms," Applied Energy, Elsevier, vol. 377(PA).
    43. Ghaffarpour, Reza & Mozafari, Babak & Ranjbar, Ali Mohammad & Torabi, Taghi, 2018. "Resilience oriented water and energy hub scheduling considering maintenance constraint," Energy, Elsevier, vol. 158(C), pages 1092-1104.
    44. Khaled Alhamad & Mohsen Alardhi & Abdulla Almazrouee, 2015. "Preventive Maintenance Scheduling for Multicogeneration Plants with Production Constraints Using Genetic Algorithms," Advances in Operations Research, Hindawi, vol. 2015, pages 1-12, February.
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