The number of Photovoltaic (PV) plants is expected to increase exponentially, due to policies favoring climate neutrality. This could add additional burden to companies that are in charge of the Operation and Maintena...
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The number of Photovoltaic (PV) plants is expected to increase exponentially, due to policies favoring climate neutrality. This could add additional burden to companies that are in charge of the Operation and Maintenance (O&M) of PV systems. This paper addresses the O&M planning problem and proposes a prescriptive maintenance methodology. The main objective is to provide an optimal maintenance plan considering the minimization of the O&M cost. The methodology is formulated as mixed-integer nonlinear problem and its objective is to minimize not only the direct maintenance cost, i.e., labor and fuel cost, but also the cost of total energy losses. In this way, its deployment enhances the competitiveness of O&M contractors and increases the profitability of the systems. Four different objective functions, i.e., O&M schemes, have been formulated to ensure the efficiency of the formulated objective function. Additionally, a rule-based maintenance model is considered as baseline O&M scheme. The O&M schemes are tested on thirteen randomly formulated scenarios, i.e., random number and type of faults and four different systems' arrangements. The results highlight the robustness of the proposed O&M scheme, since it can decrease the O&M cost from 4.5% to 17.06%, compared to the rest of the O&M schemes.
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