Paper
7 September 2023 A practical optimization model for maintenance scheduling in power grid
Feng Zhu, Weiwen Qi, Jianguo Chen, Gang Luo, Lingyan Wu
Author Affiliations +
Proceedings Volume 12790, Eighth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023); 127904D (2023) https://doi.org/10.1117/12.2690362
Event: 8th International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023), 2023, Hangzhou, China
Abstract
The maintenance schedule is generally proposed by each maintenance department, and its rationality is important for the safety and stability of the power system. The rationality of the maintenance schedule relies on careful rearrangement by the dispatcher. However, maintenance scheduling is burdened and deeply dependent on experience. Inexperience or occasional negligence may lead to increased outage time or overload of equipment, and may bring risks to the power system. A maintenance scheduling optimization model is proposed with the objective to minimize the weighted sum of the adjusted days to preferred maintenance dates, the number of rearranged items, the day count of equipment outage and the cancellated maintenance items. The proposed model is mathematically a mixed integer linear programming (MILP) problem, which can be reliably solved by using optimization tools (e.g., CPLEX). The simulation of the IEEE 39-bus system shows the correctness and efficiency of the proposed method.
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Feng Zhu, Weiwen Qi, Jianguo Chen, Gang Luo, and Lingyan Wu "A practical optimization model for maintenance scheduling in power grid", Proc. SPIE 12790, Eighth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023), 127904D (7 September 2023); https://doi.org/10.1117/12.2690362
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KEYWORDS
Mathematical optimization

Power grids

Mathematical modeling

Particle swarm optimization

Instrument modeling

Safety

Power supplies

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