Multi-Objective Generation Maintenance Scheduling Using Global Criterion and Lexicographic Methods
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Abstract
Generation maintenance scheduling (GMS) is a power system maintenance model that allows system equipment to provide electricity continuously, while also improving system reliability (SR). However, turning off a distributed generator (DG) for maintenance prevents it from generating power for sale. As a result, revenue that a generation company (GenCo) might potentially receive is decreased. Therefore, reliability and cost outcomes should be considered when planning maintenance. Several studies recommend the GMS model, based on multi-objective problems solved through optimization methods. The global criterion and lexicographic methods, by contrast, are two mathematical approaches individually applied in distinct network topologies, objectives, and constraints. In addition, the coefficient search space, specified as a single constant, is also used in the lexicographic method. This paper uses the GMS model with global criteria and lexicographic methods in the same systems to assess efficiency of multi-objective problem solutions based on cost and system reliability for both methods. Coefficient search space is adjusted for the lexicographic method, depending on the first objective. Based on the IEEE 6 and IEEE 18-bus test networks, a numerical example is investigated. Results indicate that the two methods provide distinct GMS plans for a GenCo to select. If the GMS problem is based on a few objectives, DGs, or loads, the global criterion is preferable to the lexicographic method for mathematical findings. The main objective of coefficient search space settings for the lexicographic method should be adjusted to obtain results close to the main objective.
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