An ISO-based security constrained generation maintenance coordination considering long-term SCOPF

Abstract Generation maintenance scheduling plays a crucial role in power system operation and planning; as it makes a significant effect on the outage time of generating units, and subsequently, to have a more secure and reliable power system with an optimal maintenance plan. Conventional maintenance scheduling methods are no longer applicable when the restructured power systems introduced. It is thus essential to develop novel approaches for the maintenance coordination. In this paper, an ISO-based security-constrained generation maintenance coordination approach is proposed. The approach comprises two main phases, the security-based maintenance scheduling, and the bidding based maintenance coordination. Moreover, the N − 1 contingency analysis is considered in this study. The network security constraints are also incorporated in the investigation, using the security-constrained optimal power flow model. The model is solved by a binary-coded genetic algorithm which is combined with a primal-dual interior-point method. For systematic analysis, the IEEE 30-Bus and the IEEE-118 test systems are employed. The presented results emphasize the effectiveness and applicability of the proposed approach.

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