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Toward a margin-based VaR for the unit maintenance scheduling of power provider enterprises

Abstract Value at Risk (VaR) provides a powerful benchmarking index for risk management purposes. In the Power Provider Enterprise (PPE) sector, risk assessment is traditionally performed using some form of probability-based technique rather than by applying a margin-based risk approach over the course of the entire year. Accordingly, this study presents a VaR assessment model to facilitate a margin-based risk assessment approach to the unit maintenance scheduling (UMS) task. The feasibility of the proposed method is verified using the IEEE Reliability Test System (RTS). The simulation results confirm the effectiveness and practical benefit of the proposed approach.