Abstract
Due to the inherent intermittency of wind power and the shortage of transmission capacity, a considerable amount of wind power cannot be delivered to load centres. The resulting curtailment of wind power poses a serious challenge to transmission planners. In this paper, we take advantages of the superquantile theory and formulate a risk-based transmission expansion planning (TEP) model to reduce the curtailment of wind power. Regarding its non-convexity and computation difficulty induced by increasing scenarios, we propose a convex relaxation method that can greatly improve computational efficiency. In the numerical study, the computational efficiency of the proposed solution strategy is verified. The comparable results demonstrate the effectiveness and superiority of the risk-based TEP model in terms of making a trade-off between the curtailment of wind power and the transmission investment cost.
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