Stochastic Optimal Dispatch Model Considering Security Risk Constraint

Abstract:

Due to the natural disasters, the transmission line fault has randomness. In order to describe the uncertainty of the transmission line fault, the conditional value-at-risk (CVaR) theory is introduced to quantify the uncertainty risk caused by transmission line failure. A stochastic optimal dispatch model of the power system considering the security risk constraint is proposed in this paper, using the sample average approximation (SAA) method and the analytic method to solve the model. The influence on the result of stochastic optimization dispatching is analysed by different conditional value at risk and confidence levels. The simulations demonstrate that the stochastic optimal dispatch model considering the security risk constraint is reasonable and provides a theoretical basis for the stochastic optimization dispatching of the power system considering line failure.

• Periodical: Advanced Materials Research (Volumes 591-593)
• Pages: 2603-2606
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.591-593.2603
• Online since: November 2012
• Authors: Xiong Zhou, Hong Ming Yang, Jia Jie Wu, Bao Ping Liu
• Keywords: CVaR, Line Failure Probability, Risk Constraint, Sample Average Approximation, Stochastic Optimal Dispatch

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