Abstract
A current-based security-constrained optimal power flow (SCOPF) is presented in this paper and an Enhanced particle swarm optimization (EPSO) is developed to solve the non-convex optimal power flow problem. The SCOPF can be divided into three steps involving security analysis, severest event selection, and a preventive algorithm. Firstly, novel security analysis is conducted before a fault occurs in the system using the current-based power flow technique. Secondly, a ranking method is used to highlight the most severe events caused by a specific facility. Finally, a preventive algorithm makes use of the contingency information, and can maintain the operator system security, avoiding congestion when a fault occurs. In addition, this method not only enhances the neighborhood search, but also searches for the optimum solution quickly to advance the convergence.
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