A current-based SCOPF with enhanced particle swarm optimization

Author(s): Cong-Hui Huanga*, Yih-Feng Sua, Bo-Ren Shiha, Chao-Chin Chiangb, Jheng-Han Linb, and Cang-Song Syub
a Far East University/Automation and Control Engineering, Tainan City 74448, Taiwan
b Far East University/ Mechanical Engineering, Tainan City 74448, Taiwan
International Journal of Smart Grid and Clean Energy, vol. 3, no. 3, July 2014: pp. 255-262
ISSN: 2315-4462 (Print)
ISSN: 2373-3594 (Online)
Digital Object Identifier: 10.12720/sgce.3.3.255-262

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.

Keywords: Optimal power flow, particle swarm optimization, security analysis, security-constrained optimal power flow

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