A computational intelligence-based suite for vulnerability assessment of electrical power systems |
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| Authors: | Ahmed MA Haidar Azah Mohamed Federico Milano |
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| Affiliation: | 1. University Malaysia Pahang, Pahang, Malaysia;2. University Kebangsaan Malaysia, Selangor, Malaysia;3. University of Castilla-La Mancha, Ciudad Real, Spain;1. COMSATS Institute of Information Technology, Wah Campus, Pakistan;2. Rayerson University, Canada;1. Department of Electrical Engineering, AU College of Engineering, Andhra University, Visakhapatnam 530003, AP, India;2. Department of Electrical and Electronics Engineering, Gudlavalleru Engineering College, Gudlavalleru 521356, AP, India;3. Electrical and Computer Engineering, York College of Pennsylvania, York, PA, USA;1. University of Souk Ahras, Po Box 1553, Souk Ahras, 41000, Algeria;2. Badji Mokhtar University, BP 12, Annaba, 23000, Algeria;3. Clermont Université, Université Blaise Pascal, Institut Pascal, BP 10448, F-63000, Clermont-Ferrand, France;4. CNRS, UMR 6602, Institut Pascal, F-63171, Aubière, France;1. Dept. of Electrical Engineering and Computer Science, The University of Tennessee, Knoxville, TN 37996, United States;2. Peak Reliability, 4850 Hahns Peak Drive, Suite 120, Loveland, CO 80538, United States;3. Dispatch Center, State Grid Jiangsu Electric Power Company Ltd, Nanjing, Jiangsu, China;4. GEIRI North America, San Jose, CA, United States;1. AIT, Austrian Institute of Technology GmbH, Center for Low-Emission Transport, Giefinggasse 2, Vienna, 1210, Austria;2. Dipartimento Politecnico di Ingegneria e Architettura, University of Udine, Via delle Scienze 206, 33100, Udine, Italy |
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| Abstract: | This paper discusses the feasibility of implementing computational intelligence algorithms for power system analysis in an open source environment. The scope is specially oriented to education, training and research. In particular, the paper describes a software package, namely Computational Intelligence Applications to Power System (CIAPS), that implements a variety of heuristic techniques for vulnerability assessment of electrical power systems. CIAPS is based on Matlab and suited for analysis and simulation of small to large size electric power systems. CIAPS is used for solving power flow, optimal power flow, contingency analysis based on artificial neural networks and fuzzy logic techniques. A variety of illustrative examples are given to show the features of the developed software tool. |
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