Title

FACTS location and size for reactive power system compensation through the multi-objective optimization

Journal title

Archives of Control Sciences

Yearbook

2010

Issue

No 4

Authors

Messaoud Belazzoug ; Mohamed Boudour ; Karim Sebaa

Divisions of PAS

Nauki Techniczne

Publisher

Committee of Automatic Control and Robotics PAS

Date

2010

Identifier

DOI: 10.2478/v10170-010-0027-2 ; ISSN 1230-2384

Source

Archives of Control Sciences; 2010; No 4

References

IEEE/CIGRE' (Institute of Electrical and Electronic Engineers / Conseil International des Grands Réseaux Électriques) FACTS overview. Special issue, TP108, IEEE Service Center, Oiscataway, NJ, 1995. ; Hingorani N. (2000), Understanding FACTS, Concepts and technology of flexible AC transmission systems. ; Song Y. (1999), Applications of fuzzy logic in power systems. III. Example applications, Power Engineering J, 13, 2, 97. ; Deb K. (1999), Evolutionary Algorithms in Engineering and Computer Science, 135. ; C. Fonseca: Multiobjective genetic algorithms with application to control engineering problems. PhD Thesis, Department of Automatic Control and Systems Engineering, The University of Sheffild, September, 1995. ; Horn J. (1994), A niched Pareto genetic algorithm for multi-objectives optimization, null, 1, 82. ; Abido M. (2003), A niched Pareto genetic algorithm for multi objectives environmental / economic dispatch, Electrical Power and Energy Systems, 97. ; Alexandre H. (2002), Multiobjective genetic algorithms applied to solve optimization problems, IEEE Trans. Magnetics, 38, 2, 1133. ; E. Zitzler and L. Thiele: An evolutionary algorithm for multi-objectives optimization: The strength Pareto approach. TIK-Report no. 43, 1998. ; E. Zitzler, M. Laumanns and L. Thiele: SPEA2: Improving the strength Pareto evolutionary algorithm. TIK-Report no. 103, 2001. ; Yan W. (2004), A novel optimal reactive power dispatch method based on an improved hybrid evolutionary programming technique, IEEE Trans. Power Systems, 19, 2. ; Bouktir T. (2005), Optimal power flow of the algerian electrical network using an ant colony optimization method, Leonardo J. of Sciences, 6, 43. ; Mansour M. (1984), Non-linear VAR optimization using decomposition and coordination, IEEE Trans. Power Apparat. Systems, 103, 2, 246. ; Abril I. (2003), VAR compensation by sequential quadratic programming, IEEE Trans. Power Systems, 18, 1, 36. ; Hsiao Y. (1994), A vomputer package for optimal multi-objective VAR planning in large scale power systems, IEEE Trans. Power Systems, 9, 2, 668. ; Ma J. (1996), Evolutionary programming approach to reactive power planning, IEE Proc. - Gener. Transm. Distrib, 143, 4, 365. ; Farag A. (1995), Economic load dispatch multiobjectives optimization procedures using linear programming techniques, IEEE Trans. Power Systems, 10, 2, 731. ; Belazzoug M. (2008), New reactive power sources dispatch applied to the IEEE 57 nodes, The Int. J. for Computation and Mathematics in Electrical and Electronic Engineering, 27, 5, 1192. ; Acha E. (2004), FACTS, modelling and simulation in power network.