Multi-objective planning of electrical distribution systems incorporating sectionalizing switches and tie-lines using particle swarm optimization
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Gonen, 1986, Review of distribution system planning models: a model for optimal multi-stage planning, IEE Proceedings-Pt C, 133, 397
Temraz, 1993, Distribution system expansion models: an overview, Electric Power System Research, 26, 61, 10.1016/0378-7796(93)90069-Q
Khator, 1997, Power distribution planning: a review of models and issues, IEEE Transactions Power System, 12, 1151, 10.1109/59.630455
Bhowmik, 2000, A new power distribution system planning through reliability evaluation technique, Electric Power System Research, 54, 169, 10.1016/S0378-7796(99)00086-3
Kagan, 1993, A Benders’ decomposition approach to the multi-objective distribution planning problem, International Journal of Electrical Power and Energy System, 15, 259, 10.1016/0142-0615(93)90047-Q
Nahman, 1997, Optimal planning of rural medium voltage distribution networks, Electrical Power and Energy System, 19, 549, 10.1016/S0142-0615(97)00028-8
Fletcher, 2007, Optimal distribution system horizon planning–part I: formulation, IEEE Transactions on Power System, 22, 791, 10.1109/TPWRS.2007.895173
Fletcher, 2007, Optimal distribution system horizon planning–part II: application, IEEE Transactions on Power System, 22, 862, 10.1109/TPWRS.2007.895177
Boulaxis, 2002, Optimal feeder routing in distribution system planning using dynamic programming technique and GIS facilities, IEEE Transactions on Power Delivery, 17, 242, 10.1109/61.974213
Miranda, 1994, Genetic algorithm in optimal multistage distribution network planning, IEEE Transactions on Power System, 9, 1927, 10.1109/59.331452
Tang, 1995, Power distribution systems planning with reliability modeling and optimization, IEEE Transactions on Power System, 11, 181, 10.1109/59.486711
Ramirez-Rosado, 2001, Reliability and cost optimization for distribution networks expansion using an evolutionary algorithm, IEEE Transactions on Power System, 16, 111, 10.1109/59.910788
Carrano, 2006, Electric distribution network multiobjective design using a problem-specific genetic algorithm, IEEE Transactions on Power Delivery, 21, 995, 10.1109/TPWRD.2005.858779
Mendoza, 2006, NSGA and SPEA applied to multiobjective design of power distribution systems, IEEE Transactions on Power System, 21, 1938, 10.1109/TPWRS.2006.882469
Ramirez-Rosado, 2004, Possibilistic model based on fuzzy sets for the multiobjective optimal planning of electric power distribution networks, IEEE Transactions on Power System, 19, 1801, 10.1109/TPWRS.2004.835678
Carrano, 2007, Electric distribution network expansion under load-evolution uncertainty using an immune system inspired algorithm, IEEE Transactions on Power System, 22, 851, 10.1109/TPWRS.2007.894847
Ganguly, 2010, A novel multi-objective PSO for electrical distribution system planning incorporating distributed generation, Journal of Energy Systems, 1, 291, 10.1007/s12667-010-0014-5
S. Ganguly, N.C. Sahoo, D. Das, Multi-objective planning of electrical distribution systems using particle swarm optimization, in: Proceedings of International conference on electric power and energy conversion systems, IEEE, Sharjah, UAE, 2009, available in IEEEXplore.
K. Deb, Multi-Objective Optimization using Evolutionary Algorithms, John Wiley and Sons Ltd: Reprinted copy October 2004.
E. Zitzler, M. Laumanns, L. Thiele, SPEA2: improving the strength Pareto evolutionary algorithm, Computer Engineering and Networks Laboratory Technical Report-103, Zurich, Switzerland, 2001.
Valle, 2008, Particle swarm optimization: basic concepts, variants and applications in power systems, IEEE Transactions on Evolutionary Computation, 12, 171, 10.1109/TEVC.2007.896686
Sierra, 2006, Multi-objective particle swarm optimizers: a survey of the state-of-the-art, International Journal of Computational Intelligence and Research, 2, 287
Parsopoulos, 2008, Multiobjective particle swarm optimization approaches, Multi-Objective Optimization in Computational Intelligence: Theory and Practice, 20, 10.4018/978-1-59904-498-9.ch002
K.E. Parsopoulos, M.N. Vrahatis, Particle swarm optimization method in multi-objective problems, in: Proceedings of the ACM symposium on Applied computing, Spain, 2002, pp. 603–607.
Hu, 2002, Multiobjective optimization using dynamic neighborhood particle swarm optimization, Proceedings of the Congress on Evolutionary Computation, 2, 1677
X. Hu, R. Eberhart, Y. Shi, Particle swarm with extended memory for multiobjective optimization, in: Proceedings of the IEEE Swarm Intelligence Symposium, Indianapolis, 2003, pp. 193–197.
S. Mostaghim, J. Teich, Strategies for finding good local guides in multi-objective particle swarm optimization MOPSO, in: Proceedings of the IEEE Swarm Intelligence Symposium, 2003, pp. 26–33.
Mostaghim, 2003, The role of ε-dominance in multi objective particle swarm optimization methods, Congress on Evolutionary Computation, 3, 1764
Li, 2003, A nondominated sorting particle swarm optimizer for multiobjective optimization, Lecture Notes in Computer Science, 2723, 37, 10.1007/3-540-45105-6_4
Coello Coello, 2004, Handling multiple objectives with particle swarm optimization, IEEE Transactions on Evolutionary Computation, 8, 256, 10.1109/TEVC.2004.826067
Alvarez-Benitez, 2005, A MOPSO algorithm based exclusively on Pareto dominance concepts, Lecture Notes in Computer Science, 3410, 459, 10.1007/978-3-540-31880-4_32
Zhang, 2007, An improved multi-objective particle swarm optimization algorithm, Lecture Notes in Computer Science, 4683, 372, 10.1007/978-3-540-74581-5_41
Mostaghim, 2007, Multi-objective particle swarm optimization on computer grids, Proceedings of Genetic and Evolutionary Computation Conference, 869
Agrawal, 2008, Multiobjective particle swarm algorithm with fuzzy clustering for electrical power dispatch, IEEE Transactions on Evolutionary Computation, 12, 529, 10.1109/TEVC.2007.913121
Agrawal, 2008, Interactive particle swarm: a Pareto-adaptive metaheuristic to multiobjective optimization, IEEE Transactions on Systems, Man, And Cybernetics-Part A: Systems and Humans, 38, 258, 10.1109/TSMCA.2007.914767
Durillo, 2009, Multi-objective particle swarm optimizers: an experimental comparison, Lecture Notes in Computer Science, 5467, 495, 10.1007/978-3-642-01020-0_39
Kennedy, 1997, A discrete binary version of the particle swarm algorithm, Proceedings Conference Systems, Man, Cybernetics, Piscataway, USA, 4104
Ranjan, 2002, A new algorithm for power distribution system planning, Electric Power Systems Research, 62, 55, 10.1016/S0378-7796(02)00044-5