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International Journal of Scientific and Engineering Research
ISSN Online 2229-5518
ISSN Print: 2229-5518 4    
Website: http://www.ijser.org
scirp IJSER >> Volume 2, Issue 4, April 2011 Edition
Distributed Generation Planning Optimization Using Multiobjective Evolutionary Algorithms
Full Text(PDF, 3000)  PP.  
Author(s)
Mahmood Sheidaee, Mohsen Kalantar
KEYWORDS
Dِistributed generation, Distribution systems, Load models, Strength Pareto Evolutionary Algorithm.
ABSTRACT
In this paper, a method to determine the size - location of Distributed Generations (DGs) in distribution systems based on multi objective performance index is provided considering load models. We will see that load models affect the location and the optimized size of Distributed Generations in distributed systems significantly. The simulation studies are also done based on a new multi objective evolutionary algorithm. The proposed method has a mechanism to keep the diversity to overcome the premature convergence and the other problems. A hierarchical clustering algorithm is used to provide a manageable and representative Pareto set for decision maker. In addition, fuzzy set theory is used to extract the best solution. Comparing this method with the other methods shows the superiority of proposed method. Furthermore, this method can easily satisfy other purposes with little development and extension.
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