Usage of metaheuristic methods of optimization of distributed generation placement into the distribution network (Możliwości zastosowania algorytmów metaheurystycznych do optymalizacji przyłączenia rozprosznych źródeł energii do sieci elektroenergetycznej)
Anna Kowalska-Pyzalska
No HSC/11/07, HSC Research Reports from Hugo Steinhaus Center, Wroclaw University of Science and Technology
Abstract:
Because of the increasing number of distributed energy sources integrated with the distribution network various optimization methods are very useful in determining the optimal placement, type and size of the distributed generators. One of the most commonly used algorithms are so called metaheuristics, like simulated annealing, tabu search or genetic algorithms. The aim of this paper is to present the advantages and benefits of metaheuristicss in optimization of DG allocation in the distribution network.
Keywords: Distributed generation; Optimization; Tabu search; Simulated annealing; Genetic algorithms (search for similar items in EconPapers)
JEL-codes: C61 L94 P28 Q42 (search for similar items in EconPapers)
Pages: 8 pages
Date: 2011
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Citations:
Published in Conference Proceedings REE'12, 8-10 May 2012, Kazimierz Dolny, Poland, 143-148.
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http://www.im.pwr.wroc.pl/~hugo/RePEc/wuu/wpaper/HSC_11_07.pdf Draft version, 2011 (application/pdf)
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