Fuzzy Embedded Genetic Algorithm Method for Distributed Generation Planning

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This article proposes a novel methodology that employs fuzzy set theory and the genetic algorithm for formulation and evaluation of a multi-objective function, respectively, for optimal planning of distributed generator units. The effectiveness of the proposed method is tested using various systems of different sizes and configurations and is validated by comparing the results with that of the weighted sum method. The dependence of existing methods on global preference information of decision maker is overcome in this method. Further, different types of distributed generator models are also employed to demonstrate the importance of the use of a precise distributed generator model and the adaptability of the proposed method in distributed generator planning studies.

Keywords: distributed generator model; distributed generator siting and sizing; fuzzy set theory; genetic algorithm; multi-objective optimization

Document Type: Research Article

DOI: http://dx.doi.org/10.1080/15325008.2010.528533

Affiliations: Department of Electrical and Electronics Engineering, National Institute of Technology, Tamilnadu, India

Publication date: January 1, 2011

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