An optimal renewable portfolio standard using genetic algorithm-benders' decomposition method in a least cost approach

This paper presents the Least Cost Renewable Energy Portfolio Analysis (LCREPA) approach that utilizes the Genetic - Algorithm Benders' decomposition (GA-BD) method, which could achieve an order of magnitude of improvement in terms of run times at larger instances, in determining the optimal Re...

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Bibliographic Details

Main Author:	Rañola, Jo Ann P.
Format:	Thesis
Language:	English
Published:	2012.
Subjects:	Renewable energy. Electric power systems. Genetic algorithms. Renewable Portfolio Standard (RPS). Least Cost Renewable Energy Portfolio Analysis (LCREPA). Genetic - Algorithm Benders' decomposition (GA-BD).