Paper Details: Downloads: 630
Serial Number: P1121117560
Title: Implementation of Agglomerative and Divisive Cluster Algorithm for Unit Commitment Solution based on Genetic Algorithm
Authors: N.Malla Reddy and N.V.Ramana and K.Ramesh Reddy
Abstract: A new methodology for the most complex unit commitment problem using agglomerative and divisive hierarchical clustering by using genetic algorithm has been presented in this paper. Depending upon the generation cost of units, similar type of units is placed in a cluster. This cost is also useful for preparing priority lists of the units in a cluster and forming the various clusters. Proposed methodology has two individual algorithms. While the load is increasing, agglomerative cluster algorithm is proposed. Divisive cluster algorithm is used when the load is decreasing. The search is carried for the preparation of priority list by using genetic algorithm for optimal solution from a minimal number of clusters and cluster data points. The performance of the method is evaluated on a standard ten thermal unit power system for a period of 24 hours. Numerical results are presented and compared with the existing popular methods in most judicious way.
Keywords: Genetic Algorithm, Agglomerative Cluster, Divisive Cluster, Unit Commitment
Journal/Conference: International Journal of Artificial Intelligence and Machine Learning
Volume: 11
Issue: 1
Submission Date: 4/27/2011 12:00:00 AM
Review Date: 5/22/2011 12:00:00 AM
Publishing Date: 6/12/2011 12:00:00 AM
Article Downloads: 630
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