Implementation of Additive and Divisive Clustering based Unit Commitment Employing Particle Swarm Optimization

摘要

The generating units that are available need to be properly committed in order to obtain good savings on Fuel Cost. The reduction of fuel cost employing a new methodology based on classification of units into different groups based on Particle Swarm Optimization has been proposed in this paper. The problem of Unit Commitment has indeed become a vital task in the day today operation of power systems and can be viewed as a mathematical problem involving large scale non linear mixed integers. A new methodology engaging the idea of clustering algorithm involving additive and divisive clustering has been utilized built on Particle Swarm Optimization in order to solve the problem of unit commitment. An arrangement with generating units in the range of 10-100 has been employed to test the above technique and the simulation results indeed support the superior performance of the method.