Fixed Head Short Swarm Optimization

M. Umair Ali; B. Habib; M. Iqbal

Author(s)

M. Umair Ali Department of Electrical Engineering, Wah Engineering College, University of Wah,Wah Cantt,PakistanMaster of Engineering Thesis in Power Systems & Electric Drives (Supervised by Mr. Nitin Narang),2009,Pakistan

B. Habib Department of Electrical Engineering, Wah Engineering College, University of Wah,Wah Cantt,PakistanMaster of Engineering Thesis in Power Systems & Electric Drives (Supervised by Mr. Nitin Narang),2009,Pakistan

M. Iqbal Department of Electrical Engineering, University of Engineering and Technology,Taxila,PakistanMaster of Engineering Thesis in Power Systems & Electric Drives (Supervised by Mr. Nitin Narang),2009,Pakistan

Abstract

Complications of optimization problem associated with Fixed Head Short Term Hydrothermal Scheduling (STHTS) are not only greatly obscure but also enclose numerous constraints. Generally non-linear, non-convex and clustered search space is connected with STHTS problem. Number of techniques, from simplex to complex, have already been used and implemented by research scholars in order to solve STHTS and management related problems. A very powerful and robust technique is necessary to efficiently optimize STHTS problem. With this objective, Improved Particle Swarm Optimization technique implemented here to comparatively better optimize STHTS problem.

Publication Details

Page(s) 107-114

DOI DOI not available

Published Journal: Nucleus, Volume: 52, Issue: 3, Year: 2015

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Keywords

Scheduling, IPSO, Global Best Local Best, Improved, Fixed Head STHTS