Design and Implementation of Power System Optimization Using Particles Swarm Algorithms
(International Journal of Engineering Works)
Vol. 4, Issue 10, PP. 196-103, October 2017
PSO, Optimal Power Flow, Particle Swarm Optimization, Grid Optimization, Reactive Dispatch
This study aims to develop a power system optimization simulation environment for one of Electrical Supply Grid in Peshawar Region where theoretical, calculated and collected data is used and proposes enhancements in the distribution system as per the results of the simulation of the Particle Swarm Optimizer and Newton Rhapson Algorithm on it. The simulation framework is cross-evaluated on the IEEE-30 Bus bar system and compared with eminent researches in this field. The results are plotted and tabulated first as a comparison and then as a proposed model for Peshawar Region’s selected substations and the involved grid.
- Engr. Haleem Zahir Shah is M.Sc research scholar in Department of Electrical Engineering, University of Engineering and Technology, Peshawar, Pakistan. Cell: 0092-3348908901 E-mail: firstname.lastname@example.org
- Dr. Muhammad Naeem Arbab is Professor in Department of Electrical Engineering, University of Engineering and Technology, Peshawar, Pakistan. Cell: 0092-333-9108908, E-mail: email@example.com
Engr. Haleem Zahir Shah, Dr. Muhammad Naeem Arbab, "Design and Implementation of Power System Optimization Using Particles Swarm Algorithms" International Journal of Engineering Works, Vol. 4, Issue 10, PP. 196-103, October 2017.
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