A new Optimal Power Flow Algorithms using Particle Swarm Optimization by Matlab. Program | ||||
| The International Conference on Electrical Engineering | ||||
| Article 50, Volume 9, 9th International Conference on Electrical Engineering ICEENG 2014, May 2014, Page 1-10 PDF (176.49 K) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/iceeng.2014.30462 | ||||
 View on SCiNiTO | ||||
| Author | ||||
| M. Sherif M. Fahmy | ||||
| Egyptian Armed Forces. | ||||
| Abstract | ||||
| This paper study, Particle Swarm Optimization for the solution of the optimal power flow (OPF) is studied. Traditionally, classical optimization methods were used to effectively solve OPF. But more recently due to incorporation of Flexible A.C. Transmission System (FACTS) devices and deregulation of a power sector, the traditional concepts and practices of power systems are superimposed by an economic market management. So OPF have become complex. (FACTS) family using power electronics to control power flow and improve transient stability on power grids [1]. In recent years, Artificial Intelligence methods (GA etc) have emerged which can solve highly complex OPF problems. 30-bus system has been studied to show the effectiveness of the algorithm. | ||||
| Keywords | ||||
| particle swarm optimization (PSO); Flexible A.C. Transmission System (FACTS); Optimal Power Flow (OPF) | ||||
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