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:: Volume 7, Issue 13 (9-2018) ::
ieijqp 2018, 7(13): 6-14 Back to browse issues page
Fault Current Limiter Placement Using Multi-Objective Particle Swarm Optimization
Ehsan Azad Farsani Dr , Hossein Bahramian , Amir Hosseini , Hossein Askarian Prof
Abstract:   (260 Views)

The presence of distributed generations (DGs) in the power systems is causing problems such as increasing the short circuit current levels which may exceed the rating of existing circuit breakers and can damage system equipment. The utilization of fault current limiters (FCLs) in the network can be an effective method to overcome the above problems. Furthermore, FCL has the benefits such as improving the system security and reliability. FCL benefits depend on the number, installation location, and impedance of FCL. For this end, we require a method to determine the optimum number, impedance and locations for FCL placement. In the considered method, we have modeled the FCL placement as an optimization problem while the objectives are; bus fault current difference, reliability, the number and impedance of FCLs. Moreover, to solve the proposed problem, a new multi-objective optimization algorithm based on particle swarm optimization has been implemented. In the algorithm, several iterations have been considered, and the non-dominated solutions are extracted and stored in an external repository in the iterations. Finally, a fuzzy clustering technique is used to control the size of the repository during the algorithm evolution. The proposed approach is tested on a test system, namely, RBTS 2 . The obtained results demonstrate the effectiveness and feasibility of the new method.

Keywords: DG, FCL Placement, multi-objective optimization algorithm based on particle swarm optimization (MPSO)
Full-Text [PDF 1220 kb]   (114 Downloads)    
Type of Study: Research | Subject: Special
Received: 2017/02/19 | Accepted: 2017/11/4 | Published: 2018/08/25


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Azad Farsani E, Bahramian H, Hosseini A, Askarian H. Fault Current Limiter Placement Using Multi-Objective Particle Swarm Optimization . ieijqp. 2018; 7 (13) :6-14
URL: http://ieijqp.ir/article-1-418-en.html


Volume 7, Issue 13 (9-2018) Back to browse issues page
نشریه علمی- پژوهشی کیفیت و بهره وری صنعت برق ایران Iranian Electric Industry Journal of Quality and Productivity
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