چکیده مقاله
In this paper, an application of Imperialistic Competetive Algorithm ICA is presented to improve the fault section estimation performance in power systems By employing the proposed method, faulty sectors can be estimated accurately among voluminous alarms Moreover, using the selected algorithm the feasibility of inaccurate diagnosis is reduced The proposed method is versatile and can deal with uncertainties in fault section estimation such as the cases with failure performance of relays and circuit breakers, or multiple faults simultaneously Using the method, the fault diagnosis can be accomplished in a very short time for large scale power systems In order to validate the effectiveness of ICA, the method is applied on simulated and practical power systems and the results are compared to results of some other optimization algorithms i e Cuckoo Optimization Algorithm COA Differential Evolution DE , Artificial Bee Colony ABC , Conventional Particle Swarm Optimization CPSO and a modified version of it known as Type1 PSO T1PSO The results demonstrate the superiority of the proposed method compared to other methods
کلیدواژهها
نویسندگان
Oveis Asgari Gashteroodkhani
Amirkabir university of technology Tehran Polytechnic
Behrooz Vahidi
Amirkabir university of technology Tehran Polytechnic
شیوه ارجاع
Asgari Gashteroodkhani, Oveis and Vahidi, Behrooz,1394,Application of Imperialistic Competitive Algorithm to Fault Section Estimation Problem in Power Systems,International Conference on New Research Findings in Electrical Engineering and Computer Science,Tehran
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