چکیده مقاله
In this paper proposed a Methodology for the online monitoring and assessment of voltage stability margins VSM , using artificial neural networks and input data from the local phasor measurement unitsin power system In this methodology, first the system model is simulated using digisilent 14 Then Optimal PMU placement was carried out considering outage line operating conditions whit application of GA algorithm and supervised learning ofartificialneural networks is carried out on the basis of this model Finally, on the basis of trained network and the set of system variables, monitoring is carried out along with the assessment of voltage stability margins for power system buss Results for studiedbased on the New England 39 bus power systemhave been obtained to demonstrate the effectiveness of the algorithm
کلیدواژهها
نویسندگان
Sona Aghajanian
Student at Miyaneh branch, Islamic Azad University
Mehdi Gholami
Zanjan branch, Islamic Azad University
Sina Aghajanian
Student at Zanjan University,
Reza Abbasi
teacher of Zanjan education office
شیوه ارجاع
Aghajanian, Sona and Gholami, Mehdi and Aghajanian, Sina and Abbasi, Reza,1395,PMU based monitoring and forecasting of power system voltagestability by using neural networks,2nd National Congress of Electrical and Computer Engineering of Iran,Ramsar
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