برگزار شده توسط : دانشگاه شاهرود
هجدهمین کنفرانس بین المللی حفاظت و اتوماسیون در سیستم های قدرت
تاریخ برگزاری : 19 دي ماه 1402
Fault Detection and Classification in Parallel and semi-parallel Transmission Lines Connected to Large-Scale Photovoltaic Power Plants Using Artificial Neural Networks and Support Vector Machines
علیرضا جدائی , زهرا مروج , محمد پازکی
Sustainable energy supply and the increasing use of large-scale photovoltaic power plants (LSPPPs) demand stronger and more reliable transmission systems. Parallel transmission lines are widely employed in modern power systems to enhance the reliability and security of electrical energy transmission. With the need for energy transfer from LSPPPs and the impact of LSPPPs of changing the nature of faults, parallel transmission lines face new challenges. This paper investigates the detection and classification of faults with various characteristics in parallel and semi-parallel transmission lines using Artificial Neural Networks (ANNs) and Support Vector Machines (SWM). This approach facilitates the enhancement of efficiency and confidence in transmission systems and contributes to organizing stable and reliable performance in these systems. For simulation and analysis, the PSCAD/EMTDC software is employed to simulate the model of parallel and semi-parallel transmission lines connected to LSPPPs. Subsequently, the three-phase current signal values and the positive sequence voltage angle signals of the two buses connected to the transmission line are extracted, processed, and divided into training and testing data using MATLAB software. Then, these two methods have been compared. The results demonstrate that ANN and SWM are capable of accurately detecting and classifying faults with high precision.
Parallel transmission line, Protection of transmission line, Distance protection, Large-scale photovoltaic power plants, Artificial neural network, Support Vector Machines.
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, 1402 , Fault Detection and Classification in Parallel and semi-parallel Transmission Lines Connected to Large-Scale Photovoltaic Power Plants Using Artificial Neural Networks and Support Vector Machines , هجدهمین کنفرانس بین المللی حفاظت و اتوماسیون در سیستم های قدرت
تاریخ برگزاری : 19 دي ماه 1402