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Power system reliability evaluation using learning vector quantization and Monte Carlo simulation |
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| Affiliation: | 1. Wireless and Signal Processing Lab, Institute of Space Technology Islamabad, Pakistan;2. Networks and Blockchain Laboratory, Institute of Information Security and Cyber-Physical System, Innopolis University, Innopolis, Russia;3. API Delivery and Operations Squad, Royal Bank of Canada, Toronto, Canada |
| Abstract: | Artificial Neural Networks (ANN) based on the Learning Vector Quantization (LVQ) algorithm have received considerable attention as pattern classifiers. This paper proposes a new method for power system reliability evaluation combining Monte Carlo simulation and LVQ which greatly reduces the computing burden of the loss of load probability calculation compared to Monte Carlo simulation only. A case study of the IEEE RTS system is presented demonstrating the efficiency of this approach. |
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