Risk Management Frameworks and Methodologies for Modern and Resilient Power Systems Planning Using Machine Learning Techniques

Abstract

Renewable energy technologies, customer behaviour, and new regulations are key factors contributing to a change in power generation paradigm that is becoming increasingly decentralized and embedded in the distribution network. The new paradigm, together with strong opportunities, is bringing challenges for power networks that must be adequately anticipated and planned to maintain the security and reliability of the power supply. This research addresses two key challenges for developed power networks and one challenge for developing networks located in countries vulnerable to extreme weather events. For developed power networks, this research formulated risk assessment models based on Artific..