Enhanced Cyber Physical Security Based Automatic Generation Control with Renewable Energy System

Abstract

Photovoltaic (PV) systems are becoming more vulnerable to cyber threats.Developing cyber-secure power electronics converters has received increased attention from the IEEE power electronics society (PELS) that recently launched a cyber-physical-security initiative.The multilayer long short-term memory networks (MLSTM) are used to leverage time-series electric waveform data from current and voltage sensors in PV systems.Comparison results verify performances of the proposed method for detection and diagnosis of various data integrity attacks on PV systems.