Distributed Real-Time Dynamic Security Assessment Using Intelligent Techniques

In real time scenario, transmission (of power) in power systems may not be always ideal i.e. they may be interrupted. As a result, the synchronization among the power generating modules may be lost. Loss of synchronization has a direct effect on the stability of power generators. Generally time domain simulation (TDS) is used to examine the stability but TDS is a time consuming process, hence we are required to explore other approaches. Accurate real-time security assessment is necessary to facilitate operations close to the stability limits. Hence for this purpose a distributed time efficient approach has been adopted to predict future values of system parameters and use the same to predict future stability of power generating modules by partially using artificial neural network and fuzzy interference system based on European Network of Transmission System Operators for Electricity (ENTSO-E) defined criteria.