Estimation of voltage stability index in a power system with Plug-in Electric Vehicles

A Multilayer Perceptron (MLP) neural network based approach for estimation of the voltage stability L-index in a power system with Plug-in Electric Vehicles (PEVs) is presented. This technique overcomes the limitations of direct calculation of L-index from measurements at a load bus. The L-index calculation is dependent upon the no-load voltage phasor for any given system topology and operating condition. In practice it is difficult to obtain no-load voltage phasor at a bus each time the system topology or operating point changes. An MLP neural network based method capable of estimating voltage stability L-index at a load bus using direct measurements and that does is independent of the no-load voltage phasor of the bus is presented. Results show that the MLP accurately estimates the voltage stability L-index for different cases of system topologies and operating conditions.