PMU and FMU Based Investigation of the Effect of Static System State Estimation on the Performance of a Transmission Network

Abstract

The characterisation of a power system at every operating state is a requirement for reliable and secured operation. This paper presents the evaluation of the state variables of a power system with static state estimation under steady state and transient conditions. Power flow for evaluation of the initial system variables was obtained through Newton Raphson algorithm. Real time system data is obtained through the phasor measurement units (PMUs) installed at remote terminal units (RTUs) of each load points. Weighted least square estimation method is applied on the initial state parameters; power flows, voltage magnitudes and angles and frequency obtained from the load flow evaluation to obtain reliable and final system state parameters. The result obtained through simulation of a 40 bus network on MATLAB (PSAT) shows 32.5% and 50% variances of state variables above 1%. Static state estimation (SSE) with PMU also provided improvement in the network performance through transmission loss reduction and overall system stability. A real time data acquisition (PMU) and data analysis system (SSE) is required to fully model, accurately characterise and ensure secured operation of the network under steady state and transient conditions.