- International Journal of Engineering Science and Application
- Volume:2 Issue:4
- PMU and FMU Based Investigation of the Effect of Static System State Estimation on the Performance o...
PMU and FMU Based Investigation of the Effect of Static System State Estimation on the Performance of a Transmission Network
Authors : İfedayo OLADEJİ, Micheal ADU
Pages : 123-132
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Publication Date : 2018-12-28
Article Type : Research Paper
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 insert ignore into journalissuearticles values(PMUs); installed at remote terminal units insert ignore into journalissuearticles values(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 insert ignore into journalissuearticles values(PSAT); shows 32.5% and 50% variances of state variables above 1%. Static state estimation insert ignore into journalissuearticles values(SSE); with PMU also provided improvement in the network performance through transmission loss reduction and overall system stability. A real time data acquisition insert ignore into journalissuearticles values(PMU); and data analysis system insert ignore into journalissuearticles values(SSE); is required to fully model, accurately characterise and ensure secured operation of the network under steady state and transient conditions.Keywords : State estimation, Phasor measurement units PMU, , Weighted least square, Steady state stability, Transient Stability