• R.V.Parimala
• Raghunath Reddy K
• Vaishnavi S
• Sadhu Sesha Sreeja

The complexity of power system monitoring, and control is increasing rapidly due to factors like long- distance power haulage, integration of renewable energy sources and large seasonal load variations, demand growth, increasing machine size. With increasing number of power system operation, it is very important to estimate the present state of a power system. In any power system the demand should be supplied by the generation if the demand requirement is not met it might result in outage. To prevent this state estimation is one of the important techniques. The Supervisory control and data acquisition (SCADA) are used to perform state estimation process. The data measured is not very accurate. Phasor measurement unit (PMU) can be used to increase the accuracy, it gives time stamped data which is more reliable when compared to normal data. In this paper we designed an algorithm to perform state estimation on IEEE-14 and IEEE-30 bus and we discuss how the measurement error has been minimized when PMU is used along with SCADA. Weighted least square (WLS) and GM-estimator are used for state estimation and the results are compared. In order to validate the results Newton Raphson method, a theoretical solution for state estimation is solved.

SCADA, PMU, Weighted least square, GM-estimator

"PMU based real time power system state estimation", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.38-43, May-2019, Available :http://www.jetir.org/papers/JETIRCJ06009.pdf

"PMU based real time power system state estimation", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp38-43, May-2019, Available at : http://www.jetir.org/papers/JETIRCJ06009.pdf