SCADA-Oriented State Estimation

Beiβler, G.; Neisius, Hans-Theo; Schellstede, G.; Slutsker, I.W.; Mirheydar, M.

doi:10.1016/s1474-6670(17)46441-x

Cited by 2 publications

(2 citation statements)

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“…The data retrieved no longer represents the system state accurately. The incorrect and inaccurate data of the SCADA system lead to deviation between the power system real values and the sampling data calculated at time frames of simulation [8].…”

Section: A the Scada-oriented State Estimator (Sose)mentioning

confidence: 99%

“…The system is completely observable through SCADA; real time data was retrieved from Alexandria Regional Control Center (ARCC).Whereas PMU data were generated using the time domain transient stability program "Power System Analysis Toolbox (PSAT)" [22]. The optimal PMU placement (OPP) fixed a little set of PMUs such that the major part of system is observable [8]. Five PMUs were placed at buses 2, 4, 9, 16, and 18 as shown in Figure (3), installed PMUs at buses make direct synchronized measurements of the voltage phasor and the current phasors of some or all the branches attached to the buses.…”

Section: B the Second Step Mathematics Algorithmmentioning

confidence: 99%

See 1 more Smart Citation

Enhanced Performance of Developed Two-Step (Hybrid/PMU) Linear State Estimator Model

Khamis¹,

Abbasy²

2019

IJMO

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This paper proposes a novel hybrid state estimation method. In traditional EMS (Energy Management System), the ordinary hybrid state estimation technique employs both conventional measurements from the SCADA (Supervisory Control and Data Acquisition) and PMU (Phasor Measurements Unit) measurements in the state estimation software. Alternatively PMU measurements can be added through a post-processing or pre-processing step with the results of traditional state estimator to obtain the final estimation results. While this paper presents a new two-step (hybrid/PMU) algorithm where the first step adopts a hybrid state estimation SCADA/PMU and the second step is a linear state estimation comprises PMU measurements and the state vector resulting from the first step; consequently a double hybridization is achieved. Alexandria (330 km north Cairo, Egypt) 22-bus system is used as case study. The simulation results demonstrate that the proposed algorithm enhances the precision and accuracy of state estimation greatly because the PMU measurements hybridize in two successively steps. Better dynamic behavior as compared with other state estimators is obtained.

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Section: A the Scada-oriented State Estimator (Sose)mentioning

confidence: 99%

Section: B the Second Step Mathematics Algorithmmentioning

confidence: 99%