2017 International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS) 2017
DOI: 10.1109/iciiecs.2017.8276038
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State estimation in power system using weighted least squares method

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Cited by 7 publications
(3 citation statements)
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“…The state estimation procedure is performed for an electrical power network by taken into account the set of measurement like voltage measurement, current measurement, power flows, power injections, transformers tap setting. The estimated state variables are used for contingency analysis, penalty factor calculation voltage stability assessment, optimal power flow and load forecasting, on-line system security assessment [4]. Power system network is monitor by many sensors such as phasor measurement units, current transformers, relay and potential transformer.…”
Section: Figure 1 State Estimatormentioning
confidence: 99%
See 1 more Smart Citation
“…The state estimation procedure is performed for an electrical power network by taken into account the set of measurement like voltage measurement, current measurement, power flows, power injections, transformers tap setting. The estimated state variables are used for contingency analysis, penalty factor calculation voltage stability assessment, optimal power flow and load forecasting, on-line system security assessment [4]. Power system network is monitor by many sensors such as phasor measurement units, current transformers, relay and potential transformer.…”
Section: Figure 1 State Estimatormentioning
confidence: 99%
“…Least square estimate is a statistical technique that has been employed in order to minimize or maximize the statistical property of the estimation [3]. The evaluating criteria is based on shrinking the sum of the square between estimated and measured values of a state variable [4]. This unreliability arises from metering errors, error from remote communication.…”
Section: Introductionmentioning
confidence: 99%
“…Power system state estimate must be undertaken to validate the accuracy of the measurements in case of faulty data [2]. Least square estimate is a statistical technique that has been employed in order to minimize or maximize the statistical property of the estimation [3]. The evaluating criteria is based on shrinking the sum of the square between estimated and measured values of a state variable [4].…”
Section: Introductionmentioning
confidence: 99%