A novel hybrid state estimator for including synchronized phasor measurements

Bi, Tianshu; Qin, Xiaohui; Qi, Yang

doi:10.1016/j.epsr.2007.12.002

Cited by 133 publications

(66 citation statements)

References 11 publications

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“…3, compares the optimal and greedy-based theoretical ARMSE curves as a function of the number of PMUs, when σ L = 0.5 (50%) and σ P MU = 0.001 (0.1%). The sequence based on the greedy placement algorithm (excluding the feeder at node 1) is M gr (N ) = {3, 7,13,15,10,14,8,12,5,11,6,9,4, 2}. Although the PMU placement is in general different for the two strategies (for up to 4 PMUs the optimal placement sets are…”

Section: Simulation Resultsmentioning

confidence: 99%

“…More recently, the introduction of phasor measurement units (PMUs) in transmission networks has increased the accuracy of SE algorithms, by measuring not only voltage magnitudes, but also voltage angle differences at different nodes [2]. However, since PMUs are still expensive, most of the recently proposed SE algorithms rely on measurements from a small number of PMUs along with conventional (magnitude only) measurements, as for example in [3], [4]. So the SE problem remains intrinsically nonlinear and hard to solve.…”

Section: Introductionmentioning

confidence: 99%

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Bayesian linear state estimation using smart meters and PMUs measurements in distribution grids

Schenato

Barchi

Macii

et al. 2014

2014 IEEE International Conference on Smart Grid Communications (SmartGridComm)

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Abstract-In this work we address the problem of static state estimation (SE) in distribution grids by leveraging historical meter data (pseudo-measurements) with real-time measurements from synchrophasors (PMU data). We present a Bayesian linear estimator based on a linear approximation of the power flow equations for distribution networks, which is computationally more efficient than standard nonlinear weighted least squares (WLS) estimators. We show via numerical simulations that the proposed strategy performs similarly to the standard WLS estimator on a small distribution network. A key advantage of the proposed approach is that it provides explicit off-line computation of the estimation error confidence intervals, which we use to explore the trade-offs between number of PMUs, PMU placement and measurement uncertainty. Since the estimation error in distribution systems tends to be dominated by uncertainty in loads and scarcity of instrumented nodes, the linearized method along with the use of high-precision PMUs may be a suitable way to facilitate on-line state estimation where it was previously impractical.

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Section: Simulation Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Bayesian linear state estimation using smart meters and PMUs measurements in distribution grids

Schenato

Barchi

Macii

et al. 2014

2014 IEEE International Conference on Smart Grid Communications (SmartGridComm)

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“…The mixed measurement state estimation model, which introduces node voltage phasors and branch current phasors through PMU [36], can be denoted as:…”

Section: Proposed Power System State Estimation Methodsmentioning

confidence: 99%

A Mixed WLS Power System State Estimation Method Integrating a Wide-Area Measurement System and SCADA Technology

Jin

Shen

2018

Energies

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Abstract:To address the issue that the phasor measurement units (PMUs) of wide area measurement system (WAMS) are not sufficient for static state estimation in most existing power systems, this paper proposes a mixed power system weighted least squares (WLS) state estimation method integrating a wide-area measurement system and supervisory control and data acquisition (SCADA) technology. The hybrid calculation model is established by incorporating phasor measurements (including the node voltage phasors and branch current phasors) and the results of the traditional state estimator in a post-processing estimator. The performance assessment is discussed through setting up mathematical models of the distribution network. Based on PMU placement optimization and bias analysis, the effectiveness of the proposed method was proved to be accurate and reliable by simulations of different cases. Furthermore, emulating calculation shows this method greatly improves the accuracy and stability of the state estimation solution, compared with the traditional WLS state estimation.

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“…An overview of literature reveals that there are many hybrid models proposed, such as the one that takes the rectangular format of the phasors of current into a measurement vector in order to mitigate convergence issues [7]. On the other hand, in order to avoid the propagation of uncertainties, in the estimator proposed in [8] the measurements are used directly without any transformation, but they are subjected to a set of constraints.…”

Section: Introductionmentioning

confidence: 99%

A Synchrophasor Assisted Hybrid State Estimator

Kirinčić

Skok

Franković

2016

Journal of Electrical Engineering

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The paper presents a Synchrophasor Assisted Hybrid State Estimator that utilizes the conventional SCADA measurements and the synchrophasors obtained from Phasor Measurement Units (PMUs). To take advantage of the high sampling frequency of the multiple sets of synchrophasors they are preprocessed in a recursive algorithm that provides the state estimate for the power system part observable by PMUs. The results are forwarded to an iterative procedure in which they are combined with SCADA measurements. The given solution was applied on the IEEE test systems with 14, 30 and 57 buses and its performance was compared with other state estimators. The filtering of measurement errors and convergence, while providing improved accuracy of the final state estimates of the developed methodology can be compared with other hybrid state estimators.

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A novel hybrid state estimator for including synchronized phasor measurements

Cited by 133 publications

References 11 publications

Bayesian linear state estimation using smart meters and PMUs measurements in distribution grids

Bayesian linear state estimation using smart meters and PMUs measurements in distribution grids

A Mixed WLS Power System State Estimation Method Integrating a Wide-Area Measurement System and SCADA Technology

A Synchrophasor Assisted Hybrid State Estimator

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