State estimation and bad data processing for systems including PMU and SCADA measurements

Korres, George N.; Manousakis, Νikolaos M.

doi:10.1016/j.epsr.2011.03.013

Cited by 146 publications

(71 citation statements)

References 19 publications

(18 reference statements)

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“…A seemingly natural idea is to treat the PMU measurements as an additional set similar to the RTU measurements. Note the fact reported in [3], [14], that the standard deviation of the errors of PMU measurements is one to two order magnitude less than the one of traditional RTU measurements. Unfortunately, since the PMU measurements are much more accurate than the RTU measurements, including these two kinds of measurements in the estimation process often results in ill-conditioned filtering procedure due primarily to the low covariance matrix for the PMU measurement noises.…”

Section: B Pmu Measurements and Inequality Constraintsmentioning

confidence: 99%

“…In RTU measurements, one bus is usually chosen as the reference bus for all the other buses to obtain the relative phase angles, while in PMU measurements, all PMU measurements provide the direct phase angles with respect to the time reference provided by the GPS system. In this paper, we use both RTU and PMU measurements, and therefore all the bus phase angles are relative to the reference dictated by the GPS [14]. As a result, no reference buses are needed.…”

Section: A System Model With Missing Rtu Measurementsmentioning

confidence: 99%

“…In other words, only states of partial buses could be measured directly by PMUs and the rest would have to be estimated by using the conventional RTUs. As such, an emerging research issue is how to integrate PMU measurements into traditional SE algorithms, and this issue has started to gain some initial research attention, see [3], [14]- [16], [22], [24]. It should be noted that all the corresponding results available in the literature have been concerned with static SE problems, and the DSE problem in the presence of partial PMU involvements remains as a challenging topic of research [12].…”

Section: Introductionmentioning

confidence: 99%

“…And due to their intrinsic advantages, the phasor measurement units (PMU) have made it possible to measure the system states in a more accurate and timely way as compared with the traditional measurements. Unfortunately, for economic reasons, it is not affordable to replace all the RTUs with PMUs in the foreseeable future [14], [22]. In other words, only states of partial buses could be measured directly by PMUs and the rest would have to be estimated by using the conventional RTUs.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

A Constrained Optimization Approach to Dynamic State Estimation for Power Systems Including PMU and Missing Measurements

Wang

Rahman

et al. 2015

IEEE Trans. Contr. Syst. Technol.

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Abstract-In this paper, a hybrid filter algorithm is developed to deal with the state estimation problem for power systems by taking into account the impact from the phasor measurement units (PMU). Our aim is to include PMU measurements when designing the dynamic state estimators for power systems with traditional measurements. Also, as data dropouts inevitably occur in the transmission channels of traditional measurements from the meters to the control centre, the missing measurement phenomenon is also tackled in the state estimator design. In the framework of extended Kalman filter (EKF) algorithm, the PMU measurements are treated as inequality constraints on the states with the aid of the statistical criterion, and then the addressed state estimation problem becomes a constrained optimization one based on the probability-maximization method. The resulting constrained optimization problem is then solved by using the particle swarm optimization (PSO) algorithm together with the penalty function approach. The proposed algorithm is applied to estimate the states of the power systems with both traditional and PMU measurements in the presence of probabilistic data missing phenomenon. Extensive simulations are carried out on the IEEE 14-bus test system and it is shown that the proposed algorithm gives much improved estimation performances over the traditional EKF method.

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Section: B Pmu Measurements and Inequality Constraintsmentioning

confidence: 99%

Section: A System Model With Missing Rtu Measurementsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Constrained Optimization Approach to Dynamic State Estimation for Power Systems Including PMU and Missing Measurements

Wang

Rahman

et al. 2015

IEEE Trans. Contr. Syst. Technol.

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show abstract

“…Figure 8 is the measurement configuration diagram of the IEEE 14 bus system [38]. The PMU is installed on buses 2, 7 and 9.…”

Section: Ieee 14 Bus Systemmentioning

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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Linear tracking sequential hybrid power system state estimator

Devara¹,

Kumari

2021

Int Trans Electr Energ Syst

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State estimation and bad data processing for systems including PMU and SCADA measurements

Cited by 146 publications

References 19 publications

A Constrained Optimization Approach to Dynamic State Estimation for Power Systems Including PMU and Missing Measurements

A Constrained Optimization Approach to Dynamic State Estimation for Power Systems Including PMU and Missing Measurements

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

Linear tracking sequential hybrid power system state estimator

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