PMU-Based Estimation of Voltage-to-Power Sensitivity for Distribution Networks Considering the Sparsity of Jacobian Matrix

Li, Peng; Su, Hongzhi; Wang, Chengshan; Liu, Zhelin; Wu, Jianzhong

doi:10.1109/access.2018.2841010

Cited by 27 publications

(10 citation statements)

References 38 publications

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“…The requisite constraints to assure the full observability of the 11-bus feeder from Figure 2, are given by equation (7).…”

Section: B Observability Analysis Under Normal Condtionsmentioning

confidence: 99%

“…From the above expression, a plus ("+") sign represents arithmetical summation, and one ("1") signifies that at least one variable in the summation is expected to be nonzero. For instance, the inequality constraint from the expression (7) specifies that at the least one measuring unit intended to be placed at the first or second node (or the two of) for bus one to have complete observability. The solution for optimal PMU placement of Figure 1…”

Section: B Observability Analysis Under Normal Condtionsmentioning

confidence: 99%

“…Multi-area parameter estimation is proposed as a solution for distribution grid monitoring issues in [6]; this methodology depends on an improved version of the weighted least squares (WLS) method, which permits to know how the information is shared among the different overlapping nodes with different neighboring zones. An online method to estimate the parameters using PMU measurements based on the least square estimation technique has been proposed in [7]. This paper contributes an online estimation technique to measure voltage and current states under high DG penetration [8].…”

Section: Introductionmentioning

confidence: 99%

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Voltage Estimation of Active Distribution Network Using PMU Technology

Tangi

Gaonkar

2021

IEEE Access

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As the Distributed Generation (DG) is evolving, the distribution network has undergone tremendous change. The DG sources like wind and solar are intermittent in nature. Hence to estimate the Active distribution network's (ADN) parameters (Voltage and Current) accurately with the DG variation, the traditional offline method like long-term smart distribution network planning (with off-line variant) method is not feasible in terms of network's reliability and operation. In this work, an online voltage estimation technique using PMU (Phasor Measurement Unit) technology is proposed to enhance a distribution network's reliable operation and real-time monitoring. The proposed estimation method does not require PMU units at all nodes in the network. The estimation of unknown states information can be achieved from available PMU unit's data. The proposed methodology is economical and feasible for voltage estimation, and system observability as the number of PMU units required is less. The standard IEEE Distribution network systems are considered for checking the feasibility of the recommended technique. For the simulation of the case studies, MATLAB programming is used. A Forward and Backward sweep (FBS) load-flow algorithm is used to authenticate the proposed methodology.

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“…The requisite constraints to assure the full observability of the 11-bus feeder from Figure 2, are given by equation (7).…”

Section: B Observability Analysis Under Normal Condtionsmentioning

confidence: 99%

Section: B Observability Analysis Under Normal Condtionsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Voltage Estimation of Active Distribution Network Using PMU Technology

Tangi

Gaonkar

2021

IEEE Access

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“…The synchronism of PMU measurements makes it possible to record the output of controllable resources and the voltage changes of the nodes concerned for voltage control. With PMUs configured at all nodes of the network, online estimation method of voltage-to-power sensitivity is proposed in [33].…”

Section: Set Of All Nodesmentioning

confidence: 99%

Augmented Sensitivity Estimation Based Voltage Control Strategy of Active Distribution Networks With PMU Measurement

et al. 2019

IEEE Access

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The application of synchronized phasor measurement technology at distribution networks provides new options for voltage-to-power sensitivity estimation and voltage regulation. An augmented sensitivity estimation-based voltage control strategy with a phasor measurement unit (PMU) measurement is proposed for active distribution networks (ADNs). The voltage control records are extracted from historical synchronized phasor measurements. The voltage-to-power sensitivities reflecting the relationship of voltage change and power fluctuation are estimated with the obtained voltage control records. In addition to the linear parameter, parameters to match the nonlinearity between voltage and power variation and to track the operation conditions are introduced in the fitting model to improve the accuracy of the voltage control strategy. Rule-based and sensitivity-based optimization voltage control methods are proposed using the sensitivities estimated in which the measurements of partial nodes at the distribution network are the only needed data. The voltage control is also realized with faster computation speed. Case studies and analysis on the IEEE 33-node test feeder verify the correctness and effectiveness of the proposed method. INDEX TERMS Active distribution network (ADN), voltage control, phasor measurement unit (PMU), sensitivity estimation. NOMENCLATURE A. ABBREVIATIONS

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“…The broad adoption of PMUs also offers an alternative way to estimate the matrices mentioned above solely from measurement data. In previous literature, authors of [14] utilized high-speed synchronized voltage and current phasor data to determine the power flow Jacobian matrix through linear total least-square estimation; authors of [15] exploited the sparsity of the power flow Jacobian matrix and transformed its estimation into a sparse-recovery problem via compressed sensing; authors of [16] estimated the largest singular value of the inverse Jacobian matrix utilizing PMU data, which serves as a voltage stability indicator. However, the matrix considered in these works is the power flow Jacobian matrix where no dynamic information of the system is embedded.…”

Section: Introductionmentioning

confidence: 99%

Online Measurement-Based Estimation of Dynamic System State Matrix in Ambient Conditions

Sheng

Wang

2020

IEEE Trans. Smart Grid

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In this paper, a purely measurement-based method is proposed to estimate the dynamic system state matrix by applying the regression theorem of the multivariate Ornstein-Uhlenbeck process. The proposed method employs a recursive algorithm to minimize the required computational effort, making it applicable to the real-time environment. One main advantage of the proposed method is model independence, i.e., it is independent of the network model and the dynamic model of generators. Among various applications of the estimated matrix, detecting and locating unexpected network topology change is illustrated in details. Simulation studies have shown that the proposed measurement-based method can provide an accurate and efficient estimation of the dynamic system state matrix under the occurrence of unexpected topology change. Besides, various implementation conditions are tested to show that the proposed method can provide accurate approximation despite measurement noise, missing PMUs, and the implementation of higher-order generator models with control devices.Index Terms-Dynamic system state matrix, Ornstein-Uhlenbeck process, phasor measurement units, topology change.

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PMU-Based Estimation of Voltage-to-Power Sensitivity for Distribution Networks Considering the Sparsity of Jacobian Matrix

Cited by 27 publications

References 38 publications

Voltage Estimation of Active Distribution Network Using PMU Technology

Voltage Estimation of Active Distribution Network Using PMU Technology

Augmented Sensitivity Estimation Based Voltage Control Strategy of Active Distribution Networks With PMU Measurement

Online Measurement-Based Estimation of Dynamic System State Matrix in Ambient Conditions

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