A Robust Dynamic State Estimation Method for Power Systems Using Exponential Absolute Value-Based Estimator

Chen, Tengpeng; Ren, He; Li, Po; Amaratunga, G.A.J.

doi:10.1109/tim.2022.3189743

Cited by 6 publications

(5 citation statements)

References 42 publications

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“…In (11), the aim is to minimize the flexibility contributions (namely the power changes) requested to the controllable sources. To this purpose, the impedance terms R and X are used to consider the effects that different nodes may have on the overall change of the voltage profile.…”

Section: Uncertainty-inclusive Voltage Controlmentioning

confidence: 99%

“…Overall, the formulation of the voltage control used in this paper can be hence summarized as follows: minimize ∆P,∆Q (11) subject to (12), ( 13), ( 15), ( 16) (17) Different voltage control formulations could be potentially applied in the CBA-based meter placement strategy presented in Section III. The requirements for the control application are to integrate the voltage estimates together with the associated uncertainties, as given by the DSSE module, and to provide the set points of required active and reactive power adjustment for the flexibility sources in the grid as output.…”

Section: Uncertainty-inclusive Voltage Controlmentioning

confidence: 99%

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A Meter Placement Strategy for Distribution Grids Based on Cost–Benefit Analysis

Pau,

Ginocchi,

Pacheco

et al. 2024

IEEE Trans. Instrum. Meas.

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Distribution system operators are progressively expanding the measurement infrastructure in their grids in order to enhance the real-time monitoring capabilities. Meter placement algorithms allow identifying the best type and location for new measurements, thus being a key tool in support of meter installation decisions and planning. Existing meter placement solutions aim at reducing the monitoring uncertainties below an arbitrary accuracy threshold, but typically they are not explicitly linked to some tangible benefits achievable by the grid operator via the measurement infrastructure upgrade. This paper aims at filling this gap by presenting an overall meter placement strategy that takes into account how the monitoring uncertainties translate into costs for avoiding contingencies and then drives the meter placement process according to the economic benefit resulting from the reduction of those uncertainties. An exemplary implementation is presented to describe the underlying concepts and the role and functionalities of the different software components involved in the meter placement cost-benefit analysis. Simulations performed on a sample grid show the application of the proposed meter placement strategy in a realistic scenario and highlight how this may be used to determine not only type and location of the new meters but also the number of measurements that makes sense to install according to cost-benefit criteria.

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Section: Uncertainty-inclusive Voltage Controlmentioning

confidence: 99%

Section: Uncertainty-inclusive Voltage Controlmentioning

confidence: 99%

A Meter Placement Strategy for Distribution Grids Based on Cost–Benefit Analysis

Pau,

Ginocchi,

Pacheco

et al. 2024

IEEE Trans. Instrum. Meas.

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“…It has been demonstrated that the impulsive process noise may occur because of the inaccurate system model [29]. In addition, PMU measurements may be contaminated because of cyber attacks or communication failure [30]. Therefore, the process noise distribution obeys 0.97N (0, 5 × 10 −4 ) + 0.03N (0, 5 × 10 −3 ), the measurement noise follows 0.95N (0, 1 × 10 −3 ) + 0.05N (0, 1 × 10 −2 ) and a 15% error is added to the voltage measurements from time steps 4 s to 6 s. The results obtained by DSE approaches are shown in figures 8 and 9.…”

Section: Case 4: Robust To Measurement Outliersmentioning

confidence: 99%

“…• The robust statistical tool known as influence function is used to derive the SE error covariance. • Under different scenarios, the proposed DSE approach can provide higher estimation precision than the CKF [10], H-CKF [33], GM-UKF [29], EAV-UKF [30] and GCL-CKF [32] methods presented in recent years.…”

Section: Introductionmentioning

confidence: 97%

“…In order to deal with outliers, a DSE approach based on the UKF and the GM-likelihood estimator is proposed [29]. A robust DSE approach consisting of the UKF and the exponential absolute value (EAV) formula is presented to handle non-Gaussian noise [30]. The authors in [9] develop a new UKF filter based on minimum error entropy (MEE) criterion.…”

Section: Introductionmentioning

confidence: 99%

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Dynamic state estimation of power systems considering maximum correlation entropy and quadratic function

Chen

Liu

Sun

et al. 2023

Meas. Sci. Technol.

Self Cite

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Uncertainties such as abnormal system inputs, strong model nonlinearities, outliers and impulsive noise unavoidably exist in the power system dynamic state estimation (DSE). The existing Kalman filter-based DSE methods cannot deal with the uncertainties well and can be improved further. In this paper, a robust DSE method based on the maximum correlation entropy (MCE), quadratic function (QF) and the cubature Kalman filter (CKF) is proposed to reduce the effects caused by the uncertainties. The MCE-QF based estimator is robust and can alleviate the influence of uncertainties. A new state estimation error covariance is derived by using the robust statistical tool, influence function. The robustness and estimation precision of the proposed DSE method is demonstrated by conducting simulations on a synchronous generator under different cases.

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Randomised Sampling-Based False Data Injection Attacks Against Power System State Estimators

Mukherjee

2024

2024 IEEE 14th International Workshop on Applied Measurements for Power Systems (AMPS)

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A Robust Dynamic State Estimation Method for Power Systems Using Exponential Absolute Value-Based Estimator

Cited by 6 publications

References 42 publications

A Meter Placement Strategy for Distribution Grids Based on Cost–Benefit Analysis

A Meter Placement Strategy for Distribution Grids Based on Cost–Benefit Analysis

Dynamic state estimation of power systems considering maximum correlation entropy and quadratic function

Randomised Sampling-Based False Data Injection Attacks Against Power System State Estimators

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