Constrained Robust Estimation of Power System State Variables and Transformer Tap Positions Under Erroneous Zero-Injections

Pires, Robson Celso; Mili, Lamine; Lemos, Fernando de Aguiar

doi:10.1109/tpwrs.2013.2284734

Cited by 31 publications

(13 citation statements)

References 30 publications

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“…where χ v,0.975 is the Chi-square statistics for the i th measurement, v stands for the degrees of freedom (number of non-zero items in the i th row in the Jacobian matrix of regular measurements). w i is used only in the right side of ( 14) as a condition and it is evaluated offline from the Jacobian matrix assessed at the flat start voltage profile to save computing time [34], [35].…”

Section: Modified Version Of Psmentioning

confidence: 99%

DSSE in European-Type Networks Using PLC-Based Advanced Metering Infrastructure

Ahmed

Cano

Arboleya

et al. 2022

IEEE Trans. Power Syst.

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This paper addresses the problem of real-time state estimation in European-type four-wire low-voltage distribution networks with advanced metering infrastructure based on power line communication (PLC). The main drawback of this type of infrastructure is its high latency and a sequential data sampling process. Both factors make it difficult to obtain instantaneous values from the smart meters in a timely and adequate manner to estimate the real-time state of the system. This problem may be solved in the future with the deployment of metering systems based on other technologies such as 5G. However, PLC technology prevails in many countries, and is not likely to be replaced in the medium term. In the meantime, a solution is needed to provide acceptable real-time state estimates in low voltage networks, not to hinder the active management of these assets in the context of smart grids. In this work, a solution is proposed that allows estimating the state of the low voltage network with a reasonable accuracy considering the low quality of the measurements provided by the deployed infrastructure. The system is validated using a portion of a real pilot network located in the north of Spain fed by a transformer station with seven feeders.

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Section: Modified Version Of Psmentioning

confidence: 99%

DSSE in European-Type Networks Using PLC-Based Advanced Metering Infrastructure

Ahmed

Cano

Arboleya

et al. 2022

IEEE Trans. Power Syst.

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“…The absolute value of the sensitivity function is evaluated for the 2 10 tap combinations and is organised in ascending order to identify the top-s samples set in the N≅1000 designs. The size of the top-s sample set, called the selected subset, depends on the number of alignments k; the size of the good enough subset, ; the noise characteristic of modelling error; the shape of the ordered performance curve (OPC); and the size of the representative set and alignment probability.…”

Section: Select the Best Subsetmentioning

confidence: 99%

“…There has not been much technical publication in tap observability detection. In [10], the authors proposed a robust algorithm based on Givens rotation of the gain matrix to estimate the state and tap position with erroneous zero injection. The method is reported to work well in Brazilian system models of varying complexity.…”

Section: Introductionmentioning

confidence: 99%

Ordinal Optimization Technique for Three-Phase Distribution Network State Estimation Including Discrete Variables

Nanchian

Majumdar

Pal

2017

IEEE Trans. Sustain. Energy

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This paper has discussed transformer tap position estimation with continuous and discrete variables in the context of three phase distribution state estimation (SE). Ordinal optimization (OO) technique has been applied to estimate the transformer tap position for the first time in unbalanced three phase distribution network model. The results on 129 bus system model have demonstrated that OO method can generate a reliable estimate for transformer exact tap position with discrete variables in distribution system state estimation (DSSE) and also in short period of time. In this paper the node voltages and power losses are calculated for 129 bus network. It is also demonstrated that OO is much faster than other accurate methods such HPSO. The losses obtained with OO are much accurate. In view of this OO performs better than WLS as it provides higher accuracy of the loss calculation. In a distribution network where about 5-6% of electricity generated is lost, accurate estimation of this loss has significant technical and commercial value. The authors believe the technique proposed will help realize those benefits.

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“…Majdoub et al studied how the efficiency of WLS methods is influenced by type and number of measurements, measurement weight and noise level [5]. Pires et al outlined a hybrid estimator, blending re-weighted WLS with Van-Loan's technique, to perform robust SE in the presence of bad measurements [6]. Tripathi et al studied the performances of WLS on standard power systems [7].…”

Section: Introductionmentioning

confidence: 99%

Most Valuable Player Algorithm Based State Estimation for Energy Systems

Subramaniyan

Maharajan

2021

DGAEJ

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State estimation (SE) processes the real-time measurements and provides database to energy control centre for safety control of energy systems. Traditionally Weighted Least Square (WLS) and Weighted Least Absolute Value (WLAV) based algorithms have been suggested for SE but the development of very fast computers and parallel processing enable the system engineers to think of employing the computationally inefficient evolutionary algorithms, which are known to be robust and stable, in solving SE problems. This paper suggests a most valuable player algorithm based SE involving WLS and WLAV objectives one at a time, and presents results on four IEEE test systems for illustrating its superiority.

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Constrained Robust Estimation of Power System State Variables and Transformer Tap Positions Under Erroneous Zero-Injections

Cited by 31 publications

References 30 publications

DSSE in European-Type Networks Using PLC-Based Advanced Metering Infrastructure

DSSE in European-Type Networks Using PLC-Based Advanced Metering Infrastructure

Ordinal Optimization Technique for Three-Phase Distribution Network State Estimation Including Discrete Variables

Most Valuable Player Algorithm Based State Estimation for Energy Systems

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