State estimation at all India level

Singhal, Akhil; Rathour, Harish; Agarwal, PK; Baba, Kensuke; Soonee, S.K.

doi:10.1109/npsc.2016.7858970

Cited by 4 publications

(4 citation statements)

References 1 publication

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“…The first series of tests has been carried out using the singlebranch approach to assess the performance of the proposed method on all three phase branches equipped with a step voltage regulator (branches (4, 7), (4,9) and (5,6)). Both SVR configurations presented in Section II-B have been adopted in different tests.…”

Section: A Single-branch Approachmentioning

confidence: 99%

“…Although malfunctioning of the equipment involved in the tap changer is not frequent [5], the on-load tap changer is one of the most error-prone parts in the transformer because its elements can suffer from both electrical and mechanical stress [6], [7]. The uncertainty on tap changer performance impacts on fundamental analysis tools like state estimation (see, for instance, [8] and [9]).…”

Section: Introductionmentioning

confidence: 99%

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PMU-Based Estimation of Systematic Measurement Errors, Line Parameters, and Tap Changer Ratios in Three-Phase Power Systems

Pegoraro

Sitzia

Solinas

et al. 2022

IEEE Trans. Instrum. Meas.

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The availability of accurate data is fundamental for several monitoring and control applications of modern power grids. Nevertheless, the knowledge of critical data such as transmission line and transformer parameters is often affected by uncertainty. This can lead to important problems in the correct management of the power systems. In spite of a monitoring infrastructure that is being renewed thanks to new generation devices providing synchronized measurements, the actual values of line parameters and tap changer ratios are still affected by uncertainty sources that need to be properly considered. The behaviour of all the elements involved in the measurement chain must be duly modelled. This paper proposes an improved method to carry out the simultaneous estimation of line parameters, tap changer ratios, and systematic measurement errors for a three-phase power system. The proposed method is based on the suitable modelling of the measurement chain and on three-phase constraint equations (voltage drop and current balance) of all the components involved. Its effectiveness is confirmed by tests performed on a IEEE 14 bus test system reproduced as a threephase system under different operative conditions.

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Section: A Single-branch Approachmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

PMU-Based Estimation of Systematic Measurement Errors, Line Parameters, and Tap Changer Ratios in Three-Phase Power Systems

Pegoraro

Sitzia

Solinas

et al. 2022

IEEE Trans. Instrum. Meas.

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“…The importance of the transformer parameters lies in their role in power system analysis, which is vital for many planning and operation routines in the industry. For example, state estimation in the Indian system revealed that many transformer tap positions and winding parameters have been incorrect in the database [31]. State estimation used in energy management system (EMS) needs updated tap positions of the transformers, which may not be communicated to the control center [32].…”

Section: Introductionmentioning

confidence: 99%

Online Non-Iterative Estimation of Transmission Line and Transformer Parameters by SCADA Data

Dobakhshari

Abdolmaleki

Terzija

et al. 2021

IEEE Trans. Power Syst.

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Utilization of abundant measurements provided by supervisory control and data acquisition (SCADA) system has attracted increasing attention. Real-time estimation of transmission line parameters, utilizing voltage and power flow measurements provided by remote terminal units (RTUs) located at two substations across the line, has been investigated, recently. This paper improves this approach by introducing a novel exact linear reformulation of the problem, which can be solved in closed form. The distributed-parameter model of long transmission lines is considered and its parameters are estimated in a noniterative manner using RTU measurements. The method is also extended to estimate transformer series impedance and tap position by SCADA measurements, linearly. As such, the disadvantages associated with the previous iterative approach, e.g. concern over convergence, for transmission line parameters are avoided. Moreover, the novel technique for estimating transformer parameters allows to determine the tap position as well as updated transformer series impedance. Furthermore, a thorough analysis is presented to take the measurement accuracy into account. Simulation results for different transmission lines and transformers in the IEEE 118-bus test system are reported, where the result indicate successful performance of the proposed algorithms.

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“…The prerequisite for state estimation is that system must be observable with available measurements. States of a power system can also be computed with the load flow calculations, based on equal number of measurements, assuming them to be accurate [2]. However, the implicit error will lead to imperfect data base and prejudice the security monitoring.…”

Section: Introductionmentioning

confidence: 99%

Power system state estimation using teaching learning-based optimization algorithm

Salkuti

2020

TELKOMNIKA

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The main goal of this paper is to formulate power system state estimation (SE) problem as a constrained nonlinear programming problem with various constraints and boundary limits on the state variables. SE forms the heart of entire real time control of any power system. In real time environment, the state estimator consists of various modules like observability analysis, network topology processing, SE and bad data processing. The SE problem formulated in this work is solved using teaching leaning-based optimization (TLBO) technique. Difference between the proposed TLBO and the conventional optimization algorithms is that TLBO gives global optimum solution for the present problem. To show the suitability of TLBO for solving SE problem, IEEE 14 bus test system has been selected in this work. The results obtained with TLBO are also compared with conventional weighted least square (WLS) technique and evolutionary based particle swarm optimization (PSO) technique.

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State estimation at all India level

Cited by 4 publications

References 1 publication

PMU-Based Estimation of Systematic Measurement Errors, Line Parameters, and Tap Changer Ratios in Three-Phase Power Systems

PMU-Based Estimation of Systematic Measurement Errors, Line Parameters, and Tap Changer Ratios in Three-Phase Power Systems

Online Non-Iterative Estimation of Transmission Line and Transformer Parameters by SCADA Data

Power system state estimation using teaching learning-based optimization algorithm

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