Academic literature on the topic 'WLS-PHASOR MEASUREMENTS'

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Journal articles on the topic "WLS-PHASOR MEASUREMENTS"

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Liu, Min. "Distribution System State Estimation with Phasor Measurement Units." Applied Mechanics and Materials 668-669 (October 2014): 687–90. http://dx.doi.org/10.4028/www.scientific.net/amm.668-669.687.

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With phasor measurement units (PMU) become available in the distribution system; the estimation accuracy of the distribution system state estimation (DSSE) is expected to be improved. Based on the weighted least square (WLS) approach, this paper proposed a new state estimator which takes into account the PMU measurements including voltage magnitude and phasor angle, and load current magnitude and phasor angle. Simulation results indicate that the estimation accuracy is obvious improve by adding PMU measurements to the DSSE. Furthermore, the estimation accuracy changes with the installation sit
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Radhoush, Sepideh, Trevor Vannoy, Kaveen Liyanage, Bradley M. Whitaker, and Hashem Nehrir. "Distribution System State Estimation and False Data Injection Attack Detection with a Multi-Output Deep Neural Network." Energies 16, no. 5 (2023): 2288. http://dx.doi.org/10.3390/en16052288.

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Distribution system state estimation (DSSE) has been introduced to monitor distribution grids; however, due to the incorporation of distributed generations (DGs), traditional DSSE methods are not able to reveal the operational conditions of active distribution networks (ADNs). DSSE calculation depends heavily on real measurements from measurement devices in distribution networks. However, the accuracy of real measurements and DSSE results can be significantly affected by false data injection attacks (FDIAs). Conventional FDIA detection techniques are often unable to identify FDIAs into measure
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Radhoush, Sepideh, Trevor Vannoy, Kaveen Liyanage, Bradley M. Whitaker, and Hashem Nehrir. "Distribution System State Estimation Using Hybrid Traditional and Advanced Measurements for Grid Modernization." Applied Sciences 13, no. 12 (2023): 6938. http://dx.doi.org/10.3390/app13126938.

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Distribution System State Estimation (DSSE) techniques have been introduced to monitor and control Active Distribution Networks (ADNs). DSSE calculations are commonly performed using both conventional measurements and pseudo-measurements. Conventional measurements are typically asynchronous and have low update rates, thus leading to inaccurate DSSE results for dynamically changing ADNs. Because of this, smart measurement devices, which are synchronous at high frame rates, have recently been introduced to enhance the monitoring and control of ADNs in modern power networks. However, replacing al
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Macii, David, Daniele Fontanelli, and Grazia Barchi. "A Distribution System State Estimator Based on an Extended Kalman Filter Enhanced with a Prior Evaluation of Power Injections at Unmonitored Buses." Energies 13, no. 22 (2020): 6054. http://dx.doi.org/10.3390/en13226054.

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In the context of smart grids, Distribution Systems State Estimation (DSSE) is notoriously problematic because of the scarcity of available measurement points and the lack of real-time information on loads. The scarcity of measurement data influences on the effectiveness and applicability of dynamic estimators like the Kalman filters. However, if an Extended Kalman Filter (EKF) resulting from the linearization of the power flow equations is complemented by an ancillary prior least-squares estimation of the weekly active and reactive power injection variations at all buses, significant performa
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M., Ravindra, and Srinivasa Rao R. "Dynamic State Estimation with Optimal PMU and Conventional Measurements for Complete Observability." May 4, 2017. https://doi.org/10.5281/zenodo.1130987.

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This paper presents a Generalized Binary Integer Linear Programming (GBILP) method for optimal allocation of Phasor Measurement Units (PMUs) and to generate Dynamic State Estimation (DSE) solution with complete observability. The GBILP method is formulated with Zero Injection Bus (ZIB) constraints to reduce the number of locations for placement of PMUs in the case of normal and single line contingency. The integration of PMU and conventional measurements is modeled in DSE process to estimate accurate states of the system. To estimate the dynamic behavior of the power system with proposed metho
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Yusuf, Abdulrafiu, Olalekan Ogunbiyi, Lambe Adesina, and Bashiru Ariyo. "HYBRID WLS-KF APPROACH FOR REAL-TIME STATE ESTIMATION IN AUTOMATED DISTRIBUTION GRIDS." Journal of Engineering Research and Reviews, 2025, 1. https://doi.org/10.5455/jerr.20250225075131.

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Aim/Background: The increasing complexity of modern distribution networks, particularly with the integration of Distributed Energy Resources (DERs), presents significant challenges to traditional state estimation techniques. These networks require accurate and real-time monitoring to optimize operations, improve fault detection, and enhance overall system reliability. This research aims to develop a hybrid state estimation model that combines Weighted Least Squares (WLS) and Kalman Filter (KF) techniques to improve state estimation accuracy, robustness, and reliability in automated distributio
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Karimipour, Hadis, and Venkata Dinavahi. "Parallel Domain-Decomposition-Based Distributed State Estimation for Large-Scale Power Systems." March 24, 2016. https://doi.org/10.5281/zenodo.7670813.

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Growing system sizes and complexity, along with the large amount of data provided by phasor measurement units (PMUs), are the drivers to accurate state estimation algorithms for online monitoring and operation of power systems. In this paper, a distributed weighted-least-square state estimation method using an additive Schwarz domain decomposition technique is proposed to reduce the computational execution time. The proposed approach divides a data set into several subsets to be processed in parallel using a multiprocessor architecture considering data exchange among distributed areas. The slo
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Dissertations / Theses on the topic "WLS-PHASOR MEASUREMENTS"

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DHAIKAR, ANKIT KUMAR. "STATE ESTIMATION ALONG WLS-PHASOR MEASUREMENTS IN POWER SYSTEM." Thesis, 2021. http://dspace.dtu.ac.in:8080/jspui/handle/repository/19082.

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Large Power System State Estimation, being a process to estimate voltage angle as well as the magnitude state for every bus of system of the power that is based on measurements which have been carried at only buses. The devices for the measurement of the earlier days, have only been able to give quantity measured magnitude. Nevertheless, a measurement device with the efficiency known as the Phasor Measurement-Unit (PMU) which is helpful for the measurement of the phasor of voltage (both magnitude a well as the angle) of a bus at which it’s placed as well as the phasors of current o
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Conference papers on the topic "WLS-PHASOR MEASUREMENTS"

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Dhaikar, Ankit Kumar, and S. T. Nagarajan. "State Estimation Along WLS-Phasor Measurements in Power System." In 2021 8th International Conference on Signal Processing and Integrated Networks (SPIN). IEEE, 2021. http://dx.doi.org/10.1109/spin52536.2021.9566012.

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Todorović, Miljana, and Zoran Stojanović. "OPTIMAL OVERHEAD LINE PARAMETER ESTIMATION USING SYNCHROPHASORS IN REAL-TIME." In 14. Savetovanje o elektrodistributivnim mrežama Srbije, sa regionalnim učešćem,. CIRED Liaison Committee of Serbia, 2024. http://dx.doi.org/10.46793/cired24.r-3.13mt.

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The accurate determination of overhead line parameters is crucial for obtaining reliable results in various types of power system calculation, including transient stability analyses, power flow calculations, and short-circuit calculations. Additionally, it is essential for power system state estimation and for setting protective relays. With the increasing prevalence of synchrophasor technology, a more precise estimation of power line parameters has become possible compared to classical methods, which relied on factors such as tower configuration, conductor type, estimated conductor length, co
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Davoudi, Mehdi. "Effects of Phasor Measurement Unit on correlation of WLS state estimation results." In 2016 21st Conference on Electrical Power Distribution Networks Conference (EPDC). IEEE, 2016. http://dx.doi.org/10.1109/epdc.2016.7514798.

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