Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 16 of 16 for “"Power system state estimation"”.
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Power System State Estimation and Renewable Energy Optimization in Smart Grids
… dissertation will focus on two important topics: power system state estimation using phasor measurement units (PMUs), and optimization for renewable energy integration.</p><p>In the first topic, we consider power system state estimation using PMUs, when phase angle mismatch exists in the …
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Artificial neural networks for state estimation of electric power systems
… of Artificial Neural Network (ANN) technology in power system state estimation. It addresses the following developments: the fundamentals of the state estimation based on ANN technology; the feasible ANN state estimation methods; use of voltage phasor angle measurements in ANN state estimation; …
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Robust state estimation in power systems
The application of robust estimation methods to the power system state estimation problem was investigated. Techniques using both nonlinear and combinatorial optimization were considered, based on the requirements that the method developed should be statistically robust, and fast enough to be used …
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Adaptation and Installation of a Robust State Estimation Package in the Eef Utility
Robust estimation methods have been successfully applied to the problem of power system state estimation in a real-time environment. The Schweppe-type GM-estimator with the Huber psi-function (SHGM) has been fully installed in conjunction with a topology processor in the EEF utility, headquartered …
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Real-time implementation of high breakdown point estimators in electric power systems via system decomposition
… a new, highly robust algorithm for electric power system state estimation. A graph theory-based system decomposition scheme is coupled with a high breakdown point estimator to allow reliable identification of multiple interacting bad data even in cases of conforming errors. The algorithm is …
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A Differential Geometry-Based Algorithm for Solving the Minimum Hellinger Distance Estimator
Robust estimation of statistical parameters is traditionally believed to exist in a trade space between robustness and efficiency. This thesis examines the Minimum Hellinger Distance Estimator (MHDE), which is known to have desirable robustness properties as well as desirable efficiency properties. …
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Internet-based Wide Area Measurement Applications in Deregulated Power Systems
Since the deregulation of power systems was started in 1989 in the UK, many countries have been motivated to undergo deregulation. The United State started deregulation in the energy sector in California back in 1996. Since that time many other states have also started the deregulation procedures …
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Robust Mahalanobis distance in power systems state estimation
… associated with the weighted Jacobian matrix in power system state estimation. These distances, called robust Mahalanobis distances, can be used as weight functions to robustify the residuals of both the M-estimators and the least median of squares estimators for outlier diagnostics. They can …
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An object-oriented distribution system distributed quasi-dynamic state estimator
… develops an object-oriented distribution system distributed quasi-dynamic state estimator (DS-DQDSE) that constantly monitors the states of the distribution system and provides the validated data to the control center. In particular, the dissertation presents a distributed and seamless …
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Completely Recursive Least Squares and Its Applications
… and resolution of underdetermined systems. Based on auxiliary-observations, the RLS recursion can start from the first real observation and possible LE constraints are also imposed recursively. The rank of the system is checked implicitly. If the rank is deficient, a set of refined …
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A predictive out-of-step protection scheme based on PMU enabled distributed dynamic state estimation
… the need for more efficient and accurate power system monitoring, control and protection tools. Power system state estimation, which is the major tool that is used nowadays for providing the real-time model of the system, has significant biases resulting mainly from the complexity and …
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Advanced modeling and computational methods for distribution system state estimation
… and smart grid technologies interfacing with the power distribution network motivate the continued advancement of accurate and robust system monitoring tools. Traditional state estimation approaches rely on iterative methods to solve the weighted least squares problem because of the nonlinear …
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Bridging Machine Learning for Smart Grid Applications
… on various smart grid applications including state estimation, false data injection attack detection, and reliability evaluation. The dissertation is divided into four parts as follows.. Part I: Power system state estimation (PSSE). The PSSE is commonly formulated as a weighted least-square …
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A fast state-estimation-based data integrity threat detection approach for combined AC-DC bulk power systems
The challenges encountered in modern power system operations have increased as electricity grids have become more geographically widespread and complex. Some modern bulk grids now combine AC and DC subsystems to effectively serve their loads. Communications and controls for such combined grids, in …
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A Robust Dynamic State and Parameter Estimation Framework for Smart Grid Monitoring and Control
… security, and resiliency of electric power systems depends on the availability of fast, accurate, and robust dynamic state estimators. These estimators should be robust to gross errors on the measurements and the model parameter values while providing good state estimates even in the …