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 15 of 15 for “"Dynamic State Estimation"”.
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Synchrophasor-Only Dynamic State Estimation & Data Conditioning
… and the by developing a synchrophasor-only dynamic state estimator as a mechanism for bad data detection and identification. In order to realize these algorithms, this dissertation develops a computationally simple model of the dynamics of the power system which fits neatly into the existing …
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Dynamic State Estimation of Microgrid With Imperfect Data Communication
Dynamic state estimation of power systems is essential for wide area control purposes. In this thesis, we present the results of dynamic state estimation for a grid-connected microgrid including two synchronous generators and three loads. The Unscented Kalman filter (UKF) and the Extended Kalman …
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A predictive out-of-step protection scheme based on PMU enabled distributed dynamic state estimation
… 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 geographic spread and separation of an electric power system. …
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Enhancing Quadruped Robot Design With Intelligent Physics-Informed Neural Network-Assisted Dynamic State Estimation and Active Spine Integration
… in these designs stems from advanced state estimation techniques and the integration of an active spine, combining constraints from physical models with insights from learning-based studies. An advanced Robot State Estimation (RSE) methodology is introduced, which uses a combination of …
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Protection of synchronous generators and induction generators
… a novel protective function, which is named EBP (dynamic state Estimation Based Protection) that can protect the synchronous generators and induction generators securely and dependably when they have internal faults. Specifically, the EBP function monitors the consistency between the generator …
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State and parameter estimation of power systems using phasor measurement units as bilinear system model
… addressed. This thesis develops a new model of state and parameter estimation of power systems using PMU measurements. The approach elaborates on bilinear model of power systems based on PMU measurements. Various correlations between states, parameters and PMU measurements have been included to …
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An object-oriented distribution system distributed quasi-dynamic state estimator
… 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 infrastructure starting from …
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Estimation and fault diagnosis for vehicle energy systems
… performance, a holistic system perspective for estimation is needed. Accurate dynamic state estimation is critical for two main reasons: 1. Thermal management: This dissertation proposes a system perspective state estimation framework for complex multi-domain and multi-timescale dynamical …
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Configuration of Microgrids Considering State Estimation, Service Restoration, and Integration with Natural Gas Systems
… (i.e. configuration) algorithm is proposed for dynamic state estimation in islanded microgrids (IMG) considering the supply adequacy of each zone. Second, a centralized-based optimization model with multi-objective functions is formulated to perform the service restoration process for microgrids …
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Robust Identification, Estimation, and Control of Electric Power Systems using the Koopman Operator-Theoretic Framework
The study of nonlinear dynamical systems via the spectrum of the Koopman operator has emerged as a paradigm shift, from the Poincaré's geometric picture that centers the attention on the evolution of states, to the Koopman operator's picture that focuses on the evolution of observables. The Koopman …
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Intelligent Monitoring of Powerline Vibrations - Sparse Sensing and Predictive Modeling Approach
… and fail to provide real-time insights into the dynamic behavior of conductors. This thesis presents a data-driven framework for real-time monitoring and state estimation of vibration profiles in transmission lines, offering a scalable and intelligent alternative to conventional methods.The …
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Energy Efficient Target Tracking in Wireless Sensor Networks: Sleep Scheduling, Particle Filtering, and Constrained Flooding
… and shapes, such as idle listening, trajectory estimation, and data propagation. In this dissertation, we study three correlated problems on energy efficient target tracking in WSNs: sleep scheduling, particle filtering, and constrained flooding. We develop a Target Prediction and Sleep …
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Development of A Trajectory Population Data and its Application in CAV Research
… trajectory reconstruction process using a dynamic state estimation process is developed to reconstruct partial and missing trajectories. A data analytics approach predicts the number of missing trajectories between two successive detections in the traffic stream on a roadway lane. A …
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Uncertainty Quantification, State and Parameter Estimation in Power Systems Using Polynomial Chaos Based Methods
… the measurement, etc, are influencing the steady state and dynamic response of the power system. Facing this problem, traditional methods, such as the Monte Carlo method and the Perturbation method, are either too time consuming or suffering from the strong nonlinearity in the system. To solve …
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A Robust Dynamic State and Parameter Estimation Framework for Smart Grid Monitoring and Control
… 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 presence of large dynamical system model uncertainties and non-Gaussian …