Event Triggered Dynamic State Estimation Based On Set Membership Filtering For Power Systems
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Event Triggered Dynamic State Estimation Based On Set Membership Filtering For Power Systems
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Author : B. N. Weerasinghe Mudiyanselage Rashmi Amadini Boragolla
language : en
Publisher:
Release Date : 2020
Event Triggered Dynamic State Estimation Based On Set Membership Filtering For Power Systems written by B. N. Weerasinghe Mudiyanselage Rashmi Amadini Boragolla and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with categories.
In the future, dynamic state estimation (DSE) will be an important function in monitoring and control of smart power grids. In this context, data communication networks and phasor measurement units (PMU) that are currently being deployed in smart power grids, will play a major role. However, very high data rates of PMUs will necessitate event-triggered multi-area state estimation (MASE) to ease the burden on the communication networks. In MASE, a large power grid is divided into sectors and local state estimates of each sector are communicated to a monitoring center for fusion and decision making. Traditional DSE algorithms such as Kalman filter (KF) are not well suited for event-triggered state estimation and new approaches will be required. The goal of this thesis is to investigate the applicability of a lesser-known class of algorithms known as set membership (SM) filtering to MASE. These algorithms have the important property known as data selective update. In the context of MASE, this property will allow the communication of sector-based estimates to the fusion center, only when the measurements observed by sensors within a sector are informative, that is, indicative of the existence of an abnormality such as a fault condition. The contribution of this thesis consists of two parts. In the first part, a simple to implement SM algorithm incorporating data-selective updates is presented in detailed, and it's properties are investigated through a numerical study. It is shown that, despite sparse updates, the estimation accuracy of the SM algorithm is comparable to the traditional extended KF (EKF) algorithm. In the second part, a comprehensive case study involving event-triggered state estimation in a single machine infinite bus system with a synchronous machine is presented. The simulation results show that, except during transient and fault conditions, the SM algorithm presented in this thesis rarely performs complete state updates, thus saving communication burden in a MASE context. The estimation accuracy, however, remains comparable with the EKF. As an important avenue for future research, methods of robust initialization of the SM algorithm is identified. It is shown that improper initialization can affect the ability of the SM algorithm to respond to fault conditions.
Event Trigger Dynamic State Estimation For Practical Wams Applications In Smart Grid
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Author : Zhen Li
language : en
Publisher: Springer Nature
Release Date : 2020-06-03
Event Trigger Dynamic State Estimation For Practical Wams Applications In Smart Grid written by Zhen Li and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-03 with Technology & Engineering categories.
This book describes how dynamic state estimation application in wide-area measurement systems (WAMS) are crucial for power system reliability, to acquire precisely power system dynamics. The event trigger DSE techniques described by the authors provide a design balance between the communication rate and estimation performance, by selectively sending the innovational data. The discussion also includes practical problems for smart grid applications, such as the non-Gaussian process/measurement noise, packet dropout, computation burden of accurate DSE, robustness to the system variation, etc. Readers will learn how the event trigger DSE can facilitate the effective reduction of communication rates, with guaranteed accuracy under a variety of practical conditions in smart grid applications.
The Emerging Form Of Smart Grid Smart Integrated Energy Systems And Prosumer Centred Energy Community
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Author : Tao Huang
language : en
Publisher: Frontiers Media SA
Release Date : 2022-07-07
The Emerging Form Of Smart Grid Smart Integrated Energy Systems And Prosumer Centred Energy Community written by Tao Huang and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-07 with Technology & Engineering categories.
Intelligent Operation And Control In Next Generation Urban Power Grid
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Author : Ke-Jun Li
language : en
Publisher: Frontiers Media SA
Release Date : 2022-10-21
Intelligent Operation And Control In Next Generation Urban Power Grid written by Ke-Jun Li and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-21 with Technology & Engineering categories.
Power System State Estimation
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Author : Ali Abur
language : en
Publisher: CRC Press
Release Date : 2004-03-24
Power System State Estimation written by Ali Abur and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-03-24 with Technology & Engineering categories.
Offering an up-to-date account of the strategies utilized in state estimation of electric power systems, this text provides a broad overview of power system operation and the role of state estimation in overall energy management. It uses an abundance of examples, models, tables, and guidelines to clearly examine new aspects of state estimation, the testing of network observability, and methods to assure computational efficiency. Includes numerous tutorial examples that fully analyze problems posed by the inclusion of current measurements in existing state estimators and illustrate practical solutions to these challenges. Written by two expert researchers in the field, Power System State Estimation extensively details topics never before covered in depth in any other text, including novel robust state estimation methods, estimation of parameter and topology errors, and the use of ampere measurements for state estimation. It introduces various methods and computational issues involved in the formulation and implementation of the weighted least squares (WLS) approach, presents statistical tests for the detection and identification of bad data in system measurements, and reveals alternative topological and numerical formulations for the network observability problem.
Multi Sensor Filtering Fusion With Censored Data Under A Constrained Network Environment
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Author : Hang Geng
language : en
Publisher: CRC Press
Release Date : 2024-08-26
Multi Sensor Filtering Fusion With Censored Data Under A Constrained Network Environment written by Hang Geng and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-26 with Technology & Engineering categories.
This book presents the up-to-date research developments and novel methodologies on multi-sensor filtering fusion (MSFF) for a class of complex systems subject to censored data under a constrained network environment. The contents of this book are divided into two parts covering centralized and distributed MSFF design methodologies. The work provides a framework of optimal centralized/distributed filter design and stability and performance analysis for the considered systems along with designed filters. Simulations presented in this book are implemented using MATLAB. Features: Includes concepts, backgrounds and models on censored data, filtering fusion and communication constraints. Reviews case studies to provide clear engineering insights into the developed fusion theories and techniques. Provides theoretic values and engineering insights of the censored data and constrained network. Discusses performance evaluation of the presented multi-sensor fusion algorithms. Explores promising research directions on future multi-sensor fusion. This book is aimed at graduate students and researchers in networked control, sensor networks, and data fusion.
Fault Diagnosis For Linear Discrete Time Varying Systems And Its Applications
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Author : Maiying Zhong
language : en
Publisher: Springer Nature
Release Date : 2022-11-01
Fault Diagnosis For Linear Discrete Time Varying Systems And Its Applications written by Maiying Zhong and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-01 with Technology & Engineering categories.
This book focuses on fault diagnosis for linear discrete time-varying (LDTV) systems and its applications in modern engineering processes, with more weighting placed on the development of theory and methodologies. A comprehensive and systematic study on fault diagnosis for LDTV systems is provided, covering H∞-optimization-based fault diagnosis, H∞-filtering-based fault diagnosis, parity space-based fault diagnosis, Krein space technique-aided fault detection and fault estimation, and their typical applications in linear/nonlinear processes such as satellite attitude control systems and INS/GPS systems. This book benefits researchers, engineers, and graduate students in the fields of control engineering, electrical and electronic engineering, instrumentation science, and optoelectronic engineering.
Set Theoretic Approaches To The Aperiodic Control Of Linear Systems
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Author : Florian D. Brunner
language : en
Publisher: Logos Verlag Berlin GmbH
Release Date : 2017
Set Theoretic Approaches To The Aperiodic Control Of Linear Systems written by Florian D. Brunner and has been published by Logos Verlag Berlin GmbH this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with Technology & Engineering categories.
In this thesis, we employ set-theoretic properties of additively disturbed linear discrete-time systems to develop stabilizing aperiodically updated control laws for plants controlled over communication networks. In particular, we design event-triggered and self-triggered controllers with a priori guarantees on closed-loop characteristics such as stability, asymptotic bound, and average communication rate. Different models for the disturbances are taken into account, namely arbitrary disturbances of which only a bound in the form of a compact set is known and stochastic disturbances with known probability distribution. For setups with hard constraints on the states and inputs, we propose aperiodic schemes based on robust model predictive control methods. Both the full information (state-feedback) case, as well as the limited information (output-feedback) case are investigated. It is demonstrated that the proposed controllers achieve a considerable reduction in the required network usage with only moderate or non-existing deterioration of the closed-loop properties guaranteed by comparable controllers that transmit information at every point in time.
Optimal Control Of Energy Resources For State Estimation Over Wireless Channels
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Author : Alex S. Leong
language : en
Publisher: Springer
Release Date : 2017-08-16
Optimal Control Of Energy Resources For State Estimation Over Wireless Channels written by Alex S. Leong and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-08-16 with Technology & Engineering categories.
This brief introduces wireless communications ideas and techniques into the study of networked control systems. It focuses on state estimation problems in which sensor measurements (or related quantities) are transmitted over wireless links to a central observer. Wireless communications techniques are used for energy resource management in order to improve the performance of the estimator when transmission occurs over packet dropping links, taking energy use into account explicitly in Kalman filtering and control. The brief allows a reduction in the conservatism of control designs by taking advantage of the assumed. The brief shows how energy-harvesting-based rechargeable batteries or storage devices can offer significant advantages in the deployment of large-scale wireless sensor and actuator networks by avoiding the cost-prohibitive task of battery replacement and allowing self-sustaining sensor to be operation. In contrast with research on energy harvesting largely focused on resource allocation for wireless communication systems design, this brief optimizes estimation objectives such as minimizing the expected estimation error covariance. The resulting power control problems are often stochastic control problems which take into account both system and channel dynamics. The authors show how to pose and solve such design problems using dynamic programming techniques. Researchers and graduate students studying networked control systems will find this brief a helpful source of new ideas and research approaches.
Power System Dynamic Modelling And Analysis In Evolving Networks
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Author : Babak Badrzadeh
language : en
Publisher: Springer Nature
Release Date : 2024-07-31
Power System Dynamic Modelling And Analysis In Evolving Networks written by Babak Badrzadeh and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-31 with Technology & Engineering categories.
This Green Book is an essential resource for power system engineers seeking comprehensive information on contemporary power system dynamic modelling and analysis. With today's rapid adoption of inverter-based resources and the resulting changes in power system dynamics, this book compares conventional power systems with evolving power systems characterized by high shares of grid-connected and distributed inverter-based resources. It covers dynamic phenomena, analysis methods, simulation tools and enablers required for secure and reliable system planning and operation. Starting with an overview of power system studies and associated analysis tools, the book provides modelling requirements for various power system components, including existing and emerging technologies. It includes practical examples from real-world power systems worldwide that act as step-by-step study guides for practising engineers and provides knowledge to apply in their day-to-day tasks. Additionally, the book emphasizes the importance of power system model acceptance testing and validation, providing practical examples of various testing methods. Written with practising power system engineers in mind, this book minimizes the use of advanced mathematics. However, relevant sources for those interested in learning more about mathematical concepts are provided. Overall, this book is an invaluable resource for power system engineers navigating contemporary power systems. Readers who would like to comment on any of the published books or identify errors to the editorial team please contact: [email protected].