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Cyber-Physical Power System State Estimation updates classic state estimation tools to enable real-time operations and optimize reliability in modern electric power systems. The work introduces and contextualizes the core concepts and classic approaches to state estimation modeling. It builds on these classic approaches with a suite of data-driven models and non-synchronized measurement tools to reflect current measurement trends required by increasingly more sophisticated grids. Chapters outline core definitions, concepts and the network analysis procedures involved in the real-time operation of EPS. Specific sections introduce power flow problem in EPS, highlighting network component modeling and power flow equations for state estimation before addressing quasi static state estimation in electrical power systems using Weighted Least Squares (WLS) classical and alternatives formulations. Particularities of the state estimation process in distribution systems are also considered. Finally, the work goes on to address observability analysis, measurement redundancy and the processing of gross errors through the analysis of WLS static state estimator residuals. Develops advanced approaches to smart grid real-time monitoring through quasi-static model state estimation and non-synchronized measurements system models Presents a novel, extended optimization, physics-based model which identifies and corrects for measurement error presently egregiously discounted in classic models Demonstrates how to embed cyber-physical security into smart grids for real-time monitoring Introduces new approaches to calculate power flow in distribution systems and for estimating distribution system states Incorporates machine-learning based approaches to complement the state estimation process, including pattern recognition-based solutions, principal component analysis and support vector machines
Em muitos países, redes elétricas de grande porte são formadas pela interconexão de companhias de energia elétrica cada qual possuindo seu próprio centro de controle. Para supervisionar eficientemente tais sistemas de potência, técnicas de estimação hierarquizada de estado devem ser consideradas. Esta tese apresenta um novo algoritmo que utiliza conceitos hierárquicos para resolver o problema da estimação dinâmica de estado para sistemas de potência de grande porte em regime quase-permanente de operação.O processo de estimação é feito em dois níveis de cálculo de modo a se obter uma solução satisfatória do ponto de vista computacional para as etapas usuais da estimação dinâmica de estado: estimação dos parâmetros do modelo, previsão do estado e filtragem do estado. A nível local, algoritmos convencionais de estimação dinâmica de estado são executados simultanea e independentemente para todos os subsistemas. A coordenação dessas estimativas locais é obtida em um centro nacional de supervisão e controle, operacionalmente de hierarquia superior no sistema elétrico interligado. Resultados numéricos mostram o desempenho do algoritmo proposto em diferentes condições de operação: normal, mudança brusca do estado e presença de erros grosseiros.
Computer Aided State Estimation of Electric Power Networks is a fundamental introduction to the topic of state estimation at an advanced textbook level for teaching a course at either the graduate or undergraduate level, as well as for Post Graduate students and Research Scholars who want to review of the latest techniques and best mathematical approaches for estimating the state of a general system. Theory as well as practice of Distribution System State Estimation (DSSE) is covered with imperative rigidity. The authors present the theory of state estimation clearly providing the right amount of essential information and linked reports in order to enable the researchers and graduate students to apply state estimation techniques across a variety of fields in power systems engineering. A prerequisite knowledge of basic power system operation, control, data acquisition and measurement, in addition to basic statistics is helpful in understanding the book. Key Features include: • Advanced Topics based on Cloud Computing and Standards used for Preparation of Smart Grid • Provides Entire Coding Information for Estimating the State Estimation Topology Performance • Enables both the Researchers and Graduate Students for Pursuing their Research Projects • Covers the Important Topics on Data Attacks and Solution Strategy • Provides an Introduction to Distribution System State Estimation This book includes new contents like Distribution System State Estimation, Data Attacks, Defense strategies, with an introduction to large scale systems based on cloud computing, and an MATLAB training package for graduate students
"A static state estimator (SSE) is a collection of digital computer programs which convert telemetered data into a reliable estimate of the transmission network structure and state by accounting for small random metering-communication errors; uncertainties in system parameter values; bad data due to transients and meter-communication failures; and errors in the network structure due to faulty switch-circuit breaker status information. Failure of SSE at System Operators' facilities has been cited as one of the primary causes for some major blackouts over the two decades"--
Electrical Engineering is the component of Encyclopedia of Physical Sciences, Engineering and Technology Resources in the global Encyclopedia of Life Support Systems (EOLSS), which is an integrated compendium of twenty one Encyclopedias. The Theme on Electrical Engineering with contributions from distinguished experts in the field provides the essential aspects and fundamentals of electrical engineering. These three volumes are aimed at the following five major target audiences: University and College Students Educators, Professional Practitioners, Research Personnel and Policy Analysts, Managers, and Decision Makers, NGOs and GOs.
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.