Cyber-Physical Power Systems State Estimation

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 modelsPresents a novel, extended optimization, physics-based model which identifies and corrects for measurement error presently egregiously discounted in classic modelsDemonstrates how to embed cyber-physical security into smart grids for real-time monitoringIntroduces new approaches to calculate power flow in distribution systems and for estimating distribution system statesIncorporates machine-learning based approaches to complement the state estimation process, including pattern recognition-based solutions, principal component analysis and support vector machines INDICE: Introduction to Cyber-Physical Power Systems State Estimation Historical Context Organization of the book Real-Time Operation of Power Systems States of operation Network Analysis System State Estimation in Electric Power Systems Stage 1: Obtaining the System Topology with the corresponding meter configuration in the bus-branch model Stage 2: Observability Analysis and Restoration Stage 3: State Estimation Stage 4: Processing Gross Errors in Analog Measurements Effect of Topological and Parameter Errors in the State Estimation Process Synchronized Phasor Measurement in the State Estimation Process Problems Power Flow in Electric Power Systems Introduction Basic Problem Formulation Modeling and Equations for Calculation of Power Flow Power Flow Equations Power Injection Equations Nonlinear Power Flow Method of Newton Power Flow Solution by Newton´s Method Power Flow in Distribution Systems The Power Summation Method The Current Summation Method Problems Quasi Static State Estimation in Electric Power Systems Introduction The Measurement Model WLS State Estimator Coupled WLS State Estimator Jacobian Matrix Fast Decoupled WLS State Estimator Linear WLS State Estimator Alternative WLS Estimator Formulations Problems Qualitative Characteristics of Measurement Sets Observability Analysis Introduction Definitions Methods Method based on the Triangular Factorization of the Gain Matrix and the concept of Factorization Paths Method based on the Triangular Factorization of the Jacobian Matrix and the concept of Factorization Paths Redundancy of Analog Measurements Introduction Methods Developed Identification of the Measurement Local Redundancy Level through the H? Matrix Identification of CMs and CSMs from the H?t Matrix Analysis Qualitative Characteristics for SCADA and SPM Measurement Systems Design and Reinforcement of Measurement Systems Update of the Qualitative Characteristics of Measurement Sets Qualitative characteristics considering the three-phase modeling of the electric network Problems Gross Errors Processing in Measurements Introduction Classification of Gross Errors Redundancy x GE Processing Properties of Measurement Residuals Detection and Identification of Measurements with Gross Errors Chi-Square Distribution and J (x) Index Test Largest Normalized Residual Test test^ Hypothesis Identification Test (HTI) Correction Problems Methodology for Error Processing based on the Innovation Index Introduction Geometric Interpretation of Measurement Errors Innovation Concept and Innovation Index (II) Application of Innovation Methodology for Processing Gross Errors CME-associated ?2 distribution New GE Detection and Identification Test Correction of Measurement Error Flowchart of the New Methodology for GE Processing Application of Geometric Method for Parameter and Topology Error Processing Problems Data driven state estimation solutions Introduction Non synchronized measurement models Unbalanced WLS quasi static state estimator Methodology for Error Processing based on the Unbalanced model Measurement Error Processing Parameter Error Processing Topology Error Processing R-X model FusionProblems

• ISBN: 978-0-323-90033-1
• Editorial: Elsevier
• Encuadernacion: Rústica
• Páginas: 296
• Fecha Publicación: 01/06/2021
• Nº Volúmenes: 1
• Idioma: Inglés