Furor-Poeticus (i.e.) propheticus [[electronic resource] ] : A poetick-phrensie. Some, (probably) will call it so: thus named, therefore, let it go. It is the result of a private-musing, occasioned by a publike report in the country, of the Parliaments restauration by General George Moncke, in February 1659. and meditated soon after the said General's arrival in London, in dorso pagi, recubans sub tegmine fagi: / / by G.W. Esq

• Record Nr.: UNISA996390991503316
• Autore: Wither George <1588-1667.>
• Pubbl/distr/stampa: London, : Printed by James Cottrel., 1660
• Descrizione fisica: [4], 44 p
• Soggetti: Great Britain Politics and government 1649-1660 Poetry Early works to 1800
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Signed on F3v: George Wither.; In verse.; Annotation on Thomason copy: "Aprill"; "April. 2.".; Reproduction of the original in the British Library.
• Sommario/riassunto: eebo-0018

Single passenger rail car impact test . Volume III Test procedures, instrumentation and data [[electronic resource]]

• Record Nr.: UNINA9910693018403321
• Pubbl/distr/stampa: Washington, D.C. : , : U.S. Dept. of Transportation, Federal Railroad Administration, Office of Research and Development, , [2000]
• Altri autori (Persone): BrickleBarrie
• Soggetti: Railroad passenger cars - Crash tests; Railroad passenger cars - Dynamics; Railroad accidents - United States; Railroads - United States - Safety measures
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Title from title screen (viewed on Nov. 3, 2004).; "Authors: Barrie Brickle."; "May 24, 2000."; "Final report."
• Nota di bibliografia: Includes bibliographical references.

Power system state estimation / / Mukhtar Ahmad

• Record Nr.: UNINA9910786043403321
• Autore: Ahmad Mukhtar <1948->
• Pubbl/distr/stampa: Boston : , : Artech House, , [2013]; [Piscataqay, New Jersey] : , : IEEE Xplore, , [2012]
• ISBN: 1-5231-1750-8; 1-60807-512-5
• Descrizione fisica: 1 online resource (207 p.)
• Collana: Artech House power engineering series
• Disciplina: 621.31; 621.319/1
• Soggetti: Electric power systems - State estimation
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Description based upon print version of record.
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Preface; 1Energy Management Systems; 1.1 Real-Time Control of a Power System; 1.2 Energy Control Center; 1.3 Security Analysis and Monitoring; 1.4 State Estimation; References; 2Power Flow Equations; 2.1 Power System Representation; 2.1.1 Transmission Lines; 2.1.2 Power Transformer; 2.2 Admittance Diagram; 2.3 Power Flow Analysis; 2.3.1 Gauss-Seidel Method; 2.3.2 Newton-Raphson Method; 2.4 Decoupled Power Flow; 2.5 Visual Tools for Power Flow Studies; 2.6 DC Power Flow; 2.7 Regulating Transformers; References; 3Weighted Least Square Estimation; 3.1 Introduction.; 3.2 Properties of Weighted Least Square3.3 Maximum Likelihood Weighted Least Square State Estimation; 3.3.1 Likelihood Function; 3.4 Matrix Formulation and Measurement Measurement Model; 3.4.1 Measurement Model; 3.5 WLS State Estimation Algorithm; 3.5.1 State Estimation by Orthogonal Decomposition; 3.5.2 Equality Constrained State Estimation; 3.6 Decoupled State Estimation Method; 3.6.1 Algorithm Decoupling; 3.6.2 Model Decoupling; 3.7 DC State Estimator; References; 4Network Observability and Pseudomeasurem; 4.1 Network Graphs and Matrices; 4.2 Bus Admittance and Bus Impedance Matrices.; 4.2.1 Loop to Branch Incidence Matrix4.3 Loop Equations; 4.4 Observability Analysis; 4.5 Branch Variable Formulation; 4.5.1 New Branch Variables; 4.5.2 Measurement Model Using Branch Variables; ; 4.5.3 Observability Analysis for Branch Variable Formulation; 4.6 Network Topology Processing; 4.7 Network Configuration; 4.7.1 Topological Observability; 4.7.2 Topological Observability Algorith; 4.8 Topology Error Processing; 4.9 Detection and Identification of Topology Errors; 4.9.1 Residual Analysis; References; 5Bad Data Detection; 5.1 Bad Data Detection in WLS Method; 5.1.1 Leverage Points.; 5.2 Methods of Bad Data Detection5.2.1 Chi-Squares Test; 5.3 Identification of Bad Data; 5.3.1 Method of Normalized Residual; 5.3.2 Normalized Residuals; 5.3.3 Largest Normalized Residual Test; 5.4 Hypothesis Testing Identification; 5.5 Case Study: Improved Bad Data Processing with Strategic Placement of PMUs; References; Appendix 5A: Chi-Square Test; 6Robust State Estimation; 6.1 Basic Formulation; 6.2 Breakdown Points; 6.2.1 Leverage Points; 6.3 M-Estimators; 6.4 State Estimation Methods with Bad Data Rejection Properties; 6.4.1 Methods Using Nonquadratic Objective Functions.; 6.5 Least Absolute Value State Estimator6.6 Simplex Method; 6.7 Interior Point Algorithm; 6.8 LMS Estimator; References; Appendix 6A: Linear Programming; 6A.1 Simplex Algorithm; 7 State Estimation Using Line Current Measurements; 7.1 Introduction; 7.2 Modeling State Equations; 7.3 State Estimation with Current Measurements; 7.3.1 Multiple Solutions; 7.4 Methods to Obtain a Unique Solution; 7.5 Determining the Uniqueness of a Solution Based on Numerical Methods; 7.6 Bad Data Detection in the Presence of Current Measurements; 7.6.1 WLS State Estimation; 7.6.2 WLAV Estimation.
• Sommario/riassunto: State estimation is one of the most important functions in power system operation and control. This area is concerned with the overall monitoring, control, and contingency evaluation of power systems. It is mainly aimed at providing a reliable estimate of system voltages. State estimator information flows to control centers, where critical decisions are made concerning power system design and operations. This valuable resource provides thorough coverage of this area, helping professionals overcome challenges involving system quality, reliability, security, stability, and economy. Engineers are.