Distributed robust power system state estimation vassilis kekatos, member, ieee, and georgios b. Power system state estimation with dynamic optimal measurement selection jinghe zhang, greg welch and gary bishop department of computer science university of north carolina at chapel hill chapel hill, nc, usa email. State estimation and control for systems with perspective. For example, ofgems 2017 state of the energy market report found. Theory and implementation crc press book offering an uptodate 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. Type of state estimation depending on the time variant or invariant nature of measurements and the static dynamic model of the power. It uses an abundance of examples, models, tables, and guidelines to clearly examine new aspects of state estimation, the testing. Theory and implementation power engineering willis abur, ali, exposito, antonio gomez on. Pdf uncertainty modeling in power system state estimation. Kalman filters for dynamic and secure smart grid state. Robust dynamic state estimation in power systems a dissertation presented by alireza rouhani to the department of electrical and computer engineering in partial fulfillment of the requirements for the degree of doctor of philosophy in electrical engineering in the field of power systems northeastern university boston, massachusetts february 2017. Jun 18, 2014 state estimation in power systems means calculating the future state of a power system based on the measurements that can be made on a system model. Distributed state estimation for microgrids sciencedirect.
In this work, we dealt with the problem of dse of a synchronous machine by introducing a novel state spacebased least mean fourth sslmf algorithm. The method utilizes the graph theory exploring for power. Single phase model p, q, v measurement set nonsimultaneousness of measurements. Written by two expert researchers in the field, power system state estimation extensively details topics never before covered in depth in any. Our theory of harm is that the merger, by reducing the number of large energy. Pdf power system state estimation accuracy enhancement. The impact of pseudomeasurements on state estimator. Theory and implementation crc press, boca raton, usa, 2004. Accurate and redundant telemetry and an accurate transmission power system model are required by state estimator in order to produce an optimal estimation of.
Pdf power system observability analysis is aimed at determination of state estimation solvability with respect to an available. This colloquial meaning was the starting point for defining the concept of state in system theory. Particle swarm optimization for power system state estimation. State estimation and control for systems with perspective outputs1 jo. Here, the word state refers to condition, as in the example since he went into the hospital, his state of health worsened daily. State estimation and power flow analysis of power systems. Powersystem state estimation based on pmus infoscience. Overview of state estimation technique for power system. On the use of pmus in power system state estimation antonio gomezexp.
The role of state estimation in power system operation. Power system topological observability analysis us. Hence they can be estimated along with the system state variables and used to calibrate the measurements. Automatic regionalization algorithm for distributed state. The state estimation problem is to estimate n power sys tem state variables in x x1. Uncertainty and state estimation of power systems a thesis submitted to the university of manchester for the degree of doctor of philosophy in the faculty of.
The approach enables observability analysis and restoration pseudomeasurement selection in a simple way with. Theory and implementation power engineering willis by abur, ali. Energy systems, volume 12, issue 2, april 1990, pages 8. Implementation of the proposed jaxrpc model for power system state estimation the power system state estimation operation is represented as a web service in a distributed environment using jaxrpc. In order to implement a prototype of the proposed mtd mechanism, we. Pdf a method for uncertainty analysis in power system state estimation is proposed. Power system state estimation theory and implementation. Implement both state estimation and the timing offset estimation simultaneously. The concept of state in system theory in system theory, state is a key concept. Overview of state estimation technique for power system control. Preface introduction operating states of a power system power system security analysis state estimation summary weighted least squares state estimation introduction component modeling and assumptions building the network model maximum likelihood estimation measurement model and. Accuracy evaluation of power system state estimation.
State estimation assigning a value to an unknown system state variable based on measurements from that system according to some criteria. This paper provides a numerical approach to observability analysis. Conic relaxations for power system state estimation with. Given enough phasor measurements, state estimation problem will state estimation and its related functions are f. State estimation is of interest in signal processing where time delays usually are a minor concern. Concepts of decouplin9, ill conditioning and robustness in state estimation are discussed. Implement novel systems, with a view to enhance the standard of living of the society. An algorithm for observability determination in bus system state estimation using matlab simulation er. Best current practice consists in estimating the state every few tens of seconds or even minutes by using asynchronous measurements of rtus.
Theory and implementation power engineering willis at. State estimation in electric power systems springerlink. State estimation in electric power systems a generalized approach. State space least mean fourth algorithm for dynamic state. A generalized approach crystallizes thirty years of wls state estimation theory and practice in power systems and focuses on techniques adopted by state estimation developers worldwide. Power system harmonic state estimation and observability analysis via sparsity maximization huaiwei liao, student member, ieee abstractharmonic state estimation hse is used to locate harmonic sources and estimate harmonic distributions in power transmission networks. Trends at present, out of about 100 modern control state estimation in power system operation centers which are in operation throughout the world, there are approximately 18 centers which have state estimation in service. Thus, corruption of the psse may lead to severe consequences, such as financial losses.
An algorithm for observability determination in bus system. State estimation of the power system using robust estimator. Power system state estimation using wls file exchange. Many market decisions will be based on knowing the present state of the system accurately. Enhanced power system state estimation techniques for the. Power system functionality is determined by the evaluation of the power system state estimation psse. Mar 24, 2004 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. Kalman filters for dynamic and secure smart grid state estimation. The process involves imperfect measurements that are redundant and the process of estimating the system states is based on a statistical criterion that estimates the true value o. Various techniques are available in literature for dynamic state estimation which can be applied to power systems.
Moving target defense for hardening the security of the power. The presence of gross errors in the process data for the power system state estimation psse algorithm is very crucial as they may severely degrade its results. Power system dynamic state estimation dse has always been a critical problem in studying power systems. It should be noted, however, that it is also possible to develop a deterministic worstcase theory.
Exposito, antonio gomez and a great selection of related books, art and collectibles available now at. Usually, the process involves imperfect measurements from. Theory and implementation power engineering willis ali abur, antonio gomez exposito on. The effective implementation of the programmes will discourage them from. Transmission and distribution system state estimator the philosophy is different from each other state estimation formulations 5.
It 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. The dynamic state estimator utilizes, in addition to the present. To accomplish this with high reliability, it is necessary to know the state of the power system, i. In this thesis, the power system dynamic state estimation process, based on kalman filtering techniques, is discussed. Today, state estimation is an essential part in almost every energy management system throughout the world. Pmu power system state estimation bad data processing introduction over the past few decades, power systems have become. Excerpt from power system state estimation theory and. Analysis gives explicit expression of the circumstances under which a gps attack can be successful. The theory as well as practice of weighted least squares wls is covered with significant rigor.
Experimental work at one control center on automatic data correction is going on and successful results have been reported. Power system state estimation psse has been traditionally performed at regional. Power system harmonic state estimation and observability. Its purpose is to improve the dispatch of energy, system reliability and planning capabilities by understanding the operating state of the power system. Its results, the bus voltage magnitudes and phase angles, are critical inputs for other operational tools, such as contingency analysis, optimal power. These findings support the social learning theory of career decision making. Ali abur, power system state estimation theory and implementation, marcel. Power system state estimation theory and implementationali abur antonio gomez expositomarcelmarcel dekker, inc. Adding to anons answer, some of these measurements can be now obtained in real time with phasor m. On the use of pmus in power system state estimation.
A generalized approach provides for the first time a comprehensive introduction to the topic of state estimation at an advanced textbook level. Distributed robust power system state estimation arxiv. For instance, the nigeria interbank systems nibss, which provides. Over the past twenty five years, the basic structure of power system state estimation has remained practically the same. In a real time environment, state estimation was applied to power systems by schweppe and wildes in the late 1960s 1. Challenges insightapproach gps spoofing on ieee30 system. State estimation in power systems means calculating the future state of a power system based on the measurements that can be made on a system model. Noticing that there is one equation for each measurement, the implication is that we will always attempt to obtain as many measurements as we can. State estimation is an essential tool for power system monitoring and analysis. Abstract state estimation and power flow analysis are important tools for analysis, operation and planning of a power system. Feb 21, 2009 power system state estimation using weighted least square method. Measurements are voltage magnitude, power injection and power flows. He defined the state estimator as a data processing algorithm for converting redundant meter readings and other available information into an estimate of the state of an electric power system.
Power system state estimation with dynamic optimal. State estimation algorithms fit measurements made on the system to a mathematical model in order to provide a reliable data base for other monitoring, security assessment and control functions. Electric power systems span over countries and continents to deliver electric energy to almost every industry, business, and home. To solve the estimation problem, a model of the noise vk and wk are needed.
In todays smart grid, reliability and accuracy of state estimation are central for several system control and optimization tasks, including optimal power flow, unit commitment, economic dispatch. In this paper, state estimation method a new based on the weighted least squareextended s wls method for considering both measurement errors and model inaccuracy is presented. Giannakis, fellow, ieee abstractderegulation of energy markets, penetration of renewables, advanced metering capabilities, and the urge for situational awareness, all call for systemwide power system state estimation psse. The various power system clients discover the service available in the registry by. Application of optimization power system state estimation 1.
State estimation standards revision process ercot uses a state estimator to produce load flow base cases which are used to analyze the reliability of the transmission grid. One of the essential parts of power systems are synchronous machines. The measurements taken at different time instants are utilized to minimize the influence of the random errors. Conic relaxations for power system state estimation with line measurements yu zhang, ramtin madani, and javad lavaei abstractthis paper deals with the nonconvex power system state estimation psse problem, which plays a central role in the monitoring and operation of electric power networks. Power system dynamic state estimation and load modeling. 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. This course aims to introduce graduate students with engineering backgrounds to the theory and applications of state estimation in electric power systems. The power system state estimation operation is represented as a web service in a distributed environment using jaxrpc. Generalized state estimation in generalized state estimation there is no clearcut distinction between the processing of logical and. An algorithm for observability determination in bus. Power system state estimation accuracy enhancement using temperature measurements of overhead line conductors. Graphical model for state estimation in electric power systems. Theory and implementation, authorali abur and antonio g\omez exp\osito, year2004.
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