Download or read book Meter Placement for Distribution System State Estimation Enhancement written by 盧育暘 and published by . This book was released on 2017 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Optimal Meter Placement for Distribution System State Estimation A Global Sensitivity Analysis Based Framework written by Mirko Ginocchi and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Some Aspects of Static and Dynamic Distribution System State Estimation with Optimal Meter Placement Studies written by Sreedevi Valsan Kandenkavil and published by . This book was released on 2018 with total page 68 pages. Available in PDF, EPUB and Kindle. Book excerpt: In a power distribution system, due to the evolution of Active Distribution Networks (ADNs), there is a possibility of violation of the system operational constraints. A state estimator provides an approximate snapshot of the distribution system operation when the bus voltages and power measurements are available. Thus it plays a key role in monitoring the system, thereby ensuring a safe state of operation. According to the nature of the system, Distribution System State Estimation (DSSE) can be classified in to static DSSE and dynamic DSSE. Static DSSE is commonly designed as a Weighted Least Square (WLS) estimator using either bus voltages or branch currents as system states. For dynamic DSSE, the performance of static state estimators are limited. A Kalman filter based state estimator can be used in such time varying systems. A study of the algorithms used for these two DSSE methods is necessary in order to analyze the factors affecting the estimation accuracy. In a power distribution system, with limited availability of measurements, and additional measurements being expensive, careful selection of the location for the placement of meters becomes important. The measurement meters typically considered are Phasor Measurement Units (PMUs) and power (PQ) meters. The existing placement problems lay more emphasis on minimizing the cost of installing such meters, while the quality of estimation remains ignored. Thus there is a need to formulate methods for optimal allocation of meters in a cost effective way without altering the accuracy of DSSE. In this work, a detailed study is conducted on the two static DSSE algorithms, Node Voltage based State Estimation (NVSE) and Branch Current based State Estimation (BCSE) and the DSSE performance is compared based on Average Root Mean Square (ARMSE) Value of state estimates. The thesis also analyzes the impact of the number of PMU measurements available on DSSE performance. Several optimization based approaches are proposed to address the optimal meter placement problem considering different objectives such as minimization of cost, WLS residual estimate, a multi-objective function comprising cost and WLS, and the ARMSE of the estimated bus voltage. An Iterative Extended Kalman Filter (IEKF) is used for performing dynamic DSSE. The dependency of various parameters such as selection of time frame, apriori estimate information length and PMU measurement errors on the accuracy acquired by DSSE is also presented. The studies and proposed models are simulated in a 33-bus distribution feeder. The results illustrating the efficiency and speed of convergence of different static and dynamic DSSE methods are discussed. The various optimization models for meter allocation are formulated and compared based on meter placement cost and ARMSE of voltage estimates.

Download or read book State Estimation for Optimal Meter Placement in Electric Power Systems written by Charles A. Singleton and published by . This book was released on 1980 with total page 496 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Three phase Distribution State Estimation Using Smart Meter Data written by Yu Guo and published by . This book was released on 2016 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Smart Metering written by VIjay K. Sood and published by Elsevier. This book was released on 2024-02-26 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: Smart Metering: Infrastructure, Methodologies, Applications and Challenges combines the fundamentals of smart meters in smart grids with the latest advances and technologies in advanced smart infrastructure. With a strong focus on practical guidance and applications, this book examines the design and implementation of smart meters, as well as cyber security and data management challenges. Following an introduction to smart grid architecture, the book details design elements of smart meters to enable them for specific applications, such as recording the energy consumption of users, load forecasting, resilience enhancement and energy theft detection. A deep dive into smart meter data analytics is then presented, accompanied by load forecasting methods and their advantages and challenges. Subsequent chapters also discuss outage management, fault identification and other applications of smart meters, including power network connection verifications. This is a comprehensive resource on smart metering and a valuable read to students, researchers and engineers interested in power systems engineering, smart grids, and smart energy technologies. - Discusses advanced architecture in the context of establishing smart meters in smart grids for enhanced operation and data utilization - Provides detailed discussions on smart meter data analysis - Explores the design of smart meters and possible implementation of AI, ML, and other advanced methodologies to enhance the functions of power systems using smart meter data

Download or read book Power System State Estimation written by Ali Abur and published by CRC Press. This book was released on 2004-03-24 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Advances in Electric Power and Energy written by Mohamed E. El-Hawary and published by John Wiley & Sons. This book was released on 2021-03-03 with total page 512 pages. Available in PDF, EPUB and Kindle. Book excerpt: A guide to the role of static state estimation in the mitigation of potential system failures With contributions from a noted panel of experts on the topic, Advances in Electric Power and Energy: Static State Estimation addresses the wide-range of issues concerning static state estimation as a main energy control function and major tool for evaluating prevailing operating conditions in electric power systems worldwide. This book is an essential guide for system operators who must be fully aware of potential threats to the integrity of their own and neighboring systems. The contributors provide an overview of the topic and review common threats such as cascading black-outs to model-based anomaly detection to the operation of micro-grids and much more. The book also includes a discussion of an effective mathematical programming approach to state estimation in power systems. Advances in Electric Power and Energy reviews the most recent developments in the field and: Offers an introduction to the topic to help non-experts (and professionals) get up-to-date on static state estimation Covers the essential information needed to understand power system state estimation written by experts on the subject Discusses a mathematical programming approach Written for electric power system planners, operators, consultants, power system software developers, and academics, Advances in Electric Power and Energy is the authoritative guide to the topic with contributions from experts who review the most recent developments.

Download or read book State Estimation for Enhanced Monitoring Reliability Restoration and Control of Smart Distribution Systems written by Daniel Andrew Haughton and published by . This book was released on 2012 with total page 193 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Smart Grid initiative describes the collaborative effort to modernize the U.S. electric power infrastructure. Modernization efforts incorporate digital data and information technology to effectuate control, enhance reliability, encourage small customer sited distributed generation (DG), and better utilize assets. The Smart Grid environment is envisioned to include distributed generation, flexible and controllable loads, bidirectional communications using smart meters and other technologies. Sensory technology may be utilized as a tool that enhances operation including operation of the distribution system. Addressing this point, a distribution system state estimation algorithm is developed in this thesis. The state estimation algorithm developed here utilizes distribution system modeling techniques to calculate a vector of state variables for a given set of measurements. Measurements include active and reactive power flows, voltage and current magnitudes, phasor voltages with magnitude and angle information. The state estimator is envisioned as a tool embedded in distribution substation computers as part of distribution management systems (DMS); the estimator acts as a supervisory layer for a number of applications including automation (DA), energy management, control and switching. The distribution system state estimator is developed in full three-phase detail, and the effect of mutual coupling and single-phase laterals and loads on the solution is calculated. The network model comprises a full three-phase admittance matrix and a subset of equations that relates measurements to system states. Network equations and variables are represented in rectangular form. Thus a linear calculation procedure may be employed. When initialized to the vector of measured quantities and approximated non-metered load values, the calculation procedure is non-iterative. This dissertation presents background information used to develop the state estimation algorithm, considerations for distribution system modeling, and the formulation of the state estimator. Estimator performance for various power system test beds is investigated. Sample applications of the estimator to Smart Grid systems are presented. Applications include monitoring, enabling demand response (DR), voltage unbalance mitigation, and enhancing voltage control. Illustrations of these applications are shown. Also, examples of enhanced reliability and restoration using a sensory based automation infrastructure are shown.

Download or read book Parallel State Estimation and Meter Placement in Electric Power Systems written by Kala Seidu and published by . This book was released on 1983 with total page 386 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Applications and Optimizations of Kalman Filter and Their Variants written by Asadullah Khalid and published by BoD – Books on Demand. This book was released on 2024-07-17 with total page 204 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applications and Optimizations of Kalman Filter and Their Variants is a comprehensive exploration of Kalman filters’ diverse applications and refined optimizations across various domains. It meticulously examines their role in microgrid management, offering adaptive estimation techniques for effective control strategies. The book then delves into distribution system state estimation, showcasing an innovative stochastic programming model using extended Kalman filters for reliable monitoring and control. In the realm of financial modeling, readers gain insights into how Kalman filters enhance trading strategies like pairs trading and partial co-integration, bridging finance and analytics. Moreover, the book discusses Kalman filter optimization, addressing challenges in object tracking and error reduction with techniques like dynamic stochastic approximation algorithms and M-robust estimates. With practical examples and interdisciplinary approaches, this book serves as a valuable resource for researchers, practitioners, and students looking to harness Kalman filter techniques for enhanced efficiency and accuracy across diverse fields.

Download or read book 2021 IEEE Madrid PowerTech written by IEEE Staff and published by . This book was released on 2021-06-28 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: PowerTech is the anchor conference of the IEEE PES in Europe and provides a forum for researchers and engineers involved in electric power and energy engineering to share ideas and results Both industry and academia are heartily welcomed to strengthen their collaboration and lead the innovation in the energy world

Download or read book Applications of Computational Intelligence to Power Systems written by Vassilis S. Kodogiannis and published by MDPI. This book was released on 2019-11-08 with total page 116 pages. Available in PDF, EPUB and Kindle. Book excerpt: Electric power systems around the world are changing in terms of structure, operation, management and ownership due to technical, financial, and ideological reasons. Power systems keep on expanding in terms of geographical areas, asset additions, and the penetration of new technologies in generation, transmission, and distribution. The conventional methods for solving the power system design, planning, operation, and control problems have been extensively used for different applications, but these methods suffer from several difficulties, thus providing suboptimal solutions. Computationally intelligent methods can offer better solutions for several conditions and are being widely applied in electrical engineering applications. This Special Issue represents a thorough treatment of computational intelligence from an electrical power system engineer’s perspective. Thorough, well-organised, and up-to-date, it examines in detail some of the important aspects of this very exciting and rapidly emerging technology, including machine learning, particle swarm optimization, genetic algorithms, and deep learning systems. Written in a concise and flowing manner by experts in the area of electrical power systems who have experience in the application of computational intelligence for solving many complex and difficult power system problems, this Special Issue is ideal for professional engineers and postgraduate students entering this exciting field.

Download or read book Computer Aided State Estimation of Electric Power Network written by Subramanian Srikrishna and published by BrownWalker Press. This book was released on 2020-08-01 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Download or read book Measurement Enhancement for State Estimation written by Jian Chen and published by . This book was released on 2010 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: After the deregulation of the power industry, power systems are required to be operated efficiently and economically in today's strongly competitive environment. In order to achieve these objectives, it is crucial for power system control centers to accurately monitor the system operating state. State estimation is an essential tool in an energy management system (EMS). It is responsible for providing an accurate and correct estimate for the system operating state based on the available measurements in the power system. A robust state estimation should have the capability of keeping the system observable during different contingencies, as well as detecting and identifying the gross errors in measurement set and network topology. However, this capability relies directly on the system network configuration and measurement locations. In other words, a reliable and redundant measurement system is the primary condition for a robust state estimation. This dissertation is focused on the possible benefits to state estimation of using synchronized phasor measurements to improve the measurement system. The benefits are investigated with respect to the measurement redundancy, bad data and topology error processing functions in state estimation. This dissertation studies how to utilize the phasor measurements in the traditional state estimation. The optimal placement of measurement to realize the maximum benefit is also considered and practical algorithms are designed. It is shown that strategic placement of a few phasor measurement units (PMU) in the system can significantly increase measurement redundancy, which in turn can improve the capability of state estimation to detect and identify bad data, even during loss of measurements. Meanwhile, strategic placement of traditional and phasor measurements can also improve the state estimation's topology error detection and identification capability, as well as its robustness against branch outages. The proposed procedures and algorithms are illustrated and demonstrated with different sizes of test systems. And numerical simulations verify the gained benefits of state estimation in bad data processing and topology error processing.

Download or read book Power Systems Modelling and Control Applications written by A. J. Calvaer and published by Elsevier. This book was released on 2014-05-23 with total page 549 pages. Available in PDF, EPUB and Kindle. Book excerpt: The control of power systems and power plants is a subject of worldwide interest which continues to sustain a high level of research, development and application. Papers pertaining to areas directly related to power systems and representing the state-of-the-art methods are included in this volume. The topics covered include security analysis, dynamic state estimation, voltage control, power plant control, stability analysis, data communication, expert systems and training simulators for power plants. This interchange between those involved in the research and those involved in the practical applications of new ideas and developments provide a comprehensive reference source for all involved in the power industry.

Download or read book Trends in Renewable Energy and Power Quality written by Manuel Pérez-Donsión and published by Cambridge Scholars Publishing. This book was released on 2024-03-19 with total page 636 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses and updates the trends surrounding the potential advantages of renewable energy sources, distributed generation, energy storage, and other factors relevant to smart systems. In addition to well-consolidated topics such as photovoltaic and wind generation, new issues and solutions regarding smart grids, power electronics converters, energy management, storage systems, and innovative renewable sources exploitation techniques have been considered.