Download or read book Power System Online Stability Assessment Using Synchrophasor Data Mining written by Ce Zheng and published by . This book was released on 2013 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Traditional power system stability assessment based on full model computation shows its drawbacks in real-time applications where fast variations are present at both demand side and supply side. This work presents the use of data mining techniques, in particular the Decision Trees (DTs), for fast evaluation of power system oscillatory stability and voltage stability from synchrophasor measurements. A regression tree-based approach is proposed to predict the stability margins. Modal analysis and continuation power flow are the tools used to build the knowledge base for off-line DT training. Corresponding metrics include the damping ratio of critical electromechanical oscillation mode and MW-distance to the voltage instability region. Classification trees are used to group an operating point into predefined stability state based on the value of corresponding stability indicator. A novel methodology for knowledge base creation has been elaborated to assure practical and sufficient training data. Encouraging results are obtained through performance examination. The robustness of the proposed predictor to measurement errors and system topological variations is analyzed. A scheme has been proposed to tackle the problem of when and how to update the data mining tool for seamless online stability monitoring. The optimal placement for the phasor measurement units (PMU) based on the importance of DT variables is suggested. A measurement-based voltage stability index is proposed and evaluated using field PMU measurements. It is later revised to evaluate the impact of wind generation on distribution system voltage stability. Next, a new data mining tool, the Probabilistic Collocation Method (PCM), is presented as a computationally efficient method to conduct the uncertainty analysis. As compared with the traditional Monte Carlo simulation method, the collocation method could provide a quite accurate approximation with fewer simulation runs. Finally, we show how to overcome the disadvantages of mode meters and ringdown analyzers by using DTs to directly map synchrophasor measurements to predefined oscillatory stability states. The proposed measurement-based approach is examined using synthetic data from simulations on IEEE test systems, and PMU measurements collected from field substations. Results indicate that the proposed method complements the traditional model-based approach, enhancing situational awareness of control center operators in real time stability monitoring and control. The electronic version of this dissertation is accessible from http://hdl.handle.net/1969.1/149456

Download or read book Power System Dynamics and Stability written by Peter W. Sauer and published by John Wiley & Sons. This book was released on 2017-07-14 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: Classic power system dynamics text now with phasor measurement and simulation toolbox This new edition addresses the needs of dynamic modeling and simulation relevant to power system planning, design, and operation, including a systematic derivation of synchronous machine dynamic models together with speed and voltage control subsystems. Reduced-order modeling based on integral manifolds is used as a firm basis for understanding the derivations and limitations of lower-order dynamic models. Following these developments, multi-machine model interconnected through the transmission network is formulated and simulated using numerical simulation methods. Energy function methods are discussed for direct evaluation of stability. Small-signal analysis is used for determining the electromechanical modes and mode-shapes, and for power system stabilizer design. Time-synchronized high-sampling-rate phasor measurement units (PMUs) to monitor power system disturbances have been implemented throughout North America and many other countries. In this second edition, new chapters on synchrophasor measurement and using the Power System Toolbox for dynamic simulation have been added. These new materials will reinforce power system dynamic aspects treated more analytically in the earlier chapters. Key features: Systematic derivation of synchronous machine dynamic models and simplification. Energy function methods with an emphasis on the potential energy boundary surface and the controlling unstable equilibrium point approaches. Phasor computation and synchrophasor data applications. Book companion website for instructors featuring solutions and PowerPoint files. Website for students featuring MATLABTM files. Power System Dynamics and Stability, 2nd Edition, with Synchrophasor Measurement and Power System Toolbox combines theoretical as well as practical information for use as a text for formal instruction or for reference by working engineers.

Download or read book Real Time Stability Assessment in Modern Power System Control Centers written by S. C. Savulescu and published by John Wiley & Sons. This book was released on 2009-03-04 with total page 455 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book answers the need for a practical, hands-on guide for assessing power stability in real time, rather than in offline simulations. Since the book is primarily geared toward the practical aspects of the subject, theoretical background is reduced to the strictest minimum. For the benefit of readers who may not be quite familiar with the underlying theoretical techniques, appendices describing key algorithms and theoretical issues are included at the end of the book. It is an excellent source for researchers, professionals, and advanced undergraduate and graduate students.

Download or read book Data Fusion and Data Mining for Power System Monitoring written by Arturo Román Messina and published by CRC Press. This book was released on 2020-06-03 with total page 170 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Fusion and Data Mining for Power System Monitoring provides a comprehensive treatment of advanced data fusion and data mining techniques for power system monitoring with focus on use of synchronized phasor networks. Relevant statistical data mining techniques are given, and efficient methods to cluster and visualize data collected from multiple sensors are discussed. Both linear and nonlinear data-driven mining and fusion techniques are reviewed, with emphasis on the analysis and visualization of massive distributed data sets. Challenges involved in realistic monitoring, visualization, and analysis of observation data from actual events are also emphasized, supported by examples of relevant applications. Features Focuses on systematic illustration of data mining and fusion in power systems Covers issues of standards used in the power industry for data mining and data analytics Applications to a wide range of power networks are provided including distribution and transmission networks Provides holistic approach to the problem of data mining and data fusion using cutting-edge methodologies and technologies Includes applications to massive spatiotemporal data from simulations and actual events

Download or read book Towards On line Voltage Stability Assessment Using Synchrophasors written by Himanshu Subandhu Hirlekar and published by . This book was released on 2011 with total page 140 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Voltage instability has become a growing concern in the operation of power systems in recent years. The reason is that power systems all over are being operated with reduced margins because of increased demand exacerbated by a general reluctance to invest in improvement of the electric grid infrastructure. Until recently it was difficult to predict voltage instability in the on-line environment. However, advances in technology has made possible the on-line monitoring and assessment of voltage stability. Synchrophasors is a relatively new technology in the field of power systems which allows system operators to monitor the system conditions at specific measurement locations of the network. Synchrophasors measure voltage and current phasors with accurate time stamping with respect to Global Positioning System (GPS) clock reference. Because of the accurate time stamping, it becomes possible to compare the phasors in time. A novel voltage stability prediction algorithm using synchrophasors is proposed in this thesis. Synchrophasor data is used to perform a fast state estimation of the system. This is a departure from conventional SCADA-based state estimation. The traditional method of VQ analysis for voltage stability is put to use in this algorithm to estimate the voltage stability margin. Since we are incorporating the synchrophasor information for which the data refresh rate is fast, the algorithm being developed is proposed for on-line stability assessment. The algorithm is tested on the CIGRE 10-bus system. The results are validated using the well-known modal analysis method"--Abstract, leaf iii.

Download or read book Real Time Stability in Power Systems written by Savu C. Savulescu and published by Springer. This book was released on 2014-07-10 with total page 429 pages. Available in PDF, EPUB and Kindle. Book excerpt: This pioneering volume has been updated and enriched to reflect the state-of-the-art in blackout prediction and prevention. It documents and explains background and algorithmic aspects of the most successful steady-state, transient and voltage stability solutions available today in real-time. It also describes new, cutting-edge stability applications of synchrophasor technology, and captures industry acceptance of metrics and visualization tools that quantify and monitor the distance to instability. Expert contributors review a broad spectrum of additionally available techniques, such as trajectory sensitivities, ensuring this volume remains the definitive resource for industry practitioners and academic researchers in this critical area of power system operations.

Download or read book Stability Assessment of Interconnected Electric Power Grid Using Synchrophasor Data written by Yunhui Wu and published by . This book was released on 2015 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Monitoring and Control of Electrical Power Systems using Machine Learning Techniques written by Emilio Barocio Espejo and published by Elsevier. This book was released on 2023-01-11 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: Monitoring and Control of Electrical Power Systems using Machine Learning Techniques bridges the gap between advanced machine learning techniques and their application in the control and monitoring of electrical power systems, particularly relevant for heavily distributed energy systems and real-time application. The book reviews key applications of deep learning, spatio-temporal, and advanced signal processing methods for monitoring power quality. This reference introduces guiding principles for the monitoring and control of power quality disturbances arising from integration of power electronic devices and discusses monitoring and control of electrical power systems using benchmark test systems for the creation of bespoke advanced data analytic algorithms. Covers advanced applications and solutions for monitoring and control of electrical power systems using machine learning techniques for transmission and distribution systems Provides deep insight into power quality disturbance detection and classification through machine learning, deep learning, and spatio-temporal algorithms Includes substantial online supplementary components focusing on dataset generation for machine learning training processes and open-source microgrid model simulators on GitHub

Download or read book Intelligent Data Mining and Analysis in Power and Energy Systems written by Zita A. Vale and published by John Wiley & Sons. This book was released on 2022-12-02 with total page 500 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent Data Mining and Analysis in Power and Energy Systems A hands-on and current review of data mining and analysis and their applications to power and energy systems In Intelligent Data Mining and Analysis in Power and Energy Systems: Models and Applications for Smarter Efficient Power Systems, the editors assemble a team of distinguished engineers to deliver a practical and incisive review of cutting-edge information on data mining and intelligent data analysis models as they relate to power and energy systems. You’ll find accessible descriptions of state-of-the-art advances in intelligent data mining and analysis and see how they drive innovation and evolution in the development of new technologies. The book combines perspectives from authors distributed around the world with expertise gained in academia and industry. It facilitates review work and identification of critical points in the research and offers insightful commentary on likely future developments in the field. It also provides: A thorough introduction to data mining and analysis, including the foundations of data preparation and a review of various analysis models and methods In-depth explorations of clustering, classification, and forecasting Intensive discussions of machine learning applications in power and energy systems Perfect for power and energy systems designers, planners, operators, and consultants, Intelligent Data Mining and Analysis in Power and Energy Systems will also earn a place in the libraries of software developers, researchers, and students with an interest in data mining and analysis problems.

Download or read book Voltage Stability Assessment and Control Based on Synchrophasor Measurements in Ambient Condition written by Sayed Mohammad Amelian and published by . This book was released on 2019 with total page 87 pages. Available in PDF, EPUB and Kindle. Book excerpt: Voltage stability assessment and control are among the top priority tasks for electric utilities and power system operators. Failure in performing these correctly, has resulted in some of the major blackouts over the past few decades. Continuous loading increase on system infrastructure, higher reliability and security requirements, as well as progressive renewable resource integration, incapable of guaranteeing sustained reactive support, have all made this function more complex, and yet more crucial.Traditionally, developed algorithms for calculating voltage stability margin and recommending the necessary control action, rely on complete and accurate system models, as well as extensive offline studies. Investigating previous incidents has proved this to be a challenging goal to achieve. At the same time, integration of high-sampling measurement devices such as synchrophasors, powerful processors, and fast communication have resulted in increased situational awareness and monitoring quality of the system behavior. As a result, there is high interest today, to develop measurement-based real-time tools for determining system status from stability point of view and deduce the optimal control actions in critical conditions.In this dissertation, accurate modeling of the power system ambient data, corresponding to its operation at quasi steady-state condition is discussed, and the difference between system's steady-state response and power flow solutions is investigated. Based on this clarification, a new distributed model-free algorithm is proposed for voltage stability assessment and control of a power system, based on steady-state Q-V sensitivity of system buses. This is realized through subspace system identification from input-output response based on ambient measurements. Once the sensitivities are known, system proximity to voltage instability can be determined using the minimum sensitivity, rank system buses according to their stability margin and the need for corrective control actions, and determine the optimal set of actions needed to bring system operation point back to a secure state. To pursue the latter, two optimization approaches with different objectives based on various operating policies are introduced towards finding the best local control action within a substation. Finally, an index is introduced to determine vulnerability of the system to voltage instability caused by limitation on a generator's reactive power.

Download or read book Power System Grid Operation Using Synchrophasor Technology written by Sarma (NDR) Nuthalapati and published by Springer. This book was released on 2018-05-29 with total page 508 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book brings together successful stories of deployment of synchrophasor technology in managing the power grid. The authors discuss experiences with large scale deployment of Phasor Measurement Units (PMUs) in power systems across the world, enabling readers to take this technology into control center operations and develop good operational procedures to manage the grid better, with wide area visualization tools using PMU data.

Download or read book Synchrophasor Based Voltage Stability Monitoring and Control of Power Systems written by Saugata Swapan Biswas and published by . This book was released on 2014 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: With increasing loads, change in generation mix, environmental limitations on transmission system expansion and high competition amongst the power utilities, power systems are being pushed to voltage stability limits, thus increasing the chances of a voltage collapse that can lead to a blackout. Numerous voltage instability incidents occurring around the world in recent years have emphasized voltage stability studies during planning and operation of power systems. With the advent of synchrophasor technology, improved algorithms can be developed utilizing phasor measurements to efficiently monitor the voltage stability condition of a power system, thus enabling fast online control.

Download or read book Wide Area Power Systems Stability Protection and Security written by Hassan Haes Alhelou and published by Springer Nature. This book was released on 2020-09-21 with total page 614 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book proposes new control and protection schemes to improve the overall stability and security of future wide-area power systems. It focuses on the high penetration levels of renewable energy sources and distributed generation, particularly with the trend towards smart grids. The control methods discussed can improve the overall stability in normal and abnormal operation conditions, while the protection methods presented can be used to ensure the secure operation of systems under most severe contingencies. Presenting stability, security, and protection methods for power systems in one concise volume, this book takes the reader on a journey from concepts and fundamentals to the latest and future trends in each topic covered, making it an informative and intriguing read for researchers, graduate students, and practitioners alike.

Download or read book Big Data Analytics for Internet of Things written by Tausifa Jan Saleem and published by John Wiley & Sons. This book was released on 2021-04-20 with total page 402 pages. Available in PDF, EPUB and Kindle. Book excerpt: BIG DATA ANALYTICS FOR INTERNET OF THINGS Discover the latest developments in IoT Big Data with a new resource from established and emerging leaders in the field Big Data Analytics for Internet of Things delivers a comprehensive overview of all aspects of big data analytics in Internet of Things (IoT) systems. The book includes discussions of the enabling technologies of IoT data analytics, types of IoT data analytics, challenges in IoT data analytics, demand for IoT data analytics, computing platforms, analytical tools, privacy, and security. The distinguished editors have included resources that address key techniques in the analysis of IoT data. The book demonstrates how to select the appropriate techniques to unearth valuable insights from IoT data and offers novel designs for IoT systems. With an abiding focus on practical strategies with concrete applications for data analysts and IoT professionals, Big Data Analytics for Internet of Things also offers readers: A thorough introduction to the Internet of Things, including IoT architectures, enabling technologies, and applications An exploration of the intersection between the Internet of Things and Big Data, including IoT as a source of Big Data, the unique characteristics of IoT data, etc. A discussion of the IoT data analytics, including the data analytical requirements of IoT data and the types of IoT analytics, including predictive, descriptive, and prescriptive analytics A treatment of machine learning techniques for IoT data analytics Perfect for professionals, industry practitioners, and researchers engaged in big data analytics related to IoT systems, Big Data Analytics for Internet of Things will also earn a place in the libraries of IoT designers and manufacturers interested in facilitating the efficient implementation of data analytics strategies.

Download or read book Synchrophasor based State Estimation for Online Voltage Stability Monitoring in Power Systems written by Xinyun Lu and published by . This book was released on 2019 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: "Power distribution systems are faced with rising operational challenges and require continuous stability monitoring as the integration of renewable energy resources is increasing and the load demand is rapidly growing. In order to provide timely information about any impending grid problems to system operators, this thesis focuses on the analysis and monitoring of voltage stability on distribution system side. The implementation of synchrophasors in distribution systems enhances the situational awareness of the system. Synchrophasor measurement offers increased visibility, faster response time and more reliable state estimation, which provides a unique opportunity for developing new monitoring algorithms. This thesis proposes a voltage stability monitoring algorithm based on the synchrophasor-based linear state estimation method. Particularly, the voltage monitoring algorithm combines a set of early warning indicators with the BDS independence test (a statistical hypothesis test, after the initials of W. A. Brock, W. Dechert and J. Scheinkman). The early warning indicators are derived based on critical slowing down phenomenon in dynamical systems, and the BDS test serves as a diagnostic test to avoid false detections. The main advantage of the algorithm over other voltage stability indicators used in transmission side is that it can detect the onset of voltage instability in a faster and more accurate manner while avoiding false alarms when the system is still away from the stability boundary. Case studies conducted on a rural Quebec test feeder confirm the effectiveness of the proposed voltage stability monitoring algorithm. Reliable and fast detection of the proximity of the system states to voltage collapse conditions is achieved without false alarms." --

Download or read book Cognitive Radio Communication and Networking written by Robert Caiming Qiu and published by John Wiley & Sons. This book was released on 2012-11-05 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The author presents a unified treatment of this highly interdisciplinary topic to help define the notion of cognitive radio. The book begins with addressing issues such as the fundamental system concept and basic mathematical tools such as spectrum sensing and machine learning, before moving on to more advanced concepts and discussions about the future of cognitive radio. From the fundamentals in spectrum sensing to the applications of cognitive algorithms to radio communications, and discussion of radio platforms and testbeds to show the applicability of the theory to practice, the author aims to provide an introduction to a fast moving topic for students and researchers seeking to develop a thorough understanding of cognitive radio networks. Examines basic mathematical tools before moving on to more advanced concepts and discussions about the future of cognitive radio Describe the fundamentals of cognitive radio, providing a step by step treatment of the topics to enable progressive learning Includes questions, exercises and suggestions for extra reading at the end of each chapter Topics covered in the book include: Spectrum Sensing: Basic Techniques; Cooperative Spectrum Sensing Wideband Spectrum Sensing; Agile Transmission Techniques: Orthogonal Frequency Division Multiplexing Multiple Input Multiple Output for Cognitive Radio; Convex Optimization for Cognitive Radio; Cognitive Core (I): Algorithms for Reasoning and Learning; Cognitive Core (II): Game Theory; Cognitive Radio Network IEEE 802.22: The First Cognitive Radio Wireless Regional Area Network Standard, and Radio Platforms and Testbeds.

Download or read book Big Data Application in Power Systems written by Reza Arghandeh and published by Elsevier. This book was released on 2017-11-27 with total page 482 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big Data Application in Power Systems brings together experts from academia, industry and regulatory agencies who share their understanding and discuss the big data analytics applications for power systems diagnostics, operation and control. Recent developments in monitoring systems and sensor networks dramatically increase the variety, volume and velocity of measurement data in electricity transmission and distribution level. The book focuses on rapidly modernizing monitoring systems, measurement data availability, big data handling and machine learning approaches to process high dimensional, heterogeneous and spatiotemporal data. The book chapters discuss challenges, opportunities, success stories and pathways for utilizing big data value in smart grids. - Provides expert analysis of the latest developments by global authorities - Contains detailed references for further reading and extended research - Provides additional cross-disciplinary lessons learned from broad disciplines such as statistics, computer science and bioinformatics - Focuses on rapidly modernizing monitoring systems, measurement data availability, big data handling and machine learning approaches to process high dimensional, heterogeneous and spatiotemporal data