Download or read book Machine Learning Based Real time Monitoring of Long term Voltage Stability Using Voltage Stability Indices written by Kalana Dharmapala and published by . This book was released on 2020 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Voltage instability manifests as a progressive voltage drop leading to a voltage collapse. It has been associated with many recent blackouts occurred at various parts of the world. Ability to predict the proximity to voltage instability in real-time using measurements can improve the security of power systems. Among the various techniques that are available to assess the proximity to voltage instability of a power system, Voltage Stability Indices (VSIs) are the widely considered as suitable for generating real-time quantitative parameters that indicate the voltage security level. The majority of the VSIs are theoretically coherent at the proximity of the point of system voltage collapse where they reach some critical value. However, their ability to accurately indicate the voltage stability margin varies with power system operating conditions and under different contingencies: It becomes difficult for the system operators to differentiate voltage instabilities from normal operating conditions using simple rules such as thresholds. Loadability Margin (LM) is a direct representation of proximity to long-term voltage stability and it is also an easily understandable indicator of voltage stability. However, it is difficult to determine the LM of a large power system through direct computations in real-time. As a solution, a new machine learning based approach is suggested to predict the LM. The proposed technique uses different VSIs computed from synchrophasor measurements as inputs to several Machine Learning Models (MLMs) which forms an ensemble that collectively predict the LM. The VSIs used for each MLM is carefully chosen to include those based on different principles. A procedure that include automated training data generation, correlation based input feature selection, and performance based choice of machine learning algorithm is proposed to develop the proposed system. The studies conducted on the IEEE-14 and -118 bus systems showed that the Random Forest Regression gives the best performance in terms of the accuracy and robustness. The effects of practical aspects such as synchrophasor measurement errors on the LM prediction accuracy were analyzed. Finally, a real-time version of the proposed LM prediction system was implemented on PhasorSmart® synchrophasor application platform and was tested using the IEEE 14-bus system and phasor measurement units simulated on RTDS® real-time simulator.

Download or read book Voltage Stability in Electrical Power Systems written by Farid Karbalaei and published by John Wiley & Sons. This book was released on 2022-12-28 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explore critical topics and the latest research in voltage stability in electric power systems In Voltage Stability in Electrical Power Systems: Concepts, Assessment and Methods for Improvement, two distinguished electrical engineers deliver a comprehensive discussion of voltage stability analysis in electrical power systems. The book discusses the concept of voltage stability, effective factors and devices, and suitable system modeling, offering readers an authoritative overview of the subject and strategies to prevent instability in power systems. The authors explore critical topics such as load and load tap changer (LTC) transformer modeling and the impact of distributed generation and transmission-distribution interactions on voltage stability. They also present practical methods to improve voltage stability. Readers will also find: Thorough introductions to voltage stability, effective factors and devices, and suitable systems modeling Comprehensive explorations of voltage stability assessment methods, including the continuation power flow methods and PV-curve fitting In-depth explorations of methods of improving voltage stability, including preventive and corrective methods Fulsome presentations of measurement-based indices and model-based indices of stability assessment Perfect for engineers and other professionals designing electric power systems, Voltage Stability in Electrical Power Systems: Concepts, Assessment and Methods for Improvement will also earn a place in the libraries of graduate and senior undergraduate students with an interest in power systems.

Download or read book Computational Techniques for Voltage Stability Assessment and Control written by Venkataramana Ajjarapu and published by Springer Science & Business Media. This book was released on 2007-05-27 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides comprehensive details on continuation power flow, and reviews concepts in bifurcation theory and continuation methods for assessing power system voltage stability. The author proposes a uniform framework that provides computational approaches for both short-term and long-term voltage stability phenomena. Readers can access the author’s web-based simulation tools, which are based on the advice in this book, to simulate tests of systems up to the size of 200 busses.

Download or read book Using Real Time Statistical Data to Improve Long Term Voltage Stability in Stochastic Power Systems written by Samuel Chapman Chevalier and published by . This book was released on 2016 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: In order to optimize limited infrastructure, many power systems are frequently operated close to critical, or bifurcation, points. While operating close to such critical points can be economically advantageous, doing so increases the probability of a blackout. With the continued deployment of Phasor Measurement Units (PMUs), high sample rate data are dramatically increasing the real time observability of the power grids. Prior research has shown that the statistics of these data can provide useful information regarding network stability and associated bifurcation proximity. Currently, it is not common practice for transmission and distribution control centers to leverage the higher order statistical properties of PMU data. If grid operators have the tools to determine when these statistics warrant control action, though, then the otherwise unused statistical data present in PMU streams can be transformed into actionable information. In order to address this problem, we present two methods that aim to gauge and improve system stability using the statistics of PMU data. The first method shows how sensitivity factors associated with the spectral analysis of the reduced power flow Jacobian can be used to weight and filter incoming PMU data. We do so by demonstrating how the derived participation factors directly predict the relative strength of bus voltage variances throughout a system. The second method leverages an analytical solver to determine a range of “critical” bus voltage variances. The monitoring and testing of raw statistical data in a highly observable load pocket of a large system are then used to reveal when control actions are needed to mitigate the risk of voltage collapse. A simple reactive power controller is then implemented that pushes the stability of the system back to a stable operating paradigm. Full order dynamic time domain simulations are used in order to test this method on both the IEEE 39 bus system and the 2383 bus Polish system. We also compare this method to two other, more conventional, controllers. The first relies on voltage magnitude signals, and the second depends only on local control of a reactive power resource. This comparison illustrates how the use of statistical information from PMU measurements can substantially improve the performance of voltage collapse mitigation methods.

Download or read book Application of Machine Learning and Deep Learning Methods to Power System Problems written by Morteza Nazari-Heris and published by Springer Nature. This book was released on 2021-11-21 with total page 391 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book evaluates the role of innovative machine learning and deep learning methods in dealing with power system issues, concentrating on recent developments and advances that improve planning, operation, and control of power systems. Cutting-edge case studies from around the world consider prediction, classification, clustering, and fault/event detection in power systems, providing effective and promising solutions for many novel challenges faced by power system operators. Written by leading experts, the book will be an ideal resource for researchers and engineers working in the electrical power engineering and power system planning communities, as well as students in advanced graduate-level courses.

Download or read book Application of Artificial Neural Networks for Voltage Stability Evaluation of Power Systems written by Satish. C. Vallabhan and published by . This book was released on 1995 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt:

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 Advanced Control Optimization Paradigms for Energy System Operation and Management written by Kirti Pal and published by CRC Press. This book was released on 2023-02-24 with total page 247 pages. Available in PDF, EPUB and Kindle. Book excerpt: Distributed energy technologies are gaining popularity nowadays; however, due to the highly intermittent characteristics of distributed energy resources, a larger penetration of these resources into the distribution grid network becomes of major concern. The main issue is to cope with the intermittent nature of the renewable sources alongside the requirements for power quality and system stability. Unlike traditional power systems, the control and optimization of complex energy systems comprising of wind, solar, thermal, and energy storage becomes difficult in many aspects, such as modelling, integration, operation, coordination and planning etc. This means that energy conversion as per the standards imposed by the energy market is unachievable without adequate control, management, and optimization. This edited book serves as a resource for the engineers, scientists and professionals working on distributed energy systems. The book is an extensive collection of state-of-the-art studies on advanced control paradigms for complex energy systems, with emphasis on the optimization and management of the high penetration of distributed energy resources into power distribution networks. Readers will find the book inspiring and useful whilst carrying out their own research in distributed energy systems. Key features • An extensive collection of state-of-the-art studies on advanced control paradigms for complex energy systems.• Emphasis on the optimization and management of high penetration of distributed energy resources into power/energy distribution networks.• Serves as a valuable resource for engineers, scientists, academicians, experienced professionals, and research scholars who are working in management of energy systems.

Download or read book Real time Voltage Stability Monitoring and Control for Load Areas written by Fengkai Hu and published by . This book was released on 2016 with total page 160 pages. Available in PDF, EPUB and Kindle. Book excerpt: This dissertation proposes a hybrid approach for real-time monitoring and controlling voltage stability of a load area fed by N tie lines. This hybrid approach integrates both simulation-based and measurement-based approaches for voltage stability assessment (VSA). First, for measurement-based VSA (MBVSA), a new method is proposed for monitoring and control of load areas, which adopts an N+1 buses equivalent system so as to model and monitor individual tie lines of a load area compared to a traditional MBVSA method adopting a Thevenin equivalent. For each tie line, the new method solves the power transfer limit against voltage instability analytically as a function of all parameters of that equivalent, which is online identified from real-time synchronized measurements on boundary buses of the load area. Thus, this new MBVSA method can directly calculate the real-time power transfer limit on each tie line. Second, in order to assess the voltage stability margins under an n-1 contingency, based on the proposed MBVSA method, two sensitivity analyses have been performed, which are respectively for the parameter sensitivity of the equivalent system and the sensitivity of the tie line flow under an n-1 contingency. Third, the proposed MBVSA method implemented for both the real-time condition and potential n-1 contingencies is integrated with the simulation-based VSA approach to form a hybrid approach. The MBVSA method helps reduce the computation burden by eliminating the unimportant contingencies while the simulation-based method provides accurate information for specific “what if” scenarios such as stability limit and margin indices under n-1 contingency conditions. In addition, simulation using the model of the system can provide recommendations for preventive control if potential voltage instability is identified. This proposed hybrid VSA approach has been validated on the NPCC (Northeast Power Coordinating Council) Large-scale Test Bed (LTB) system developed by the CURENT (Center for Ultra-Wide-Area Resilient Electric Energy Transmission Networks), and also implemented on the CURENT Hardware Test Bed (HTB) system. The effectiveness of the MBVSA in real-time monitoring and closed-loop control against voltage instability has been validated.

Download or read book Data Driven Algorithms for Power System Load Model Parameter Estimation and Voltage Stability Assessment written by Syed Muhammad Hur Rizvi and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Voltage-dependent behavior of power system load greatly influences the power system's operational characteristics, and thus appropriate load modeling is vital for accurate power system studies. The availability of fast and accurate PMU measurements at substations encourages researchers to develop aggregate load models that can be utilized in transmission voltage stability assessment. The power system's voltage stability is immensely important for secure and optimal operation and is directly impacted by load behavior. The power system's long-term voltage stability status is affected by the steady-state behavior of the power system load. It is crucial to consider the composite (dynamic + static) behavior of load for determining short-term voltage stability status. The development of accurate voltage stability assessment tools for different timing paradigms is paramount for the secure and reliable operation of the power grid.he first part of this thesis considers the development of robust load parameter estimation algorithms. This thesis develops several algorithms for accurate steady-state load parameter estimation. Firstly the regression-based load parameter estimation approaches normally considered in the literature are enhanced by leveraging more information about the numerical characteristics of PMU data. Secondly, a framework is developed to use powerful machine-learning tools for steady-state load parameter estimation. A composite load parameter estimation algorithm is developed to consider electronic load behavior in aggregate load parameter estimation. The developed load parameter estimation algorithms contribute to state of the art by improving load parameter tracking accuracy. The second part of this thesis considers the development of novel voltage stability assessment tools considering the evolving behavior of power systems. A hybrid voltage stability assessment tool is developed that appropriately considers generators' reactive power reserve status while computing the voltage stability index. Secondly, a continuation power flow tool is developed to consider the impact of the distribution system infrastructure on voltage stability status in detail. Such kind of a tool is needed to accommodate the active behavior of distribution for voltage stability assessment. Thirdly a short-term voltage stability assessment framework is developed using a 1D-convolutional neural network for early voltage collapse detection and severity quantification of short-term voltage stability events.

Download or read book Static and Dynamic Voltage Stability Analysis written by Umamaheswara Rao Pothula and published by LAP Lambert Academic Publishing. This book was released on 2010-01 with total page 116 pages. Available in PDF, EPUB and Kindle. Book excerpt: Voltage instability has been a great concern for a long time in electrical power industry. A system enters a state of instability due to increase in demand, a sudden large disturbance or a change in system condition that causes a progressive and uncontrollable decline in voltage. It is therefore interest to study dynamic and static aspects of voltage stability.In this Book, Effects of induction motor load on short-term voltage stability and the effects of dynamics of slow-active devices on long- term voltage stability of a system were also investigated using PV curves and time domain analysis (MATLAB/SIMULINK). A technique to determine the critical fault clearing time to prevent stalling of induction motor load has been presented. In addition, a method to determine voltage stability index based on the complex voltages of all buses is proposed and used in estimating the maximum loading of the power system and for identifying weakest segments of a power system to prevent voltage instability/collapse by providing appropriate reactive compensations.

Download or read book Use of Voltage Stability Assessment and Transient Stability Assessment Tools in Grid Operations written by Sarma (NDR) Nuthalapati and published by Springer Nature. This book was released on 2021-05-28 with total page 403 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book brings together real-world accounts of using voltage stability assessment (VSA) and transient stability assessment (TSA) tools for grid management. Chapters are written by leading experts in the field who have used these tools to manage their grids and can provide readers with a unique and international perspective. Case studies and success stories are presented by those who have used these tools in the field, making this book a useful reference for different utilities worldwide that are looking into implementing these tools, as well as students and practicing engineers who are interested in learning the real-time applications of VSA and TSA for grid operation.

Download or read book Analysis on Voltage Stability Indices written by Christine Elizabeth Doig Cardet and published by . This book was released on 2010 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis discusses the performance of different line voltage stability indices previously studied in literature including Lmn Index, Fast Voltage Stability Index (FVSI), Voltage Collapse Point Indicators (VCPI), and LQP Index, as well as the traditional Jacobian index based on the minimum eigenvalue of the Jacobian matrix. The indices were tested in a small 5-bus system and in a larger 39-bus system. The simulation tool used was RTDS® and the indices where computed using the control blocks components in order to monitor the values in real time. This method was chosen to have the indices values available for future control algorithm development. All the indices were found consistent with their theoretical background and the performance comparison was based on three characteristics: their accuracy, robustness to uncertainty and usable for control purposes. From the results and based on these comparison characteristics, VCPI (p) was found to have the best performance from the indices studied.

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 Real Time Stability Assessment in Modern Power System Control Centers written by S. C. Savulescu and published by Wiley-IEEE Press. This book was released on 2009-03-04 with total page 400 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 Real Time Voltage Stability Monitoring and Control Using Synchrophasors written by Xing Liu and published by . This book was released on 2012 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: One new real-time Voltage Stability Monitoring framework and its corresponding Advanced Voltage Control scheme provide the possibility of improvement in voltage stability, security and control in power systems. They take full advantage of the new measurement method Synchrophasors in current bulk power system so that more accurate assessment and control action can be achieved in less time using complex information.

Download or read book Online Assessment and Control for Voltage Stability with Machine Learning based Approaches written by 蔡华翔 and published by . This book was released on 2021 with total page 112 pages. Available in PDF, EPUB and Kindle. Book excerpt: