Download or read book Novel Computational Methods for the Reliability Evaluation of Composite Power Systems Using Computational Intelligence and High Performance Computing Techniques written by Robert C. Green (II.) and published by . This book was released on 2012 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: The probabilistic reliability evaluation of power systems is a complex and highly dimensional problem that often requires a large amount of computational resources, particularly processing power and time. The complexity of this problem is only increasing with the advent of the smart grid and its accompanying technologies, such as plug-in hybrid electric vehicles (PHEVs). Such technologies, while they add convenience, intelligence, and reduce environmental impacts, also add dynamic and stochastic loads that challenge the current reliability and security of the power grid. One method that is often used to evaluate the reliability of power systems is Monte Carlo simulation (MCS). As the complexity and dimensionality of a power system grows, MCS requires more and more resources leading to longer computational times. Multiple methods have previously been developed that aid in reducing the computational resources necessary for MCS in order to achieve a more efficient and timely convergence while continuing to accurately assess the reliability of a given system. Examples include analytical state space decomposition, population based metaheuristic algorithms (PBMs), and the use of high performance computing (HPC). In order to address these issues, this dissertation is focused on improving the performance of algorithms used to examine the level of reliability in composite power systems through the use of computational intelligence (CI) and HPC, while also investigating the impact of PHEVs on the power grid at the composite and distribution levels. Contributions include the development and exploration of 3 variations of a new, hybrid algorithm called intelligent state space pruning (ISSP) that combines PBMs with non-sequential MCS in order to intelligently decompose, or prune, a given state space and improve computational efficiency, an evaluation of the use of latin hypercube sampling and low discrepancy sequences in place of MCS, the use of serial and parallel support vector machines for state classification when evaluating power system reliability using MCS, an investigation of the impact that PHEVs will have when integrated into the power grid at the distribution level, and the development of a new model for the probabilistic evaluation of composite system reliability that includes one of the key technologies in the smart grid, PHEVs.
Download or read book New Computational Methods in Power System Reliability written by David Elmakias and published by Springer. This book was released on 2008-05-22 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: Power system reliability is the focus of intensive study due to its critical role in providing energy supply to modern society. This comprehensive book describes application of some new specific techniques: universal generating function method and its combination with Monte Carlo simulation and with random processes methods, Semi-Markov and Markov reward models and genetic algorithm. The book can be considered as complementary to power system reliability textbooks.
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 High Performance Computing in Power and Energy Systems written by Siddhartha Kumar Khaitan and published by Springer Science & Business Media. This book was released on 2012-09-07 with total page 387 pages. Available in PDF, EPUB and Kindle. Book excerpt: The twin challenge of meeting global energy demands in the face of growing economies and populations and restricting greenhouse gas emissions is one of the most daunting ones that humanity has ever faced. Smart electrical generation and distribution infrastructure will play a crucial role in meeting these challenges. We would need to develop capabilities to handle large volumes of data generated by the power system components like PMUs, DFRs and other data acquisition devices as well as by the capacity to process these data at high resolution via multi-scale and multi-period simulations, cascading and security analysis, interaction between hybrid systems (electric, transport, gas, oil, coal, etc.) and so on, to get meaningful information in real time to ensure a secure, reliable and stable power system grid. Advanced research on development and implementation of market-ready leading-edge high-speed enabling technologies and algorithms for solving real-time, dynamic, resource-critical problems will be required for dynamic security analysis targeted towards successful implementation of Smart Grid initiatives. This books aims to bring together some of the latest research developments as well as thoughts on the future research directions of the high performance computing applications in electric power systems planning, operations, security, markets, and grid integration of alternate sources of energy, etc.
Download or read book Oscillatory Stability Assessment of Power Systems Using Computational Intelligence written by Simon P. Teeuwsen and published by . This book was released on 2005 with total page 155 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Computational Intelligence Applications to Power Systems written by Yong-Hua Song and published by Springer Science & Business Media. This book was released on 1996-11-30 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book represents a thoroughly comprehensive treatment of computational intelligence from an electrical power system engineer's perspective. Thorough, well-organised and up-to-date, it examines in some detail all the important aspects of this very exciting and rapidly emerging technology, including: expert systems, fuzzy logic, artificial neural networks, genetic algorithms and hybrid systems. Written in a concise and flowing manner, by experts in the area of electrical power systems who have had many years of experience in the application of computational intelligence for solving many complex and onerous power system problems, this book is ideal for professional engineers and postgraduate students entering this exciting field. This book would also provide a good foundation for senior undergraduate students entering into their final year of study.
Download or read book Reliability Evaluation of Composite Power Systems Including the Effects of Hurricanes written by Yong Liu and published by . This book was released on 2011 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Adverse weather such as hurricanes can significantly affect the reliability of composite power systems. Predicting the impact of hurricanes can help utilities for better preparedness and make appropriate restoration arrangements. In this dissertation, the impact of hurricanes on the reliability of composite power systems is investigated. Firstly, the impact of adverse weather on the long-term reliability of composite power systems is investigated by using Markov cut-set method. The Algorithms for the implementation is developed. Here, two-state weather model is used. An algorithm for sequential simulation is also developed to achieve the same goal. The results obtained by using the two methods are compared. The comparison shows that the analytical method can obtain comparable results and meantime it can be faster than the simulation method. Secondly, the impact of hurricanes on the short-term reliability of composite power systems is investigated. A fuzzy inference system is used to assess the failure rate increment of system components. Here, different methods are used to build two types of fuzzy inference systems. Considering the fact that hurricanes usually last only a few days, short-term minimal cut-set method is proposed to compute the time-specific system and nodal reliability indices of composite power systems. The implementation demonstrates that the proposed methodology is effective and efficient and is flexible in its applications. Thirdly, the impact of hurricanes on the short-term reliability of composite power systems including common-cause failures is investigated. Here, two methods are proposed to archive this goal. One of them uses a Bayesian network to alleviate the dimensionality problem of conditional probability method. Another method extends minimal cut-set method to accommodate common-cause failures. The implementation results obtained by using the two methods are compared and their discrepancy is analyzed. Finally, the proposed methods in this dissertation are also applicable to other applications in power systems.
Download or read book Computational Methods in Power System Analysis written by Reijer Idema and published by Atlantis Press. This book was released on 2014-03-10 with total page 110 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book treats state-of-the-art computational methods for power flow studies and contingency analysis. In the first part the authors present the relevant computational methods and mathematical concepts. In the second part, power flow and contingency analysis are treated. Furthermore, traditional methods to solve such problems are compared to modern solvers, developed using the knowledge of the first part of the book. Finally, these solvers are analyzed both theoretically and experimentally, clearly showing the benefits of the modern approach.
Download or read book High performance Computing Methods in Large scale Power System Simulation written by Lukas Razik and published by . This book was released on 2020 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Computational Methods for Large Sparse Power Systems Analysis written by S.A. Soman and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 349 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational methods in Power Systems require significant inputs from diverse disciplines, such as data base structures, numerical analysis etc. Strategic decisions in sparsity exploitation and algorithm design influence large-scale simulation and high-speed computations. Selection of programming paradigm shapes the design, its modularity and reusability. This has a far reaching effect on software maintenance. Computational Methods for Large Sparse Power Systems Analysis: An Object Oriented Approach provides a unified object oriented (OO) treatment for power system analysis. Sparsity exploitation techniques in OO paradigm are emphasized to facilitate large scale and fast computing. Specific applications like large-scale load flow, short circuit analysis, state estimation and optimal power flow are discussed within this framework. A chapter on modeling and computational issues in power system dynamics is also included. Motivational examples and illustrations are included throughout the book. A library of C++ classes provided along with this book has classes for transmission lines, transformers, substation etc. A CD-ROM with C++ programs is also included. It contains load flow, short circuit analysis and network topology processor applications. Power system data is provided and systems up to 150 buses can be studied. Other Special Features: This book is the first of its kind, covering power system applications designed with an OO perspective. Chapters on object orientation for modeling of power system computations, data structure, large sparse linear system solver, sparse QR decomposition in an OO framework are special features of this book.
Download or read book New Approaches to Composite Reliability Assessment of Smart Power Systems written by Badr Lami and published by . This book was released on 2017 with total page 123 pages. Available in PDF, EPUB and Kindle. Book excerpt: Electric power networks are complex systems because of their geographic spread and the consequent need for interconnections and integration of different components such as generators, transformers, lines, reactors, relays, and loads. Therefore, power utilities seek to ensure an acceptable degree of reliability in planning and operations, and accordingly, need information on component outages while satisfying the growing demand in order to ensure the availability of the system and prevent downtimes. Power systems of today are facing major challenges because of the rapid increase in penetration of energy resources (ERs) and plug-in electric vehicles (PEV). This thesis focuses on the evaluation of composite system reliability using direct probabilistic analysis techniques. The research presents the mathematical foundations, evaluation procedures, and reliability and risk indices associated with composite power system reliability evaluation using the minimal cut set calculations. The concept of minimal cut sets is applied to evaluate two sets of reliability and risk indices, system indices and nodal indices. System indices are essential for system planners and operators to determine the likelihood of interruption of supply, while nodal indices provide useful information on significant load points. The performance of the system under outage condition of generators, transmission lines, or both, is examined by conducting an appropriate power flow study. An optimal power flow (OPF) model is solved to find the system and nodal minimal cut sets and the associated indices. The thesis presents a novel composite system reliability based planning for ERs with clustering techniques based approaches to determine the optimal location, size and year of installation of ERs in the system. The K-means clustering and Fuzzy C-means clustering techniques are applied to the set of reliability indices, Load Not Served per Interruption (LNSI), which are determined using nodal minimal cut sets. The nodal minimal cut sets are obtained using an OPF based approach. Once the optimal sizes and locations of ERs are obtained, the earliest year of their penetration into the system is determined using an adequacy check algorithm. The thesis further presents a novel method to detect the critical components of composite power systems under steady-state conditions and short-term operations in order to help planners make economic decisions on new investments in generation capacities and transmission lines upgrades, and also to help operators maintain the delivery of electricity during system failure and disturbance events. Each component is ranked based on minimal cut set outage probability and the consequent loss of load arising from the outages of components belonging to a minimal cut set. Finally, the thesis presents a novel framework to evaluate the impact of PEV charging loads on composite power system reliability. A Smart-OPF model combined with a minimum cut set approach is proposed to evaluate the system reliability indices. Demand response (DR) is included in the proposed procedure and its impact on system reliability indices is studied. The procedure to determine the critical components of the power system in the presence of PEV loads and DR is also proposed.
Download or read book Computational Intelligence in Power Engineering written by Bijaya Ketan Panigrahi and published by Springer Science & Business Media. This book was released on 2010-09-20 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume deals with different computational intelligence (CI) techniques for solving real world power industry problems. It will be extremely helpful for the researchers as well as the practicing engineers in the power industry.
Download or read book Scientific and Technical Aerospace Reports written by and published by . This book was released on 1995 with total page 602 pages. Available in PDF, EPUB and Kindle. Book excerpt: Lists citations with abstracts for aerospace related reports obtained from world wide sources and announces documents that have recently been entered into the NASA Scientific and Technical Information Database.
Download or read book Reliability Evaluation of Bulk Power Systems Using Analytical and Equivalent Approaches written by and published by . This book was released on 1999 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Electric power systems throughout the world are undergoing considerable changes due to the converging forces of deregulation, technological revolution and evolving customer expectations. Quantitative reliability evaluation plays an important role in the development, design and operation of composite generation and transmission or bulk power systems. This thesis presents research conducted on the development and examination of concepts, techniques and pertinent factors in the reliability evaluation of composite power systems using direct analytical and equivalent analytical approaches. A major difficulty in composite system reliability evaluation using analytical methods is the long computation times required to investigate the extremely large number of possible system outage events in an actual composite system. Only the credible system states are usually investigated. The credible system states are those that make significant contributions to the reliability indices and are usually determined by considering outages up to a certain level. The computation time increases rapidly with increase in system size and the defined outage level. The obtained adequacy indices can often be inaccurate due to limited depth of analysis. Computation times can be significantly reduced when the unchanging portion of a system can be replaced by a reduced equivalent reliability model. Equivalents can prove very useful in the evaluation of large systems where sensitivity studies are to be performed on a portion of the system or when the system is to be interconnected to a further system, which is to be studied in detail. Reliability equivalent concepts also have many other applications in composite system evaluation. This thesis illustrates the foundations, evaluation procedures, pertinent factors, reliability indices and computer program design concepts associated with composite system evaluation using the analytical approach. The thesis presents three advanced algorithms which effectiv.
Download or read book Computational Intelligence in Power Engineering written by Ajith Abraham and published by . This book was released on 2010-09-16 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Composite Power Systems Reliability Evaluation written by J. R. Ochoa-Mendoza and published by . This book was released on 1986 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Reliability Assessment Techniques in Composite Power Systems written by E. D. C. Del Carpio and published by . This book was released on 1989 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
