The Experts below are selected from a list of 22626 Experts worldwide ranked by ideXlab platform
Wenyuan Li - One of the best experts on this subject based on the ideXlab platform.
-
generation system Reliability Evaluation incorporating correlations of wind speeds with different distributions
IEEE Transactions on Power Systems, 2013Co-Authors: Wenyuan Li, Xiaofu XiongAbstract:This paper presents a Monte Carlo based generation system Reliability Evaluation method that can accurately model correlations between multiple wind speeds following different probability distributions. The assumption of normal distribution in the traditional correlation matrix method is eliminated. Applications to the Weibull, Burr, lognormal and gamma distributions which are popular for wind speed representation are analyzed in detail. The Reliability Evaluation procedure considering correlations of wind speeds following different distributions is developed. The IEEE-RTS with four additional wind farms whose wind speeds follow different types of distributions is used to demonstrate the application of the presented method in generation system Reliability Evaluation.
-
Probabilistic Transmission System Planning - Appendix C: Elements of Reliability Evaluation
Probabilistic Transmission System Planning, 2011Co-Authors: Wenyuan LiAbstract:This appendix contains sections titled: Basic Concepts Crisp Reliability Evaluation Fuzzy Reliability Evaluation
-
Incorporating aging failures in power system Reliability Evaluation
2003 IEEE Power Engineering Society General Meeting (IEEE Cat. No.03CH37491), 2003Co-Authors: Wenyuan LiAbstract:Summary form only given. The paper presents a method to incorporate aging failures in power system Reliability Evaluation. It includes development of a calculation approach with two possible probability distribution models for unavailability of aging failures and implementation in Reliability Evaluation. The defined unavailability of aging failures has a consistent form as that for repairable failures. This allows aging failures to be easily included in existing Reliability Evaluation techniques and tools. Differences between the two models using normal and Weibull distributions have been discussed. The BC Hydro north metro system was used as an example to demonstrate an application of the proposed method and models. The results indicate that aging failures have significant impacts on system Reliability, particularly for an "aged" system. Ignoring aging failures in Reliability Evaluation of an aged power system results in an overly underestimation of system risk and most likely a misleading conclusion in system planning.
-
incorporating aging failures in power system Reliability Evaluation
IEEE Transactions on Power Systems, 2002Co-Authors: Wenyuan LiAbstract:The paper presents a method to incorporate aging failures in power system Reliability Evaluation. It includes development of a calculation approach with two possible probability distribution models for unavailability of aging failures and implementation in Reliability Evaluation. The defined unavailability of aging failures has a consistent form which is the same as that for repairable failures. This allows aging failures to be easily included in existing Reliability Evaluation techniques and tools. Differences between the two models using normal and Weibull distributions have been discussed. The BC Hydro North Metro system was used as an example to demonstrate an application of the proposed method and models. The results indicate that aging failures have significant impacts on system Reliability, particularly for an "aged" system. Ignoring aging failures in Reliability Evaluation of an aged power system will result in an overly underestimation of system risk and most likely a misleading conclusion in system planning.
R. Billinton - One of the best experts on this subject based on the ideXlab platform.
-
Sensitivity analysis of probabilistic Reliability Evaluation of Korea power system
2006 IEEE Power Engineering Society General Meeting, 2006Co-Authors: Trungtinh Tran, Jaeseok Choi, Donghun Jeon, Jungji Kwon, R. BillintonAbstract:Reliability and power quality have been increasingly important in recent years due to the number of black-out events occurring through in the world. Quantity Evaluation of transmission system Reliability is very important in a competitive electricity environment. The reason is that the successful operation of electric power under a deregulated electricity market depends on transmission system Reliability management. This paper presents sensitivity analysis of probabilistic Reliability Evaluation of Korea power system in long-term planning (2005-2010) by using the transmission Reliability Evaluation for large-scale systems (TRELSS) program. The case studies present the probabilistic Reliability Evaluation indices of practical Korea power system as applied TRELSS which has determined optimally control input parameters with Korea power system
-
Probabilistic Reliability Evaluation for interconnecting the power systems in North East Asia
2006 IEEE Power Engineering Society General Meeting, 2006Co-Authors: J.s. Choi, T. Tran, J.j. Kwon, D.w. Park, J.y. Yoon, S.i. Moon, R. BillintonAbstract:This paper illustrates the case studies of Reliability Evaluation for interconnecting power systems in the north east Asia by using the tie line constrained equivalent assisting generator model (TEAG), which has been already developed in the second project year. A Reliability Evaluation program, it is named, NEAREL, based on the TEAG model was made. The Reliability Evaluation results for the seven interconnection scenarios of the actual power systems of six countries in the north east Asia are introduced and compared. The reasonable capacity of the tie line for three countries interconnection scenario is suggested from sensitivity analysis
-
a simplified wind power generation model for Reliability Evaluation
IEEE Transactions on Energy Conversion, 2006Co-Authors: Rajesh Karki, Po Hu, R. BillintonAbstract:Renewable energy sources, especially wind turbine generators, are considered as important generation alternatives in electric power systems due to their nonexhausted nature and benign environmental effects. The fact that wind power penetration continues to increase has motivated a need to develop more widely applicable methodologies for evaluating the actual benefits of adding wind turbines to conventional generating systems. Reliability Evaluation of generating systems with wind energy sources is a complex process. It requires an accurate wind speed forecasting technique for the wind farm site. The method requires historical wind speed data collected over many years for the wind farm location to determine the necessary parameters of the wind speed models for the particular site. The Evaluation process should also accurately model the intermittent nature of power output from the wind farm. A sequential Monte Carlo simulation or a multistate wind farm representation approach is often used. This paper presents a simplified method for Reliability Evaluation of power systems with wind power. The development of a common wind speed model applicable to multiple wind farm locations is presented and illustrated with an example. The method is further simplified by determining the minimum multistate representation for a wind farm generation model in Reliability Evaluation. The paper presents a six-step common wind speed model applicable to multiple geographic locations and adequate for Reliability Evaluation of power systems containing significant wind penetration. Case studies on a test system are presented using wind data from Canadian geographic locations.
Roy Billinton - One of the best experts on this subject based on the ideXlab platform.
-
A Test on Probabilistic Reliability Evaluation of the Korea Power System
International Journal of Emerging Electric Power Systems, 2007Co-Authors: Trungtinh Tran, Kwon Jungji, Jaeseok Choi, Donghun Jeon, Jinboo Choo, Roy BillintonAbstract:The importance and conduct of necessary studies on grid Reliability Evaluation have become increasingly important in recent years due to the number of blackout events occurring throughout the world. Additionally, quantitative Evaluation of transmission system Reliability is very important in a competitive electricity environment. The reason is that successful operation of an electric power under a deregulated electricity market depends on transmission system Reliability management. This paper suggests that the important input parameters of a probabilistic Reliability Evaluation tool for the KEPCO-system by sensitivity analysis of high Reliability level operation. Simultaneously, it also presents sensitivity analysis probabilistic Reliability Evaluation of practical KEPCO-system long-term transmission system expansion planning (2006-2010). The tool utilized a Transmission Reliability Evaluation for Large-Scale Systems (TRELSS) which was developed by EPRI and Southern Company Services Inc.
-
Reliability Evaluation of composite electric power systems incorporating FACTS
IEEE CCECE2002. Canadian Conference on Electrical and Computer Engineering. Conference Proceedings (Cat. No.02CH37373), 2002Co-Authors: Roy BillintonAbstract:The utilization of FACTS technologies can have significant positive impacts on power system Reliability performance and the actual benefits obtained can be quantitatively assessed using suitable models and techniques. Considerable effort has been spent in developing techniques for composite power system Reliability Evaluation. These methods are mainly focused on conventional generation and transmission facilities. There is relatively little literature which considers FACTS in Reliability studies, particularly in composite system Reliability Evaluation. A methodology for incorporating FACTS devices in composite system Reliability Evaluation is presented in this paper.
-
Reliability Evaluation of Power Systems
Electronics and Power, 1996Co-Authors: Roy BillintonAbstract:This book is a seque! to Reliability Evaluation of Engineering Systems: Concepts and Techniques, written by the same authors and published by Pitman Books in January 1983.* As a sequel, this book is intended to be considered and read as the second of two volumes rather than as a text that stands on its own. For this reason, readers who are not familiar with basic Reliability modelling and Evaluation should either first read the companion volume or, at least, read the two volumes side by side. Those who are already familiar with the basic concepts and only require an extension of their knowledge into the power system problem area should be able to understand the present text with little or no reference to the earlier work. In order to assist readers, the present book refers frequently to the first volume at relevant points, citing it simply as Engineering Systems. Reliability Evaluation of Power Systems has evolved from our deep interest in education and our long-standing involvement in quantitative Reliability Evaluation and application of probability techniques to power system problems. It could not have been written, however, without the active involvement of many students in our respective research programs. There have been too many to mention individu- ally but most are recorded within the references at the ends of chapters. The preparation of this volume has also been greatly assisted by our involve- ment with the IEEE Subcommittee on the Application of Probability Methods, IEE Committees, the Canadian Electrical Association and other organizations, as well as the many colleagues and other individuals with whom we have been involved. Finally, we would like to record our gratitude to all the typists who helped in the preparation of the manuscript and, above all, to our respective wives, Joyce and Diane, for all their help and encouragement.
-
Monte Carlo approach to substation Reliability Evaluation
IEE Proceedings C Generation Transmission and Distribution, 1993Co-Authors: Roy Billinton, G. LianAbstract:The paper describes a Monte Carlo approach to substation Reliability Evaluation. The results obtained by this method are compared with those obtained using an analytical approach. The simulation procedure for component and substation Evaluation is described in detail. The study results show that the simulation approach gives acceptable Reliability indices when compared with the analytical Evaluation and that the simulation approach permits the assumption of Markov models to be relaxed when substation data are available. The simulation approach is a useful and powerful tool for substation Reliability Evaluation.
-
Reliability Evaluation of engineering systems concepts and techniques
1992Co-Authors: Roy Billinton, Ronald N AllanAbstract:Introduction. Basic Probability Theory. Application of the Binomial Distribution. Network Modelling and Evaluation of Simple Systems. Network Modelling and Evaluation of Complex Systems. Probability Distributions in Reliability Evaluation. System Reliability Evaluation Using Probability Distributions. Monte Carlo Simulation. Epilogue.
Wei Li - One of the best experts on this subject based on the ideXlab platform.
-
Reliability Evaluation of multi state weighted k out of n systems
Reliability Engineering & System Safety, 2008Co-Authors: Wei LiAbstract:The k-out-of-n systems have been extensively studied in recent years. A binary weighted k-out-of-n model has also been reported in the literature. In this paper, we first compare two approaches for Reliability Evaluation of binary weighted k-out-of-n systems. We then provide two models of multi-state weighted k-out-of-n system models. Recursive algorithms are presented for Reliability Evaluation of these new models. The universal generating function approach is also used for Reliability Evaluation of multi-state weighted k-out-of-n systems.
Xiaofu Xiong - One of the best experts on this subject based on the ideXlab platform.
-
generation system Reliability Evaluation incorporating correlations of wind speeds with different distributions
IEEE Transactions on Power Systems, 2013Co-Authors: Wenyuan Li, Xiaofu XiongAbstract:This paper presents a Monte Carlo based generation system Reliability Evaluation method that can accurately model correlations between multiple wind speeds following different probability distributions. The assumption of normal distribution in the traditional correlation matrix method is eliminated. Applications to the Weibull, Burr, lognormal and gamma distributions which are popular for wind speed representation are analyzed in detail. The Reliability Evaluation procedure considering correlations of wind speeds following different distributions is developed. The IEEE-RTS with four additional wind farms whose wind speeds follow different types of distributions is used to demonstrate the application of the presented method in generation system Reliability Evaluation.
