A Compressive Sensing Approach for Fault Location in Distribution Grid Branches - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook A Compressive Sensing Approach for Fault Location in Distribution Grid Branches write by Daniele Carta. This book was released on 2019. A Compressive Sensing Approach for Fault Location in Distribution Grid Branches available in PDF, EPUB and Kindle.
Fault Location on Power Networks
Fault Location on Power Networks - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Fault Location on Power Networks write by Murari Mohan Saha. This book was released on 2009-11-25. Fault Location on Power Networks available in PDF, EPUB and Kindle. Fault Location on Power Lines enables readers to pinpoint the location of a fault on power lines following a disturbance. The nine chapters are organised according to the design of different locators. The authors do not simply refer the reader to manufacturers’ documentation, but instead have compiled detailed information to allow for in-depth comparison. Fault Location on Power Lines describes basic algorithms used in fault locators, focusing on fault location on overhead transmission lines, but also covering fault location in distribution networks. An application of artificial intelligence in this field is also presented, to help the reader to understand all aspects of fault location on overhead lines, including both the design and application standpoints. Professional engineers, researchers, and postgraduate and undergraduate students will find Fault Location on Power Lines a valuable resource, which enables them to reproduce complete algorithms of digital fault locators in their basic forms.
Identification of Exact Fault Location on a Distribution Network Using Combined Fault Location and Heuristic-based Sensor Placement Algorithm
Identification of Exact Fault Location on a Distribution Network Using Combined Fault Location and Heuristic-based Sensor Placement Algorithm - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Identification of Exact Fault Location on a Distribution Network Using Combined Fault Location and Heuristic-based Sensor Placement Algorithm write by Namit Sankhyan. This book was released on 2021. Identification of Exact Fault Location on a Distribution Network Using Combined Fault Location and Heuristic-based Sensor Placement Algorithm available in PDF, EPUB and Kindle. Fault occurrence on power system lines is an inevitable phenomenon. Therefore, mitigation of the resulting consequences of power interruption from such events becomes a priority. The process involved in remedying the faulted element on the distribution network consists of first, identifying the occurrence of faults on the system and, secondly, but more importantly, identifying the location of the faulted element swiftly and accurately. The impedance-based fault location (IBFL) techniques have been traditionally employed to estimate the location of the fault on a distribution system. These methods use system parameters to determine the distance to the fault on the network. Although straightforward when applied to simple circuits, these methods have an acceptable margin of error associated with them for approximating the exact location of the fault on the system. Furthermore, the accuracy of IBFL methods in approximating the exact location of the fault significantly reduces when implemented on an intricate distribution system. The reason behind this complication can be attributed to the complexity of the distribution network that arises due to the multiple laterals on the system. The IBFL methods result in the distance estimate of the fault from one end of the system instead of determining the exact location of the fault on the network. Therefore, the interpretation of the results to truly identify the fault's location is not straightforward because of the multiple laterals. One way to compensate for this limitation is to place additional sensors on the distribution system that could help interpret the distance estimate to identify the exact location of the fault. Hence, to overcome the limitation, a combined algorithm is proposed in this thesis. The proposed combined algorithm integrates the traditional impedance-based fault location methods like the Takagi method with an intelligent sensor network across the distribution feeder determined by the proposed sensor placement algorithm. When implemented with the Takagi method, the heuristic-based optimal sensor placement algorithm can elevate the accuracy of determining the exact fault location on the distribution network. The heuristic-based sensor placement algorithm is developed to determine the optimal location to place additional sensors on the system to achieve more accurate fault location. The results from the sensor placement algorithm are then used along with the Takagi method to find the exact fault location on the distribution network with more accuracy. The proposed sensor placement algorithm is developed using a test 15-bus distribution system and later implemented on a real-world distribution system to verify its application in better identifying the exact fault location established on the results from the IBFL method
Fault Analysis and Model-based Approach for Fault Location in Modern Grids
Fault Analysis and Model-based Approach for Fault Location in Modern Grids - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Fault Analysis and Model-based Approach for Fault Location in Modern Grids write by Sundaravaradan Navalpakkam Ananthan. This book was released on 2020. Fault Analysis and Model-based Approach for Fault Location in Modern Grids available in PDF, EPUB and Kindle. Short-circuit faults are inevitable on transmission and distribution networks. Dispatching the maintenance crew directly to the location of the fault saves a significant amount of resources in the restoration process, which has motivated the development of several fault location approaches. Impedance-based fault location (IBFL) approaches are the most commonly used fault location methods in digital relays. However, each IBFL approach is designed specific to a line or network configuration and is not universal. Furthermore, they suffer from several sources of errors and do not fully utilize valuable information about the power system surrounding the faulted line that is available. This dissertation presents a novel fault location approach that utilizes a system model to overcome these limitations. The concept of the proposed model-based fault location (MBFL) approach is to estimate the fault location by identifying the closest match among various fault scenarios simulated using the system model and the actual fault scenario. A key benefit of the proposed approach is identifying the location of a fault on a neighboring line using limited measurements, as few as only the through fault current flowing in a neighboring line. Application methods for implementing MBFL efficiently and effectively have been developed, with each technique having its unique benefits. The advantages of the proposed MFBL approach and the practical applicability of each implementation technique have been demonstrated using simulations on complex network configurations as well as field data of fault events. This work also contributes towards tools to supplement fault analysis applications in ac and dc systems. An algorithm to select an appropriate time instant in a fault record to extract phasors for post-fault event report analysis applications was developed. In low-voltage dc distribution systems, fault signatures of series-arc faults were identified to aid arc detection. Overall, the research work presented in this dissertation makes substantive contributions to fault location and fault analysis in transmission and distribution systems
Computational Social Science
Computational Social Science - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Computational Social Science write by Wei Luo. This book was released on 2021-02-18. Computational Social Science available in PDF, EPUB and Kindle. Selected papers from the International Conference on New Computational Social Science, focusing on the following five aspects: Big data acquisition and analysis, Integration of qualitative research and quantitative research, Sociological Internet experiment research, Application of ABM simulation method in Sociology Research, Research and development of new social computing tools. With the rapid development of information technology, especially sweeping progress in the Internet of things, cloud computing, social networks, social media and big data, social computing, as a data-intensive science, is an emerging field that leverages the capacity to collect and analyze data with an unprecedented breadth, depth and scale. It represents a new computing paradigm and an interdisciplinary field of research and application. A broad comprehension of major topics involved in social computing is important for both scholars and practitioners. This proceedings presents and discusses key concepts and analyzes the state-of-the-art of the field. The conference not only gave insights on social computing, but also affords conduit for future research in the field. Social computing has two distinct trends: One is on the social science issues, such as computational social science, computational sociology, social network analysis, etc; The other is on the use of computational techniques. Finally some new challenges ahead are summarized, including interdisciplinary cooperation and training, big data sharing for scientific data mashups, and privacy protect.
