scispace - formally typeset
Proceedings ArticleDOI: 10.1109/PESGM.2012.6344818

Automated substation event analysis using IED data

22 Jul 2012-pp 1-11
Abstract: The installation of Intelligent Electric Devices (IEDs) in the substations has changed the face of protection engineering. These devices not only record a variety of analog and digital values but also communicate the data to the control centre. Thus, the same engineers who were struggling for data earlier with electromechanical relays now have sufficient data to analyze the events taking place in the system from time to time. The IEDs generate operational data, which helps to analyze what went wrong in the system and non-operational data, which indicates why things went wrong in the system. Thus, with each IED sending data at the control centre, a large volume of data gets accumulated which cannot be analyzed manually. Automated systems are required to assist engineers analyze the data received from IEDs and provide quality information to the various user groups. In this paper, an attempt has been made to reduce large amount of data generated by the new generation relay IEDs using rough set theory. The logic has been developed to analyze the concise data available after using rough set technique and communicate the information so extracted to the operator, protection and maintenance departments. These departments make use of the information in running the system in a more effective and efficient manner.

...read more

Topics: Data warehouse (55%)
Citations
  More

Proceedings ArticleDOI: 10.1109/EPEPEMC.2016.7752037
01 Sep 2016-
Abstract: This paper proposes a system for the prediction of events in the smart grid. The system infers a label indicating if an event is going to occur in a future time window, in a specific asset, from data of events generated by grid assets and exogenous variables (e.g. weather data). The system design presented follows a sliding-window classification approach, bag-of-words event representation and makes use of random forests models. The systems performance is evaluated in an experimental case study, backed by real data, with the aim of predicting future interruptions in distribution transformers. Performance results indicate that the system is able to deal with highly imbalanced data and validate its adequacy in dealing with the approached problem, achieving up to 0.75 area under the receiver operating characteristic curve in testing.

...read more

Topics: Smart grid (56%), Data modeling (52%), Grid (52%) ...read more

4 Citations

References
  More

Journal ArticleDOI: 10.1109/69.250073
Abstract: Knowledge-discovery systems face challenging problems from real-world databases, which tend to be dynamic, incomplete, redundant, noisy, sparse, and very large. These problems are addressed and some techniques for handling them are described. A model of an idealized knowledge-discovery system is presented as a reference for studying and designing new systems. This model is used in the comparison of three systems: CoverStory, EXPLORA, and the Knowledge Discovery Workbench. The deficiencies of existing systems relative to the model reveal several open problems for future research. >

...read more

Topics: System of systems (62%), Knowledge-based systems (57%), Knowledge extraction (56%) ...read more

275 Citations


Journal ArticleDOI: 10.1109/6104.924792
Andrew Kusiak1Institutions (1)
Abstract: The growing volume of information poses interesting challenges and calls for tools that discover properties of data. Data mining has emerged as a discipline that contributes tools for data analysis, discovery of new knowledge, and autonomous decisionmaking. In this paper, the basic concepts of rough set theory and other aspects of data mining are introduced. The rough set theory offers a viable approach for extraction of decision rules from data sets. The extracted rules can be used for making predictions in the semiconductor industry and other applications. This contrasts other approaches such as regression analysis and neural networks where a single model is built. One of the goals of data mining is to extract meaningful knowledge. The power, generality, accuracy, and longevity of decision rules can be increased by the application of concepts from systems engineering and evolutionary computation introduced in this paper. A new rule-structuring algorithm is proposed. The concepts presented in the paper are illustrated with examples.

...read more

Topics: Rough set (57%), Decision rule (55%), Set theory (50%)

192 Citations


Journal ArticleDOI: 10.1109/TSMCB.2004.836890
01 Dec 2004-
Abstract: Data mining algorithms are widely used today for the analysis of large corporate and scientific datasets stored in databases and data archives. Industry, science, and commerce fields often need to analyze very large datasets maintained over geographically distributed sites by using the computational power of distributed and parallel systems. The grid can play a significant role in providing an effective computational support for distributed knowledge discovery applications. For the development of data mining applications on grids we designed a system called KNOWLEDGE GRID. This paper describes the KNOWLEDGE GRID framework and presents the toolset provided by the KNOWLEDGE GRID for implementing distributed knowledge discovery. The paper discusses how to design and implement data mining applications by using the KNOWLEDGE GRID tools starting from searching grid resources, composing software and data components, and executing the resulting data mining process on a grid. Some performance results are also discussed.

...read more

Topics: Data grid (66%), Grid computing (66%), Semantic grid (63%) ...read more

143 Citations


Journal ArticleDOI: 10.1109/MPAE.2003.1192023
Abstract: The advent of power industry deregulation has placed greater emphasis on the availability of information, the analysis of this information, and the subsequent decision-making to optimize system operation in a competitive environment. Intelligent electronic devices (IEDs) being implemented in substations contain valuable information, both operational and nonoperational, needed by many user groups within the utility. The challenge facing utilities is determining a standard integration architecture that meets the utility's specific needs, can extract the desired operational and nonoperational information, and deliver this information to the users who have applications to analyze the information. This article provides an overview of substation integration and automation fundamentals and focuses on best practices.

...read more

119 Citations


Journal ArticleDOI: 10.1016/J.INS.2007.06.031
Yan Zhao1, Yiyu Yao1, Feng Luo1Institutions (1)
Abstract: Rough set theory models similarities and difierences of objects based on the notions of indiscernibility and discernibility. With respect to any subset of attributes, one can deflne two pairs of dual relations: the strong indiscernibility and weak discernibility relations, and the weak indiscernibility and strong discernibility relations. The similarities of objects are examined by the indiscernibility relations, and the difierence by the discernibility relations, respectively. Alternatively, one can construct an indiscernibility matrix to represent the family of strong indiscernibility or weak discernibility relations. One also can construct a discernibility matrix to represent the family of strong discernibility or weak indiscernibility relations. The consideration of the matrix-counterpart of relations, and the relation-counterpart of matrices, brings more insights into rough set theory. Based on indiscernibility and discernibility, three difierent types of reducts can be constructed, keeping the indiscernibility, discernibility, and indiscernibility-anddiscernibility relations, respectively. Although the indiscernibility reducts have been intensively studied in the literature, the other two types of reducts are relatively new and require more attention. The existing methods for constructing the indiscernibility reducts also can be applied to construct the other two types of reducts. An empirical experiment for letter recognition is reported for demonstrating the usefulness of the discussed relations and reducts.

...read more

116 Citations


Performance
Metrics
No. of citations received by the Paper in previous years
YearCitations
20161