I. Watt

University of Strathclyde, Glasgow, SCT, United Kingdom

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Publications (3)5.84 Total impact

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    ABSTRACT: This paper presents a system, PSDiagnosis, designed to automate the analysis of Supervisory, Control and Data Acquisition (SCADA) data for the assessment of power system protection performance. The model-based system exploits the theory of diagnosis through use of the General Diagnostic Engine (GDE). Models of protection devices combined with the GDE provide the ability to diagnose the maloperation of protection equipment: including multiple faults, missing alarms and new or previously unknown faults. The base requirements were determined in conjunction with a transmission system operator within the U.K. with a major task identified in reducing software maintenance while maintaining an accurate diagnostic result. The novel approaches taken in this system include the provision of dynamically configurable protection device models for reuse on a multitude of different network connections and the modification of the GDE to identify the occurrence of missing alarms. The approach taken ensures that the system is easy to update as the network, equipment and data formats evolve. This paper discusses the requirements, development and application of PSDiagnosis to the transmission network and the experience and results gained from the implementation of an online prototype.
    IEEE Transactions on Power Systems 01/2013; 28(3):2584-2591. · 2.92 Impact Factor
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    ABSTRACT: This paper reports on the use of multi-agent system technology to automate the management and analysis of SCADA and digital fault recorder (DFR) data. The multi-agent system, entitled Protection Engineering Diagnostic Agents (PEDA), integrates legacy intelligent systems that analyze SCADA and DFR data to provide data management and online diagnostic information to protection engineers. Since November 2004, PEDA agents have been intelligently interpreting and managing data online at a transmission system operator in the U.K. As the results presented in this paper demonstrate, PEDA supports protection engineers by providing access to interpreted power systems data via the corporate intranet within minutes of the data being received. In this paper, the authors discuss their experience of developing a multi-agent system that is robust enough for continual online use within the power industry. The use of existing agent development toolsets and standards is also discussed.
    IEEE Transactions on Power Systems 06/2006; · 2.92 Impact Factor
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    ABSTRACT: Earlier research [1] by the Institute of Energy and Environment and SP PowerSystems demonstrated that multi-agent systems technology could be used to integrate a number of software tools to automate the analysis and management of power systems monitoring data. This paper focuses on issues raised during the migration from an off-line prototype to an on-line multi-agent system for use at SP PowerSystems. The authors believe that the system described in this paper is one of the first of its type to be deployed in the electrical power industry for continual on-line use by operational engineers.
    12/2004: pages 151-164;