This work is concerned with describing the development and subsequent field experience with an adaptive autoreclose technique, based on artificial neural networks (ANNs), as applied to circuit breaker control on EHV t...
This work is concerned with describing the development and subsequent field experience with an adaptive autoreclose technique, based on artificial neural networks (ANNs), as applied to circuit breaker control on EHV transmission lines. This technique, developed at the University of Bath in conjunction with a major manufacturer of protection and control equipment in the UK, can recognise when it is 'safe to reclose' and when it is 'unsafe to reclose' transmission line circuit breakers. This is a radical transgression from the present philosophy whereby conventional autoreclosing relays reclose to restore the power system, following initial circuit breaker opening after a fault. With this advanced adaptive technique, the primary requirement remains to protect the power system by reducing damaging shocks and voltage dips with a concomitant concern to maintain the continuity of supply.
The proceedings contains 5 papers on AI applications in power systems. Topics discussed include expertsystems, decision support systems, electric power system protection, voltage control, neural networks, genetic alg...
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The proceedings contains 5 papers on AI applications in power systems. Topics discussed include expertsystems, decision support systems, electric power system protection, voltage control, neural networks, genetic algorithms, planning, systems analysis and mathematical models.
This paper discusses an expert system based decision support system (DSS) for protection system performance analysis. The DSS interprets data from the supervisory, control and data acquisition (SCADA) system, plus the...
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This paper discusses an expert system based decision support system (DSS) for protection system performance analysis. The DSS interprets data from the supervisory, control and data acquisition (SCADA) system, plus the data captured by fault recorders and modern relays with inbuilt fault recording capabilities. Within this DSS both knowledge based and model based reasoning are utilised. Given the role of protection engineers within a utility, this DSS aims to provide them with information extracted from the voluminous data available during power system disturbances.
Power system control entails maintaining a continuous balance between electrical generation and a varying load demand, while system frequency, voltage levels and network security are preserved. However, the system can...
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Power system control entails maintaining a continuous balance between electrical generation and a varying load demand, while system frequency, voltage levels and network security are preserved. However, the system can be highly complex and nonlinear, and fixed parameter controllers be unable to provide the most effective control. Adaptive control can offer a solution to such problems. It requires supervision strategies, or the addition of jacketing software to improve robustness. The protection scheme is essentially a logical network, composed of a considerable amount of heuristics and rules of thumb. Subsequent testing, evaluation and debugging can be cumbersome. A more elegant approach separates the jacketing software from the identification and control algorithms, leaving an expert system to perform all supervisory functions. This approach is adopted. CLIPS (C Language Integrated Production System) was selected as an example of a real-time expert shell. It is entirely written in the C. This simplifies integration with conventional software, and as the entire source code is provided, programmers can write their own routines to be called by CLIPS, or CLIPS itself can be embedded as a routine in another program.
The development of application systems for fault diagnosis has attracted worldwide interest in many different research areas. In particular, advanced techniques for finding faults through the use of explicit structura...
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The development of application systems for fault diagnosis has attracted worldwide interest in many different research areas. In particular, advanced techniques for finding faults through the use of explicit structural and/or behavioural models of the physical system to be diagnosed have been developed both in the area of control engineering and in the field of artificial intelligence. Although many approaches to creating model-based diagnostic systems (MBDS) exist, as yet, no clear methodology is available for the selection of an appropriate approach to solve individual given diagnostic problems. We have therefore been developing a specification methodology that essentially comprises a taxonomy of diagnostic tasks, a taxonomy of model-based systems, and a set of guidelines that provides a mapping from the former to the latter, Our aim is to provide a method by which existing MBDS tools and techniques may be combined within a generic architecture in a principled manner to produce effective diagnostic systems for given applications. The structure of the methodology has been derived in part from the top level architectural design of ARTIST, a generic model-based diagnostic toolkit that combines a wide variety of model based diagnostic (MBD) tools. This architecture is based upon the three main types of knowledge that are necessary for the construction of model based diagnostic systems.
Microprocessor technology is increasingly being applied to substation control and protectionsystems. These offer several advantages over conventional systems including increased functionality. Existing systems are de...
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Microprocessor technology is increasingly being applied to substation control and protectionsystems. These offer several advantages over conventional systems including increased functionality. Existing systems are described together with the enhanced functionality which result in expertsystems for substation applications.< >
This paper describes the requirements for expertsystems within the power system control rooms of the Regional Electricity Companies (RECs). It is intended not as a technical paper but a paper that explores the busine...
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This paper describes the requirements for expertsystems within the power system control rooms of the Regional Electricity Companies (RECs). It is intended not as a technical paper but a paper that explores the business reasons and infrastructure requirements for the successful implementation of expertsystems within the control room.< >
This paper aims to discuss two aspects of expertsystems that can be applied to disturbance recorders. The first is to apply expertsystems to reduce the volume of data to be retrieved from fault recorders and hence r...
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This paper aims to discuss two aspects of expertsystems that can be applied to disturbance recorders. The first is to apply expertsystems to reduce the volume of data to be retrieved from fault recorders and hence reduce the work load on the protection engineer who has to analyze these records. The second aspect is to apply expertsystems to the analysis of these records to produce routine fault reports and to use the data from these records to help determine when circuit breakers require maintenance.< >
expertsystems continue to be researched extensively for applications within the electricity supply industry. Much of this research has concentrated on alarm analysis and fault diagnosis for control engineers. The wor...
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expertsystems continue to be researched extensively for applications within the electricity supply industry. Much of this research has concentrated on alarm analysis and fault diagnosis for control engineers. The work reported in this paper offers equivalent decision support for protection engineers. Many existing decision support expertsystems use rule based techniques. Although rule based expertsystems are robust, they have their limitations. This paper introduces a hybrid expert system, combining rule based and model based reasoning, offering improved accuracy of diagnosis, while providing extended hypothesis explanation and verification.< >
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