The basic principle of protective relaying of power systems has not changed for more than half a century. Almost all power system protective relaying algorithms are dominated by integral transforms such as the Fourier transform and the wavelet transform. The integral transform can only provide an average attribute of the s- nals or their components. The accuracy of the attribute extraction is signi?cantly sacri?ced by the assumption of periodicity of the signals if the integral transform is appliedto transientsignals. Itis also wellknownthatthe signalsare liable to bec- taminatedbynoiseintheformofexponentiallydecayingDCoffsets,highfrequency transients, harmonic distortion, errors caused by non-linearityin the response of the sensors, and unwanted behaviour of power systems. This contamination is often provoked by fault conditions, just at the time when the protection relay is required to respond and trip the circuit breaker to limit damage caused by the fault. On the other hand, as we know, in most protection relays, complex computation has to be undertakenwithin a sampling interval, no matter how small the interval, to calculate the coef?cients relevantto the attributes of the signals byusing the integral transform based on a window of samples, and to calculate the relaying algorithms, which are derivedto representthe relationship betweenthese coef? cientsandpower system faults. If fast transients and high-order harmonics are to be addressed, - tra computing power and facilities are required. Therefore, it can be seen that the current power system relaying algorithms suffer from many problems including - curacy, fast responses, noise, disturbance rejections and reliability.

In recent years, rapid changes and improvements have been witnessed in the field of transformer condition monitoring and assessment, especially with the advances in computational intelligence techniques. Condition Monitoring and Assessment of Power Transformers Using Computational Intelligence applies a broad range of computational intelligence techniques to deal with practical transformer operation problems. The approaches introduced are presented in a concise and flowing manner, tackling complex transformer modelling problems and uncertainties occurring in transformer fault diagnosis. Condition Monitoring and Assessment of Power Transformers Using Computational Intelligence covers both the fundamental theories and the most up-to-date research in this rapidly changing field. Many examples have been included that use real-world measurements and realistic operating scenarios of power transformers to fully illustrate the use of computational intelligence techniques for a variety of transformer modelling and fault diagnosis problems. Condition Monitoring and Assessment of Power Transformers Using Computational Intelligence is a useful book for professional engineers and postgraduate students. It also provides a firm foundation for advanced undergraduate students in power engineering.

A mobile agent is a software program with the capability to suspend its execution and resume it on another computer. Agents are a relatively recent development in computer science, which have become a popular and useful methodology for the modelling and implementation of distributed systems, particularly those consisting of a number of largely autonomous components. The extensive use of multi-agent systems in various areas including information management, industrial control and manufacturing systems, suggests that the multi-agent systems methodology may also be appropriate for the design of power system automation systems.

IP Network-based Multi-agent Systems for Industrial Automation: Information Management, Condition Monitoring and Control of Power Systems is the first book to present an introduction to the use of the Internet protocol suite and multi-agent systems for the information management, online monitoring and control of distributed power system substations. It proposes an open architecture for information management and control, based on the concepts of multi-agent systems and mobile agents. In this book, mobile agents are applied to the retrieval and analysis of substation data, and to remote operator intervention. This book also describes a prototype implementation of the architecture, in the form of a substation information management system, which has been demonstrated and evaluated using a substation simulator. The architecture is also evaluated theoretically with respect to its performance, modifiability, functionality and reliability.

As mobile agent technologies are in the early stages the real applications of these technologies are rare; IPNetwork-based Multi-agent Systems for Industrial Automation: Information Management, Condition Monitoring and Control of Power Systems will be an excellent reference for postgraduates, researchers and academics in engineering and computer science, as well as engineers in system automation and managers in distributed industrial systems.

In recent years, rapid changes and improvements have been witnessed in the field of transformer condition monitoring and assessment, especially with the advances in computational intelligence techniques. Condition Monitoring and Assessment of Power Transformers Using Computational Intelligence applies a broad range of computational intelligence techniques to deal with practical transformer operation problems. The approaches introduced are presented in a concise and flowing manner, tackling complex transformer modelling problems and uncertainties occurring in transformer fault diagnosis. Condition Monitoring and Assessment of Power Transformers Using Computational Intelligence covers both the fundamental theories and the most up-to-date research in this rapidly changing field. Many examples have been included that use real-world measurements and realistic operating scenarios of power transformers to fully illustrate the use of computational intelligence techniques for a variety of transformer modelling and fault diagnosis problems. Condition Monitoring and Assessment of Power Transformers Using Computational Intelligence is a useful book for professional engineers and postgraduate students. It also provides a firm foundation for advanced undergraduate students in power engineering.

This book details the use of the Internet protocol suite and multi-agent systems for the information management, online monitoring, and control of distributed power system substations. It proposes an open architecture for information management and control, based on the concepts of multi-agent systems and mobile agents. Mobile agents are applied to the retrieval and analysis of substation data and to remote operator intervention.

The basic principle of protective relaying of power systems has not changed for more than half a century. Almost all power system protective relaying algorithms are dominated by integral transforms such as the Fourier transform and the wavelet transform. The integral transform can only provide an average attribute of the s- nals or their components. The accuracy of the attribute extraction is signi?cantly sacri?ced by the assumption of periodicity of the signals if the integral transform is appliedto transientsignals. Itis also wellknownthatthe signalsare liable to bec- taminatedbynoiseintheformofexponentiallydecayingDCoffsets,highfrequency transients, harmonic distortion, errors caused by non-linearityin the response of the sensors, and unwanted behaviour of power systems. This contamination is often provoked by fault conditions, just at the time when the protection relay is required to respond and trip the circuit breaker to limit damage caused by the fault. On the other hand, as we know, in most protection relays, complex computation has to be undertakenwithin a sampling interval, no matter how small the interval, to calculate the coef?cients relevantto the attributes of the signals byusing the integral transform based on a window of samples, and to calculate the relaying algorithms, which are derivedto representthe relationship betweenthese coef? cientsandpower system faults. If fast transients and high-order harmonics are to be addressed, - tra computing power and facilities are required. Therefore, it can be seen that the current power system relaying algorithms suffer from many problems including - curacy, fast responses, noise, disturbance rejections and reliability.