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Condition Monitoring and Assessment of Power Transformers Using Computational Intelligence

Part of the book series: Power Systems ((POWSYS))

Abstract

The electricity supply industry is usually divided into three functional sections, including generation, transmission and distribution. Power transformers, on-load tap changers, circuit breakers, current transformers, station batteries and switch gears are the main devices of a transmission and distribution infrastructure that act together to transfer power from power stations to homes and business customers. These devices are critical assets, and if they were to fail that could cause power outages, personal and environmental hazards and expensive rerouting or purchase of power from other power suppliers. Therefore, these critical assets should be monitored closely and continuously in order to assess their operating conditions and ensure their maximum uptime. Particularly, large oil-immersed power transformers are among the most expensive assets in power transmission and distribution networks. It can raise or lower the voltage or current in an AC circuit, isolate circuits from each other and increase or decrease the apparent value of a capacitor, an inductor or a resistor. Consequently, power transformers enable us to transmit electrical energy over great distance and to distribute it safely to factories and homes. A transformer can fail due to any combination of electrical, mechanical or thermal stresses. Such failures are sometimes catastrophic and almost always include irreversible internal damage. Part of failures may lead to high cost for replacement or repair and an unplanned outage of a power transformer is highly uneconomical. As a result, as major equipment in power systems, its correct functioning is vital to enable efficient and reliable operations of power systems.

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Authors and Affiliations

  1. Department of Electrical Engineering and Electronics, The University of Liverpool, Brownlow Hill, Liverpool, L69 3GJ, UK

    W. H. Tang & Q. H. Wu

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  1. W. H. Tang
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  2. Q. H. Wu
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Correspondence to W. H. Tang .

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© 2011 Springer-Verlag London Limited

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Tang, W.H., Wu, Q.H. (2011). Introduction. In: Condition Monitoring and Assessment of Power Transformers Using Computational Intelligence. Power Systems. Springer, London. https://doi.org/10.1007/978-0-85729-052-6_1

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  • DOI: https://doi.org/10.1007/978-0-85729-052-6_1

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  • Publisher Name: Springer, London

  • Print ISBN: 978-0-85729-051-9

  • Online ISBN: 978-0-85729-052-6

  • eBook Packages: EngineeringEngineering (R0)

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