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Well-being analysis of GSU transformer insulation incorporating the impact on power generation using fuzzy logic
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作者 Alagarsamy KRISHNAVEL Dusmata Kumar MOHANTA M. Jaya Bharata REDDY 《Frontiers in Energy》 SCIE CSCD 2013年第3期288-299,共12页
With the prevailing power scenario, every watt-second of electrical energy has its own merit in satisfying the consumer demand. At the state of such a stringent energy demanding era, failure of a power generation equi... With the prevailing power scenario, every watt-second of electrical energy has its own merit in satisfying the consumer demand. At the state of such a stringent energy demanding era, failure of a power generation equipment compounds the energy constraints which will not only result in a huge loss of generation but also have an impact on capital revenue. The unexpected failure of generator step-up (GSU) transformer is espe- cially a major disturbance in the power system operation and leads to unscheduled outages with power delivery problems. The time lag in bringing back the equipment in service after rectification or replacement may increase the criticality as the process involves mobilization of spares and maintenance professionals. Hot atmosphere existing in the vicinity of thermal power stations running round-the- clock with more than 100% plant load factor (PLF) increases the thermal stress of the electrical insulation which leads to premature failure of windings, bushings, core laminations, etc. The healthy state of the GSU transformer has to be ensured to minimize the loss of power generation. As the predication related to failure of a GSU transformer is associated with some uncertainties, a fuzzy approach is employed in this paper along with actual field data and case studies for the well-being analysis of GSU transformer. 展开更多
关键词 generator step-up (GSU) transformer well- being analysis dissolved gases in oil analysis (DGA) tan delta (TD) sweep frequency response analysis (SFRA) fuzzy inference system (FIS)
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