Pre-dispatch of Load in Thermoelectric Power Plants Considering Maintenance Management using Fuzzy Logic
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Tipo do ITEM
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Artigo Ciêntifico
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Título do Artigo
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Pre-dispatch of Load in Thermoelectric Power Plants Considering Maintenance Management using Fuzzy Logic
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Descrição
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ABSTRACT
This study presents a new method for load pre-dispatch considering the technical conditions of engines in thermoelectric power plants by combining several maintenance and diagnostic techniques and using computational intelligence. A diagnosis of the technical conditions of the engines is performed using a lubricant analysis, vibration analysis, and thermography. With these data from a statistical analysis, it is possible to predict when an engine will fail and to consider this phenomenon in the load pre-dispatch. To increase the engine reliability and power supply, a Maintenance Management Program (MMP) is developed using Management tools, applying only 4 Total Productive Maintenance (TPM) pillars and combining them with predictive maintenance and diagnostics, thus reducing failures in plant equipment. Some results achieved after this implementation are as follows: a reduction in the annual cost of maintenance, a reduction in the corrective maintenance, an increase in the Mean Time between Failures (MTBF) and a decrease in the Mean Time to Repair (MTTR) in all areas. In addition, the pre-dispatch ensures that the demanded power is met with a high degree of reliability and quality and at minimal cost.
INDEX TERMS Economic Load Dispatch, Management Maintenance Program, Electric Generators, TPM Power Plants and Fuzzy Logic.
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Abstract
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ABSTRACT
This study presents a new method for load pre-dispatch considering the technical conditions of engines in thermoelectric power plants by combining several maintenance and diagnostic techniques and using computational intelligence. A diagnosis of the technical conditions of the engines is performed using a lubricant analysis, vibration analysis, and thermography. With these data from a statistical analysis, it is possible to predict when an engine will fail and to consider this phenomenon in the load pre-dispatch. To increase the engine reliability and power supply, a Maintenance Management Program (MMP) is developed using Management tools, applying only 4 Total Productive Maintenance (TPM) pillars and combining them with predictive maintenance and diagnostics, thus reducing failures in plant equipment. Some results achieved after this implementation are as follows: a reduction in the annual cost of maintenance, a reduction in the corrective maintenance, an increase in the Mean Time between Failures (MTBF) and a decrease in the Mean Time to Repair (MTTR) in all areas. In addition, the pre-dispatch ensures that the demanded power is met with a high degree of reliability and quality and at minimal cost.
INDEX TERMS Economic Load Dispatch, Management Maintenance Program, Electric Generators, TPM Power Plants and Fuzzy Logic.
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Língua do arquivo
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inglês
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Data da Publicação
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Ano Desconhecido
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Autores
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Milton Fonseca Junior1
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Ubiratan Holanda Bezerra2
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Jorge de Almeida Brito Junior3
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(Member
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IEEE)
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Jandecy Cabral Leite3
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(Member
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IEEE)
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and Manoel Henrique Reis Nascimento3
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Local
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UFPA - 2017
