Enquadramento tarifário de energia elétrica em agroindústria utilizando teoria Fuzzy
Data
2004-11-05
Autores
Manzine, Luiz Gonzaga [UNESP]
Título da Revista
ISSN da Revista
Título de Volume
Editor
Universidade Estadual Paulista (Unesp)
Resumo
O presente trabalho tem como objetivo utilizar a Teoria Fuzzy para obtenção de uma metodologia alternativa na escolha da estrutura tarifária de energia elétrica mais conveniente para a agroindústria e, em conseqüência, colaborar, reduzindo também os custos da oferta de energia elétrica para o país. A metodologia citada utiliza como variáveis principais o índice de utilização de energia elétrica e o fator de carga do horário de ponta. Estes dois parâmetros elétricos, juntamente com o fator de carga do horário fora de ponta, fornecem o enquadramento tarifário que mais se ajusta a uma determinada UC. Uma aplicação da metodologia estudada é apresentada num estudo de caso, envolvendo resultados obtidos com a migração tarifária de uma UC e ainda uma abordagem comparando os preços médios da energia elétrica para um consumidor em pleno funcionamento e para um projeto de planta elétrica. O Modelo Fuzzy alternativo construído teve desempenho comparável ao modelo, usando as fórmulas de preço médio de energia elétrica para o enquadramento tarifário de uma UC, fato confirmado no estudo de caso levado a efeito neste trabalho. Relativamente ao estudo de caso, chegou-se à conclusão afirmativa para a migração tarifária da ETC para a MTHSV, com diminuição no valor da demanda contratada. As análises feitas com o GMG, instalado na UC, mostraram ganho financeiro ao se gerar energia elétrica na atual estrutura e organização da linha de produção da UC, sendo desaconselhável sob o ponto de vista financeiro, se o GMG tiver de ser adquirido. Quanto ao controle das demandas de potências solicitadas, estudos mostraram que é necessário, não sendo, porém viável levando-se em conta o aspecto estritamente financeiro com um controlador de demanda nos moldes propostos por uma empresa especializada, consultada com esta finalidade.
The present work aims to use Fuzzy Theory to obtain an alternative methodology in choosing the most convenient tariff structure of electric energy for agroindustry and as consequence to cooperate for its rational use and also reduce the costs in offering electric energy for the country. The methodology uses as main variables the index of electric energy usage and the load factor at peak hours. These two electric parameters along with the load factor out of peak hours make up the tariff adjustment which best applies to a determined consuming unit. One usage of the studied methodology is shown in a case study involving obtained results from tariff migration of one consuming unit. It is also presented an approach comparing average tariff of electric energy for consumers at full work as well as for an electric plant project. The built alternative Fuzzy Model had a performance comparable to the main model using formulas of electric energy average tariff for tariff adjustment of one consuming unit. Such procedure was confirmed in the case study carried out in this work. Concerning the case study there was a positive conclusion for tariff migration of CCT to GSTTM with a decrease on the value of the contracted demand. Analysis carried out with GMG, which was installed at consuming unit, showed a financial profit when generating electric energy on the current structure and organization of production line at consuming unit thus being unadvisable under financial aspects if GMC is to be purchased. Researches show that it is necessary the control of required energy demand. However it is not viable considering only the financial aspects with a demand controller under the proposed models for a specialized company which was consulted for such aim.
The present work aims to use Fuzzy Theory to obtain an alternative methodology in choosing the most convenient tariff structure of electric energy for agroindustry and as consequence to cooperate for its rational use and also reduce the costs in offering electric energy for the country. The methodology uses as main variables the index of electric energy usage and the load factor at peak hours. These two electric parameters along with the load factor out of peak hours make up the tariff adjustment which best applies to a determined consuming unit. One usage of the studied methodology is shown in a case study involving obtained results from tariff migration of one consuming unit. It is also presented an approach comparing average tariff of electric energy for consumers at full work as well as for an electric plant project. The built alternative Fuzzy Model had a performance comparable to the main model using formulas of electric energy average tariff for tariff adjustment of one consuming unit. Such procedure was confirmed in the case study carried out in this work. Concerning the case study there was a positive conclusion for tariff migration of CCT to GSTTM with a decrease on the value of the contracted demand. Analysis carried out with GMG, which was installed at consuming unit, showed a financial profit when generating electric energy on the current structure and organization of production line at consuming unit thus being unadvisable under financial aspects if GMC is to be purchased. Researches show that it is necessary the control of required energy demand. However it is not viable considering only the financial aspects with a demand controller under the proposed models for a specialized company which was consulted for such aim.
Descrição
Palavras-chave
Agroindústria - Consumo de energia, Lógica difusa, Energia elétrica, Racionalização, Teoria Fuzzy, Fuzzy Theory, Season custom tariff, Rationalization electric energy
Como citar
MANZINE, Luiz Gonzaga. Enquadramento tarifário de energia elétrica em agroindústria utilizando teoria Fuzzy. 2004. xiii, 102 f. Tese (doutorado) - Universidade Estadual Paulista, Faculdade de Ciências Agronômicas, 2004.