Metodologia de balanço de energia elétrica para detectar perdas não técnicas em sistemas de distribuição

• Autor(a) principal: Becker, Eduarda Coelho
• Data de Publicação: 2023
• Idioma: por
• Título da fonte: Manancial - Repositório Digital da UFSM
• dARK ID: ark:/26339/001300000mrjv
• Texto Completo: http://repositorio.ufsm.br/handle/1/29930
• topic: Balanço de energia; perdas elétricas; python; openDSS; Energy balance; electrical losses; python; openDSS; CNPQ::ENGENHARIAS::ENGENHARIA ELETRICA

The present work was produced concurrently with the extension project entitled "System for Detecting Non-Technical Losses in Irrigation Areas Using Artificial Intelligence Techniques" and aims to determine non-technical losses of electrical energy in distribution systems using the energy balance methodology. Energy losses are quantified by type, which can be technical or non-technical (commercial) losses, and both together represent the overall losses of the system. Overall losses can be calculated based on the difference between the energy supplied by the utility company and the energy demanded by consumer units (UCs). Technical losses are inherent in the processes of generation, transmission, and energy conversion throughout the system, with Joule's Effect being one of the most well-known examples. On the other hand, non-technical losses refer to energy that was consumed but not billed by the supplying company. Therefore, to estimate the value of non-technical losses in the distribution system, based on the energy balance, real consumption and supply data, as well as information on the electrical networks provided by the CPFL Energia Group, were used. The Python language was used to automate a tool capable of performing the energy balance using the input data provided by the utility company. The employed methodology provides as output data the overall, technical, and non-technical losses of the analyzed distribution systems and identifies feeders with possible irregular consumer units. Once regions or feeders prone to non-conformities are identified, it facilitates the energy company in taking actions to minimize non-technical losses in the distribution electrical networks.