Non-Technical Loss Identification by Using Data Analytics and Customer Smart Meters

Autor(es)

Raggi, Livia M. R. ^[1] ; Trindade, Fernanda C. L. ^[2] ; Cunha, Vinicius C. ^[2] ; Freitas, Walmir ^[2]

Afiliação do(s) autor(es)

^[1] ANEEL, BR-70830030 Brasilia, DF - Brazil

^[2] Univ Estadual Campinas, Dept Syst & Energy, BR-13083970 Campinas, SP - Brazil

• Tipo de documento: Artigo Científico
• Fonte: IEEE Transactions on Power Delivery; v. 35, n. 6, p. 2700-2710, DEC 2020.
• Citações Web of Science: 0

Resumo

The smart meters installed at the customer premises are one of the main apparatuses promoting the modernization of the distribution systems. These devices collect a huge amount of data, demanding the development of analytic techniques to transform these data into useful information. In addition, by proposing new applications to data supplied by smart meters, more value is added to this equipment, allowing higher return on the associated investments. Utilities can have a business case by increasing their operational efficiency if smart meters are used, for instance, to identify non-technical losses, which represent an important cause of revenue losses. This paper presents a new data analytic technique for detection and location of non-technical losses caused by illegal connections of loads to distribution systems in the presence of smart meters. The data analytic technique relies on bad data analysis, similar to the ones used in state estimation methods, developed specifically for this application. A real 34-bus low voltage system is used to illustrate the main concepts of the proposed algorithm. Systematic tests are also conducted on a real 1682-bus distribution system to evaluate the method performance considering electricity theft caused by medium and low voltage customers. (AU)

• Processo FAPESP: 16/08645-9 - Pesquisas interdisciplinares em redes inteligentes de energia elétrica
• Beneficiário: João Bosco Ribeiro do Val
• Modalidade de apoio: Auxílio à Pesquisa - Temático
• Processo FAPESP: 17/10476-3 - Desenvolvimento de metodologias para integração em sistemas de gestão da distribuição na presença de fontes distribuídas de energia e medidores inteligentes
• Beneficiário: Vinicius Carnelossi da Cunha
• Modalidade de apoio: Bolsas no Brasil - Doutorado