Autor(es)

Pourakbari-Kasmaei, Mahdi ; Sanches Mantovani, Jose Roberto ; Rashidinejad, Masoud ; Habibi, Mohammad Reza ; Contreras, Javier ; IEEE

• Tipo de documento: Artigo Científico
• Fonte: 2017 1ST IEEE INTERNATIONAL CONFERENCE ON ENVIRONMENT AND ELECTRICAL ENGINEERING AND 2017 17TH IEEE INDUSTRIAL AND COMMERCIAL POWER SYSTEMS EUROPE (EEEIC / I&CPS EUROPE); v. N/A, p. 6-pg., 2017-01-01.

Resumo

Carbon emission reduction is one of the most challenging issues in our emission-constrained world. However, a reduction may come into reality when enough information is available. Although the emissions are produced on the generation side as a result of fuel combustion, this generation is driven by demand, and consequently, the consumers are the prime responsible for carbon emissions in the electric power sector. On the generation side, providing enough information is relatively easy. It only requires economic-oriented tools such as economic dispatch and optimal power flow (OPF). However, on the demand side, providing consumers such useful information, to show them their role in emission production, requires more complicated tools and procedures. To explain and remedy this shortcoming, in this paper, we allocate the carbon footprint among the consumers as well as the transmission loss via a tracing method. To show the effectiveness and applicability of the proposed approach, two small-scale systems, 5- and IEEE 30-bus, and a very large-scale power system, the Polish 2383-bus system, are conducted. This proposal can be applied to smart demand side management aiming at carbon emission reduction. (AU)

• Processo FAPESP: 14/22828-3 - Desenvolvimentos de modelos de programação não linear inteira mista para solução de problema de fluxo de potência ótimo ativo e reativo para sistemas com geradores multi-combustíveis considerando restrições ambientais
• Beneficiário: Mahdi Pourakbari Kasmaei
• Modalidade de apoio: Bolsas no Brasil - Pós-Doutorado
• Processo FAPESP: 16/14319-7 - Alocação on-line de pegada de carbono (carbon footprint): um modelo integrado para gerenciar a redução de emissão de gases de efeito estufa e a demanda de energia elétrica
• Beneficiário: Mahdi Pourakbari Kasmaei
• Modalidade de apoio: Bolsas no Exterior - Estágio de Pesquisa - Pós-Doutorado