Autor(es)

Ricciardi, Tiago R. ^[1] ; Petrou, Kyriacos ^[2] ; Franco, John F. ^[3] ; Ochoa, Luis F. ^{[4, 2]}

Afiliação do(s) autor(es)

^[1] Univ Estadual Campinas, Dept Syst & Energy, BR-13083852 Campinas, SP - Brazil

^[2] Univ Melbourne, Dept Elect Engn, Melbourne, Vic 3010 - Australia

^[3] Sao Paulo State Univ, Sch Energy Engn, BR-19274000 Rosana - Brazil

^[4] Univ Manchester, Sch Elect & Elect Engn, Manchester M13 9PL, Lancs - England

• Tipo de documento: Artigo Científico
• Fonte: IEEE Transactions on Power Systems; v. 34, n. 1, p. 87-97, JAN 2019.
• Citações Web of Science: 1

Resumo

The growing adoption of residential photovoltaic (PV) systems around the world is presenting distribution network operators (DNOs) with technical challenges, particularly on low voltage (LV) networks. The need to mitigate these issues with simple yet effective measures in countries with high PV penetrations is likely to drive the adoption of limits on the very exports that affect this infrastructure. Defining the most adequate limit, however, requires understanding the tradeoffs between the technical benefits and the effects on PV owners. This paper proposes two methodologies: an optimal power flow (OPF) based technique to define the export limit that solves technical problems with minimal curtailment, and a Monte Carlo based analysis to investigate the spectrum of such tradeoffs considering different PV penetrations and export limits. A real U.K. residential LV network with 180 customers is analyzed using realistic 1-min resolution daily load and PV generation profiles across seasons. Results demonstrate that, for DNOs, the OPF-based approach is effective in determining the most technically adequate export limit. However, for policy makers, the spectrum of tradeoffs provided by the Monte Carlo approach can help defining export limits that reduce curtailment at the expense of partially mitigating technical issues. (AU)

• Processo FAPESP: 17/02831-8 - Aplicação de métodos de otimização no planejamento do sistema de distribuição de energia elétrica
• Beneficiário: John Fredy Franco Baquero
• Modalidade de apoio: Auxílio à Pesquisa - Regular