Macedo, Leonardo H. [UNESP]Franco, John F. [UNESP]Romero, Ruben [UNESP]Ortega-Vazquez, Miguel A.Rider, Marcos J.IEEE2018-11-262018-11-262017-01-012017 Ieee Power & Energy Society Innovative Smart Grid Technologies Conference (isgt). New York: Ieee, 5 p., 2017.http://hdl.handle.net/11449/163600Environmental concerns and the need to decarbonize the supply side of power systems are spurring the integration of renewable energy sources (RES). Consequently, an unprecedented increase of RES, particularly photovoltaic (PV) systems, has been observed in distribution grids. However, PV generation is weather-driven, and therefore its power production peak does not necessarily coincide with the peak demand. Therefore, large amounts of cheap renew able generation are usually spilled. This paper proposes a method for optimal allocation and sizing of energy storage systems (ESSs) to increase hosting capacity of PV generation in distribution networks. Moreover, network reinforcement and capacitor bank allocation are also considered. The problem is modeled using stochastic mixed-integer linear programming in which PV generation and demand arc represented via scenarios. A 20-node test system is used to demonstrate the effectiveness of the proposed approach and to analyze the role of ESSs to improve the hosting capacity of RES.5engTerms Distribution networksenergy storagemixed-integer linear programmingphotovoltaic generationstochastic optimizationTrabalho apresentado em eventoWOS:000417427900051Acesso aberto