PV Hosting Capacity Analysis and Enhancement Using High Resolution Stochastic Modeling
AbstractReduction of CO2 emissions is a main target in the future smart grid. This goal is boosting the installation of renewable energy resources (RES), as well as a major consumer engagement that seeks for a more efficient utilization of these resources toward the figure of ‘prosumers’. Nevertheless, these resources present an intermittent nature, which requires the presence of an energy storage system and an energy management system (EMS) to ensure an uninterrupted power supply. Moreover, network-related issues might arise due to the increasing power of renewable resources installed in the grid, the storage systems also being capable of contributing to the network stability. However, to assess these future scenarios and test the control strategies, a simulation system is needed. The aim of this paper is to analyze the interaction between residential consumers with high penetration of PV generation and distributed storage and the grid by means of a high temporal resolution simulation scenario based on a stochastic residential load model and PV production records. Results of the model are presented for different PV power rates and storage capacities, as well as a two-level charging strategy as a mechanism for increasing the hosting capacity (HC) of the network. View Full-Text
Share & Cite This Article
Palacios-Garcia, E.J.; Moreno-Muñoz, A.; Santiago, I.; Moreno-Garcia, I.M.; Milanés-Montero, M.I. PV Hosting Capacity Analysis and Enhancement Using High Resolution Stochastic Modeling. Energies 2017, 10, 1488.
Palacios-Garcia EJ, Moreno-Muñoz A, Santiago I, Moreno-Garcia IM, Milanés-Montero MI. PV Hosting Capacity Analysis and Enhancement Using High Resolution Stochastic Modeling. Energies. 2017; 10(10):1488.Chicago/Turabian Style
Palacios-Garcia, Emilio J.; Moreno-Muñoz, Antonio; Santiago, Isabel; Moreno-Garcia, Isabel M.; Milanés-Montero, María I. 2017. "PV Hosting Capacity Analysis and Enhancement Using High Resolution Stochastic Modeling." Energies 10, no. 10: 1488.
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.