作者: Morris Brenna , Alessandro Corradi , Federica Foiadelli , Michela Longo , Wahiba Yaici
DOI: 10.1007/S40095-019-00330-3
关键词:
摘要: In response to climate change concerns, most of the industrialised countries have committed in recent years increase their share Renewable Energy Sources reduce Greenhouse Gas emissions. Therefore, rapid deployment small-scale photovoltaic (PV) systems, mainly residential applications, is starting represent a considerable portion available electrical power generation and, for this reason, stochastic and intermittent nature these systems are affecting operation centralised (CG) resources. Network operators constantly changing approach both short-term long-term forecasting activities due higher complexity scenario which more stakeholders active roles network. An increasing number customers must be treated as prosumers no longer only consumers. context, storage technologies considered suitable solution. These can necessary order solve fill problems renewable distributed sources introducing management network infrastructure. The aim work was create model evaluate impact considering PV Australia along with simulate Battery Storage Systems (BESSs) Electric Vehicles future contributions using MATLAB. methodology used develop models based on statistical assumptions concerning details about installed current technologies. It has been shown that all scenarios analysed, adoption rooftop panels CG incredibly than uptake energy systems. Hence, influence demand will driven by behaviour Only hypothetical installations BESSs assume comparable levels it possible better manage