The constant increase in the demand for electric energy, as well as the necessity to reduce the CO2 emissions into the atmosphere, imposes new challenges for energy management systems. In this regard to promote a sustainable energy generation, through the directives from Green Politics, countries provide incentives for renewable energy generation, which resulted in a rapid increase in the installation of PV plants. Due to the volatile nature of the renewables and to manage the energy, it is becoming fundamental to install BESS (Battery Energy Storage System) both for residential and industrial energy customers. This paper presents a new way to use SCADA (Supervisory Control and Data Acquisition) system, which allows direct communication between the monitored system and a data server where the data is analysed for optimal design of the system. A mathematical model to optimize the size of the BESS, which minimises the energy exchange with the utility grid is introduced. A case study conducted on residential customer demonstrates that the proposed approach is a valuable tool for BESS design.
SCADA system for optimization of energy exchange with the BESS in a residential case
Roberto Faranda;Alessandro Bosisio;
2019-01-01
Abstract
The constant increase in the demand for electric energy, as well as the necessity to reduce the CO2 emissions into the atmosphere, imposes new challenges for energy management systems. In this regard to promote a sustainable energy generation, through the directives from Green Politics, countries provide incentives for renewable energy generation, which resulted in a rapid increase in the installation of PV plants. Due to the volatile nature of the renewables and to manage the energy, it is becoming fundamental to install BESS (Battery Energy Storage System) both for residential and industrial energy customers. This paper presents a new way to use SCADA (Supervisory Control and Data Acquisition) system, which allows direct communication between the monitored system and a data server where the data is analysed for optimal design of the system. A mathematical model to optimize the size of the BESS, which minimises the energy exchange with the utility grid is introduced. A case study conducted on residential customer demonstrates that the proposed approach is a valuable tool for BESS design.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
