The authors propose a control architecture aimed at optimizing energy resources for residential prosumers in a demand response framework. The control of resources is performed in two stages. The global control functions, based on the solution of a predictive optimal control problem are ensured by a cloud-based computation platform whereas a closed-loop local controller is responsible for the management of field components and actuators. The methodology is developed for managing residential micro/nano grids comprising PV generation, battery storage and interruptible loads. Simulations are aimed at assessing how much optimality can be affected by prevision errors. Tests are carried out considering a simulated environment characterized by realistic and highly resolved demand and generation curves.
Predictive control of demand and storage for residential prosumers / Bruno, Sergio; Giannoccaro, Giovanni; Scala, Massimo La. - ELETTRONICO. - (2017). (Intervento presentato al convegno IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2017 tenutosi a Torino, Italy nel September 26-29, 2017) [10.1109/ISGTEurope.2017.8260327].
Predictive control of demand and storage for residential prosumers
Bruno, Sergio;Giannoccaro, Giovanni;Scala, Massimo La
2017-01-01
Abstract
The authors propose a control architecture aimed at optimizing energy resources for residential prosumers in a demand response framework. The control of resources is performed in two stages. The global control functions, based on the solution of a predictive optimal control problem are ensured by a cloud-based computation platform whereas a closed-loop local controller is responsible for the management of field components and actuators. The methodology is developed for managing residential micro/nano grids comprising PV generation, battery storage and interruptible loads. Simulations are aimed at assessing how much optimality can be affected by prevision errors. Tests are carried out considering a simulated environment characterized by realistic and highly resolved demand and generation curves.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.