Virtual Power Plant for Residential Demand Response

This report presents the progress done in the first 1.5 years in relation to the PhD project “Virtual Power Plant for Residential Demand Response”. The PhD project aims to gain insight on demand response provision in residential buildings by using a Virtual Power Plant (VPP) in a smart grid scenario. The document shows an architectural overview of the designed VPP and a prototype of the latter based on industrial automation equipment. Furthermore, the report introduces the control strategy of the VPP. This strategy is based on a model predictive control approach to locally optimize energy resources and to provide demand response to an aggregator. In addition, an initial study on prediction models for electricity consumption of residential buildings is presented. Load forecasting models like the ones described are used by the intelligence of the VPP for decision making. The report concludes by outlining the future work together with the planed publications that will lead to timely completion of the PhD study

Modeling and control of an inverted pendulum turbine

The main goal of this project is to get a mathematical model of an inverted pendulum turbne in order to know the behaviour and to get a proper control of these new wind turbine.Outgoin

Virtual Power Plant for Smart Grid Ready Buildings and Customers

This report contains a summary of results from the ForskEL project: Virtual Power Plant for Smart Grid Ready Buildings and Customers

Modeling and control of an inverted pendulum turbine

The main goal of this project is to get a mathematical model of an inverted pendulum turbne in order to know the behaviour and to get a proper control of these new wind turbine.Outgoin

Modeling and control of an inverted pendulum turbine

The main goal of this project is to get a mathematical model of an inverted pendulum turbne in order to know the behaviour and to get a proper control of these new wind turbine.Outgoin