OMNeT++ Based Simulation Environment for Smart Grid Applications
Demand Response is one of the important applications of the smart grid. It offers a
variety of benefits for electricity providers, electricity customers, and the environment
at the same time. It is valuable and attractive for utilities because it has the
potential to solve the problem of high demand periods with less investment on new
power generating stations. Moreover, the customer will have a more transparent
view on the time varying electricity price and hence he can deal smartly and economically
with the electric power in his house.
This work simulates an automatic Demand Response method to be applied within a
network which connects houses with solar panels and battery storage to the electric
utility, forming a simple Advanced Metering Infrastructure (AMI).
The main functions of this method is to gather real-time data about power demand
and supply of each house, calculate real-time electricity prices, and solve
an optimization problem in order to identify the daily optimal strategy for power
management in the house.
This method has been implemented using the INET/OMNeT++ simulation environment,
and tested on realistic demand and supply data from the energy supplier E.ON.
The optimization problem has been solved by integrating the linear programming
solver lpsolve into OMNeT++.
The results show that a single-person household can save about 15 euros per month
when applying the optimized method with a battery of 2 kWh storage capacity.
Ort: Wetterkreuz 13, Raum 07, Tennenlohe
Zeit: 04. Dezember 2014, 10:15 Uhr