Testing Grid-Based Electricity Prices and Batteries in a Field Test

Using the flexibility of batteries and households, the overall stress on the network can be reduced, reinforcements to the grid can be postponed or even avoided, and losses can be minimized. However, the current pricing mechanisms do not stimulate to obtain these goals. Within the GridFlex Heeten project, we calculate and send these control signals to 24 household batteries and send incentive signals to households. Determining the control and incentive signals depends on the criteria we take for our optimization. Therefore, the entire network, including geographical layout is modelled and described in a simulation tool called DEMKit

Implementation and Verification of a Realistic Battery Model in the DEMKit Simulation Software

In this work we consider the implementation of the DiBu-model, a realistic model for battery State of Charge prediction, in DEMKit, a smart grid energy management toolkit. The implementation is discussed in detail and the differences between the ideal battery model previously used, and the new realistic model are shown. Lastly the model and implementation are validated by comparing the State of Charge predicted using DEMKit to the State of Charge derived from measurements on an actual battery. The predicted battery behavior matches reality quite well, the difference between the predicted and measured state of charge is generally less than 2%