Extending the PowerMatcher using dynamic programming

Because of the increasing demand and supply of electricity and the decentralization of the electricity production, it becomes more difficult to balance electricity demand and supply in the electricity grid. A smart electricity grid is needed to deal with the changes. One of the technologies to support this intelligent grid is the PowerMatcher. It is designed to match current demand and current supply and uses a lot of renewable energy is doing so. The current version of the PowerMatcher has some weaknesses and can therefore be improved. One way to do this is to not only use the current demand and current supply but also predictions about future demand and future supply, this leads to the two-time-scale PowerMatcher. This report presents a different strategy of using predictions in the two-time-scale PowerMatcher to improve the two-time-scale PowerMatcher. Using dynamic programming, the new strategy tries to optimally use the available supply of renewable energy.