An innovative concept for the efficient local use of locally produced energy contains sub-autarchical micro grids, which link local system components (including generators, batteries and loads) at the smallest energy grid level. The implementation of micro grids is motivated by the objective to reduce weather-dependent energy flows between grid levels and a large portion of installed renewable energy capacity that is currently supplying at low and medium voltage grid levels and producing energy in close proximity to the customer. Furthermore, the topology of the medium and low-voltage networks provides an optimal basis for implementing micro grids with a minimum effort of physical adjustments.
The control of the energy flows in micro grids as well as conventional networks is coordinated by control systems. In this case, the economically optimal operating schedule of a cluster of energy production units for covering the energy demand is determined on the basis of forecasts over a specific time period. For solving the underlying mathematical optimization problem, constraints such as efficiency curves of power plants, maintenance costs and many other technical factors like energy market decisions on spot and intraday markets have great influence. This leads to a complex multi objective optimization problem.
Within the scope of the carpeDIEM project, a technology will be developed which optimizes the use of local available energy resources in virtual micro grids. On the basis of surveyed patterns, simulation models will be set up to evaluate system configurations. The benefits of a DIEM system will be shown at demonstration sit