Establishing a rule base for a hybrid ES/XPS approach to load management

Electrical energy has to be generated during the time it is needed. This is in contrast to economic efficiency in power generation since the best operating point for a power plant is a constant power generation at its best economical rating. The presented approach shows a way to schedule loads that do some energy storage to consume electrical power when it is available at lower generation costs. An evolutionary algorithm is evaluated, which computes the optimal operation times of the mentioned loads. Since the evolutionary strategies (ES) themselves do not consider special cases, a knowledge base is integrated into the algorithm. The resulting approach allows a more efficient application of telecontrol system for load management.