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

Electrical energy has to be generated at 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 constant power generation at its best economical rating. The presented approach shows a way to schedule loads so that some energy is storaged when it is available at lower generation costs. An evolutionary algorithm is evaluated which computes the optimal operation times of the above-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 systems for power system load management.