Evolutionary strategies applied for an optimal management of electrical loads

Due to the fact that electrical energy might not be stored efficiently, it has to be generated whenever 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. Quite often electrical energy is consumed by loads doing some storage of thermal or kinetic energy on their own. The idea is to optimize the economic efficiency of power generation by scheduling appropriate parts of those loads in a way that they do consume energy when it is available at lower costs of generation and distribution. A new approach to load scheduling by applying a modified evolutionary strategy is presented in this paper. The results allow for a more efficient application of ripple control or wireless techniques based telecontrol system already installed in numerous utilities.