Multi-objective power system planning by artificial life simulation

We propose a way to find an appropriate balance between economy and reliability in power system operation using A-life (artificial life) simulation. A-lives move in a two dimensional space that represents operating condition of the model system. They move by a principle selected between two strategies, one of which is seeking economy, while the other is seeking reliability. Two strategies are selected by not only probability but also by the condition of A-livespsila stamina and income by electric power selling. It was observed that the most of the lives prefer reliability to economy. Quite a lot of lives were likely to move based on economy in the beginning stage but gradually decreased when the total population of the A-lives became large. The A-life simulation presented in this paper shows that they succeeded in balancing economy and reliability. More precisely, A-lives prefer economy in the initial stage where they try to propagate by taking in profit. After they reach stable situation they aim for reliability.