Using GA and Computation Parallelism for the Optimal Pilot Bus Selection

The power system is generally characterized in particular by its size, complexity and time varying, beforehand unknown electrical load. Because large electric power is transferred, even slight changes in the settings can produce significant economic savings. Based on the characteristics of the power system and the nature of the secondary voltage control, it is clear that the optimal pilot bus selection plays a key role in the quality of control and related economic impacts. This paper deals with the system for optimal pilot bus selection of supervisory node voltage control in a large – scale power system, so that the key problem could be solved using the principle of parallelism and grid computing structure to make the computer time consumption as low as possible.