Research on economic dispatch of large power grid based on granular computing

Abstract

Granular computing, as a new and rapidly growing paradigm of information processing, has attracted many researchers and practitioners. The large power grid could be decomposed into particles with different granularity according to granular computing method. Based on this, a hierarchical quotient space model could be built, so it would be convenient to choose the proper granule in the quotient space rapidly to find the optimal power flow under different circumstances. Thereby reducing the complexity of problem solving processes. The network topology is taken into consideration during the process of granulation, so the equivalent simplification of the network topology can accelerate the calculation speed.