Power grid random reactive power optimization scheduling method considering source load uncertainty

The invention relates to a power grid random reactive power optimization scheduling method considering source load uncertainty. The method provides a solving process of a random optimal reactive powerscheduling problem with uncertainty for load requirements, wind power generation and solar power generation; a proper probability density function is considered to model the random load demand and the renewable energy power generation capacity; a number of scenarios simulated by Monte Carlo are created, and scenario reduction techniques are applied to handle the number of scenarios; actual powerloss and steady-state voltage deviation of a load bus in a power grid are taken as optimization objectives; an adaptive differential evolution algorithm based on success history is used as a basic search algorithm; the SHADE is combined with a constraint processing technology, namely, an epsilon constraint processing technology, and the ORPD problem with constraints is successfully solved. According to the method, a better