Day-ahead reactive power optimization method based on branch-bound method and primal-dual interior point method

The invention discloses a day-ahead reactive power optimization method based on a branch-bound method and a primal-dual interior point method and belongs to the reactive power optimization technology field of a power system. The method is characterized in that constraints of discrete variables in each period, adjusting gears in adjacent period and whole-day operation times are considered, and primary problems are branched and combined with branched branch-cutting strategies according to the periods, so that all discrete variables gradually approach to discrete values and meet the coupling constraints among the period; the primary problems are decomposed into a series of single-period reactive power optimization sub-problems only containing continuous variables after being branched according to the periods, the sub-problems are solved by adopting the primal-dual interior point method, and the calculated amount is reduced. The day-ahead reactive power optimization method is excellent in convergence, high in reliability and steady in calculation result.