  This paper presents a method to handle renewable source and load
uncertainties in Dynamic Day-ahead Optimal Power Flow (DA-OPF) using
post-optimal analysis of linear programming problem. The method does not
require the uncertainty distribution information to handle it. A new
Participation Factor (PF) to distribute changes caused by uncertainty has been
developed based on the current optimal basis. The proposed PF takes care of all
the constraints and ensures optimality with uncertain renewable generation and
load using Sensitivity Analysis (SA) and Individual Tolerance Ranges (ITR) for
individual and multiple simultaneous changes respectively. For quantification
of confidence level, standard density distribution of solar power output and
load is used. The test results on IEEE 30-Bus establishes the applicability of
the proposed method for handling single and multiple bus uncertainties.
