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This paper presents a method to handle renewable source and loaduncertainties in Dynamic Day-ahead Optimal Power Flow (DA-OPF) usingpost-optimal analysis of linear programming problem. The method does notrequire the uncertainty distribution information to handle it. A newParticipation Factor (PF) to distribute changes caused by uncertainty has beendeveloped based on the current optimal basis. The proposed PF takes care of allthe constraints and ensures optimality with uncertain renewable generation andload using Sensitivity Analysis (SA) and Individual Tolerance Ranges (ITR) forindividual and multiple simultaneous changes respectively. For quantificationof confidence level, standard density distribution of solar power output andload is used. The test results on IEEE 30-Bus establishes the applicability ofthe proposed method for handling single and multiple bus uncertainties.

Computationally Efficient Day-Ahead OPF using Post-Optimal Analysis with Renewable and Load Uncertainties