Study of Co-optimimization Stochastic SuperOPF Application in the CAISO System

Existing solvers and programs for optimal power flow (OPF) computation are mostly focused on achieving an optimal solution to the study objective for a single scenario, namely, the base case system, without considering any uncertainties that might arise during the planning horizon. In fact, with increasing penetration of renewable energy, where the output is stochastic in nature, in power networks and requests for regulatory compliance (such as compliance with FERC regulations), these uncertainties can be neglected no longer. It is crucial for the OPF solutions to be economic for the base-case system and also maintain economic and secure operation for the whole planning horizon even if one or more uncertain scenarios occur. This motivates the development of the multi-scenario SuperOPF (SuperOPF-MS) solver and program, to address the need of computing OPF solutions involving uncertain scenarios for power networks in today’s more and more dynamic environment.