Challenges Ahead Risk‐Based AC Optimal Power Flow Under Uncertainty for Smart Sustainable Power Systems

This chapter discusses the challenges and proposes solutions to leverage optimal power flow (OPF) computations for future smart sustainable power systems, fostering the development of the first generation of tools balancing risk‐based security criteria and renewable generation forecast uncertainty. In order to provide more tractable algorithms, the major focus should be devoted to the reduction of the number of critical scenarios modeling the uncertainty, which is responsible for the most additional computational burden compared to deterministic OPF. The chapter explains the conventional (deterministic) OPF problem and describes advanced issues related to the current and future generation of OPF packages. It presents a formulation of the OPF problem that integrates a probabilistic, risk‐based security criterion. The chapter addresses the extension of the OPF framework to take into account renewable generation forecast uncertainty. The time line of decision making should be revisited depending on the degree of trust in available uncertainty models.