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This paper presents a new approach to solve or approximate the AC optimalpower flow (ACOPF). By eliminating the need to solve the ACOPF every fewminutes, the paper showcases how a realtime feedback controller can be utilizedin lieu of ACOPF and its variants. By \textit{(i)} forming the grid dynamics asa system of differential algebraic equations (DAE) that naturally encode thenon-convex OPF power flow constraints, \textit{(ii)} utilizing advancedDAE-Lyapunov theory, and \textit{(iii)} designing a feedback controller thatcaptures realtime uncertainty while being uncertainty-unaware, the presentedapproach demonstrates promises of obtaining solutions that are close to the OPFones without needing to solve the OPF. The proposed controller responds inrealtime to deviations in renewables generation and loads, guaranteeingtransient stability, while always yielding feasible solutions of the ACOPF withno constraint violations. As the studied approach herein indeed yields slightlymore expensive realtime generator controls, the corresponding price of realtimecontrol and regulation is examined. Cost-comparisons with the traditional ACOPFare also showcased -- all via case studies on standard power networks.

Sorta Solving the OPF by Not Solving the OPF: DAE Control Theory and the Price of Realtime Regulation