A robust unit commitment-based TSO-DSO coordination scheme for optimal generation scheduling

Abstract

As distributed energy resources (DERs) become more prevalent, transmission system operators (TSOs) must align their actions with those of the distribution system operators (DSOs). On the other hand, the growing integration of renewable energy sources (RESs), marked by significant uncertainty, presents a complex challenge for optimal generation scheduling at both transmission and distribution levels. Hence, devising a novel scheme for the robust unit commitment (UC)-based coordination (RUCC) for optimal generation scheduling in a coupled transmission and distribution system (TS and DS) is of utmost importance to maintain the security and efficiency of the power supply. This article uses bilevel programming to construct a RUCC methodology for collaborative TSO-DSO generation scheduling. The first and second layers consider the TSO and DSOs' scheduling problems, where adaptive robust optimization (ARO) tackles the uncertainties at both levels. Each active DS consists of different DERs like dispatchable distributed generation (DG), energy storage systems (ESSs), plug-in electric vehicles (PEVs), wind turbines, and photovoltaic (PV) panels. The bilevel problem is solved using an iterative approach, while the TSO/DSO scheduling problems are solved using the column-and-constraint generation (CCG) technique. The proposed strategy is compared with traditional models, where the results demonstrate the methodology's effectiveness.