ABSTRACT This study introduces a hybrid deterministic–stochastic framework for adaptive multi‐timeframe reconfiguration (MTFR) of smart distribution networks, emphasising the synergistic coordination of renewable energy resources and incentive‐based demand response (DR) to enhance operational flexibility and adaptability under uncertainty. The proposed MTFR approach enables dynamic topology adaptation across daily, multi‐hour and hourly intervals, integrating pre‐deployed renewable units with DR programmes to form a unified flexibility strategy that directly informs reconfiguration decisions. The hybrid optimisation procedure performs deterministic base‐case planning using high‐accuracy forecasts, complemented by scenario‐based stochastic optimisation to capture uncertainties in load demand, renewable generation and market prices. A modified metaheuristic algorithm solves the resulting mixed‐integer nonlinear problem, while a graph‐theoretic subroutine maintains radiality. Simulation studies on the IEEE 33‐bus distribution system demonstrate that the proposed framework significantly reduces operational costs and energy losses, effectively improves voltage profile and markedly enhances overall system adaptability. The results confirm that the synergistic interaction of flexibility resources with MTFR provides an efficient and robust operational foundation for future self‐adaptive smart grids.
Gilanifar et al. (Thu,) studied this question.