This paper studies the rolling security-constrained unit commitment (RSCUC) problem with AC power flow and uncertainties. For this NP-hard problem

it is modeled as a Markov decision process

which is then solved by a transfer-based approximate dynamic programming (TADP) algorithm proposed in this paper. Different from traditional approximate dynamic programming (ADP) algorithms

TADP can obtain the commitment states of most units in advance through a decision transfer technique

thus reducing the action space of TADP significantly. Moreover

compared with traditional ADP algorithms

which require to determine the commitment state of each unit

TADP only needs determine the unit with the smallest on-state probability among all on-state units

thus further reducing the action space. The proposed algorithm can also prevent the iterative update of value functions and the reliance on rolling forecast information

which makes more sense in the rolling decision-making process of RSCUC. Finally

numerical simulations are carried out on a modified IEEE 39-bus system and a real 2778-bus system to demonstrate the effectiveness of the proposed algorithm.