Abstract: With the feed-in tariff of offshore wind power excluded from the scope of central financial subsidy, the traditional joint planning can reasonably dredge the investment and operation costs of offshore wind farm integration system, but it is difficult to balance the interests of various investment and operation entities in planning. Aiming at this problem, a robust planning method of the offshore wind farm integration system based on the Stackelberg game is proposed, which combines robust optimization with the game theory. First, the investment and operation mode of the integration system is introduced, and the Stackelberg game planning model of the offshore wind farm integration system is constructed. Then, on this basis, considering the operation and maintenance mode of the integration system under the limited offshore accessibility, the upper layer（offshore wind power developer planning model） is constructed. Moreover, considering the volatility and correlation of offshore wind power output, and the uncertainty of load growth, the lower layer（two-stage robust planning model of electricity transmission system operators） is constructed. Finally, the algorithm combining the particle swarm optimization and the column-and-constraint generation algorithm is used to solve the overall model. Taking an offshore wind farm group as an example, the simulation results show that the proposed method improves the robustness of the planning scheme while ensuring the interests of the two investors.