Abstract: To consider the impact of output uncertainty of concentrated solar power (CSP) plants on grid dispatching, this paper proposes a optimal dispatching methodology based on the Itô stochastic process and fuzzy chance-constrained programming. Firstly, the Itô stochastic process is utilized to accurately model the prediction error of the direct normal irradiance (DNI) to capture its random volatility. Secondly, based on the simulation results of the DNI prediction error, the Itô process is used to construct and quantify the uncertainty of the power generation. Furthermore, this uncertainty description is integrated into a fuzzy chance-constrained model, enabling the power grid dispatching problem for CSP plants to be transformed into an explicit equivalent form that is readily solvable. Finally, the superiority of the proposed method is verified through case study analysis. The results indicate that the proposed method can better characterize the uncertainty of DNI, improve the utilization rate of the CSP plant, and reduce the operating cost of the system.