The concentrating solar power plant can be highly flexible and easily dispatched, and can be used as a regulating resource to participate in multi-source joint dispatch. However, the existing dispatch method lacks consideration of the impact of the uncertainty of wind and solar power and load demand on power system operation. This means that any final decision faces operational risk. To this end, we propose a multi-source joint scheduling strategy for CSPP based on IGDT. The operating characteristics of the CSPP and the mechanism of multi-source coordination of the system are analyzed. Given the uncertain characteristics of wind and solar power and load demand, a robust multi-source joint scheduling model and an opportunistic scheduling model are established, and the overall scheduling strategy process is given. By adjusting the level factor value of models, the strategy can realize multi-source joint optimal scheduling decision with different risks. Case studies show that this proposed strategy can quantify the influence of uncertainty factors on dispatch and improve the economics of system operation. This work is supported by the Science and Technology Project of State Grid Corporation of China (No. 5218E020000W), the Fundamental Research Funds for the Central Universities (No. SWU119039) and the Natural Science Foundation of Chongqing (No. cstc2020jcyj-msxmX0590).