Abstract:Due to its unique advantages, the multiple renewable energy complementary combined power generation technology is becoming one of the preferred power supply scheme under the “carbon peaking and carbon neutrality” context. The optimal dispatching of this complementary coordinated generation system considering its complex uncertain coupling characteristics has attracted more and more attention. For uncertain optimal dispatching problems, this paper introduced the data-driven distributionally robust optimization (DRO) theory, which can better balance the uncertainty and the robustness of the problem. A new coordinated optimal dispatching method for the cascaded hydro-PV-pumped storage combined system was further proposed based on the data-driven DRO theory. This method established a two-stage DRO dispatch model to formulate the daily dispatch schedule considering the complementary economic dispatch cost of the system firstly. The comprehensive norm constraint was introduced to limit the probability confidence interval. Considering the adjustment cost of the real-time operation under the worst distribution, the optimal dispatch schedule was formed by the optimized adjustment scheme for the day-ahead dispatch schedule, the daily dispatch schedule and the adjustive dispatch scheme. The two-stage dispatch model was solved by the CCG algorithm according to the MP-SP framework finally. In order to verify the performance of the proposed method, the actual operation data of the demonstration area in Sichuan was taken to carry out the validity verification, the performance comparative analysis and the simulation verification of computational efficiency. The results show that, the validity of the proposed scheduling method is verified in the data scale and the confidence level dimensions. For the robustness and economy comparison of the SO, the RO and the proposed method, the method proposed in this paper can achieve higher robustness than SO and higher economy than RO. Comparing the calculation time of this scheduling method with the probabilistic sequential production simulation method, this method achieves a higher computational efficiency with the same computational accuracy. Based on the two-stage dispatching model and the iterative calculation, the data-driven DRO coordinated dispatching method for the cascaded hydro-PV-pumped storage combined system can achieve the balance between the economy and robustness of the dispatching results. Its efficient performance has been verified and a new way is obtained for the complementary coordinated dispatching of multi renewables.