Abstract: At present， the concentrating solar power （CSP） station is still in the initial stage and the research on the operating efficiency or generating capacity is majorly started from thermal storage medium or thermal storage. Little research has been done to optimize from the energy flow. In view of the above problem， a power generation optimization strategy based on the static model for CSP is established to improve power generation and operating efficiency. Firstly， according to the operating mechanism of the CSP station， the energy flows of subsystems and those among them are simplified reasonably， and the static energy flow mathematical model of CSP is obtained. Then， an optimization strategy， which takes the maximum amount of power generated by the CSP station as the objective function and the mathematical model of static energy flow as the restriction is proposed. The Smith Predictor is adopted to get over the negative effect caused by the time lag link. Finally， the MATLAB is used to verify the correctness of the optimization strategy. The results show that the optimization strategy can effectively improve the power generation and the operating efficiency of the CSP station.

Key words: concentrating solar power station, static energy flow mathematical model, power generation optimization strategy, thermal storage subsystem, charging and discharging process, Smith Predictor, operating efficiency