The combined operation of concentrating solar power and photovoltaics(PV) is an effective way to deal with the curtailment of solar power generation. The unit commitment problem involving concentrating solar power (CSP) system is solved by the proposed distributionally robust optimization method considering the receiver operation mode. The proposed method fully considers the uncertainties of CSP and PV output while ensuring the robustness and economic efficiency. Firstly
a detailed model of CSP plant considering the receiver operational mode is built taking account of the real-time state of thermal energy storage as well as the solar-thermal-electric energy conversion process. Secondly
a distributionally robust optimization method for the unit commitment model is proposed based on the complementary operation mechanism between CSP and PV. The columns and constraints generation algorithm is employed to solve the optimization problem and the total operation cost is minimized. Finally
typical scenarios are generated through historical data clustering
and the effectiveness of the proposed method is verified by the numerical results.
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