which encompasses both energy storage and power generation capabilities
has emerged as a grid-friendly renewable energy technology and has become a standard configuration within wind and solar power bases. To further enhance the profitability and consumption of CSP-PV operators
this paper primarily focuses on the impact of the startup and dynamic switching conditions of subsystems such as receiver
heat storage
power generation
and electric heater using molten salt on the performance of CSP-PV hybrid power plants. Aiming to optimize the income generated by the hybrid plant
a multi-time-scale dynamic optimization output model is established. This model also incorporates the power system’s optimal scheduling for day-ahead and intra-day
and the optimized output is then used as the declared power output curve. An optimal scheduling model
aimed at reducing the comprehensive operating costs of the power system
has been established. Finally
the measured data of a power system in a certain region of Northwest China is taken as an example for analysis. The case analysis shows that compared to traditional scheduling strategies and profit-maximization strategies
this peak regulation-oriented strategy increases the total power plant revenue by 13.48% and 6.67% respectively
while reducing the curtailment rates of wind and solar power in the power system by 1.39% and 0.5% respectively.
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