(373f) Scheduling of Baseload Power Plants and Batteries with Integration of Renewables
In this work, a new optimization strategy employing mixed-integer nonlinear programming is explored to integrate the fossil-fueled power plants, such as supercritical pulverized coal (SCPC) and natural gas combined cycle (NGCC) power plants, with energy storage units. This strategy aims to maximize the use of intermittent renewables during scheduling while minimizing the cost under the constraint of maintaining reliability of the grid. The storage unit for the current study comprises sodium sulfur batteries, which are advanced secondary batteries that can be used for various power system applications. At the grid level, sodium sulfur batteries have high potential for electrical storage due to their high energy density, low cost of the reactants, and high open-circuit voltage. Also, a creep-fatigue damage model for the most stressed components in the power plant is considered in order to determine the optimal ramping rates and scheduling while maintaining acceptable component life. Ultimately, the generated ramping rates and schedules of different energy modules can be sent to a lower-level optimizer and advanced model-based controllers.
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