Over the last decade, more intermittent renewable power has been introduced to the power grid, causing instabilities in the power grid and fluctuations in the price of electricity. Nuclear-renewable hybrid energy systems (NHES) have been proposed as a potential solution. These systems can take advantage of flexible loads and energy storage to more flexibly meet the demands of highly-dynamic power grids. Economical operation of these systems requires careful optimization. In this project, a

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... e NHES model is developed to capture the dynamic operational behavior of these systems. The operation of this model is then optimized to minimize economic costs. A series of optimizers and algorithms, including but not limited to SNOPT, SLSQP, Nelder-Mead, and Fmincon, are then benchmarked for the optimization process. The resulting strengths and weaknesses of each solver for this problem domain are then compared and reported.