Optimization of Nuclear-Renewable Hybrid Energy System Operation in Forward Electricity Market

In this paper, the optimal operation strategy of a nuclear-renewable hybrid energy system (N-R HES) is explored in a day-ahead market. A grid-connected N-R HES is simulated in a customized day-ahead electricity market simulator to explore the capabilities and benefits of N-R HES by providing both energy and different reserve products. The forward market (i.e., day-ahead) clearing price signal is determined from the market model simulation. Three N-R HES optimization and control strategies are formulated and compared in terms of solution quality and computational efficiency, including: (i) an integrated net export maximization model, (ii) a sequential optimization model, and (iii) a multi-objective optimization model with augmented $\epsilon$ - constraint. Results on the modified NREL 118-bus test system show that: (i) N-R HES is able to provide regulation and spinning reserves, and (ii) the optimization that maximizes the reserve export from N-R HES produces the most revenue for N-R HES.