Flexible Robust Optimal Bidding of Renewable Virtual Power Plants in Sequential Markets (https://doi.org/10.48550/arXiv.2402.12032)
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In this paper, a novel approach to define the optimal bidding of renewable-only virtual power
plants (RVPPs) in the day-ahead, secondary reserve, and intra-day markets is proposed. To this aim, a robust
optimization algorithm is developed to account for the asymmetric nature of the uncertainties that
characterize the market prices, as well as the energy production of the RVPP stochastic sources and flexible
demand consumption. Simulation results show increased RVPP benefits compared to other existing solutions
and demonstrate the potential of renewable sources to further increase their economic competitiveness. The
simplicity of the implementation, the computational efficiency, and the flexible robustness are also verified
