Risk‐averse bidding of energy and spinning reserve by wind farms with on‐site energy storage

摘要: The increased net-demand uncertainty and volatility observed in power systems with large-scale penetration of intermittent renewables has translated into the deployment larger volumes reserve need for procuring new sources flexibility. In order to cope risk experiencing low profits, wind farm owners must adopt flexible bidding strategies such as coordinating its operation energy storage (ESS). Besides managing imbalances, ESS are also capable providing ancillary services spinning (SPR) frequency response improve profitability. this context, paper proposes a novel two-stage stochastic mathematical programming model that allows considering different degrees aversion when optimising day-ahead SPR strategy on-site ESS. Uncertainty is modelled through prices generation forecasts, while conditional-value-at-risk metric used handle profit risk. developed case studies provide evidence value combined not only daily profits but reduced offer which improves position markets.