Optimizing the Operating Strategy of Over-Installed Renewable Plants With Battery Storage Systems

Producers of renewable plants can enhance their profits by submitting accurate production profiles to the day-ahead energy markets. However, potential deviations between day-ahead forecasts and actual power generation result in power imbalances, which are penalized in the balancing market. To address this issue, this work proposes an operating strategy for over-installed renewable plants with battery energy storage systems (BESSs) to reduce power imbalances and thereby enhance the
profits of producers. Specifically, a linear optimization scheme is developed to minimize power deficits during real-time operation by scheduling the charging and discharging power set-points of the BESS. The proposed scheme is implemented within a model predictive control framework using updated renewable forecasts.
Moreover, a secondary controller is integrated into the proposed approach to store the renewable generation that exceeds the maximum export limits, eliminating power generation curtailments. The proposed strategy is applied to a wind power plant using real data. Simulation results demonstrate the capability of the proposed operating strategy to yield high-quality solutions under power generation uncertainty, enhancing profits by 4.2% and reducing power imbalances by 17.8%.