Abstract
This paper proposes an optimal operation for coordinated Battery Energy Storage (BES) and wind generation in a day-ahead market under wind uncertainty. A comprehensive AC Optimal Power Flow (AC OPF) model was established to incorporate wind and storage into a power system. To take into account wind forecast uncertainty, preprocessing technique, time series model, and fast forward selection method were applied for scenario generation and reduction processes. Tests were performed on a modified IEEE 14-bus system and the results show that the use of BESs is an alternative to guarantee a more efficient and flexible operation of wind power plants.
Highlights
Wind energy has gained considerable interest globally during the last decades due to the increased environment concern
A case study is carried out on a modified IEEE 14-bus network (Figure 6), with a wind-storage system located at bus 6
In order to show the effect of wind uncertainties on optimization results, sensitivity analysis is performed on Battery Energy Storage (BES) capacities with different wind penetration levels in both deterministic and scenario-based cases
Summary
Wind energy has gained considerable interest globally during the last decades due to the increased environment concern. The cooperation strategy of a wind-storage system is substantially important in achieving optimal tradeoff between operation cost and profit This operation problem is challenging due to the stochastic behavior of wind power output. The model focuses on the use of BES to time-shift wind energy to higher price periods, i.e. arbitrage, which is a important service that energy storage systems can provide in day-ahead energy markets. This model is an effective tool for wind farm operators to determine the optimal day-ahead operating strategies of wind-storage systems under wind uncertainties. Extensive tests were performed on a modified IEEE 14-bus system
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