Forming Dispatchable Region of Electric Vehicle Aggregation in Microgrid Bidding

With the popularity of plug-in electric vehicles (EVs) and the development of the vehicle to grid (V2G) technology, EVs can be aggregated and behave as a controllable storage system via the Internet of Things. However, it remains an open question as to how large-scale EVs can be effectively integrated into the system-level operation. In this article, we propose a dispatchable region formation approach of EV aggregation to capture its available flexibility in microgrid (MG) bidding. The dispatchable region of EV aggregation describes the feasible operation strategy as a single entity, characterized by its power and cumulative energy limits. Instead of scheduling an individual EV, the dispatchable region of large-scale EVs enables the MG operator to directly schedule the EV aggregation toward market revenue maximization. The MG bidding strategy is formulated as a risk-constrained stochastic programming, which maximizes day-ahead market profits considering real-time imbalance settlement in a dual-pricing market. Case studies based on real-world datasets demonstrate that the proposed dispatchable region approach in MG biding can significantly improve both computation efficiency and forecasting accuracy.

Automated summary

The article proposes a dispatchable region formation approach for EV aggregation in microgrids, allowing the MG operator to directly schedule the EV aggregation for market revenue maximization. This approach can significantly improve computation efficiency and forecasting accuracy, as demonstrated by case studies using real-world datasets.