Optimal Dispatch Based on Aggregated Operation Region of EV Considering Spatio-Temporal Distribution

The optimal dispatch of electric vehicles (EVs) aims to minimize the system operation cost while satisfying the requirements for peak shaving, congestion management and voltage regulation. However, the stochastic mobility of EVs makes dispatch difficult and requires modeling the spatial and temporal distribution of EV availability. In this paper, a trip-chain-based EV resource aggregation model considering EV flexibility similarity is developed. Then, a bilevel optimization model is formulated to enable participation of the EV aggregators (EAGGs) in the day-ahead dispatch while ensuring various system operation constraints. Finally, the proposed bilevel model is transformed into a single-level convex optimization problem that can be conveniently solved by off-the-shelf software. Simulation tests substantiate that the proposed approach is superior to the existing method in terms of higher computational efficiency and lower system operation cost.

Automated summary

This paper proposes a trip-chain-based EV resource aggregation model and formulates a bilevel optimization model to enable the participation of EV aggregators in day-ahead dispatch while minimizing system operation cost and satisfying various constraints. Experimental results demonstrate that the proposed approach outperforms existing methods in terms of computational efficiency and system operation cost.