학술논문

Optimal Stochastic Control of Energy Storage System Based on Pontryagin Minimum Principle for Flattening PEV Fast Charging in a Service Area
Document Type
Periodical
Source
IEEE Control Systems Letters IEEE Control Syst. Lett. Control Systems Letters, IEEE. 6:247-252 2022
Subject
Robotics and Control Systems
Computing and Processing
Components, Circuits, Devices and Systems
Optimal control
Stochastic processes
Microgrids
Cascading style sheets
Trajectory
Power demand
Hybrid power systems
Pontryagin minimum principle
energy storage system
plug-in electric vehicles
fast charging control
Language
ISSN
2475-1456
Abstract
This letter discusses stochastic optimal control of an energy storage system (ESS) for reducing the impact on the grid of fast charging of electric vehicles in a charging area. A trade off is achieved between the objectives of limiting the charging power exchanged with the grid, and the one of limiting the fluctuation, around a given reference, of the ESS energy. We show that the solution of the problem can be derived from the one of a related deterministic problem, requiring the realistic assumption that the charging area operator knows an estimate of the aggregated charging power demand over the day. In addition, two alternative configurations of the charging area are discussed, and it is shown that, while they share the same solution, one better mitigates the demand uncertainty. Numeric simulations are provided to validate the proposed approach.