Title: Load frequency control for the micro-grid system with electrical vehicles based on distributed MPC

Authors: Jing Cui; Hao Wang; Miaomiao Ma

Addresses: School of Control and Computer Engineering, North China Electric Power University, Changping District, Beijing, China ' School of Control and Computer Engineering, North China Electric Power University, Changping District, Beijing, China ' School of Control and Computer Engineering, North China Electric Power University, Changping District, Beijing, China

Abstract: With the development of vehicle-to-grid (V2G) technology, electric vehicles (EVs) can be used as mobile energy storage systems, which is an effective approach to solve load frequency control (LFC) in the micro-grid system. This paper proposes a model predictive control (MPC) strategy in a distributed manner, which is applied in the LFC of micro-grids with EVs. The system is decomposed into multiple subsystems, which are dynamically coupled. We first divide the overall optimal control problem into several local optimisation problems based on the local information of each subsystem, which means that each subsystem is equipped with its own distributed MPC controller. In addition, constraints on the inverter capacity and generation rate are also considered. Finally, simulations on a micro-grid system with EVs demonstrate the effectiveness of the method while respecting physical hard constraints.

Keywords: load frequency control; LFC; distributed model predictive control; micro-grids; electric vehicles.

DOI: 10.1504/IJAMECHS.2023.132523

International Journal of Advanced Mechatronic Systems, 2023 Vol.10 No.3, pp.124 - 131

Received: 19 Nov 2022
Accepted: 13 Mar 2023
Published online: 25 Jul 2023 *

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