Work

Feedback Linearization Based Distributed Model Predictive Control for Secondary Control of Islanded Microgrid

Year: 2018

Type: article

Abstract: In this paper, a distributed Model Predictive Control (DMPC) is proposed for the secondary voltage and frequency control of islanded microgrid, where each distributed generator (DG) is controlled by a Model Predictive Control (MPC) in the secondary control layer, individually. With considering the nonlinear dynamics of DG with primary control, input‐output feedback schemes are developed for voltage and frequency control separately. Then, all MPCs use the local and neighboring nodes information to solve the optimization problem instead of communicating with a central controller. In this way, the control of the whole system is fully distributed, which allows for a plug‐and‐play. The convergence and stability analysis of the overall closed‐loop system are provided. The simulation result shows the effectiveness of the proposed method.

Source: Asian Journal of Control

DOI: 10.1002/asjc.1906

Authors: Zhuoyu Guo, Shaoyuan Li, Yi Zheng

Institution: Shanghai Jiao Tong University

Language: English

Topic: Microgrid Control and Optimization

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Affordable and clean energy

Open Access status: bronze

Funder: National Natural Science Foundation of China