Robust Distributed Model Predictive Load Frequency Control of Interconnected Power System

Joint Authors

Xi, Ke
Nong, Huiyun
Yao, Xiuming
Liu, Xiangjie

Source

Mathematical Problems in Engineering

Issue

Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-10, 10 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2013-12-24

Country of Publication

Egypt

No. of Pages

10

Main Subjects

Civil Engineering

Abstract EN

Considering the load frequency control (LFC) of large-scale power system, a robust distributed model predictive control (RDMPC) is presented.

The system uncertainty according to power system parameter variation alone with the generation rate constraints (GRC) is included in the synthesis procedure.

The entire power system is composed of several control areas, and the problem is formulated as convex optimization problem with linear matrix inequalities (LMI) that can be solved efficiently.

It minimizes an upper bound on a robust performance objective for each subsystem.

Simulation results show good dynamic response and robustness in the presence of power system dynamic uncertainties.

American Psychological Association (APA)

Liu, Xiangjie& Nong, Huiyun& Xi, Ke& Yao, Xiuming. 2013. Robust Distributed Model Predictive Load Frequency Control of Interconnected Power System. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-1031907

Modern Language Association (MLA)

Liu, Xiangjie…[et al.]. Robust Distributed Model Predictive Load Frequency Control of Interconnected Power System. Mathematical Problems in Engineering No. 2013 (2013), pp.1-10.
https://search.emarefa.net/detail/BIM-1031907

American Medical Association (AMA)

Liu, Xiangjie& Nong, Huiyun& Xi, Ke& Yao, Xiuming. Robust Distributed Model Predictive Load Frequency Control of Interconnected Power System. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-1031907

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1031907