A Lyapunov function neuro-adaptive controller for LFC in two-area power system

Muhammad Saleheen Aftab; Muhammad Shafiq; Fakhra Aftab

doi:10.1109/IECON.2015.7392824

A Lyapunov function neuro-adaptive controller for LFC in two-area power system

Muhammad Saleheen Aftab, Muhammad Shafiq, Fakhra Aftab

Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

4 Citations (Scopus)

Abstract

Dynamic variations in real power directly affects the system frequency. Consequently, large frequency deviations in interconnected systems might cause costly power outages. In order to maintain continuous and stable power production, the load frequency control (LFC) becomes utmost important. This paper presents a neuro-adaptive controller that minimizes the effects of load variations on system frequency and tie-line exchanges. The proposed controller is trained with a new Lyapunov function backpropagation learning algorithm that overcomes the fundamental problems associated with the conventional gradient-descent error backpropagation. Computer simulations, performed in Simulink environment, demonstrate superior load frequency control achieved with the proposed controller.

Original language	English
Title of host publication	IECON 2015 - 41st Annual Conference of the IEEE Industrial Electronics Society
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	4645-4649
Number of pages	5
ISBN (Electronic)	9781479917624
DOIs	https://doi.org/10.1109/IECON.2015.7392824
Publication status	Published - Jan 25 2016
Event	41st Annual Conference of the IEEE Industrial Electronics Society, IECON 2015 - Yokohama, Japan Duration: Nov 9 2015 → Nov 12 2015

Other

Other	41st Annual Conference of the IEEE Industrial Electronics Society, IECON 2015
Country/Territory	Japan
City	Yokohama
Period	11/9/15 → 11/12/15

Keywords

error backpropagation
load frequency control
Lyapunov function
neural networks
two-area power system

ASJC Scopus subject areas

Electrical and Electronic Engineering
Industrial and Manufacturing Engineering

Access to Document

10.1109/IECON.2015.7392824

Cite this

A Lyapunov function neuro-adaptive controller for LFC in two-area power system. / Aftab, Muhammad Saleheen; Shafiq, Muhammad; Aftab, Fakhra.

IECON 2015 - 41st Annual Conference of the IEEE Industrial Electronics Society. Institute of Electrical and Electronics Engineers Inc., 2016. p. 4645-4649 7392824.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Aftab, MS, Shafiq, M & Aftab, F 2016, A Lyapunov function neuro-adaptive controller for LFC in two-area power system. in IECON 2015 - 41st Annual Conference of the IEEE Industrial Electronics Society., 7392824, Institute of Electrical and Electronics Engineers Inc., pp. 4645-4649, 41st Annual Conference of the IEEE Industrial Electronics Society, IECON 2015, Yokohama, Japan, 11/9/15. https://doi.org/10.1109/IECON.2015.7392824

@inproceedings{b9efaa7b142a4fa0937017ea918ac2b1,

title = "A Lyapunov function neuro-adaptive controller for LFC in two-area power system",

abstract = "Dynamic variations in real power directly affects the system frequency. Consequently, large frequency deviations in interconnected systems might cause costly power outages. In order to maintain continuous and stable power production, the load frequency control (LFC) becomes utmost important. This paper presents a neuro-adaptive controller that minimizes the effects of load variations on system frequency and tie-line exchanges. The proposed controller is trained with a new Lyapunov function backpropagation learning algorithm that overcomes the fundamental problems associated with the conventional gradient-descent error backpropagation. Computer simulations, performed in Simulink environment, demonstrate superior load frequency control achieved with the proposed controller.",

keywords = "error backpropagation, load frequency control, Lyapunov function, neural networks, two-area power system",

author = "Aftab, {Muhammad Saleheen} and Muhammad Shafiq and Fakhra Aftab",

year = "2016",

month = jan,

day = "25",

doi = "10.1109/IECON.2015.7392824",

language = "English",

pages = "4645--4649",

booktitle = "IECON 2015 - 41st Annual Conference of the IEEE Industrial Electronics Society",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

address = "United States",

note = "41st Annual Conference of the IEEE Industrial Electronics Society, IECON 2015 ; Conference date: 09-11-2015 Through 12-11-2015",

}

TY - GEN

T1 - A Lyapunov function neuro-adaptive controller for LFC in two-area power system

AU - Aftab, Muhammad Saleheen

AU - Shafiq, Muhammad

AU - Aftab, Fakhra

PY - 2016/1/25

Y1 - 2016/1/25

N2 - Dynamic variations in real power directly affects the system frequency. Consequently, large frequency deviations in interconnected systems might cause costly power outages. In order to maintain continuous and stable power production, the load frequency control (LFC) becomes utmost important. This paper presents a neuro-adaptive controller that minimizes the effects of load variations on system frequency and tie-line exchanges. The proposed controller is trained with a new Lyapunov function backpropagation learning algorithm that overcomes the fundamental problems associated with the conventional gradient-descent error backpropagation. Computer simulations, performed in Simulink environment, demonstrate superior load frequency control achieved with the proposed controller.

AB - Dynamic variations in real power directly affects the system frequency. Consequently, large frequency deviations in interconnected systems might cause costly power outages. In order to maintain continuous and stable power production, the load frequency control (LFC) becomes utmost important. This paper presents a neuro-adaptive controller that minimizes the effects of load variations on system frequency and tie-line exchanges. The proposed controller is trained with a new Lyapunov function backpropagation learning algorithm that overcomes the fundamental problems associated with the conventional gradient-descent error backpropagation. Computer simulations, performed in Simulink environment, demonstrate superior load frequency control achieved with the proposed controller.

KW - error backpropagation

KW - load frequency control

KW - Lyapunov function

KW - neural networks

KW - two-area power system

UR - http://www.scopus.com/inward/record.url?scp=84973160468&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84973160468&partnerID=8YFLogxK

U2 - 10.1109/IECON.2015.7392824

DO - 10.1109/IECON.2015.7392824

M3 - Conference contribution

AN - SCOPUS:84973160468

SP - 4645

EP - 4649

BT - IECON 2015 - 41st Annual Conference of the IEEE Industrial Electronics Society

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 41st Annual Conference of the IEEE Industrial Electronics Society, IECON 2015

Y2 - 9 November 2015 through 12 November 2015

ER -

A Lyapunov function neuro-adaptive controller for LFC in two-area power system

Abstract

Other

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this