Application of intelligence-based predictive scheme to load-frequency control in a two-area interconnected power system

被引：7

作者：

Mazinan, A. H. ^{[1
]}

Hosseini, A. H. ^{[2
,3
]}

机构：

[1] IAU, S Tehran Branch, Dept Elect Engn, Tehran, Iran

[2] Sharif Univ Technol, Dept Comp Engn, Tehran, Iran

[3] Engn Res Ctr, Control Dept, Tehran, Iran

来源：

APPLIED INTELLIGENCE | 2011年 / 35卷 / 03期

关键词：

Load-frequency control; Intelligence-based predictive scheme; Linear generalized predictive control scheme; Two-area interconnected power system; Nonlinear generalized predictive control scheme; CONTROL ANCILLARY SERVICES; VOLTAGE CONTROL; FUZZY; MODEL;

D O I：

10.1007/s10489-010-0236-1

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper describes an application of intelligence- based predictive scheme to load-frequency control (LFC) in a two-area interconnected power system. In this investigation, at first, a dynamic model of the present system has to be considered and subsequently an efficient control scheme which is organized based on Takagi-Sugeno-Kang (TSK) fuzzy-based scheme and linear generalized predictive control (LGPC) scheme needs to be developed. In the control scheme proposed, frequency deviation versus load electrical power variation could efficiently be dealt with, at each instant of time. In conclusion, in order to validate the effectiveness of the proposed control scheme, the whole of outcomes are simulated and compared with those obtained using a nonlinear GPC (NLGPC), as a benchmark approach, which is implemented based on the Wiener model of this power system. The validity of the proposed control scheme is tangibly verified in comparison with the previous one. © Springer Science+Business Media, LLC 2010.

引用

页码：457 / 468

页数：12

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