期刊
ELECTRIC POWER SYSTEMS RESEARCH
卷 81, 期 7, 页码 1403-1409出版社
ELSEVIER SCIENCE SA
DOI: 10.1016/j.epsr.2011.02.004
关键词
Sliding mode control (SMC); Automatic generation control (AGC); Genetic algorithms (GA); Nonlinear models; Optimal control
资金
- King Fahd University of Petroleum Minerals
This paper presents a design of a sliding mode controller (SMC) with chattering reduction feature applied to interconnected automatic generation control (AGC). After formulating the design of SMC as an optimization problem, the proposed method utilizes the genetic: algorithms (GA) to find the optimal feedback gains and switching vector values of the controller. In order to guarantee the enhancement of the system dynamical performance and a reduction in the SMC chattering, two objective functions were investigated in the optimization process. The tested two-interconnected AGC model incorporates nonlinearities in terms of generation rate constraint (GRC) and a limiter on the integral control value. Comparison with previous AGC methods reported in literature validates the significance of the proposed SMC design. (C) 2011 Elsevier B.V. All rights reserved.
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