Proceedings Article•
Design of Fuzzy Regulator for Power System Secondary Load Frequency Control
01 Jan 2002-
TL;DR: The proposed stability analysis presents a good starting point for the design of fuzzy regulator for nonlinear systems for power system secondary load-frequency control model.
Abstract: The stability analysis of nonlinear system that is harmonically linearised is given[10, 3, 11]. With the introduction of fuzzy regulator the nonlinear system consists of linear part and two nonlinear parts. The stability analysis is conducted by use of describing function method and Hurwitz stability criterion. Proportional and derivative parameters of Mamdani type fuzzy regulator gains were preliminary tuned (pre-tuned) by Cohen-Coon and Ziegler-Nichols methods [1, 13]. Stability analysis was conducted for the power system secondary load-frequency control model. The proposed stability analysis presents a good starting point for the design of fuzzy regulator for nonlinear systems.
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TL;DR: In this paper, the authors investigated the load-frequency control (LFC) for improving power system dynamic performance over a wide range of operating conditions, and proposed a neural network model predictive controller (NN-MPC) on two-area load frequency power systems.
45 citations
Cites background or methods from "Design of Fuzzy Regulator for Power..."
...A different algorithm has been presented in [8] to improve the performance of multi-area power systems....
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...The applications of artificial neural networks, genetic algorithms, fuzzy logic and optimal control to LFC have been reported in [3–10]....
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...During the last decades, various control strategies for LFC have been proposed [1–10]....
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01 Dec 2012
TL;DR: The linear and nonlinear models with different conventional and intelligent control techniques have been discussed and strategies based on digital, self-tuning control, adaptive, VSS systems, and soft computing control have been included.
Abstract: There are volume of research articles regarding Load Frequency Control (LFC) of single area/multi area power system considering various control strategies To use these research articles in a systematic way, an exhaustive literature review is required to avoid duplication in research work In this paper, a review on LFC of power system using different control techniques is given The linear and nonlinear models with different conventional and intelligent control techniques have been discussed LFC strategies based on digital, self-tuning control, adaptive, VSS systems, and soft computing control have been included
19 citations
Cites background from "Design of Fuzzy Regulator for Power..."
...Fuzzy controller is based on a logical system called fuzzy logic which is much closer in spirit to human thinking and natural language than classical logical systems [78], [80]-[83]....
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01 Jan 2013
TL;DR: In this paper, a literature review and a latest and exhaustive bibliographical survey on the AGC of power systems is presented. Various control aspects concerning AGC problem have been highlighted.
Abstract: An attempt is made in this article to show literature review and a latest and exhaustive bibliograp hy on the AGC of power systems. Various control aspects concerning the AGC problem have been highlighted. AGC schemes based on techniques and parameters are discussed. The investigations on AGC systems incorporating RES, asynchronous tielines and deregulated environments have been analysed. Finally, AGC strategies based on variable structure, robust, adaptive, self - tuning, digital/discrete, and intelligent control have also been incorporated.
12 citations
Additional excerpts
...Specifically, fuzzy logic concept has been exploited in many ways for designing AGC schemes for single and multi-area interconnected power systems [154-179]....
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TL;DR: The load-frequency control (LFC) based on neural network for improving power system dynamic performance is investigated and the controller is adaptive and is based on a nonlinear auto regressive moving average (NARMA-L2) algorithm.
Abstract: This paper investigates the load-frequency control (LFC) based on neural network for improving power system dynamic performance. In this paper an Artificial Neural Network (ANN)based controller is presented for the Load Frequency Control (LFC) of a five area interconnected power system. The controller is adaptive and is based on a nonlinear auto regressive moving average (NARMA-L2) algorithm . The working of the conventional controller and ANN based NARMA L2 controllers is simulated using MATLAB/SIMULINK package . . The Simulink link results of both the controllers are compared.
6 citations
Cites background from "Design of Fuzzy Regulator for Power..."
...The applications of artificial neural networks, genetic algorithms, fuzzy logic and optimal control to LFC have been reported in [8-15]....
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Journal Article•
TL;DR: In this paper, an Artificial Neural Network (ANN) based controller is presented for the Automatic Generation Control (AGC) of a five area interconnected power system, which controls the inputs of each area in the power system together.
Abstract: This paper investigates the load-frequency control (LFC) based on neural network for improving power system dynamic performance. In this paper an Artificial Neural Network (ANN) based controller is presented for the Automatic Generation Control (AGC) of a five area interconnected power system. The proposed control has been designed for a five-area interconnected power system using artificial neural network (ANN) controller, which controls the inputs of each area in the power system together. The controller is adaptive and is based on a nonlinear auto regressive moving average (NARMA-L2) algorithm. The working of the controllers is simulated using MATLAB/SIMULINK package.
2 citations