Hybrid Taguchi Genetic Algorithm-Based AGC Controller for Multisource Interconnected Power System

Hasan, Naimul; Nasirudin, Ibraheem; Farooq, Shuaib

doi:10.1080/15325008.2019.1576242

Cited by 14 publications

(6 citation statements)

References 18 publications

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“…The AGC schemes are developed and implemented to regulate area control error (ACE) for the stable operation under the steady-state condition. The symbols and abbreviation are having their usual presentation [26].…”

Section: Power System Model For Hybrid Mpc-agc Studymentioning

confidence: 99%

“…Model predictive controller (MPC) is configured in a dense distributed pattern due to its online set-point tracking, and it is used as the supplementary controller. The paper [26] presents the work on hybrid Taguchi-genetic algorithm (HTGA) tuned with automatic generation controller for two areas interconnected multisource power system model. Taguchi method which is based on modified statistical approach and has systematic reasoning ability is used to enhance the performance of genetic algorithm.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Hybrid MPC-Based Automatic Generation Control for Dominant Wind Energy Penetrated Multisource Power System

Hasan

Alsaidan

Sajid

et al. 2022

Modelling and Simulation in Engineering

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This paper presents hybrid model predictive control-based automatic generation regulator design for dominant wind energy penetrated multisource power system. The other power generation sources hydro and thermal are also considered in each area. The proposed AGC regulator is designed for each independent area considering only local power system states to ensure the stability of closed-loop system under small perturbation. The performance of the proposed AGC regulator has been validated for 2% step load perturbation. Furthermore, system parameter is varied to 20% of nominal value to assess the robust performance of the regulator. Performance evaluation between the hybrid MPC, conventional MPC, and traditional AGC regulators considering the dominant participation of the DFIG wind turbines is presented to demonstrate the superior performance of the hybrid MPC AGC regulator.

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Section: Power System Model For Hybrid Mpc-agc Studymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Hybrid MPC-Based Automatic Generation Control for Dominant Wind Energy Penetrated Multisource Power System

Hasan

Alsaidan

Sajid

et al. 2022

Modelling and Simulation in Engineering

Self Cite

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“…The GA is utilized to find gains of the feedback and the switching vector of the regulator. A hybrid Taguchi-genetic algorithm (HTGA) is proposed in [76] for the AGC of a dual area integrated power grid with multiple sources (thermal, hydro, and wind power sources) based on the doubly-fed induction generator (DFIG). To increase the performance of the genetic algorithm in respect to a large standard deviation of the fitness value, a Taguchi technique is utilized, which is centered on the adapted statistical method and systematic cognitive capability.…”

Section: Genetic Algorithm (Ga)mentioning

confidence: 99%

Automatic Generation Control Strategies in Conventional and Modern Power Systems: A Comprehensive Overview

et al. 2021

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Automatic generation control (AGC) is primarily responsible for ensuring the smooth and efficient operation of an electric power system. The main goal of AGC is to keep the operating frequency under prescribed limits and maintain the interchange power at the intended level. Therefore, an AGC system must be supplemented with modern and intelligent control techniques to provide adequate power supply. This paper provides a comprehensive overview of various AGC models in diverse configurations of the power system. Initially, the history of power system AGC models is explored and the basic operation of AGC in a multi-area interconnected power system is presented. An in-depth analysis of various control methods used to mitigate the AGC issues is provided. Application of fast-acting energy storage devices, high voltage direct current (HVDC) interconnections, and flexible AC transmission systems (FACTS) devices in the AGC systems are investigated. Furthermore, AGC systems employed in different renewable energy generation systems are overviewed and are summarized in tabulated form. AGC techniques in different configurations of microgrid and smart grid are also presented in detail. A thorough overview of various AGC issues in a deregulated power system is provided by considering the different contract scenarios. Moreover, AGC systems with an additional objective of economic dispatch is investigated and an overview of worldwide AGC practices is provided. Finally, the paper concludes with an emphasis on the prospective study in the field of AGC.

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“…HTGA was derived from a hybrid of GA and the Taguchi search method. It gave more stable results and was less likely than GA to get stuck in a local optimal solution [20].Hasan, et al [21] showed that the use of HTGA for the adjustment of ACG controller parameters gave more stability than the conventional Genetic Algorithm. In addition, HTGA search is robust and has been used by many others [22,23] and is useful for multi-objective optimization.…”

Section: Introductionmentioning

confidence: 99%

The Optimization of Lathe Cutting Parameters Using a Hybrid Taguchi-Genetic Algorithm

Chu

Xie

et al. 2020

IEEE Access

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In this paper, the multi-objective Hybrid Taguchi-genetic Algorithm is used to search for the best processing parameters with specified processing accuracy. The experimental cutting parameters used for the L9 orthogonal table process are cutting depth, cutting velocity and feed rate. The surface roughness of the machined workpiece surface was measured according to the standard of centerline average roughness. The Material Removal Rate (MRR) will be calculated by measuring the diameter of the processed workpiece from the formula to give the MRR. A linear regression model is constructed from the processed quality and the processing parameters of the orthogonal table and the reliability of the model is confirmed by analysis of variance (ANOVA). A Hybrid Taguchi Genetic Algorithm (HTGA) was used to calculate the optimal cutting parameters for multi-objective processing. The results of the experiments indicate that HTGA gave better convergence and robustness than the conventional Genetic Algorithm (GA) using the same number of iterations. This process produces multiple combinations of optimal cutting parameters for material removal rate and surface roughness. As the enhancement of material removal rate improved efficiency on the production line, the optimal cutting parameters were based on the tolerance range of Ra 1.6μm ~ 3.2μm according to the international standard of surface roughness. After actual processing with the selected optimum cutting parameters, the quality of processing is even better than the experimental design of the L9 Orthogonal table.

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Hybrid Taguchi Genetic Algorithm-Based AGC Controller for Multisource Interconnected Power System

Cited by 14 publications

References 18 publications

Hybrid MPC-Based Automatic Generation Control for Dominant Wind Energy Penetrated Multisource Power System

Hybrid MPC-Based Automatic Generation Control for Dominant Wind Energy Penetrated Multisource Power System

Automatic Generation Control Strategies in Conventional and Modern Power Systems: A Comprehensive Overview

The Optimization of Lathe Cutting Parameters Using a Hybrid Taguchi-Genetic Algorithm

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