Frequency Control of Modern Multi-Area Power Systems Using Fuzzy Logic Controller

Aluko, Anuoluwapo; Dorrell, David G.; Carpanen, Rudiren Pillay; Ojo, Evans E.

doi:10.1109/powerafrica.2019.8928641

Cited by 13 publications

(4 citation statements)

References 18 publications

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“…To represent the proposed derivative control strategy in the frequency domain, the control law can be evaluated from [47]:…”

Section: Derivative Control Strategy In Grid-connected Wind Energy Symentioning

confidence: 99%

“…Several studies have proposed primary and secondary frequency control strategies for grid-connected WECS from the generator point of view; however, they failed to address the limitations of the power electronics devices that connect the generator to the grid [45]. For the power electronics-based devices, the emulation of inertia for frequency response can be achieved by the control of power that is proportional to the first-order derivative of the system frequency [46,47]. This control scheme is termed "virtual inertia control" because it imitates the inertia characteristics of a conventional synchronous generator.…”

Section: Introductionmentioning

confidence: 99%

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Heuristic Optimization of Virtual Inertia Control in Grid-Connected Wind Energy Conversion Systems for Frequency Support in a Restructured Environment

et al. 2020

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In the work reported in this paper, a novel application of the artificial bee colony algorithm is used to implement a virtual inertia control strategy for grid-connected wind energy conversion systems. The proposed control strategy introduces a new heuristic optimization technique that uses the artificial bee colony (ABC) algorithm to calculate the optimal gain value of an additional derivative control loop added to the control scheme of the machine side converter in a wind energy system to enable wind farms to participate in frequency control as specified by recent grid codes. This helps to minimize the frequency deviations, reduce active power deviation in the system, and increase the penetration level of wind energy in power systems. The study was performed in a restructured power system environment. The proposed control scheme and its robustness were evaluated using load–frequency analysis for three real-life transaction scenarios that can occur in an interconnected open-energy market and the validation was carried out using eigenvalue analysis. The results in this study show that the optimal gain of the proposed controller reduces the frequency deviations and improves stability and overall performance of the system.

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“…To represent the proposed derivative control strategy in the frequency domain, the control law can be evaluated from [47]:…”

Section: Derivative Control Strategy In Grid-connected Wind Energy Symentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Heuristic Optimization of Virtual Inertia Control in Grid-Connected Wind Energy Conversion Systems for Frequency Support in a Restructured Environment

et al. 2020

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“…Later, more researchers presented FLCs in the literature dedicated to controlling PQ using filters and specialized devices [8][9][10]. Table 1 shows a historical sequence of 17 FLCs proposed for PQ improvement in the literature [11][12][13][14][15][16][17][18][19][20][21][22][23][24][25][26][27][28][29][30]. A review of the works published in the 1990s reveals that FLC research was initially focused on reactive power compensation, power factor rise, and voltage and frequency regulation, i.e., power system stability [31].…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Control Systems for Power Quality Improvement—A Systematic Review Exploring Their Efficacy and Efficiency

Miron,

Cziker,

Beleiu

2024

Applied Sciences

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Fuzzy-based control systems have demonstrated a remarkable ability to control nonlinear processes, a characteristic commonly observed in power systems, particularly in the context of power quality enhancement. Despite this, an updated and comprehensive literature review on the applications of fuzzy logic in the domain of power quality control has been lacking. To address this gap, this study critically examines published research on the effective and efficient use of fuzzy logic in resolving quality issues within power systems. Data sources included the Web of Science and academic journal databases, followed by an evaluation of target articles based on predefined criteria. The information was then classified into seven categories, including control system type, features of the fuzzy logic controller, fuzzy logic inference strategy, power quality issue, control device, implementation methodology (efficacy testing), and efficiency improvement. Our study revealed that fuzzy-based control systems have evolved from simple type-1 fuzzy controllers to advanced control systems (type-2 fuzzy and hybrid) capable of effectively addressing complex power quality issues. We believe that the insights gained from this study will be useful to both experienced and inexperienced researchers and industry engineers seeking to leverage fuzzy logic to enhance power quality control.

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“…There is another type of these strategies known as model predictive control, which has been applied to enhance the performance of three-area interconnected power system considering the penetration of wind turbines [14]. Also, there are intelligent control strategies such as (e.g., artificial neural network and fuzzy logic control (FLC)) have been applied to counteract the system's frequency deviations during disturbances in the presence of tidal power units, electrical vehicles, energy storage systems, and solar power systems [15,16] and so on. While all these strategies were successful in resolving LFC difficulties, they depended on the designer's knowledge and experience, experimenting, and trial and error procedures in finding controller parameters, and it takes a very long time to approximate their parameters.…”

Section: Introductionmentioning

confidence: 99%

Frequency Stability of AC/DC Interconnected Power Systems with Wind Energy Using Arithmetic Optimization Algorithm-Based Fuzzy-PID Controller

et al. 2021

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This article proposes an intelligent control strategy to enhance the frequency dynamic performance of interconnected multi-source power systems composing of thermal, hydro, and gas power plants and the high penetration level of wind energy. The proposed control strategy is based on a combination of fuzzy logic control with a proportional-integral-derivative (PID) controller to overcome the PID limitations during abnormal conditions. Moreover, a newly adopted optimization technique namely Arithmetic optimization algorithm (AOA) is proposed to fine-tune the proposed fuzzy-PID controller to overcome the disadvantages of conventional and heuristic optimization techniques (i.e., long time in estimating controller parameters-slow convergence curves). Furthermore, the effect of the high voltage direct current link is taken into account in the studied interconnected power system to eliminate the AC transmission disadvantages (i.e., frequent tripping during oscillations in large power systems–high level of fault current). The dynamic performance analysis confirms the superiority of the proposed fuzzy-PID controller based on the AOA compared to the fuzzy-PID controller based on a hybrid local unimodal sampling and teaching learning-based optimization (TLBO) in terms of minimum objective function value and overshoots and undershoots oscillation measurement. Also, the AOA’s proficiency has been verified over several other powerful optimization techniques; differential evolution, TLBO using the PID controller. Moreover, the simulation results ensure the effectiveness and robustness of the proposed fuzzy-PID controller using the AOA in achieving better performance under several contingencies; different load variations, the high penetration level of the wind power, and system uncertainties compared to other literature controllers adjusting by various optimization techniques.

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Frequency Control of Modern Multi-Area Power Systems Using Fuzzy Logic Controller

Cited by 13 publications

References 18 publications

Heuristic Optimization of Virtual Inertia Control in Grid-Connected Wind Energy Conversion Systems for Frequency Support in a Restructured Environment

Heuristic Optimization of Virtual Inertia Control in Grid-Connected Wind Energy Conversion Systems for Frequency Support in a Restructured Environment

Fuzzy Control Systems for Power Quality Improvement—A Systematic Review Exploring Their Efficacy and Efficiency

Frequency Stability of AC/DC Interconnected Power Systems with Wind Energy Using Arithmetic Optimization Algorithm-Based Fuzzy-PID Controller

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