Operation and Control of a Hybrid Isolated Power System with Type-2 Fuzzy PID Controller

“…These two main problems cause the desired system response not to be obtained in control systems. FLC can produce effective results in cases of nonlinearity and uncertainties (Kang et al, 2020; Li et al, 2011; Rawat et al, 2018). It is seen in the literature that very effective control results can be obtained especially with the use of cascades of FLC and PID controllers (Chen et al, 2018; Conker and Baltacioglu, 2020; Precup and Preitl, 2003).…”

Section: Introductionmentioning

confidence: 99%

Design and robustness analysis of fuzzy PID controller for automatic voltage regulator system using genetic algorithm

Doğruer

Can

2022

Transactions of the Institute of Measurement and Control

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In this paper, a Fuzzy proportional–integral–derivative (Fuzzy PID) controller design is presented to improve the automatic voltage regulator (AVR) transient characteristics and increase the robustness of the AVR. Fuzzy PID controller parameters are determined by a genetic algorithm (GA)-based optimization method using a novel multi-objective function. The multi-objective function, which is important for tuning the controller parameters, obtains the optimal solution using the Integrated Time multiplied Absolute Error (ITAE) criterion and the peak value of the output response. The proposed method is tested on two AVR models with different parameters and compared with studies in the literature. It is observed that the proposed method improves the AVR transient response properties and is also robust to parameter changes.

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“…An LFC scheme using a simple fuzzy logic controller was also proposed for a renewable hybrid power system with energy storage (fuel cell system) [12]. Research work for an LFC scheme using a type-2 fuzzy logic PID controller for hybrid isolated power systemswasalso presented in [13]. This technique also improved performance index parameters of the transient response characteristics.…”

Section: Introductionmentioning

confidence: 99%

Interval Type-2 Fuzzy Logic Control-Based Frequency Control of Hybrid Power System Using DMGS of PI Controller

et al. 2021

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The load frequency control of a microgrid is one of the emerging areas due to the changes in demand and supply in power system. So the controllers’ implementation must be changed accordingly. This paper proposes an interval type-2 fuzzy logic-based, dual-mode gain scheduling (DMGS) of the proportional and integral controller in which the gains of the PI controller werescheduled through the dynamic selector. This proposed controller was implemented ina hybrid microgrid power system in which nonconventional energy sources wereadded to each area of the conventional power plant, which madethe system much more prone to frequency variations. The controller was designed for three areas, consisting of a photovoltaic (PV) system, a wind power system, a fuel cell and a diesel engine/hydropower generator in which the generation rate constraint (GRC) was considered as a nonlinearity. The proposed power system was investigated under various load conditions in the MATLAB/SIMULINK environment. A comparative evaluation of changes in frequency, tie-line power fluctuations and variations in area control errors for the test system showed the effectiveness of the current approach over simple fuzzy PI and a conventional PI-controlling approach.

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Operation and Control of a Hybrid Isolated Power System with Type-2 Fuzzy PID Controller

Cited by 12 publications

References 28 publications

Electrochemical hydrogen production: sustainable hydrogen economy

Electrochemical hydrogen production: sustainable hydrogen economy

Design and robustness analysis of fuzzy PID controller for automatic voltage regulator system using genetic algorithm

Interval Type-2 Fuzzy Logic Control-Based Frequency Control of Hybrid Power System Using DMGS of PI Controller

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