Type-2 Fuzzy Logic based on PID controller for AGC of Two-Area with Three Source Power System including Advanced TCSC

Meziane, Khaddouj Ben; Naoual, Rachid; Boumhidi, Ismail

doi:10.1016/j.procs.2019.01.058

Cited by 9 publications

(5 citation statements)

References 12 publications

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“…The results derived from applying the criterion of integral square error (ISE) using MATLAB Simulink show the proficiency of the proposed technique. K. Ben Meziane, R. Naoual, and I. Boumhidi presented, in [31], the interval type-2, fuzzy-logic-based, tuned PID controller for AGC of a two-area hydro, gas, and thermal power system with an Advanced Thyristor Controlled Series Capacitor (ATCSC). ITAE is considered as the objective function.…”

Section: Fuzzy Logic Controlmentioning

confidence: 99%

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Automatic Generation Control of a Multi-Area Hybrid Renewable Energy System Using a Proposed Novel GA-Fuzzy Logic Self-Tuning PID Controller

Ali,

Aly,

Little

2024

Energies

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Human activities overwhelm our environment with CO2 and other global warming issues. The current electricity landscape necessitates a superior, continuous power supply and addressing such environmental concerns. These issues can be resolved by incorporating renewable energy sources (RESs) into the utility grid. Thus, this paper presents an optimized hybrid fuzzy logic self-tuning PID controller to control the automatic generation control (AGC) of various renewable sources. This controller regulates the frequency deviations of the power system and governs the change in the tie-line load of a multi-area hybrid energy system composed of wind, biomass, and photovoltaic energy sources. MATLAB Simulink software was applied to design and test the system. The PID controller has been tuned using four algorithms, namely, genetic algorithm (GA), pattern search (PS), simulated annealing (SA), and particle swarm optimization (PSO), and we compared the results with the proposed novel optimized PID controller (GA-fuzzy logic self-tuning technique) to validate it. The results show the superiority of the proposed hybrid GA-fuzzy logic self-tuning algorithm over the other algorithms in bringing the power system back to its regular operation. The paper also proposes an operation strategy to lower the utilization of biomass energy in the presence of other renewable energy sources.

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Section: Fuzzy Logic Controlmentioning

confidence: 99%

“…K. Ben Meziane, R. Naoual, and I. Boumhidi presented, in [31], the interval type-2, fuzzy-logic-based, tuned PID controller for AGC of a two-area hydro, gas, and thermal power system with an Advanced Thyristor Controlled Series Capacitor (ATCSC). ITAE is considered as the objective function.…”

Section: Fuzzy Logic Controlmentioning

confidence: 99%

Automatic Generation Control of a Multi-Area Hybrid Renewable Energy System Using a Proposed Novel GA-Fuzzy Logic Self-Tuning PID Controller

Ali,

Aly,

Little

2024

Energies

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“…The regulation performance is depicted in Figure 7. The performance is compared with the some similar popular controllers, such as PI type-1 FLC (PI-T1-FLC) [38] and PI type-2 FLC (PI-T2-FLC) [39]. One can see that the designed control system outperforms in a desirable performance.…”

Section: Simulationmentioning

confidence: 99%

Frequency Regulation System: A Deep Learning Identification, Type-3 Fuzzy Control and LMI Stability Analysis

et al. 2021

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In this paper, the problem of frequency regulation in the multi-area power systems with demand response, energy storage system (ESS) and renewable energy generators is studied. Dissimilarly to most studies in this field, the dynamics of all units in all areas are considered to be unknown. Furthermore time-varying solar radiation, wind speed dynamics, multiple load changes, demand response (DR), and ESS are considered. A novel dynamic fractional-order model based on restricted Boltzmann machine (RBM) and deep learning contrastive divergence (CD) algorithm is presented for online identification. The controller is designed by the dynamic estimated model, error feedback controller and interval type-3 fuzzy logic compensator (IT3-FLC). The gains of error feedback controller and tuning rules of the estimated dynamic model are extracted through the fractional-order stability analysis by the linear matrix inequality (LMI) approach. The superiority of a schemed controller in contrast to the type-1 and type-2 FLCs is demonstrated in various conditions, such as time-varying wind speed, solar radiation, multiple load changes, and perturbed dynamics.

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“…In [26], the LFC has been used via type-2 fuzzy for a multi-area power system. In addition, a type-2 fuzzy with PID was used for two-area networks by [27,28]. The LFC problem was also seen in smart grids [29] using fuzzy logic and genetic algorithm.…”

Section: Introductionmentioning

confidence: 99%

Novel Fractional-Order Proportional-Integral Controller for Hybrid Power System with Solar Grid and Reheated Thermal Generator

Padiachy

Mehta

2023

Solar

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This paper presents a new fractional-order proportional-integral, (PI)λ (FO[PI]) type structure to investigate the load frequency control (LFC) problem. In the literature, some controllers’ extensive tuning options may slow or complicate the optimization process. Due to the intricacy of the tuning, even if there are fewer tuning parameters, a robust structure can be obtained. The (PI)λ structure deviates from the standard FOPI, integer PID, or PI-PD controllers with the same or fewer tuning parameters. The efficacy of a tri-parametric fractional-order controller is examined on a two-area interconnected hybrid power system comprising a photovoltaic (PV) grid and a Reheated Thermal Generator (RTG). In order to obtain optimal performance with lower control efforts, a novel dual-performance index is developed for the LFC problem. Various analyses are also proven to perform better than other optimized controllers from the recent literature. The presented scheme is significantly robust to disturbance interruptions, non-linearities, and parameter perturbations. It is also observed that there are no stability issues due to communication time delays. It is highlighted that the improvement can be obtained without adding complex structure or controller parameters.

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Type-2 Fuzzy Logic based on PID controller for AGC of Two-Area with Three Source Power System including Advanced TCSC

Cited by 9 publications

References 12 publications

Automatic Generation Control of a Multi-Area Hybrid Renewable Energy System Using a Proposed Novel GA-Fuzzy Logic Self-Tuning PID Controller

Automatic Generation Control of a Multi-Area Hybrid Renewable Energy System Using a Proposed Novel GA-Fuzzy Logic Self-Tuning PID Controller

Frequency Regulation System: A Deep Learning Identification, Type-3 Fuzzy Control and LMI Stability Analysis

Novel Fractional-Order Proportional-Integral Controller for Hybrid Power System with Solar Grid and Reheated Thermal Generator

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