Real-time detection of microgrid islanding considering sources of uncertainty using type-2 fuzzy logic and PSO algorithm

Khonakdari, Taghi Hosseinzadeh; Kamarposhti, Mehrdad Ahmadi

doi:10.1371/journal.pone.0257830

Cited by 8 publications

(4 citation statements)

References 39 publications

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“…PSO is used to cooperate the swarm performances of birds flocking as well as fish schooling [ 16 ]. Recently, PSO is used to predict the moisture contents of poplar fibers [ 17 ], communication systems [ 18 ], solar photovoltaic system [ 19 ], freeway ramp metering [ 20 ], real-time measurement of microgrid islanding [ 21 ], formulation of computer model with economic measures [ 22 ] and parameter identification with control [ 23 ]. Every particle contains the fitness performances describing the problem standards is known as merit function.…”

Section: Mathematical Model To Solve Singular Singularly Perturbed Modelmentioning

confidence: 99%

A stochastic numerical approach for a class of singular singularly perturbed system

et al. 2022

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In the present study, a neuro-evolutionary scheme is presented for solving a class of singular singularly perturbed boundary value problems (SSP-BVPs) by manipulating the strength of feed-forward artificial neural networks (ANNs), global search particle swarm optimization (PSO) and local search interior-point algorithm (IPA), i.e., ANNs-PSO-IPA. An error-based fitness function is designed using the differential form of the SSP-BVPs and its boundary conditions. The optimization of this fitness function is performed by using the computing capabilities of ANNs-PSO-IPA. Four cases of two SSP systems are tested to confirm the performance of the suggested ANNs-PSO-IPA. The correctness of the scheme is observed by using the comparison of the proposed and the exact solutions. The performance indices through different statistical operators are also provided to solve the SSP-BVPs using the proposed ANNs-PSO-IPA. Moreover, the reliability of the scheme is observed by taking hundred independent executions and different statistical performances have been provided for solving the SSP-BVPs to check the convergence, robustness and accuracy.

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Section: Mathematical Model To Solve Singular Singularly Perturbed Modelmentioning

confidence: 99%

A stochastic numerical approach for a class of singular singularly perturbed system

et al. 2022

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“…The use of thermal energy, which previously predominated, is likely to decline in the future while the use of renewable energy is expected to increase. Additionally, a study into the microgrid's frequency control is important because of its high absorption capacity and possible effect [8]. For the purpose of integrating RESs into the grid at the distribution level, MGs would offer an appropriate infrastructure.…”

Section: Introduction 1literature Reviewmentioning

confidence: 99%

Advanced Frequency Control Technique Using GTO with Balloon Effect for Microgrids with Photovoltaic Source to Lower Harmful Emissions and Protect Environment

Hussein,

Hamid,

Mohamed

et al. 2024

Sustainability

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Renewable energy (RE) resources such as wind and PV solar power are crucial for transitioning to carbon-free and sustainable energy systems, especially for agricultural and domestic applications in the desert and rural areas. However, implementing RE resources may lead to frequency penetrations, especially in isolated microgrids (µGs). This study proposes an adaptive load frequency control (LFC) technique for power systems. An integral controller can be tuned online using an artificial gorilla troops optimization algorithm (GTO), which is supported using a balloon effect (BE) identifier. Adaptive control is used to control the system frequency in case of variable loads and fluctuation due to 6 MW photovoltaic (PV). Three other optimization methods have been compared with the GTO + BE technique, namely the Grey Wolf Optimization method (GWO), the standard artificial gorilla troops optimization (GTO) and the Jaya technique. Digital simulation tests approved the efficiency of (GTO + BE) during system difficulties such as load disturbance and system parameter variations. In addition, the same test conditions have been repeated using a real-time simulation platform. The real-time simulation results supported the digital outcomes.

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“…The intermittency of RESs prevents us from being employed as a sole source of power generation. As a result, it is common practice to deploy controllable energy storage technologies (ESTs) in conjunction with RESs [ 2 , 4 ]. From the perspective of energy production, the thermal power that formerly predominated will eventually decline and the part of RESs will increasingly rise.…”

Section: Introductionmentioning

confidence: 99%

Adaptive frequency control in smart microgrid using controlled loads supported by real-time implementation

et al. 2023

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The operation of the system’s frequency can be strongly impacted by load change, solar irradiation, wind disturbance, and system parametric uncertainty. In this paper, the application of an adaptive controller based on a hybrid Jaya-Balloon optimizer (JBO) for frequency oscillation mitigation in a single area smart μG system is studied. The proposed adaptive control approach is applied to control the flexible loads such as HPs and EVs by using the JBO which efficiently controls the system frequency. The suggested technique uses the power balance equation to provide a dynamic output feedback controller. The main target is to regulate the frequency and power of an islanded single area μG powered by a PV and a diesel generator with integrations of smart bidirectional loads (HPs and EVs) that are controlled by the proposed adaptive controller in presence of electrical random loads. Moreover, the JBO is designed to minimize the effect of the system load disturbance and parameter variations. For a better assessment, the proposed controller using JBO technique is compared with two other methods which are the coefficient diagram method (CDM) and adaptive one using classical the Jaya technique. In the obtained results, the frequency deviation is found as 0.0015 Hz, which is fully acceptable and in the range of the IEEE standards. The MATLAB simulation results reveal that the suggested technique has a substantial advantage over other techniques in terms of frequency stability in the face of concurrent disturbances and parameter uncertainties. The real-time simulation tests are presented using a dSPACE DS1103 connected to another PC via QUARC pid_e data acquisition card and confirmed the MATLAB simulation results.

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Real-time detection of microgrid islanding considering sources of uncertainty using type-2 fuzzy logic and PSO algorithm

Cited by 8 publications

References 39 publications

A stochastic numerical approach for a class of singular singularly perturbed system

A stochastic numerical approach for a class of singular singularly perturbed system

Advanced Frequency Control Technique Using GTO with Balloon Effect for Microgrids with Photovoltaic Source to Lower Harmful Emissions and Protect Environment

Adaptive frequency control in smart microgrid using controlled loads supported by real-time implementation

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