Multi objective genetic algorithm controller's tuning for non-linear automatic voltage regulator

Khedr, Shaimaa F. Mohamed; Ammar, Mohammed E.; Hassan, Mohamed

doi:10.1109/codit.2013.6689655

Cited by 10 publications

(5 citation statements)

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“…Nowadays different algorithms are used to design the AVRs and improve the performance of these devices, some of these algorithms and a comparison between classic design methods and new design methods are explained in more details in [123][124][125][126][127][128].…”

Section: Automatic Voltage Regulator (Avr)mentioning

confidence: 99%

An overview of power quality enhancement techniques applied to distributed generation in electrical distribution networks

Naderi

Hosseini

Zadeh

et al. 2018

Renewable and Sustainable Energy Reviews

119

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-It is obvious that power quality is an important characteristic of today's distribution power systems as loadsbecome more sensitive on the other hand nonlinear loads are increasing in the electrical distribution system. Considering the distributed nature of harmonic loads, the need for distributed power quality improvement (PQI) is inevitable. From years ago, researchers have been working on various kinds of filters and devices to enhance the overall power quality of power system, but today the nature of distribution system has been changed and power electronic based DGs play an important role in distribution grids. In this paper, a thorough survey is done on power quality enhancement devices with emphasis on ancillary services of multi-functional DGs. A literature review is also done on microgrids concept, testbeds and related control methods. Although there were some applications of DGs for PQI improvement these applications were not defined multi-functional DGs. Various control methods are studied and categorized regarding different viewpoints in the literature. Finally, a couple of thorough comparisons are done between the available techniques considering the nature, capabilities, advantages and implementation costs.

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Section: Automatic Voltage Regulator (Avr)mentioning

confidence: 99%

An overview of power quality enhancement techniques applied to distributed generation in electrical distribution networks

Naderi

Hosseini

Zadeh

et al. 2018

Renewable and Sustainable Energy Reviews

119

View full text Add to dashboard Cite

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“…The transfer function of these components may be represented, respectively, as shown in equations (9), (10), (11) and (12). The block diagram of the AVR system with a PID-controller [15] is shown in figure (7).…”

Section: Automatic Voltage Regulatormentioning

confidence: 99%

“…In [6], a comparison between different methods, based on fuzzy logic, for the tuning of PID controllers is presented. The performance of genetic algorithm-tuned fuzzy logic like PID, genetic algorithm-tuned ANN like PID and genetic algorithm-tuned fuzzy like PID using adaptive neuron fuzzy inference system (ANFIS) were investigated in [7]. Adaptive genetic algorithms (AGA) are proposed in [8] as a method for PID optimization.…”

Section: Introductionmentioning

confidence: 99%

Tuning PID Controllers Using Artificial Intelligence Techniques

Salem

Mustafa²,

Ammar

2014

The International Conference on Electrical Engineering

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“…Similar to P&O, the modified P&O is available by modifying the perturbation size by fixing the threshold value (Ahmed and Salam, 2016). Various MPPT algorithms include the Weed Optimization (Pradhan et al , 2020), Fuzzy Logic Controller (FLC) (Jemaa et al , 2018), Swarm Intelligence (SI), hybrid controllers, Artificial Intelligence networks, Genetical Algorithm (GA) (Yousaf et al , 2020; Khedr, 2013) and more upcoming algorithms (Yung et al , 2020). The fuzzy elephant herding optimization strategy for the MPP tracker is another effective way (Veeramanikandan and Selvaperumal, 2020).…”

Section: Introductionmentioning

confidence: 99%

Radial basis function neural network MPPT controller-based microgrid for hybrid stand-alone energy system used for irrigation

Murugan

Rajesh

2023

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Purpose The main purpose of this controller is to carryout irrigation by the farmers with renewable energy resources. Design/methodology/approach The proposed design includes the Deep learning based intelligent stand-alone energy management system used for irrigation purpose. The deep algorithm applied here is Radial basis function neural network which tracks the maximum power, maintains the battery as well as load system. Findings The Radial Basis Function Neural Network algorithm is used for carrying out the training process. In comparison with other conventional algorithms, this algorithm outperforms by higher efficiency and lower tracking time without oscillation. Research limitations/implications It is little complex to implement the hardware setup of neural network in terms of training process but the work is under progress. Practical implications The practical hardware implementation is under progress. Social implications If controller are implemented in a real-time environment, definitely it helps the human-less farming and irrigation process. Originality/value If this system is implemented in real-time environment, every farmer gets benefitted.

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Multi objective genetic algorithm controller's tuning for non-linear automatic voltage regulator

Cited by 10 publications

References 1 publication

An overview of power quality enhancement techniques applied to distributed generation in electrical distribution networks

An overview of power quality enhancement techniques applied to distributed generation in electrical distribution networks

Tuning PID Controllers Using Artificial Intelligence Techniques

Radial basis function neural network MPPT controller-based microgrid for hybrid stand-alone energy system used for irrigation

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