JAYA Algorithm-Optimized Load Frequency Control of a Four-Area Interconnected Power System Tuning Using PID Controller

Pahadasingh, Sunita; Jena, Chitralekha; Panigrahi, Chinmoy Kumar; Ganthia, Bibhu Prasad

doi:10.48084/etasr.4891

Cited by 4 publications

(3 citation statements)

References 17 publications

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“…Because the system has no memory constraints, it can be utilized to store as much data as needed and remember it during its applications [26]- [28]. Because of the high-efficiency feature, a highly efficient output is obtained if the knowledge base is updated with appropriate knowledge, which may not be possible with a human [29]- [30]. If the knowledge obtained is delivered to the expert system, it is used to deliver an output with high efficiency by integrating all of the facts & knowledge according to the feature of expertise in a domain [31].…”

Section: Expert Systemmentioning

confidence: 99%

Artificial Neural Network Optimized Load Forecasting of Smartgrid using MATLAB

Ganthia,

Mohanty,

Mohapatra

et al. 2023

Control Syst. Optim. Lett.

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The motivation behind the research is the requirement of error-free load prediction for the power industries in India to assist the planners in making important decisions on unit commitments, energy trading, system security reliability, and optimal reserve capacity. The objective is to produce a desktop version of a personal computer-based complete expert system that can be used to forecast the future load of a smart grid. Using MATLAB, we can provide adequate user interfaces in graphical user interfaces. This paper devotes a study of load forecasting in smart grids, a detailed study of the architecture and configuration of Artificial Neural Network (ANN), Mathematical modeling and implementation of ANN using MATLAB, and a detailed study of load forecasting using the backpropagation algorithm.

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Section: Expert Systemmentioning

confidence: 99%

Artificial Neural Network Optimized Load Forecasting of Smartgrid using MATLAB

Ganthia,

Mohanty,

Mohapatra

et al. 2023

Control Syst. Optim. Lett.

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“…When confronted with LFC stressful events, many recent responses were supplied that allowed us to improve the dynamic behavior of the system. Different optimization techniques are evaluated in [21][22][23][24][25][26][27].…”

Section: Introductionmentioning

confidence: 99%

Application of a TID Controller for the LFC of a Multi Area System using HGS Algorithm

Kumar

Narayana

Gowd

2023

Eng. Technol. Appl. Sci. Res.

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A Tilt Integral Derivative (TID) controller is designed in this paper for the Load Frequency Control (LFC) issue of a multi-area interconnected restructured power system. The suggested TID controller settings are fine-tuned using a novel optimization technique known as Hunger Games Search (HGS) algorithm. A multi-area interconnected power system with various generating units is used to test the performance of the proposed TID controller based on HGS. The suggested controller also takes into account system non-linearities such as Generation Rate Constraints (GRCs) and Governor Dead Band (GDB). The superiority of HGS's optimization over a range of other significant optimization techniques, such as the grey-wolf optimization algorithm, has been confirmed. The simulation results show that the proposed TID controller based on HGS improves system frequency stability significantly under a variety of load perturbation scenarios.

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“…Most of these optimization methods are complex and require large number of variables but Jaya designed has proved to better than other algorithms (22) . Converging the sturdy searching and quick moving ability with a smaller number of variables consideration is the beauty of this algorithm (23,24) .…”

Section: Introductionmentioning

confidence: 99%

A Novel Jaya Based Automatic Generation Control of Two Area Interconnected Power System with nonlinearity

Gupta¹,

Arora²

2022

IJST

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Background: This paper presents a novel approach to design and optimize Proportional-Integral-Derivative (PID) controller for Automatic Generation Control (AGC) of two-area interconnected power system with different energy sources. Methods: The two area interconnected power system consists of thermal, hydro and wind energy sources in the area-1 and area-2 comprises thermal, hydro and diesel energy sources. The recently developed Jaya Optimization technique is explored to optimize PID controller parameters for the interconnected power system by Matlab. Findings: The dynamic responses of power system is studied including the non-linearities like Governor Dead band (GDB), Generation Rate Constraint (GRC) and boiler dynamics under 1% step load perturbation. Novelty and applications The beauty of Jaya algorithm is that it works with only few control parameters as compared with other algorithms which help in improving dynamic responses and performance values of power system with non-linearities. Hence, the frequency stability is achieved at faster convergence at loads. The comparative analysis of proposed technique with other techniques like Differential Evolution (DE) algorithm and Teaching Learning Based Optimization (TLBO) algorithm for the same power system justify the effectiveness of proposed approach.

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JAYA Algorithm-Optimized Load Frequency Control of a Four-Area Interconnected Power System Tuning Using PID Controller

Cited by 4 publications

References 17 publications

Artificial Neural Network Optimized Load Forecasting of Smartgrid using MATLAB

Artificial Neural Network Optimized Load Forecasting of Smartgrid using MATLAB

Application of a TID Controller for the LFC of a Multi Area System using HGS Algorithm

A Novel Jaya Based Automatic Generation Control of Two Area Interconnected Power System with nonlinearity

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