Optimized PID controller using Archimedes optimization algorithm for transient stability enhancement

Hemeida, Mahmoud G.; Osheba, Dina S. M.; Alkhalaf, Salem; Fawzy, Asmaa; Ahmed, Mahrous; Roshdy, Mohamed

doi:10.1016/j.asej.2023.102174

Cited by 11 publications

(2 citation statements)

References 44 publications

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“…Ref [2] used Firefly Algorithm to tune the parameters of PIDbased PSS controller for two cases of parametric bounds. Various other algorithms have been also used like Chaotic Particle Swarm Optimization (CPSO) [3], Kho-Kho Optimization [4], Search and Rescue Algorithm [5], Cuckoo Search Algorithm [6], Fuzzy Particle Swarm Optimization [7], Henry Gas Solubility Optimization [8], Farmland Fertility Algorithm [9], Differential Evolution Algorithm [10], [11], Ant Colony Optimization [12], Sine Cosine Algorithm [13], Particle Swarm Optimization [14], Archimedes Optimization Algorithm [15], Water Cycle Moth-Flame Optimization [16], Immune Genetic Algorithm [17], etc. Jaya algorithm have been used in solving a number of engineering optimization problems.…”

Section: Review Of Related Literaturementioning

confidence: 99%

Optimized Proportional Integral Derivative Based Power System Stabilizer Using Jaya Algorithm for Angular Stability Enhancement

Aondoungwa,

Ibitayo

2024

JERR

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This study presents an optimized Proportional Integral Derivative Based Power System Stabilizer (PIDPSS) using Jaya Algorithm for angular stability enhancement. Jaya algorithm introduced by Rao, is an optimization technique with few control parameters which is used to minimize the objective function F(K). The modeling and simulation were done using Matlab /Simulink software version R2021b on IEEE 14-Bus system and Single Machine Infinite Bus (SMIB). A three-phase fault was introduced into the network at system runtime of 5s with a fault clearing time of 0.1s. The result of the simulation of the IEEE 14 Bus system showed a 74% and 24% reduction in overshoot time of speed deviation for generators 1 and 2, with settling times of 2.5s and 4s, respectively, in the presence of PIDPSS. The load angle experienced a 14% and 19% reduction in overshoot with settling times of 2s and 2.5s, respectively in the presence of PIDPSS for generators 1 and 2, respectively. The Electrical Power result showed 27% and 6% reduction in overshoot time as well as settling times of 2.5s and 4s, respectively, for generator 1 and 2 in the presence of PIDPSS. The result of the simulation of SMIB system also showed a 25% reduction in overshoot time in relation to deviation speed at a settling time of 4s in the presence of PIDPSS. The Load Angle showed- a 13% decrease in overshoot time at 2s settling time in the presence of PIDPSS. Also, the Electrical Power result highlighted a 15% drop-in overshoot time and settles within 2s. These results affirms that the PIDPSS introduced improved overall system stability.

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Section: Review Of Related Literaturementioning

confidence: 99%

Optimized Proportional Integral Derivative Based Power System Stabilizer Using Jaya Algorithm for Angular Stability Enhancement

Aondoungwa,

Ibitayo

2024

JERR

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“…Finally, the WOA adjusts the hyperparameter values of the FWNN model. The WOA is a metaheuristic approach based on humpback whales which have special hunting behaviours used to swim around their target in a shrinking circle which takes a spiral shape and makes bubble-net [21]. WOA mainly comprises exploitation and exploration phases.…”

Section: Hyperparameter Tuningmentioning

confidence: 99%

Whale Optimization Algorithm with Fuzzy Wavelet Neural Network for Pneumonia Detection and Classification

Parthasarathy V.

2023

IJRITCC

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Pneumonia detection and classification are a vital medical imaging task that purposes to automatically recognize and classify pneumonia-related abnormalities in chest radiographs or Chest X-Ray (CXR) imaging. Accurate and prior identification of pneumonia is important for suitable treatment and recovering patient results. The main drive is to recognize whether an X-ray image indicates the presence of pneumonia or not. A binary classification techniuqe is trained to distinguish normal and pneumonia X-rays. Deep Learning (DL) approaches are revealed major success in automating this process, assisting healthcare specialists in analyzing pneumonia more effectively. This article presents a Whale Optimization Algorithm with Fuzzy Wavelet Neural Network for Pneumonia Detection and Classification (WOAFWNN-PDC) technique on CXRs. The purpose of the WOAFWNN-PDC technique is to apply optimal DL approaches for the recognition and classification of pneumonia. In the presented WOAFWNN-PDC technique, Gaussian Filtering (GF) approach is used for the noise removal process. In addition, the MobileNetv3 model is utilized for the feature extraction method. Moreover, the FWNN technique was applied to the classification of pneumonia. Finally, the WOA can be executed for an optimum selection of the parameters related to the FWNN approach. The simulation value of the WOAFWNN-PDC algorithm was assessed on a benchmark medical database. The comparative analysis exhibits better results than the WOAFWNN-PDC technique.

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Optimization of the different controller parameters via OBL approaches based artificial ecosystem optimization involving fitness distance balance guiding mechanism for efficient motor speed regulation of DC motor

Isen,

Duman

2024

Soft Comput

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This study proposes a new optimization approach, which is called as artificial ecosystem optimization algorithm with fitness-distance balance guiding mechanism by using opposite based learning methods (FDBAEO_OBLs) for the speed regulation of direct current (DC) motor. The performance of the proposed FDBAEO_OBL algorithm is tested in two different experimental studies. In the first experimental study, the proposed approach is tested in the CEC2020 benchmark test functions and the FDBAEO algorithm, which included the best OBL approach, is determined using non-parametric Wilcoxon and Friedman statistical analysis methods. Second, the parameters of proportional integral derivative (PID), tilt integral derivative (TID), proportional integral derivative with filter (PIDF), tilt integral derivative with filter (TIDF), fractional-order proportional integral derivative (FOPID), fractional-order proportional integral derivative with filter (FOPIDF), proportional integral derivative with fractional-order filter (PIDFF) and fractional-order proportional integral derivative with fractional-order filter (FOPIDFF) controller structures to be used in DC motor closed loop speed control are determined with FDBAEO_OBL, and the performances of the controllers are investigated. Integral absolute error (IAE), integral time absolute error (ITAE), integral time squared error (ITSE) and integral squared error (ISE) performance indices are used as the objective function of the operation process in which the control parameters are determined. According to the comparative step response results of the controller structures, the four best controller structures for DC motor speed regulation are determined. The performances of these controllers are examined under different simulation conditions and according to the results obtained, it is seen that the best controller structure is FOPIDFF. The FDBAEO_OBL algorithm, which is used in both benchmark test functions and DC motor speed regulation, shows an effective, durable and superior performance in finding the optimal solution values during the optimization.

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Optimized PID controller using Archimedes optimization algorithm for transient stability enhancement

Cited by 11 publications

References 44 publications

Optimized Proportional Integral Derivative Based Power System Stabilizer Using Jaya Algorithm for Angular Stability Enhancement

Optimized Proportional Integral Derivative Based Power System Stabilizer Using Jaya Algorithm for Angular Stability Enhancement

Whale Optimization Algorithm with Fuzzy Wavelet Neural Network for Pneumonia Detection and Classification

Optimization of the different controller parameters via OBL approaches based artificial ecosystem optimization involving fitness distance balance guiding mechanism for efficient motor speed regulation of DC motor

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