Investigation of Applicability of Artificial Bee Colony Algorithm on Rainfall Intensity Duration Frequency Equations

ZEYBEKOĞLU, Utku; KESKİN, Aslı ÜLKE

doi:10.12911/22998993/125458

Cited by 2 publications

(6 citation statements)

References 3 publications

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“…Moreover, the IAE does not provide the true error indexing as it does not consider the time factor. Mathematically, the ITAE is defined as per Equation (15).…”

Section: Optimal Fitness Functionmentioning

confidence: 99%

“…Figure 7 and Table 2 verify that the IWOA-AVR system offers the closest solution to the optimum amongst all studied algorithms for the same cause. For example, the IWOAbased AVR model provide 6.30941%, 70.9013%, 49.1984%, 68.2005%, 61.7709%, 38.3969%, 53.4354% and 43.2469% less overshoot than WOA, DE [15], PSO [9], PSO [15], ABC [15], BBO [16], GOA [17] and PSA [18] respectively. Therefore, the proposed optimization algorithm-based AVR design duly authenticates its superior performance over the other well-known algorithm-based studies for the identical system parameters.…”

Section: Dynamic Response Assessmentmentioning

confidence: 99%

“…Hence, PSO may not be a good choice when dealing with modern optimization problems [14]. Some of the familiar optimization techniques such as artificial bee colony (ABC) [15], biography-based optimization (BBO) [16], grasshopper optimization algorithm (GOA) [17] and pattern search algorithm (PSA) [18] have also been utilized in recent literature to attain an optimal transient response of the AVR system. Most recently, in July 2019, Mosaad et al [19] studied the optimal design of the AVR by using the whale optimization algorithm (WOA).…”

Section: Introductionmentioning

confidence: 99%

“…Comparative analysis of the dynamic response.Figure7and Table2verify that the IWOA-AVR system offers the closes the optimum amongst all studied algorithms for the same cause. For example based AVR model provide 6.30941%, 70.9013%, 49.1984%, 68.2005%, 61.7709% 53.4354% and 43.2469% less overshoot than WOA, DE[15], PSO[9], PSO[15 …”

mentioning

confidence: 97%

“…Comparative analysis of the proposed IWOA-based AVR design with other well-known techniques used in the recent literature. DE-PID[15], PSO-PID[9], ABC-PID[15], BBO-PID[16], GOA-PID[17], PSA-PID[18].…”

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confidence: 99%

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Improved Whale Optimization Algorithm for Transient Response, Robustness, and Stability Enhancement of an Automatic Voltage Regulator System

et al. 2022

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The proportional integral derivative (PID) controller is one of the most robust and simplest configuration controllers used for industrial applications. However, its performance purely depends on the tuning of its proportional (KP), integral (KI) and derivative (KD) gains. Therefore, a proper combination of these gains is primarily required to achieve an optimal performance of the PID controllers. The conventional methods of PID tuning such as Cohen-Coon (CC) and Ziegler–Nichols (ZN) generate unwanted overshoots and long-lasting oscillations in the system. Owing to the mentioned problems, this paper attempts to achieve an optimized combination of PID controller gains by exploiting the intelligence of the whale optimization algorithm (WOA) and one of its recently introduced modified versions called improved whale optimization algorithm (IWOA) in an automatic voltage regulator (AVR) system. The stability of the IWOA-AVR system was studied by assessing its root-locus, bode maps, and pole/zero plots. The performance superiority of the presented IWOA-AVR design over eight of the recently explored AI-based approaches was validated through a comprehensive comparative analysis based on the most important transient response and stability metrics. Finally, to assess the robustness of the optimized AVR system, robustness analysis was conducted by analyzing the system response during the variation in the time constants of the generator, exciter, and amplifier from −50% to 50% range. The results of the study prove the superiority of the proposed IWOA-based AVR system in terms of transient response and stability metrics.

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“…Moreover, the IAE does not provide the true error indexing as it does not consider the time factor. Mathematically, the ITAE is defined as per Equation (15).…”

Section: Optimal Fitness Functionmentioning

confidence: 99%

Section: Dynamic Response Assessmentmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 97%

mentioning

confidence: 99%

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Improved Whale Optimization Algorithm for Transient Response, Robustness, and Stability Enhancement of an Automatic Voltage Regulator System

et al. 2022

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Comparison of the performances of heuristic optimization algorithms PSO, ABC and GA for parameter estimation in the discharge processes of Li-NMC battery

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Alçı

2022

Journal of Energy Systems

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The effects of the studies performed for the development of cells, which are the fundamental components of electrochemical battery units are felt in many different areas such as electric rail transportation systems, battery-based energy storage systems, battery units in electric vehicles, and energy storage units for individual use. For this goal, studies conducted by other searchers in the similar field have been investigated. In this paper, optimization techniques are used to guess the model parameters with major righteousness using the electrical equivalent circuit model of the battery. The discharge processes of the 18650 cylindrical type 2000 mAh Li-NCM battery cell with 1 A pulsed constant current at 25 ºC have been investigated. The real parameter values obtained have been transferred to the electrical equivalent circuit model. The open circuit voltage is determined as a functional term depending on the state of current supply level by using the curve fitting method in the Matlab. Studies have been carried out on particle swarm optimization algorithm, artificial bee colony algorithm, and genetic algorithm to estimate the battery output terminal voltage by using the open circuit voltage. Comparisons have been made and differences have been analyzed between the technics by using different statistical methods of true error values, the correct prediction ability, and response speed. As a result, the optimization method that makes the most accurate estimation has been determined.

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Investigation of Applicability of Artificial Bee Colony Algorithm on Rainfall Intensity Duration Frequency Equations

Cited by 2 publications

References 3 publications

Improved Whale Optimization Algorithm for Transient Response, Robustness, and Stability Enhancement of an Automatic Voltage Regulator System

Improved Whale Optimization Algorithm for Transient Response, Robustness, and Stability Enhancement of an Automatic Voltage Regulator System

Comparison of the performances of heuristic optimization algorithms PSO, ABC and GA for parameter estimation in the discharge processes of Li-NMC battery

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