Design and Implementation of Whale Optimization Algorithm Based PIDF Controller for AGC Problem in Unified System

Satapathy, Priyambada; Mishra, Sakti Prasad; Sahu, Binod Kumar; Debnath, Manoj Kumar; Mohanty, Pradeep Kumar

doi:10.1007/978-981-13-1936-5_85

Cited by 3 publications

(4 citation statements)

References 16 publications

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“…In the exploitation process, the position of the humpback whale is updated based on the location of the prey using a bubble-net attacking strategy. In this strategy, the movement towards the prey is performed by two mechanisms (Satapathy et al, 2018). The first one is the shrinking encircling mechanism.…”

Section: Solution Approachmentioning

confidence: 99%

Comparative study of whale optimization algorithm and flower pollination algorithm to solve workers assignment problem

Al-Khazraji

2022

Int. J. Prod. Manag. Eng.

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Many important problems in engineering management can be formulated as Resource Assignment Problem (RAP). The Workers Assignment Problem (WAP) is considered as a sub-class of RAP which aims to find an optimal assignment of workers to a number of tasks in order to optimize certain objectives. WAP is an NP-hard combinatorial optimization problem. Due to its importance, several algorithms have been developed to solve it. In this paper, it is considered that a manager is required to provide a training course to his workers in order to improve their level of skill or experience to have a sustainable competitive advantage in the industry. The training cost of each worker to perform a particular job is different. The WAP is to find the best assignment of workers to training courses such that the total training cost is minimized. Two metaheuristic optimizations named Whale Optimization Algorithm (WOA) and Flower Pollination Algorithm (FPA) are utilized to final the optimal solution that reduces the total cost. MATLAB Software is used to perform the simulation of the two proposed methods into WAP. The computational results for a set of randomly generated problems of various sizes show that the FPA is able to find good quality solutions.

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Section: Solution Approachmentioning

confidence: 99%

Comparative study of whale optimization algorithm and flower pollination algorithm to solve workers assignment problem

Al-Khazraji

2022

Int. J. Prod. Manag. Eng.

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“…Remark 6: It should be noted that as both the areas in the twoarea system are similar so controllers parameters for both the areas are considered to be of equal value. However, in a more general situation to get an optimal solution for a given case they can be considered to have different values as taken in [34]. Also when GNA is applied by taking different value of controller gains, the obtained values are (K P1 = 5.7915, K I1 = 6.6837, K D1 = 2.7178, N 1 = 362.2206, K P2 = 1.0135, K I2 = 4.1089, K D2 = 4.5755, N 2 = 181.0972), when these were compared with that obtained in [34], controller obtained through the proposed algorithm gives better results.…”

Section: Two-area Lfc Systemmentioning

confidence: 99%

Event‐triggered based decentralised control for frequency regulation of power systems

Dahiya

Mukhija

Saxena

2020

IET Generation, Transmission & Distribution

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“…Using time domain simulations, the efficiency and dominance of the proposed WOA tuned PIDF controller are compared to the Jaya-based PIDF controller (Satapathy et al 2018). 20 The genetic algorithm (GA) and the fully informed particle swarm (FIPS) are combined in Sebt et al 21 to solve the multimode resourceconstrained project scheduling problem (MRCPSP), with the goal of minimizing project make span while taking into account resource and precedence restrictions. FIPS is a common variant of the particle swarm optimization algorithm in the proposed hybrid genetic algorithm-fully informed particle swarm algorithm (HGFA).…”

Section: Introductionmentioning

confidence: 99%

“…The controller’s performance is modeled using the MATLAB Simulink module. Using time domain simulations, the efficiency and dominance of the proposed WOA tuned PIDF controller are compared to the Jaya‐based PIDF controller (Satapathy et al 2018) 20 . The genetic algorithm (GA) and the fully informed particle swarm (FIPS) are combined in Sebt et al 21 to solve the multimode resource‐constrained project scheduling problem (MRCPSP), with the goal of minimizing project make span while taking into account resource and precedence restrictions.…”

Section: Introductionmentioning

confidence: 99%

Introducing thermoelectric generator concept to energy internet approach of electrical power system: Modeling analysis and assessment

Satapathy

Mohanty

Sahu

et al. 2022

Intl J of Energy Research

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Summary With increase in environmental concerns, the idea of generating pollution‐free electricity like solar photovoltaic energy (SPV) is explored among researchers and industrialists. Despite the fact that photovoltaic is a direct and simple method of power production, it has lesser effectiveness in terms of quantum effect. The incident solar irradiance on the surface of the photovoltaic module heats the rear side of the module during the process of heat to electricity conversion giving rise to heating of the module and hence, rises its temperature. Nevertheless, when integration of solar PV system takes place, it suffers from the curse of being lower quantum efficient. Diverse integration of renewable sources makes the system complex, making regulating system parameters a difficult task; to avoid this, the system has been studied under incorporation of thermo electric generator (TEG) along with fuel cell technology (FCT) and in absence of TEG. This combined hybrid system generates substantial amount of electricity, which is helpful for residential application as well as to the utility. Nevertheless, the proposed system has only dc sources in order to make the system more reliable in terms of conversion, controlling, and feeding to the utility. Therefore, in this article, two systems have been studied and modeled, one is incorporated with TEG and another is without TEG. The performances of both the systems have been compared and analyzed on the basis of delivering real power and absorbing reactive power. It is evident from the study that the solar PV system with TEG has the ability of maintaining constant voltage at PCC terminals, absorbing lesser amount of reactive power and consequently delivering ample amount of real power without much complexity such as controlling of AC sources and grid activity. Around 41.0534% of higher real power has been supplied, and around 22.14% of lesser reactive power has been absorbed during the incorporation of TEG with this aforementioned hybrid system. On MATLAB‐based Simulink environment, the entire system has been studied, designed, and analyzed.

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Design and Implementation of Whale Optimization Algorithm Based PIDF Controller for AGC Problem in Unified System

Cited by 3 publications

References 16 publications

Comparative study of whale optimization algorithm and flower pollination algorithm to solve workers assignment problem

Comparative study of whale optimization algorithm and flower pollination algorithm to solve workers assignment problem

Event‐triggered based decentralised control for frequency regulation of power systems

Introducing thermoelectric generator concept to energy internet approach of electrical power system: Modeling analysis and assessment

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