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Frequency Regulation of Interconnected Power System Using Black Widow Optimization

Preeti Dahiya, Akshay Kumar Saha

2022IEEE Access46 citationsDOIOpen Access PDF

Abstract

A frequency regulation of interconnected power system comprising thermal reheat system and photovoltaic panel systems is disclosed in this research article with Proportional Integral Derivative (PID) controller optimized using Black Widow Optimization Algorithm (BWOA) based on distinct feature of cannibalism of black widow spiders. With rising demand for perfectly optimized power systems, a best optimal solution for controller gains besides merit of faster convergence and avoidance of trapping in local minimal are becoming key requirements for system engineers. In tune with these requirements, we have developed an optimized solution based on BWOA in the power system realm to minimize the fitness function which is Integral Time Absolute Error composing of frequency and tie-line power variations. Superiority of BWOA optimized controller in power system realm is established by comparing and analyzing its simulation results with some other known tuned controllers which uses different optimization algorithms namely firefly algorithm, genetic algorithm, whale optimization algorithm and modified whale optimization algorithm. Results in this paper lays out that BWOA optimized PID controller outperforms other reported controllers in terms of fitness function value, settling time, undershoot/overshoot of the incremental variations in frequency and tie-line power of the interconnected power system. Further, the potency and robustness of the proposed tuned controller are also proven by considering large variation in load demand, real-time constraints namely generation rate constraint and governor dead band in the system. Additionally, the sensitivity analysis of the optimized controlled system is performed to conclude that the proposed BWOA optimized PID controller optimized controller is insensitive to changes in system parameters and eliminates the necessity of resetting of controller parameters. The performance of the proposed control technique is also tested on two-area non-reheat thermal power system with non-linear constraints namely time delay, generation rate constraint and governor deadband.

Topics & Concepts

Control theory (sociology)PID controllerElectric power systemOvershoot (microwave communication)Settling timeComputer scienceAutomatic frequency controlAutomatic Generation ControlController (irrigation)Robustness (evolution)Particle swarm optimizationFitness functionGenetic algorithmPower (physics)EngineeringControl engineeringTemperature controlStep responseAlgorithmTelecommunicationsMachine learningBiologyArtificial intelligenceGeneControl (management)AgronomyPhysicsQuantum mechanicsChemistryBiochemistryFrequency Control in Power SystemsMicrogrid Control and OptimizationWind Turbine Control Systems
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