Hybrid African Vulture Optimization Algorithm and Pattern Search Tuned Fractional Order PID Controller for AGC of Electric Vehicles Integrated Power Systems.

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Bibliographic Details
Title:	Hybrid African Vulture Optimization Algorithm and Pattern Search Tuned Fractional Order PID Controller for AGC of Electric Vehicles Integrated Power Systems.
Authors:	Dash, Pabitra Mohan^1,2,3 pmdash.bbsr@gmail.com, Baliarsingh, Asini Kumar^1,2,3 asinikumar333@gmail.com, Mohapatra, Sangram Keshori^1,2,3 sangram.muna.76@gmail.com
Source:	International Journal on Electrical Engineering & Informatics. Jun2023, Vol. 15 Issue 2, p259-276. 18p.
Subjects:	Optimization algorithms, Electric controllers, PID controllers, Search algorithms, Electric vehicles, Gas power plants
Abstract:	Continuous varying load demand conditions in modern power systems causes frequency variations. Hence, an intelligent controller is necessary for frequency regulation. In this paper, a hybrid African Vulture Optimization Algorithm and Pattern Search (hAVOA-PS) based Fractional Order PID controller with derivative Filter (FOPIDF) is suggested for Automatic Generation Control (AGC) of Electric Vehicles (EVs) integrated power systems. Proposed hAVOA-PS algorithm is first tested using four bench mark test functions and compared with original African Vulture Optimization Algorithm (AVOA), Differential Evolution (DE), Gravitational Search Algorithm (GSA), Particle Swarm Optimization (PSO) to show its superiority. The proposed technique is then used to tune various conventional controllers in a single area three-unit power system consisting of thermal hydro and gas power plants for AGC. The superiority of proposed hAVOA-PS algorithm over some recently proposed frequency control approaches has been demonstrated. In the next step, different controllers like PI, PID, and FOPIDF are taken and EVs are integrated in the power system. The proposed approach is also extended to a two-area six-unit power system. It is observed that EVs contribute to control system frequency in presence of load disturbance. [ABSTRACT FROM AUTHOR]
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Database:	Engineering Source

Description
Abstract:	Continuous varying load demand conditions in modern power systems causes frequency variations. Hence, an intelligent controller is necessary for frequency regulation. In this paper, a hybrid African Vulture Optimization Algorithm and Pattern Search (hAVOA-PS) based Fractional Order PID controller with derivative Filter (FOPIDF) is suggested for Automatic Generation Control (AGC) of Electric Vehicles (EVs) integrated power systems. Proposed hAVOA-PS algorithm is first tested using four bench mark test functions and compared with original African Vulture Optimization Algorithm (AVOA), Differential Evolution (DE), Gravitational Search Algorithm (GSA), Particle Swarm Optimization (PSO) to show its superiority. The proposed technique is then used to tune various conventional controllers in a single area three-unit power system consisting of thermal hydro and gas power plants for AGC. The superiority of proposed hAVOA-PS algorithm over some recently proposed frequency control approaches has been demonstrated. In the next step, different controllers like PI, PID, and FOPIDF are taken and EVs are integrated in the power system. The proposed approach is also extended to a two-area six-unit power system. It is observed that EVs contribute to control system frequency in presence of load disturbance. [ABSTRACT FROM AUTHOR]
ISSN:	20856830
DOI:	10.15676/ijeei.2023.15.2.6