University of Bahrain
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Frequency Regulation in AC Microgrid with and without Electric Vehicle Using Multiverse-Optimized Fractional Order- PID controller

Show simple item record Singh, Amandeep Suhag, Sathans 2019-06-16T10:08:02Z 2019-06-16T10:08:02Z 2019-07-01
dc.identifier.issn 2210-142X
dc.description.abstract This paper presents the design and implementation of a novel control scheme for frequency regulation in an AC microgrid, subjected to varying operating conditions, using fractional order proportional integral derivative (FOPID) controller with its parameters optimized employing multi-verse optimizer (MVO) evolutionary algorithm. For the comparative analysis, proportional integral derivative (PID) and fractional order proportional integral (FOPI) controllers, both optimally tuned using MVO, are also implemented. Further, the impact of electric vehicle (EV) on system performance is analyzed. Integral of time multiplied absolute error (ITAE) is considered as the cost function in the optimization process whereas, the settling time and peak undershoot serve as the performance indices and a step change in load is taken as the perturbation. The proposed control scheme is tested for robustness against system parametric changes in the range of ± 25 besides random step load varying both in magnitude and time scale. The proposed MVO optimized FOPID controller outperforms other control schemes implemented in this work and proves to be very effective in frequency regulation in the AC microgrid comprising the renewable energy sources (RESs), diesel engine generator (DEG), and the energy storage systems (ESS). System Modeling and simulations are performed in MATLAB/Simulink. en_US
dc.language.iso en_US en_US
dc.publisher University of Bahrain en_US
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International *
dc.rights.uri *
dc.subject MVO en_US
dc.subject AC Microgrid en_US
dc.subject Frequency Regulation en_US
dc.subject Renewable Energy Sources en_US
dc.subject Electric Vehicle en_US
dc.title Frequency Regulation in AC Microgrid with and without Electric Vehicle Using Multiverse-Optimized Fractional Order- PID controller en_US
dc.type Article en_US
dc.volume 08 en_US
dc.issue 04 en_US
dc.pagestart 375 en_US
dc.pageend 385 en_US
dc.contributor.authorcountry India en_US
dc.contributor.authoraffiliation Department of Electrical Engineering, National Institute of Technology Kurukshetra, Haryana,India en_US
dc.source.title International Journal of Computing and Digital Systems en_US
dc.abbreviatedsourcetitle IJCDS en_US

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