A Quasi-Oppositional Method for Output Tracking Control by Swarm-Based MPID Controller on AC/HVDC Interconnected Systems With Virtual Inertia Emulation

<p>This paper presents a comprehensive evaluation of the effect of quasi oppositional - based learning method utilization in output tracking control through a swarm-based multivariable Proportional-Integral-Derivative (SMPID) controller, which is tuned by a novel performance index based on the...

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محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Iman M. Hosseini Naveh (16891482) (author)
مؤلفون آخرون:	Elyas Rakhshani (16891485) (author), Hasan Mehrjerdi (16869957) (author), Mohamed A. Elsaharty (16891488) (author)
منشور في:	2021
الموضوعات:	Engineering Control engineering, mechatronics and robotics Electrical engineering Information and computing sciences Distributed computing and systems software Optimization HVDC transmission Power system stability Emulation Interconnected systems MIMO communication Tuning Frequency control Virtual inertia Quasi oppositional-based learning method (QO-BL) Grey wolf optimization (GWO) algorithm Grasshopper algorithm (GOA) Artificial fish swarm algorithm (AFSA) Artificial bee colony (ABC) Particle swarm optimization (PSO) Quasi oppositional-based GWO (QO-GWO) Quasi oppositional-based GOA (QO-GOA) Quasi oppositional-based AFSA (QO-AFSA) Quasi oppositional-based PSO (QO-PSO) Multivariable proportional–integral–derivative (MPID) controller Conventional tuned MPID (C-MPID) Swarm–based MPID controller (SMPID) Swarm–based optimization algorithms (SBOAs) AC/HVDC interconnected system with energy storage systems (AC/HVDC with ESS)
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A Quasi-Oppositional Method for Output Tracking Control by Swarm-Based MPID Controller on AC/HVDC Interconnected Systems With Virtual Inertia Emulation

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