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

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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Bibliographic Details
Main Author: Iman M. Hosseini Naveh (16891482) (author)
Other Authors: Elyas Rakhshani (16891485) (author), Hasan Mehrjerdi (16869957) (author), Mohamed A. Elsaharty (16891488) (author)
Published: 2021
Subjects:
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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