Dandelion Optimizer-Based Combined Automatic Voltage Regulation and Load Frequency Control in a Multi-Area, Multi-Source Interconnected Power System with Nonlinearities

Frequency, voltage, and power flow between different control zones in an interconnected power system are used to determine the standard quality of power. Therefore, the voltage and frequency control in an IPS is of vital importance to maintaining real and reactive power balance under varying load co...

Full description

Saved in:
Bibliographic Details
Published inEnergies (Basel) Vol. 15; no. 22; p. 8499
Main Authors Ali, Tayyab, Malik, Suheel Abdullah, Daraz, Amil, Aslam, Sheraz, Alkhalifah, Tamim
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.11.2022
Subjects
Algorithms
Alternative energy sources
automatic voltage regulator
Comparative analysis
Controllers
dandelion optimizer
Electric fields
Electric potential
Electric power systems
Energy storage
Frequency control
Laws, regulations and rules
load frequency control multi-area
Mathematical optimization
multi-source interconnected power system
nature-inspired optimization
nonlinear power system and PI-PD controller
Nonlinearity
Optimization
Power flow
Proportional derivative
Reactive power
Solar energy
Voltage
Online AccessGet full text

Cover

More Information
Summary:Frequency, voltage, and power flow between different control zones in an interconnected power system are used to determine the standard quality of power. Therefore, the voltage and frequency control in an IPS is of vital importance to maintaining real and reactive power balance under varying load conditions. In this paper, a dandelion optimizer (DO)-based proportional-integral-proportional-derivative (PI-PD) controller is investigated for a realistic multi-area, multi-source, realistic IPS with nonlinearities. The output responses of the DO-based PI-PD were compared with the hybrid approach using artificial electric field-based fuzzy PID algorithm (HAEFA), Archimedes optimization algorithm (AOA)-based PI-PD, learning performance-based behavior optimization (LPBO)-based PI-PD and modified particle swarm optimization (MPSO)-based PI-PD control schemes in a two-area network with 10% step load perturbation (SLP). The proposed strategy was also investigated in a two- and three-area IPS in the presence of different nonlinearities and SLPs. The simulation results and the comprehensive comparison between the different control schemes clearly confirm that the proposed DO-based PI-PD is very effective for realistic, multi-area multi-source IPS with nonlinearities.
ISSN:1996-1073
1996-1073
DOI:10.3390/en15228499