Heuristic Optimization of Virtual Inertia Control in Grid-Connected Wind Energy Conversion Systems for Frequency Support in a Restructured Environment

In the work reported in this paper, a novel application of the artificial bee colony algorithm is used to implement a virtual inertia control strategy for grid-connected wind energy conversion systems. The proposed control strategy introduces a new heuristic optimization technique that uses the arti...

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Bibliographic Details
Published in:Energies (Basel) 2020, Vol.13 (3), p.564
Main Authors: Aluko, Anuoluwapo Oluwatobiloba, Dorrell, David George, Pillay Carpanen, Rudiren, Ojo, Evan E.
Format: Article
Language:English
Subjects:
Algorithms
Alternative energy
artificial bee colony algorithm
Codes
Control algorithms
Control systems
Control theory
Converters
Deregulation
Eigenvalues
Energy conversion
Energy industry
Frequency analysis
Frequency control
Fuzzy logic
Generators
Genetic algorithms
heuristic optimization
HVAC
load frequency control
Neural networks
Optimization
power system stability
Robust control
Search algorithms
wind energy
Wind power
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Summary:In the work reported in this paper, a novel application of the artificial bee colony algorithm is used to implement a virtual inertia control strategy for grid-connected wind energy conversion systems. The proposed control strategy introduces a new heuristic optimization technique that uses the artificial bee colony (ABC) algorithm to calculate the optimal gain value of an additional derivative control loop added to the control scheme of the machine side converter in a wind energy system to enable wind farms to participate in frequency control as specified by recent grid codes. This helps to minimize the frequency deviations, reduce active power deviation in the system, and increase the penetration level of wind energy in power systems. The study was performed in a restructured power system environment. The proposed control scheme and its robustness were evaluated using load–frequency analysis for three real-life transaction scenarios that can occur in an interconnected open-energy market and the validation was carried out using eigenvalue analysis. The results in this study show that the optimal gain of the proposed controller reduces the frequency deviations and improves stability and overall performance of the system.
ISSN:1996-1073
1996-1073
DOI:10.3390/en13030564