A Novel Hybrid Ant Colony-Particle Swarm Optimization Techniques Based Tuning STATCOM for Grid Code Compliance

Integrating wind power plants (WPPs) into power systems are increasing dramatically now a day. However, the dynamic performance of power systems will be affected by the large penetration level of such renewable sources of energy. From this context power system operators and transmission system opera...

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Bibliographic Details
Published in:IEEE access 2020, Vol.8, p.41566-41587
Main Authors: Kamel, Omar Makram, Diab, Ahmed A. Zaki, Do, Ton Duc, Mossa, Mahmoud A.
Format: Article
Language:English
Subjects:
ACO
Ant colony optimization
Automatic voltage control
DFIG
Doubly fed induction generators
Electric power generation
Fuzzy controller
HPA
Low voltage
Operators
Optimization techniques
Particle swarm optimization
Power plants
Power system dynamics
PSO
Reactive power
Regulators
Rotors
STATCOM
THD
VSC
Wind power
Wind power generation
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Summary:Integrating wind power plants (WPPs) into power systems are increasing dramatically now a day. However, the dynamic performance of power systems will be affected by the large penetration level of such renewable sources of energy. From this context power system operators and transmission system operators have put regulation rules to keep pushing wind power plants to safeguard limits that keep power system more stable and reliable. One of these rules is providing a low voltage ride through (LVRT) for wind farms without disconnecting it from the power system. The current paper implements the STATCOM as a LVRT for a 9 MW wind farm connected to the grid through transmission system of 120 kV. For enhancing the dynamic performance of STATCOM, two types of optimization methodologies: ant colony (ACO) and particle swarm optimization (PSO), are proposed to fine tune the coefficients of PI controllers to optimally manage the STATCOM dynamics.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2020.2976828