Particle swarm optimisation technique to improve energy efficiency of doubly‐fed induction generators for wind turbines

Autor: Dilan Jayaweera, Pietro Tricoli, Cherngchai Sompracha
Rok vydání: 2019
Předmět:
numerical analysis
Computer science
electrical loss minimisation
power generation reliability
doubly-fed induction generators
02 engineering and technology
Turbine
wecs
Wind speed
Maximum power point tracking
wind energy conversion systems
variable-pitch wind turbine systems
reactive power control
doubly-fed generator
0202 electrical engineering
electronic engineering
information engineering
particle swarm optimisation
energy efficiency
energy conservation
Wind power
optimal d-axis rotor current
General Engineering
dfig
Particle swarm optimization
particle swarm optimisation control system
machine control
Energy conservation
maximum power point tracking control
model-based loss minimisation
parameter estimation
power generation control
020209 energy
power system management
wind power plants
Energy Engineering and Power Technology
stators
soft-stalling control
stator reactive power management
Control theory
wind turbines
energy management systems
Machine control
reliability
business.industry
020208 electrical & electronic engineering
Induction generator
maximum power point trackers
error compensation
lcsh:TA1-2040
angular velocity control
numerical simulation
circuit parameter estimation
asynchronous generators
variable-speed fixed-pitch wind turbines
lcsh:Engineering (General). Civil engineering (General)
business
electric current control
Software
Zdroj: The Journal of Engineering (2019)
ISSN: 2051-3305
DOI: 10.1049/joe.2018.9348
Popis: Wind energy conversion systems (WECSs) require a suitable control to maximise the power generated by wind turbines independently on the wind conditions. Variable-speed fixed-pitch wind turbines with doubly-fed induction generators (DGIG) are used in WECSs for their higher reliability and efficiency compared to variable-pitch wind turbine systems. This study proposes an effective control algorithm to maximise the efficiency of fixed-pitch wind turbines with DFIGs using particle swarm optimisation control to compensate for the errors in the estimation of the circuit parameters of the generator. The proposed control algorithm generates an optimal speed reference to optimise the mechanical power extracted from the wind and the optimal d-axis rotor current through stator reactive power management to minimise the electrical losses of the doubly-fed generator. The optimal speed reference is provided by a maximum power point tracking control below the rated wind speed and a soft-stalling control above the rated wind speed, while the optimal d-axis rotor current is searched by a particle swarm optimisation algorithm. The proposed control system has been verified by numerical simulations and it has been demonstrated that the energy generated for typical wind speed profiles is greater than that of a traditional control based on a model-based loss minimisation.
Databáze: OpenAIRE
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