A robust adaptive control of interleaved boost converter with power factor correction in wind energy systems
Journal Title: International Journal of Intelligent Systems and Applications in Engineering - Year 2017, Vol 5, Issue 1
Abstract
Power converters are generally utilized to convert the power from the wind sources to match the load demand and grid requirement to improve the dynamic and steady-state characteristics of wind generation systems and to integrate the energy storage system to solve the challenge of the discontinuous character of the renewable energy. In the low-voltage wind energy systems, interleaved boost converters (IBC) are often used to operate high currents in the system. IBCs are extremely sensitive to the constantly changing loading conditions. These situations require a robust control operation which can ensure a sufficient performance of the IBC over a large-scale changing load. Neural networks (NN) have emerged over the years and have found applications in many engineering fields, including control. In this paper, the adaptive control of interleaved boost converter with power factor correction (PFC) is investigated for grid-connected synchronous generator of wind energy system. For this purpose, a model reference adaptive control (MRAC) based on NN is proposed. Analysis results show that the proposed control strategy for the IBCs achieves near unity power factor (PF) and low total harmonic distortion (THD) in a wide operating range.
Authors and Affiliations
Fatih Karik| Technology Faculty, Energy Systems Engineering Department, Gazi University, Ankara, Turkey, Ceyhun Yildiz| Elbistan Vocational School, Kahramanmaras Sutcu Imam University, Kahramanmaras, Turkey, Fazil Kaytez*| General Directorate of Renewable Energy, Ankara, Turkey
Keywords
Related Articles
- EP ID EP817
- DOI 10.18201/ijisae.2017526692
- Views 466
- Downloads 25
Rainfall estimation for the south shore of the Mediterranean Sea using MSG infrared images
The objective of this paper is the estimation of rainfall over the Algerian territory using MSG (Meteosat Second Generation) infrared data. To achieve this aim, we applied a calibrated GPI (GOES Precipitation Index) appr...
Avoiding Premature Convergence of Genetic Algorithm in Informational Retrieval Systems
Genetic algorithm is been adopted to implement information retrieval systems by many researchers to retrieve optimal document set based on user query. However, GA is been critiqued by premature convergence due to falling...
Application of Angle-Modulated Particle Swarm Optimization Technique in Power System Controlled Separation WAP
One of the recommended preventive plans against the wide area disturbances is WAP, Wide Area Protection, through controlled system splitting or separation. In this paper, authors are proposing three simple algorithms tha...
Power System Contingency Ranking using Fuzzy Logic Based Approach
Voltage stability is a major concern in planning and operations of power systems. It is well known that voltage instability and collapse have led to major system failures. Modern transmission networks are more heavily lo...
Particle Swarm Optimization Design of Optical Directional Coupler Based on Power Loss Analysis
In this work, feasible design is presented as an optimization problem for an optical directional coupler and designed by using particle swarm optimization (PSO). Principally, identical, weakly guiding, slab and lossless...