GA Based Selective Harmonic Elimination for Five-Level Inverter Using Cascaded H-bridge Modules
Journal Title: International Journal of Intelligent Systems and Applications in Engineering - Year 2016, Vol 4, Issue 2
Abstract
Multilevel inverters (MLI) have been commonly used in industry especially to get quality output voltage in terms of total harmonic distortion (THD). In addition, development in semiconductor technology and advanced modulation techniques make MLI implementation more attractive. Selective Harmonic Elimination (SHE) that can be applied MLI at desired switching frequency offers elimination of harmonics in the output voltage. Also, by using SHE technique with cascaded multilevel inverters, the necessity of using filter in the output can be minimized. In this paper, SHE equations have been solved by using of Genetic Algorithm (GA) Toobox&Matlab and it has been aimed to eliminate desired harmonic orders at fundamental output voltage. Simulation results have clearly demonstrated that GA based SHE techniques can eliminate the demanded harmonic orders.
Authors and Affiliations
Enes Bektas| Engineering Faculty, Cankiri Karatekin University – Cankiri, Turkey, Hulusi Karaca *| Technology Faculty, Selcuk University – Konya, Turkey
Keywords
Related Articles
- EP ID EP795
- DOI 10.18201/ijisae.97681
- Views 504
- Downloads 24
Predicting Student Success in Courses via Collaborative Filtering
Based on their skills and interests, students’ success in courses may differ greatly. Predicting student success in courses before they take them may be important. For instance, students may choose elective courses that...
An Efficient Approach for Ground Echoes Suppression Based on Textural Features and SVM
The use of the Support Vector Machine (SVM) technique for the clutter identification in the context of meteorological data is presented. The clutter is due to ground echoes and anomalous propagation. The SVM is combined...
Rainfall Runoff Modelling Using Generalized Neural Network and Radial Basis Network
Rainfall runoff study has a wide scope in water resource management. To provide a reliable prediction model is of paramount importance. Runoff prediction is carried out using generalized regression neural network and rad...
BAT algorithm for Cryptanalysis of Feistel cryptosystems
Recent cryptosystems constitute an effective task for cryptanalysis algorithms due to their internal structure based on nonlinearity. This problem can be formulated as NP-Hard. It has long been subject to various attacks...
Particle Swarm Optimization Based Approach for Location Area Planning in Cellular Networks
Location area planning problem plays an important role in cellular networks because of the trade-off caused by paging and registration signalling (i.e., location update). Compromising between the location update and the...