| Autor: |
Manjunatha Sharma K, Hemachandra Gudimindla, S Sandhya |
| Rok vydání: |
2021 |
| Předmět: |
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| Zdroj: |
2021 International Conference on System, Computation, Automation and Networking (ICSCAN). |
| DOI: |
10.1109/icscan53069.2021.9526500 |
| Popis: |
Recent technological advancements and cost reduction drives increasing the penetration of renewable energy sources with grid. Utilisation factor of renewable energy sources is low due to dependency on the environmental conditions. Basically, hybrid energy systems provide constant, high-quality power for the remote communities. The sizing of the hybrid system is significant to meet the load demand of residential buildings. In this paper, A simple optimal sizing algorithm is used to model the Wind turbine and PV system to meet the residential load. Quantitave feedback theory (QFT) based robust controller is implemented for the proposed sub-module integrated PV converter and the PMSG based wind energy conversion system to extract maximum power using simple genetic algorithm. Performance of the QFT controller is analysed through MATLAB simulations under varying irradiance and wind conditions. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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