Application of GA with Multi-Objective optimization in control of two-parallel Inverter Based Microgrid
| Autor: | Saied Alaaesh, Awad Shamekh, Asma Alfergani, Ashraf Khalil |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Computer science
020208 electrical & electronic engineering 02 engineering and technology Insulated-gate bipolar transistor 021001 nanoscience & nanotechnology Multi-objective optimization Control theory Genetic algorithm 0202 electrical engineering electronic engineering information engineering Inverter Microgrid 0210 nano-technology MATLAB computer Pulse-width modulation computer.programming_language |
| Zdroj: | 2020 11th International Renewable Energy Congress (IREC). |
| DOI: | 10.1109/irec48820.2020.9310451 |
| Popis: | A multi-objective function genetic algorithm is proposed in this article to optimize the controller gains of the proportional and integral (PI) control law for a two-parallel inverter system. Moreover, a comprehensive structure of the two-parallel inverter-based Microgrid (MG) with distributed control is presented in this paper. The controlled system is characterized by Insulated Gate Bipolar Transistor (IGBT). The distributed control is designed in a d-q reference frame with the Space Vector Pulse Width Modulation (SVPWM) adapted as a switching technique. The controller performance is validated through MATLAB/SIMULINK simulation. The obtained results show that the current and the power-sharing are appropriately reached. |
| Databáze: | OpenAIRE |
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