Abstract
This paper presents an intelligent droop control scheme for DC/DC Boost converter which is used as voltage regulator in islanded DC Microgrid. This approach is a combination of Fuzzy Inference System (FIS) and Genetic Algorithm (GA) which is used to improve voltage regulation and equal power sharing between the DGs under abrupt load changing while the power losses is low. The propose control performance is compared with the other typical droop control approach. The simulation results are further verified by SIMULINK in MATLAB/SimPowerSystems. The proposed control scheme on this paper has two important advantages, online approach by using Fuzzy Inference System design and its lower dependence on the mathematical model of the network.
| Original language | English |
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| Title of host publication | 5th Iranian Joint Congress on Fuzzy and Intelligent Systems - 16th Conference on Fuzzy Systems and 14th Conference on Intelligent Systems, CFIS 2017 |
| Number of pages | 6 |
| Publisher | IEEE |
| Publication date | 7 Aug 2017 |
| Pages | 190-195 |
| Article number | 8003681 |
| ISBN (Print) | 978-1-5090-4009-4 |
| ISBN (Electronic) | 978-1-5090-4008-7 |
| DOIs | |
| Publication status | Published - 7 Aug 2017 |
| Event | 5th Iranian Joint Congress on Fuzzy and Intelligent Systems - 16th Conference on Fuzzy Systems and 14th Conference on Intelligent Systems, CFIS 2017 - Qazvin, Iran, Islamic Republic of Duration: 7 Mar 2017 → 9 Mar 2017 |
Conference
| Conference | 5th Iranian Joint Congress on Fuzzy and Intelligent Systems - 16th Conference on Fuzzy Systems and 14th Conference on Intelligent Systems, CFIS 2017 |
|---|---|
| Country/Territory | Iran, Islamic Republic of |
| City | Qazvin |
| Period | 07/03/2017 → 09/03/2017 |
Keywords
- DC Microgrid
- Fuzzy Inference System (FIS)
- Genetic Algorithm (GA)
- Intelligent Droop Control (IDC)