Design of new controller for load frequency control of isolated microgrid considering system uncertainties
| Autor: | Hamze Aryanpour, Mehran Esmaeili, Hossein Shayeghi, Mehdi Nooshyar |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Adaptive neuro fuzzy inference system
Computer science Automatic frequency control MathematicsofComputing_NUMERICALANALYSIS Energy Engineering and Power Technology PID controller ComputerApplications_COMPUTERSINOTHERSYSTEMS 020206 networking & telecommunications 02 engineering and technology Fuzzy logic Control theory 0202 electrical engineering electronic engineering information engineering Overshoot (signal) Islanding 020201 artificial intelligence & image processing Microgrid |
| Zdroj: | International Journal of Power and Energy Conversion. 9:285 |
| ISSN: | 1757-1162 1757-1154 |
| DOI: | 10.1504/ijpec.2018.10009694 |
| Popis: | In this paper, a method for designing a load frequency control for micro grids after islanding has been proposed using neuro-fuzzy inference systems (ANFIS) control approaches. The three different controllers consisting optimal PID controller, fuzzy controller and a special kind of ANFIS controller have been compared. PID controller parameters are tuned using NSGA-II algorithm to minimise overshoot, settling time and integral square error over a wide-range of load changes. The PID controller parameters obtained from NSGA-II algorithm are used to train ANFIS. The performances of the controllers are implemented using MATLAB package. A comparison of ANFIS PID controller and other controllers indicates the superiority of proposed ANFIS-based approach over fuzzy PID and optimal PID controller for the same conditions. |
| Databáze: | OpenAIRE |
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