Load Frequency Control of Autonomous Microgrid System Using Hybrid Fuzzy logic GWO-CS PI Controller

被引:3
作者
Bouaddi, Abdessamade [1 ]
Rabeh, Reda [1 ,2 ]
Ferfra, Mohammed [1 ]
机构
[1] Mohammed V Univ Rabat, RTEEC Team, Ecole Mohammadia Ingenieurs EMI, Rabat, Morocco
[2] Int Univ Rabat, ECINE, LERMA, Sala Al Jadida, Morocco
来源
2021 9TH INTERNATIONAL CONFERENCE ON SYSTEMS AND CONTROL (ICSC'21) | 2021年
关键词
Microgrid; frequency control; Fuzzy PI controller; grey wolf optimizer and cuckoo search; AUTOMATIC-GENERATION CONTROL; ALGORITHM;
D O I
10.1109/ICSC50472.2021.9666683
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Large frequency fluctuations are caused by the highly intermittent energy from renewable energy sources (RES) as well as the load disturbances of an autonomous micro-grid (MG). In this paper, an isolated micro-grid comprising both controllable and uncontrollable sources is adopted. Fluctuation power of renewable sources and load influence in power balance then in frequency deviation. In order to minimize frequency deviation, a new hybrid algorithm based on grey wolf optimizer and cuckoo search (GWO-CS) is implemented for optimal tuning of Fuzzy PI (proportional-integral) controller gains in an autonomous microgrid. This study considers a variety of scenarios to illustrate the efficiency of the suggested controller. In this paper, a mathematical model of the studied microgrid was developed in MATLAB /SIMULINK. The simulation results in different scenarios confirm that the accuracy of the proposed strategy comparing results to some algorithms for optimal gains values of PI controller.
引用
收藏
页码:554 / 559
页数:6
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