Load Frequency Controller Considering Interconnection with a Hybrid Distributed Generation

被引:0
|
作者
Tungadio, Diambomba Hyacinthe [1 ]
Sun, Yanxia [1 ]
机构
[1] Univ Johannesburg, Dept Elect & Elect Engn Sci, Johannesburg, South Africa
基金
新加坡国家研究基金会;
关键词
Distributed generation; load frequency control; Photovoltaic; Model predictive control; Energy storage system; MODEL-PREDICTIVE CONTROL; POWER-SYSTEM; CONTROL STRATEGY; ENERGY-STORAGE; OPTIMAL-DESIGN; LFC;
D O I
10.1109/ICECET52533.2021.9698765
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
This paper proposed an optimal model of frequency control based on predictive strategy approach. The proposed model was validated using three microgrids interconnected together via tie-lines. Two conventional power plants, hydro and thermal was interconnected with a hybrid generation system made by a photovoltaic and a wind farm. It is well known that the predictive controller and the storage system control parameters are found by expertise of the designer or using the trial and error approach. To solve this issue, the grey Wolf Optimiser (GWO) algorithm is used to tune the proposed controller and the storage system parameters to keep the power flow between the interconnected areas as scheduled when considering load variations. The proposed predictive controller was built in Matlab/Simulink and the effectiveness of the model was shown with the obtained simulation results.
引用
收藏
页码:1310 / 1315
页数:6
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