scholarly journals Active power control algorithm for distributed photovoltaic power generation cluster based on operating efficiency of photovoltaic power generation unit

2017 ◽  
Vol 2017 (13) ◽  
pp. 2309-2313
Author(s):  
Rui Bi ◽  
Xianfang Liu
Energies ◽  
2020 ◽  
Vol 13 (6) ◽  
pp. 1329 ◽  
Author(s):  
Hongwei Li ◽  
Kaide Ren ◽  
Shuaibing Li ◽  
Haiying Dong

To deal with the randomness and uncertainty of the wind power generation process, this paper proposes the use of the clustering method to complement the multi-model predictive control algorithm for active power control. Firstly, the fuzzy clustering algorithm is adopted to classify actual measured data; then, the forgetting factor recursive least square method is used to establish the multi-model of the system as the prediction model. Secondly, the model predictive controller is designed to use the measured wind speed as disturbance, the pitch angle as the control variable, and the active power as the output. Finally, the parameters and measured data of wind generators in operation in Western China are adopted for simulation and verification. Compared to the single model prediction control method, the adaptive multi-model predictive control method can yield a much higher prediction accuracy, which can significantly eliminate the instability in the process of wind power generation.


2007 ◽  
Vol 54 (5) ◽  
pp. 2583-2592 ◽  
Author(s):  
P.. Rodriguez ◽  
A.V. Timbus ◽  
R.. Teodorescu ◽  
M.. Liserre ◽  
F.. Blaabjerg

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