Model predictive control for wind power generation smoothing with controlled battery storage

2009 ◽  
Author(s):  
Muhammad Khalid ◽  
Andrey V. Savkin
Keyword(s):  
Power Generation ◽  
Model Predictive Control ◽  
Wind Power ◽  
Predictive Control ◽  
Wind Power Generation ◽  
Battery Storage

scholarly journals Adaptive Multi-Model Switching Predictive Active Power Control Scheme for Wind Generator System

Energies ◽  
2020 ◽  
Vol 13 (6) ◽  
pp. 1329 ◽  
Author(s):  
Hongwei Li ◽  
Kaide Ren ◽  
Shuaibing Li ◽  
Haiying Dong
Keyword(s):  
Power Generation ◽  
Model Predictive Control ◽  
Power Control ◽  
Wind Power ◽  
Predictive Control ◽  
Control Method ◽  
Measured Data ◽  
Active Power ◽  
Wind Power Generation ◽  
Active Power Control

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.

Model Predictive Control for Direct-Drive Wind Power Generation Systems

2011 ◽  
Vol 66-68 ◽  
pp. 2170-2176
Author(s):  
Yong Yang
Keyword(s):  
Power Generation ◽  
Cost Function ◽  
Wind Power ◽  
Predictive Control ◽  
Sampling Interval ◽  
Wind Power Generation ◽  
Maximum Efficiency ◽  
Direct Drive ◽  
Control Scheme ◽  
Power Generation Systems

Permanent magnet synchronous generator (PMSG) are commonly used in direct-drive wind power generation systems, which produce high efficiency, high reliability and low cost in wind power generation. This paper presents a new and simple control scheme using predictive control, which is used in PMSGs and grid-connected inverters. The controller uses the models of PMSGs and grid-connected inverters to predict on each sampling interval. A cost function defines the desired behavior of the system. The switching state that minimizes the cost function is selected and applied during the next sampling interval. At any wind speed within the operating range, the PMSG rotor speed can optimally controlled to extract maximum wind power. The simulated results show that the proposed control scheme can provide the direct-drive wind power generation system with the maximum efficiency and high dynamic performance.

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