An Adaptive Power Output Control System for CAM

Author(s):  
Amr Sayed AbdelFattah
1959 ◽  
Vol 81 (2) ◽  
pp. 111-120
Author(s):  
M. A. Eggenberger ◽  
P. G. Ipsen

Three variables must be controlled on a double-automatic extraction turbine—speed (or power output), and the two process-header pressures—by controlling the flow of steam at different pressure levels. This has been done in a satisfactory manner on a large number of extraction turbines. However, the designs which had been developed for turbines of 50,000-kw capacity and smaller were not suitable for a turbine nearly five times as large, and a completely new control-system design had to be created.


2012 ◽  
Vol 466-467 ◽  
pp. 272-276
Author(s):  
Dao E Qiao ◽  
Xiao Li Xu

Efficient energy yield is a major concern in solar photovoltaic (PV) systems. This paper describes a distributed control system to optimize the power output of the PV systems. The PV systems contain many PV modules. And every PV module has a monitoring and control network node. The communication data are successfully transmitted using a low-cost ZigBee wireless network. The field conditions are monitored by voltage, current, irradiance, and temperature sensors. The power operating point tracking is implemented at the PV module level. The reference voltage is calculated based on a neural network model, which is used to identify maximum power point. And the output voltage is regulated by a digital controller in the integrated converter according to the reference voltage. Experiments show that the power output can be greatly increased with this distributed control system under many shadow conditions.


2015 ◽  
Vol 6 (4) ◽  
pp. 1485-1493 ◽  
Author(s):  
P. Moutis ◽  
A. Vassilakis ◽  
A. Sampani ◽  
N. D. Hatziargyriou

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