scholarly journals Active and Reactive Power in Stochastic Resonance for Energy Harvesting

2015 ◽  
Vol E98.A (7) ◽  
pp. 1537-1539
Author(s):  
Madoka KUBOTA ◽  
Ryo TAKAHASHI ◽  
Takashi HIKIHARA
Keyword(s):  
Energy Harvesting ◽  
Stochastic Resonance ◽  
Reactive Power ◽  
Active And Reactive Power

FLOW CONTROL ACTIVE AND REACTIVE POWER IN ELECTRIC NETWORKS

2016 ◽  
Vol 2016 (5) ◽  
pp. 61-63
Author(s):  
F.P. Govorov ◽  
◽  
V.F. Govorov ◽  
Keyword(s):  
Flow Control ◽  
Reactive Power ◽  
Electric Networks ◽  
Active And Reactive Power

Energy Bill Reduction by Optimizing Both Active and Reactive Power in an Electrical Microgrid

2020 ◽  
Vol 15 (6) ◽  
pp. 456
Author(s):  
Anis Boulal ◽  
Houssam Eddine Chakir ◽  
M'Hamed Drissi ◽  
Hamid Ouadi
Keyword(s):  
Reactive Power ◽  
Active And Reactive Power

Differentiation Coherence Algorithm for Steady Power Flow Control

2015 ◽  
Vol 9 (1) ◽  
pp. 107-116 ◽  
Author(s):  
Yang Liu-Lin ◽  
Hang Nai-Shan
Keyword(s):  
Flow Control ◽  
Extreme Point ◽  
Power Flow ◽  
Reactive Power ◽  
Small Deviation ◽  
Function Optimization ◽  
Flow Mode ◽  
Power Flow Control ◽  
Active And Reactive Power ◽  
Variable Inequality

This paper researched steady power flow control with variable inequality constraints. Since the inverse function of power flow equation is hard to obtain, differentiation coherence algorithm was proposed for variable inequality which is tightly constrained. By this method, tightly constrained variable inequality for variables adjustment relationships was analyzed. The variable constrained sensitivity which reflects variable coherence was obtained to archive accurate extreme equation for function optimization. The hybrid power flow mode of node power with branch power was structured. It also structured the minimum variable model correction equation with convergence and robot being same as conventional power flow. In fundamental analysis, the effect of extreme point was verified by small deviation from constrained extreme equation, and the constrained sensitivity was made for active and reactive power. It pointed out possible deviation by using simplified non-constrained sensitivity to deal with the optimization problem of active and reactive power. The control solutions for power flow for optimal control have been discussed as well. The examples of power flow control and voltage management have shown that the algorithm is simple and concentrated and shows the effect of differential coherence method for extreme point analysis.

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