State Power Modeling and Power Optimization Algorithm for Signal Processor

Author(s):  
Jianchuan Li
2014 ◽  
Vol 494-495 ◽  
pp. 1857-1860
Author(s):  
Ying Ai ◽  
Hong Wei Nie ◽  
Yi Xin Su ◽  
Dan Hong Zhang ◽  
Yao Peng

In order to reduce the active network loss, increase the power quality and voltage static stability of power system, an index function of multi-objective reactive power optimization is established. Then, an improved adaptive chaotic particle swarm optimization algorithm is proposed to solve the problem. Through the using of cubic chaotic mapping, the particle population is initialized to enhance the diversity of its value; In the optimization process, poor fitness particles are updated with chaos disturbance, and their inertia weight are adjusted dynamically with particles fitness value so as to avoid local convergence. Simulation of IEEE 30 bus system shows that the proposed algorithm for reactive power optimization can avoid premature convergence effectively, and converge to optimal solution rapidly.


2010 ◽  
Vol 4 (4) ◽  
pp. 245-260
Author(s):  
Munetoshi Ishikawa ◽  
Koji Hasebe ◽  
Akiyoshi Sugiki ◽  
Kazuhiko Kato

2005 ◽  
Vol 18 (3) ◽  
pp. 431-437
Author(s):  
Bratislav Dankovic ◽  
Zoran Jovanovic ◽  
Dragan Antic

A new peak power optimization algorithm of the electric energy consumption with nonlinear prediction is presented in this paper. The system parameters for optimization are adjusted using fuzzy logic.


2019 ◽  
Vol 10 (4) ◽  
pp. 373-389 ◽  
Author(s):  
Tatsuya Kaneko ◽  
Kentaro Orimo ◽  
Itaru Hida ◽  
Shinya Takamaeda-Yamazaki ◽  
Masayuki Ikebe ◽  
...  

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