State Power Modeling and Power Optimization Algorithm for Signal Processor

2011 ◽  
Author(s):  
Jianchuan Li
Keyword(s):  
Optimization Algorithm ◽  
Power Optimization ◽  
State Power ◽  
Power Modeling ◽  
Signal Processor

Multi-Objective Reactive Power Optimization Based on Refined Chaos Particle Swarm Optimization Algorithm

2014 ◽  
Vol 494-495 ◽  
pp. 1857-1860
Author(s):  
Ying Ai ◽  
Hong Wei Nie ◽  
Yi Xin Su ◽  
Dan Hong Zhang ◽  
Yao Peng
Keyword(s):  
Particle Swarm Optimization ◽  
Optimization Algorithm ◽  
Particle Swarm Optimization Algorithm ◽  
Reactive Power ◽  
Power Optimization ◽  
Particle Swarm ◽  
Reactive Power Optimization ◽  
Swarm Optimization ◽  
Multi Objective ◽  
Chaotic Mapping

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.

Dynamic grid quorum: a reconfigurable grid quorum and its power optimization algorithm

2010 ◽  
Vol 4 (4) ◽  
pp. 245-260
Author(s):  
Munetoshi Ishikawa ◽  
Koji Hasebe ◽  
Akiyoshi Sugiki ◽  
Kazuhiko Kato
Keyword(s):  
Optimization Algorithm ◽  
Power Optimization ◽  
Grid Quorum

scholarly journals Peak power optimization based on nonlinear prediction and fuzzy logic

2005 ◽  
Vol 18 (3) ◽  
pp. 431-437
Author(s):  
Bratislav Dankovic ◽  
Zoran Jovanovic ◽  
Dragan Antic
Keyword(s):  
Fuzzy Logic ◽  
Energy Consumption ◽  
Optimization Algorithm ◽  
Peak Power ◽  
Power Optimization ◽  
Electric Energy ◽  
Nonlinear Prediction ◽  
System Parameters ◽  
Electric Energy Consumption

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.

scholarly journals A study on a low power optimization algorithm for an edge-AI device

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