Optimal Design of PV/Wind/Pumped-Storage Hybrid System Based on Improved Particle Swarm Optimization

2012 ◽  
Vol 6 (1) ◽  
pp. 660-663 ◽  
Author(s):  
Ren Yan ◽  
Zheng Yuan
Keyword(s):  
Particle Swarm Optimization ◽  
Optimal Design ◽  
Hybrid System ◽  
Particle Swarm ◽  
Swarm Optimization ◽  
Improved Particle Swarm Optimization ◽  
Pumped Storage

Intelligent Optimization of Hybrid Wind/PV/pumped-Storage Power System

2012 ◽  
Vol 512-515 ◽  
pp. 719-722
Author(s):  
Yan Ren ◽  
Yuan Zheng ◽  
Chong Li ◽  
Bing Zhou ◽  
Zhi Hao Mao
Keyword(s):  
Global Optimization ◽  
Particle Swarm Optimization ◽  
Power System ◽  
Hybrid System ◽  
Optimization Algorithm ◽  
Particle Swarm Optimization Algorithm ◽  
Particle Swarm ◽  
Swarm Optimization ◽  
Good Convergence ◽  
Pumped Storage

The hybrid wind/PV/pumped-storage power system was the hybrid system which combined hybrid wind/PV system and pumped-storage power station. System optimization was very important in the system design process. Particle swarm optimization algorithm was a stochastic global optimization algorithm with good convergence and high accuracy, so it was used to optimize the hybrid system in this paper. First, the system reliability model was established. Second, the particle swarm optimization algorithm was used to optimize the system model in Nanjing. Finally, The results were analyzed and discussed. The optimization results showed that the optimal design method of wind/PV/pumped-storage system based on particle swarm optimization could take into account both the local optimization and the global optimization, which has good convergence high precision. The optimal system was that LPSP (loss of power supply probability) was zero.

Structure Optimal Design for Portable Exoskeleton Using Improved Particle Swarm Optimization

2012 ◽  
Vol 204-208 ◽  
pp. 4845-4850
Author(s):  
Fang Liu ◽  
Wen Ming Cheng ◽  
Yi Zhou
Keyword(s):  
Particle Swarm Optimization ◽  
Simulated Annealing ◽  
Optimal Design ◽  
Particle Swarm ◽  
Lower Extremities ◽  
Legged Locomotion ◽  
Design Parameters ◽  
Position Vector ◽  
Swarm Optimization ◽  
Improved Particle Swarm Optimization

Portable exoskeleton is directed at providing necessary support and help for loaded legged locomotion. The kernel of whole mechanical construction of the exoskeleton is lower extremities. The lower extremities consist of exoskeleton thigh, exoskeleton shank, hydraulic cylinder and corresponding joints. In order to find the optimal combination of design parameters of lower extremities, an improved particle swarm optimization algorithm based on simulated annealing is proposed. To improve global and local search ability of the proposed approach, the inertia weight is varied over time, and jumping probability of simulated annealing is adopted in updating the position vector of particles. Experimental results show that the improved algorithm can obtain the optimal design solutions stably and effectively with less iteration compared to the standard particle swarm optimization and simulated annealing; using ANSYS software build finite element model with the optimization result, then analyzes the strength of the model, these stress results verify the of accuracy of the improved particle swarm optimization.

Optimal Design of a Compact Filter for UWB Applications Using an Improved Particle Swarm Optimization

2016 ◽  
Vol 52 (3) ◽  
pp. 1-4 ◽  
Author(s):  
Young-Chun Yun ◽  
Seung-Hun Oh ◽  
Jeong-Hyeok Lee ◽  
Kyung Choi ◽  
Tae-Kyung Chung ◽  
...  
Keyword(s):  
Particle Swarm Optimization ◽  
Optimal Design ◽  
Particle Swarm ◽  
Swarm Optimization ◽  
Improved Particle Swarm Optimization ◽  
Uwb Applications ◽  
Compact Filter
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