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Your search keyword '"Wang, Chao"' showing total 425 results
Start Over Author "Wang, Chao" Journal advanced materials research
425 results on '"Wang, Chao"'

1. Containing Wind Farm Power System Probabilistic Optimal Power Flow Calculation Using the Method of Combined Cumulants and Gram-Charlier Expansion

Author

Yue Qing Chen, Wang Chao Dong, Min Jiang Chen, and Bei Wu

Subjects
Electric power system, Mathematical optimization, Flow (mathematics), General Engineering, Probabilistic logic, Probability distribution, Node (circuits), Permanent magnet synchronous generator, Turbine, Power (physics), Mathematics
Abstract

This paper uses the optimal probabilistic load flow method for power containing wind farm analysis. Based on Computation of optimal load flow using the Interior point method ,considering the stochasticlal power output of wind generator and the random outage of synchronous generator and the stochastic of load power, calculating the probability distribution of branch power flow and node voltage. This paper uses RTS-24 as the example to analysis the method ,and comparison the results with that of the Monte-Carlo method, to analysis the change of power system after the grid connected of wind turbine.

Published
2014

2. A Hardware/Software Co-Design Flow for Dynamic Partial Reconfiguration

Author

Jun Neng Zhang, Wang Chao, Xiao Jing Feng, Xuehai Zhou, and Xi Li

Subjects
Flexibility (engineering), Set (abstract data type), Speedup, Software, Computer science, business.industry, Embedded system, Design flow, Overhead (engineering), General Engineering, Process (computing), Control reconfiguration, business
Abstract

The strict requirements on both performance and flexibility lead us to apply Dynamic Partial Reconfiguration (DPR) technology in embedded systems. However, existing DPR design flows are still immature, since previous works mainly focus on hardware designs while ignore software designs for DPR. To remedy this weakness, this paper proposes a hardware/software (HW/SW) co-design flow for DPR. The co-design flow aims at accelerating the process of DPR designs, and it merges software and hardware design flows to make them operate in parallel. Besides, in order to validate the effectiveness of our co-design flow, we implement a partial self-reconfigurable prototype system on Xilinx Virtex-5 platform and perform a set of experiments. Experimental results present that the reconfiguration overhead for partial reconfiguration is only 4.66% against global reconfiguration in our prototype. It’s also presented that our prototype can achieve a 23.6 × speedup over software algorithm solutions.

Published
2012

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