SVG Graphical Analysis Tool Online Regional Reactive Power Optimization System Development

Abstract:

Online region reactive power optimization is used to reduce power bus voltage operation over limit and reduce net loss for the economy to ensure that the power grid of great significance. SVG graphics file is a standard file format used by our dispatching operation, analysis file and basic information within the file corresponds to reactive power optimization system can guarantee the system reactive power optimization of interactive graphics capability and versatility. In this paper, we design and development of a SVG graphics file parsing tool that can automatically complete the import SVG, structural analysis, and text parsing; graphics and connectivity analysis to ensure the accuracy of the topology; the module contains a custom chart for human-computer interaction element, Element Properties and topological analysis and dynamic trend function, to meet human-computer interaction and reactive power optimization computing needs. This module has been applied to a region with reactive power optimization system, with good results.

• Periodical: Advanced Materials Research (Volumes 986-987)
• Pages: 2073-2077
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.986-987.2073
• Online since: July 2014
• Authors: Gan Li*, Li Jie Ding, Dan Dan Li
• Keywords: Pattern Analysis, Reactive Power Optimization, Regional Power Grid, SVG

References

[1] Zhang Cong Yu , Chen Min shafts based on multi -objective particle swarm algorithm for reactive power [J] Power System Protection and Control 2010 , 38 ( 20 ) : 153-158.

[2] PROCEEDINGS . Optimal power flow problem with constant factor allocation method for decoupling [J]. Chinese Society for Electrical Engineering . 1983. 01.

[3] Li Yulong , Chong Wei , Qin Lijun reactive power optimization problem in linear programming linear step dynamic adjustment strategy [J] Power System Technology, 2006, 30 ( 18 ) : 40-44.

[4] Liu research PROCEEDINGS , Li Yunhua . Improved genetic simulated annealing algorithm based reactive power [J]. Power System Technology, 2007, 31 ( 3 ) : 13 -17.

[5] IN TRADITIONAL Zhang Jianhua , Liu Zongqi Parallel Adaptive Particle Swarm Optimization Algorithm in Reactive Power Optimization of Power [J]. Grid technology . 2012, 36 ( 1 ) : 108 -112.