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基于图形组态软件的新能源变电站图模一体化生成方法
引用本文:朱文,邓大为,吴争荣,夏伟,李映辰,李明.基于图形组态软件的新能源变电站图模一体化生成方法[J].科学技术与工程,2023,23(24):10372-10378.
作者姓名:朱文  邓大为  吴争荣  夏伟  李映辰  李明
作者单位:中国南方电网有限责任公司;广东电网有限责任公司;南方电网数字电网研究院有限公司;暨南大学电气工程学院
基金项目:南方电网有限责任公司科技项目(ZBKJXM20180006);国家重点研发计划资助(2018YFB0904900).
摘    要:

关 键 词:图形组态软件  新能源变电站  图模一体化生成  优化目标函数  粒子群算法(PSO)
收稿时间:2022/12/12 0:00:00
修稿时间:2023/6/5 0:00:00

Graphic Configuration Software-Based Integrated Generation Method of New Energy Substation Drawings and Models
Zhu Wen,Deng Dawei,Wu Zhengrong,Xia Wei,Li Yingchen,Li Ming.Graphic Configuration Software-Based Integrated Generation Method of New Energy Substation Drawings and Models[J].Science Technology and Engineering,2023,23(24):10372-10378.
Authors:Zhu Wen  Deng Dawei  Wu Zhengrong  Xia Wei  Li Yingchen  Li Ming
Institution:China Southern Power Grid Co. Ltd.,
Abstract:When the current method is used to draw the graph model of the new energy substation, the graph configuration software is not used, which leads to the long time spent in generating the graph model and the low quality factor of the graph model. An integrated generation method of new energy substation graphics and models based on graphic configuration software is proposed. The graphic configuration software is designed by graphic attribute automatic drawing module, primitive model library building module, equipment primitive graphic information saving and expanding module, SSD reading and analyzing module, SSD model and equipment primitive association module and primary equipment graphic drawing module. The inner model graphics and outer model graphics of substation are designed in the graphic configuration software, and the optimization objective function is established. Particle Swarm Optimization is used to solve the optimization objective function. The experimental results show that the proposed method is more efficient, of better quality and of higher practical applicability.
Keywords:graphic configuration software  substation  integrated graphics and model generation  optimize objective function  particle swarm optimization
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