Optimization research of model-driven measurement & control device
DOI：10.7667/PSPC180169
Key Words:model-driven  optimization  scalable vector graphics (SVG)  substation specification description (SSD)  mis-operation  configuration
Author NameAffiliation
REN Hui Nanjing Department of China Electric Power Research Institute, Nanjing 210003, China 
DOU Renhui Nanjing Department of China Electric Power Research Institute, Nanjing 210003, China 
ZHENG Yongkang State Grid Sichuan Electric Power Research Institute, Chengdu 610072, China 
FAN Chen Nanjing Department of China Electric Power Research Institute, Nanjing 210003, China 
ZHANG Haidong Nanjing Department of China Electric Power Research Institute, Nanjing 210003, China 
ZHAO Guoqing Nanjing Department of China Electric Power Research Institute, Nanjing 210003, China 
WU Yanping Nanjing Department of China Electric Power Research Institute, Nanjing 210003, China 
YANG Qing Nanjing Department of China Electric Power Research Institute, Nanjing 210003, China 
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Abstract:Now, the configuration files of the measurement & control devices are not uniform and perfect, resulting that the measurement & control devices are not all dependent on IEC 61850 models. On account of those questions, this paper proposes a design method of MDA device. By extending Substation Specification Description (SSD) in Substation Configuration Description (SCD) model file, the SSD file describes primary circuit wiring diagram of substation, and makes relevancy with signals from secondary devices. It also configures all the mis-operation rules based on SSD file. The method makes the model file include five elements such as communication connections, network communication parameters, function configuration parameters, mis-operation rules and primary equipment wiring diagram with format of Scalable Vector Graphics (SVG). It will achieve the goal that measurement & control device is driven by models completely, what will eliminate the risks of configuration files tempered and be easy to operated and maintained. This work is supported by Science and Technology Project of State Grid Corporation of China “Key Technology Research of Smart Substation Secondary System Optimization” (No. DZN17201600120).
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