摘要
为了满足区域性稳控系统在联调过程中站站之间、厂站之间视音频的通信需求,提出了利用稳控系统的数据传输信道的剩余闲置带宽传送现场语音及图像的方法,分析了稳控系统的通信报文与视音频数据包的不同特点,给出了混编两类不同数据类型的编码算法及无失真实时分离识别算法。利用优先级划定法解决了稳控系统对数据实时性要求与语音图像数据流量大的矛盾,并建立了一对一及一对多的实际稳控系统模型进行试验验证。试验结果表明,在保证稳控系统的运行安全可靠的同时,语音图像传送流畅清晰,有效利用了稳控系统信道的闲置带宽,提高了通信通道的利用率。研究成果在广东220kV端州变及1120MW云浮电厂的稳控系统中安装使用,有效提高了稳控系统联调时的效率及结果准确性,并在厂站的日常运维监控中提供了极大的方便性。
In order to meet the communication requirement that emerges from the joint debugging process between station and station or plant and station for regional stability control system, this paper proposes a method for transmitting video-audio data on-spot via the idle bandwidth of the data transmission channel of regional stability control systems and analyzes the differences between communications of regional stability control systems and video-audio data packets. What's more, it gives a coding algorithm which mix coded two different data types and a distortionless real-time separation recognition algorithm. At last, it uses priority designated method to solve the contradiction between data timeliness of the stability control systems and excessive video-audio data traffic, in addition, establishes an actual stability control system model (one-to-one or one-to-many) for experimental verification. The test results show that stability control system works safely and reliably, the image transmission is smooth and clear, and using the method mentioned above has significantly improved the utilization of the communication channel. The research achievement has been used in the stability control systems of 220 kV Duanzhou transfolxner substation and 1120 MW Yunfu power plant, which effectively improves the efficiency and the accuracy of the stability control systems joint debugging, and provides a great convenience in the day-to-day operation and maintenance monitoring.
出处
《电力系统保护与控制》
EI
CSCD
北大核心
2013年第10期80-85,共6页
Power System Protection and Control
关键词
稳控系统
联调通信
2
M通道
视音频
码流混编
无损分离
regional stability control systems
joint debugging communications
2 M channel
video and audio coding
mix coded separation recognition