Function design and system architecture of disaster prevention and dispatch system in power system based on big data platform

被引：0
|
作者：
机构：
[1] Wang, Yifei
[2] Zhang, Hang
[3] He, Di
[4] Guo, Chuangxin
[5] Zhu, Wenbing
[6] Yang, Wei
来源：
Zhang, Hang (ncepuzhanghang@126.com) | 1600年 / Power System Technology Press卷 / 40期
关键词：
Data transfer - Decision making - Computer architecture - Data integration - Electric load dispatching - Information management - Human resource management - SCADA systems - Scheduling - Big data - Emergency services - Risk management;
D O I：
10.13335/j.1000-3673.pst.2016.10.040
中图分类号：
学科分类号：
摘要：
To improve current shortages in power disaster prevention, mitigation, relief and dispatch, the paper illustrates big data demand in power disaster prevention and mitigation and analyzes big data meaning in power disaster prevention. Power grid disaster prevention and dispatch system (DPDS)is proposed. Its main functions and data flow are designed. Decision process is analyzed before, during and after disaster. The system is designed for scheduling decision makers and emergency management personnel, and aims to improve big data integration for grid disaster prevention, sharing and collaborative decision-making. It is a complement of popular SCADA/EMS systems in disaster prevention and emergency response. The big-data architecture includes 5 layers, i. e. infrastructure, data sources, data adapter, big data platform and advanced application. Key-points for building the system are analyzed in terms of system construction, advanced application and system security. At last, DPDS effectiveness is illustrated with two typical scenarios. © 2016, Power System Technology Press. All right reserved.
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