一种馈线自动化仿真培训系统

高洪雨; 陈 青; 徐丙垠; 王 磊; 宋卫平

引用本文:	高洪雨,陈青,徐丙垠,等.一种馈线自动化仿真培训系统[J].电力系统保护与控制,2016,44(10):131-136.
	GAO Hongyu,CHEN Qing,XU Bingyin,et al.A simulation training platform for feeder automation[J].Power System Protection and Control,2016,44(10):131-136

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一种馈线自动化仿真培训系统
高洪雨^1,2,陈青¹,徐丙垠³,王磊²,宋卫平⁴
(1.电网智能化调度与控制教育部重点实验室(山东大学)，山东济南 250061;2.国网技术学院，山东济南 250002; 3..山东理工大学智能电网研究中心，山东淄博 255049;4.国网山东省电力公司泰安供电公司，山东泰安 271000)

摘要:

针对复杂配电自动化生产过程操作实验成本较高，影响供电可靠性以及危险性较大等问题，给出了一种馈线自动化仿真培训平台构建方法。利用该方法，对配电主站、配电一次系统、EPON通信系统组成的馈线自动化系统进行仿真，实现了配电系统、EPON系统故障模拟，并对常见EPON系统故障进行了实测分析。理论分析与仿真案例表明，基于EPON通信的馈线自动化仿真系统建模方法是可行和有效的。该模型能反映馈线自动化系统的实际运行特性，从而提高仿真模型的精确性和仿真功能的多样性。

关键词: EPON通信馈线自动化仿真培训故障模拟

DOI：10.7667/PSPC151097

分类号:

基金项目:国家自然科学基金项目(51407105)

A simulation training platform for feeder automation

GAO Hongyu^1,2,CHEN Qing¹,XU Bingyin³,WANG Lei²,SONG Weiping⁴

(1. Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education (Shandong University),
Jinan 250061, China; ;2. State Grid of China Technology College, Jinan 250002, China; ;3. Research Center for Smart Grid,
Shandong University of Technology, Zibo 255049, China; ;4. Taian Power Supply Company,
Shandong Electric Power Corporation, Taian 271000, China)

Abstract:

A novel construction method of feeder automation simulation training platform based on EPON is proposed to reduce the experimental cost of distribution automation system, improve the reliability of power supply and escape from harm of high voltage operation. By this method, the micro-simulation system consists of distribution simulation networks and EPON communication links served with power station system. At the same time, this paper proposes the fault setting algorithm of distribution network and EPON system, analyzes measured fault data of the communication system. The theory and cases show that, the simulation method of feeder automation based on EPON is feasible and effective. The system modules can simulate the operation characteristics of feeder automation, and thus improve the accuracy and diversity of the simulation function. This work is supported by National Natural Science Foundation of China (No. 51407105).

Key words: EPON communication feeder automation simulation training fault simulator

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