| 基于电力大数据的谐波仿真系统 |
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| 引用本文： | 李寒,张成宇,王同勋,王翀.基于电力大数据的谐波仿真系统[J].计算机系统应用,2019,28(8):87-94. |
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| 作者姓名： | 李寒 张成宇 王同勋 王翀 |
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| 作者单位： | 北方工业大学 计算机学院, 北京 100144;大规模流数据集成与分析技术北京市重点实验室, 北京 100144;全球能源互联网研究院先进输电技术国家重点实验室,北京,102211;国网江苏省电力有限公司 信息通信分公司,南京,210024 |
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| 基金项目： | 北京市教育委员会科技计划一般项目（SQKM201810009004）；国家自然科学基金青年科学基金项目（61702014） |
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| 摘 要： | 鉴于谐波对电力系统的安全、经济、运行都存在严重危害，本文从可视化建模、仿真计算、以及电力大数据与谐波仿真系统的结合方面探讨并提出一种基于电力大数据的谐波仿真系统.系统基于GEF和JavaFX技术实现电网图的可视化绘制和计算结果的图形化呈现.系统扩展openDSS谐波计算引擎实现多种传统和新型的仿真模型.系统还以电力大数据作为输入，不仅降低了人工输入数据的工作量和错误率，还具有更好的仿真效果.案例分析表明该系统能够有效支撑谐波仿真计算，具有直观，易于操作和易于扩展的特性，且是电力大数据与谐波仿真系统相结合的新尝试.
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| 关 键 词： | 仿真 谐波 可视化建模 电力大数据 openDSS |
| 收稿时间： | 2019/2/13 0:00:00 |
| 修稿时间： | 2019/3/1 0:00:00 |
Electric Power Big Data Based Harmonic Simulation System |
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| LI Han,ZHANG Cheng-Yu,WANG Tong-Xun and WANG Chong.Electric Power Big Data Based Harmonic Simulation System[J].Computer Systems& Applications,2019,28(8):87-94. |
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| Authors: | LI Han ZHANG Cheng-Yu WANG Tong-Xun and WANG Chong |
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| Affiliation: | College of Computer Science, North China University of Technology, Beijing 100144, China;Beijing Key Laboratory on Integration and Analysis of Large-scale Stream Data, Beijing 100144, China,College of Computer Science, North China University of Technology, Beijing 100144, China;Beijing Key Laboratory on Integration and Analysis of Large-scale Stream Data, Beijing 100144, China,State Key Laboratory of Advanced Power Transmission Technology, Global Energy Interconnection Research Institute, Beijing 102211, China and Information and Communication Branch, State Grid Jiangsu Electric Power Co. Ltd., Nanjing 210024, China |
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| Abstract: | In view of the negative effect of harmonics on the safety, the economics, and the operation of electric power system, this work proposes an electric power big data based harmonic simulation system which is studied from the aspects of visual modeling, harmonic computation, and the combination of electric power big data and harmonic simulation system. Based on GEF and JavaFX, the grid network is visually built and the simulation results are graphically represented. By extending openDSS, traditional and new harmonic simulation models are implemented. Meanwhile, electric power big data is used as input, which can not only reduce the workload and error rate of manually inputting data, but also get better simulation results. Case study shows that the proposed system is able to support harmonic simulation, is more intuitive, is easy to be operated and extended, and is a new attempt to combing electric power big data and harmonic simulation system. |
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| Keywords: | simulation harmonic visual modeling electric power big data openDSS |
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