感知化理论及其在城市电网运行综合评估中的研究应用
Cognitive Theory and Its Research and Application in Comprehensive Evaluation of Urban Power Grid Operation
DOI: 10.12677/SG.2016.65033, PDF, HTML, XML, 下载: 1,555  浏览: 4,534  科研立项经费支持
作者: 龚泽玮, 李 欣, 陆以军：广州供电局有限公司，广东 广州；郭自豪：北京清大科越科技有限公司，北京
关键词: 城市电网运行；综合评估；感知化；可视化；Urban Power Grid Operation； Comprehensive Evaluation； Cognitive； Visualization
摘要: 感知化技术实质上是一种深层次的信息加工技术，通过模仿人的感知与思维方式，用人工智能方法执行一些基本的识别与推理任务，使得人类能够具备对模糊、庞杂的特定信息集产生快速准确判断的能力，并直接在脑海中产生具体的认知图景。通过深入研究调度人员的认知规律，以认知心理学、视觉心理学、思维科学、人工智能、信息组织学等为其理论基础，结合大量丰富多样的图形可视化技术，实现城市电网运行数据的形象展示和信息的高效表达。基于感知化理论的城市电网运行综合评估体系包括6个模块：电网规模、安全运行、经济运行、优质运行、节能环保以及工作管理。
Abstract: Cognitive technology is essentially a deep information processing technology. By imitating human perception and mode of thinking, using artificial intelligence method to perform some basic recognition and reasoning tasks, it enables the human to have ability to quick and accurate judge fuzzy and heterogenious specific information set, and directly produces specific cognitive picture in your mind. Through further study of the scheduling personnel’s cognitive rules, based on cognitive psychology, visual psychology, noetic science, artificial intelligence (ai), and information or-ganization as its theoretical basis, combined with a large number of rich and varied graphical vis-ualization technology, the image show of urban power grid’s operation data and efficient expression of information are realized. Cognitive theory-based comprehensive evaluation system of urban power grid operation includes six modules: The grid size, safe operation, economic operation, superior quality operation, energy conservation and environmental protection, job management.
文章引用：龚泽玮, 李欣, 郭自豪, 陆以军. 感知化理论及其在城市电网运行综合评估中的研究应用[J]. 智能电网, 2016, 6(5): 295-305. http://dx.doi.org/10.12677/SG.2016.65033

参考文献

[1] 张鹏飞, 张晓娟, 张诚. 电力系统可视化技术研究[G]. 甘肃省电机工程学会2010年度获奖优秀学术论文集, 2010.
[2] 洪文学, 王金甲. 可视化和可视化分析学[J]. 燕山大学学报, 2010, 34(2): 95-99.
[3] Endsley, M.R. (1994) Situation Awareness in Dynamic Human Decision Making: Theory. In: Gilson, R.D., Garland, D.J. and Koonce, J.M., Eds., Situational Awarence in Complex Systems, Embry-Riddle Aeronautical University Press, Daytona Beach, 27-58.
[4] SA Technologies. http://www.satechnologies.com/
[5] Wong, P.C. and Thomas, J. (2004) Visual Analytics. IEEE Computer Graphics and Applications, 24, 20-21.
http://dx.doi.org/10.1109/MCG.2004.39
[6] Mackinlay, J.D., Hanrahan, P. and Stolte, C. (2007) Show Me: Automatic Presentation for Visual Analysis. IEEE Transactions on Visualization and Computer Graphics, 13, 1137-1144.
http://dx.doi.org/10.1109/TVCG.2007.70594
[7] Feibush, E., Gagvani, N. and Williams, D. (2000) Visualization for Situational Awareness. IEEE Computer Graphics and Applications, 20, 38-45.
http://dx.doi.org/10.1109/38.865878
[8] Livnat, Y., Agutter, J., Shaun, M., et al. (2005) Visual Correlation for Situa-tional Awareness. IEEE Symposium on Information Visualization, 23-25 October 2005, Minneapolis, 95-102.
[9] Ma, K.L. and Muelder, C.W. (2013) Large-Scale Graph Visualization and Analytics. Computer, 46, 39-46.
http://dx.doi.org/10.1109/MC.2013.242
[10] Cardell-Oliver, R. and Liu, W. (2010) Representation and Recognition of Situations in Sensor Networks. IEEE Communications Magazine, 48, 112-117.
http://dx.doi.org/10.1109/MCOM.2010.5434382
[11] De Boer, R.C., Lago, P., Telea, A., et al. (2009) Ontology-Driven Visualization of Architectural Design Decisions. Joint Working IEEE/IFIP Conference on Software Architecture, 14-17 September 2009, Cambridge, UK, 51-60.
[12] 章坚民, 陈昊, 陈建, 等. 智能电网态势图建模及态势感知可视化的概念设计[J]. 电力系统自动化, 2014, 38(9): 168-176.
[13] 陈佳, 孙宏斌, 汤磊, 等. 电力系统控制中心三维可视化技术及其实时应用[J]. 电力系统可视化, 2008, 32(6): 20-24.
[14] 刘俊勇, 沈晓东, 田立峰, 等. 智能电网下可视化技术的展望[J]. 电力自动化设备, 2010, 30(1): 7-13.
[15] Overbye, T.J. and Weber, J.D. (2000) Visualization of Power System Data. Proceedings of 33rd Annual Hawaii International Conference on System Sciences, 4-7 January 2000, Hawaii, 7 p.
[16] Klump, R., Dooley, G. and Wu, W. (2000) Displaying Aggregate Data, Interrelated Quantities, and Data Trends in Electric Power Systems. Proceedings of 36th Hawaii International Conference on System Sciences, 6-9 January 2000, Hawaii, 10 p.
[17] Sun, Y. and Overbye, T.J. (2004) Visualizations for Power System Contingency Analysis Data. IEEE Transactions on Power Systems, 19, 1859-1866.
http://dx.doi.org/10.1109/TPWRS.2004.836193
[18] Zhu, J., Zhuang, E., Ivanov, C., et al. (2011) A Data-Driven Approach to Interactive Visualization of Power Systems. IEEE Trans on Power Systems, 26, 2539-2546.
http://dx.doi.org/10.1109/TPWRS.2011.2119499
[19] 刘娆, 李卫东, 吕阳. 电力系统运行状态可视化技术综述[J]. 电力系统自动化, 2004, 28(8): 92-97.
[20] 陈玮, 罗毅, 涂光瑜, 等. 动态监视下电力系统状态的可视化[J]. 电力系统自动化, 2004, 28(8): 68-71.
[21] 汪际峰. 南方电网一体化电网运行智能系统建设初探[J]. 南方电网技术, 2012, 6(2): 1-5.

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