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Real-Time Stability Assessment of Electric Power System with Intelligent Systems
PrePrint
ISSN: 1541-1672
| ASCII Text | x | ||
| Zy Dong, Yan Xu, Pei Zhang, Kit Po Wong, "Real-Time Stability Assessment of Electric Power System with Intelligent Systems," IEEE Intelligent Systems, vol. 99, no. 1, pp. , , 5555. | |||
| BibTex | x | ||
| @article{ 10.1109/MIS.2011.41, author = {Zy Dong and Yan Xu and Pei Zhang and Kit Po Wong}, title = {Real-Time Stability Assessment of Electric Power System with Intelligent Systems}, journal ={IEEE Intelligent Systems}, volume = {99}, number = {1}, issn = {1541-1672}, year = {5555}, doi = {http://doi.ieeecomputersociety.org/10.1109/MIS.2011.41}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - MGZN JO - IEEE Intelligent Systems TI - Real-Time Stability Assessment of Electric Power System with Intelligent Systems IS - 1 SN - 1541-1672 SP EP EPD - A1 - Zy Dong, A1 - Yan Xu, A1 - Pei Zhang, A1 - Kit Po Wong, PY - 5555 KW - F.2.2 Nonnumerical Algorithms and Problems KW - G.1 Numerical Analysis KW - power system KW - smart grid KW - Intelligent Control KW - Social Computing KW - I.2 Artificial Intelligence KW - I.2.1.c Decision support KW - I.2.11.b Intelligent agents KW - I.2.11.d Multiagent systems KW - I.2.13.b Knowledge engineering methodologies KW - I.2.6.g Machine learning KW - I.5.1.b Fuzzy set KW - I.5.1.d Neural nets KW - power system anlaysis KW - intelligent system KW - VL - 99 JA - IEEE Intelligent Systems ER - | |||
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MIS.2011.41
Intelligent System (IS) techniques have been continuously attracting attentions for a variety of electric power engineering applications. A recent article has summarized, from a selection of the state-of-the-art research works, the key areas in which power systems and energy markets can benefit most from IS techniques. Along with the notable capability in solving problems like electricity market simulation, market risk management, power grid planning and voltage control, the potential of IS in facilitating power system real-time stability assessment for blackout prevention has also been clearly shown in recent years. This article systematically describes the incentive, benefit, and process of constructing IS for power system real-time stability assessment, and discusses some most critical issues in the development and implementation stages. Also, on the basis of our own research output, some possible solutions to the problems are provided. Hopefully, more attention and research efforts can be drawn, to this promising while challenging topic.
Index Terms:
F.2.2 Nonnumerical Algorithms and Problems, G.1 Numerical Analysis, power system, smart grid, Intelligent Control , Social Computing, I.2 Artificial Intelligence, I.2.1.c Decision support, I.2.11.b Intelligent agents, I.2.11.d Multiagent systems, I.2.13.b Knowledge engineering methodologies, I.2.6.g Machine learning, I.5.1.b Fuzzy set, I.5.1.d Neural nets, power system anlaysis, intelligent system,
Citation:
Zy Dong, Yan Xu, Pei Zhang, Kit Po Wong, "Real-Time Stability Assessment of Electric Power System with Intelligent Systems," IEEE Intelligent Systems, 09 May 2011. IEEE computer Society Digital Library. IEEE Computer Society, <http://doi.ieeecomputersociety.org/10.1109/MIS.2011.41>
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