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Application of AI techniques in monitoring and operation of power systems |
David Wenzhong GAO1, Qiang WANG2, Fang ZHANG3(), Xiaojing YANG2, Zhigang HUANG2, Shiqian MA5, Qiao LI4, Xiaoyan GONG6, Fei-Yue WANG6 |
1. University of Denver, Denver, CO 80210, USA; China State Key Laboratory of Power System, Department of Electrical Engineering, Tsinghua University, Beijing 100084, China 2. State Grid Tianjin Electric Power Company, Tianjin 300010, China 3. China State Key Laboratory of Power System, Department of Electrical Engineering, Tsinghua University, Beijing 100084, China 4. University of Denver, Denver, CO 80210, USA 5. State Grid Tianjin Electric Power Research Institute, Tianjin 300384, China 6. Chinese Academy of Sciences (SKL-MCCS, CASIA), Beijing 100190, China |
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Abstract In recent years, the artificial intelligence (AI) technology is becoming more and more popular in many areas due to its amazing performance. However, the application of AI techniques in power systems is still in its infancy. Therefore, in this paper, the application potentials of AI technologies in power systems will be discussed by mainly focusing on the power system operation and monitoring. For the power system operation, the problems, the demands, and the possible applications of AI techniques in control, optimization, and decision making problems are discussed. Subsequently, the fault detection and stability analysis problems in power system monitoring are studied. At the end of the paper, a case study to use the neural network (NN) for power flow analysis is provided as a simple example to demonstrate the viability of AI techniques in solving power system problems.
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Keywords
power system operation and monitoring
artificial intelligence (AI)
deep learning
power flow analysis
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Corresponding Author(s):
Fang ZHANG
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Online First Date: 04 September 2018
Issue Date: 20 March 2019
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