Application of Artificial Intelligence in the Field of Power Systems
Journal of Electrical and Electronic Engineering
Volume 7, Issue 1, February 2019, Pages: 23-28
Received: Jan. 10, 2019; Published: Mar. 8, 2019
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Authors
Xu Jizhi, School of Electrical Engineering, Xinjiang University, Urumqi, China
Zhang Xinyan, Engineering Research Center for Renewable Energy Power Generation and Grid Technology, Education Ministry, Urumqi, China
Li Jianwei, School of Electrical Engineering, Xinjiang University, Urumqi, China
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Abstract
In recent years, the development of power systems has advanced by leaps and bounds. With the development of artificial intelligence, new directions have emerged. China has upgraded the development of artificial intelligence to a national strategy. A new proportion of new energy terminals is connected to the power grid. Modern power systems present complexity and uncertainty. Artificial intelligence technology will be an effective measure to solve complex system control and decision problems. Based on the application of artificial intelligence in the field of power system application. As a key link in the end-use of energy systems, the degree of intelligence of the power system will greatly affect the smooth implementation of the above technological innovations and advancements. At the same time, the pivotal link of the power system will cause the energy system to focus on the power system and Energy-related technologies are the basis for the integration and integration of the entire energy system. Therefore, it is essential to focus on the development of intelligent technologies in the power system. this paper expounds the application of artificial intelligence technology in power system scheduling, planning and power market.
Keywords
Artificial Intelligence, Intelligent Scheduling, New Generation of Electric Power System
To cite this article
Xu Jizhi, Zhang Xinyan, Li Jianwei, Application of Artificial Intelligence in the Field of Power Systems, Journal of Electrical and Electronic Engineering. Vol. 7, No. 1, 2019, pp. 23-28. doi: 10.11648/j.jeee.20190701.13
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