[1]马民,秦佳,杨东升,等.人工智能在电力系统中的应用综述[J].郑州大学学报(工学版),2019,40(05):22-30.
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人工智能在电力系统中的应用综述
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《郑州大学学报(工学版)》[ISSN:1671-6833/CN:41-1339/T]

卷:
40
期数:
2019年05期
页码:
22-30
栏目:
出版日期:
2019-09-20

文章信息/Info

作者:
马民秦佳杨东升周博文庞永恒汉焕英
国网辽宁省电力有限公司阜新供电公司,辽宁阜新123000; 2.东北大学信息科学与工程学院, 辽宁沈阳110000
关键词:
人工智能电力系统感知预测管理控制安全维护
Keywords:
artificial Intelligence power system perception prediction management control security maintenance
文献标志码:
A
摘要:
电力系统的发展程度是一个国家经济水平的重要评判指标.随着分布式可再生能源的不断接入 与电网规模的不断扩大,电力系统正逐渐趋于复杂化,电力数据呈现出多源、异构、大量等典型的大数据 特性,这对电力问题的分析处理方法提出了更高的要求.人工智能(artificial intelligence, AI)是未来科技 进步的关键,我国已将推进人工智能发展提升为国家战略并将电力系统定为人工智能主要应用领域之 一,人工智能的发展也为电力系统规划设计、仿真模拟、协调控制、预测估计、诊断识别等问题提供了强 有力的工具.本文从近几年世界各国人工智能政策需求入手,主要讨论了以感知预测、管理控制、安全维 护为主的人工智能在电力系统中的主要应用方向;以人工智能自身应用短板为基础,剖析了人工智能技 术在电力应用领域的不足之处,深入挖掘了人工智能在不同电力应用方向的问题所在;并着眼于人工智 能大局发展趋势,对电力智能化发展提出建议与展望.
Abstract:
The development of electric power system was an important evaluation index of national economic level. With the continuous access of distributed renewable energy and the continuous expansion of power grid scale, the power system was gradually become more and more complicated. The power data with the characteristics of multi-source, heterogeneous, large amounts of typical big data, which puts forward higher requirements for the analysis and processing methods of power problems. Artificial intelligence wass the key to the future science and technology progress. China has to promote the development of Artificial Intelligence to national strategy. The emergence and development of artificial intelligence could provide powerful tools for power system planning and design, simulation, coordination and control, prediction and estimation, diagnosis, and recognition. Power system was one of the main application fields of artificial intelligence in our country. This review began with the policy requirements of artificial intelligence in the world in recent years ; and mainly discussed the main application direction of artificial intelligence in power system, which focused on perception prediction, management control and security maintenance. Then, based on the shortcoming of the application of artificial intelligence itself, the shortcomings of artificial intelligence technology in the field of electric power application wass analyzed. In addition, based on the characteristics of various directions, the problems of artificial intelligence in different directions of electric power application was deeply explored. Finally, suggestions and prospects for the development of intelligent power was put forward in view of the overall development trend of artificial intelligence.

相似文献/References:

[1]朱晓东,王颖,杨之乐,等.启发式多目标优化算法在能源和电力系统中的典型应用综述[J].郑州大学学报(工学版),2019,40(05):1.
[2]朱俊丞,杨之乐,郭媛君,等.深度学习在电力负荷预测中的应用综述[J].郑州大学学报(工学版),2019,40(05):12.

更新日期/Last Update: 2019-10-26