Emotional Deep Learning Programming Controller for Automatic Voltage Control of Power Systems

doi:10.1109/ACCESS.2021.3060620

	Emotional Deep Learning Programming Controller for Automatic Voltage Control of Power Systems
	Yin, Linfei 1; Zhang, Chenwei 1; Wang, Yaoxiong 2; Gao, Fang 1; Yu, Jun 3; Cheng, Lefeng 4
刊名	IEEE ACCESS
	2021
卷号	9
关键词	Training Automatic voltage control Deep learning Power system stability Neural networks Neurons Tuning Automatic voltage regulator emotional deep learning programming controller emotional deep neural network
ISSN号	2169-3536
DOI	10.1109/ACCESS.2021.3060620
通讯作者	Gao, Fang(fgao@gxu.edu.cn)
英文摘要	In recent years, the rapid development of artificial intelligence, especially deep learning technology, makes machine learning have application scenarios in the fields of power system stability analysis, coordination along with scheduling and load forecasting. This paper designs an emotional deep learning programming controller (EDLPC) for automatic voltage control of power systems. The designed EDLPC contains an emotional deep neural network (EDNN) structure and an artificial emotional Q-learning algorithm. Besides, a specially defined proportional-integral-derivative (PID) controller is added to the deep neural networks (DNNs) structure as the actuator of an EDNN to realize the automatic tuning of PID controller parameters. In terms of control, the controller combines the advantages of the EDNN and PID controller, meanwhile adopts a reinforcement learning algorithm to optimize the parameters. From the perspective of reinforcement learning, embedding prior knowledge into the output instructions of EDNN is helpful to weaken the fitting problem in the training process. Compared with the outputs of the DNN and Q-learning algorithm under the two cases, the EDLPC could gain the highest control performance with smaller voltage deviations. The simulation results verify the feasibility and effectiveness of the proposed method for automatic voltage control of power systems.
资助项目	Natural Science Foundation of Guangxi Province[AD19245001] ; Natural Science Foundation of Guangxi Province[2020GXNSFBA159025] ; National Natural Science Foundation of China[61773359] ; National Natural Science Foundation of China[61720106009] ; National Natural Science Foundation of China[U1736123] ; University of Science and Technology of China (USTC) Research Funds of the Double First-Class Initiative[YD2350002001] ; Department of Education of Guangdong Province Innovative of 2020 and Strong School Project (Natural Sciences)~Young Innovators Project (Natural Sciences)[2020KQNCX05]
WOS研究方向	Computer Science ; Engineering ; Telecommunications
语种	英语
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号	WOS:000623417200001
资助机构	Natural Science Foundation of Guangxi Province ; National Natural Science Foundation of China ; University of Science and Technology of China (USTC) Research Funds of the Double First-Class Initiative ; Department of Education of Guangdong Province Innovative of 2020 and Strong School Project (Natural Sciences)~Young Innovators Project (Natural Sciences)
内容类型	期刊论文
源URL	[http://ir.hfcas.ac.cn:8080/handle/334002/120565]
专题	中国科学院合肥物质科学研究院
通讯作者	Gao, Fang
作者单位	1.Guangxi Univ, Coll Elect Engn, Nanning 530004, Peoples R China 2.Chinese Acad Sci, Inst Intelligent Machines, Hefei 230031, Peoples R China 3.Univ Sci & Technol China, Dept Automat, Hefei 230026, Peoples R China 4.Guangzhou Univ, Sch Mech & Elect Engn, Guangzhou 510006, Peoples R China
推荐引用方式 GB/T 7714	Yin, Linfei,Zhang, Chenwei,Wang, Yaoxiong,et al. Emotional Deep Learning Programming Controller for Automatic Voltage Control of Power Systems[J]. IEEE ACCESS,2021,9.
APA	Yin, Linfei,Zhang, Chenwei,Wang, Yaoxiong,Gao, Fang,Yu, Jun,&Cheng, Lefeng.(2021).Emotional Deep Learning Programming Controller for Automatic Voltage Control of Power Systems.IEEE ACCESS,9.
MLA	Yin, Linfei,et al."Emotional Deep Learning Programming Controller for Automatic Voltage Control of Power Systems".IEEE ACCESS 9(2021).