Research on CCHP System Grid Connection Interface Device Based on Elman Neural Network. (September 2020)

• Record Type: Journal Article
• Authors: He, Hongyan; Chen, Rui; Xu, Jianqiang; Ding, Kai; Zhu, Xiaofan; Zhou, Guoqi; He, Shengguo; Huang, Zhiwei; Xiao, Shengyuan; Zhou, Xiang; Luo, Laifeng; Fang, Xiaomin; Peng, Wenjian; Cui, Xingjun
• Is Part Of: Journal of physics. Volume 1646(2020)
• Publication Date: 2020-09
• Subjects: Physics -- Congresses; 530.5
• DOI: 10.1088/1742-6596/1646/1/012094
• Languages: English
• ISSNs: 1742-6588

Abstract

Abstract: With the promotion of the concepts of "energy Internet" and "multi energy complementation", the combined cold heat and power (CCHP) system technology has been paid more and more attention by the energy power circles at home and abroad. CCHP system generates electricity through internal combustion engine, meanwhile, the waste heat discharged after power generation is supplied with heat and cooling to users through waste heat recovery equipment, so as to effectively improve the energy utilization rate. However, with the development of information and intelligence in the power grid, the threat of various network malicious attacks on the power industrial control terminal is growing. The traditional CCHP system grid connection interface device operating environment is open and vulnerable to network malicious attacks. In this paper, an interface device of CCHP based on Elman neural network algorithm is proposed. The technical problem to be solved is to be able to realize active defense against unknown attacks and improve the security and operation reliability of CCHP system.