Open AccessResearch on CCHP System Grid Connection Interface Device Based on Elman Neural Network
Author(s) -
Hongyan He,
Rui Chen,
Jianqiang Xu,
Kai Ding,
Xiaofan Zhu,
Guoqing Zhou,
Shengguo He,
Zhiwei Huang,
Shengyuan Xiao,
Xiang Zhou,
Laifeng Luo,
Xiaomin Fang,
Wenjian Peng,
Cui Xing-jun
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1646/1/012094
Subject(s) - interface (matter) , reliability (semiconductor) , waste heat , electricity , power (physics) , artificial neural network , energy (signal processing) , grid , distributed generation , engineering , computer science , automotive engineering , embedded system , heat exchanger , electrical engineering , operating system , mechanical engineering , renewable energy , artificial intelligence , statistics , physics , geometry , mathematics , bubble , quantum mechanics , maximum bubble pressure method
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.