Application of Liquid Hydrogen with SMES for Efficient Use of Renewable Energy in the Energy InternetReport as inadecuate


Application of Liquid Hydrogen with SMES for Efficient Use of Renewable Energy in the Energy Internet


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1

School of Electrical Engineering, Wuhan University, Wuhan 430072, China

2

State Grid Hubei Electric Power Economic and Technology Research Institute, Wuhan 430077, China





*

Author to whom correspondence should be addressed.



Academic Editor: Hailong Li

Abstract Considering that generally frequency instability problems occur due to abrupt variations in load demand growth and power variations generated by different renewable energy sources RESs, the application of superconducting magnetic energy storage SMES may become crucial due to its rapid response features. In this paper, liquid hydrogen with SMES LIQHYSMES is proposed to play a role in the future energy internet in terms of its combination of the SMES and the liquid hydrogen storage unit, which can help to overcome the capacity limit and high investment cost disadvantages of SMES. The generalized predictive control GPC algorithm is presented to be appreciatively used to eliminate the frequency deviations of the isolated micro energy grid including the LIQHYSMES and RESs. A benchmark micro energy grid with distributed generators DGs, electrical vehicle EV stations, smart loads and a LIQHYSMES unit is modeled in the Matlab-Simulink environment. The simulation results show that the proposed GPC strategy can reschedule the active power output of each component to maintain the stability of the grid. In addition, in order to improve the performance of the SMES, a detailed optimization design of the superconducting coil is conducted, and the optimized SMES unit can offer better technical advantages in damping the frequency fluctuations. View Full-Text

Keywords: superconducting magnetic energy storage SMSE; load frequency control; generalized predictive control GPC; energy internet superconducting magnetic energy storage SMSE; load frequency control; generalized predictive control GPC; energy internet





Author: Xin Wang 1, Jun Yang 1,* , Lei Chen 1 and Jifeng He 2

Source: http://mdpi.com/



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