...
首页> 外文期刊>Energies >Application of Liquid Hydrogen with SMES for Efficient Use of Renewable Energy in the Energy Internet
【24h】

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

机译:液氢和SMES在能源互联网中有效利用可再生能源的应用

获取原文
           

摘要

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.
机译:考虑到通常由于负载需求增长的突然变化和由不同的可再生能源(RES)产生的功率变化而发生频率不稳定性问题,超导磁储能器(SMES)的应用由于其快速响应特性而变得至关重要。本文提出了利用SMES(LIQHYSMES)的液态氢,将SMES与液态氢存储单元相结合,在未来的能源互联网中发挥作用,这可以克服容量限制和投资成本高的缺点SMES。提出了广义预测控制(GPC)算法,该算法可用于消除孤立的微能源网格(包括LIQHYSMES和RES)的频率偏差。在Matlab / Simulink环境中对具有分布式发电机(DG),电动汽车(EV)站,智能负载和LIQHYSMES单元的基准微能源网格进行了建模。仿真结果表明,提出的GPC策略可以重新调度每个组件的有功功率输出,以保持电网的稳定性。另外,为了提高SMES的性能,对超导线圈进行了详细的优化设计,优化后的SMES单元在衰减频率波动方面具有更好的技术优势。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号