RESEARCH ARTICLE

Optimal dispatch of multi energy system using power-to-gas technology considering flexible load on user side

  • Zi LING ,
  • Xiu YANG ,
  • Zilin LI
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  • College of Electric Engineering, Shanghai University of Electric Power, Shanghai 200090, China

Received date: 10 Jun 2018

Accepted date: 23 Sep 2018

Published date: 21 Dec 2018

Copyright

2018 Higher Education Press and Springer-Verlag GmbH Germany, part of Springer Nature

Abstract

The relation between power-to-gas technology (P2G) and energy interconnection becomes increasingly close. Meanwhile, the participation of flexible load on user side in system optimization has attracted much attention as an efficient approach to relieve the contradiction between energy supply and energy demand. Based on the concept of energy hub, according to its series characteristic, this paper established a generic multi-energy system model using the P2G technology. The characteristic of flexible load on user side was considered and optimal dispatch analysis was made, so as to reduce the cost, to reasonably dispatch the flexible load, to reduce the discharge, to enhance the new energy output, and to increase the power-to-gas conversion efficiency. Finally, a concrete analysis was made on the optimal dispatch result of the multi-energy system using the P2G technology considering flexible load on user side in the calculating example, and optimal dispatch of the system was verified via four different scenarios. The results indicate that cooperative dispatch of multi-energy system using the P2G technology considering flexible load on user side is the most economic, and can make a contribution to absorption of new energy and P2G conversion. In this way, environmental effects and safe and stable operation of the system can be guaranteed.

Cite this article

Zi LING , Xiu YANG , Zilin LI . Optimal dispatch of multi energy system using power-to-gas technology considering flexible load on user side[J]. Frontiers in Energy, 2018 , 12(4) : 569 -581 . DOI: 10.1007/s11708-018-0595-6

Acknowledgments

This work was financially supported by the local capacity construction plan of Shanghai Municipal Science and Technology Commission (No. 16020500900).
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