期刊
ENERGY
卷 213, 期 -, 页码 -出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.energy.2020.118829
关键词
Multiple energy systems; Optimal planning; Year-round operation; Linear programming; Long-term energy storage
资金
- International (Regional) Joint Research Project of National Natural Science Foundation of China [71961137004]
- Tsinghua University Initiative Scientific Research Program [20193080026]
- National Natural Science Foundation of China [U1766212, 71722003, 71974108]
The planning of multiple energy systems requires the optimization of energy converters, energy storage devices, renewable energy resources, and energy flow pathways across multiple energy carriers. Currently, representative days are usually used to reduce calculation burden. However, planning multiple energy systems using few discontinuous representative days cannot well capture the mid-long term operation of energy storage devices. To fill this gap, this research proposes a highly efficient pure linear programming based planning approach for district multiple energy systems considering year-round operation. An energy bus framework is presented. Based on the proposed framework, the planning problem can be established as linear programming problem instead of a mixed-integer linear programming problem, which can be solved much more efficiently. It can consider year-round 8760-h continuous operation of multiple energy systems in the planning stage, which facilitates the planning of long-term energy storage devices. Case study based on a real-life multiple energy system in Beijing, China considering long-term energy storage is carried out. In the case study, the computation time of optimization is 33 s and comparisons shows that considering year-round operation in planning reduces annualized cost by 5.3% than using 24 representative days. (C) 2020 Elsevier Ltd. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据