Paper
25 April 2022 Low-carbon constraint-oriented peak shaving optimization method for nuclear power integration into power system
Chunliang Fu, Linhua Gong, Jiafa Hu, Jiangjing Lin
Author Affiliations +
Proceedings Volume 12244, 2nd International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2022); 122444Y (2022) https://doi.org/10.1117/12.2634920
Event: 2nd International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2022), 2022, Guilin, China
Abstract
The rapid development of nuclear power energy has effectively alleviated the social power demand. However, the sensitive characteristics of nuclear power plant operation disturbances have a certain impact on the grid load. In order to improve the peak-shaving capability of nuclear power integration into the power system, a peak-shaving optimization method is proposed on the basis of full consideration of low-carbon constraints. First of all, this article introduces the principle of low-carbon restraint and establishes an evaluation framework for energy conservation and economic operation. Secondly, the peak shaving optimization problem is formally described, the sum of comprehensive costs is minimized as the objective function of optimal dispatching, and the corresponding constraints are set. In addition to considering the operation cost, the safety output characteristics of nuclear power units during peak shaving are considered, and multiple constraints are established. Finally, the peak shaving capacity of power system is determined, and the peak shaving optimization strategy of nuclear power access power system is formulated. The example results show that after the application of this method, the output of nuclear power unit is improved, the peak shaving accuracy and time-consuming are better than the traditional method, and the cost is effectively reduced, which shows that this method has high application value.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chunliang Fu, Linhua Gong, Jiafa Hu, and Jiangjing Lin "Low-carbon constraint-oriented peak shaving optimization method for nuclear power integration into power system", Proc. SPIE 12244, 2nd International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2022), 122444Y (25 April 2022); https://doi.org/10.1117/12.2634920
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KEYWORDS
Wind energy

System integration

Power supplies

Photovoltaics

Safety

Data modeling

Thermoelectric materials

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