Multi-power sources joint optimal scheduling model considering nuclear power peak regulation

Qisheng Guo, Xi Wu, Hui Cai, Liang Cheng, Junhui Huang, Yichen Liu and Kangwen Chen

Energy, 2024, vol. 293, issue C

Abstract: Nuclear power peak regulation is an effective means to alleviate the difficult situation of peak regulation, adapt to the high penetration of photovoltaic power, and solve the problem of increasing load peak-to-valley difference. However, the peak regulation cost quantification model of nuclear power is not yet complete, the safety constraints of nuclear power peak regulation are not accurate enough, and the unit combination is not comprehensive enough. Therefore, this paper proposes a nuclear-photovoltaic-energy storage-pumped storage-thermal multi-power sources joint optimal scheduling model considering nuclear power peak regulation. Among them, a multi-gear flexible peak regulation model is established based on the operation characteristics of nuclear power peak regulation; the peak regulation cost of nuclear power is quantitatively analyzed from various factors; the power path linear constraint is supplemented and optimized, which strictly guarantees the safe output of nuclear power. In addition, under the background of large-scale nuclear and photovoltaic power integration, the joint coordinated operation of multi-power sources including nuclear and photovoltaic power is studied. The example simulation verifies that the proposed model significantly optimizes nuclear power peak regulation mode, promotes photovoltaic power consumption, alleviates peak regulation pressure, and improves the system's economic level.

Keywords: Nuclear power; Photovoltaic power; Cost quantification mode; Safety constraints; Multi-power sources; Optimal scheduling (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:293:y:2024:i:c:s036054422400450x

DOI: 10.1016/j.energy.2024.130678

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