Distributionally Robust Low-Carbon Scheduling Model for Virtual Power Plants Considering Emerging Distributed Resources and Electricity Carbon Trading
Swarm Intelligent Operation and Optimal Control of Virtual Power Plant•Hosted by GAO Yang, SHANG Ce, HU Xiao, XIA Yuanxing, ZHENG Xiaodong, YANG Nan•|更新时间:2025-08-05
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Distributionally Robust Low-Carbon Scheduling Model for Virtual Power Plants Considering Emerging Distributed Resources and Electricity Carbon Trading
“In the field of low-carbon economy, experts have proposed a robust low-carbon scheduling model for virtual power plant distribution, which effectively reduces scheduling costs, abandoned electricity, and carbon emissions, providing a solution for the low-carbon operation of virtual power plants.”
Electric Power ConstructionVol. 46, Issue 7, Pages: 13-26(2025)
作者机构:
1.河北电力交易中心有限公司,石家庄市 050022
2.四川大学电气工程学院,成都市 610065
作者简介:
基金信息:
National Natural Science Foundation of China(52307123)
WANG Jiayi,HE Shuaijia.Distributionally Robust Low-Carbon Scheduling Model for Virtual Power Plants Considering Emerging Distributed Resources and Electricity Carbon Trading[J].Electric Power Construction,2025,46(07):13-26.
WANG Jiayi,HE Shuaijia.Distributionally Robust Low-Carbon Scheduling Model for Virtual Power Plants Considering Emerging Distributed Resources and Electricity Carbon Trading[J].Electric Power Construction,2025,46(07):13-26. DOI: 10.12204/j.issn.1000-7229.2025.07.002.
Distributionally Robust Low-Carbon Scheduling Model for Virtual Power Plants Considering Emerging Distributed Resources and Electricity Carbon Trading