Convex-Hull Pricing of Ancillary Services for Power System Frequency Regulation With Renewables and Carbon-Capture-Utilization-and-Storage Systems-Reference-Cited by-同舟云学术

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Convex-Hull Pricing of Ancillary Services for Power System Frequency Regulation With Renewables and Carbon-Capture-Utilization-and-Storage Systems

Published:2024-09 Issue:5 Volume:39 Page:6615-6635
ISSN:0885-8950
Container-title:IEEE Transactions on Power Systems
language:
Short-container-title:IEEE Trans. Power Syst.

Author:

Lu Zelong¹^ORCID,Wang Jianxue¹^ORCID,Shahidehpour Mohammad²^ORCID,Bai Linquan³^ORCID,Li Zuyi⁴^ORCID

Affiliation:

1. School of Electrical Engineering, Xi'an Jiaotong University, Xi'an, China

2. Department of Electrical and Computer Engineering, Illinois Institute of Technology, Chicago, IL, USA

3. University of North Carolina Charlotte, Charlotte, NC, USA

4. College of Electrical Engineering, Zhejiang University, Hangzhou, China

Funder

Natural Science Foundation of Jiangsu Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/59/10640202/10443527.pdf?arnumber=10443527

Reference37 articles.

1. China maps path to carbon peak, neutrality under new development philosophy,2021

2. Ancillary services in Great Britain during the COVID-19 lockdown: A glimpse of the carbon-free future

3. Design of New Primary Frequency Control Market for Hosting Frequency Response Reserve Offers from Both Generators and Loads

4. A Coordinated Frequency Regulation and Bidding Method for Wind-electrolysis Joint Systems Participating Within Ancillary Services Markets

5. Frequency-Constrained Stochastic Planning Towards a High Renewable Target Considering Frequency Response Support From Wind Power

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Ancillary services in power system transition toward a 100% non-fossil future: Market design challenges in the United States and Europe;Electric Power Systems Research;2024-11

2. A load classification method based on data augmentation and few‐shot machine learning;IET Renewable Power Generation;2024-08

3. Pricing Balancing Ancillary Services for Low-Inertia Power Systems Under Uncertainty and Nonconvexity;2024

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