Residential College | false |
Status | 已發表Published |
Exploiting demand-side heterogeneous flexible resources in risk management of power system frequency | |
Yao, Yu1; Song, Yong Hua2; Ye, Cheng Jin1; Ding, Yi1; Zhao, Yu Ming3 | |
2024-05 | |
Source Publication | SCIENCE CHINA-TECHNOLOGICAL SCIENCES |
ISSN | 1674-7321 |
Volume | 67Issue:5Pages:16120-1627 |
Abstract | More demand-side flexible resources (DFRs) are participating in the frequency regulation of renewable power systems, whose heterogeneous characteristics have a significant impact on the system frequency response. Consequently, selecting suitable DFRs poses a formidable challenge for independent system operators (ISO). In this paper, a reserve allocation methodology for heterogeneous DFRs is proposed to manage the risk of power system frequency. Firstly, a performance curve is developed to describe the cost, capacity, and response speed of DFRs. Moreover, a clustering method for multiple distributed DFRs is conducted to calculate the aggregated performance curves and uncertainty coefficients. Then, the frequency security criterion considering DFRs’ performance is constructed, whose linearity makes it can be easily coupled into the system scheduling model and solved. Furthermore, a risk management model for DFRs considering frequency-chance-constraint is proposed to make a trade-off between cost and frequency security. Finally, the model is transformed into mixed integer second-order cone programming (MISOCP) and solved by the commercial solver. The proposed model is validated by the IEEE 30 and IEEE 118 bus systems. |
Keyword | Aggregation Method Demand-side Heterogenous Flexible Resources Mixed Integer Second-order Cone Programming Performance Curve Risk Management Of Power System Frequency |
DOI | 10.1007/s11431-023-2548-3 |
URL | View the original |
Indexed By | SCIE |
Language | 英語English |
WOS Research Area | Engineering ; Materials Science |
WOS Subject | Engineering, Multidisciplinary ; Materials Science, Multidisciplinary |
WOS ID | WOS:001205180300001 |
Publisher | SCIENCE PRESS, 16 DONGHUANGCHENGGEN NORTH ST, BEIJING 100717, PEOPLES R CHINA |
Scopus ID | 2-s2.0-85190790683 |
Fulltext Access | |
Citation statistics | |
Document Type | Journal article |
Collection | THE STATE KEY LABORATORY OF INTERNET OF THINGS FOR SMART CITY (UNIVERSITY OF MACAU) Faculty of Science and Technology RECTOR'S OFFICE |
Corresponding Author | Ye, Cheng Jin |
Affiliation | 1.College of Electrical Engineering, Zhejiang University, Hangzhou, 310027, China 2.State Key Laboratory of Internet of Things for Smart City, University of Macau, 519000, Macao 3.Shenzhen Power Supply Bureau Co., Ltd., Shenzhen, 518051, China |
Recommended Citation GB/T 7714 | Yao, Yu,Song, Yong Hua,Ye, Cheng Jin,et al. Exploiting demand-side heterogeneous flexible resources in risk management of power system frequency[J]. SCIENCE CHINA-TECHNOLOGICAL SCIENCES, 2024, 67(5), 16120-1627. |
APA | Yao, Yu., Song, Yong Hua., Ye, Cheng Jin., Ding, Yi., & Zhao, Yu Ming (2024). Exploiting demand-side heterogeneous flexible resources in risk management of power system frequency. SCIENCE CHINA-TECHNOLOGICAL SCIENCES, 67(5), 16120-1627. |
MLA | Yao, Yu,et al."Exploiting demand-side heterogeneous flexible resources in risk management of power system frequency".SCIENCE CHINA-TECHNOLOGICAL SCIENCES 67.5(2024):16120-1627. |
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