Title | Line outage distribution factors of a linearized AC model with reactive power and voltage magnitude for resilience-constrained economic dispatch |
Author | |
Corresponding Author | Huang,Liping; Lai,Chun Sing |
Publication Years | 2022-12-01
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DOI | |
Source Title | |
ISSN | 2352-4677
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EISSN | 2352-4677
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Volume | 32 |
Abstract | Research on preventive generation dispatch schemes for resilient power system operation is often based on the DC power flow model, ignoring the influence of reactive power and voltage magnitude. This paper presents an in-depth study of a linearized AC power flow (LAC) model with reactive power and voltage magnitude to derive sensitivity factors, including shift factors and line outage distribution factors, for pre-contingency and post-contingency power flow calculations for N-k contingencies. Based on the derived sensitivity factors, a resilience-constrained economic dispatch (LAC-RCED) strategy is developed, which considers the security constraints of N-1 contingency for all lines and N-2 contingency for the affected lines, as well as optimization objectives to improve the power flow distribution in the transmission system. To deal with the computational difficulties associated with the N-k contingency constraints, an iterative contingency filtering algorithm based on the derived line outage distribution factor is proposed for contingency screening and creating security constraints for violated contingency scenarios. In the case study, the accuracy of the power flow solution obtained from the derived sensitivity factors is investigated by comparison with the AC model. The proposed LAC-RCED model and the iterative contingency filtering algorithm are tested on the IEEE 30-bus and 118-bus systems. (C) 2022 The Author(s). Published by Elsevier Ltd. |
Keywords | |
URL | [Source Record] |
Indexed By | |
Language | English
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SUSTech Authorship | Others
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Funding Project | Education Department of Guangdong Province, China: New and Integrated Energy System Theory and Technology Research Group[2016KCXTD022]
; National Natural Science Foundation of China[51907031]
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WOS Research Area | Energy & Fuels
; Engineering
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WOS Subject | Energy & Fuels
; Engineering, Electrical & Electronic
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WOS Accession No | WOS:000822693100003
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Publisher | |
EI Accession Number | 20222612287621
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EI Keywords | Constrained optimization
; Electric load dispatching
; Electric load flow
; Electric power transmission
; Iterative methods
; Linearization
; Outages
; Scheduling
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ESI Classification Code | Electric Power Systems:706.1
; Electric Power Transmission:706.1.1
; Management:912.2
; Numerical Methods:921.6
; Systems Science:961
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Scopus EID | 2-s2.0-85132801587
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Data Source | Web of Science
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Citation statistics |
Cited Times [WOS]:0
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Document Type | Journal Article |
Identifier | http://kc.sustech.edu.cn/handle/2SGJ60CL/352455 |
Department | Department of Electrical and Electronic Engineering |
Affiliation | 1.Department of Electrical Engineering,School of Automation,Guangdong University of Technology,Guangzhou,510006,China 2.Brunel Interdisciplinary Power Systems Research Centre,Department of Electronic and Electrical Engineering,Brunel University London,London,UB8 3PH,United Kingdom 3.Department of Electrical and Electronic Engineering,Southern University of Science and Technology,Shenzhen,518055,China |
Recommended Citation GB/T 7714 |
Huang,Zhaoxiong,Huang,Liping,Lai,Chun Sing,et al. Line outage distribution factors of a linearized AC model with reactive power and voltage magnitude for resilience-constrained economic dispatch[J]. Sustainable Energy Grids & Networks,2022,32.
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APA |
Huang,Zhaoxiong.,Huang,Liping.,Lai,Chun Sing.,Jia,Youwei.,Zhao,Zhuoli.,...&Lai,Loi Lei.(2022).Line outage distribution factors of a linearized AC model with reactive power and voltage magnitude for resilience-constrained economic dispatch.Sustainable Energy Grids & Networks,32.
|
MLA |
Huang,Zhaoxiong,et al."Line outage distribution factors of a linearized AC model with reactive power and voltage magnitude for resilience-constrained economic dispatch".Sustainable Energy Grids & Networks 32(2022).
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