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Adaptive Frequency Response From Electrified Railway
He, Zihan1; Wan, Can1; Song, Yonghua1,2
2022-06-01
Source PublicationIEEE Transactions on Power Systems
ISSN0885-8950
Volume38Issue:3Pages:2880-2894
Abstract

Frequency response from load side is urgently desired to hedge against power volatility of renewable energy in modern power system. Electrified railway has become an important load due to the traffic electrification over the past few decades. In this paper, a novel laxity based adaptive frequency control method is proposed to integrate frequency control in train operation, which enables the electric train to provide fast frequency response support to power system while abiding by the train timetable. An online trajectory optimization model considering realistic track gradient and speed limit conditions is developed to rectify the deviation in the guidance curve and to provide power reference for frequency response. The laxity of train operation is newly defined to measure the flexibility that the train can provide to frequency response. Then, an adaptive droop controller is devised based on the laxity of the train operation to provide appropriate frequency response according to current train state without violating the arrival time. Comprehensive numerical examples demonstrate the effectiveness of the proposed frequency response method, and also indicates the capability of electrified railway to support frequency control of modern power system with high penetration of renewable energy.

KeywordFrequency Control Adaptive Droop Control Electrified Railway Train Trajectory Optimization Renewable Energy
DOI10.1109/TPWRS.2022.3179369
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaEngineering
WOS SubjectEngineering, Electrical & Electronic
WOS IDWOS:000980444400069
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 445 HOES LANE, PISCATAWAY, NJ 08855-4141
Scopus ID2-s2.0-85131728492
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Citation statistics
Document TypeJournal article
CollectionTHE STATE KEY LABORATORY OF INTERNET OF THINGS FOR SMART CITY (UNIVERSITY OF MACAU)
Faculty of Science and Technology
Corresponding AuthorWan, Can
Affiliation1.College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China
2.State Key Laboratory of Internet of Things for Smart City, University of Macau, Taipa, Macau SAR, China, and also with the College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China
Recommended Citation
GB/T 7714
He, Zihan,Wan, Can,Song, Yonghua. Adaptive Frequency Response From Electrified Railway[J]. IEEE Transactions on Power Systems, 2022, 38(3), 2880-2894.
APA He, Zihan., Wan, Can., & Song, Yonghua (2022). Adaptive Frequency Response From Electrified Railway. IEEE Transactions on Power Systems, 38(3), 2880-2894.
MLA He, Zihan,et al."Adaptive Frequency Response From Electrified Railway".IEEE Transactions on Power Systems 38.3(2022):2880-2894.
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