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A Dispatchable Region-Guided Adaptive Mode-Switching Regulation for Renewable Power to Ammonia Virtual Power Plants
Wu, Sirui1; Li, Jiarong1; Lin, Jin1; Liu, Feng1; Qiu, Yiwei2; Song, Yonghua3; Cheng, Xiang1; Yu, Zhipeng1
2024
Source PublicationIEEE Transactions on Sustainable Energy
ISSN1949-3029
Pages1-13
Abstract

Renewable Power to Ammonia (RePtA) Virtual Power Plants (VPPs) are garnering global interest. However, the variability of renewable energy and the stochastic nature of forecast errors pose significant challenges in maintaining hydrogen and power balance. If we only consider the load range of 30%-100% for the Ammonia Synthesis Reactor (ASR) in normal mode, it will lead to excessive electricity trading with the power grid, thereby significantly reducing economic efficiency. Hence, we introduce two temporary operating modes for the ASR to improve the RePtA VPP's flexibility: standby and overloading. These modes are beneficial in addressing hydrogen and power imbalances, especially when hydrogen stocks are depleted or oversupplied. Furthermore, we analyze the multi-stage dispatchable regions (DRs) for the RePtA VPP and develop a DR-guided adaptive mode-switching regulation. This DR-guided strategy aids in reducing electricity costs and avoids overreaction in mode-switching. Our case studies based on an actual project in northeast China indicate that this strategy notably reduced electricity purchases and sales by 59.8% and 67.7% compared to scenarios without mode-switching. Moreover, it effectively decreased the frequency of ASR transitions to standby mode by 62.8% compared to the bang-bang control method.

KeywordAdaptive Mode-switching Regulation Ammonia Electricity Hydrogen Inductors Production Regulation Renewable Energy Sources Renewable Power To Ammonia Virtual Power Plant
DOI10.1109/TSTE.2024.3411046
URLView the original
Language英語English
PublisherInstitute of Electrical and Electronics Engineers Inc.
Scopus ID2-s2.0-85196761694
Fulltext Access
Citation statistics
Document TypeJournal article
CollectionDEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING
Affiliation1.State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment, Department of Electrical Engineering, Tsinghua University, Beijing, China
2.College of Electrical Engineering, Sichuan University, Chengdu, China
3.Department of Electrical and Computer Engineering, University of Macau, Macau, China
Recommended Citation
GB/T 7714
Wu, Sirui,Li, Jiarong,Lin, Jin,et al. A Dispatchable Region-Guided Adaptive Mode-Switching Regulation for Renewable Power to Ammonia Virtual Power Plants[J]. IEEE Transactions on Sustainable Energy, 2024, 1-13.
APA Wu, Sirui., Li, Jiarong., Lin, Jin., Liu, Feng., Qiu, Yiwei., Song, Yonghua., Cheng, Xiang., & Yu, Zhipeng (2024). A Dispatchable Region-Guided Adaptive Mode-Switching Regulation for Renewable Power to Ammonia Virtual Power Plants. IEEE Transactions on Sustainable Energy, 1-13.
MLA Wu, Sirui,et al."A Dispatchable Region-Guided Adaptive Mode-Switching Regulation for Renewable Power to Ammonia Virtual Power Plants".IEEE Transactions on Sustainable Energy (2024):1-13.
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