LAPSE:2023.22536
Published Article
LAPSE:2023.22536
Flow Shop Providing Frequency Regulation Service in Electricity Market
Yan Wang, Congxianzi Pei, Qiushuo Li, Jingbang Li, Deng Pan, Ciwei Gao
March 24, 2023
Abstract
Electricity cost is one of main production costs for flow shops. Providing frequency regulation services can help electric loads reduce their electricity costs. Previous studies mostly focus on automatic generation control (AGC) strategies for other types of electric loads, such as air conditioners, EVs or battery storage. In this paper, we find flow shops competent to follow regulation signals and avoid interrupts of processing with the help of scheduling optimization. This finding may be an aid for flow shops by availing regulation services to the market and making a profit. Hence, we propose an AGC strategy for optimizing flow shop scheduling, without affecting the operation. To formulate the bidding strategy for flow shops in regulation market, we considered as many relevant factors as possible, including the regulation performance and yield of flow shops, constraints on load power, regulation reserve capacity and machines operation, inventory of each semi-finished product, AGC strategy—as well as the coupling between the bids in both energy market and regulation market. Our case study shows the potential of the methodology proposed in this paper to cut down the electric cost of flow shops and supplies of performance-qualified frequency regulation service.
Keywords
automatic generation control (AGC) strategy, day-ahead energy market, flow shop scheduling, frequency regulation market, optimal bidding
Suggested Citation
Wang Y, Pei C, Li Q, Li J, Pan D, Gao C. Flow Shop Providing Frequency Regulation Service in Electricity Market. (2023). LAPSE:2023.22536
Author Affiliations
Wang Y: Electric Power Research Institute, China Southern Power Grid, Guangzhou 510080, China
Pei C: Electric Power Research Institute, China Southern Power Grid, Guangzhou 510080, China
Li Q: Electric Power Research Institute, China Southern Power Grid, Guangzhou 510080, China
Li J: School of Electrical Engineering, Southeast University, Nanjing 210096, China
Pan D: School of Electrical Engineering, Southeast University, Nanjing 210096, China
Gao C: School of Electrical Engineering, Southeast University, Nanjing 210096, China
Journal Name
Energies
Volume
13
Issue
7
Article Number
E1767
Year
2020
Publication Date
2020-04-07
ISSN
1996-1073
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PII: en13071767, Publication Type: Journal Article
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