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Stefan cel Mare
University of Suceava
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Print ISSN: 1582-7445
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WorldCat: 643243560
doi: 10.4316/AECE


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  1/2023 - 6

Multi-Period Transmission Switching Strategy Analysis Considering Thermal Unit Commitment

LAM, L. H. See more information about LAM, L. H. on SCOPUS See more information about LAM, L. H. on IEEExplore See more information about LAM, L. H. on Web of Science, NAM, L. K. See more information about  NAM, L. K. on SCOPUS See more information about  NAM, L. K. on SCOPUS See more information about NAM, L. K. on Web of Science, HIEU, N. H. See more information about HIEU, N. H. on SCOPUS See more information about HIEU, N. H. on SCOPUS See more information about HIEU, N. H. on Web of Science
 
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Download PDF pdficon (1,366 KB) | Citation | Downloads: 543 | Views: 809

Author keywords
power system analysis computing, mathematical programming, electrical engineering, power generation economics, mathematical model

References keywords
power(28), switching(20), transmission(16), tpwrs(15), optimal(11), neill(7), oren(6), hedman(6), fisher(6), systems(5)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2023-02-28
Volume 23, Issue 1, Year 2023, On page(s): 51 - 60
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2023.01006
Web of Science Accession Number: 000937345700006
SCOPUS ID: 85150204229

Abstract
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The transmission network can enhance its economic advantages by adjusting the topology of the power system during operation. However, the constant change in demand requires the switching process to take place continuously during the day. Therefore, this requires the line switching must follow a certain strategy to ensure the stability of the system, such as how often and how long a line can be online/offline. Furthermore, it must refer to thermal power units, which require strict compliance with the start-up and shut-down stages. As a result, this research proposes a model for Multi-period optimal transmission switching in conjunction with the trajectory operation of thermal units to minimize total operating costs in one day. The model is implemented by Mixed Integer Linear Programming (MIP) with binary variables representing the state of the transmission line and thermal unit aiming to sets the switching strategy of the line and configure the trajectory of the thermal unit commitment. The IEEE 118-bus test case is analyzed for 24-hours simulation. The optimal transmission switching results in reduced total operation cost, but the thermal unit's impact must be considered. Eventually, the limitations of the paper are presented for further research.


References | Cited By  «-- Click to see who has cited this paper

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[CrossRef] [Web of Science Times Cited 81] [SCOPUS Times Cited 96]


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[CrossRef] [SCOPUS Times Cited 166]


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References Weight

Web of Science® Citations for all references: 3,087 TCR
SCOPUS® Citations for all references: 4,333 TCR

Web of Science® Average Citations per reference: 119 ACR
SCOPUS® Average Citations per reference: 167 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2024-05-25 22:50 in 168 seconds.




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