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Multi-Period Transmission Switching Strategy Analysis Considering Thermal Unit CommitmentLAM, L. H. , NAM, L. K. , HIEU, N. H. |
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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
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. |
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
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