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Expanding Generator Flexibility Regions in Renewable-Rich Grid via Optimal Transmission Switching and Dynamic Line Rating | ||
| International Journal of Industrial Electronics Control and Optimization | ||
| مقالات آماده انتشار، پذیرفته شده، انتشار آنلاین از تاریخ 02 اسفند 1404 اصل مقاله (952.87 K) | ||
| نوع مقاله: Original Article | ||
| شناسه دیجیتال (DOI): 10.22111/ieco.2026.53986.1731 | ||
| نویسندگان | ||
| Ali Beiranvand؛ MahmoudReza Shakarami؛ Meysam Doostizadeh* | ||
| Department of Electrical Engineering, Lorestan University, KhorramAbad, Iran | ||
| چکیده | ||
| Today, power system operators face two major challenges: (1) determining the flexibility region for generators due to the increasing penetration of renewable generation in power systems, and (2) the rise in ambient temperature. Structural limitations in a power network and changes in its topology significantly affect the generator's flexibility region. In this paper, in addition to describing the structure of the flexibility region, the variability of these regions due to changes in the network topology is thoroughly demonstrated. For this purpose, the problem of determining the flexibility region of the generators (GFR) is integrated with the Optimal Transmission Switching (OTS) and Dynamic Line Rating (DLR) problems to develop the flexibility region and maximize the use of renewable power generation. To reduce the computational time and increase the effectiveness of the proposed method, an innovative method (referred to as Radar Scanning) is used to categorize the data related to the changes in the output power of renewable generation units. To evaluate the proposed method, the IEEE 30-bus and 118-bus power systems are employed, and the numerical results obtained from the simulation show that: first, OTS and DLR can enhance and improve the flexibility region of the generators in a power system; and second, by employing the proposed algorithm, the flexibility region of 30- and 118-bus power systems are determined by examining only a limited number of data (less than 30%), resulting in a 92% and 89% reduction in computational time, respectively. | ||
| کلیدواژهها | ||
| Dynamic line rating؛ Flexibility region؛ Optimal transmission switching؛ Renewable power generation؛ Radar Scanning algorithm | ||
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آمار تعداد مشاهده مقاله: 39 تعداد دریافت فایل اصل مقاله: 40 |
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