Lut, Lutfiah, Musirin, Ismail, Othman, Muhammad, Kamari, Nor Azwan Mohamed, Mohd, Thuraiya, Shaharudin, Shazlyn, Masrom, Suraya. (1400). Evolutionary programming and multi-verse optimization based Technique for risk-based voltage stability control. هنرهای کاربردی, 12(Special Issue), 1011-1024. doi: 10.22075/ijnaa.2021.5547
Lutfiah Hanim Lut; Ismail Musirin; Muhammad Murtadha Othman; Nor Azwan Mohamed Kamari; Thuraiya Mohd; Shazlyn Milleana Shaharudin; Suraya Masrom. "Evolutionary programming and multi-verse optimization based Technique for risk-based voltage stability control". هنرهای کاربردی, 12, Special Issue, 1400, 1011-1024. doi: 10.22075/ijnaa.2021.5547
Lut, Lutfiah, Musirin, Ismail, Othman, Muhammad, Kamari, Nor Azwan Mohamed, Mohd, Thuraiya, Shaharudin, Shazlyn, Masrom, Suraya. (1400). 'Evolutionary programming and multi-verse optimization based Technique for risk-based voltage stability control', هنرهای کاربردی, 12(Special Issue), pp. 1011-1024. doi: 10.22075/ijnaa.2021.5547
Lut, Lutfiah, Musirin, Ismail, Othman, Muhammad, Kamari, Nor Azwan Mohamed, Mohd, Thuraiya, Shaharudin, Shazlyn, Masrom, Suraya. Evolutionary programming and multi-verse optimization based Technique for risk-based voltage stability control. هنرهای کاربردی, 1400; 12(Special Issue): 1011-1024. doi: 10.22075/ijnaa.2021.5547

Evolutionary programming and multi-verse optimization based Technique for risk-based voltage stability control

International Journal of Nonlinear Analysis and Applications
دوره 12، Special Issue، اسفند 2021، صفحه 1011-1024    اصل مقاله (479.26 K)
نوع مقاله: Research Paper
شناسه دیجیتال (DOI): 10.22075/ijnaa.2021.5547
نویسندگان
Lutfiah Hanim Lut1؛ Ismail Musirin* 1؛ Muhammad Murtadha Othman1؛ Nor Azwan Mohamed Kamari2؛ Thuraiya Mohd3؛ Shazlyn Milleana Shaharudin4؛ Suraya Masrom3
1School of Electrical Engineering, College of Engineering, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia
2Department of Electrical, Electronic and Systems Engineering,Faculty of Engineering and Built Environment,,Universiti Kebangsaan Malaysia
3Department of Built Environment and Technology, Faculty of Architecture, Planning and Surveying, Universiti Teknologi MARA Perak Branch, Seri Iskandar, 32610, Malaysia
4Department of Mathematics, Faculty of Science and Mathematics, Universiti Pendidikan Sultan Idris, Perak, Malaysia
چکیده
Power system these days appears to work at high-stress load, which could trigger voltage security problems. This is due to the fact that the system will operate under low voltage conditions, which could be possibly below the allowable voltage limit. The voltage collapse phenomenon can become one of the remarkable issues in the power systems which can lead to severe consequences of voltage instability. This paper proposes a method for managing the voltage stability risk using two methods which are evolutionary programming (EP) and multiverse optimization (MVO). Consequently, EP and MVO were used to manage the risk in the power system due to load variations. The risk assessment is made in order to determine the risk of collapse for the system utilizing a pre-developed voltage stability index termed as Fast Voltage Stability Index (FVSI). It is used as the indicator of voltage stability conditions. Results obtained from the study revealed that the MVO technique is much more effective compared to EP.
کلیدواژه‌ها
Voltage stability؛ Fast voltage stability index؛ Multiverse optimization (MVO) and Evolutionary programming (EP)؛ Risk assessment
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