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International Journal of Nonlinear Analysis and Applications، جلد ۱۲، شماره Special Issue، صفحات ۱۰۱۱-۱۰۲۴
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عنوان انگلیسی Evolutionary programming and multi-verse optimization based Technique for risk-based voltage stability control
چکیده انگلیسی مقاله 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.
کلیدواژه‌های انگلیسی مقاله Voltage Stability, Fast voltage stability index, Multiverse optimization (MVO) and Evolutionary programming (EP), Risk assessment
نویسندگان مقاله Lutfiah Hanim Lut |
School of Electrical Engineering, College of Engineering, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia

Ismail Musirin |
School of Electrical Engineering, College of Engineering, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia

Muhammad Murtadha Othman |
School of Electrical Engineering, College of Engineering, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia

Nor Azwan Mohamed Kamari |
Department of Electrical, Electronic and Systems Engineering,Faculty of Engineering and Built Environment,,Universiti Kebangsaan Malaysia

Thuraiya Mohd |
Department of Built Environment and Technology, Faculty of Architecture, Planning and Surveying, Universiti Teknologi MARA Perak Branch, Seri Iskandar, 32610, Malaysia

Shazlyn Milleana Shaharudin |
Department of Mathematics, Faculty of Science and Mathematics, Universiti Pendidikan Sultan Idris, Perak, Malaysia

Suraya Masrom |
Department of Built Environment and Technology, Faculty of Architecture, Planning and Surveying, Universiti Teknologi MARA Perak Branch, Seri Iskandar, 32610, Malaysia

نشانی اینترنتی https://ijnaa.semnan.ac.ir/article_5547_a59b2baa923da3063fea5fbf930ae943.pdf
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