An application of teaching–learning-based optimization for solving the optimal power flow problem with stochastic wind and solar power generators

• 主要な著者: Mohd Herwan, Sulaiman, Zuriani, Mustaffa, Muhammad Ikram, Mohd Rashid
• フォーマット: 論文
• 言語: English
• 出版事項: Elsevier B.V. 2023
• 主題: T Technology (General); TK Electrical engineering. Electronics Nuclear engineering
• オンライン･アクセス: http://umpir.ump.edu.my/id/eprint/37622/1/An%20application%20of%20teaching%E2%80%93learning-based%20optimization%20for%20solving%20the%20optimal%20power%20flow%20problem%20with%20stochastic.pdf; http://umpir.ump.edu.my/id/eprint/37622/; https://doi.org/10.1016/j.rico.2022.100187; https://doi.org/10.1016/j.rico.2022.100187

This paper proposes the implementation of metaheuristic algorithm namely, teaching–learning-based optimization (TLBO) algorithm to solve optimal power flow (OPF) problem. TLBO is inspired by philosophy of teaching and learning in the classroom. OPF on the other hand, is one of the most complex probl...