期刊
ELECTRIC POWER SYSTEMS RESEARCH
卷 114, 期 -, 页码 49-59出版社
ELSEVIER SCIENCE SA
DOI: 10.1016/j.epsr.2014.03.032
关键词
Teaching-Learning-Based Optimization; Metaheuristic; Optimal power flow; Power system optimization; Voltage profile; Voltage stability
资金
- Deanship of Scientific Research
- King Fand University of Petroleum and Minerals, through the Electrical Power and Energy Systems Research Group
Teaching-Learning-Based Optimization is a rising star among metaheuristic techniques with highly competitive performances. This technique is based on the influence of a teacher on learners. In this paper, the Teaching-Learning-Based Optimization technique is used to solve the optimal power flow problem. In order to show the effectiveness of the proposed method, it has been applied to the standard IEEE 30-bus and IEEE 118-bus test systems for different objectives that reflect the performances of the power system. Furthermore, the obtained results using the proposed technique have been compared to those obtained using other techniques reported in the literature. The obtained results and the comparison with other techniques indicate that the Teaching-Learning-Based Optimization technique provides effective and robust high-quality solution when solving the optimal power flow problem with different complexities. (C) 2014 Elsevier B.V. All rights reserved.
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