Real-time optimal power flow solution for wind farm integrated power system using evolutionary programming algorithm

• Published in: International journal of environmental science and technology (Tehran) Vol. 18; no. 7; pp. 1893 - 1910
• Main Authors: Ida Evangeline, S., Rathika, P.
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.07.2021
• Subjects: algorithms; Aquatic Pollution; coal; Earth and Environmental Science; Ecotoxicology; electricity; energy; Environment; Environmental Chemistry; environmental science; Environmental Science and Engineering; human health; Original Paper; power generation; Soil Science & Conservation; Waste Water Technology; Water Management; Water Pollution Control; wind farms; wind power; Power system; Optimal power flow; Forecasting; Evolutionary programming algorithm; Wind farm
• ISSN: 1735-1472; 1735-2630
• DOI: 10.1007/s13762-020-02926-3

In order to satisfy the increasing demand for electricity, a huge burden is levied on the conventional coal-fired thermal power generation units, which affects the environment and human health adversely. To tackle this problem, the clean renewable sources of energy have gained more attention. With time, wind power is expected to contribute more significantly and should be used as much as possible. This has provided much focus to the wind farm integrated power system. But, the unsteady behavior of wind energy has made the operation of wind farm integrated power system more complex. Scenario generation methods are used for tackling the unsteady behavior of wind energy. A persistence method of scenario generation is proposed for solving real-time optimal power flow problem in wind farm integrated power system. The proposed persistence method performs better compared to other recent methods in the literature.