Stochastic Wind-Thermal Power Plants Integrated Multi-Objective Optimal Power Flow

Majlesi Journal of Electrical Engineering

مقاله 14، دوره 14، شماره 2، شهریور 2020، صفحه 93-110   

نوع مقاله: Review Article

نویسندگان

Sundaram Pandya^* ؛ Hitesh Jariwala

Department of Electrical Engineering, S.V. National Institute of Technology, Surat, Gujarat 395007, India.

چکیده

The recent state of electrical system comprises the conventional generating units along with the sources of renewable energy. The suggested article recommends a method for the solution of single and multi-objective optimal power flow, incorporating wind energy with traditional coal-based generating stations. In this article, the two thermal power plants are replaced with the wind power plants. The techno-economic analysis are done with this state of electrical system. In proposed work, Weibull probability distribution functions is used for calculating wind power output. A non-dominated sorting based multi-objective moth flame optimization technique is used for the optimization issue. The fuzzy decision-making approach is applied for extracting the best compromise solution. The results are authenticated though modified IEEE-30 bus test system, which is combined with wind and thermal generating plants.

کلیدواژه‌ها

Wind Units؛ Metaheuristics؛ stochastic؛ Probability Density Function

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