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

  • Sundaram Bharatbhai Pandya Department of Electrical Engineering, S.V. National Institute of Technology, Surat, Gujarat 395007, India.
  • Hitesh R. Jariwala Department of Electrical Engineering, S.V. National Institute of Technology, Surat, Gujarat 395007, India.
Keywords: Wind Units, Metaheuristics, Stochastic, Probability Density Function

Abstract

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.

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Published
2020-06-01
How to Cite
Pandya, S., & Jariwala, H. (2020). Stochastic Wind-Thermal Power Plants Integrated Multi-Objective Optimal Power Flow. Majlesi Journal of Electrical Engineering, 14(2), 93-110. Retrieved from http://mjee.iaumajlesi.ac.ir/index/index.php/ee/article/view/3514
Section
Articles