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

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

Published in Issue 2024-02-15

How to Cite

Pandya, S., & Jariwala, H. (2024). Stochastic Wind-Thermal Power Plants Integrated Multi-Objective Optimal Power Flow. Majlesi Journal of Electrical Engineering, 14(2). https://oiccpress.com/mjee/article/view/4872

HTML views: 17

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.

Keywords

  • Lyapunov Stability,
  • Metaheuristics,
  • Probability Density Function,
  • stochastic,
  • Wind Units