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Title

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

Pages

  93-110

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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    APA: Copy

    Pandya, Sundaram Bharatbhai, & Jariwala, Hitesh R.. (2020). Stochastic Wind-Thermal Power Plants Integrated Multi-Objective Optimal Power Flow. MAJLESI JOURNAL OF ELECTRICAL ENGINEERING, 14(2), 93-110. SID. https://sid.ir/paper/744227/en

    Vancouver: Copy

    Pandya Sundaram Bharatbhai, Jariwala Hitesh R.. Stochastic Wind-Thermal Power Plants Integrated Multi-Objective Optimal Power Flow. MAJLESI JOURNAL OF ELECTRICAL ENGINEERING[Internet]. 2020;14(2):93-110. Available from: https://sid.ir/paper/744227/en

    IEEE: Copy

    Sundaram Bharatbhai Pandya, and Hitesh R. Jariwala, “Stochastic Wind-Thermal Power Plants Integrated Multi-Objective Optimal Power Flow,” MAJLESI JOURNAL OF ELECTRICAL ENGINEERING, vol. 14, no. 2, pp. 93–110, 2020, [Online]. Available: https://sid.ir/paper/744227/en

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