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

سال انتشار: 1399
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 136

فایل این مقاله در 18 صفحه با فرمت PDF قابل دریافت می باشد

استخراج به نرم افزارهای پژوهشی:

لینک ثابت به این مقاله:

شناسه ملی سند علمی:

JR_MJEE-14-2_011

تاریخ نمایه سازی: 25 بهمن 1401

چکیده مقاله:

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-۳۰ bus test system, which is combined with wind and thermal generating plants.

نویسندگان

Sundaram Pandya

Department of Electrical Engineering, S.V. National Institute of Technology, Surat, Gujarat ۳۹۵۰۰۷, India.

Hitesh Jariwala

Department of Electrical Engineering, S.V. National Institute of Technology, Surat, Gujarat ۳۹۵۰۰۷, India.

مراجع و منابع این مقاله:

لیست زیر مراجع و منابع استفاده شده در این مقاله را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود مقاله لینک شده اند :
  • Carpentier, "Optimal Power Flows Uses, Methods, and Developments", Proceeding. IFAC ...
  • K. S. Pandya and S. K. Joshi, “A Survey of ...
  • D. H. Wolpert and W. G. Macready, “No Free Lunch ...
  • M. M. A. M. Abido, “Optimal Power Flow Using Particle ...
  • M. A. Abido, “Optimal Power Flow using Tabu Search Algorithm,” ...
  • G. B. Ghanizadeh, A. J. Mokhtari, G., Abedi, M., Gharehpetian, ...
  • H. R. E. H. Bouchekara, A. E. Chaib, M. A. ...
  • H. R. E. H. Bouchekara, “Optimal Power Flow using Black-Hole-Based ...
  • Roy Ranjit, Jadhav HT, “Optimal power flow Solution of Power ...
  • Panda Ambarish, Tripathy M. “Optimal Power Flow Solution of Wind ...
  • Panda Ambarish, Tripathy M. “Security Constrained Optimal Power Flow Solution ...
  • Shi L, Wang C, Yao L, Ni Y, Bazargan M. ...
  • Jabr RA, Pal BC. “Intermittent Wind Generation in Optimal Power ...
  • Mishra, S., Yateendra Mishra, and S. Vignesh. “Security Constrained Economic ...
  • Zhou Wei, Peng Yu, Sun Hui. “Optimal Wind–Thermal Coordination Dispatch ...
  • Dubey Hari Mohan, Pandit Manjaree, Panigrahi BK, “Hybrid Flower Pollination ...
  • Tazvinga Henerica, Zhu Bing, Xia Xiaohua. “Optimal Power Flow Management ...
  • Kusakana Kanzumba. “Optimal Scheduling for Distributed Hybrid System with Pumped ...
  • P. P. Biswas, P.N.Suganthan, G.A.J.Amartunga, "Optimal Power Flow Solutions Incorporating ...
  • S.Mirjalili, “Moth-flame Optimization Algorithm: A Novel Nature-Inspired Heuristic Paradigm,” Knowledge-Based ...
  • V.Savsani, M.A.Tawhid, "Non-Dominated Sorting Moth Flame Optimization (NS-MFO) for multi-objective ...
  • نمایش کامل مراجع