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صفحه اصلی
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هشتمین کنفرانس بین المللی فناوری و مدیریت انرژی
A Probabilistic Approach for Scheduling of Wind-Energy-Integrated Power Systems Incorporating Dynamic Lines and Transformers Rating
نویسندگان :
Mohammad Akhlaghi
1
Zahra Moravej
2
Amir Bagheri
3
1- دانشگاه سمنان
2- دانشگاه سمنان
3- دانشگاه زنجان
کلمات کلیدی :
Wind energy،Power system smart operation،Optimal power flow،DLR،DTR،Uncertainty
چکیده :
In today’s electric power systems, transmission congestion and integration of renewable-based power generations are challenging issues. To tackle with these problems, power system operators can make use of smart-grid technologies. In this paper, dynamic line rating (DLR) and dynamic transformer rating (DTR) are employed as two smart-grid technologies for stochastic day-ahead optimal power flow (OPF) in the presence of uncertainty condition. The uncertainty scenarios are generated using Monte-Carlo simulation where the K-means clustering algorithm is employed for the scenario reduction purpose. A convexified form of AC power flow and dynamic rating relations have been utilized to formulate the optimization problem as a mixed-integer qudratically-constrained programming (MIQCP). The conducted approach is applied to the IEEE-24-bus system in the GAMS environment, and the simulation results are investigated to validate efficiency of the proposed method.
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بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 44.8.1
