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۱Short Term Load Forecasting Using of Adaptive Neuro–Fuzzy Inference System
نویسنده(ها): ، ،
اطلاعات انتشار: چهاردهمین کنفرانس دانشجویی مهندسی برق ایران، سال
تعداد صفحات: ۶
the huge consumption of electric energy in these days has given the load forecasting a big attention from researchers and utility operators. Forecasting electric load will aid the electric company in optimal energy generation , dispatching and unit commitment.This paper introduce the results of applying Adaptive Neuro–Fuzzy inference system to short term load forecasting. The theoretical foundation are introduced and details of the adaptive fuzzy system are presented.The results of its application on Saveh for one week load demand are included.<\div>

۲Analysis on Reserve Effects on Congestion Management Results in an Integrated Energy and Reserve Power Market
نویسنده(ها): ، ،
اطلاعات انتشار: نوزدهمین کنفرانس مهندسی برق ایران، سال
تعداد صفحات: ۶
The unstoppable increase in the capacity of power generation and also the stability problems due to the capacity of transmission lines cause new and different congestion management methods to be appeared in power systems. This paper proposes a congestion management method based onOptimal Power Flow (OPF) in order to analyze the effect of reserve generation in total generation and total cost of a power system. The optimization method which is used in OPF is Differential Evolution algorithm. The proposed method is applied on IEEE 24–bus RTS system and the result including power generation and the cost of the energy and reserve powerproduction are presented and compared before and after congestion management and also with and without the existenceof reserve generation.<\div>
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