0% Complete
صفحه اصلی
/
بیست و نهمین کنفرانس مهندسی برق ایران
The Use of NSGA-2 for Optimal Placement and Management of Renewable Energy Sources When Considering Network Uncertainty and Fault Current Limiters
نویسندگان :
Ali Akbar Farahani
1
Seyed Hossein Hesamedin Sadeghi
2
1- دانشگاه صنعتی امیرکبیر (پلی تکنیک تهران)
2- دانشگاه صنعتی امیرکبیر (پلی تکنیک تهران)
کلمات کلیدی :
.Renewable energy sources, network uncertainty, support vector regression, multi-objective optimization, fault current limiters
چکیده :
Due to abundant benefits of renewable energy sources (RESs), their participation in distribution networks is booming. However, they could have adverse effects on the protection coordination schemes. This paper proposes a non-dominated sorting genetic algorithm (NSGA-2) that is a multi-objective optimization procedure to obtain the best locations and sizes of renewable energy sources (RESs) with fault current limiters (FCLs), reducing the short-circuit level of buses. Also, the support vector regression, which is a supervised time series prediction approach in machine learning, is introduced to consider the uncertainty of load demands, network bid changes, and the generated powers of some RESs based on probabilistic states. The efficiency of the proposed procedure is established on the IEEE 33-bus test network.
لیست مقالات
لیست مقالات بایگانی شده
Simulation and Measurement of a Large Reverberation Chamber (LRC) Loaded by Metal Elements
Mojtaba Basravi - ZakerHossein Firouzeh - Hadi Aliakbarian
Investigation of Li3P as Electrolyte and Lithium-ion conductor: An Ab-Initio Study
Keyvan Khosh Abady - ََamin Niksirat - Negar Karpourazar - Mahdi Pourfath
Weighted Fuzzy-Based PSNR for Watermark Visual Quality Evaluation
Maedeh Jamali - Nader Karimi - Shadrokh Samavi
Diagnosis of Heart Diseases based on Processing Heart Sound using Machine Learning
Maryam Moulaverdi - Akbar Ranjbar
Deep Learning Meets Explainable AI: A Robust Framework for X-Ray Fracture Detection
Ali Tamizifar - Shakiba Berenjkoub - Mina Amiri
A New Unsupervised Feature Learning Method for Object Recognition using Prior-Knowledge Data
Ashkan Farrokhi - Hadi Seyedarabi
مدلسازی ابرشبکههای AlxGa1-xAs)m/(GaAs)n) با استفاده از روش Empirical Tight-Binding
متینه سادات حسینی قیداری - وحیدرضا یزدان پناه
Gray Box High-Frequency Modeling of Transformer using Particle Swarm Optimization
Mehdi Shamsodini Lori - Mohammad Hamed Samimi - Jawad Faiz
طراحی کنترلکننده استروباسکوپ زمان واقعی مبتنی بر هوش مصنوعی برای سیستم های دورانی
مهدی مظفری - سعید جعفری نسب - حامد پورکاوه - سعید شمقدری
User Identification Based on Hand Geometrical Biometrics Using Media-Pipe
Sara Ghanbari - Zahra Parvin Ashtyani - Mehdi Tale Masouleh
بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 42.8.0