0% Complete
صفحه اصلی
/
سی امین کنفرانس بین المللی مهندسی برق
Virtual power plant participation in day-ahead and futures markets with a deep learning approach
نویسندگان :
Farzin Ghasemi Olanlari
1
Mohammad Fazel Dehghanniri
2
Turaj Amraee
3
1- دانشگاه صنعتی خواجه نصیرالدین طوسی
2- دانشگاه صنعتی خواجه نصیرالدین طوسی
3- دانشگاه صنعتی خواجه نصیرالدین طوسی
کلمات کلیدی :
Virtual power plant,futures market,bilateral contracts,LSTM neural network
چکیده :
Abstract— This paper models a virtual power plant (VPP) with high-penetration of distributed energy resources (DERs) to participate in the day ahead (DA) and future markets and bilateral contracts with the aim of maximizing its profit. A two-stage stochastic optimization problem is developed that in the first stage, the VPP operator participates in the futures market and signs bilateral contracts. The VPP will participate in the DA market and supply its electrical loads in the second stage. The uncertainty parameters of the problem, including the DA market price, wind speed, and solar radiation, are first forecasted using the Long Short Term Memory (LSTM) neural network. Then the scenario generation and reduction method is used to cover the uncertainties in the predicted data. The problem has been simulated in three different cases, which indicate a significant increase in the profit of the VPP.
لیست مقالات
لیست مقالات بایگانی شده
Design of a plasmonic MIM filter based on ring resonator incorporating circular air holes
Sara Gholinezhad Shafagh - Hassan Kaatuzian - Mohammad Danaie
The Use of NSGA-2 for Optimal Placement and Management of Renewable Energy Sources When Considering Network Uncertainty and Fault Current Limiters
Ali Akbar Farahani - Seyed Hossein Hesamedin Sadeghi
Bidirectional DISO DC-DC Converter Based on Fixed-Frequency Sliding Mode Control Strategy
Amirhosein Hoseini - Saeed Hosseinnattaj - Jafar Adabi
A New Coupled Inductor based Non-Isolated Dual Input Soft-Switching High Step-up DC-DC Converter
Amirreza Razavi Majarshin - Ebrahim Babaei - Mehran Sabahi
A Deep Learning-Based Model for House Number Detection And Recognition
Roghaiyeh Tayefeh Younesi - Jafar Tanha - Samaneh Namvar - Sahar Hassanzadeh Mostafaei
Design and Determing Two Separate Rotor Axial Flux Permanent Magnet Motor Load and Efficinecy
Siamak Omrani - Ahmad Darabi
Artificial Intelligence-Based Prediction of Flexibility Requirements in Power Systems
MohammadReza Zarei-Jeliani - Mahmud Fotuhi-Firuzabad - Niloofar Pourghaderi
Chaos-Based Physical Layer Security in NOMA Systems
Alireza Mard shoorijeh - Mahmoud Ahmadian Attari
Numerical and Computational Study on Compressive Strain Effect in Perovskite Solar Cell
Daniyal Khosh Maram - Hamed Abnavi - Hanieh Talati Aghdam
Designing Of Type-2 Fuzzy Formation Controller For A Class Of Nonlinear Multiagent System Using JAYA Algorithm
Arvin Attar - Mohammad Ali Badamchizadeh - Sehraneh Ghaemi
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 40.4.2