0% Complete
صفحه اصلی
/
بیست و نهمین کنفرانس مهندسی برق ایران
Q-Learning-Oriented Distributed Energy Management of Grid-Connected Microgrid
نویسندگان :
Esmat Samadi
1
Ali Badri
2
Reza Ebrahimpour
3
1- دانشگاه تربیت دبیر شهید رجایی
2- دانشگاه تربیت دبیر شهید رجایی
3- دانشگاه تربیت دبیر شهید رجایی
کلمات کلیدی :
Microgrid, energy management, distributed energy resources, Q-learning, multi-agent systems, electric vehicle
چکیده :
In this paper, reinforcement learning (RL) is used for energy management of agent based microgrid (MG). The Grid connected MG that contains wind turbine, fuel cell (FC), diesel generator and electric vehicle (EV) to supply its demands, is modeled as a multi-agent system (MAS). The DER and customer are considered as self-interested agents that try to maximize their profits and optimize their behavior. These agents use RL to interact with each other in distributed manner without any direct communication. The market operator of MG is responsible to gather agents’ data that have been sub-mitted and clears the market to meet the desired goals. Modeling the stochastic nature of wind power generation and demand fluctuation of customer agents, implementing demand side management program for customer agents, besides taking into account the technical constraint of diesel generator, FC and EV agent are the main strengths of this paper. The simulation results confirm the efficiency of the proposed approach.
لیست مقالات
لیست مقالات بایگانی شده
A Technical-Managerial Framework for Determining Periodic Performance Indices and Operating Ranges of Power Grid Frequency
Hamed Delkhosh - Hossein Seifi - Sajjad Gholamnejad - Morteza Yousefian
حل مسئله مجموعه مستقل d-فاصله با رویکرد CombOpt Zero
فاطمه نیکبخت نصرآبادی - حسین فلسفین - مهران صفایانی
Sampled-data-based Descriptor Observer Design with Aperiodic Measurements for Lithium-ion Batteries in Hybrid Electric Vehicles
Hamid Reza Ahmadzadeh - Masoud Shafiee
Sensor Faults Diagnosis in T-S Fuzzy Discrete Descriptor Systems Using Design a New Unknown Input Observer
Masoud Shafiee - Amir Abolfazl Suratgar - Mehdi Mirshahi
T-type L-2L De-Embedding Method for On-Wafer T-model Transmission Line Network
Milad Seyedi - Nasser Masoumi - Samad Sheikhaei
پیشبینی بلندمدت بار فصلی شبکه برق با استفاده از روش سری زمانی ETS
میلاد حاجی ابوالحسنی - محسن صفرزاده - زهرا عظیمی - سیدمرتضی میرباقری
High-Efficiency Soft-Switched Quadratic Ultra-High Step-Up DC-DC Converter with Low Voltage Stress on Semiconductors
Ali Nadermohammadi - Ali Seifi - Hamed Abdi - Pouya Abolhassani - Seyed Hossein Hosseini - Ebrahim Babaei
A Hybrid Approach for Multimodal Biometric Recognition based on Feature Level Fusion in Reproducing Kernel Hilbert Space
Mohammad Hassan Safavipour - Mohammad Ali Doostari - Hamed Sadjedi
Φ-OTDR Event Classification Using Machine Learning and Optical Signal Processing
Amir Babaoughli - Tohid Alizadeh - Seyed Sadra Kashef
پیشنهاد یک ساختار جدید AC/DC مبتنی بر مبدلهای SEPIC و CUK بهبودیافته برای کاربرد شارژر موتورسیکلتهای الکتریکی
سجاد قابلی ثانی - رحیم عجبی فرشباف - میثم صادقی - محمد خدایاری
بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 43.6.0
