0% Complete
صفحه اصلی
/
سی و دومین کنفرانس بین المللی مهندسی برق
Community Energy Management Using MARL: Synergy of Price-Based and Incentive-Based Demand Response
نویسندگان :
Mohammad Hashemnezhad
1
Hamed Delkhosh
2
Ahmad Shahabi
3
Mohsen Parsa Moghaddam
4
1- دانشگاه تربیت مدرس
2- دانشگاه تربیت مدرس
3- دانشگاه تربیت مدرس
4- دانشگاه تربیت مدرس
کلمات کلیدی :
Multi-Agent Reinforcement Learning (MARL)،Demand Response (DR)،residential energy community،aggregator،Home Energy Management Systems (HMES)
چکیده :
The decentralization trend of the power system highlights the role of consumers in future plans. Mediatory infrastructures, such as the energy community, play a vital role in the realization of customer-centric behaviors like Demand Response (DR). This paper proposes a two-stage DR strategy within a residential energy community, integrating Price-Based DR (PBDR) and Incentive-Based DR (IBDR). Multi-agent reinforcement Learning (MARL) is utilized for optimal policy training of the community aggregator and Home Energy Management System (HMES) of the consumers. The PBDR, as the initial stage, involves dynamic pricing of the aggregator to influence consumers’ behavior. This leads to a significant reduction in peak load and smoothing of the load pattern by reducing/ shifting the consumption in/ from high-priced timeslots. The PBDR program alone may be insufficient for meeting consumption thresholds imposed by the upstream operator. Therefore, an IBDR program is introduced as the second stage, offering incentives to consumers to reduce their demands further. The synergy of these two programs can successfully modify the community demand. Simulation studies show the improvements in load characteristics of the community and a positive overall reward for both aggregator and consumers, suggesting a proper balance of objectives and efficient energy management in the energy community.
لیست مقالات
لیست مقالات بایگانی شده
Classification of Schizophrenia Patients by Nonlinear Analysis of EEG
Amirhossein Tajik - Hoda Jalalkamali - Hossein Nezamabadipour
Design of a High-Efficiency Balanced Power Amplifier with 68% Fractional Bandwidth
Fatemeh Mohabati - Marzieh Chegini - Mahmoud Kamarei
Design and Application of a Five-Level Cross-Switched Inverter in Low-Voltage Distribution System Voltage Compensation
Mohammad Farhadi-kangarlu - Yousef Neyshabouri - Asra Sotudeh
A new approach to design fuzzy interval observer for parameter-varying systems
Mostafa Faramin - Behrooz Rezaie - Zahra Rahmani
A Compact Microstrip Combline Filter for Microwave S-band
Sina Rezaee - Mohammad Memarian
Fast and Low Power Modified Carry Look-Ahead Adder
Sanaz Salem - Amir hossein Owji
Robust Object Detection Against Adversarial Perturbations with Gabor Filter
Mohammad Parsa Karimi - Abdollah Amirkhani - Shahriar B. Shokouhi
Design and Implementation of a Modular ROS-based Mobile Robot With Hierarchical Control
Erfan Riazati - Arian Hajizadeh - Seyed Majid Esmailzadeh
Atrial Fibrillation (AF) Detection Using Deep Learning with GAN-based Data Augmentation
Amirhossein Akhoondkazemi - Arash Vashagh - Sayed Jalal Zahabi - Davood Shafie
طراحی سیستم هوشمند تشخیص سطح مذاب قالب در ماشین ریختهگری مداوم
محمد رضا رشیدی - سید محمد تقی المدرسی - سعیده ذبحی
بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 42.0.4