An advanced real-time dispatching strategy for a distributed energy system based on the reinforcement learning algorithm

被引：0
|
作者：
Meng, Fanyi [1 ]
Bai, Yang [2 ]
Jin, Jingliang [3 ]
机构：
[1] School of Economics and Management, Nanjing University of Science and Technology, Nanjing,210094, China
[2] School of Economics and Management, China University of Petroleum, Qingdao,266580, China
[3] College of Science, Nantong University, 9 Seyuan Road, Nantong,226019, China
来源：
Renewable Energy | 2021年 / 178卷
基金：
中国国家自然科学基金;
关键词：
Reinforcement learning - Real time control - Monte Carlo methods - Computational efficiency - Electric load dispatching - Learning algorithms - Wind power;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：13 / 24
相关论文
共 50 条
  • [1] An advanced real-time dispatching strategy for a distributed energy system based on the reinforcement learning algorithm
    Meng, Fanyi
    Bai, Yang
    Jin, Jingliang
    RENEWABLE ENERGY, 2021, 178 : 13 - 24
  • [2] Reinforcement learning based bilevel real-time pricing strategy for a smart grid with distributed energy resources
    Wang, Jingqi
    Gao, Yan
    Li, Renjie
    APPLIED SOFT COMPUTING, 2024, 155
  • [3] Real-time Energy Dispatching Strategy for Microgrid Based on Improved SD3 Algorithm
    Hang, Tian-Xiao
    He, Wen-Wu
    Pei, Bo-Yu
    Lin, Mei-Li
    Li, Pei-Qiang
    Journal of Network Intelligence, 2023, 8 (04): : 1338 - 1357
  • [4] A distributed real-time pricing strategy based on reinforcement learning approach for smart grid
    Zhang, Li
    Gao, Yan
    Zhu, Hongbo
    Tao, Li
    EXPERT SYSTEMS WITH APPLICATIONS, 2022, 191
  • [5] Deep Reinforcement Learning based real-time open-pit mining truck dispatching system
    Noriega, Roberto
    Pourrahimian, Yashar
    Askari-Nasab, Hooman
    COMPUTERS & OPERATIONS RESEARCH, 2025, 173
  • [6] Research on Real-Time Optimized Operation and Dispatching Strategy for Integrated Energy System Based on Error Correction
    Zeng, Aidong
    Hao, Sipeng
    Ning, Jia
    Xu, Qingshan
    Jiang, Ling
    ENERGIES, 2020, 13 (11)
  • [7] Real-time Autonomous Optimal Energy Management Strategy for Residents Based on Deep Reinforcement Learning
    Ye, Yujian
    Wang, Huiyu
    Tang, Yi
    Strbac, Goran
    Dianli Xitong Zidonghua/Automation of Electric Power Systems, 2022, 46 (01): : 110 - 119
  • [8] Adaptive time-based dispatching of distributed real-time tasks
    Elsharkawy, SM
    Agrawala, AK
    Nadeem, TM
    PARALLEL AND DISTRIBUTED COMPUTING SYSTEMS, PROCEEDINGS, 2003, : 355 - 360
  • [9] Reinforcement Learning for Online Dispatching Policy in Real-Time Train Timetable Rescheduling
    Yue P.
    Jin Y.
    Dai X.
    Feng Z.
    Cui D.
    IEEE Transactions on Intelligent Transportation Systems, 2024, 25 (01) : 478 - 490
  • [10] Real-Time HEV Energy Management Strategy Considering Road Congestion Based on Deep Reinforcement Learning
    Inuzuka, Shota
    Zhang, Bo
    Shen, Tielong
    ENERGIES, 2021, 14 (17)
12345