Q-Learning-Based Method for Distribution Layer Partitioning and Grid Planning in Hybrid Centralized-Distributed Networks
New Power System|更新时间:2025-11-12
|
Q-Learning-Based Method for Distribution Layer Partitioning and Grid Planning in Hybrid Centralized-Distributed Networks
“In the field of distribution network planning, experts have proposed a centralized distributed distribution network planning method based on Q-learning, providing new ideas for the planning and design of high renewable energy penetration distribution networks.”
Power Generation TechnologyVol. 46, Issue 5, Pages: 977-985(2025)
作者机构:
1.国网江苏省电力有限公司连云港供电分公司,江苏省 连云港市 222000
2.上海交通大学电子信息与电气工程学院,上海市 闵行区 200241
作者简介:
基金信息:
National Key Research and Development Program of China(2020YFB2104500)
WANG Wei,XIONG Yun,ZHAO Pengzhen,et al.Q-Learning-Based Method for Distribution Layer Partitioning and Grid Planning in Hybrid Centralized-Distributed Networks[J].Power Generation Technology,2025,46(05):977-985.
WANG Wei,XIONG Yun,ZHAO Pengzhen,et al.Q-Learning-Based Method for Distribution Layer Partitioning and Grid Planning in Hybrid Centralized-Distributed Networks[J].Power Generation Technology,2025,46(05):977-985. DOI: 10.12096/j.2096-4528.pgt.24005.
Q-Learning-Based Method for Distribution Layer Partitioning and Grid Planning in Hybrid Centralized-Distributed Networks
Research on Economic Scheduling of Active Distribution Networks With Inclusion of Data Center and Energy Storage
Review of Artificial Intelligence Applications in Accelerating Operational Simulation of Power Systems
Research on Large-Signal Stability Assessment Methods of DC Microgrids Based on Artificial Intelligence
Research on Fault Location in Integrated Energy Systems Based on Improved Binary Particle Swarm Optimization Algorithm
Multi-Time Scale Optimization Strategy for New Distribution System Oriented to Photovoltaic Consumption and Low Carbon Demand Response of Ice Storage Air Conditioning Groups
Related Author
LI Ji
WANG Weiqing
YUAN Zhi
MA Haoran
CHEN Yixuan
WANG Jiayang
ZHUO Yingjun
LU Siyu
Related Institution
Electric Power Research Institute of State Grid Xinjiang Electric Power Co., Ltd., Urumqi 830011, Xinjiang Uygur Autonomous Region
Engineering Research Center of Ministry of Education for Renewable Energy Power Generation and Grid Connection Control (Xinjiang University), Urumqi 830017, Xinjiang Uygur Autonomous Region
National Key Laboratory of DC Transmission Technology
Southern Power Grid Electric Power Research Institute Co., Ltd.
Key Lab of Power Electronics and Motion Control (Anhui University of Technology), Maanshan