Efficient and Stable Learning for Distribution Network Operation: A Model-Based Reinforcement Learning Approach

Efficient and Stable Learning for Distribution Network Operation: A Model-Based Reinforcement Learning Approach

This paper discusses the application of deep reinforcement learning (DRL) to the economic operation of power distribution networks, a complex system involving numerous flexible resources. Despite the improved control flexibility, traditional prediction-plus-optimization models struggle to adapt to r...

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Bibliographic Details
Main Authors: Dong Yan, Zhan Shi, Xinying Wang, Yiying Gao, Tianjiao Pu, Jiye Wang
Format: Article
Language:English
Published: China electric power research institute 2025-01-01
Series:CSEE Journal of Power and Energy Systems
Subjects:
Distribution networks
economic operation
reinforcement learning
reward shaping
transition model
Online Access:https://ieeexplore.ieee.org/document/10838271/
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