Real-Time Distribution Network Opeartion Optimization Using Mixed Safe Multi-Agent Deep Reinforcement Learning Method
Author:
Affiliation:
1. Chengdu Power Electric Bureau,Longquanyi Power Supply Bureau,Chengdu,China
2. State Grid Tianfu Power Supply Company,Customer Service Center,Chengdu,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10625771/10625773/10627563.pdf?arnumber=10627563
Reference9 articles.
1. Crediting Variable Renewable Energy and Energy Storage in Capacity Markets: Effects of Unit Commitment and Storage Operation
2. Time-Segmented Multi-Level Reconfiguration in Distribution Network: A Novel Cloud-Edge Collaboration Framework
3. Two Circular-Updating Hybrid Heuristic Methods for Minimum-Loss Reconfiguration of Electrical Distribution Network
4. Integrated Optimization of Network Topology and DG Outputs for MVDC Distribution Systems
5. Power Loss Minimization in Distribution System Using Network Reconfiguration in the Presence of Distributed Generation
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