Security Constrained Dispatch for Renewable Proliferated Distribution Network Based on Safe Reinforcement Learning
As the terminal of electricity consumption, the distribution network is a vital field to lower the carbon emission of the power system. With the integration of distributed energy resources, the flexibility of the distribution network has been promoted significantly where dispatch actions can be empl...
Main Authors: | Han Cui, Yujian Ye, Qidong Tian, Yi Tang |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2022-07-01
|
Series: | Frontiers in Energy Research |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fenrg.2022.933011/full |
Similar Items
-
A Review on Security Constrained Economic Dispatch of Integrated Renewable Energy Systems
by: Shewit Tsegaye, et al.
Published: (2021-03-01) -
Optimal Decomposition of Stochastic Dispatch Schedule for Renewable Energy Cluster
by: Yue Yang, et al.
Published: (2021-01-01) -
Hopfield Neural Network-based Security Constrained Economic Dispatch of Renewable Energy Systems
by: Shewit Tsegaye, et al.
Published: (2021-09-01) -
Assessment of Electricity Decarbonization Scenarios for New Zealand and Great Britain using a Plant Dispatch and Electrical Energy Storage Modelling Framework
by: Andrew Crossland, et al.
Published: (2020-06-01) -
Safe system for sustainable development
by: Oliver Lah
Published: (2024-03-01)