Droop control strategy for microgrid inverters: A deep reinforcement learning enhanced approach
To better tap into the potential of distributed renewable energy generation, microgrid system has become an emerging technology. As the bridge of microgrids, the inverters can flexibly convert distributed DC power input into AC power output. It is verified that the traditional droop control strategy...
| Main Authors: | Hongyang Lai, Kang Xiong, Zhenyuan Zhang, Zhe Chen |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-09-01
|
| Series: | Energy Reports |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484723006261 |
Similar Items
-
A review of recent control techniques of drooped inverter‐based AC microgrids
by: Walid Issa, et al.
Published: (2024-04-01) -
Hierarchical control of inverter-based microgrid with droop approach and proportional-integral controller
by: Mahmoud Hazhir
Published: (2025-01-01) -
An Accurate Power Flow Method for Microgrids with Conventional Droop Control
by: Fang Lu, et al.
Published: (2022-08-01) -
Reverse droop control strategy with virtual resistance for low-voltage microgrid with multiple distributed generation sources
by: Raj Devaraju Chethan, et al.
Published: (2023-04-01) -
Analysis, Design and Implementation of Droop-Controlled Parallel-Inverters Using Dynamic Phasor Model and SOGI-FLL in Microgrid Applications
by: Bum-Jun Kim, et al.
Published: (2018-06-01)