A Multiagent-Based Consensus Algorithm for Distributed Coordinated Control of Distributed Generators in the Energy Internet

By Qiuye Sun, Renke Han, Huaguang Zhang, Jianguo Zhou, Josep M. Guerrero. IEEE Transactions on Smart Grid, 2015

376 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/5143d734773aa503d8aef67680933abc717faa0f

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Control and Systems Engineering

1. Yong Xiang
2. H. Jia
3. Song Guo
4. Jinsong Wu
5. Qiuwei Wu
6. Xiaolong Jin
7. Yan Yu
8. Y. Qian

In Electrical and Electronic Engineering

1. H. Jia
2. Xiaolong Jin
3. H. Hua
4. Qiuwei Wu
5. Parameswaran Kamalaruban
6. A. Perera

Citations in the corpus

• Local flexibility markets: Literature review on concepts, models and clearing methods (2020, background): “The literature has demonstrated that optimized operation of DGs and storages can generate enormous supply-side flexibility [11], [13], [16], [27], [47][51], which benefits the operation of the distribution system and even the transmission system through the TSO–DSO coordination [37], [52]-[54].”
• A Survey on Energy Internet: Architecture, Approach, and Emerging Technologies (2018, background): “Finally, PDGAs only need local information to establish the nonlinear model of each DG [82].”
• Optimal energy management strategies for energy Internet via deep reinforcement learning approach (2019, background): “A class of distributed coordinated control algorithm for EI has been proposed in [22].”