2009
DOI: 10.1016/j.ijepes.2008.10.004
|View full text |Cite
|
Sign up to set email alerts
|

Framework and implementation of secondary voltage regulation strategy based on multi-agent technology

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
8
0

Year Published

2010
2010
2023
2023

Publication Types

Select...
7
1
1

Relationship

0
9

Authors

Journals

citations
Cited by 22 publications
(8 citation statements)
references
References 17 publications
0
8
0
Order By: Relevance
“…With enhanced coordination, the advanced CVC achieves better performance in terms of the interactions between control zones. Consequently, the reactive power generation of the control generator can be minimized, and reactive power reserves can be conserved to cope with any disturbance in the control zone [11,12]. The basic structure of the multiple-point control algorithm with distributed hierarchical control systems is shown in Figure 2.…”
Section: Principle Of the Control Algorithmmentioning
confidence: 99%
“…With enhanced coordination, the advanced CVC achieves better performance in terms of the interactions between control zones. Consequently, the reactive power generation of the control generator can be minimized, and reactive power reserves can be conserved to cope with any disturbance in the control zone [11,12]. The basic structure of the multiple-point control algorithm with distributed hierarchical control systems is shown in Figure 2.…”
Section: Principle Of the Control Algorithmmentioning
confidence: 99%
“…However, a key disadvantage of these approaches is the centralized operation which handles a huge amount of data with high communication capability. Over the past few decades, MAFs have been widely used in power engineering research to solve several challenging issues and some examples are power system restoration and reconfiguration, fault analysis and diagnosis, secondary voltage control, wide area control, optimal reactive power dispatch, energy resource scheduling, and protection [10][11][12][13][14][15][16][17][18]. Though the transient stability assessment is an established research area in power systems, there exist a few applications of agent-based concepts to solve this problem.…”
Section: Introductionmentioning
confidence: 99%
“…The big advantages of MAS are better efficiency, higher robustness and less communication compared to centralized algorithms. There is a lot of application for MAS in engineering for example in formation control [1], flocking [2], rendezvous [3], and power system [4].…”
Section: Introductionmentioning
confidence: 99%