Abstract
This paper presents the impact of large penetration of wind power on the transient stability through a dynamic evaluation of the critical clearing times (CCTs) by using intelligent agent-based approach. A decentralised multi-agent-based framework is developed, where agents represent a number of physical device models to form a complex infrastructure for computation and communication. They enable the dynamic flow of information and energy for the interaction between the physical processes and their activities. These agents dynamically adapt online measurements and use the CCT information for relay coordination to improve the transient stability of power systems. Simulations are carried out on a smart microgrid system for faults at increasing wind power penetration levels and the improvement in transient stability using the proposed agent-based framework is demonstrated.
| Original language | English |
|---|---|
| Pages (from-to) | 429-442 |
| Number of pages | 14 |
| Journal | International Journal of Sustainable Energy |
| Volume | 35 |
| Issue number | 5 |
| Early online date | 29 Apr 2014 |
| DOIs | |
| Publication status | Published - 27 May 2016 |
| Externally published | Yes |
Keywords
- communication
- critical clearing time
- multi-agent system
- renewable energy
- smart microgrid
- transient stability
