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Resilient wide‐area multi‐mode controller design based on Bat algorithm for power systems with renewable power generation and battery energy storage systems
- Source :
- IET Generation, Transmission & Distribution. 13:1884-1894
- Publication Year :
- 2019
- Publisher :
- Institution of Engineering and Technology (IET), 2019.
-
Abstract
- Modern power systems consist of power electronics devices, which are used in renewable energy (RE) conversion. However, these devices, associated controllers, and uncertainty in RE output could bring new challenges to power system stability, especially oscillatory stability. Hence, the integration of battery energy storage systems (BESSs) is being developed to minimise the uncertainty and variability in renewables. Furthermore, to tackle the complex dynamics and inertia-less characteristics of wind and PV plants additional controllers such as power oscillation damping (POD) control and virtual inertia scheme are sought. However, the primary challenges associated with the wide-area oscillation damping controller are signal transmission delay, loss of communication signal, data drops, and others. This paper proposes a bat algorithm (BA) based resilient wide-area multi-mode controller (MMC) for enhancing oscillatory stability margin with high penetration of renewable power generations (RPGs) and BESSs. The Java 500 kV Indonesian grid is used to evaluate the performance of the resilient wide-area MMC. From the results, it is found that the proposed controller effectively damp the critical mode of oscillation in the system even under communication failure as well as certain damping controller failures.
- Subjects :
- business.industry
Computer science
020209 energy
020208 electrical & electronic engineering
Energy Engineering and Power Technology
02 engineering and technology
Grid
Signal
Renewable energy
Electric power system
Control and Systems Engineering
Control theory
Power electronics
0202 electrical engineering, electronic engineering, information engineering
Energy transformation
Electrical and Electronic Engineering
business
Bat algorithm
Subjects
Details
- ISSN :
- 17518695 and 17518687
- Volume :
- 13
- Database :
- OpenAIRE
- Journal :
- IET Generation, Transmission & Distribution
- Accession number :
- edsair.doi...........3306715c40939aef6379eb8315e08a15
- Full Text :
- https://doi.org/10.1049/iet-gtd.2018.6384