Abstract
To enhance power system stability, achieve voltage control, and mitigate failure propagation, the utilization of power system clustering has emerged as a potent approach. However, the majority of existing clustering methodologies are only viable within settings where the power generation and load parameters are explicitly known. Furthermore, effectively accommodating the impact of fluctuating power sources, such as renewable energy sources, within the clustering framework has posed consistent challenges. In response to these constraints, this investigation introduces a spectral clustering algorithm based on probability for electric power system, including a photovoltaic to represent variable sources. Moreover, by harnessing the optimal partitioning outcomes derived from the clustering technique with a voltage source converter (VSC), an asynchronous power system is generated. This study proves that the asynchronous power system shows enhanced stability in comparison to the synchronous system, under contingencies and frequency containment reserve (FCR) control method.
Original language | English |
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Title of host publication | 2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9781665471640 |
DOIs | |
Publication status | Published - 2023 |
Event | 2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023 - Wollongong, Australia Duration: 2023 Dec 3 → 2023 Dec 6 |
Publication series
Name | 2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023 |
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Conference
Conference | 2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023 |
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Country/Territory | Australia |
City | Wollongong |
Period | 23/12/3 → 23/12/6 |
Bibliographical note
Publisher Copyright:© 2023 IEEE.
Keywords
- frequency containment reserve (FCR)
- power system
- probabilistic spectral clustering
- voltage source converter (VSC)
ASJC Scopus subject areas
- Artificial Intelligence
- Energy Engineering and Power Technology
- Renewable Energy, Sustainability and the Environment
- Electrical and Electronic Engineering
- Control and Optimization
- Safety, Risk, Reliability and Quality