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Optimizing wind turbine integration in microgrids through enhanced multi-control of energy storage and micro-resources for enhanced stability.
- Source :
-
Journal of Cleaner Production . Mar2024, Vol. 444, pN.PAG-N.PAG. 1p. - Publication Year :
- 2024
-
Abstract
- This paper explores the integration of microgrids with wind turbines to optimize electricity generation and enhance dispatch to distribution networks. The focus lies on a comprehensive examination of the microgrid configuration linked to a wind turbine, encompassing aspects such as the wind power generation system, variable-speed wind energy determination, fault estimation for stability analysis, and control through fault detection. Microgrid instability during network faults, attributed to limited capacity, is a primary challenge addressed in this study. The use of electronic interface power in islanded mode encounters hurdles due to the insufficient capacity of dispersed generation sources, leading to a slow response to load changes and difficulty in maintaining stability. To address these challenges, a novel microgrid topology and control method are introduced, featuring the integration of a battery to mitigate the slow response of micro-sources to load changes. Additionally, the concept of droop control is elucidated to effectively balance generation and consumption in islanded mode. The proposed approach employs fuzzy logic control systems along with a developed Kalman filter to precisely identify fault areas for stability analysis. Simulation results presented in this paper showcase substantial improvements in fault estimation, stability analysis, and various evaluation criteria. The abstract concludes by highlighting the keywords relevant to the study, emphasizing the significance of microgrids, energy storage systems, power converters, droop control, multiple control, and dynamic stability. In summary, this paper contributes to the discourse on renewable energy systems by presenting a comprehensive investigation into the integration of microgrids with wind turbines, offering valuable insights into improving stability, fault detection, and overall performance. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 09596526
- Volume :
- 444
- Database :
- Academic Search Index
- Journal :
- Journal of Cleaner Production
- Publication Type :
- Academic Journal
- Accession number :
- 175771012
- Full Text :
- https://doi.org/10.1016/j.jclepro.2024.140965