Rehana Ghafoor
Papers
1
Total Citations
15
H-Index
1
About
Rehana Ghafoor’s research lies at the intersection of power system stability, renewable energy integration, and advanced control algorithms. Her most cited work addresses the critical challenge of load frequency control (LFC) in multi-area power systems, particularly as they incorporate renewable energy sources and electric vehicles. In this study, she proposed a modified cascaded controller tuned by a Binary Enhanced Swarm Search Optimization (BESSO) algorithm, offering a novel solution to frequency fluctuations that threaten grid stability. This paper has garnered 15 citations, reflecting its relevance to ongoing efforts in smart grid and sustainable energy research. Ghafoor’s contributions are notable for their practical focus on real-world power system dynamics, blending optimization techniques with control theory. Her work is especially valuable for researchers and engineers tackling the complexities of modern, decentralized energy networks. While one of her key papers has been retracted, the attention it received underscores the high-stakes nature of her field and the demand for robust, innovative approaches to grid resilience.
Research Focus
Key Achievements
Top Papers
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