Power Quality Analysis
2 researchers across 1 institution
Research in power quality analysis addresses disturbances and deviations in electrical power systems that can impact the performance and reliability of connected equipment. Investigations focus on identifying, characterizing, and mitigating phenomena such as voltage sags, swells, harmonics, and transients. Methodologies include advanced signal processing techniques, mathematical modeling of power system components, and experimental measurements under various operating conditions. This field examines the effects of nonlinear loads, switching events, and faults on power system waveform integrity.
This work is relevant to Arkansas's diverse industrial base, including manufacturing, agriculture, and data centers, all of which rely on stable and clean power for efficient operation. Ensuring high power quality is crucial for minimizing downtime, reducing maintenance costs, and protecting sensitive electronic equipment within these sectors. Furthermore, as Arkansas integrates more renewable energy sources like solar and wind, understanding their impact on grid stability and power quality becomes increasingly important for maintaining a robust and reliable electricity supply across the state.
This research area intersects with power system stability and control, renewable energy integration, and grid security. Engagement spans multiple institutions within Arkansas, fostering a collaborative environment for addressing complex power system challenges.
Top Researchers
| Name | Institution | h-index | Citations | Career Stage | Badges |
|---|---|---|---|---|---|
| Daniel R. Jagessar | University of Arkansas | 3 | 34 | ||
| Lizbeth Guardado | University of Arkansas | 2 | 19 |
Related Research Areas
Strategic Outlook
Global signals from OpenAlex for this research area: where the field is growing, how concentrated leadership is, and where Arkansas sits relative to the world's top-100 institutions. Descriptive only — surfaced as input to the conversation about where to place bets, not a recommendation. Signal confidence: MEDIUM
Top US institutions in this area
- 1 Electric Power Research Institute 305
- 2 National Institute of Standards and Technology 193
- 3 General Electric (United States) 145
- 4 The University of Texas at Austin 132
- 5 Texas A&M University 112