Islanding Detection in Power Systems
Islanding Detection in Power Systems is a research topic within Electrical and Electronic Engineering. Science Explorer counts 17k research works in it since 1950. 17.4% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on the development, evaluation, and comparison of islanding detection methods for distributed generations, particularly in the context of grid-connected inverters and microgrid protection. The research covers a wide range of techniques such as frequency drift methods, wavelet-based detection, active islanding detection, and anti-islanding schemes.
- Islanding Detection
- Distributed Generation
- Anti-Islanding Schemes
- Grid-Connected Inverters
- Frequency Drift Method
- Wavelet-Based Detection
- Active Islanding Detection
- Inverter-Based DGs
- Power Quality Disturbance Detection
- Microgrid Protection
- Research works
- 17k fractional, since 1950
- In the world top 10%
- 3k per year above
- Top-10% rate
- 17.4% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- +55% the tick is no change
Which countries lead Islanding Detection in Power Systems research?
By volume, China and India publish the most (1.3k and 824 works in 2022–2025).
By volume, 2022–2025
- 1 China 1.3k works
- 2 India 824 works
- 3 United States 350 works
- 4 Brazil 203 works
- 5 Iran 161 works
- 6 Indonesia 103 works
- 7 Australia 90 works
- 8 United Kingdom 80 works
- 9 Germany 80 works
- 10 Egypt 77 works
How concentrated that is
The same countries as shares of everything the list above accounts for. A node where two countries do two thirds of the work and one spread evenly across twelve read alike as a ranking and not at all alike here.
Shares of the rows listed above, not of the whole node.
Which institutions lead Islanding Detection in Power Systems research?
By volume in 2022–2025, State Grid Corporation of China (China) publishes the most Islanding Detection in Power Systems research, followed by North China Electric Power University and Aalborg University.
By volume, 2022–2025
- 1 State Grid Corporation of China (China)China 65 works
- 2 North China Electric Power UniversityChina 59 works
- 3 Aalborg UniversityDenmark 52 works
- 4 Xi'an Jiaotong UniversityChina 50 works
- 5 Shanghai Electric (China)China 47 works
- 6 Shandong UniversityChina 47 works
- 7 China Southern Power Grid (China)China 42 works
- 8 Zhejiang UniversityChina 38 works
- 9 Huazhong University of Science and TechnologyChina 38 works
- 10 Indian Institute of Technology RoorkeeIndia 37 works
Who are the leading researchers in Islanding Detection in Power Systems?
The most-cited researchers publishing on Islanding Detection in Power Systems include Frede Blaabjerg, Josep M. Guerrero and Marco Liserre.
- 1 Frede Blaabjerg Denmark 12k citations
- 2 Josep M. Guerrero Denmark 5.6k citations
- 3 Marco Liserre Germany 4.6k citations
- 4 Remus Teodorescu Denmark 4.2k citations
- 5 Mohammad Shahidehpour United States 3.3k citations
- 6 Bhim Singh India 3.3k citations
- 7 Pedro Rodríguez Spain 2.8k citations
- 8 Xinghuo Yu Australia 2.6k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Islanding Detection in Power Systems research done?
The largest centres of Islanding Detection in Power Systems research in 2022–2025 are Beijing (China), Shanghai (China), Nanjing (China) and Wuhan (China). Among places with at least 20 works in it, it is an unusually large share of all research in Aalborg, Roorkee and Palo Alto.
Largest cities, 2022–2025
Where it is the local speciality
- AalborgDK · 52.5 works19×
- RoorkeeIN · 36.8 works17×
- Palo AltoUS · 22.3 works15×
Location quotient: how much more of its research is in Islanding Detection in Power Systems than the world average.
Where is the best place to study Islanding Detection in Power Systems?
Among universities, judged by research, Aalborg University, Khalifa University of Science and Technology and Indian Institute of Technology Roorkee score highest, combining excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.
One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.
| # | University | Score | Top 10% | Specialisation | Works | Growth |
|---|---|---|---|---|---|---|
| 1 | Aalborg UniversityDenmark | 73.6 | 30.0% | 22.6× | 52 | +138.4% |
| 2 | Khalifa University of Science and TechnologyUnited Arab Emirates | 65.8 | 30.8% | 11.3× | 12 | +418.4% |
| 3 | Indian Institute of Technology RoorkeeIndia | 61.9 | 12.6% | 18.0× | 37 | +208.6% |
| 4 | Indian Institute of Technology DelhiIndia | 58.7 | 10.3% | 14.2× | 33 | +177.5% |
| 5 | Shandong UniversityChina | 57.4 | 8.5% | 8.7× | 47 | +176.4% |
| 6 | Hunan UniversityChina | 57.4 | 20.9% | 8.0× | 25 | +209.2% |
| 7 | Siksha O Anusandhan UniversityIndia | 56.5 | 14.6% | 20.0× | 18 | +452.7% |
| 8 | North China Electric Power UniversityChina | 55.5 | 10.3% | 19.4× | 58 | +50.6% |
| 9 | National Institute of Technology RaipurIndia | 52.5 | 15.6% | 19.8× | 13 | +394.9% |
| 10 | Hefei University of TechnologyChina | 49.1 | 13.3% | 9.5× | 24 | +78.6% |
Universities only. Score blends excellence (30%), specialisation (25%), size (20%), growth (15%) and international reach (10%), 2015–2022; growth compares 2010–14 with 2015–19.
Is Islanding Detection in Power Systems research growing?
Output in 2018–2022 was 55% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Islanding Detection in Power Systems.
The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.
Which topics inside it are moving
Growth and decline on one axis around a shared zero. Two lists side by side hide the thing that matters: whether the growth dwarfs the decline, or the other way round.