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. 9.9% 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%
- 1.7k per year above
- Top-10% rate
- 9.9% share of its works in the world top 10%
- Growth, 2018-21 → 2022-25
- +6% the tick is no change
- Largest producer
China
42% of the 10 largest, 2022-now
Which countries lead Islanding Detection in Power Systems research?
By volume, China and India publish the most (1.6k and 962 works in 2022-now).
By volume, 2022-now
- 1
China 1.6k works
- 2
India 962 works
- 3
United States 402 works
- 4
Brazil 213 works
- 5
Iran 181 works
- 6
Indonesia 114 works
- 7
Australia 101 works
- 8
United Kingdom 92 works
- 9
Germany 91 works
- 10
Egypt 87 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-now, State Grid Corporation of China (China) publishes the most Islanding Detection in Power Systems research, followed by North China Electric Power University and Xi'an Jiaotong University.
By volume, 2022-now
- 1
State Grid Corporation of China (China)
China 98 works
- 2
North China Electric Power University
China 71 works
- 3
Xi'an Jiaotong University
China 62 works
- 4
Shanghai Electric (China)
China 58 works
- 5
Aalborg University
Denmark 55 works
- 6
Shandong University
China 54 works
- 7
China Southern Power Grid (China)
China 51 works
- 8
Huazhong University of Science and Technology
China 47 works
- 9
Zhejiang University
China 44 works
- 10
Indian Institute of Technology Roorkee
India 38 works
Who are the leading researchers in Islanding Detection in Power Systems?
The most-cited researchers publishing on Islanding Detection in Power Systems include Kai You Wang, Frede Blaabjerg and Hua Zhang.
- 1
Kai You Wang
China 224k citations
- 2
Frede Blaabjerg
Denmark 203k citations
- 3
Hua Zhang
Singapore 196k citations
- 4
H. Vincent Poor
United States 165k citations
- 5
Seyedali Mirjalili
Australia 154k citations
- 6
Huan Liu
Australia 148k citations
- 7
Bin Cao
China 128k citations
- 8
Josep Maria Guerrero
Denmark 123k citations
- 9
Hao Chen
China 118k citations
- 10
A. S. Cerqueira
France 116k 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-now 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, Golden and Roorkee.
Largest cities, 2022-now
Where it is the local speciality
- AalborgDK · 54.8 works18×
- GoldenUS · 20.5 works16×
- RoorkeeIN · 37.8 works15×
- Palo AltoUS · 27.1 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, Monash University and Xi'an Jiaotong University 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 first ten of the table below, at the default weights. The upper left is the interesting corner: small places doing unusually strong work.
Universities only. The score blends excellence (40%), size (30%), specialisation (10%), growth (10%), international reach (10%), 2022-now; growth compares 2018-21 with 2022-25 and counts up to +20%, since a jump from a small base is mostly noise.
Every institution in Islanding Detection in Power Systems, country by countryIs Islanding Detection in Power Systems research growing?
Output in 2022-2025 was 6% higher than in 2018-2021, 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.
Its share of all research
Growing output can still be a shrinking share: all of science grows. This is Islanding Detection in Power Systems as a percentage of every work published that year, 0.017% in 2024.
Fractional works of Islanding Detection in Power Systems over all fractional works that year. How the balance of science has shifted.
How much of it reaches the world top 10%
Year by year.
Of each year's works in it, the share that reached the world's 10% most cited for their field and year. A field is the world for its own topics, so there is no other line to hold it against.
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.
Discussion
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