Science Explorer Interactive view Map

Power Systems Fault Detection

Power Systems Fault Detection is a research topic within Control and Systems Engineering. Science Explorer counts 20k research works in it since 1950. 11.6% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the development and implementation of adaptive protection schemes for microgrids with high penetration of distributed generation. The research covers topics such as fault detection, relay coordination, optimal protection coordination, fault location using wavelet transform and artificial neural network, and the impact of distributed generation on protective device coordination.

  • Microgrid
  • Protection
  • Fault Detection
  • Distributed Generation
  • Relay Coordination
  • Wavelet Transform
  • Artificial Neural Network
  • Optimal Coordination
  • Fault Location
  • Smart Grids
Research works
20k
fractional, since 1950
In the world top 10%
2.3k
per year above
Top-10% rate
11.6%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+39%
the tick is no change

Which countries lead Power Systems Fault Detection research?

By volume, China and India publish the most (1.8k and 673 works in 2022–2025).

By volume, 2022–2025

  1. 1 China 1.8k works
  2. 2 India 673 works
  3. 3 United States 315 works
  4. 4 Iran 157 works
  5. 5 Brazil 154 works
  6. 6 Indonesia 113 works
  7. 7 Russia 109 works
  8. 8 ?? 88 works
  9. 9 United Kingdom 74 works
  10. 10 Canada 70 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.

China: 50.3%India: 19.1%United States: 8.9%Iran: 4.4%6 others listed: 17.2%50%largest
China1,773 · 50.3%India673 · 19.1%United States315 · 8.9%Iran157 · 4.4%6 others listed607 · 17.2%

Shares of the rows listed above, not of the whole node.

Which institutions lead Power Systems Fault Detection research?

By volume in 2022–2025, China Southern Power Grid (China) publishes the most Power Systems Fault Detection research, followed by State Grid Corporation of China (China) and Shanghai Electric (China).

Who are the leading researchers in Power Systems Fault Detection?

The most-cited researchers publishing on Power Systems Fault Detection include Josep M. Guerrero and Mohammad Shahidehpour.

  1. 1 Josep M. Guerrero Denmark 5.6k citations
  2. 2 Mohammad Shahidehpour United States 3.3k citations

Ranked by citations received across their whole record, among researchers with at least three works on this topic.

Where is Power Systems Fault Detection research done?

The largest centres of Power Systems Fault Detection research in 2022–2025 are Beijing (China), Guangzhou (China), Shanghai (China) and Xi'an (China). Among places with at least 20 works in it, it is an unusually large share of all research in Palo Alto, Beijing and Gurgaon.

Largest cities, 2022–2025

  1. 1 Beijing China 351 works
  2. 2 Guangzhou China 171 works
  3. 3 Shanghai China 149 works
  4. 4 Xi'an China 102 works
  5. 5 Nanjing China 95 works
  6. 6 Wuhan China 89 works
  7. 7 Jinan China 72 works
  8. 8 Chengdu China 64 works
  9. 9 Changsha China 61 works
  10. 10 Tehran Iran 55 works

Where it is the local speciality

  1. Palo AltoUS · 31.4 works21×
  2. Beijing37.1 works20×
  3. GurgaonIN · 27.3 works16×
← less than its size predictsmore →

Location quotient: how much more of its research is in Power Systems Fault Detection than the world average.

See Power Systems Fault Detection on the map

Where is the best place to study Power Systems Fault Detection?

Among universities, judged by research, Siksha O Anusandhan University, Indian Institute of Technology Roorkee and Pandit Deendayal Energy 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.

0%10%20%30%mean 18.38%fractional works in this node (log) →share in the world top 10% →Siksha O Anusandhan University: 16, 18.8%Indian Institute of Technology Roorkee: 26, 16.9%Pandit Deendayal Energy University: 10, 28.2%National Institute of Technology Raipur: 20, 16.1%Shahid Beheshti University: 9, 21.0%King Fahd University of Petroleum and Minerals: 10, 24.5%Shandong University: 54, 5.6%Mansoura University: 11, 22.1%Aalborg University: 14, 23.5%National Institute of Technology Tiruchirappalli: 12, 7.1%Pandit Deendayal Ene…Siksha O Anusandhan …Indian Institute of …National Institute o…
above the meannear itbelow it

One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.

#UniversityScoreTop 10%SpecialisationWorksGrowth
1 Siksha O Anusandhan UniversityIndia 66.018.8%17.1×16 +274.0%
2 Indian Institute of Technology RoorkeeIndia 64.816.9%13.3×26 +152.1%
3 Pandit Deendayal Energy UniversityIndia 64.028.2%21.4×10
4 National Institute of Technology RaipurIndia 63.916.1%31.2×20 +525.7%
5 Shahid Beheshti UniversityIran 61.921.0%8.7×9 +261.7%
6 King Fahd University of Petroleum and MineralsSaudi Arabia 57.224.5%6.8×10 +83.6%
7 Shandong UniversityChina 54.45.6%10.2×54 +84.2%
8 Mansoura UniversityEgypt 54.122.1%5.5×11 +154.4%
9 Aalborg UniversityDenmark 53.223.5%6.2×14 +37.5%
10 National Institute of Technology TiruchirappalliIndia 50.47.1%12.2×12 +182.4%

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 Power Systems Fault Detection research growing?

Output in 2018–2022 was 39% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Power Systems Fault Detection.

19801990200020102020
grewheldshrank

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.