Science Explorer Interactive view Map

Power Systems and Renewable Energy

Power Systems and Renewable Energy is a research topic within Energy Engineering and Power Technology. Science Explorer counts 40k research works in it since 1950. 5.4% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the application of energy storage technologies, such as battery systems and pumped-storage power stations, in integrating renewable energy sources like photovoltaic and wind power into power grids. It also addresses the challenges and benefits of energy storage, including frequency regulation, grid stability, and environmental impact.

  • Energy Storage
  • Power Systems
  • Renewable Energy
  • Grid Integration
  • Photovoltaic Generation
  • Frequency Regulation
  • Wind Power
  • Smart Grid
  • Battery Technology
  • Environmental Impact
Research works
40k
fractional, since 1950
In the world top 10%
2.2k
per year above
Top-10% rate
5.4%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
-23%
the tick is no change

Which countries lead Power Systems and Renewable Energy research?

By volume, China and India publish the most (6.3k and 714 works in 2022–2025).

By volume, 2022–2025

  1. 1 China 6.3k works
  2. 2 India 714 works
  3. 3 United States 353 works
  4. 4 ?? 244 works
  5. 5 Japan 113 works
  6. 6 United Kingdom 93 works
  7. 7 Indonesia 84 works
  8. 8 South Korea 84 works
  9. 9 Iran 79 works
  10. 10 Algeria 78 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: 77.4%India: 8.8%United States: 4.3%??: 3.0%6 others listed: 6.5%77%largest
China6,312 · 77.4%India714 · 8.8%United States353 · 4.3%??244 · 3.0%6 others listed530 · 6.5%

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

Which institutions lead Power Systems and Renewable Energy research?

By volume in 2022–2025, North China Electric Power University publishes the most Power Systems and Renewable Energy research, followed by State Grid Corporation of China (China) and Shanghai Electric (China).

Who are the leading researchers in Power Systems and Renewable Energy?

The most-cited researchers publishing on Power Systems and Renewable Energy include Frede Blaabjerg, Josep M. Guerrero and Marco Liserre.

  1. 1 Frede Blaabjerg Denmark 12k citations
  2. 2 Josep M. Guerrero Denmark 5.6k citations
  3. 3 Marco Liserre Germany 4.6k citations
  4. 4 Qiang Zhang China 4.5k citations
  5. 5 Remus Teodorescu Denmark 4.2k citations
  6. 6 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 and Renewable Energy research done?

The largest centres of Power Systems and Renewable Energy research in 2022–2025 are Beijing (China), Shanghai (China), Nanjing (China) and Guangzhou (China). Among places with at least 20 works in it, it is an unusually large share of all research in Baishan, Yangpu and Beijing.

Largest cities, 2022–2025

  1. 1 Beijing China 1.4k works
  2. 2 Shanghai China 553 works
  3. 3 Nanjing China 428 works
  4. 4 Guangzhou China 409 works
  5. 5 Wuhan China 283 works
  6. 6 Jinan China 221 works
  7. 7 Xi'an China 210 works
  8. 8 Hangzhou China 195 works
  9. 9 Chengdu China 170 works
  10. 10 Changsha China 166 works

Where it is the local speciality

  1. BaishanCN · 40.3 works123×
  2. YangpuCN · 68.4 works40×
  3. Beijing144.7 works38×
  4. Jilin CityCN · 72.0 works24×
  5. Palo AltoUS · 63.2 works21×
  6. HohhotCN · 134.4 works18×
← less than its size predictsmore →

Location quotient: how much more of its research is in Power Systems and Renewable Energy than the world average.

See Power Systems and Renewable Energy on the map

Where is the best place to study Power Systems and Renewable Energy?

Among universities, judged by research, Aalborg University, North China Electric Power University and Delhi Technological 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%mean 8.95%fractional works in this node (log) →share in the world top 10% →Aalborg University: 32, 23.7%North China Electric Power University: 393, 6.0%Delhi Technological University: 18, 17.2%Northeast Electric Power University: 67, 8.5%Shandong University: 119, 3.0%Hunan University: 58, 7.9%Inner Mongolia University of Technology: 41, 8.6%Tsinghua Sichuan Energy Internet Research Institute: 18, 6.4%Hefei University of Technology: 56, 6.4%Indian Institute of Technology Delhi: 34, 1.8%Aalborg UniversityDelhi Technological …Northeast Electric P…North China Electric…
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 Aalborg UniversityDenmark 71.923.7%6.8×32 +180.4%
2 North China Electric Power UniversityChina 53.36.0%64.7×393 -64.4%
3 Delhi Technological UniversityIndia 50.117.2%7.0×18 +70.8%
4 Northeast Electric Power UniversityChina 48.28.5%55.2×67 -76.5%
5 Shandong UniversityChina 45.33.0%11.0×119 -32.7%
6 Hunan UniversityChina 45.07.9%9.2×58 -77.0%
7 Inner Mongolia University of TechnologyChina 44.98.6%34.6×41 -82.2%
8 Tsinghua Sichuan Energy Internet Research InstituteChina 44.76.4%134.6×18
9 Hefei University of TechnologyChina 44.36.4%11.1×56 -56.5%
10 Indian Institute of Technology DelhiIndia 44.31.8%7.4×34 +732.1%

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 and Renewable Energy research growing?

Output in 2018–2022 was 23% lower than in 2013–2017, peaking in 2024.

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.