Optimal Power Flow Distribution
Optimal Power Flow Distribution is a research topic within Electrical and Electronic Engineering. Science Explorer counts 32k research works in it since 1950. 17.3% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on the integration of distributed generation, including renewable energy sources, into power systems. It covers topics such as optimal power flow, voltage control, resilience to extreme weather events, microgrid formation, and probabilistic analysis of distribution systems. The research also explores optimization techniques and network reconfiguration for efficient integration of distributed generation.
- Distributed Generation
- Optimal Power Flow
- Distribution Systems
- Renewable Energy
- Voltage Control
- Resilience
- Optimization
- Microgrids
- Probabilistic Analysis
- Network Reconfiguration
- Research works
- 32k fractional, since 1950
- In the world top 10%
- 5.5k per year above
- Top-10% rate
- 17.3% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- +39% the tick is no change
Which countries lead Optimal Power Flow Distribution research?
By volume, China and India publish the most (2.4k and 962 works in 2022–2025).
By volume, 2022–2025
- 1 China 2.4k works
- 2 India 962 works
- 3 United States 756 works
- 4 Iran 333 works
- 5 Brazil 228 works
- 6 United Kingdom 147 works
- 7 Germany 140 works
- 8 Egypt 133 works
- 9 Australia 127 works
- 10 Saudi Arabia 119 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 Optimal Power Flow Distribution research?
By volume in 2022–2025, State Grid Corporation of China (China) publishes the most Optimal Power Flow Distribution research, followed by China Southern Power Grid (China) and North China Electric Power University.
By volume, 2022–2025
- 1 State Grid Corporation of China (China)China 143 works
- 2 China Southern Power Grid (China)China 129 works
- 3 North China Electric Power UniversityChina 122 works
- 4 Shanghai Electric (China)China 118 works
- 5 Xi'an Jiaotong UniversityChina 76 works
- 6 Shandong UniversityChina 63 works
- 7 Tianjin UniversityChina 63 works
- 8 Tsinghua UniversityChina 62 works
- 9 Southeast UniversityChina 59 works
- 10 Zhejiang UniversityChina 57 works
Who are the leading researchers in Optimal Power Flow Distribution?
The most-cited researchers publishing on Optimal Power Flow Distribution include Frede Blaabjerg, H. Vincent Poor and Josep M. Guerrero.
- 1 Frede Blaabjerg Denmark 12k citations
- 2 H. Vincent Poor United States 9.5k citations
- 3 Josep M. Guerrero Denmark 5.6k citations
- 4 Marco Liserre Germany 4.6k citations
- 5 Georgios B. Giannakis United States 4.6k citations
- 6 Manfred Morari Switzerland 3.4k citations
- 7 Mohammad Shahidehpour United States 3.3k citations
- 8 Bhim Singh India 3.3k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Optimal Power Flow Distribution research done?
The largest centres of Optimal Power Flow Distribution research in 2022–2025 are Beijing (China), Shanghai (China), Guangzhou (China) and Nanjing (China). Among places with at least 20 works in it, it is an unusually large share of all research in Yangpu, Golden and Palo Alto.
Largest cities, 2022–2025
Where it is the local speciality
- YangpuCN · 29.5 works22×
- GoldenUS · 35.4 works18×
- Palo AltoUS · 36.9 works15×
Location quotient: how much more of its research is in Optimal Power Flow Distribution than the world average.
Where is the best place to study Optimal Power Flow Distribution?
Among universities, judged by research, Aswan University, Xi'an Jiaotong University and University of North Carolina at Charlotte 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 | Aswan UniversityEgypt | 75.2 | 32.1% | 31.0× | 19 | +455.5% |
| 2 | Xi'an Jiaotong UniversityChina | 60.3 | 17.0% | 6.5× | 76 | +278.5% |
| 3 | University of North Carolina at CharlotteUnited States | 60.0 | 17.2% | 12.7× | 17 | +304.8% |
| 4 | Nanyang Technological UniversitySingapore | 59.5 | 26.0% | 4.9× | 29 | +163.1% |
| 5 | Shahid Beheshti UniversityIran | 59.1 | 14.8% | 10.7× | 18 | +239.1% |
| 6 | Hohai UniversityChina | 59.0 | 10.5% | 10.2× | 41 | +167.1% |
| 7 | North China Electric Power UniversityChina | 58.8 | 10.6% | 25.2× | 122 | +53.9% |
| 8 | Illinois Institute of TechnologyUnited States | 57.4 | 30.0% | 16.6× | 10 | +36.7% |
| 9 | Northeast Electric Power UniversityChina | 57.2 | 15.0% | 31.6× | 30 | +118.9% |
| 10 | University of TabrizIran | 57.0 | 36.5% | 6.7× | 12 | +80.3% |
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 Optimal Power Flow Distribution research growing?
Output in 2018–2022 was 39% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Optimal Power Flow Distribution.
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.