Electric Power System Optimization
Electric Power System Optimization is a research topic within Electrical and Electronic Engineering. Science Explorer counts 27k research works in it since 1950. 19.5% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on the operation and optimization of electricity markets, with a particular emphasis on unit commitment, economic dispatch, renewable energy integration, market power, transmission expansion planning, stochastic optimization, wind power forecasting, ancillary services, electricity market reform, and price volatility.
- Unit Commitment
- Economic Dispatch
- Renewable Energy Integration
- Market Power
- Transmission Expansion Planning
- Stochastic Optimization
- Wind Power Forecasting
- Ancillary Services
- Electricity Market Reform
- Price Volatility
- Research works
- 27k fractional, since 1950
- In the world top 10%
- 5.4k per year above
- Top-10% rate
- 19.5% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- +32% the tick is no change
Which countries lead Electric Power System Optimization research?
By volume, China and India publish the most (2.4k and 517 works in 2022–2025).
By volume, 2022–2025
- 1 China 2.4k works
- 2 India 517 works
- 3 United States 496 works
- 4 Iran 197 works
- 5 Germany 165 works
- 6 United Kingdom 147 works
- 7 Brazil 120 works
- 8 Spain 120 works
- 9 Australia 106 works
- 10 Türkiye 95 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 Electric Power System Optimization research?
By volume in 2022–2025, North China Electric Power University publishes the most Electric Power System Optimization research, followed by State Grid Corporation of China (China) and China Southern Power Grid (China).
By volume, 2022–2025
- 1 North China Electric Power UniversityChina 181 works
- 2 State Grid Corporation of China (China)China 119 works
- 3 China Southern Power Grid (China)China 94 works
- 4 Shanghai Electric (China)China 87 works
- 5 Tsinghua UniversityChina 74 works
- 6 Xi'an Jiaotong UniversityChina 69 works
- 7 South China University of TechnologyChina 62 works
- 8 Southeast UniversityChina 53 works
- 9 Shanghai Jiao Tong UniversityChina 51 works
- 10 Zhejiang UniversityChina 49 works
Who are the leading researchers in Electric Power System Optimization?
The most-cited researchers publishing on Electric Power System Optimization include H. Vincent Poor, Josep M. Guerrero and Georgios B. Giannakis.
- 1 H. Vincent Poor United States 9.5k citations
- 2 Josep M. Guerrero Denmark 5.6k citations
- 3 Georgios B. Giannakis United States 4.6k citations
- 4 Manfred Morari Switzerland 3.4k citations
- 5 Mohammad Shahidehpour United States 3.3k citations
- 6 Andrea Goldsmith United States 3.2k citations
- 7 Zhao Yang Dong Australia 3.1k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Electric Power System Optimization research done?
The largest centres of Electric Power System Optimization 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, Beijing and Jilin City.
Largest cities, 2022–2025
Where it is the local speciality
- YangpuCN · 35.6 works32×
- Beijing45.1 works18×
- Jilin CityCN · 29.5 works15×
Location quotient: how much more of its research is in Electric Power System Optimization than the world average.
Where is the best place to study Electric Power System Optimization?
Among universities, judged by research, Aswan University, North China Electric Power University and Hohai 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 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 | 64.7 | 44.6% | 17.9× | 9 | — |
| 2 | North China Electric Power UniversityChina | 60.9 | 18.2% | 45.8× | 181 | +30.1% |
| 3 | Hohai UniversityChina | 57.1 | 14.1% | 14.0× | 46 | +136.9% |
| 4 | Northeast Electric Power UniversityChina | 56.9 | 12.6% | 36.5× | 29 | +225.5% |
| 5 | Tianjin UniversityChina | 55.8 | 28.5% | 5.2× | 37 | +282.9% |
| 6 | Southeast UniversityChina | 55.6 | 17.8% | 6.6× | 53 | +298.4% |
| 7 | Tsinghua UniversityChina | 54.3 | 22.4% | 6.3× | 74 | +114.2% |
| 8 | South China University of TechnologyChina | 53.8 | 9.6% | 9.6× | 62 | +117.0% |
| 9 | Xi'an University of TechnologyChina | 53.0 | 35.8% | 7.6× | 15 | +88.3% |
| 10 | Xi'an Jiaotong UniversityChina | 51.9 | 13.1% | 7.2× | 69 | +146.6% |
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 Electric Power System Optimization research growing?
Output in 2018–2022 was 32% higher than in 2013–2017, peaking in 2023. The fastest-growing topics are Electric Power System Optimization.
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.