What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Electrical engineering
- Control theory
Hongbin Sun mainly investigates AC power, Control theory, Electric power system, Control engineering and Voltage.
His AC power study integrates concerns from other disciplines, such as Distributed generation, Electronic engineering and Microgrid.
The concepts of his Control theory study are interwoven with issues in Transmission system operator and Tripping.
His research integrates issues of Control, Key and Power station in his study of Electric power system.
In his research, Model predictive control, Aerodynamics, Robustness and Reliability engineering is intimately related to Wind power, which falls under the overarching field of Control engineering.
The study incorporates disciplines such as Benders' decomposition, Power system security and Optimal allocation in addition to Voltage.
His most cited work include:
- Vulnerability assessment for cascading failures in electric power systems (75 citations)
- Review of Challenges and Research Opportunities for Voltage Control in Smart Grids (65 citations)
- Optimal Distributed Control for Secondary Frequency and Voltage Regulation in an Islanded Microgrid (56 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Electric power system, Control theory, Mathematical optimization, AC power and Renewable energy.
His work carried out in the field of Electric power system brings together such families of science as Control engineering, Reliability engineering, Distributed computing and Robustness.
His work in Control theory addresses subjects such as Wind power, which are connected to disciplines such as Automotive engineering.
Within one scientific family, he focuses on topics pertaining to Electricity under Mathematical optimization, and may sometimes address concerns connected to Cogeneration.
His AC power research incorporates elements of Transformer and Microgrid.
His Renewable energy study combines topics in areas such as Robust optimization and Energy storage.
He most often published in these fields:
- Electric power system (42.91%)
- Control theory (29.39%)
- Mathematical optimization (26.01%)
What were the highlights of his more recent work (between 2019-2021)?
- Electric power system (42.91%)
- Mathematical optimization (26.01%)
- Control theory (29.39%)
In recent papers he was focusing on the following fields of study:
Electric power system, Mathematical optimization, Control theory, Electricity and Renewable energy are his primary areas of study.
His Electric power system research is multidisciplinary, incorporating perspectives in Cogeneration and Robustness.
His Mathematical optimization research integrates issues from Convergence and Wind power.
The Control theory study combines topics in areas such as Reliability, AC power and Voltage regulation.
His Electricity research includes themes of Profit, Operations security and Econometrics.
His biological study spans a wide range of topics, including Electricity generation, Reliability engineering and Electric power.
Between 2019 and 2021, his most popular works were:
- Automatic Generation Control Based on Multiple Neural Networks With Actor-Critic Strategy (18 citations)
- Distributed, Neurodynamic-Based Approach for Economic Dispatch in an Integrated Energy System (15 citations)
- A Biased Min-Consensus-Based Approach for Optimal Power Transaction in Multi-Energy-Router Systems (12 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Electrical engineering
- Mathematical optimization
His primary scientific interests are in Electric power system, Mathematical optimization, Distributed generation, AC power and Distributed computing.
His study in Electric power system is interdisciplinary in nature, drawing from both Cogeneration, Robustness and Renewable energy.
He interconnects Probabilistic logic, Nonlinear programming and Electricity in the investigation of issues within Mathematical optimization.
His Distributed generation research incorporates themes from Convergence and Broadcasting.
His study explores the link between AC power and topics such as Linearization that cross with problems in Quadratic programming and State variable.
Hongbin Sun has included themes like Transmission and Voltage stability in his Control theory study.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
