H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Engineering and Technology D-index 52 Citations 9,099 193 World Ranking 1331 National Ranking 149

Research.com Recognitions

Awards & Achievements

2019 - Member of Academia Europaea

2008 - IEEE Fellow For contributions to optimization techniques for power systems

2004 - Fellow of the Royal Academy of Engineering (UK)

Overview

What is he best known for?

The fields of study he is best known for:

  • Electrical engineering
  • Algorithm
  • Mathematical optimization

Yonghua Song mostly deals with Electric power system, Simulation, Automotive engineering, Electric vehicle and Smart grid. His Electric power system study incorporates themes from Wind power, Automatic frequency control, Power control and Vehicle-to-grid. The various areas that Yonghua Song examines in his Simulation study include Linear programming and Distributed computing.

His Automotive engineering research is multidisciplinary, incorporating elements of Grid parity, Distributed generation, Photovoltaics and Energy storage. His work on Charging station is typically connected to Urban area as part of general Electric vehicle study, connecting several disciplines of science. His study focuses on the intersection of Smart grid and fields such as Peak demand with connections in the field of Smart meter, Price signal, Demand response, Load profile and Electrification.

His most cited work include:

  • Flexible AC Transmission Systems (FACTS) (792 citations)
  • Decentralized Vehicle-to-Grid Control for Primary Frequency Regulation Considering Charging Demands (277 citations)
  • Photovoltaic and solar power forecasting for smart grid energy management (243 citations)

What are the main themes of his work throughout his whole career to date?

His primary areas of study are Electric power system, Mathematical optimization, Wind power, Automotive engineering and Electricity. His study in Electric power system is interdisciplinary in nature, drawing from both Reliability engineering, Automatic frequency control, Control theory and Renewable energy. His research investigates the connection between Mathematical optimization and topics such as Probabilistic logic that intersect with issues in Extreme learning machine.

His studies deal with areas such as Control engineering, Simulation and Energy storage as well as Wind power. In his study, Electrical engineering is inextricably linked to Electric vehicle, which falls within the broad field of Automotive engineering. His work in Electricity tackles topics such as Energy consumption which are related to areas like Demand response.

He most often published in these fields:

  • Electric power system (45.16%)
  • Mathematical optimization (30.41%)
  • Wind power (23.04%)

What were the highlights of his more recent work (between 2019-2021)?

  • Control theory (20.74%)
  • Electric power system (45.16%)
  • Smart grid (16.13%)

In recent papers he was focusing on the following fields of study:

His primary areas of investigation include Control theory, Electric power system, Smart grid, Mathematical optimization and Reliability engineering. His Electric power system research includes themes of Automotive engineering and Renewable energy. His research integrates issues of Bidding, CVAR and Energy storage in his study of Automotive engineering.

His research investigates the link between Renewable energy and topics such as Hydropower that cross with problems in Wind power. Yonghua Song focuses mostly in the field of Smart grid, narrowing it down to matters related to Demand response and, in some cases, Telecommunications, Energy engineering, Energy management system, Voltage regulation and Tap changer. His work deals with themes such as Distribution networks, Power dispatch and Robustness, which intersect with Mathematical optimization.

Between 2019 and 2021, his most popular works were:

  • 5G network-based Internet of Things for demand response in smart grid: A survey on application potential (44 citations)
  • 5G network-based Internet of Things for demand response in smart grid: A survey on application potential (44 citations)
  • 5G network-based Internet of Things for demand response in smart grid: A survey on application potential (44 citations)

In his most recent research, the most cited papers focused on:

  • Electrical engineering
  • Algorithm
  • Artificial intelligence

Yonghua Song mainly focuses on Smart grid, Reliability engineering, Demand response, State and Telecommunications. His Smart grid research is multidisciplinary, incorporating perspectives in Efficient energy use, Energy supply, Energy market, Artificial intelligence and Management control system. His study in the field of Hot spare is also linked to topics like Influence diagram.

The Demand response study combines topics in areas such as Photovoltaics, Tap changer, Voltage regulation, Voltage and Energy management system. Yonghua Song combines subjects such as Blackout, Cascading failure, Electric power system and Sequence optimization with his study of State. As part of his studies on Telecommunications, Yonghua Song often connects relevant subjects like Energy engineering.

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.

Best Publications

Flexible AC Transmission Systems (FACTS)

Yong Hua Song;Allan T. Johns.
(1999)

1242 Citations

Modern Power Systems Analysis

Yong Hua Song.
(2008)

530 Citations

Decentralized Vehicle-to-Grid Control for Primary Frequency Regulation Considering Charging Demands

Hui Liu;Zechun Hu;Yonghua Song;Jin Lin.
IEEE Transactions on Power Systems (2013)

367 Citations

Photovoltaic and solar power forecasting for smart grid energy management

Can Wan;Jian Zhao;Yonghua Song;Zhao Xu.
CSEE Journal of Power and Energy Systems (2015)

343 Citations

Vehicle-to-Grid Control for Supplementary Frequency Regulation Considering Charging Demands

Hui Liu;Zechun Hu;Yonghua Song;Jianhui Wang.
IEEE Transactions on Power Systems (2015)

191 Citations

A Comprehensive Review on the Development of Sustainable Energy Strategy and Implementation in China

Xia Yang;Yonghua Song;Guanghui Wang;Weisheng Wang.
IEEE Transactions on Sustainable Energy (2010)

182 Citations

Experimental study of a new hybrid PSO with mutation for economic dispatch with non-smooth cost function

Haiyan Lu;Pichet Sriyanyong;Yong Hua Song;Tharam Dillon.
International Journal of Electrical Power & Energy Systems (2010)

175 Citations

Optimal siting and sizing of electric vehicle charging stations

Long Jia;Zechun Hu;Yonghua Song;Zhuowei Luo.
ieee international electric vehicle conference (2012)

160 Citations

Evaluation of Achievable Vehicle-to-Grid Capacity Using Aggregate PEV Model

Hongcai Zhang;Zechun Hu;Zhiwei Xu;Yonghua Song.
IEEE Transactions on Power Systems (2017)

155 Citations

PEV Fast-Charging Station Siting and Sizing on Coupled Transportation and Power Networks

Hongcai Zhang;Scott J. Moura;Zechun Hu;Yonghua Song.
IEEE Transactions on Smart Grid (2018)

148 Citations

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