World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
66
Citations
16028
World Ranking
1155
National Ranking
203

Research.com Recognitions

  • 2021 - IEEE Fellow For contributions to fault diagnosis in power grids

Overview

Fushuan Wen is affiliated with Zhejiang University in China and has an extensive research portfolio primarily in the field of Engineering. Their work covers a broad spectrum of subfields including Electrical and Electronic Engineering, Control and Systems Engineering, Automotive Engineering, Safety, Risk, Reliability and Quality, as well as Renewable Energy, Sustainability and the Environment.

The main topics of their research focus on Smart Grid Energy Management, Microgrid Control and Optimization, Optimal Power Flow Distribution, Electric Power System Optimization, Electric Vehicles and Infrastructure, Integrated Energy Systems Optimization, and Smart Grid Security and Resilience.

Wen's recent publications highlight contributions to power systems, smart grids, and industrial informatics. Notable papers include:

  • Practical Method for Mitigating Three-Phase Unbalance Based on Data-Driven User Phase Identification (2020, IEEE Transactions on Power Systems)
  • Peer-to-Peer Energy Trading Under Network Constraints Based on Generalized Fast Dual Ascent (2022, IEEE Transactions on Smart Grid)
  • Joint Planning of EV Fast Charging Stations and Power Distribution Systems with Balanced Traffic Flow Assignment (2020, IEEE Transactions on Industrial Informatics)
  • Technologies and Practical Implementations of Air-conditioner Based Demand Response (2021, Journal of Modern Power Systems and Clean Energy)
  • Real-Time Corporate Carbon Footprint Estimation Methodology Based on Appliance Identification (2022, IEEE Transactions on Industrial Informatics)

Collaborations have been frequent with several researchers, including:

  • Ivo Palu
  • Zhenzhi Lin
  • Jiajia Yang
  • Junhua Zhao
  • Kaiyuan Pang

Their work has been published repeatedly in leading venues such as:

  • Energy Conversion and Economics
  • 2020 International Conference on Smart Grids and Energy Systems (SGES)
  • IEEE Transactions on Power Systems
  • Energies
  • IEEE Transactions on Smart Grid

Wen received the IEEE Fellow recognition in 2021 for contributions to fault diagnosis in power grids, reflecting a specialized focus within their broader research area.

Best Publications

  • Optimal Planning of Electric-Vehicle Charging Stations in Distribution Systems

    Zhipeng Liu;Fushuan Wen;G. Ledwich

  • Optimal bidding strategies and modeling of imperfect information among competitive generators

    Fushuan Wen;A.K. David

  • Strategic bidding in competitive electricity markets: a literature survey

    A.K. David;Fushuan Wen

  • Optimal Siting and Sizing of Distributed Generators in Distribution Systems Considering Uncertainties

    Zhipeng Liu;Fushuan Wen;G. Ledwich

  • Traffic-Constrained Multiobjective Planning of Electric-Vehicle Charging Stations

    Guibin Wang;Zhao Xu;Fushuan Wen;Kit Po Wong

  • From smart grid to energy internet: basic concept and research framework

    Zhaoyang Dong;Junhua Zhao;Fushuan Wen;Yusheng Xue

  • A Multi-Objective Collaborative Planning Strategy for Integrated Power Distribution and Electric Vehicle Charging Systems

    Weifeng Yao;Junhua Zhao;Fushuan Wen;Zhaoyang Dong

  • Optimal Dispatch of Electric Vehicles and Wind Power Using Enhanced Particle Swarm Optimization

    JunHua Zhao;Fushuan Wen;Zhao Yang Dong;Yusheng Xue

  • Market Power in Electricity Supply

    A. K. David;F. Wen

  • A Hierarchical Decomposition Approach for Coordinated Dispatch of Plug-in Electric Vehicles

    Weifeng Yao;Junhua Zhao;Fushuan Wen;Yusheng Xue

  • Transmission investment and expansion planning in a restructured electricity market

    F.F Wu;F.F Wu;F.L. Zheng;F.L. Zheng;F.S. Wen;F.S. Wen

  • Causes of transformer failures and diagnostic methods – A review

    Christina Aj;M.A. Salam;Q.M. Rahman;Fushuan Wen

  • A chance constrained programming approach to transmission system expansion planning

    Ning Yang;Fushuan Wen

  • Day-Ahead Congestion Management in Distribution Systems Through Household Demand Response and Distribution Congestion Prices

    Weijia Liu;Qiuwei Wu;Fushuan Wen;Jacob Ostergaard

  • Probabilistic approach for fault-section estimation in power systems based on a refined genetic algorithm

    F.S. Wen;C.S. Chang

  • Decision-Making for Electricity Retailers: A Brief Survey

    Jiajia Yang;Junhua Zhao;Fengji Luo;Fushuan Wen

  • Strategic bidding for electricity supply in a day-ahead energy market

    F.S Wen;A.K David

  • Fault section estimation in power systems using a genetic algorithm

    Fushuan Wen;Zhenxiang Han

  • Optimal bidding strategies for competitive generators and large consumers

    Fushuan Wen;A.K. David

  • A Model of Customizing Electricity Retail Prices Based on Load Profile Clustering Analysis

    Jiajia Yang;Junhua Zhao;Fushuan Wen;Zhaoyang Dong

  • Cyber Physical Power Systems: Architecture,Implementation Techniques and Challenges

    J. Zhao;F. Wen;Y. Xue;X. Li

  • Market power in electricity supply

    Unknown

  • An Analytic Model for Fault Diagnosis in Power Systems Considering Malfunctions of Protective Relays and Circuit Breakers

    Wenxin Guo;Fushuan Wen;Gerard Ledwich;Zhiwei Liao

  • Transmission planning and investment under competitive electricity market environment

    A.K. David;Fushuan Wen

Frequent Co-Authors

Gerard Ledwich
Gerard Ledwich Queensland University of Technology
Junhua Zhao
Junhua Zhao Chinese University of Hong Kong, Shenzhen
Zhao Yang Dong
Zhao Yang Dong City University of Hong Kong
Chi Yung Chung
Chi Yung Chung Hong Kong Polytechnic University
Felix F. Wu
Felix F. Wu University of Hong Kong
Mohammad Shahidehpour
Mohammad Shahidehpour Illinois Institute of Technology
Kit Po Wong
Kit Po Wong University of Western Australia
Yan Xu
Yan Xu Nanyang Technological University
Zhao Xu
Zhao Xu Hong Kong Polytechnic University
Dipti Srinivasan
Dipti Srinivasan National University of Singapore

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