Wei Gan

ORCID: 0000-0002-6431-1209
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About
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Research Areas
  • Smart Grid Energy Management
  • Electric Vehicles and Infrastructure
  • Integrated Energy Systems Optimization
  • Electric Power System Optimization
  • Microgrid Control and Optimization
  • Hybrid Renewable Energy Systems
  • Advanced Battery Technologies Research
  • Optimal Power Flow Distribution
  • Aluminum Alloy Microstructure Properties
  • Smart Grid Security and Resilience
  • Power System Reliability and Maintenance
  • Energy Load and Power Forecasting
  • Aluminum Alloys Composites Properties
  • Metal Forming Simulation Techniques
  • Metallurgy and Material Forming
  • Energy Harvesting in Wireless Networks
  • Infrastructure Resilience and Vulnerability Analysis
  • Advanced machining processes and optimization
  • Multilevel Inverters and Converters
  • Risk and Safety Analysis
  • Magnesium Alloys: Properties and Applications
  • Process Optimization and Integration
  • Smart Grid and Power Systems
  • Welding Techniques and Residual Stresses
  • Wireless Power Transfer Systems

Cardiff University
2022-2024

Huazhong University of Science and Technology
2019-2021

Zhejiang Industry Polytechnic College
2010-2020

Shanghai University of Electric Power
2014

Changzhou Institute of Technology
2012

Edison Welding Institute
2006-2008

The Ohio State University
2004

10.1016/j.ijmecsci.2004.06.006 article EN International Journal of Mechanical Sciences 2004-07-01

The interdependency of transportation and electric power networks is becoming tighter due to the proliferation vehicles (EVs), which introduces additional difficulties in planning two networks. This paper presents enhanced solution for coordinated multiple facilities networks, including lines, roads, energy storage systems fast charging stations. In order calculate optimal proposed problem, we introduce applications linear optimization theory Karush-Kuhn-Tucker conditions, big M method, a...

10.1109/tsg.2020.2989751 article EN IEEE Transactions on Smart Grid 2020-04-23

This paper presents a two-level transactive energy market framework, that enables trading among electric vehicle charging stations (EVCSs). At the lower level, discharging capability of EVs and on-site PV generation are leveraged by individual EVCS for participating in with their peers. Once lower-level is completed, EVCSs trade at upper level through power grid network managed distribution system operator (DSO). The upper-level cleared while satisfying constraints. A cooperative game-based...

10.1109/tsg.2021.3131959 article EN IEEE Transactions on Smart Grid 2021-12-01

Natural disasters which include major storms, floods, tornados, and hurricanes can seriously threaten the resilience of large coupled infrastructures such as electric power distribution transportation systems. This paper proposes a planning (i.e., investment + operation) method for enhancing The proposed includes capacity expansions lines, roads, charging stations, hardening roads lines. A tri-level problem is formulated to accommodate random natural disasters. model solved by applying...

10.1109/tpwrs.2021.3107402 article EN IEEE Transactions on Power Systems 2021-08-24

Due to the recent rapid developments in fast charging technology for electric vehicles (EVs), these flexible mobile storage resources can provide auxiliary services power grid emergency circumstances. Therefore, it is imperative develop a resilient enhancement planning scheme this coupled network under severe contingencies. To end, paper investigates novel robust infrastructure networks. The objective minimize both (i) investment and operation cost of uncertain traffic demands, (ii) EV...

10.1109/tsg.2024.3390657 article EN IEEE Transactions on Smart Grid 2024-01-01

The increasing penetration of electric vehicles (EVs) and natural gas-fueled (NGVs) has introduced higher potentials for strengthening the coordination transportation, gas, networks. This article proposes concept formulation a planning model hybrid energy supply stations (HESSes) to EVs NGVs. In addition, this coordinates three networks attaining operational flexibility lower investment cost HESS. proposed incorporates EV charging, NGV refueling, solar photovoltaic (PV) units, conversion...

10.1109/tsg.2020.3039493 article EN IEEE Transactions on Smart Grid 2020-11-20

The growing penetration of hydrogen vehicles and modern energy conversion technologies strengthen the coupling transportation networks. This article proposes a supply infrastructure planning model for integration renewable energy. To flexibly meet demand vehicles, proposed makes investment decisions various facilities, including pipelines, refueling stations, power to gas devices, generators. Besides, with pipeline method applied, network is constructed coordinated electricity multinetwork...

10.1109/tia.2021.3109558 article EN IEEE Transactions on Industry Applications 2021-09-03

Decentralized energy management can preserve the privacy of individual systems while mitigating computational and communication burdens. However, most decentralized methods are partially cannot ensure information exchange security. Therefore, this paper provides a secure fully by using blockchain. First, framework optimality condition decomposition (OCD) is provided, in which system operators only boundary with their peers rather than submitting proprietary to centralized operator. Then, an...

10.1016/j.apenergy.2023.120863 article EN cc-by Applied Energy 2023-03-08

In this paper, a distributed planning method for EV dynamic wireless charging system (DWCS) is proposed, which determines the locations and scales of DWCS to maximize economic effects while meeting demands. The Nesterov's model with multiple traffic patterns adopted in network (TN) solve assignment problem wave theory used analyze distribution road density. power (PN), effect connection modes on expansion cost lines considered. A mixed-integer linear programming (MILP) proposed coupled...

10.1109/tsg.2021.3063542 article EN IEEE Transactions on Smart Grid 2021-03-03

This paper presents a model predictive control method applied to single phase grid-connected inverter. The uses discrete-time of the system predict future value load current by using all possible voltage vectors generated vector which minimizes quality function is selected. Then, use switch state deduced select next output easy realize digitization and its physical distinct. It does not need adjust PI parameters can general utilization compared with traditional results show that effectively...

10.1109/appeec.2014.7066035 article EN 2014-12-01
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