Wei Dong

ORCID: 0000-0003-1119-8369
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About
Contact & Profiles
Research Areas
  • Microgrid Control and Optimization
  • Smart Grid Energy Management
  • Hybrid Renewable Energy Systems
  • Integrated Energy Systems Optimization
  • Energy Load and Power Forecasting
  • HVDC Systems and Fault Protection
  • Optimal Power Flow Distribution
  • Power Systems and Renewable Energy
  • Islanding Detection in Power Systems
  • Supercapacitor Materials and Fabrication
  • Nanomaterials for catalytic reactions
  • Catalysis and Hydrodesulfurization Studies
  • Electric Vehicles and Infrastructure
  • Smart Grid Security and Resilience
  • Distributed and Parallel Computing Systems
  • Antenna Design and Optimization
  • Electric Power System Optimization
  • Wind Energy Research and Development
  • Vehicle emissions and performance
  • Antenna Design and Analysis
  • Solar Radiation and Photovoltaics
  • Advanced Battery Technologies Research
  • Radar Systems and Signal Processing
  • Advanced Computing and Algorithms
  • Electricity Theft Detection Techniques

Hangzhou Dianzi University
2022-2024

Liaoning Technical University
2022-2023

Zhejiang University
2011-2023

Shanghai Electric (China)
2022

Zhejiang Lab
2019-2021

Alibaba Group (China)
2021

China University of Geosciences
2014-2015

South China University of Technology
2010-2011

The increasing penetration of renewable energy resources, such as wind and solar, is changing AC grid dynamics. Potential dynamic stability issues small signal instability may occur when these resources are connected to a with low strength, i.e., weak grid. In this paper, the relationships between strength measured short circuit ratio (SCR), along boundary critical SCR (CSCR) analytically studied in single-infeed power electronic system (SIPES). On basis, extended multi-infeed (MIPES)...

10.1109/tpwrs.2018.2875305 article EN IEEE Transactions on Power Systems 2018-10-10

The paradigm of the Internet Things (IoT) and cloud-edge computing plays a significant role in future smart grids. data-driven solution integrating artificial intelligence functionalities brings novel methods to address nontrivial task economic dispatch microgrids presence uncertainties renewable generations loads. This article proposes learning-based decision-making framework for energy an islanding microgrid based on architecture. Cloud resources are utilized solve optimal decision...

10.1109/jiot.2021.3067951 article EN IEEE Internet of Things Journal 2021-03-22

Small-signal instability of grid-connected power converters may arise when the use phase-locked loops (PLLs) to synchronize with a weak grid, i.e., operating in grid-following mode. Commonly, this stability problem (referred as PLL-synchronization paper) was studied by employing single-converter system connected an infinite bus, which, however, omits impacts grid structure and interactions among multiple converters. Motivated this, we investigate how affects multi-converter systems....

10.1016/j.ifacol.2022.07.270 article EN IFAC-PapersOnLine 2022-01-01

Internet of Things (IoT) technology provides the necessary foundation and support for smart city water management. To address challenge river pollution prevention flood control requirements in urban system, this article proposes a data-driven model to carry out optimal operation scheduling diversion drainage pumping stations presence complex hydrometeorological constraints. The proposed solution predictive (MPC) framework first adopts long short-term memory (LSTM) network through supervised...

10.1109/jiot.2019.2963250 article EN IEEE Internet of Things Journal 2019-12-31

Accurate generation prediction at multiple time-steps is of paramount importance for reliable and economical operation wind farms. This study proposed a novel algorithmic solution using various forms machine learning techniques in hybrid manner, including phase space reconstruction (PSR), input variable selection (IVS), K-means clustering adaptive neuro-fuzzy inference system (ANFIS). The PSR technique transforms the historical time series into set phase-space variables combining with...

10.3390/en11081975 article EN cc-by Energies 2018-07-30

Non-intrusive Load Monitoring is a technology that can identify the users' internal energy consumption by using data measured at single point on bus and event detection key technical problem need to be solved. An algorithm combining probability expert heuristic models proposed for in this study, including an pre-detection sub-algorithm called Voting Improved Isolated Forest high-sensitivity events verification Time Shift Downsampling Matching high-accuracy verification. used detect...

10.1109/tim.2022.3181897 article EN IEEE Transactions on Instrumentation and Measurement 2022-01-01

The output impedance matrix of a grid-connected converter plays an important role in analyzing system stability. Due to the dynamics DC-link control and phase locked loop (PLL), matrices grid are difficult be diagonally decoupled simultaneously, neither dq domain nor domain. It weakens effectiveness impedance-based stability criterion (ISC) oscillation analysis. To this end, paper innovatively proposes generalized-impedance based (GISC) reduce dimension transfer function simplify...

10.48550/arxiv.1706.05625 preprint EN other-oa arXiv (Cornell University) 2017-01-01

We introduce Mosaic, a mobile sensor network system for city scale sensing. Currently, we focus on accurate PM2.5 measurements. design and implement low-cost smart sensors this purpose. Those are specifically designed moving vehicles such as buses taxies. The sensing capability of our enables wide coverage with modest number sensors. incorporate three-layer architecture in Mosaic. Mosaic faces many practical challenges which need to be properly addressed, e.g., reliable node hardware...

10.1109/icpads.2015.12 article EN 2015-12-01
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