Z
Zhao Yang Dong
Researcher at University of New South Wales
Publications - 930
Citations - 33916
Zhao Yang Dong is an academic researcher from University of New South Wales. The author has contributed to research in topics: Electric power system & Electricity market. The author has an hindex of 77, co-authored 872 publications receiving 23835 citations. Previous affiliations of Zhao Yang Dong include University of Newcastle & University of Queensland.
Papers
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Journal ArticleDOI
Resilient Distributed Multiagent Control for AC Microgrid Networks Subject to Disturbances
TL;DR: The proposed multiagent control scheme is composed of three distributed consensus protocols, which is able to synchronize the output voltages and frequencies of inverter-based DERs to their reference values and achieve the optimal active power-sharing property by a low bandwidth communication network with noise and time-delay disturbances in almost sure convergence.
Journal ArticleDOI
Vehicle to grid connected technologies and charging strategies: Operation, control, issues and recommendations
M. A. Hannan,Mohammad Sazib Mollik,Ali Q. Al-Shetwi,S.A. Rahman,Muhd Ariffin Mansor,Rawshan Ara Begum,Kashem M. Muttaqi,Zhao Yang Dong +7 more
TL;DR: In this paper , the authors discuss and investigate the opportunities, challenges, and technologies of EVs in a V2G connecting system and provide potential recommendations for future research directions to solve the existing research gaps and issues.
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Small Fault Detection for a Class of Closed-Loop Systems via Deterministic Learning
TL;DR: In this paper, based on the deterministic learning (DL) theory, an approach for detection for small faults in a class of nonlinear closed-loop systems is proposed, and it is shown that the major fault information is compensated by the control, and the major faults information is double in the enhanced residual.
Journal ArticleDOI
A Developed Integrated Scheme Based Approach for Wind Turbine Intelligent Control
TL;DR: In this paper, a developed integrated intelligent automatic control system is proposed to increase the extracting energy as well as to improve the power system performance by decomposing and grouping the sensing wind speed time series via a high-accuracy anemometer into components of reduced-order complexity using the complete ensemble empirical mode decomposition with adaptive noise and approximate entropy techniques.
Proceedings ArticleDOI
LoRa-Hybrid: A LoRaWAN Based Multihop Solution for Regional Microgrid
TL;DR: A novel architecture is presented by utilizing LoRaWAN MAC (media Access control) layer and application layer to overcome obstructions, such as buildings and hills, extending radio coverage.