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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A recurrent neural network for optimal real-time price in smart grid
TL;DR: Using nonsmooth analysis, the theory of differential inclusions and Lyapunov-like method, the equilibrium point of the proposed neural networks can converge to an optimal solution of optimal real-time price under certain conditions.
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Will electrical cyber–physical interdependent networks undergo first-order transition under random attacks?
TL;DR: The simulation results show that due to the service demands of power system the topologies of power grid and its cyber network are highly inter-similar which can effectively avoid the first-order transition.
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Robust Security Constrained-Optimal Power Flow Using Multiple Microgrids for Corrective Control of Power Systems Under Uncertainty
TL;DR: This paper proposes a new robust security-constrained optimal power flow (SCOPF) method to balance the economy.
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Optimal allocation of BESS and MT in a microgrid
TL;DR: This study presents a two-stage planning framework of the battery energy storage system (BESS) and micro-turbine (MT) in a microgrid and the linearity of the formulated optimisation problem is kept, and the backward scenario reduction method is adopted to further enhance the computational efficiency.
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Coordinated Multilayer Control for Energy Management of Grid-Connected AC Microgrids
TL;DR: A coordinated multilayer control strategy for the energy management (EM) of grid-connected ac microgrids that utilizes the PV power generations and the bidirectional energy transactions from electric vehicles and battery storage to provide a combined response for load support.