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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.

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Fitness assessment of document model

TL;DR: This work proposes a model fitness evaluation method to determine whether a model is sufficient to distinguish positive and negative instances while still competent to provide satisfactory effectiveness with a small feature subset, and demonstrates how the fitness of models are assessed.
Proceedings ArticleDOI

Aggregation of Electric Vehicles for Emergency Frequency Control of Two-Area Interconnected Grid

TL;DR: An aggregate of EVs is modeled as a virtual battery, considering the stochastic number of connected EVs and their initial State of Charge (SOC) and a control strategy is applied to the aggregate model, using Lyapunov energy function, to maximize the rate of reduction of total kinetic energy in a two-area network after a fault event.
Proceedings ArticleDOI

Distributed Gas-fired Generation and Battery Energy Storage Planning in a Thin Distribution System

TL;DR: This paper addresses the optimal allocation of ESS and gas-fired DG in a ‘thin’ distribution system and presents the financial benefits of this type of thin grid to each party: the housing developer, the customers, the network and the aggregator.
Journal Article

Non-deterministic analysis for transient stability based on transient stability domain and conditional probability

TL;DR: In this article, the transient stability domain (TSD) in continuous parameter space is estimated by using stability margin and its sensitivity analysis technologies, and the probability of the non-deterministic condition that is inside (or outside) the TSD is calculated by using the joint probability density function, namely the stability probability.
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Comparison of various solution techniques in dispatching coupled electricity-heat system with independent thermal energy storage

TL;DR: Simulation results reveal that appropriately selecting formulations of electric and heat networks can effectively improve the performance of solving the original MISOCP problem.