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.
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Journal Article
A review of wide area measurement system and wide area control system
TL;DR: In this article, a wide area monitoring, alerting and control system (WAMACS) is proposed and the system structure, key techniques and application areas of wide area measurement system and wide area control system are reviewed.
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Expansion co-planning for shale gas integration in a combined energy market
TL;DR: In this paper, the authors proposed a reliability assessment approach that is applicable for the coupled gas and electricity networks, which is formulated as a mixed integer nonlinear programming problem so as to minimize investments and enhance the reliability of the overall system.
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Multi-Cuts Outer Approximation Method for Unit Commitment
TL;DR: In this paper, a deterministic global optimization method for unit commitment (UC) problem based on outer approximation method (OAM) is introduced, which decomposes the UC problem into a mixed integer linear programming (MILP) master problem and several nonlinear programming (NLP) subproblems, whereas only one NLP in classic OAM.
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Fast computation of the maximum wind penetration based on frequency response in small isolated power systems
TL;DR: In this paper, the frequency deviation and stability analysis of a small isolated power system in response to various load levels and demand penetration of unit generators is investigated, and an optimal generation unit commitment strategy is presented in terms of system operation and expansion.
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A fast dual proximal-gradient method for separable convex optimization with linear coupled constraints
TL;DR: A fast dual proximal-gradient method based on Nesterov’s smoothing technique and a fast gradient scheme is presented to solve a class of separable convex optimization problems with linear coupled constraints arising in many applications.