Y
Yue Zhao
Researcher at Stony Brook University
Publications - 66
Citations - 876
Yue Zhao is an academic researcher from Stony Brook University. The author has contributed to research in topics: Convex optimization & Demand response. The author has an hindex of 15, co-authored 66 publications receiving 744 citations. Previous affiliations of Yue Zhao include Princeton University & University of California, Los Angeles.
Papers
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Proceedings ArticleDOI
On PMU location selection for line outage detection in wide-area transmission networks
TL;DR: Using this algorithm, the optimal tradeoff between the number of PMUs and the outage detection performance is characterized for IEEE 14, 24 and 30 bus systems.
Journal ArticleDOI
Identification of Outages in Power Systems With Uncertain States and Optimal Sensor Locations
TL;DR: Efficiently computable performance metrics that capture the probability of error of the optimal detector are developed and performance with greedily selected sensor locations is shown to be very close to that with globally optimal sensor locations.
Journal ArticleDOI
Wind Aggregation Via Risky Power Markets
TL;DR: In this article, a two-settlement market with both the risky power contract and a conventional firm power contract is shown to have a unique competitive equilibrium characterized in closed form, where the marginal contribution and diversity contribution of each WPP to the group of all WPPs are fairly reflected in the profit earned by this WPP at the CE.
Journal ArticleDOI
Outage Detection Using Load and Line Flow Measurements in Power Distribution Systems
TL;DR: In this paper, an outage detection framework for power distribution networks is proposed, which combines the use of real-time power flow measurements on the edges of the tree with load forecasts at the nodes in the tree.
Proceedings ArticleDOI
Outage detection in power distribution networks with optimally-deployed power flow sensors
TL;DR: An outage detection framework for power distribution networks is proposed, which combines the use of optimally deployed real-time power flow sensors and that of load estimates via Advanced Metering Infrastructure (AMI) or load forecasting mechanisms.