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Wei Tian
Researcher at Illinois Institute of Technology
Publications - 24
Citations - 1685
Wei Tian is an academic researcher from Illinois Institute of Technology. The author has contributed to research in topics: Electric power system & Microgrid. The author has an hindex of 15, co-authored 22 publications receiving 1175 citations. Previous affiliations of Wei Tian include North China Electric Power University & Electric Power University.
Papers
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Optimal Scheduling of an Isolated Microgrid With Battery Storage Considering Load and Renewable Generation Uncertainties
TL;DR: By modeling the uncertainty of spinning reserves provided by energy storage with probabilistic constraints, a new optimal scheduling mode is proposed in this paper for minimizing the operating costs of an isolated microgrid (MG) by using chance-constrained programming.
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Microgrid stability: Classification and a review
TL;DR: In this article, a Microgrid stability classification methodology is proposed on the basis of the of Microgrid characteristics investigation, which considers the Microgrid operation mode, types of disturbance and time frame.
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Chance-Constrained Day-Ahead Scheduling in Stochastic Power System Operation
TL;DR: In this article, a chance-constrained stochastic programming formulation with economic and reliability metrics is presented for the day-ahead scheduling, where reserve requirements and line flow limits are formulated as chance constraints in which power system reliability requirements are to be satisfied with a presumed level of high probability.
Journal ArticleDOI
Optimal Scheduling of an Isolated Microgrid with Battery Storage Considering Load and Renewable Generation Uncertainties
TL;DR: This paper proposes a new optimal scheduling mode for minimizing the operating costs of an isolated microgrid (MG) by using chance-constrained programming and significantly exceeds the commonly used hybrid intelligent algorithm with much better and more stable optimization results and significantly reduced calculation times.
Journal ArticleDOI
Stochastic Scheduling of Battery-Based Energy Storage Transportation System With the Penetration of Wind Power
TL;DR: In this article, a scenario-based stochastic model for the battery-based energy storage transportation (BEST) integrated power system scheduling is proposed, where load and wind energy forecasting inaccuracies and random disturbances are modeled in scenario trees using the Monte Carlo simulation method.