J
Jianhui Wang
Researcher at Southern Methodist University
Publications - 177
Citations - 8839
Jianhui Wang is an academic researcher from Southern Methodist University. The author has contributed to research in topics: Electric power system & AC power. The author has an hindex of 41, co-authored 175 publications receiving 4835 citations. Previous affiliations of Jianhui Wang include Argonne National Laboratory & University of Texas at San Antonio.
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Proceedings ArticleDOI
Blockchain-Assisted Crowdsourced Energy Systems
TL;DR: In this paper, a framework for crowdsourced energy systems (CES), where small-scale energy generation or energy trading is crowdsourced from distributed energy resources, electric vehicles, and shapable loads, is presented.
Journal ArticleDOI
Global Approximation of Static Voltage Stability Region Boundaries Considering Generator Reactive Power Limits
TL;DR: This paper proposes an approach for globally approximating the whole SVSRB considering generator reactive power limits at one go using the Galerkin method to the parametric KKT conditions in an interior-point-method-like manner.
Journal ArticleDOI
Generalized Master–Slave-Splitting Method and Application to Transmission–Distribution Coordinated Energy Management
TL;DR: In this article, a generalized master-slave-splitting (G-MSS) method is proposed to solve a series of central functions of transmission-distribution coordinated energy management (TDCEM), such as power flow, contingency analysis, voltage stability assessment, economic dispatch, and optimal power flow.
Journal ArticleDOI
Vehicle to Grid Frequency Regulation Capacity Optimal Scheduling for Battery Swapping Station Using Deep Q-Network
TL;DR: A novel deep Q-learning-based FFRS capacity dynamic scheduling strategy that can autonomously schedule the hourly regulation capacity in real time to maximize the BSS's revenue for providing FFRS.
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A low-carbon economic dispatch model incorporated with consumption-side emission penalty scheme
TL;DR: In this paper, a consumption-side carbon emission penalty scheme was proposed, where consumers were penalized based on their individual carbon emission responsibilities and penalty rates, and the consumers' differentiated penalty rates used in the LCED model were determined based on a two-level optimization model.