C
Chengshan Wang
Researcher at Tianjin University
Publications - 281
Citations - 8535
Chengshan Wang is an academic researcher from Tianjin University. The author has contributed to research in topics: Microgrid & AC power. The author has an hindex of 43, co-authored 247 publications receiving 5545 citations. Previous affiliations of Chengshan Wang include Chinese Ministry of Education & State Grid Corporation of China.
Papers
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A Spatial–Temporal model for grid impact analysis of plug-in electric vehicles ☆
TL;DR: In this article, a spatial-temporal model (STM) is developed to evaluate the impact of large scale deployment of plug-in electric vehicles (EVs) on urban distribution networks.
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Distribution Locational Marginal Pricing (DLMP) for Congestion Management and Voltage Support
TL;DR: In this paper, a day-ahead market-clearing model for smart distribution systems is proposed, through which the distribution locational marginal pricing (DLMPs) for both active power and reactive power are determined.
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Coordinated Control Method of Voltage and Reactive Power for Active Distribution Networks Based on Soft Open Point
TL;DR: In this article, a coordinated voltage regulation method based on soft open point (SOP) was proposed for active distribution networks (ADNs) to minimize operation costs and eliminate voltage violations of ADNs.
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Decentralized Sliding Mode Load Frequency Control for Multi-Area Power Systems
TL;DR: Based on the decentralized sliding mode control, a load frequency controller is designed in this article for multi-area interconnected power systems with matching and unmatched uncertainties, and a proportional and integral switching surface is constructed for each area to improve system dynamic performance in reaching intervals.
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Benefits analysis of Soft Open Points for electrical distribution network operation
TL;DR: In this paper, a steady state analysis framework was developed to quantify the operational benefits of a distribution network with SOPs under normal network operating conditions, and a generic power injection model was developed and used to determine the optimal SOP operation using an improved Powell's Direct Set method.