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Chen-Ching Liu
Researcher at Virginia Tech
Publications - 274
Citations - 14290
Chen-Ching Liu is an academic researcher from Virginia Tech. The author has contributed to research in topics: Electric power system & Electricity market. The author has an hindex of 57, co-authored 269 publications receiving 12126 citations. Previous affiliations of Chen-Ching Liu include Washington State University & Purdue University.
Papers
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Journal ArticleDOI
Financial Bilateral Contract Negotiation in Wholesale Electricity Markets Using Nash Bargaining Theory
TL;DR: In this paper, the authors analyzed a financial bilateral contract negotiation process between a generation company and a load-serving entity in a wholesale electric power market with congestion managed by locational marginal pricing.
Journal ArticleDOI
Improving Primary Frequency Response to Support Networked Microgrid Operations
Kevin P. Schneider,Nikitha Radhakrishnan,Yingying Tang,Francis K. Tuffner,Chen-Ching Liu,Jing Xie,Dan Ton +6 more
TL;DR: This paper will present a method of augmenting primary frequency controls to support the switching transients necessary for the operation of networked microgrids, without the need to over-size rotating machines.
Proceedings ArticleDOI
Toward a resilient distribution system
TL;DR: In this article, three important measures to enhance resiliency, i.e., utilization of micro-grids, distribution automation (DA), and vulnerability analysis, are discussed and a 4-feeder 1069-node test system with microgrids is simulated to demonstrate the feasibility of these measures.
Proceedings ArticleDOI
Cyber intrusion of wind farm SCADA system and its impact analysis
TL;DR: In this article, the authors studied the cyber security for the SCADA system of a wind farm by incorporating the impact on the power system dynamics and found that cyber attacks can cause major problems for a power system, including economy loss, overspeed of wind turbine, and equipment damage.
Journal ArticleDOI
The Healing Touch: Tools and Challenges for Smart Grid Restoration
TL;DR: In this article, the authors propose an adaptive and optimized strategy with which to make restoration decisions, one that will reduce restoration time while maintaining system integrity, enabling the streamlining of communication among all stakeholders, and preserving knowledge and experience for future engineers.