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Nan Li

Researcher at Arizona State University

Publications -  16
Citations -  398

Nan Li is an academic researcher from Arizona State University. The author has contributed to research in topics: Energy storage & Pumped-storage hydroelectricity. The author has an hindex of 7, co-authored 15 publications receiving 353 citations.

Papers
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Journal ArticleDOI

Economic Assessment of Energy Storage in Systems With High Levels of Renewable Resources

TL;DR: In this article, a stochastic unit commitment model with energy storage was presented to evaluate the short-term profitability of conventional generators and energy storage under different levels of renewable penetrations, and compared to identify the impact of increasing renewable penetration on the attractiveness of bulk energy storage in comparison to conventional generators.
Journal ArticleDOI

Flexible Operation of Batteries in Power System Scheduling With Renewable Energy

TL;DR: In this paper, a stochastic unit commitment approach with wind power forecast uncertainty and energy storage is proposed to evaluate the potential value of energy storage in power systems with renewable generation.
Proceedings ArticleDOI

Optimal generation investment planning: Pt. 1: network equivalents

TL;DR: In this paper, a modified-Ward equivalence scheme is proposed for the Eastern Interconnection (EI) to obtain several backbone equivalents and these equivalents are tested for accuracy under a range of operating conditions.
Journal ArticleDOI

Enhanced Pumped Hydro Storage Utilization Using Policy Functions

TL;DR: In this article, a policy function approach is proposed to enhance the utilization of pumped hydro storage in real-time operations, and the performance of the approach is evaluated and compared with other benchmark approaches using the IEEE RTS 24 bus system.
Proceedings ArticleDOI

Optimal generation investment planning: Pt. 2: Application to the ERCOT system

TL;DR: In this paper, a modified-Ward equivalence procedure has been proposed to obtain several backbone equivalents, the accuracy of which are tested under a range of operating conditions, which are used in a system planning tool to perform optimal generation investment studies with promising results observed.