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Ershun Du

Researcher at Tsinghua University

Publications -  61
Citations -  1568

Ershun Du is an academic researcher from Tsinghua University. The author has contributed to research in topics: Renewable energy & Electric power system. The author has an hindex of 14, co-authored 46 publications receiving 699 citations.

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The Role of Concentrating Solar Power Toward High Renewable Energy Penetrated Power Systems

TL;DR: In this paper, the authors explore how the generation portfolio will change toward high renewable energy penetrations, how much cost is involved, and what role concentrating solar power (CSP) will play in realizing a high-renewable energy penetrated power system.
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Probabilistic duck curve in high PV penetration power system: Concept, modeling, and empirical analysis in China

TL;DR: The results of flexible resource planning indicate that retrofitting coal-fired units has remarkable performance on enhancing the power system flexibility in Qinghai and an empirical study on the Qinghai provincial power system of China validates the effectiveness of the presented method.
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Incentivizing distributed energy resource aggregation in energy and capacity markets: An energy sharing scheme and mechanism design

TL;DR: A novel energy sharing scheme, in which an aggregator takes advantage of users’ shared DERs for peak shaving and load balance, is proposed, based on an energy and capacity market framework and an asymmetric Nash bargaining model is formulated.
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Modeling Frequency Dynamics in Unit Commitment With a High Share of Renewable Energy

TL;DR: The concept of frequency security margin is proposed to quantify the system frequency regulation ability under contingency as the maximum power imbalance that the system can tolerate while keeping frequency within the tolerable frequency range.
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Optimal joint-dispatch of energy and reserve for CCHP-based microgrids

TL;DR: In this paper, an optimal joint-dispatch scheme of energy and reserve is proposed for combined cooling, heating and power (CCHP)-based microgrids, where the total operation cost of the MG is minimized under pre-defined reserve requirements.