Research on the Demand Response Characteristics and Scale Development of Virtual Power Plants

As an important measure to promote the consumption of renewable energy, optimize the dispatching operation and maintain the safe and stable operation of the power system, the key of virtual power plant is how to achieve dynamic aggregation, coordinated control and effective incentive of various resources to promote its large-scale development. Therefore, relying on the advantages provided by the soft science research platform of China Huaneng Group Co., Ltd.’s(China Huaneng Group), Huaneng Shandong Power Generation Co., Ltd (Huaneng Shandong) has carried out in-depth research on the topic of "The Demand Response Characteristics and Scale Development of Virtual Power Plants". Combined with the situation of distributed energy and planned power resources in the region, this paper studies the aggregation algorithm and the evaluation method of aggregate response capability to maximize the benefits, constructs the load response model, and puts forward the measures to predict and control large-scale distributed energy. The research results are being applied and practiced in the intelligent control system of virtual power plant of Huaneng Shandong.

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Publication Details

Published
2024-11-01
DOI
https://doi.org/10.1109/icei63732.2024.10917227
Primary Topic
Power Systems and Renewable Energy
Type
article
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Research on the Demand Response Characteristics and Scale Development of Virtual Power Plants

Tao Huang, Wenqiang Yang, Gang‐Ding Peng, You Xie et al.
Power Systems and Renewable Energy
article

Research on the Demand Response Characteristics and Scale Development of Virtual Power Plants

Tao Huang, Wenqiang Yang, Gang‐Ding Peng, You Xie, Jie Li, Peng Jiang
article en

Abstract

As an important measure to promote the consumption of renewable energy, optimize the dispatching operation and maintain the safe and stable operation of the power system, the key of virtual power plant is how to achieve dynamic aggregation, coordinated control and effective incentive of various resources to promote its large-scale development. Therefore, relying on the advantages provided by the soft science research platform of China Huaneng Group Co., Ltd.’s(China Huaneng Group), Huaneng Shandong Power Generation Co., Ltd (Huaneng Shandong) has carried out in-depth research on the topic of "The Demand Response Characteristics and Scale Development of Virtual Power Plants". Combined with the situation of distributed energy and planned power resources in the region, this paper studies the aggregation algorithm and the evaluation method of aggregate response capability to maximize the benefits, constructs the load response model, and puts forward the measures to predict and control large-scale distributed energy. The research results are being applied and practiced in the intelligent control system of virtual power plant of Huaneng Shandong.

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