Research on No-baseline Effect Assessment Method based on Virtual Power Plant Response

Abstract A virtual power plant (VPP) aggregates various dispersed resources in the distribution network into a unified whole, enhancing the global responsiveness of the aggregated resources. Additionally, it can participate in power market transactions as a whole, improving the dispatchability of resources and operational economy. In this paper, we develop an evaluation model for VPP responsiveness that leverages the absolute response volume of the VPP. Four key indicators are introduced—response volume, response accuracy, load tracking, and power stability—to provide a comprehensive assessment of the system’s performance. Building upon these indicators, we propose an overall responsiveness evaluation method and employ an entropy-weighting approach to calculate a final responsiveness score. Finally, through a 24-hour case study, we derive the VPP’s response capability curve and corresponding scores.

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Publication Details

Journal
Journal of Physics Conference Series
Published
2025-08-01
DOI
https://doi.org/10.1088/1742-6596/3074/1/012016
Primary Topic
Smart Grid and Power Systems
Type
article
Field-Weighted Citation Impact
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article

Research on No-baseline Effect Assessment Method based on Virtual Power Plant Response

Xiaoli Wang, Liang Yin, Fang Wang, Ciwei Gao
Journal of Physics Conference Series
Smart Grid and Power Systems
article

Research on No-baseline Effect Assessment Method based on Virtual Power Plant Response

Xiaoli Wang, Liang Yin, Fang Wang, Ciwei Gao
article en

Abstract

Abstract A virtual power plant (VPP) aggregates various dispersed resources in the distribution network into a unified whole, enhancing the global responsiveness of the aggregated resources. Additionally, it can participate in power market transactions as a whole, improving the dispatchability of resources and operational economy. In this paper, we develop an evaluation model for VPP responsiveness that leverages the absolute response volume of the VPP. Four key indicators are introduced—response volume, response accuracy, load tracking, and power stability—to provide a comprehensive assessment of the system’s performance. Building upon these indicators, we propose an overall responsiveness evaluation method and employ an entropy-weighting approach to calculate a final responsiveness score. Finally, through a 24-hour case study, we derive the VPP’s response capability curve and corresponding scores.

Journal of Physics Conference SeriesVol. 3074(1)
Ningxia Water Conservancy (CN), Southeast University (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 81%
Smart Grid and Power Systems
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