Credible capacity forming of a VPP with wind, solar, and storage resources

Chaojie Li; Shijin Tian; Jiang Dai; Siran Peng; Silin Zhu; Youquan Jiang; Ruyue Guo

doi:10.1049/enc2.70015

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Credible capacity forming of a VPP with wind, solar, and storage resources

更新时间：2026-03-24

- Credible capacity forming of a VPP with wind, solar, and storage resources
- Energy Conversion and Economics Vol. 6, Issue 4, (2025)
- 作者机构：
  
  1. Electric Power Research Institute of Guizhou Power Grid Co., Ltd,Guiyang,China
  2. Contribution: Formal analysis, Writing - original draft, Writing - review & editing
  3. Electric Power Dispatching Control Center of Guizhou Power Grid,Guiyang,China
  4. Contribution: Software
  5. Contribution: Data curation
  6. Contribution: Resources
  7. Contribution: Supervision
- 作者简介：
- 基金信息：
- DOI：10.1049/enc2.70015
  CLC：
- Published：2025
- 稿件说明：
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Chaojie Li, Shijin Tian, Jiang Dai, et al. Credible capacity forming of a VPP with wind, solar, and storage resources[J]. Energy Conversion and Economics, 2025, 6(4).
DOI：

Chaojie Li, Shijin Tian, Jiang Dai, et al. Credible capacity forming of a VPP with wind, solar, and storage resources[J]. Energy Conversion and Economics, 2025, 6(4). DOI： 10.1049/enc2.70015.

摘要

Abstract

The credible capacity formation is a critical task in the design of a virtual power plant (VPP) and serves as the foundation for maintaining stability between the VPP and the power grid. In this study

an optimal configuration method for distributed generations (DGs) for units within a VPP is proposed

based on the concept of credible capacity. The expected energy not served (EENS) is used as the system reliability index to evaluate the credible capacity of the VPP. To optimize the benefit function of cooperative operation between the VPP and the power grid

cooperative game theory is applied to configure the capacities of the VPP's DG resources—namely

wind

solar

and storage units. Multiple scenarios of EENS and credible capacity were analysed to validate the effectiveness of the proposed approach. The results demonstrate that the method can successfully achieve credible capacity for a VPP by optimally configuring the capacities of individual DG units.

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Related Institution

College of Electrical Engineering, Zhejiang University

Contribution: Methodology, Validation, Visualization, Writing - original draft, Writing - review & editing

Contribution: Investigation, Methodology, Validation

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Contribution: Funding acquisition, Resources

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