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June 20, 2026IET Renewable Power GenerationOpen Access

Multi‐Objective Optimal Scheduling Strategy for Virtual Power Plant Considering Temporal Coupling Characteristics of Resources

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Authors

YPYang PingQCQu ChenNCNianhao Chen

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Overview

Randomized trial evaluates a new scheduling strategy for energy resources, suggesting enhanced efficiency in VPPs.

Key Points

  • This research aims to enhance the scheduling processes in virtual power plants by addressing the temporal coupling of resources and balancing multiple objectives.
  • Proposed a two-stage multi-objective optimal scheduling strategy
  • Established a multi-objective optimization model in the day-ahead stage
  • Utilized a spectral decomposition method to identify key regulation intervals for energy storage.
  • Proposed strategy improved renewable energy consumption and carbon reduction
  • Demonstrated superior energy storage regulation during critical demand response periods
  • Optimized operational revenue versus computational burden compared to traditional methods.

Cite This Study

Ping et al. (2026) studied this question.

synapsesocial.com/papers/6a3631a1db0793dc1a538666https://doi.org/10.1049/rpg2.70293
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