A Novel Framework for Photovoltaic Energy Optimization Based on Supply-Demand Constraints

A research document proposes a framework for managing renewable energy and reducing energy storage investment constraints. The paper describes a bi-level game method for determining energy storage incentives and a master-slave approach for optimization. The document was authored by Yaoqiang Sun and last updated on 2026-05-25.

Use Cases

• Simulating energy storage pricing strategies based on the described bi-level game method.
• Optimizing photovoltaic energy dispatch in microgrids based on supply-demand constraints.
• Analyzing the economic impact of renewable energy variability on electricity consumers as discussed in the introduction.
• Evaluating master-slave game-based capacity optimization techniques for energy storage clusters.

Strengths

• The document is licensed under CC-BY-4.0, allowing for broad reuse and modification.
• The description provides a structured overview of the proposed framework's methodology and objectives.

Limitations

• The dataset is a 16.0 KB DOCX file, indicating a very small document likely containing only the paper text, not underlying simulation data.
• Row count and column-level documentation are absent, making it unsuitable for direct data analysis without manual inspection.
• The description metadata is limited; actual data quality and the presence of structured data require manual verification after download.

Provenance

Source

figshare, authored by Yaoqiang Sun.

Collection Method

Likely a research paper or document describing a simulation framework.

Freshness

Last updated 2026-05-25 08:51:36; freshness should be verified.