| 孔月萍,陈宇沁,王国际,刘述波,王 蝶.计及不确定性新能源消纳的海量分布式灵活资源虚拟电厂调控策略[J].电力需求侧管理,2025,27(6):45-50 |
| 计及不确定性新能源消纳的海量分布式灵活资源虚拟电厂调控策略 |
| Massive distributed flexible resource virtual power plant control strategy considering uncertain new energy consumption |
| 投稿时间：2025-06-28 修订日期：2025-08-30 |
| DOI：10. 3969 / j. issn. 1009-1831. 2025. 06. 007 |
| 中文关键词: 虚拟电厂 可再生能源 新能源消纳 优化调度策略 海量分布式灵活资源 Transformer 序列预测 |
| 英文关键词: virtual power plant renewable energy new energy consumption optimized scheduling strategy massive distributed flexible resources Transformer sequence prediction |
| 基金项目:国网江苏省电力有限公司科技项目（SGJSYF00LJS2310243） |
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| 中文摘要: |
| 新能源并网加剧了电力系统调峰压力，海量分布式灵活资源对虚拟电厂规划与调控至关重要。研究提出一种面向新能源不确定性的虚拟电厂模型：通过改进Transformer方法预测新能源出力，设计分布式资源聚合方案，并据此制定兼顾安全性与经济性的调控策略。基于地区真实数据与电网拓扑的验证表明，该方案有效支撑了新能源消纳与系统稳定运行。 |
| 英文摘要: |
| The peak sharing pressure on power systems is intensified by the integration of renewable energy, making massuve distributed flexible resources regarded as crucial for virtual power plant（VPP）planning and operation. A VPP model addressing renewable energy uncertainty is proposed：an improved Transformer method forecasts renewable output, a distributed resource aggregation scheme is designed, and a corresponding control strategy balancing security and economy is developed. Validation using real regional data and grid topology is used to confirm that the scheme effectively supports renewable energy utilization and system stability. |
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