工业微电网中的多类型可调节工业负载的分类建模和前一天最佳调度,使用改进的近似动态编程
Tao Sun1, Ping Yang2, Yingxuan Sun2
1South China University of Technology, Electric Power College, Guangzhou, 510640, China. 202310182841@mail.scut.edu.cn.
Scientific reports
|November 21, 2025
概括
本研究介绍了可调节工业负载 (IL) 的精确模型,以提高智能电网的稳定性. 改进的近似动态编程算法优化了调度,减少了调节错误,并通过可再生能源提高了电网性能.
科学领域:
- 电气工程 电气工程
- 智能电网技术 智能电网技术
- 控制系统 控制系统
背景情况:
- 工业负载 (IL) 对于智能电网的稳定性至关重要,特别是在高可再生能源集成的情况下.
- 现有的IL模型往往过于简单,忽视过渡过程和参数变化,导致严重的调节错误.
- 精确的可控制工业负载建模对于有效的电网管理和需求侧响应至关重要.
研究的目的:
- 为可调节的工业负载开发精确的调节响应模型,考虑其生产特征和短暂过程.
- 提出一个改进的近似动态编程 (IADP) 算法,以实现工业负载的最佳前一天排程.
- 提高智能电网中的工业负载调节的准确性和精度.
主要方法:
- 开发了三种类型的可调的工业负载模型:连续可调,离散参数固定可调,离散参数变量可调.
- 实施了改进的近似动态编程 (IADP) 算法,将值函数近似转换为数值合适方法.
- 根据开发的模型和IADP算法,推导出一天前最佳调度策略.
主要成果:
- 拟议的模型准确地捕捉了可调节的工业负载的短暂过程和参数变化.
- IADP算法有效地推导出一天前的最佳调度策略,优于传统方法.
- 案例研究表明,拟议方法在减少监管错误和满足精度要求方面具有优越性.
结论:
- 精确的工业负载建模,包括过渡动态,对于有效的智能电网运行至关重要.
- 开发的可调节的工业负载模型和IADP算法为最佳调度提供了一个强大的框架.
- 拟议的方法显著提高了工业负载的能力,以支持电网稳定性和可再生能源整合.
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