一个线性回归惩罚估计程序用于缓解在印度电网网络中采用的基于可用性的关税计划中的缺陷
Mohan V1, Amalore Naveen Antony B2, Chitrakala G3
1Department of Electrical and Electronics Engineering, E.G.S. Pillay Engineering College, Nagapattinam, Tamilnadu, India, 611002.
Scientific reports
|October 6, 2025
概括
本研究引入了修改后的惩罚预测模型,以优化电网网络之间的电力交换成本. 新模型使用线性回归来避免对电力运营商的不公平处罚,提高电网效率.
科学领域:
- 电气工程 电气工程
- 电力系统分析 分析 分析
背景情况:
- 预测电力交换成本对于有效的电网运行至关重要.
- 由于负载变化导致的电力交换失衡,电力运营商面临罚款.
- 现有的惩罚制度可能是不灵活和不公平的.
研究的目的:
- 开发一个修改后的惩罚预测模型,用于电网网络之间的电力交换.
- 优化电力运行条件并减轻电力运营商的处罚.
- 为了解决平衡罚款的缺点.
主要方法:
- 利用曲线拟合技术来分析功率指数.
- 包含多个变量,反映不同时间段的运行条件.
- 应用线性回归用于曲线重新排列和优化.
主要成果:
- 开发了一个基于序列功率指数的惩罚估计程序.
- 该模型提供了用于实施个人运营商处罚的指示功率指数.
- 通过线性回归,可以优化功率运行条件.
结论:
- 拟议的基于线性回归的惩罚指标计划为惩罚实施提供了更为动态和公平的方法.
- 这种方法避免了统一的惩罚结构的局限性.
- 优化的电力交换管理提高了整体电网效率.
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