电源技术2018，Vol.42Issue(3)：438-441,4.
智能配电网超短期负荷状态估计模型的改进
Improvement of ultra short-term load state estimation model of intelligent distribution network
牛文楠 1鲍鹏飞 1邓琨 2魏恩伟2
作者信息
- 1. 深圳供电局有限公司,广东深圳518048
- 2. 深圳市康拓普信息技术有限公司,广东深圳518034
- 折叠
摘要
Abstract
Due to the low accuracy of online real-time measurement of traditional load state estimation method for power grid in super short term cycle,an improved ultra short-term load state estimation model of intelligent power distribution network was proposed,which fed back the collected data to the data acquisition server.The parallel hierarchical estimation method was adopted in the distribution network to solve the small period problem of ultra short-term real-time forecasting node.The ultra short-term load forecasting results of each layer were integrated and the estimated value of the overall distribution network short-term load was obtained.The estimated value was fed back to the upper monitor to improve the efficiency of state estimation.The experiment result shows that the designed ultra short-term load forecasting model has higher precision and efficiency.关键词
超短期负荷预测/智能配电网/状态估计Key words
ultra short-term load forecasting/intelligent distribution network/state estimation分类
信息技术与安全科学引用本文复制引用
牛文楠,鲍鹏飞,邓琨,魏恩伟..智能配电网超短期负荷状态估计模型的改进[J].电源技术,2018,42(3):438-441,4.
