摘要
综合考虑电网条件、生产和气象变化因数,计算电力短期负荷参数内存在的关联,以提高对负荷预测准确程度,提出一种基于T-S模糊模型的电力短期不平衡负荷预测方法研究。预处理和格式化历史负荷数据,去除误差数据。仿真结果表明,所提方法有较高的预测准确度,有利于保障电网运行的安全性、稳定性和高效性。
Comprehensive consideration of power grid conditions,production and meteorological change factors,it calculates the correlation existing in the short-term power load parameters to improve the accuracy of load forecasting,and propose a short-term unbalanced power load forecasting method based on the T-S fuzzy model.The simulation results show that the proposed method has higher prediction accuracy,which is conducive to ensuring the safety,stability and efficiency of power grid operation.
作者
王骏海
李玮
WANG Jun-hai;LI Wei(State Grid Hangzhou Power Supply Company,Hangzhou 310020 China;State Grid Wuhan Power Supply Company,Wuhan 430014 China)
出处
《自动化技术与应用》
2022年第3期30-34,共5页
Techniques of Automation and Applications
基金
国网浙江省电力有限公司科技项目(5211HZ1800P0)。
