The impact loads with no definite period in iron and steel enterprise seriously affect the power quality in the company power supply system and the working life of relevant equipment. Considering the special characteristics of impact loads and based on Sage-Husa adaptive filtering algorithm with estimator of time-variant variation noise, an improved Sage- Husa adaptive filtering algorithm is proposed in this paper. This new algorithm can estimate the system input noise variance and output noise variance correctly, and effectively improve forecasting accuracy. Meanwhile, the improved algorithm inherits the advantages of the original algorithm, with rapid computing speed and high storage capacity small. The new algorithm is perfectly suitable for online applications. The reactive power forecasting results of some substation buses in an iron and steel enterprise show that the high accuracy and rapid computing rate of the algorithm.
MU Li, LIU Yutian.
ULTRA-SHORT TIME REACTIVE LOAD FORECASTING ALGORITHM FOR DYNAMIC REACTIVE POWER COMPENSATION. Journal of Systems Science and Mathematical Sciences, 2012, 32(4): 429-437 https://doi.org/10.12341/jssms11862