SIA OpenIR  > 沈阳自动化所知识产出(2000年前)
Thesis Advisor易允文
Call NumberTM714/Z74/1988
Degree Discipline系统理论及应用
Degree Name硕士
Degree Grantor中国科学院沈阳自动化研究所
Place of Conferral沈阳
Other AbstractThe weather variables have a strong impact on the actual value of power load. A practical method of forecast the next 24 hours' load which based on the weather variable is studied in this paper. Though analysing the character of two years load curve and summarizing the experiences of manual forecast, the author pointed out that the power load variation is cyclical and stochastic. An adptive algorithm which consider the effect of average weather temperature is proposed in the paper. The basic load model and weather load model are rasied in this paper. The 1986' s actual load values are used to model and forecast. As shown by the results, the relative erro is less than 4% and this accuracy is well fited for the economic dispatching. This method is speedy, precise, practical and can save man-hours than the manual method. The weather load model in this paper can also be used to consider the effect of humidity, brightness and wind speed. The calcualtion is finished on the HP-1000 computer, which belongs to Sheng Yang Insitvte of Automation.
Contribution Rank1
Document Type学位论文
Recommended Citation
GB/T 7714
周洪江. 大电网短期负荷预报模型及应用[D]. 沈阳. 中国科学院沈阳自动化研究所,1988.
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大电网短期负荷预报模型及应用.pdf(3460KB) 开放获取--Application Full Text
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