摘要
电力系统中长期负荷的变化常常不是只依靠电力系统本身的信息和资料就可以正确描述的，它受到该地区社会、经济等多方面因素的制约，可以利用模糊聚类法从经济发展的角度对中长期负荷进行预测。结合最佳聚类Ｆ选优法的应用，文章提出了一个改进的模糊聚类电力负荷中长期预测的新算法。应用该方法进行实例计算，并同其它３种算法进行比较，表明该方法的预测精度较高。
In general, the load variation of power system of a certain region in a middle\|or long\|period can not be correctly described by only using the information from power system itself, because it is restricted by many\|sided indefinite factors such as economic condition, management policy and so on. But using fuzzy clustering and from the viewpoint of development of economy it is possible to forecast the load in middle\|or long\|period. In this paper an improved fuzzy clustering based algorithm for middle\|or long\|period load forecasting is put forward in which the F selecting technique is combined. Comparison of the calculation results from this algorithm and other three algorithms shows that the result from this method is more accurate.
出处
《电网技术》
EI
CSCD
北大核心
2000年第1期36-38,共3页
Power System Technology
关键词
负荷中长期预测
F选优法
电力系统
模糊聚类算法
fuzzy clustering
middle\|or long\|term load forecasting
F selecting technique
