摘要
提出了一种新的电力系统潮流确定策略。该策略不依赖于任何数学解析方法，而是完全基于潮流历史数据，因此可避免在常规的解析法潮流计算中由于模型及参数的不准确所造成的计算误差，提高了潮流确定的准确度。该方法中灵敏度分析的应用可提高结果的精度，利用最小二乘法可消除随机干扰的影响，而人工神经网络的应用可保证算法的快速性。
A novel strategy to determine power system load flow is proposed. In this method which based on operating pattern theory, the pattern recognition technique is used to determine the load flow and the sensitivity analysis technique is used to modify the load flow results, both using the historical load flow data. Because the mathematical model of each component in power system is not used in the proposed method, the calculating errors, caused by the inaccuracy of the models and the parameters of these models, can be averted. The least square method is used to eliminate the effect of the random disturbance. Test systems' simulation demonstrate the procedure of the proposed method and the results show the high accuracy.
出处
《中国电机工程学报》
EI
CSCD
北大核心
2000年第1期23-28,共6页
Proceedings of the CSEE
基金
东北电力总公司青年促进费资助!(98220200002229)
关键词
电力系统
潮流计算
历史数据
人工神经网络
load flow
pattern recognition
sensitivity analysis
historical data
least square method
