多级智能技术安全校核母线负荷预测系统优化设计

Optimization design of bus load forecasting system based on multilevel intelligent technology

针对母线负荷预测存在的不协调、偏差以及不平衡等问题,利用相关性分析方法针对母线负荷预测系统进行处理,处理完毕后将负荷历史序列以及母线负荷历史序列一同输入至智能预测模型中,通过该方式即可获得相应的母线负荷预测结果。为保证母线负荷预测系统功能的准确性,利用多级负荷智能协调方法赋予母线负荷曲线协调以及效果分析等功能,对于维护母线负荷的安全校核具有重要意义。将多级负荷智能协调方法应用于电力系统中,使电力生产可随着负荷对电能需求的不断变化而做出相应调整。有利于促进电力系统的稳定运行,实现提升电力系统整体经济效益的目的。

Aiming at the bus load forecasting deviation and unbalanced, uncoordinated and using the correlation analysis method for bus load forecasting system for processing, after processing will load history series, and bus load sequence input to intelligent prediction model, in this way can obtain the corresponding bus load forecasting results.In order to ensure the accuracy of bus load prediction system, multi-stage load intelligent coordination method is used to give bus load curve coordination and effect analysis functions, which is of great significance to maintain the safety check of bus load.The multi-stage load intelligent coordination method is applied to the power system so that the power production can be adjusted accordingly with the constant change of the power demand of the load.It is beneficial to promote the stable operation of the power system and realize the purpose of improving the overall economic benefit of the power system.