基于人工神经网络的电力系统负荷预测与优化调度方法研究  

Research on Load Forecasting and Optimization Scheduling Methods for Power Systems Based on Artificial Neural Networks

作　　者：朱斌 周新宸 ZHU Bin;ZHOU Xinchen(Nanrui Group Co.,Ltd.,Nanjing,Jiangsu 211106,China)

机构地区：[1]南瑞集团有限公司,江苏南京211106

出　　处：《自动化应用》2024年第S02期89-91,共3页Automation Application

摘　　要：社会经济与民生建设发展对电力能源的需求量显著增加,如何更好地满足社会生产生活需要是当前电力系统运行中重点研究的课题。研究发现,由于电力生产与使用具有不能存储的特殊性,这要求电力系统发电时刻紧跟系统负荷变化保持动态平衡,才能保障供电稳定性和安全性。负荷预测与优化调度是保障电力系统稳定性的关键,在人工神经网络的支持下能显著提高预测和调度有效性,积极作用显著。The demand for electricity energy has significantly increased due to the development of social economy and livelihood construction.How to better meet the needs of social production and life is a key research topic in the current operation of the power system.Research has found that due to the special nature of electricity production and use that cannot be stored,it is necessary for the power system to maintain dynamic balance in response to changes in system load at all times in order to ensure power supply stability and safety.Load forecasting and optimization scheduling are key to ensuring the stability of the power system.With the support of artificial neural networks,the effectiveness of forecasting and scheduling can be significantly improved,and their positive effects are significant.

关 键 词：人工神经网络 电力系统 负荷预测 优化调度 

分 类 号：TM715[电气工程—电力系统及自动化]