摘要
推出一种新型的微机双绕组变压器负荷经济运行控制系统。根据实际运行负荷的变化规律 ,本系统利用人工神经元网络所具有的强大的学习能力、一定的容错能力和对噪声的鲁棒性进行短期负荷预测。自动地将日负荷曲线分为两个典型时间段 ,在充分考虑变压器及其控制开关运行条件的前提下 ,自动调整变压器在两个时间段内的运行状态 ,最大限度地降低变压器自身的电能损耗 ,从而达到降损、节能。
A control technology used for load economic operation of transformers is expounded in this paper.According to the changing rule of the real load it takes advantage of the powerful robustness and learning of artificial neural network to forecast short term power load. It divides the daily flow line automatically into two typical chronoisotherms.The working modes of transformers are modified automatically on the precondition of thinking adequately upon the working condition and their lifespan of transformers and control switches.Lowing power energy loss of transformers themselves,cutting power loss,saving power energy and increasing economic beneficial result are realized by using the device into a substation.
出处
《继电器》
CSCD
北大核心
2001年第10期34-37,共4页
Relay
关键词
电力变压器
经济运行
节能
神经元网络
saving energy
power loss
economic operation
artificial neural network
