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基于小型PLC的电力自动化系统节能控制模型

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电力自动化系统为非线性和多变量耦合系统,利用传统的模型进行节能控制,难以建立准确的控制模型,造成节能控制效果降低.提出基于小型PLC的电力自动化系统节能控制模型.采用西门子S7200系列的小型PLC作为电力自动化系统节能控制的核心,PLC的输入部分用来实时监测节能系统的运行状况,PLC的输出部分用来控制节能系统的运行过程,利用RBF神经网络建立基于PLC的节能控制模型,并给出节能控制效果输出时的具体步骤.实验结果表明,该模型在进行电力自动化系统节能控制,能够克服干扰因素,提高控制精度,效果令人满意.
Energy Saving Control Model for Electric Power Automation System Based on Small PLC
Electric power automation system is nonlinear and multivariable coupling system,so it is difficult to establish accurate energy-saving control model by using the traditional control model,therefore leading to low energy-saving control effect.This paper presents energy saving control model for electric power automation system based on small PLC.Small PLC (Siemens S-200 series) is adopted as the core of electric power automation system energy saving control ; PLC input part is used for the real-time monitoring of energy-saving system running state,and the output part for the running process; RBF neural network is used to establish PLC-based energy saving control model,and provide the output steps of energy saving control effect.The experimental results show that the energy saving control model is effective in controlling energy saving of electric power automation system,overcoming the interference factors,and improving the control precision.

small PLCelectric power automationenergy saving controlneural network

魏召刚、林世东、魏召强

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山东工业职业学院,山东淄博256414

国网上海市电力公司电力科学研究院,上海200437

山东墨龙石油机械股份有限公司,山东寿光262700

小型PLC 电力自动化 节能控制 神经网络

2014

华东电力
华东电力试验研究院有限公司

华东电力

CSTPCD
影响因子:0.551
ISSN:1001-9529
年,卷(期):2014.42(12)
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