發(fā)布時(shí)間：2018-11-07 13:27

【摘要】：增壓站運(yùn)行方案制定的難點(diǎn)在于如何根據(jù)下游耗氣量的變化,在不超出壓縮機(jī)最大功率參數(shù)的情況下精準(zhǔn)快速地調(diào)整進(jìn)站壓力,并根據(jù)具體需求提前制定多機(jī)組聯(lián)合運(yùn)行方案。以大牛地氣田塔榆增壓站6RDSA-1型壓縮機(jī)組為研究對(duì)象,采用BP神經(jīng)網(wǎng)絡(luò)算法建立了壓縮機(jī)組運(yùn)行優(yōu)化模型。選擇已有的壓縮機(jī)進(jìn)氣溫度、排氣壓力及排氣流量這3個(gè)基本參數(shù)作為模型輸入值,計(jì)算得到了合適的進(jìn)氣壓力和機(jī)組的軸功率。通過(guò)不同工況多組數(shù)據(jù)對(duì)比,模型對(duì)進(jìn)氣壓力的預(yù)測(cè)結(jié)果與現(xiàn)場(chǎng)實(shí)測(cè)值的相對(duì)誤差小于2.75%,驗(yàn)證了基于BP神經(jīng)網(wǎng)絡(luò)算法的壓縮機(jī)組運(yùn)行優(yōu)化模型的可靠性,有助于增壓站提前制定多機(jī)組聯(lián)機(jī)運(yùn)行方案,提升機(jī)組的運(yùn)行效率,降低能耗和運(yùn)維成本。
[Abstract]:The difficulty of working out the operation plan of supercharging station is how to adjust the inlet pressure accurately and quickly according to the change of downstream gas consumption and make the combined operation plan of multi-unit in advance according to the specific demand. Taking the 6RDSA-1 type compressor unit in Tayu supercharging station of Daniudi gas field as the research object, the operation optimization model of the compressor unit is established by using the BP neural network algorithm. Three basic parameters of compressor intake temperature exhaust pressure and exhaust flow are selected as the input values of the model and the proper intake pressure and the shaft power of the unit are calculated. Through the comparison of different working conditions and many groups of data, the relative error between the prediction result of the model and the field measured value is less than 2.75, which verifies the reliability of the optimized model of compressor unit operation based on BP neural network algorithm. It is helpful for the supercharging station to draw up the on-line operation plan of the multi-unit in advance, to improve the operation efficiency of the unit, and to reduce the energy consumption and the operation and maintenance cost.
【作者單位】： 長(zhǎng)江大學(xué)機(jī)械工程學(xué)院;中石化石油機(jī)械股份有限公司壓縮機(jī)分公司;
【基金】：國(guó)家科技重大專項(xiàng)“鉆井協(xié)同自動(dòng)控制系統(tǒng)研發(fā)”,2016ZX05022006-004 工業(yè)和信息化部科研項(xiàng)目“海洋大功率往復(fù)式壓縮機(jī)研制”,工信部聯(lián)裝[2014]506號(hào) 湖北省技術(shù)創(chuàng)新專項(xiàng)“深部地?zé)豳Y源綜合開(kāi)發(fā)利用關(guān)鍵技術(shù)”,2016ACA181 長(zhǎng)江大學(xué)地?zé)豳Y源開(kāi)發(fā)研究所開(kāi)放課題“往復(fù)式壓縮機(jī)故障診斷與運(yùn)行優(yōu)化系統(tǒng)研究”,Geo TH2014-04;長(zhǎng)江大學(xué)青年基金項(xiàng)目“天然氣壓縮機(jī)組節(jié)能優(yōu)化運(yùn)行軟件開(kāi)發(fā)”,2015CQN46
【分類號(hào)】：TE974
，

本文編號(hào)：2316510