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電網(wǎng)企業(yè)六氟化硫回收再利用網(wǎng)絡(luò)規(guī)劃研究

發(fā)布時(shí)間:2018-06-22 21:02

  本文選題:六氟化硫 + 逆向物流網(wǎng)絡(luò)設(shè)計(jì); 參考:《華北電力大學(xué)(北京)》2017年碩士論文


【摘要】:六氟化硫(SF_6)氣體在電氣設(shè)備中具有廣泛的應(yīng)用。隨著檢修期密集的到來,越來越多的SF_6氣體需要更換。SF_6作為溫室氣體之一增溫效應(yīng)不可小覷。電網(wǎng)企業(yè)作為影響國(guó)計(jì)民生的特大型企業(yè),回收SF_6氣體是其不可推卸的社會(huì)責(zé)任。近年來,雖然部分省級(jí)電網(wǎng)企業(yè)建立SF_6處理中心對(duì)廢氣進(jìn)行回收再利用,但是如何科學(xué)合理地構(gòu)建回收再利用網(wǎng)絡(luò)還處于空白狀態(tài)。設(shè)計(jì)SF_6價(jià)值恢復(fù)的流通渠道結(jié)構(gòu),建立合理的SF_6回收再利用網(wǎng)絡(luò),不但能夠提高整個(gè)回收系統(tǒng)的工作效率,而且能夠最大化地降低成本,提高企業(yè)效益。本文以逆向物流相關(guān)理論為指導(dǎo),結(jié)合電網(wǎng)企業(yè)SF_6回收工作的實(shí)際,提出電網(wǎng)企業(yè)SF_6回收再利用網(wǎng)絡(luò)框架并建模,從而求解出當(dāng)滿足總成本最低時(shí)各層節(jié)點(diǎn)的最佳位置和各層節(jié)點(diǎn)之間的運(yùn)輸量,期望為電網(wǎng)企業(yè)SF_6回收工作提供一定的借鑒。論文主要研究?jī)?nèi)容如下:利用文獻(xiàn)研究法和調(diào)查法了解SF_6廢氣的危害和電網(wǎng)企業(yè)回收SF_6的工作現(xiàn)狀,分析當(dāng)前回收工作存在的問題,從而提出采用集中處理的方式設(shè)計(jì)電網(wǎng)企業(yè)SF_6回收再利用網(wǎng)絡(luò)框架,并為其建立單目標(biāo)多層次的模糊混合整數(shù)非線性規(guī)劃模型。該模型在電網(wǎng)企業(yè)現(xiàn)有的正向物流網(wǎng)絡(luò)基礎(chǔ)上擴(kuò)建,由回收點(diǎn),回收/配送中心,SF_6處理中心和SF_6供應(yīng)商三層設(shè)施節(jié)點(diǎn)構(gòu)成,針對(duì)各地回收數(shù)量的不確定,考慮到通貨膨脹率、折現(xiàn)率、SF_6處理中心選址定性評(píng)價(jià)等多種因素,實(shí)現(xiàn)SF_6回收再利用網(wǎng)絡(luò)總成本最小的優(yōu)化目標(biāo)。為提高模型求解的可操作性,運(yùn)用模糊規(guī)劃思想和解決方法將模糊變量轉(zhuǎn)化為確定性變量;SF_6處理中心選址的定性評(píng)價(jià),通過建立電網(wǎng)企業(yè)SF_6處理中心選址綜合評(píng)價(jià)指標(biāo)體系,運(yùn)用序關(guān)系法賦權(quán),應(yīng)用重心法確定待選地的候選范圍,采用基于云模型的不確定語言評(píng)價(jià)方法求得。該評(píng)價(jià)方法利用云模型將不確定語言變量轉(zhuǎn)化為定量值,相比于其他定性評(píng)價(jià)方法通過打分的方式將定性評(píng)價(jià)轉(zhuǎn)化為定量值,能夠大大降低主觀性。此外,該評(píng)價(jià)方法還考慮了決策者權(quán)重,使得群決策求解的評(píng)價(jià)結(jié)果更加準(zhǔn)確。最后,通過一個(gè)實(shí)例對(duì)以上研究成果進(jìn)行驗(yàn)證,利用Lingo軟件編程成功確定每一層網(wǎng)絡(luò)節(jié)點(diǎn)的位置、數(shù)量和網(wǎng)絡(luò)節(jié)點(diǎn)之間的物流量,實(shí)現(xiàn)總成本的最小化,從而驗(yàn)證模型的科學(xué)性和有效性。
[Abstract]:Sulfur hexafluoride (SF _ 6) gas is widely used in electrical equipment. With the arrival of overhauling period, more and more SF6 gases need to be replaced as one of the greenhouse gases. As a super large enterprise which affects the national economy and the people's livelihood, the recovery of SF6 gas is an unshirkable social responsibility of power grid enterprises. In recent years, although some provincial power grid enterprises set up SFS6 treatment center for waste gas recovery and reuse, but how to build a scientific and reasonable recycling network is still in a blank state. Designing the circulation channel structure of SF6 value recovery and establishing reasonable SF6 recycling network can not only improve the working efficiency of the whole recovery system, but also maximize the cost and increase the benefit of the enterprise. Under the guidance of reverse logistics theory, combined with the actual situation of SF6 recovery in power grid enterprises, this paper puts forward a network framework for SFS6 recycling and modeling in power grid enterprises. Thus, the optimal position of each layer node and the traffic volume between each layer node are obtained when the total cost is the lowest, and it is expected to provide some reference for SF6 recovery in power grid enterprises. The main contents of this paper are as follows: using literature research method and investigation method to understand the harm of SFS6 exhaust gas and the current situation of power grid enterprises to recover SFS6, and analyze the problems existing in the current recovery work. Thus, a centralized processing method is proposed to design the SF6 recycling and reuse network framework for power grid enterprises, and a fuzzy mixed integer nonlinear programming model with single objective and multi-level is established for it. The model is extended on the basis of the existing forward logistics network of power grid enterprises. It is composed of recovery point, recovery / distribution center, SF6 processing center and three-layer facility node of SF6 supplier. In view of the uncertainty of local recovery quantity, the inflation rate is taken into account. Discount rate SF6 processing center location qualitative evaluation and other factors to achieve SFS6 recycling network total cost minimum optimization goal. In order to improve the maneuverability of solving the model, the fuzzy variables are transformed into deterministic variables into the qualitative evaluation of the location of the SF6 processing center by using the fuzzy programming thought and the solution method, and the comprehensive evaluation index system of the SF6 processing center location of the power grid enterprise is established. The order relation method is used to weight, the center of gravity method is applied to determine the candidate range of the site to be selected, and the uncertain language evaluation method based on cloud model is used to obtain the candidate range. The evaluation method uses cloud model to convert uncertain language variables into quantitative values. Compared with other qualitative evaluation methods, the qualitative evaluation can be transformed into quantitative values by scoring, which can greatly reduce subjectivity. In addition, the weight of decision makers is taken into account in the evaluation method, which makes the evaluation results of group decision solving more accurate. Finally, through an example to verify the above research results, Lingo software programming successfully determine the location of each layer of network nodes, the number of network nodes and the flow between the network nodes, to achieve the minimum of total costs. In order to verify the scientific and validity of the model.
【學(xué)位授予單位】:華北電力大學(xué)(北京)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2017
【分類號(hào)】:X701;F426.61

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