电网企业六氟化硫回收再利用网络规划研究

发布时间：2018-06-22 21:02

本文选题：六氟化硫 + 逆向物流网络设计　；参考：《华北电力大学(北京)》2017年硕士论文

【摘要】：六氟化硫(SF_6)气体在电气设备中具有广泛的应用。随着检修期密集的到来,越来越多的SF_6气体需要更换。SF_6作为温室气体之一增温效应不可小觑。电网企业作为影响国计民生的特大型企业,回收SF_6气体是其不可推卸的社会责任。近年来,虽然部分省级电网企业建立SF_6处理中心对废气进行回收再利用,但是如何科学合理地构建回收再利用网络还处于空白状态。设计SF_6价值恢复的流通渠道结构,建立合理的SF_6回收再利用网络,不但能够提高整个回收系统的工作效率,而且能够最大化地降低成本,提高企业效益。本文以逆向物流相关理论为指导,结合电网企业SF_6回收工作的实际,提出电网企业SF_6回收再利用网络框架并建模,从而求解出当满足总成本最低时各层节点的最佳位置和各层节点之间的运输量,期望为电网企业SF_6回收工作提供一定的借鉴。论文主要研究内容如下:利用文献研究法和调查法了解SF_6废气的危害和电网企业回收SF_6的工作现状,分析当前回收工作存在的问题,从而提出采用集中处理的方式设计电网企业SF_6回收再利用网络框架,并为其建立单目标多层次的模糊混合整数非线性规划模型。该模型在电网企业现有的正向物流网络基础上扩建,由回收点,回收/配送中心,SF_6处理中心和SF_6供应商三层设施节点构成,针对各地回收数量的不确定,考虑到通货膨胀率、折现率、SF_6处理中心选址定性评价等多种因素,实现SF_6回收再利用网络总成本最小的优化目标。为提高模型求解的可操作性,运用模糊规划思想和解决方法将模糊变量转化为确定性变量;SF_6处理中心选址的定性评价,通过建立电网企业SF_6处理中心选址综合评价指标体系,运用序关系法赋权,应用重心法确定待选地的候选范围,采用基于云模型的不确定语言评价方法求得。该评价方法利用云模型将不确定语言变量转化为定量值,相比于其他定性评价方法通过打分的方式将定性评价转化为定量值,能够大大降低主观性。此外,该评价方法还考虑了决策者权重,使得群决策求解的评价结果更加准确。最后,通过一个实例对以上研究成果进行验证,利用Lingo软件编程成功确定每一层网络节点的位置、数量和网络节点之间的物流量,实现总成本的最小化,从而验证模型的科学性和有效性。
[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.
【学位授予单位】：华北电力大学(北京)
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：X701;F426.61

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