Research On Design Of Logistics Network Of Recycling And Reusing Of Sulfur Hexafluoride

Sulfur hexafluoride?SF₆?gas has been widely used in electrical equipment.More and more SF₆ gas needs to be replaced with serried coming of the overhaul period.As one of the greenhouse gases,the effect of temperature increasing couldn't be ignored.As a mega corporation that affecting national economy and the people's livelihood,it's an obligatory social responsibility for power grid enterprises to recover SF₆ gas.In recent years,though some provincial power grid enterprises have established SF₆ processing center for recycling and reusing exhaust gas,how to scientifically and reasonably build a recycling and reusing network is still in a virgin state.To design a structure for distribution channel of SF₆ value restoration and establish a reasonable SF₆ recycling and reusing network could not only improve work efficiency of the entire recover y system,but also lower the cost at a maximum degree and improve the enterprises benefit.The paper took the reverse logistics correlation theory as the guide,combining with the reality of SF₆ recovery work for power grid enterprises to propose a web-based frame for SF₆ recycling and reusing of power grid enterprises and establish a model,thus obtained the best position for nodes of different layers and the amount of traffic between nodes of different layers when meeting the minimum total logistics cost,all of these work was aimed at providing a reference for SF₆ recycling work of power grid enterprises.The main research contents were as follows:To understand the hazard of SF₆ exhaust gas,current work status for SF₆ recovery work of power grid enterprises and analyze problems that exist in current recovery work by the literature research method and survey method,then propose to employ a centralized processing method to design SF₆ recycling and reusing web-based frame for power grid enterprises and establish a mixed-integer nonlinear programming model with simple target but multi levels.The model was extended on the basis of current forward logistics network for power grid enterprises which consists of nodes from three-layer facilities: recycling points,the recovery /distribution center and SF₆ processing center against an uncertain recovery amount from different points and took many factors such as the inflation rate,the discount rate and the qualitative evaluation for SF₆ processing center location into account for the purpose of reaching the optimization objective,that is,minimize total network logistics cost for SF₆ recycling and reusing.In order to improve the feasibility of model solution method,we applied the fuzzy programming thought and solution to translate the fuzzy variable into a certainty variable;finally,the qualitative evaluation for SF₆ processing center location was obtained by establishing a comprehensive evaluation index,empowering by application of the order relation method,employing the centroid method to determine the candidate range of waiting locations and adopting an uncertain linguistic assessment based on the cloud model.The evaluation methodology translates the uncertain language value into a quantitative value,which could greatly reduce the subjectivity comparing with other qualitative evaluation of translating the qualitative evaluation into a certain language value through scoring approach.What's more,taking weights of decision makers into consideration,the method,results of assessment was more accurate.Finally,we used an example to verify the research result mentioned above and utilized the Lingo software programming to determine the position and amount of each network node and the logistics quantity between network nodes successfully,realized minimum total logistic cost and verified reliability and feasibility of the model.