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Research On Network Design Of Electric Power Emergency Material Warehouse Based On Robust Programming Model

Posted on:2020-02-02Degree:MasterType:Thesis
Country:ChinaCandidate:N LiFull Text:PDF
GTID:2392330578468833Subject:Engineering
Abstract/Summary:
In recent years,along with the increasingly close trend of power grid interconnection,local emergencies and the occurrence of major natural disasters will cause power interruptions in a large area,which will have a major impact on people’s production and life.It requires the electric power system to establish efficient and perfect emergency system and mechanism,and the planning and design of the emergency material warehouse network plays a key role in the emergency rescue work of the entire electric power enterprise,which largely determines the efficiency of the allocation of emergency materials.In the event of a electric power emergency,the electric power emergency materials need to be delivered to the accident site in time,and the reasonable planning of the electric power emergency material warehouse network can ensure that the needs of each disaster site are met to the greatest extent,thereby reducing the total time of emergency rescue and minimizing losses.At first,The paper consults a large number of literature,summarizes the background of topic selection and the research status at home and abroad,and introduces the related basic theories of electric emergency logistics,robust models and common emergency material warehouse network design models.Then,based on the field research and other methods,The paper summarizes the current planning status of emergency material warehouse network of electric power companies.On the basis of the analysis of the relevant elements of the electric power emergency material warehouse network design,based on the robust model can be maintained strong stability under various uncertain factors,the paper choose to combine robust theory with emergency material warehouse network design problems,and establish a robust planning model for electric power emergency material warehouse network design in the goal of the minimum cost of total and the minimum total emergency rescue time.At the same time,considering the uncertain factors in the emergency logistics system of electric power enterprises,under the condition of uncertain demand for emergency materials,it establishes a staged robust planning model for electric power emergency material warehouse network design.Under the condition that the road network is uncertain,A corresponding robust planning model for the network design of electric power emergency material warehouse was established.In order to realize the operability of the model,a robust optimization method is used to transform the robust programming model with uncertain parameters.Through the analysis of the worst case,the transformation of the absolute robust programming model is carried out.At the same time,the control parameters are introduced to transform the relative robust programming model.In order to avoid the estimation risk of parameters to the greatest extent,the transformation method of relative robust optimization is selected to transform the robust programming model with uncertain parameters into a robust programming model with deterministic coefficients,and then the dual objective model is transformed into a single-objective model by the method of objective programming.Finally,taking a provincial electric power company as an example,the MATLAB 2014b software is used to quickly determine the quantity,location,scale and distribution service scope of the electric power emergency material warehouse.At last,the results of the emergency material warehouse network design obtained by the dual-objective robust programming model established in this paper are optimized from a global perspective,which provides an effective reference for the network design problem of the emergency material warehouse of electric power enterprise.
Keywords/Search Tags:Electric power enterprise, Emergency material, Robust programming model, Warehouse network design
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