Optimization Model Of Distribution Network Investment Decisions Based On The Engineering Properties And Apply Research

With the rapid development of China’s economy and the increase of people’s living level,the community’s growing demand for electricity makes it essential to build a strong and reliable power grid.As the most important part of power system,distribution network is directly related to the development of economy,the improvement of people’s living level and the safe and economic operation of power grid.Traditional grid planning project evaluation generally takes the "expert decision-making" approach.However,the large number of distribution network construction projects(DNCP),which often results in a large number of blind investment and huge waste of funds,usually causes that the decision-making can not be completed scientifically and effectively.Therefore,it is necessary to establish a scientific and reasonable sorting and optimization model of DNCP.On the one hand,it helps to allocate the found reasonably and provide a scientific basis for the distribution network investment optimization decisions;On the other hand,it can optimize the investment structure of the distribution network and greatly improve the level of the overall operation of the power grid.To avoid the limitation of traditional DNCP investment evaluation that only concerning about the single project investment benefit but ignoring the overall efficiency of the power grid,in this paper,the investment optimization model of DNCP based on engineering property is proposed and applied to the empirical analysis.Specifically speaking,first of all,we divided a number of DNCPs into six categories of engineering properties,namely,load supply,network frame improvement,power supply safely,power quality improvement,intelligent level and benefit growth,in accordance with theirs investment drivers and the main problems to be resolved.Then this paper analyzed the factors influencing various engineering properties,and puts forward the ideas and methods of investment optimization of DNCP based on engineering property.Next,this paper constructed the index system for evaluating the investment achievement of the DNCPs based on the engineering property,analyzed the relationships between the indicators of various types of engineering properties,and determined the meaning and calculation methods of the indicators.After that,this paper proposed a investment optimization model of DNCP based on engineering property,whose process can be expressed as: applying the ANP-AEW-TOPSIS method to sort and select the single DNCP under each engineering property,and obtain the DNCP group of each engineering property.Then,by determining the investment distribution proportion via the overall investment benefit of each project property,taking the unit investment benefit maximization as the optimization target and considering both the total investment constraint and the investment distribution proportion constraint,the selected DNCP groups could be optimized.Finally,this paper empirically analyzed the relevant project data of DNCPs o f Fuzhou Power Grid Corporation of Fujian Province in 2016,so as to verify the practicality and effectiveness of the proposed model.The empirical analysis results show that the investment optimization model proposed in this paper can better reflect the characteristics of the engineering properties of the DNCP and fully reflect the integrity and systematization of the overall distribution network construction.In addition,the optimized DNCPs were more in line with the actual distribution network needs in the investment structure,and can effectively avoid duplication and waste of funds,and the optimized project group has a good unit investment returns.Thus,it can be verified that the proposed investment optimization model of DNCP based on engineering property is feasible and practical for the optimization of the project database including many DNCPs,which can provide a useful reference for the relevant government departments and power grid enterprises in China.