Design Application Of Reactive Power Optimization Of 10kV Distribution Lines In Xiaoshanzi Town,Wuchang City

The 10 kV rural distribution network not only carries the development of agriculture and rural areas,but is also an important guarantee for a series of livelihood projects such as rural revitalisation,scientific and technological development of agriculture and comprehensive poverty alleviation.Therefore,it is of great significance to carry out automation,information technology and intelligent upgrading of the 10 kV rural distribution network and research and application of reactive power optimisation,and is also an important link in the construction of intelligent rural power grids and energy internet.This paper takes the two 10 kV distribution lines of the 66 kV Xiaoshanzi substation in Xiaoshanzi Town,Wuchang City,Heilongjiang Province,as the optimisation target,and carries out reactive power optimisation design for problems such as obvious seasonal loads,long supply distances,large energy losses and poor end power quality,and solves the actual problems in the area by applying the Internet+10kV distribution line reactive energy supply and demand balance intelligent system.The research not only provides power supply enterprises with an interactive 10 kV distribution line reactive energy optimisation power Io T platform that can be widely used,but also offers great prospects for power enterprises to save energy and increase efficiency,while improving the quality of power supply and increasing the credibility of people’s livelihoods in the region.This paper first provides a theoretical introduction to the purpose of reactive power optimisation for 10 kV distribution networks and the method of tide calculation.On the basis of a comprehensive analysis of the characteristics of China’s existing 10 kV distribution networks from multiple perspectives,the tide calculation is carried out using forward back substitution,which is a reliable algorithm with fast convergence and solution speed.The nodes are numbered using the forward traversal method,which is an optimised numbering method.The numbering process is simple and clear,and the numbering sequence itself reflects the structure of the network topology,which is conducive to directly reflecting the actual situation of the main feeders.The advantages and disadvantages of two reactive power compensation strategies for distribution lines are then compared and analysed,namely the shortcomings of reactive power compensation based on power factor and the advantages of reactive power compensation based on reactive load under intelligent system control.On this basis,an in-depth study is carried out on the problem of optimal siting and capacity setting of reactive power.By introducing the concept of moment,the method of determining the location of reactive power compensation points by using the primary impedance power moment is proposed to avoid the overlapping of the compensation range due to the over-concentration of the distribution of compensation points in the line,which significantly improves the efficiency of reactive power compensation.On the basis of determining the location of the compensation points,the model is solved using an improved genetic algorithm with the minimum active loss as the objective function to determine the optimum compensation capacity configuration,and the generation of the initial population is optimised.The strategy for generating the initial solution is to start from the end of the line in order towards the power point,with the compensation capacity of each reactive power compensation point as the upper limit,improving the optimisation capability.Finally,an intelligent system for balancing reactive energy supply and demand on 10 kV distribution lines is designed and the principle of shunt capacitor bank reactive power compensation and intelligent control strategies are studied.It can be used in conjunction with SCADA to significantly improve optimisation efficiency and achieve reactive power balancing,with topology maintenance functions,throwing and cutting history query and analysis,throwing and cutting capacity statistics,data export and other functions.In this paper,the intelligent system is used to optimise the reactive power of two 10 kV distribution lines in the 66 kV Xiaoshanzi substation on the maximum reactive power day(at maximum load),in which the active network loss reduction rate of the Xiaoshanzi A line is increased by 47.66%,and the end voltage of the line before optimisation is 8.9kV,after optimisation it reaches 9.41 kV;the active network loss reduction rate of the Xiaoshanzi Chengbei line is increased by 41.12%,and the end voltage of the line before optimisation is 9.35 kV,after optimisation it reaches 9.69 kV.Before optimisation,the end voltage of the line was 9.35 kV,after optimisation it reached 9.69 kV.It can be seen that the active network loss of the distribution network in the area was significantly reduced and the power quality was significantly improved,and the intelligent system achieved good results in practical application.