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Improvement Of The Design Scheme Of Power Distribution Facilities In The Community

Posted on:2023-08-05Degree:MasterType:Thesis
Country:ChinaCandidate:Z D CaoFull Text:PDF
GTID:2568306818972269Subject:Engineering
Abstract/Summary:PDF Full Text Request
As the last link in the power network,the stable operation of the residential power distribution facility is directly related to the quality of the user’s electricity consumption.At present,the State Grid Corporation of China generally completes the design of community distribution facilities in accordance with the "Typical Design Manual for Community Distribution Facilities"(hereinafter referred to as the code),but the design according to the code has the following two drawbacks: first,the design concept is relatively conservative,and the design equipment is too large,resulting in waste of funds;second,the code specifies that the capacity of the reactive power compensation device is 30% of the corresponding transformer,and the installation site is near the transformer,which cannot achieve the most ideal compensation effect.This article aims at the two defects in the above-mentioned canonical design,and optimizes the canon scheme on the basis of the canon,this article takes an example of community design as an example to expound the optimization concept,and the specific work content includes:(1)Load prediction of the newly built residential area at the beginning of the design.Due to the different development laws of different types of loads in the community,different types of loads should be predicted separately.Load prediction is divided into the following steps: collecting the load influencing factors and load sample data of each established cell,applying the entropy weight method and GRA(gray correlation)algorithm to process and filter the sample data;entering the sample data to train the LSSVM(least squares support vector machine);applying PSO(particle swarm algorithm)to optimize the LSSVM(least squares support vector machine);entering the future influencing factor data of the new cell to obtain the maximum future power of the new cell.Lay the foundation for the optimization and selection of subsequent power distribution facilities.(2)According to the above load prediction results,this paper designs the main wiring scheme,transformer,high and low voltage cable,high and low voltage distribution equipment,relay protection device,lightning protection and grounding system of the newly built residential area.The application of Guanglianda Engineering Cost Program to calculate the cost of the classic plan and the cost of the optimization plan are compared,reflecting the economic advantages of the optimization plan,and providing a network foundation for the optimization of the subsequent reactive power compensation device capacity site selection scheme.(3)This paper constructs the power distribution network obtained after selection on the MATPOWER simulation platform,applies the multi-objective function to unify the line loss and voltage quality of the two objective functions,and then applies the improved PSO(particle swarm algorithm)algorithm to calculate the optimal solution for the capacity selection of the reactive power compensation device,so as to achieve a smaller line loss and better voltage pass rate improvement effect compared with the classic,and compare with the classic reactive power compensation effect,reflecting the advantages.(4)After the selection of the cell power distribution facilities and the capacity selection of the reactive power compensation device are completed,it is also necessary to apply the SIMLINK system in the MATLAB platform to simulate the design results based on the optimization design results,observe whether the voltage and current indicators of each distribution facility exceed their bearing range,and verify the feasibility of the scheme.The verified and optimized design scheme can provide users with stable electrical energy and has good economy and higher power quality than the canon scheme,which can fully make up for the shortcomings of the canonical scheme.
Keywords/Search Tags:Design optimization of power distribution facilities, Load Forecasting, PSO-LSSVM, Fixed capacity and location selection of reactive power compensation device
PDF Full Text Request
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