Research On Reactive Power Compensation Of Construction Electricity Based On Genetic Algorithm

The buildings emerge more and more in accordance with the enlarging needs of city construction,the importance of construction electricity becomes prominent thereby.In order to save energy,reduce network losses and raise voltage level,the reactive power optimization becomes a necessary phase in electricity distribution network.Therefore,studies on reactive power optimization of contemporary electricity distribution network,the mainly goal of which is to improve voltage level and to reduce power losses,catch attention of researchers.Many reactive power optimization methods have been proposed,and this paper will give research mainly on application of reactive power optimization of construction electricity based on genetic algorithm.This paper will discuss the goal and meaning of research on reactive power optimization of construction electricity distribution firstly,some useful reactive power optimization methods will be introduced.Secondly this paper will present the model and objective function based on the actual situation of temporary electricity distribution network,and the network losses,voltage quality and reactive power compensation capacity are taken into account,taking tide equation as constrains of equation,taking the range of control variable and state variable as constraints of inequation.Thirdly the basic principle,operation and application of routine genetic algorithm will be explained in detail and improvement will be proposed on this basis.The routine genetic algorithms have problems such as prematurity in the final stage and slow convergence rate.This paper will use the improved methods to solve these problems.These kinds of methods includes:using decimal coding to improve the numeracy.To ensure the population diversity,the penalty coefficient with linear and exponential variation laws will be applied,and the sufficiency function is modified by linear transformation.Using the adaptive variance of the genetic factor and the improved genetic operation,the global and partial optimization ability can be obviously raised.The convergence of the whole algorithm has been raised by adopting the hybrid GA with GA and SQP.The results of calculation and simulation show that the calculation speed and convergence ability of improved genetic algorithm is much better than routine genetic algorithm,and it is also a feasible and valid method of reactive power optimization in construction electricity distribution network.