Power System Power Flow Calculation And Reactive Power Optimization

Voltage quality is of great importance to the safety of power equipment,power line loss,stable operation of the power grid,production quality,consumption of electricity consumption,safety of workers and peasants' production and people's daily life.The reactive power optimization of power system is to reduce the loss,Improve the voltage quality of an important measure.Genetic algorithm is based on the genetic mechanism of population and natural selection based on the search algorithm,it is not based on information gradient,but to simulate the natural evolution of the way to search for the best solution is a whole solution It is proved that this method is very applicable to many complex optimization problems.At present,genetic algorithm is an effective method to study the optimization of reactive power.Therefore,this paper introduces the genetic algorithm used in reactive power optimization of power system,and puts forward the improvement of genetic algorithm in reactive power optimization calculation of large-scale power system.Power flow refers to the sum of all the power operating parameters in the power system,including the current and power of each load and generator,the current,power and loss generated by the electromagnetic components such as various lines and transformers.Each bus voltage And phase.The calculation of power flow in power system is the most frequent and basic operation in power network planning and system operation.Its purpose is to obtain the unknown parameters of each node of the power grid by calculating the parameters of some lines.The reactive power optimization in the power network is a nonlinear programming problem with a variety of constraints and multiple variables.The controllable parameters include continuous parameters and discontinuous control parameters,so how to rationally distribute The reactive power of the grid becomes a very difficult problem.In recent years,many experts and scholars have been studying the field,and also adopted some optimization strategies.Among them,general strategies for optimizing reactive power include linear,nonlinear programming,integer and dynamic programming.In recent years,there are some new solutions,Such as adaptive algorithms,neural networks and genetic algorithms.Reactive power optimization is based on the power flow calculation.The power flow of each node in the network is calculated by the power flow,and then the reactive poweris calculated and compared with the actual reactive power demanded by the node.optimization.In order to study reactive power optimization improvements,this article has done a detailed analysis,in order to line the minimum active power losses as the objective function,the generator node voltage,adjustable transformer taps,and reactive compensation devices for the control variables,sensitivity analysis to determine the reactive power compensation point,the genetic algorithm for reactive power optimization.Obtain the most accurate results,it proved reasonable installation of reactive power compensation device can reduce active power loss,genetic algorithm quickly and accurately characterized in reactive power optimization.