The particle swarm optimization algorithm with adaptive weight and NewtonRaphson method are studied to connect the distributed energy to the grid in this *** will discuss the research status of the current stage of th...
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The particle swarm optimization algorithm with adaptive weight and NewtonRaphson method are studied to connect the distributed energy to the grid in this *** will discuss the research status of the current stage of the *** basic principles and processes of particle swarm optimization algorithm and Newton-Raphson method are expounded,and their improvement and combination are made(as well as their improvement and combination) so that they can optimize reactive power for networks with distributed energy *** the improved algorithm is applied to the IEEE-14 and IEEE-30 models and the reconstruction results are *** network loss and reactive power of the reconstruction network are declined,the voltage quality is *** SIMULARTOR software is used to establish and calculate the power flow of original model and reconstruction model of IEEE-14 and IEEE-30 *** economic factors with grid supply point and connectedcapacity are analyzed to obtain the best ratio of powersystem at the same *** with the above results,the results are basically consistent,and the accuracy and reliability of the algorithm are ***,considering the economic factors of the system,adjusting the connectedcapacity of the distributed energy-wind power and photovoltaic,and obtaining the best access ratio(proportion),the economical efficiency of the system is improved,and it has referential value.
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