The new method for estimating remaining power in distribution networks of power systems based on equivalent power conversion is studied to improve the power supply capacity of power distribution network.A new type of distribution network state estimation model of power system is built.The modified measurement Jacobian iterative method solution model is used to estimate the first active power and reactive power of all branches in power distribution area.The power is used as the input of adaptive fuzzy neural network reasoning system.Distribution network battery remaining power estimates are output and trans-formed.While using the genetic algorithm to optimize the adaptive fuzzy neural network,the accuracy of the estimation results is improved.The experimental results show that the remaining power estimation result of this method is highly in line with the actual battery remaining power,which can prevent the power failure caused by insufficient battery power,and the estimation result of the remaining power is not affected by the current change.
关键词
等效功率变换/新型电力系统/剩余电量估计/零虚拟负荷/模糊神经网络
Key words
equivalent power conversion/new power system/remaining power estimation/zero virtual load/fuzzy neural net-work
维普
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