Abstract:

The problem of heavy line overload not only affects the service life of power supply equipment,but also easily leads to a series of safety accidents.In order to achieve the goal of effective early warning of the problem of heavy overload of 10 kV lines,starting from the power consumption information collection substation area,the combination prediction model of 10 kV distribution load based on genetic neural network and adaptive weight is built.Then combinating with the line change relationship,the distribution load is predicted and the load situation of each 10 kV distribution line is grasped one day in advance.Taking the measures such as adjusting the power consumption scheme or load transfer in time for the distribution line with heavy overload risk,the heavy overload pressure of the line can be effectively relieved and the safe and stable operation of the distribution network can be ensured.Experiments show that the proposed model has high prediction accuracy and application value.

Key words: heavy line overload, genetic neural network, substation area, combination prediction of load