Because the traditional active distribution network optimal pricing strategy does not set equality and inequality constraints, the power pricing exceeds the set maximum limit and reduces the pricing efficiency. Based on this, an active distribution network optimal pricing strategy based on improved genetic algorithm is studied. First, the optimal unit active power cost and reactive power cost are taken as objectives to establish an objective function, that is, a pricing optimization strategy model and then the equality and inequality constraints are set so that the power price does not exceed the set maximum limit, and finally Under constrained conditions, the improved genetic algorithm is used to solve the optimal pricing strategy model to obtain the optimal pricing. The experimental results show that the research method is priced a little higher on the basis of 0.5 yuan/degree greater than the set price lower limit. From the perspective of power companies, it shows that the optimized active distribution network pricing by the research method is more reasonable and the price is Higher efficiency.