Low Carbon Active Distribution Network Expansion Planning Model Based on Immune Firefly Algorithm
In order to improve the carbon reduction,reduce the carbon emissions of large power grid,and ensure the stable op-eration of distribution network and power supply,a low carbon active distribution network expansion planning model based on immune firefly algorithm is studied.Based on carbon emissions and economic minimum total cost.This paper constructs the objective function of the active power distribution network expansion planning and set constraints of balance and voltage,line current,distributed power supply capacity in the network node active and reactive power.Based on immune to firefly algo-rithm.This paper optimizes and solve the objective function,to obtain the optimal results low carbon active distribution net-work expansion planning.The test results show that the convergence solution can be completed after the number of iterations reaches 120.This paper generates each line and node structure of distribution network after expansion planning.After plan-ning,the maximum voltage fluctuation value of each node in distribution network is 12.4％,the maximum carbon emission is 1.77 ×10 6 t,the highest proportion of carbon reduction is 27.6％,and the maximum loss of distribution network is 66.4 kW.Meanwhile,good autonomy of distribution network and good application can be ensured.
immune firefly algorithmcarbon emissionactive distribution networkexpansion planningtotal economic costcarbon reduction
万方数据
维普
