Application of conic programming for optimal distributed generation allocation in distribution network

The widely application of distributed generation (DG) technologies poses new challenges to the operation and planning of the distribution network. Firstly, based on the basic DG allocation problem, a conic transformation model is proposed through variable substitution to realize the required format conversion, and then the conic programming(CP) algorithm is employed to acquire the optimal solution accurately, which also realizes the solving of power flow simultaneously. Finally, the optimal DG capacity obtained under different penetration levels and power factors are analyzed on the IEEE 33-node test feeder. Meanwhile, the validity of conic model as well as the CP algorithm is also verified.