Optimal allocation of intermittent distributed generation-reactive power compensation based on 2-layer programming

The optimal configuration model based on 2-layer programming was built using chance constrained programming method. The upper optimization model determines the optimal location and capacity of DG-C while the lower optimization model determines the optimal switching strategy of C. An improved genetic algorithm which can be easy to handle discrete variables was chosen for the optimal solution. The simulation results show that the 2-layer optimized model has improved expected value of node voltage and the probability within normal range as well as obtained comprehensive optimization of economic and environmental benefit.