This paper presents a voltage sensitivity analysis with respect to the real
power injected with renewable energies to determine the optimal integration
of distributed generation (DG) in distribution systems (DS). The best nodes
where the power injections improve voltages magnitudes complying with the
constraints are determined. As it is a combinatorial problem, particle swarm
optimization (PSO) and simulated annealing (SA) were used to change
injections from 10% to 60% of the total power load using solar and wind
generators and find the candidate nodes for installing power sources. The
method was tested using the 33-node, 69-node and 118-node radial
distribution networks. The results showed that the best nodes for injecting
real power with renewable energies were selected for the distribution
network by using the voltage sensitivity analysis. Algorithms found the best
nodes for the three radial distribution networks with similar values in the
maximum injection of real power, suggesting that this value maintains for all
the power system cases. The injections applied to the different nodes showed
that voltage magnitudes increase significantly, especially when exceeding the
maximum penetration of DG. The test showed that some nodes support
injections up to the limits, but the voltages increase considerably on all
nodes.

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