The traditional approach to delivering electrical power to end-users requires power to be generated by huge power plants where the voltage is increased to a desirable level using transformers. Then, electrical power is delivered via long-distance lines to the destination. After one or two stages of voltage reduction, consumers receive the delivered power. Recently, due to higher demand for electricity and higher outputs of generation units, small power companies are more likely to exploit the mentioned units in their distribution system near the consumers. These small units attached to the distribution systems are called non-concentrated generation or distributed generation. Nowadays, distributed generation plays a vital role in electrical distribution systems because of, for instance, the reliability improvement index, stability improvement and loss reduction. One main aspect of using distributed generation is to displace these resources in distribution networks. Load ability in distribution systems and its promotion are some keys in power systems. Up to now, displacement of distributed generation resources in order to promote the load ability of distribution system has not been discussed. It is obvious that displacement and usage of distributed generation using genetic algorithm improvement maximize the load ability in distribution systems. After the considered flowchart has been extracted, this method is used in IEEE standard 12-bus network. Results have shown the efficiency of the mentioned algorithm.