Multi-objective genetic reconstruction algorithm based on fiber optic cable topology in distribution communication network

Due to the complex topology of optical cables in the distribution communication network, it is difficult to effectively control network losses when reconstructing them. Therefore, a multi-objective genetic reconstruction algorithm based on the topology of optical cables in the distribution communication network is proposed, which analyzes the contact status of power supply blocks in the distribution communication network from three aspects: the average contact degree of substations, the imbalance degree of substation connections, and the balance level of substation connections, And use it as the optimization goal of genetic algorithm, encode the selectable lines based on the specific capacity variables and installation locations of power and distributed power sources, and set penalty coefficients and constraints to control the optimization process. In the test results, the single line network loss of the distribution communication network under the designed algorithm is stable within 0.30%, which is at a relatively low level.