Topology Optimization of District Heating Network Based on Edge Influence Degree

Aim at improving structural reliability, we studied the topology backup optimization problem of district heating system in this paper. Based on the topological characteristics, edge influence degree index is established to measure the structural reliability of district heating network. 0–1 matrix and length weight matrix are constructed to describe the vertex attributes. The value of each element in the 0–1 matrix is taken as the optimization variable to establish the 0–1 nonlinear topology backup optimization model of district heating system, by taking the minimum total length of pipes as the optimization objective and setting the constraints such as connectivity and reliability. Then, the optimization model is solved based on genetic algorithm with the improved coding and decoding methods. The feasible solution transformation method and the elimination method of initial maximization objective function are used to deal with the constraints. Finally, through the optimization simulation of two gridded district heating area model with different sizes, the effectiveness of the proposed topology backup optimization model is verified.