The invention discloses a multi-heat-source annular
heat supply network hydraulic optimization scheduling method based on a PSO
algorithm. The method comprises the following steps: (1) determining user flow demands, the number of heat sources,
inertia weights, self-learning factors, group learning factors, the number of group particles and iteration times z of each heating
station according to actual conditions of a
heat supply network; (2) setting the working condition k to be equal to 0 and setting an initial iteration value; (3) calculating the flow of each
branch, the
branch impedance of the heating
station, the node pressure of the
water supply pipe network and the node pressure of the
water supply pipe network; (4) calculating the total
power consumption of the
circulating pump of the heat source, calculating to obtain an individual optimal value of the particles, and obtaining a
global optimal value of the particles; and (5) when k is greater than or equal to z, outputting the globally optimal solution and the total
power consumption of the
circulating pump of the heat source corresponding to the globally optimal solution. On the premise of meeting the specific flow requirement of each heating
station, the flow distribution of each heat source and the impedance of the primary side valve of the heating station are adjusted online in real time, and the optimization targetof the minimum
total energy consumption of the
circulating pump of all the heat sources is achieved.