The present application relates to the technical field of
integrated energy system optimization scheduling, and discloses a method for unit commitment of an integrated
electricity-heat
system based on an interior point Benders
decomposition, which comprises the following steps: firstly, a mixed
integer linear programming model is constructed, and decision variables such as
power unit start-stop / scheduling, heat
system output and
heat supply network temperature are determined, so as to minimize the total operation cost of the
system, integrate multiple constraint conditions, and use the
method of characteristics to analyze the
partial differential equation of
pipe temperature conduction, thereby improving the accuracy of dynamic temperature description; and secondly, the model is solved by combining the improved Benders
decomposition algorithm of the
interior point method, so as to realize parallel solving of the main problem and the sub-problem. Through
simulation verification of an IEEE
standard system, the method can realize collaborative optimization scheduling of the
electricity-heat system, adapt to
wind power uncertainty, ensure the stability of the system, reduce the operation cost and improve the energy utilization efficiency.