Integrated energy system interval optimization method based on improved multi-objective Tiancattle swarm algorithm

The invention discloses an integrated energy system interval optimization method based on an improved multi-objective longcattle swarm algorithm, and the method comprises the steps: confirming the internal structure of an integrated energy system, building an integrated energy system multi-objective interval optimization model considering multiple uncertain factors, and building an objective function model and a constraint condition; acquiring system operation data of the integrated energy system; and according to the system operation data, solving the multi-target interval optimization model of the integrated energy system based on an improved Tiancattle swarm algorithm. According to the method, the interval optimization model considering the uncertain factors is constructed, so that the change uncertainty of supply and demand of new energy in time and space can be well processed, an accurate scheduling interval is provided for scheduling personnel, the reliability is high, the accuracy is good, the overall