Research on Optimal Design and Control Method of Integrated Energy System Based on Improved Cloud Adaptive Particle Swarm

In order to rationally design the capacity of each energy coupling unit integrated system, effectively coordinate and optimize control system equipment. This paper proposes an improved cloud adaptive particle swarm algorithm method. First, three busbars multi-energy equipment models based on electric, thermal, gas loads are established, then model has better global optimization capabilities defenses. Then, with anti-premature convergence characteristics is used annual economic established meet power balance constraints bus Finally, under conditions output purchase constraints, taking a typical park as example, simulation verifies effectiveness method proposed in this operation system.