Modeling identification of power plant thermal process based on PSO algorithm

In order to overcome the disadvantages of common model identification methods for thermal process, a novel identification solution based on the particle swarm optimization (PSO) was proposed in this paper. The effectiveness of the proposed identification algorithm is tested by simulation experiments in the common thermal process models. The experiments show excellent results in term of identification accuracy and effectiveness. The PSO approach provides the characteristics of ease realization and high identification accuracy compared with the identification results by improved genetic algorithm.