Brain storming optimization algorithm for heating dispatch scheduling of thermal power plant

In the traditional scheduling mode of the current thermal power plants, only the power load distribution of the unit was considered. And there was no enough guidance to the heat source scheduling. This can not meet the current energy-saving and emission-reduction requirements. In this paper, an optimal heat load dispatching model is set up under the premise of power load distribution of thermal power plant. Three kinds of heat loads including to high-pressure, medium-pressure and low-pressure are taken into account in the scheduling model. According to the characteristics of the problem, Brain Storming Optimization (BSO) algorithm is used to get the optimal distribution strategy. The comparison with the original scheme shows the correctness of the model and the optimization algorithm. Moreover, the optimization ability and effectiveness of brain storming optimization algorithm in solving complex optimization problems are verified by comparing the proposed algorithm with the other different optimization algorithms, such as Particle Swarm Optimization(PSO) and Differential Evolution (DE) algorithm.