Modelization and optimization of multi-type power generators joint scheduling based on improved PSO

This paper presents a multi-type power generators joint scheduling model for power system which is composed of thermal power, hydro power, pumped storage power and wind power. This model has a good accordance with the operation characteristics of each type power generator, security of whole system and abandoned water/wind. Based on the aggregation degree of particles, an improved particle swarm optimization (PSO) algorithm is proposed to solve the model. Four typical particle operations are introduced to overcome the shortcoming of standard PSO such as premature convergence and easily local optimized. Heuristic particle-repairing rules are designed to handle the complex constraints in the model. Taking the IEEE 39-bus and 118-bus system as examples, the simulation results show that the proposed approach has far higher global searching ability and obtains feasible solution of higher quality compared with PSO and GA.