An economic dispatch weighted optimization model of power system was set up,considering the power generation of the total amount of fuel,nitrogen oxides emissions and electricity prices as objective functions and considering the system energy balance,system plus or minus standby,output power and increasing rate of output power as constraint conditions.Furthermore,a hybrid intelligent algorithm was designed based on particle swarm-artificial fish swarm algorithm.A scheduling problem of thermal power plants of 10 units was simulated to demonstrate the effectiveness of the weighted optimization model,and the convergence and stability of the hybrid intelligent algorithm.