Economic Load Dispatch Of Power System Based On Hybrid Intelligent Algorithm

The power system economic load dispatch problem is one kind of very important power system optimization problem. Under the conditions to meet the balance of the power system, a reasonable allocation of each unit output can save energy consumption and increase economic efficiency. With the rapid development of China’ s industry and economy, energy shortages and environmental problems become severe increasingly. To improve energy structure and develop renewable energy sources is imminent. Wind energy as a clean and renewable energy has been developed and utilized vigorously. Because wind power has a random fluctuation, wind power not only brings some challenges for stable operation of the power grid, but also increases the difficulty of solving the economic dispatch problem. Therefore, solving the economic dispatch problem with wind farms on the basis of the original economic load dispatch has very important significance.Firstly, this article has described the distribution characteristics of the wind and researched the function of wind power output with wind speed. And this article elaborated the influence when the wind power access to the power system and the impact of the economic load dispatch problem. This article also researched a series of energy storage technology features including advantages and shortcoming. Then this article elaborated some energy storage technology applied to the power system. Secondly, the particle swarm optimization and the simplex algorithm were studied in detail, and a hybrid intelligent algorithm was presented. The hybrid algorithm full played their advantages of single algorithm to make up their own inadequacies and was tested by typical test function. And the superiority on convergence speed and optimal quality of the hybrid algorithm were verified. Again, the static mathematical model and dynamic mathematical model of the economic load dispatch were established respectively. In the model of the static economic load dispatch, the turbine valve point effect on consumption characteristics of the unit and the method of solving net loss were analyzed. In the model of the dynamic economic load dispatch, the time period of each coupling was considered and the climbing constraints of the units was analyzed. The particle swarm optimization algorithm and the hybrid intelligent algorithm were used to solve the different examples. Through the comparison and analysis of results, hybrid intelligent algorithm has obvious advantages in the solution of the static and dynamic economic load dispatch problem were verified.Finally, this paper presented the mathematical model of economic load dispatch of power system with wind power, and based on this model, the mathematical model of the system with energy storage system were presented. And two cases that considering the environmental cost or not were solved with the particle swarm optimization algorithm and hybrid intelligent algorithm. The results showed the feasibility of this mathematical model.