Improved Cultural Particle Swarm Of Power System Dynamic Economic Dispatch

Dynamic economic dispatch(DED) of power system is an important research topic in the economic dispatch system. Its non-convex, non-linear, high-dimensional and multi-constraint makes it difficult to be optimized. These years, the stock of coal and other resources is getting lower and lower. Various countries have attached great importance to the development and utilization of new energy sources. The rapid development of Wind power generations are in the forefront. Today, the study on dynamic economic dispatch of power system with wind power generation has just begun by States. Wind power is a clean and renewable green energy. Although the energy source is abundant and inexhaustible, also it has a strong randomness and volatility cannot be scheduled. It is difficult to solve the dynamic economic load dispatch problem with the power generator set in the traditional mathematical method.In the context of this case, DED is no longer considered only the cost of coal-fired thermal power into the smallest single goal in today’s real-time control of the security system and also the premise of full use of wind power, reduce environmental pollution,etc. economic issues. The main content of this paper is as follows:(1)Based on numerous research results in the existing particle swarm algorithm,cultural algorithm and cultural particle swarm algorithm, further study on the belief space evolution mechanism of cultural algorithm, discuss the dynamic change of inertia weight of particle swarm optimization algorithm, propose an improved parallel culture particle swarm optimization algorithm based on dynamic change of inertia weight. By testing a number of functions with complex constraints and compared with several other algorithms to verify the feasibility and effectiveness of this improved algorithm functions for dealing with non-convex nonlinear multiple constraints.( 2) Start analyzing from the initial traditional power system model, and then introduce the wind farm and further analysis of economic dispatch of power system of wind power grid. According to the results of previous studies of people, A dynamic economic dispatch model is established, which is based on the constraint of valve point effect, positive and negative rotation reserve, wind speed prediction error and load forecasting error.(3)Finally, according to the improved algorithm proposed in this paper, aimed at optimization solutions for dynamic economic load scheduling problems including windpower grid. And verify the feasibility of the model and the improved algorithm is effective, and by contrast with some reference algorithm is applied to the model for solving the contrast, further validation of the superiority of this algorithm.