Research On Optimal Dispatching Method Of Wind Power And Gas Power Complementary System

Wind energy is a kind of renewable energy with abundant sources,green low-carbon and wide application.However,due to the random,intermittent and uncontrollable wind speed variation,the wind power output is very unstable.Directly connecting this unstable energy to the power grid will inevitably cause instability of the power grid,because the characteristics of wind energy are unavoidable.If you want to make better use of wind energy,the combination of wind power with other energy sources can effectively solve the above problem.This system of complementary wind energy and other energy sources allows each energy source to learn from each other and make full use of wind energy to ensure wind power output while reducing the unstable characteristics of wind power output.Small gas generators have the advantages of high power generation quality and fast startup speed,which are highly compatible with the needs of wind power complementary systems.The formed complementary systems can not only increase the consumption rate of wind power,but also make the output of wind farms safe,stable and high-quality power.To sum up,in order to solve the instability of wind power output,increase the consumption rate of wind power and the economy of wind farms,this paper establishes a mathematical model of the complementary system of wind power generation and gas power generation.The output of the complementary system is set to a constant value,the wind power generation is the main,and the gas power generation is the auxiliary as the complementary model operation mode.Considering the interaction cost between the system and the external energy source,the maintenance cost of the equipment and the operation constraints of each equipment in the complementary power generation system,an economical mixed integer nonlinear programming model(MINLP)of wind power generation and gas power generation complementary system is constructed.Then,the short-term wind speed characteristics of the wind farm are modeled,and models based on long short-term memory neural network(LSTM),extreme learning machine(ELM),and support vector regression(SVR)are established,and simulation experiments are carried out according to historical wind speed data,and short-term wind speed data were predicted.Secondly,aiming at the problems of nonlinearity and high-level decision variables in the mixed-integer nonlinear programming model of wind power and gas power complementary systems aiming at the optimal economy,the predicted wind power and actual wind power are respectively used as the system input data.And solve the model.Finally,the information gap decision-making theory(IGDT)is used to deal with the uncertainty of wind power output,and a dispatching model of wind power and gas power complementary systems based on IGDT is constructed.The simulation results prove that the established dispatch model can obtain the uncertainty of wind power output under the condition of the set expected dispatch cost,so that different dispatch decision makers can obtain the corresponding fluctuation range of wind power output,and reasonably allocate the output of gas-fired units.While obtaining the tolerance of the system to uncertainty,the complementary system can always maintain a stable operation state and output highquality power.