Wind-Solar Complementary Generation System In Smart Grid Research On Optimal Scheduling

Wind power generation and solar power generation are characterized by large dynamic variation and strong randomness of power generation.When these two new energy sources generate electricity independently,it is difficult to provide continuous and stable power to the grid.With the increasing proportion of wind and solar power generation and the rapid development of smart grid,the use of wind-solar complementary combined power generation mode can achieve continuous and stable power supply to the grid,and also effectively improve the adaptability of China's grid to new energy access.By analyzing the output characteristics of renewable energy and considering the shortcomings of large-scale grid-connected,the collaborative dispatching of wind-solar complementary power generation system in smart grid was studied.The main contents of the research were divided into two aspects:power forecasting and collaborative dispatching.Large-scale wind power centralized grid-connection and long-distance transmission have a great impact on the power system.By studying the variation of historical wind power output and combining with meteorological factors such as wind speed(v),humidity(H),wind direction and temperature(T),a PSO-BP wind power output prediction model was established.The feasibility of PSO-BP model has been verified by practical examples.The rule of change historical photovoltaic power was studied.Combined with the historical photovoltaic power data and meteorological factors such as temperature(T)and irradiance(G),the GA-BP photovoltaic power prediction model was established.The validity of the GA-BP photovoltaic power prediction model has been verified by the simulation of an example with Matlab.This paper analyses the law of historical load variation of power grid,establishes Elman neural network power load forecasting model,and verifies the rationality of Elman neural network power load forecasting model through numerical simulation.Based on the need of energy saving and emission reduction in China,combined with the advantages of wind and solar power generation,this research studies the coordinated dispatching of wind-solar complementary combined power generation system in smart grid.Considering economy and power supply reliability,the cost function and reliability function of wind-photovoltaic complementary power generation system has been determined.Combined with a series of constraints,a multi-objective coordinated dispatching model of wind-photovoltaic complementary power generation system has been established.The model was solved by using the NSGA-? algorithm.The simulation results show the effectiveness of the NSGA-? algorithm.