Research On Large-scale And Centralized Grid Integration Planning Of Renewable Energy Sources

With the global energy crisis and environmental pollution becoming increasingly prominent, exploitation and utilization of renewable energy has become an inevitable choice for social and economic sustainable development. Because the proportion of thermal power is too large, the generation structure of China is unreasonable for a long period. Developing wind power generation and photovoltaic power generation is an important strategy to change energy structure and improve the environment of China.Abundant natural resources of China and its geographical distribution make wind power and photovoltaic power generation have enormous potential of centralized development and utilization. With wind power and photovoltaic power generation large-scale and centralized integrated to the power system, their randomness, undulation, anti-peak shaving and other characteristics will cause the voltage fluctuations, flicker, harmonics problems and other issues of power system, affect the power quality and stability of power grid, need to set aside more reserve capacity or peak regulating capacity to the grid and bring some security risks. Based on the two typical renewable energy generation technologies, analysis their characteristics of large-scale and centralized integrated to the power system, research their planning methods, and provide a theoretical basis for security, stability and economic operation of power system.Firstly, stochastic simulate the randomness of the wind speed and light intensity with Monte Carlo simulation technology, and establish the random output model of wind farms and photovoltaic power stations. According to their specific output characteristics, make improvements to the power flow calculation, so that it can adapt to the power system contains renewable energy generation nodes. Secondly, by carrying out the theoretical basis for renewable energy planning analysis, build the integration capacity and integration point optimization model and reactive power compensation optimization model of wind power and photovoltaic power generation large-scale and centralized grid-integration. Differential evolution algorithm for multi-objective problem is proposed with improving Pareto optimal solutions. TOPSIS method and information entropy method is used to figure out the objective attribute decision of multiple optimizations. Finally, based on MATLAB, integration capacity and integration point optimization model and reactive power compensation optimization model calculation of actual problem is carried out to verify the accuracy of the planning model and solution methods.