Research on Collaborative Forecasting in Grid-Connected Wind Power System

摘要

Proportion of grid-connected renewable energy power generation in the micro-grid system keeps increasing year by year, however, renewable energy power generation has a strong intermittency and volatility, which may bring some adverse effects on the power grid and affect the power quality to a certain extent. Meanwhile, it will also reduce the reliability of system scheduling operation, increase the operating cost of the system. Improving the power forecasting and load forecasting ability of renewable energy power generation, solving a reasonable power system scheduling optimization model of grid-connected renewable energy power generation can improve the utilization of renewable energy, reduce the effect of micro-grid system on the grid. Firstly analyze different power generation forecasting methods of green renewable energy, secondly compare different load forecasting methods. Then present situation of subject related application technology at home and aboard are introduced in details, finally summarize the research status of micro-grid system, discuss the existing issue of current research, and look forward to the future of research direction.