Method for computing wind power bearing capability of power grid

Abstract

The invention discloses a method for computing wind power bearing capability of a power grid, relates to operation optimized analysis of wind power plants, and aims at negative factors of wind power integrated grids to provide a method for computing a network-adaptive wind power bearing capability. The method for computing the wind power bearing capability of the power grid is characterized by includes the steps of firstly establishing two mathematical models including Pbalance1=Pload+Ploss+PGuse-Pspin-PGlow and Pbalance2=Ptran+PGadj to respectively compute local power demand and the wind power bearing capability determined by pitch peaks of the power grid, combing a local power grid running load curve with a future load predicting result, and a history wind power output curve with wind power planning capacity to obtain daily, monthly and annually bearable wind power capability in future years of the local power grid; at the same time, establishing an actual power grid simulating system for closed-loop tests including real-time steady load flow calculation, voltage fluctuation and transient stability and the like so as to verify whether the computation results obtained from the mathematical models meet actual running requirements of the power grid or not; adopting on yes, and modifying on not. The wind power plant can be guaranteed to be optimally comprehensively adjusted with other power sources, thus the wind power plant can run in a better network-adaptive mode, and power supply quality and safety and stability of power grid can be guaranteed.

Description

Technical field [0001] The present invention relates to the optimization analysis of power grids, in particular to the operation optimization analysis of wind farms. Background technique [0002] The requirements of the international situation of environmental protection and low carbon have promoted the rapid growth of wind power installed capacity, and the proportion of the total installed capacity of the power grid has continued to increase. However, due to the intermittent, random, and high volatility characteristics of wind power grid connection, it is often impossible to follow the grid and Users need to generate power normally. In order to change this state, wind farms must be optimized and comprehensively adjusted together with other power sources to better perform grid-fitting operation and ensure the quality of power supply and the safety and stability of the grid. Therefore, the amount of wind power output and the control of the degree of consumption of its output by th...

AI Technical Summary

Problems solved by technology

[0002] The requirements of the international situation of environmental protection and low carbon have promoted the rapid growth of wind power installed capacity, and the proportion of the total installed capacity of the power grid has continued to increase. Users need normal power generation. In order to change this state, the wind farm must be optimized and comprehensively adjusted together with other power sources in order to better perform grid-adaptive operation and ensure the quality of power supply and the safety and stability of the grid.

Images