Abstract

In recent years, renewable energy such as wind power has developed rapidly, but due to the limited capacity of the local power grids to accept wind power, there have been wind farms of different sizes in the areas where wind power has been enriched during the winter heating season. Of the factors affecting the ability of the grid to accept wind power, peak-shaving capacity is one of the most important constraints, and it is also a major problem faced by large-scale wind power system dispatching operations. Due to the natural conditions of wind distribution in various regions of China, the area built by wind turbines is relatively concentrated and the power transmission capacity of the grid is subject to new challenges. In addition, the northern winter heating units must operate day and night, the system's peak capacity is limited. However, the output of wind power during the period of underestimation of load is relatively high, and the peak load pressure caused by the system becomes more and more prominent, resulting in a large amount of wind power being unable to be locally consumed. Under the current policy of fully purchasing renewable energy and energy-saving power generation dispatching policies, what kind of economic incentives are adopted to promote large-scale wind power consumption; what kind of dispatching model can guarantee the safe and efficient operation of wind power-containing power systems, and improve the acceptance of wind power Capacity; There are few studies on the impact of energy storage systems under different dispatch modes on system economics and wind power acceptance. In view of this, the dissertation investigates the problems caused by large-scale wind power grid connection and its feasible solutions, and proposes a corresponding dispatching model to promote large-scale wind power consumption from the perspective of joint operation of wind and storage to promote the localization of wind power. The impact of different operating modes and capacities of the energy storage system on the wind power acceptance capacity of the grid was analyzed.

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