Abstract: With the continuous and rapid development of power grid construction, the risk factors that affect the quality of the power grid are increasing. There is potential safety hazard in the quality of power grids. Power grid enterprises desire low-cost access to good quality equipment, but cheap and high quality is a contradiction, the lowest bidder can save a lot of procurement funds, but also lead to poor equipment, operation and maintenance costs, higher contract default risk . This paper conducts a cluster analysis on the historical data of the procurement of power grid enterprises, and dynamically simulates the procurement costs of typical materials according to the prices of key raw materials and important components. Equipment suppliers who supply at or below the dynamic cost will be set as the targets of risk identification and focus monitoring. This risk identification method is superior to the original material quality supervision methods, the efficiency and effectiveness have been significantly improved. In addition, the accounting of the cost of procurement of power grid materials can be used to set the benchmark bidding for material procurement, to avoid the risk of price deviation from the reasonable price. This paper builds the linkage mechanism between the purchase cost and the market price of the grid. When the prices of raw materials or important components fluctuate more than the preset amplitude, the price adjustment will be conducted in time so that the suppliers will not passively violate the price inversion. At the same time, the price linkage mechanism can also match the procurement cost of the power grid with the market price, enhance the responsiveness of material procurement flexibility and market price changes, reduce the risk of material contract default and promote the healthy development of the grid material procurement market.