预测100KVA主变压器履约价格模型数据

100KVA主变压器的铜材约占总成本的55%左右，硅钢片约占总成本的35%左右，因此，电力变压器的价格需与原材料铜、硅钢片进行联动。该方法通过获取原材料铜、硅钢片价格的波动情况，按价格联动系数公式确定各个原材料的价格联动系数，并结合履约价格方程及联动系数对主变压器的履约价格进行预测。这种方法能够结合原材料铜、硅钢片价格趋势、价格联动系数对主变压器的履约价格进行预测，避免了主变压器履约价格与当前市场价格匹配度不高的问题，保障电网运行物资供应。根据价格联动系数公式（价格联动系数=该材料的相关因素变动量/该材料价格的变动量，变动量以中标日和履约前半年两个时间点的变化量绝对值）确定各个原材料的价格联动系数k1和k2，其中k1为铜的价格联动系数；k2为硅钢片的价格联动系数。再结合履约价格方程及联动系数对主变压器的履约价格进行预测，履约价格P1=P0+k1×（B1-A1）+k2×（B2-A2），其中：P0为招标时的中标单价；A1为中标时铜收盘日均价，A2为中标时硅钢片收盘日均价；B1为履约前半年铜收盘日均价，B2为履约前半年硅钢片收盘日均价。4.数据应用：通过计算得出主变压器的履约价格P1，再与100KVA主变压器当前的市场价格P2相比，如若0.85≤P1/P2≤1.1，则评价为匹配度高，否则匹配度评价为低。

For a 100KVA main transformer, copper materials account for approximately 55% of the total cost, while silicon steel sheets make up roughly 35%. Thus, the pricing of power transformers must be linked to the raw materials copper and silicon steel sheets. This method acquires price fluctuations of copper and silicon steel sheets, determines the price linkage coefficients for each raw material via the price linkage coefficient formula, and combines the performance price equation and these coefficients to predict the performance price of the main transformer. This approach can predict the performance price of the main transformer based on the price trends of copper and silicon steel sheets and the price linkage coefficients, eliminating the issue of poor matching between the main transformer's performance price and current market prices, and ensuring the supply of materials for power grid operations. The price linkage coefficients k1 and k2 for each raw material are determined using the price linkage coefficient formula: Price linkage coefficient = (absolute value of the change in the material's relevant factors) / (absolute value of the change in the material's price), where the change is calculated as the absolute difference between the bid date and six months prior to performance. Here, k1 is the price linkage coefficient for copper, and k2 is that for silicon steel sheets. The performance price P1 is calculated as: P1 = P0 + k1 × (B1 - A1) + k2 × (B2 - A2), where: P0 is the bid unit price at the time of tendering; A1 is the closing daily average price of copper on the bid date, and A2 is the closing daily average price of silicon steel sheets on the bid date; B1 is the closing daily average price of copper six months before performance, and B2 is the closing daily average price of silicon steel sheets six months before performance. 4. Data Application: Calculate the performance price P1 of the main transformer, then compare it with the current market price P2 of the 100KVA main transformer. If 0.85 ≤ P1/P2 ≤ 1.1, the matching degree is rated as high; otherwise, the matching degree is rated as low.