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全球低碳化进程方兴未艾,低碳电力的发展模式与技术方案层出不穷,亟须对其生产运营效率进行准确评价。文中提出一种以低碳电力效率指数为核心的低碳电力生产效率评估新思路。在超效率数据包络分析(DEA)的基础上,充分考虑模型非径向松弛变量带来的非期望产出误差以及低碳评价指标间的信息交叠,利用主成分分析法对超效率DEA模型进行改进,并引入低碳投入偏好因子与低碳投入主成分,重构DEA优化模型目标函数以提高模型精度。最后通过具体算例完成不同省(市)间低碳电力生产效率水平测算、综合评价、模型对比及参数灵敏度分析,从而验证了评估模型的有效性和准确性。
The process of global low carbonization is in the ascendant. The development mode and technical scheme of low-carbon electric power emerge in an endless stream, and it is urgent to make an accurate appraisal on the production and operation efficiency of low carbon power. In this paper, a new idea of low carbon electricity production efficiency evaluation with low carbon power efficiency index as the core is proposed. On the basis of DEA (DEA), the non-expected output error caused by non-radial slack variables in the model and the information overlap between low-carbon evaluation indexes are fully considered. The principal component analysis (DEA) The model is improved, and the low carbon input preference factor and low carbon input principal component are introduced to reconstruct the objective function of DEA optimization model to improve the model accuracy. Finally, the calculation of low-carbon power generation efficiency level, comprehensive evaluation, model comparison and parameter sensitivity analysis among different provinces (municipalities) were completed through concrete examples to verify the validity and accuracy of the assessment model.