Research and application of evaluation model of power grid investment elements based on knowledge graph

Journal Information

J. Hefei Univ. Tech. (Nat. Sci.), Jul.2024, Vol.47 No.7: 957-961

DOI: 10.3969/j.issn.1003-5060.2024.07.015

Authors

YANG Fangfang $ ^{1} $, HE Ju $ ^{2} $, SUN Wenbing $ ^{2} $, HU Cheng'en $ ^{2} $, DENG Huaxia $ ^{1} $

(1. School of Instrument Science and Opto-electronics Engineering, Hefei University of Technology, Hefei 230009, China; 2. Anqing Power Supply Company, State Grid Anhui Electric Power Co., Ltd., Anqing 246001, China)

Abstract and Keywords

Abstract: This paper researches the impact of uncertain factors such as environment, economy, policy and technology on the power grid investment decision-making. The necessity of investment is evaluated based on the standard net present value (NPV), internal rate of return (IRR) and static payback period from an economic perspective. The method of fuzzy analytic hierarchy process is presented to analyze the weight of the main factors affecting investment. Meanwhile, the importance of uncertain factors for investment is revealed. Thus, the profit and loss can be more comprehensively predicted in the process of investment. The knowledge graph is utilized to visually sort the various factors. The proposed model can extract information and update data dynamically to ensure the reliability. Case analysis shows that the method with the combination of fuzzy analytic hierarchy process and knowledge graph can effectively predict uncertain factors and ensure the accuracy of investment decision-making, which is an effective method for predicting uncertain factors in power grid investment.

Keywords: fuzzy evaluation; analytic hierarchy process; knowledge graph; visualization

作者信息

杨芳芳 $ ^{1} $，何飓 $ ^{2} $，孙文兵 $ ^{2} $，胡成恩 $ ^{2} $，邓华夏 $ ^{1} $

(1. 合肥工业大学仪器科学与光电工程学院，安徽合肥 230009；2. 国网安徽省电力有限公司安庆供电公司，安徽安庆 246001)

摘要和关键词

摘要: 文章研究电网投资决策模型, 考虑环境、经济、政策和技术等各种不确定条件影响。根据经济学投资的标准净现值、内部收益率和静态回收期评判投资的必要性。利用模糊层次分析的方法, 对影响投资的主要因素进行权重分析, 同时进一步说明不确定因素对投资的重要程度, 从而在考虑投资的过程中可以更加全面地预测盈亏。利用知识图谱的方式将各因素进行可视化的系统排序, 便于模型在以后的利用中能够动态提取信息和更新数据, 保证模型的可靠性。案例分析表明, 利用模糊层次分析和知识图谱相结合的方法可以有效预测不确定因素, 并且保证投资决策的准确性, 是一种适合电网投资预测不确定因素的有效方法。

关键词: 模糊评价；层次分析；知识图谱；可视化

Funding

安徽省自然科学基金资助项目（1908085J15）；国网供电公司科技（群创）资助项目（SGAHAQOOFZJS2000274）

合肥工业大学学报(自然科学版)

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