电网企业运营绩效评价及预警机制研究

发布时间：2018-05-17 04:28

本文选题：电网企业 + 运营绩效评价　；参考：《华北电力大学》2015年硕士论文

【摘要】：随着电力大数据时代的到来,电网运行管理数据呈现出了数量大、类型多、准确性高、价值高等特点,并服务于电网企业经营管理、营销管理、生产运行以及抗击灾害等方面,给电网企业的运营发展带来了新的机遇和挑战；为电力资源的优化配置、能效水平的提高以及电网企业的优质服务提供了强大的数据基础及提升空间。因此,利用电力大数据对电网企业运营和预警管理进行改革,通过统一电网企业评价指标体系和评价标准,加强电网企业运营水平的横向对比和纵向比较,加强运营指标的预警管理,完善电网企业运营绩效评价管理和预警管理工作,进而提高电网企业整体运营管理水平,对电网企业的运营发展具有重要的理论和现实意义。本文针对电网企业运营绩效评价体系以及预警管理进行了深入的研究。首先,简要分析了大数据背景下我国电网企业运营绩效管理和预警管理工作的发展现状及趋势。其次,确定了电网企业运营绩效评价指标体系的设计思路、指标处理的方法以及以层次分析法和熵权法相结合的主客观赋权方法,从价值创造、企业发展、运营效率和客户服务等四个维度构建了电网企业运营绩效综合评价指标体系。然后,基于上述方法的确定,运用改进的物元可拓模型对某省五市电网企业进行运营绩效评价实证分析,证明了所建模型的适用性及有效性；最后,结合综合评价指标体系,构建了以价值维度关键指标预测预警为目标的电网企业运营预警管理系统,并通过实证研究证明了该预警管理系统能够应用于寻找关键指标的驱动因素、分析指标的相关性,进而及时有效发现运营管理中的薄弱环节,促进电网企业运营和预警管理工作。
[Abstract]:With the arrival of the era of big data, the data of power grid operation and management are characterized by large quantity, many types, high accuracy, high value and so on. They also serve the management, marketing management, production and operation of power grid enterprises, as well as the fight against disasters and so on. It brings new opportunities and challenges to the operation and development of power grid enterprises, and provides a strong data base and space for the optimization of power resources allocation, the improvement of energy efficiency level and the quality service of power grid enterprises. Therefore, power big data is used to reform the operation and early warning management of power grid enterprises. By unifying the evaluation index system and evaluation standard of power grid enterprises, the horizontal and vertical comparison of the operation level of power grid enterprises is strengthened. It is of great theoretical and practical significance to strengthen the early warning management of operation indicators, improve the performance evaluation and early warning management of power grid enterprises, and improve the overall operation and management level of power grid enterprises, which is of great theoretical and practical significance to the operation and development of power grid enterprises. In this paper, the performance evaluation system and early warning management of power grid enterprises are studied. Firstly, the development status and trend of performance management and early warning management of power grid enterprises in China under the background of big data are briefly analyzed. Secondly, it determines the design idea of performance evaluation index system of power grid enterprises, the method of index processing and the subjective and objective weighting method combining analytic hierarchy process and entropy weight method to create the value and develop the enterprise. Operation efficiency and customer service are four dimensions to construct a comprehensive evaluation index system of grid enterprise operating performance. Then, based on the above method, using the improved matter-element extension model to evaluate the operation performance of power grid enterprises in five cities of a province, it proves the applicability and effectiveness of the model. Finally, combined with the comprehensive evaluation index system, This paper constructs an early warning management system of power grid enterprise operation based on the value dimension key index prediction and early warning, and proves that the early warning management system can be applied to find the driving factors of the key indicators and analyze the correlation of the indicators through the empirical research. Furthermore, the weak links in operation management are found in time and effectively, and the operation and early warning management of power grid enterprises are promoted.
【学位授予单位】：华北电力大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：F426.61

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