基于数据挖掘的电网企业同业对标研究

发布时间：2018-04-23 00:36

本文选题：数据挖掘 + 聚类算法　；参考：《华北电力大学》2014年硕士论文

【摘要】：“十二五”期间,随着我国经济和社会的可持续发展,全社会的用电量持续增加,电网企业的规模也日益扩大,电力行业进入快速发展期,预计全国发电装机容量将增加近5亿千瓦,全社会用电量将增加2万亿千瓦时。我国电力市场化改革后,发电侧和售电侧都不同程度地引入市场化竞争,电网企业面临的外部环境更加复杂,竞争压力更大,企业现行的运营机制和管理体制已难以满足电网快速发展的要求。为了实现我国电网企业的跨越式战略发展,电网企业的同业对标管理成为最有用的管理工具之一。对标管理,作为动态的过程管理方式,通过向行业领先的企业或机构学习,对照其管理方式和经营业绩,找出本企业与标杆企业的差距所在,制定符合企业实际情况的改进措施,并落实到具体部门和工作中,从而提高企业的发展水平和市场竞争力。随着世界经济一体化速度的加快,我国的电网企业不仅面临着国内的同业竞争,还面临越来越多的国际竞争,为了进一步减小我国企业与西方发达国家之间的差距,同业对标管理将成为企业提高自身综合竞争能力和国际市场占有率的有效手段之一。本文首先研究我国电网企业的对标管理现状,通过对标管理的开展现状和基本架构的分析,提出我国电网企业对标管理存在的问题；其次,针对现有对标管理存在的问题,并且结合国家电网公司“一强三优”的发展战略,从电网发展、资产质量、供电服务、经营业绩四个方面构建新型电网企业同业对标指标体系；再次,研究同业对标的数据挖掘算法,重点研究引力搜索和K-means算法相结合的混合聚类算法在电网企业同业对标中的应用,并通过实际电力公司的对标验证该算法的有效性和可行性；最后,基于同业对标结果提出相应的对标评分和考评模式,为电网企业的经营发展提供决策支持。
[Abstract]:During the 12th Five-Year Plan period, with the sustainable development of China's economy and society, the electricity consumption of the whole society continues to increase, the scale of power grid enterprises is also expanding day by day, and the electric power industry has entered a period of rapid development. It is expected that the national power generation capacity will increase by nearly 500 million kilowatts and the power consumption of the whole society will increase by 2 trillion kilowatt-hours. After the reform of electricity market in our country, both the generation side and the selling side introduce market-oriented competition to varying degrees, and the external environment of power grid enterprises is more complex and the competition pressure is greater. The current operation mechanism and management system of enterprises have been difficult to meet the requirements of rapid development of power grid. In order to realize the leap-forward strategic development of power grid enterprises, the management of interbank bidding of power grid enterprises has become one of the most useful management tools. Standard management, as a dynamic process management method, by learning from leading enterprises or institutions in the industry, comparing their management methods and operating performance, to find out the gap between the enterprises and benchmark enterprises, To make the improvement measures in line with the actual situation of the enterprise, and implement them into the specific departments and work, so as to improve the level of development and market competitiveness of the enterprise. With the acceleration of the integration of the world economy, the power grid enterprises in our country are facing not only domestic competition, but also more and more international competition. In order to further reduce the gap between Chinese enterprises and western developed countries, The management of interbank bidding will become one of the effective means for enterprises to improve their comprehensive competitive ability and international market share. This paper first studies the current situation of the standard management of the power grid enterprises in China, through the analysis of the status quo and basic framework of the standard management, puts forward the existing problems of the standard management of the power grid enterprises in China; secondly, aiming at the existing problems in the management of the standard management, And combined with the development strategy of "one strong and three excellent" of State Grid Company, from four aspects of power grid development, asset quality, power supply service, operating performance to build a new type of power grid enterprise peer bidding index system; third, In this paper, the data mining algorithm of interbank pairs is studied, and the application of hybrid clustering algorithm, which combines Gravity search and K-means algorithm, is studied. The validity and feasibility of the algorithm are verified by the actual power companies. Finally, based on the results of peer bidding, a corresponding evaluation model is proposed to provide decision support for the management and development of power grid enterprises.
【学位授予单位】：华北电力大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：F426.61

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