Digital transformation has triggered a profound change in the power industry, and power grid enterprises have ushered in brand-new opportunities and challenges. Based on the construction of automatic operation management and control platform, this paper discusses the far-reaching influence of digital transformation on the operation and management of power grid enterprises. Through the comprehensive use of real-time monitoring, intelligent dispatching, predictive maintenance and other advanced technical means, the digital, intelligent and sustainable development of power system operation has been realized. Firstly, this paper analyzes the background of digital transformation and the challenges faced by the power industry, and emphasizes the urgency of building an automatic operation control platform. Subsequently, the key functions of the platform are introduced in detail, including real-time monitoring of power system status, intelligent dispatching of power equipment, predictive maintenance of key equipment, etc., which provides all-round operational support for power grid enterprises. In the process of implementation, this paper adopts a systematic method, including requirements analysis, technology selection, system design, development and integration, testing and optimization, deployment and training. Through case analysis, it shows the successful implementation of the automation operation management and control platform of power grid enterprises, and presents remarkable achievements in improving operational efficiency, reducing costs and optimizing resources. The analysis of results and benefits shows that the implementation of the automatic operation management and control platform has brought about significant improvement in operational efficiency, cost reduction, resource optimization and service quality. Through digital transformation, power grid enterprises have successfully responded to market changes, improved their competitiveness and laid a solid foundation for sustainable development. This research has guiding significance for the sustainable development of power industry in the digital age.

针对当前电网数据集市海量信息索引未考虑排序处理数据信息,导致系统检索效率和查全率低,稳定性差的问题,提出考虑哈希索引的电网数据集市海量信息索引系统设计方法.该系统聚类融合处理数据信息,根据关联规则挖掘结果提取与检索数据,结合哈希算法排序融合电网数据信息.该系统采用B/S三层体系,将其分为表示层、功能层和数据层,从而实现了系统的功能模块的设计,完成电网数据集市海量信息索引系统设计.实验结果表明,该系统设计方法的检索效率和查全率更高,稳定性更好.

In order to understand the application performance of text mining technology in power enterprise complaint work order, this paper analyzes. Firstly, the text mining technology is summarized, and the basic principle of this technology is described. Secondly, the construction method of the work order text mining model is analyzed. Finally, the validity of the model is verified by a case. The results show that text mining technology can analyze the complaint work orders of power enterprises and then classify all work orders according to the analysis results, which is conducive to manual work and plays a role in improving work efficiency. At the same time, the application of text mining technology model in this paper is effective and has a certain application value. Because of the large number of modern power users, the number of complaint work orders increases, so the traditional labor is difficult to deal with all complaint work orders efficiently, and text mining technology can break through the limitations of labor and improve the status of complaint work orders.

探讨跨领域数据融合（cross-regional data fusion, CRDF）的电网客户之间的谱图结构。为了促进实现用户关系的智能化识别，提出一种基于跨域数据融合的电网企业客户关系图谱。抽取其中的特征数据，并对数据与用户间的关系进行优化，以提高电网企业用户关系计算的有效性。MATLAB仿真的分析结果显示，数据的简化率控制在35%以上，融合程度90%以上，客户关系图谱构建控制在50 s内。客户关系图谱方法可以满足电网智能化发展的需要，提高用户关系分析的有效性。

综合管理指标选取较为简单容易导致综合管理效率评估性能较差,故提出省级电网公司综合管理复杂性指标评估系统设计.综合管理指标体系构建包括管理指标体系构建,管理指标权重确定,管理效率评估三大模块.首先通过选取坚强性、可靠性、经济性、环保性、互动性与高效性指标构建了综合管理指标体系,其次通过线性加权主观与客观权重确定指标权重,最后采用柯布—道格拉斯生产函数评估电网公司综合管理效率.上述软件模块实现了省级电网公司综合管理指标复杂性评估系统的运行.实验结果显示:设计系统综合管理技术效率与配置效率与标准数值误差均小于0.05,充分表明设计系统具备可行性.

针对主数据的科学识别,通过设计识别工作流程,对识别评判标准的量化分析,解决以往业务人员对主数据定义理解的不一致而造成的主数据识别分歧与风险.通过对某大型电网企业主数据应用现状进行调研,结合企业实际业务条件,设计符合企业运行的主数据识别工作流程,分清责任实体,做到数据谁生产、谁识别、谁维护.再根据业界流行的分析方法,设计出符合需求的主数据量化识别模式,准确科学地识别企业内部的主数据,从而达到解决业务分歧与风险的效果.

针对当前电网行业产生的海量数据,提出采用规范化元数据管理等方式来实现对电力行业数据的统一存储与管理方案.首先通过数据预处理,将不同格式的电力数据统一转换为XML格式数据,然后采用中间件技术实现对XML数据抽取与访问;其次,针对大规模数据存储问题,提出基于哈希分桶算法对数据进行存储,以提高数据存储的效率;再次采用MapRe-duce框架对数据进行查询;通过对电力行业的部分数据进行查询试验,结果表明在查询时间方面,具有优势.

针对微电网故障分类和定位问题,文中提出了一种基于离散正交Stockwell变换(DOST)优化多核极限学习机(MKELM)的微电网智能故障分类与定位识别方法.利用DOST从微电网发送端继电器中获取故障后电流信号的一个周期,提取有用的统计特征进行标准化处理并将其作为MKELM的输入,结合遗传算法(GA)确定MKELM的最优参数.在微电网测试系统中测试了所提出方法在不同运行条件和故障情况下的性能,测试结果验证了该方法在高性能微电网中对任何类型的故障进行分类和定位的有效性.与传统的核极限学习机(KELM)和支持向量机(SVM)方法相比,所提出的方法具有更高的性能,并且对测量噪声保持较高的鲁棒性.

由于信息技术的发展,电力企业有了更多的数据资产.数据资产管理对于电力企业的发展体现出多方面的推动作用,但是当前部分电力企业受管理模式、技术水平、应用能力的限制,数据资产没有加以监控,数据资产难以发挥应有价值.电力企业结合数据资产管理的特征,分析数据资产管理现状,建立数据资产监控体系,以提升数据资产管理的效果,以提高电数据资产管理水平,数据化运营创造基础条件.

2017-2018年广东电网针对内部数据质量问题,按照"发现问题、发布问题、提供治理指引及工具、及时治理"的数据治理思路,建立了规范化的管理制度,主动管控数据全生命周期的质量问题;建立了全方位发现问题数据的方法,依托认责矩阵和标准固化数据质量规则,建立端到端的分析及定位问题数据的平台,自动化分层校验数据,发现问题数据,并定位问题责任人,建立各个业务系统的数据治理工具,由问题责任人负责整改,实现问题数据端到端整改,为公司数据治理提供了高效的整改方法和工具.

How to make the users be able to access these Internet Protocol Version 6(IPv6) resources conveniently, and how to manage the network resources effectively become urgent problems to solve. This paper focuses on the operating mechanism and the implementation method of Netfilter, configuration tool iptables, Network Address Port Translation-Protocol Translation(NAPT-PT) technique and means of Linux kernel module programming, introduces the overall design goal and design plans, describes the development environment, and explains how these modules are designed. Finally, based on the division principle of modules, it illustrates the function, implementation principle and process of each module.