由于传统负载均衡方法不能处理大规模的申请访问,集群系统负载不均衡,需要研究基于电力虚拟集群服务器的负载均衡方法.通过Linux虚拟服务,在IP层运用负载均衡方法接收和分发电力信息;结合二叉树算法对虚拟集群负载值展开排序,依次轮询服务器判断负载状态,从而使服务器集群系统达到负载均衡.实验结果表明,在并发请求数达到1000个时,文章提出的电力虚拟集群服务器负载均衡方法的响应时间最短,提高了网络处理效率,实现了负载平衡.

本文利用I EC国际电力模型标准,通过"云大物移智"等数字化技术,针对"发—输—变—配—用"各电压等级、各业务域数据,通过唯一数据编码系统源,实现数据横向贯通,构建统一的电网资源设备模型维护入口,实现发输变配图模多源异构数据的高度融合.

In order to reduce the cost of grid dispatching and increase the transparency of energy transactions, the distributed energy transaction model based on blockchain is constructed. At the same time, in order to improve the high communication overhead and low throughput of the traditional PBFT algorithm in the consortium blockchain, an efficient Byzantine fault-tolerant consensus mechanism (DE-BFT) for the energy blockchain is designed. The algorithm improves from two aspect: node election and main chain consensus. In the stage of node election, the model uses a health score evaluation and a verifiable random function to improve the security and randomness of node selection. In the stage of main chain consensus, the efficient data consistency interaction protocol decreases the complexity of the communications between nodes, down to a constant term level from exponential one. The result shows that, compared with other consensus algorithm, the DE-BFT algorithm performs better in terms of consensus delay, communication overhead, throughput, and consensus node reliability.

In the era of big data, the value of data is infinite. With the development of the Internet of Things, everything is interconnected, and the sharing and circulation of data are particularly important. This paper was aimed at studying the data sharing system based on blockchain and big data technology. Based on blockchain and big data technology, this paper proposes a data-sharing system based on an HDFS file system. And it strengthens the security of data sharing based on blockchain technology, proposes a security key for industrial data, and greatly upgrades the security of data sharing. Experiments in this paper have proved that the data-sharing system in this paper has strong robustness, and choosing the appropriate k and n can take into account both the computational overhead and security, such as (3, 5), (5, 10), and (6, 10).

为实现电力综合管控的智能化处理,设计了一种电力行业智能化综合管控系统.系统由多个模块构成,其中管控中心模块由控制中心、通信网络、管控软件构成.在线监测模块通过前置CAC模块实施数据接入,实现各种监测装置的初步数据分析、信息汇总、规约转换等功能.在前置CAC模块中,通过光纤接入各种监测装置.场景三维可视化模块可以实现电力行业变电站等场景的可视化三维展示在前置CAC模块中,通过光纤接入各种监测装置.数据预处理模块主要结合神经网络和粗糙集进行数据的预处理,设计了一种基于神经网络和粗糙集的数据预处理算法,通过应用设计算法即可实现电力行业数据的预处理.选取某地区对设计的系统进行了现场应用与测试.测试结果表明系统的数据预处理性能良好,反应速度较高,执行各种操作的QPS、TPS数值都较高即吞吐量整体较高.表明系统能够满足电力行业数据量庞大情况下的应用需求.

The demand side management of power consumption is one of the most important components in fulfilling the promise of smart grid. In such context, the smart metering, monitoring and control terminals close to the customers effectively serve as the devices and components for the implementation of smart functionalities. Currently, to effectively support the operation of energy Internet system and services, the ubiquitous electric power Internet of Things ( IoT) that forms a flexible electricity energy allocation and management platform is proposed and developed for promoting the development of integrated diverse energy services and new businesses. This paper presents the demand-side ubiquitous power Internet of Things architecture and key technologies as well as the requirements. In conclusion, the IoT enabled infrastructure can significantly improve the system performance in the future for power utilities.

边缘计算技术的应用为解决云服务计算负载拥堵过重的问题提供了一种新思路.为此,对传统集中器进行改进,设计了新型智能集中器,使其具备边缘计算功能.新型智能集中器在保留传统集中器功能的基础上,从嵌入式和模块化方向入手,融合边缘计算的功能,构建核心计算处理模块、通信接口模块以及LTE/5G等硬件模块,构建软件容器引擎技术,建立通用软件架构,实现智能集中器的软硬件解耦.软件平台独立于硬件平台发展,满足日益增长的电网侧和用户侧需求,助力计量自动化向计量智能化发展.

Concentrators play an important relay role in the power metering of the power internet of things. In order to realize the transformation of power metering automation to intelligence, this paper proposes a class of intelligent concentrators for the application of power IoT, which mainly adopts the idea of edge computing technology to fully tap the data potential of intelligent concentrators. This method considers the different scenarios in which the edge computing and cloud computing are applied in the power IoT, analyzes the feasibility of the edge computing technology applied to the power IoT intelligence of the concentrator. In addition, this paper discusses a class of concentrator intelligent solutions using edge computing technology, and considers the operation methods in combination with three data application scenarios. By introducing edge computing technology into the intelligent concentrator, it can realize the calculation offload of the cloud computing data center and reduce the system pressure. This solution does not require excessive manual intervention, and can automatically implement the meter reading and data fusion processing, which effectively improves Operation and maintenance efficiency of electric energy metering system in the power IoT.

Based on the actual situation of Guangdong power grid construction,putting forward the data back to the solution of the system of provincial business bureau subordinate,the provincial business system data from the provincial level to all the local authorities efficiently and accurately completed and return,to provide the basis for expanding the use of data analysis and data for the application of the province at all levels to carry out the business council.The paper briefly describes the data flow system requirements and design goals,data cleaning,data on the second return system conversion and loading(ETL)made a detailed description of the design process,and the data return system carefully test and trial operation results are summarized.Through the implementation of the first batch of more than 2 thousand and 600 business form efficient,complete and accurate analysis of the data flow back system,put forward the data return successful application in provincial business system example,after the realization of the information application in the provincial departments,it has a very important reference value and promotion.