Look at how the State Grid can play big data

The State Grid and Tencent cooperated to engage in "Internet + Power Grid", we must integrate WeChat "wisdom life" solutions and Sichuan power users big data resources, triggering a hot debate. However, that is definitely only the tip of the iceberg.

After listening to the speech on the “Global Energy Internet and Big Data” speech by Wang Jiye, director of the Information and Communications Department of the State Grid Corporation of China at the 2015 “Sharing the Future of Combining Numbers” event on the Zhongguancun Big Data Day, he will find that the national grid’s Internet strategy is not yours. Think so simple.

The State Grid and Smart Grid Research Institute has released the Global Energy Internet Big Data Lab, which is now fully operational on the National Grid.

It should be said that the global energy internet has many problems to solve, including power supply technology, power grid technology, and energy storage technology. The more important one is information and communication technology, which includes enterprise-level and social-wide big data and cloud computing. , Internet of things, mobile, and related technologies.

In order to build a global energy internet, the State Grid Corporation of China has also started the support work for the corresponding information and communication work. Through the extensive application of big data, cloud computing, the Internet of Things, and mobile internet technologies, the power cloud and power internet of things are established to support the UHV grid. Ubiquitously, the smart grid supports the construction of the global energy internet. In this, we believe that big data is the core. Cloud computing is a processing method. Internet of things and mobile Internet are information exchange methods. The real core lies in big data.

State Grid Corporation of China released "Implementation Plan for Innovation and Development of Smart Grid and "One Strong and Three Excellent" Modern Companies Promoted by New Information and Communication Technologies." Accelerate the promotion of "great cloud and material transfer," and other innovative applications of new technologies in smart grids and company operations, and promote the development of the power grid to the global energy Internet. The main contents of the action plan include four goals, six major areas, and six-year plans.

Advanced technology, independent research and development of information, and key technologies for smart grid integration.

Promote the company's smart grid technology level and continue to ensure a full range of international leadership.

The six major areas include the intelligentization of power transmission and distribution, intelligent power distribution, coordination of the source network load, enterprise management and intelligent information support. At the same time, according to the recent detailed long-term planning principles, the six-year plan has been formulated and divided into three phases. The four main lines of key technology research and development, basic platform construction, key application promotion, and information and communication security are being promoted in an integrated manner. This plan will be implemented as a pilot phase in 2015 and 2016. It will be promoted in 2017 and 2018 and will be completed in 2020. We will establish a related operating system for the power cloud.

This is our work on the global energy internet and information and communication technologies.

In order to change the technology, informatization also needs to be upgraded, optimized, and adjusted accordingly. This includes optimizing the infrastructure and further integrating business processes.

Development goals, cloudization of infrastructure, innovation of business models, and information-driven business model innovation. This is some very specific content. Infrastructure should be fully cloud computing and Internet-based. We must establish three "clouds", public service cloud, enterprise management cloud, and grid control cloud. At the same time, the power internet of things must realize the full interconnection of power users and equipment resources.

Mobile operations and the movement of extranets also perform related work.

In terms of big data, the first step is to establish an enterprise-class big data platform to achieve data collection, transmission, storage, and processing through the big data platform. On top of the big data platform, decision support classes, implementation acquisitions, and online monitoring applications for computing and analyzing big data are built. There are ten major scenarios and pilot projects are conducted in different organizations. Our work in big data is just beginning. The next step is to continue to improve on this basis.

For example, through power load forecasting, we organized Jiangsu Electric Power Company and Shandong Electric Power Company to use big data technology, based on data files of power load users, combined with data such as climate and temperature changes, established electricity consumption data analysis models, and realized the analysis of electricity load characteristics. And predict the future electricity load curve. In April of this year, Jiangsu Provincial Electric Power Company, through the construction of several hundred analysis models, forecasted the peak of electricity consumption in Jiangsu Province and successfully verified it in August this year.

They predict that the peak of electricity consumption in Jiangsu Province will appear on August 6. In fact, the real time will be August 5, which will be one day. The maximum electricity they predicted was 8481 kWh, which actually occurred at 8440, and the error rate was only 400,000.

The relevant power dispatching and power experts really feel that the power brought by big data is very great. We have also tasted the sweetness. The next step will be to fully apply big data in power load forecasting and other aspects of application scenarios. Data improvement work to improve efficiency.

Through the preliminary pilot tests, the accuracy of load forecasting was increased to 99.5%, the time of maximum load deviation was one day, and the peak-to-valley difference rate was reduced by 5%. For the distribution network repair lean big data forecast, real-time monitoring, fault prediction, rush repair compliance rate, equipment failure prediction accuracy rate increased by 40%, emergency repair compliance rate reached 15%, repair time shortened by 30 minutes, this effect is also very good.

Through the application of new information technologies, the State Grid Corporation of China has further improved the level of intelligence and digitization of its power grids. The characteristics of the energy Internet have initially appeared. The future users will be more closely integrated with long-distance renewable energy sources, and energy production will be achieved through the integration of energy substitution conversion transactions and dispatching services. Coordinated control of transmission, consumption, promotion of two-way interaction between supply and demand, and energy sharing.