Polaris Power Software Reuters: If you talk about high-frequency words in the power information industry last year, big data is positioned among them, and the media even rated it as one of the hottest areas of electricity in 2013. With the continuous growth and rapid expansion of the total power data, the era of power big data has come. Sub-sectors such as power grids, power generation, transmission, distribution, and power supply have all started the prelude to the development and application of big data. However, the big data industry is still in the early stages of development. How to efficiently obtain data from massive data, and effectively process and eventually obtain useful data, is the purpose of power companies to get involved in big data.
In recent years, the investment in the construction and management of lines and substations used by the State Grid and South China Network for power grids has gradually increased. Investment has focused on the construction of regional and provincial backbone power grids, power distribution and rural power grids. Informatization has become one of the most important As a result, the huge power information market has been created.
During the 12th Five-Year Plan period, China's power investment in information has gradually grown. According to the data summarized in the "2011-2015 China Power Informatization Industry Market Situation and Analysis of the Upstream and Downstream Industry Relationships," the 2013 investment in power informatization was 28.801 billion yuan, a year-on-year increase of 15.3%. It is expected that this year's power informatization will be achieved. The scale of investment will reach 33.611 billion yuan. The power construction is supported by informatization, and the scale of informatization investment is gradually expanding, which means that the scale of information and data carried on the power system will become larger and larger.
At present, the problems faced by the power industry will not only be to collect and store data, but to use relevant quantitative and statistical information around the data to mine more valuable information. The use of big data can analyze the business, process it into useful data, and then fully control the business.
In addition, compared with other industries, the power industry is richer in big data resources, and it is more difficult for massive data processing. According to Liu Jianming, general manager of the State Grid Information and Communications Co., Ltd., the current source of big data power industry can be divided into three categories. The first is the production data of power companies, such as data on power generation and voltage stability. The second is the power company's operational data, such as transaction power prices, electricity sales, electricity customers, and other data. The third is power management data, such as ERP, integrated platform, collaborative office and other data. In addition, various new services derived from smart grids will also increase the volume of big data resources, which will be a huge test for the maintenance of information security capabilities of power units.
If you can make full use of these actual data based on the power grid, and conduct in-depth analysis, you can provide a large number of high value-added services. These value-added services will be conducive to power grid security detection and control, including catastrophic early warning and processing, power supply and power dispatching decision support and more accurate power consumption forecasting, customer power behavior analysis and customer segmentation, power enterprise fine operation management And so on, to achieve a more scientific demand-side management.
Taking the world-renowned wind power manufacturer Denmark VESTAS as an example, it plans to combine the global weather system data with the company's generator data, and use air temperature, atmospheric pressure, air humidity, air sediments, wind direction, wind speed, and company historical data, through the use of Supercomputers and big data model solutions to support the location of their wind turbines to take full advantage of wind speed, wind power, air flow and other factors to achieve maximum power generation and reduce energy costs.
In the data center of China State Grid ICT in Yizhuang, Beijing, there are 10,200 sensors that collect data in time, store it in the cloud, and analyze and use it.
Some experts analyzed that whenever the utilization rate of power big data is increased by 10%, the grid can increase its profit by 20% to 49%.

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