2.1 Why Electirc Power + Big Data? 2.2 Applications在线视频

欢迎回来听这堂课
Welcome back for this lecture.

让我们看第二章
Let's move on to Chapter two.

电力大数据和大数据的关系吧
What is Big Data of Smart Grid.

这一章我们学习两个内容
We will talk about two sections in this chapter.

为什么智能电力行业要结合大数据业务 几个应用领域
Why put electric power together with big data and how about the applications of PTSD.

让我来说第一个问题的答案
Now let me start the first section with some other questions.

电力生产数据、设备监测数据、企业运营和管理数据都可以得出什么有价值的结论？
What valuable conclusions can be drawn from power production

data,

equipment

monitoring,

data,

enterprise operation and management data

或者说期待智能电网利用大数据做什么更智慧的事情？
or what kind of smarter things might be done by the great with big data?

来看两个案例，
Here are two cases around the following questions.

第一
The first,

哪个国家耗电量大？
Which country consumes the most electricity in the world?

这段来自Bilibili的视频告诉大家全球前20位耗电大国的动态变化，
This video from Bilibili shows us the dynamic changes of power consumption ranking of top 20 countries in the world，

从1990年
from 1990

到2018年间。
to 2018.

从中我们可以得知，
Fig2.1 tells us that,

我们知道
we know that

在1990年时，
In 1990,

位居前三的国家分别是美国、
the top three countries are the United States,

俄罗斯和日本
Russia and Japan,

中国位居第四
and China is the fourth.

从2011年开始，中国跃居第一。
Let’s look at Fig2.2 and 2.3

Since 2011,

China has become the first.

且还在持续快速上升
And the power consumption of China continues to rise rapidly.

我们从中还可以得知， 美国的排名始终不低于第二位，
We can also learn from it that The United States has always ranked no lower than second,

而印度升到了第三位，
while India has rose up to and stayed at third,

且韩国的排名也迅速上升。
South Korea's ranking is also rising rapidly.

耗电量代表了一个国家综合国力水平，
Power consumption represents a country's comprehensive national strength,

尤其是工业发展水平和人民的生活水平。
in particular, the level of industrial development and people's living standards.

让我们看看第二个案例。
Now, let’s move to the second question.

疫情过后企业的复工复产情况如何？
How is the resumption of work and production when the epidemic situation of 2019-novel Coronavirus has been controlled and alleviated?

电力数据的公开一直是研究者比较关心的问题。
The accessibility of open source power data has always been one of the most concerned issues for researchers.

而从这段视频（来自Bilibili）
From this video (from Bilibili),

可以得知在2020年3月9日中国第一个电力大数据公共查询平台
we know that in China the first public query platform

上线。
for power big data was launched

on March 9,

2020.

通过本平台的数据分析
By the data analysis on this platform,

企业和管理部门可以通过这种平台，了解产业上下游企业的复工复产情况。
the enterprises and management departments, can know the resumption of work, production of enterprises in upstream and downstream of industrial chain.

进一步了解产业链哪个环节用电比较多，所以可以及时了解产业链下游的堵点情况。
They can also know more about which part of the industrial chain uses more electricity,so can know the blocking points in the downstream of the industrial chain

in time.

现在来看看智能电网中与大数据密切相关的三个部分吧。
Now let's look at three parts of smart grid that are closely related to big data.

一是电网运行 二是电网资产
The first one is power grid operation and the second one is grid assets.

第三个电网
and the third one is grid

用户
users.

通过电网运行部分
From power

grid operation

历史数据
historical data,

网络拓扑结构
network topology,

配电
distribution

变压器改造、负荷特性
transformer improvement load characteristics.

气象、节假日数据等都可以获知也可获取
data of weather holidays and festivals can be obtained and as well as,

运行效率
the operation efficiency,

电力供应能力
power supply capacity,

分布情况等数据
distribution and other datas.

由图2 .4可以看出 用电量曲线与平均气温曲线变化趋势基本一致，
It can be seen from Fig. 2.4 that the trend of power consumption curve and average temperature curve is basically the same
00:06:16,890 --> 00:06:20,790
两者存在非常明显的相关
and there is a very obvious correlation between them
61

由图2.5可以看出 日最大负载率与日平均气温呈正U形分布。
It can be seen from Fig. 2.5 that the daily maximum load rate and the daily average temperature are in a U-shaped distribution.

上述数据对于配
These data are valuable for distribution

电网规划和投资有参考价值
network planning and investment.

本图来自文献5
Fig2.6 is from reference 5

展示了弯矩响应时间序列和谱线图
It shows the time series and spectra of bending moment response

不同运行和故障条件下的
for different examined operational and fault conditions

就是典型的故障大数据分析对
it is a typical case of fault big data analysis for system

系统评估和优化的案例
evaluation and optimization

大数据对电网资产最大的贡献
it is a typical case of fault big data

在于继电保护 分析出设备的薄弱点和风险点
to grid assets lies in relay protectionand the distribution of weak points and risk points

图2 7显示了一个典型的日负荷预测值分布
Figure 2.7 shows a typicaldaily load forecast value distribution

由用户行为特征数据分析得出的
obtained from the analysis of user behavior

characteristic data.

作为一个典型的例子
As a typical example.

它告诉我们 大数据可以利用用户数据实现售电量
It tells us that big data can use user data to realize electricity sales,

中短期负荷预测以及用户类别
short-term load forecasting user category

征信和行为分析
credit reporting and behaviour analysis

实际上
Actually.

除了研发了大数据平台之外
besides the development of big data platform,

国家电网公司基于大数据还建设了电力生产
the State Grid Corporation of China Has built fields such as power production

企业经营管理
business management

优质客户服务电力增值服务等领域
high-quality customer service based on big data and power value-added service。

我们期待电力能为世界电力大数据做出自己的贡献
We expect contribution to the world's power big data from BDSG

在中国
In China.

本节课简述了电力大数据的一些概念和应用，
This lesson briefly introduces some concepts and applications of big data in smart grid.

我希望它对你有帮助
I hope it is helpful for you.

哦
Oh,

下节课
next lecture.

我们将细致的介绍智能电网大数据的三个重点应用领域。
we will start to talk about the details for three important applications of BDSG

这是本课中的部分参考文献。
Here are some of the references for this lecture.

今天就到这里
so much for today.

谢谢你
Thank you.