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3.1 Grid Operation and Development课程教案、知识点、字幕

好吧
Okay,

很高兴再次见到你
it's great to see you again.

从这节课我们将开始学习第二节
So from this lecture we will start to learn the second part,

技术和应用
its technology and applications,

BDSG
of BDSG and

第三章是本部分的第一章
Chapter three is the first chapter for this part.

主要与智能电网大数据的主要应用领域有关
it is mainly about main application fields of BDSG

本章分为三个部分 第一部分是大型的操作和电网的大规模发展
And there are three sections in this chapter the first is great operation and development,

第二个是电能
and the second is power

最后一部分是关于社会和政府
consumers last section is about society and government.

所以这节课只关注第一部分
So this lecture is just focus on the first section,

大经营大发展
great operation and development,

我们将讨论两个话题
and we will talk about two topics.

首先是发展和规划
The first is development and planning,

第二个是最优操作
and the second is optimal operation.

好吧
OK,

让我们从开发和规划开始
so let's start from development and planning.

电网规划工作的
The specific application directions of power

具体应用方向包括负荷预测
grid planning include load forecasting,

负荷建模
load modeling demand

电动汽车需求分析
analyses of electric vehicles.

电网可靠性
Analyses of factors affecting power

影响因素分析等
grid reliability.

那么这些应用的技术流程是怎样的
How about the technical process of these applications?

让我们一个一个的进行描述
Last present them one by one.

首先
First,

负荷预测要做的事情
what load forecasting does

是利用全量负荷数据对负荷进行逐层分解
is using for load data to decompose the load layer by lower analyze load changes and regulations from multiple time and space dimensions,

从负荷季节、区域、时段等多个时空维度分析负荷的变化以及规律
such as load season, region, time period, and others

建立负荷特性模式库
and establish a load characteristic model library.

第二部分是关于负载建模
Second is about load modeling

基于综合能量管理系统
Based on the analysis of substation and user power,

用电信息采集系统提供的变电站以及用户功率信息分析符合构成
information provided by the Integrated energy management system and the power consumption Information acquisition system,

利用负荷分类和聚类等数据挖掘方法
using data mining methods such as load classification and clustering,

分析各类负荷的稳态和暂态特性
to analyze the steady state and trenchant characteristics of various laws,

建立较为准确的负荷模型
establish a more accurate load model.

电动汽车需求分析
Demand analysis of electric vehicles,

根据电动汽车用户的车辆运行数据和充电设施运营数据
according to the vehicle operation data and charging facility operation data of the electric vehicle users,

充电行为不同
the charging behavior rows are different.

车辆用途
Type of vehicles are analyzed according to the vehicle type vocal purpose,

用户习惯分析不同类型车辆的用户充电行为规律,可获得充电需求的空间和时间分布,指导充电设施规划和建设
and use their habits so as to obtain the spatial and temporal distribution of charging demand and guide the planning and construction of charging facilities.

电网可靠性影响因素分析 以提高配电网可靠性为目标
Analyses are factors affecting greater reliability in order to improve the reliability of distribution network.

从网络结构
Feature is related to reliability are extracted from network structure,

设备水平
equipment level,

用户构成等方面提取与可靠性相关的特征
user composition and other aspects.

识别薄弱环节和权力等级
Identify the weak links and power grade.

结合供电区域用户诉求和运行环境
Combined with the demands of users and operation environment in the power supply area,

分析最佳的可靠性提升路径,指导配电规划和投资
the optimal reliability improvement parth as analyzed to guide the distribution planning and investment

好吧
Okay,

现在让我们转到第二个话题
now let's move to the second topic

最优操作
optimal operation

基于WAMS的电网运行态势评估:
Wide area measurement system based the power grid operation situation assessment,

针对WAMS历史信息
According to the WAMS historical information,

或各种预想故障的时域仿真结果对大电网广域量测信息或者仿真结果进行关联特性挖掘
or the time domain simulation results of virus expected faults.

我们
we mine the association characteristics

获得不同运行场景下的
of the white area measurement information or a simulation results of the large power great.

大电网能量传递
The timespace correlation characteristics of energy transfer and disturbance,

和扰动传播时空关联特性
propagation indifferent operation sceneries are obtained,

结合随机矩阵、熵、时间序列等方法
combined with random matrix, entropy, time series and other methods

对系统静态、暂态稳定态势进行早期预判
The early prediction of static and transient stability situation of the system is carried out.

定量评估故障地点、故障类型等因素对稳定性的影响
The influence of Fords location for the type and other factors on stability is quantitatively evaluated.

识别系统薄弱环节
The weak links of the system are identified.

为安全稳定控制策略的制定提供依据
And the basis for the formulation of a security annister ability controls to add today is provided.

电网运行风险评估
Power grader operation risk assessment.

随着现代电力系统规模的不断扩大,特高压线路的增多
With the continuous expansion of modern power system and the increase of new UHV lies,

网架结构日益复杂,电网运行面临的潜在风险也越来越多
the great structure as becoming more and more complex and the potential risks of great operation are also increasing.

融合体量更大、类型更多的电网设备静态参数与电网运行数据
The static parameters and operation data are power grade equipment with a larger volume,

更加客观地分析、归类输配电网的运行状态以及风险等级
and more types are integrated to analyze and classify the operation status and the risk level of a transformation and distribution grid more objectively.

最佳操作的第三部分是现在的技术或宽松的监控
The third part of optimal operation is non-technique or line lose monitoring,

这很有侦探意味
which is very detective.

在营销数据与配用电数据贯通融合的基础上
Based on the integration of marketing data and distribution data.

通过分析历史负荷曲线
Through the analysis of historical load curve

负载电压以及其他相关事件
load voltage and other related events.

检测出线损异常状况,判断线损异常类型
The abnormal augmentation of outgoing lie lose as detected and the type off of a normal ly lose as determined

通过进一步识别非技术性线损模式
by further identifying the noun-technical line loss mode

评估其属于
We can evaluate whether it belongs to the intentional behavior,

窃电
such as stealing electricity,

私自改造电表
transforming electricity meters without permission.

恶意损坏电表等有意行为
maliciously damaging electricity meters

还是属于电表运行

or it belongs to the unintentional behavior,such as a spontaneous operation,

自发故障
failure of electricity meters,

电力公司安装错误
installation error of power companies,

等无意行为
etc.

以上就是关于3.1
That's all for the technical processes of several applications in three point one

电网运营和发展的各种技术流程的介绍
grid operation and development.

这些是参考文献
These are the references

下次课讲讨论3.2小节电力用户中的各种技术流程
Next time we will talk about the technical processes in section three point two power consumers.

谢谢 再见
Thank you see you.

Big Data of Smart Grid课程列表:

Chapter 1 What is Big Data

-Course Introduction and Overview of Big Data

-Chapter 1

-Big data review literature

Chapter 2 Big Data of Smart Grid(BDSG)

-2.1 Why Electirc Power + Big Data? 2.2 Applications

-Chapter 2

-An important application of big data in electric power——literature on the identification of small targets such as faults

Chapter 3 Main Application Fields of BDSG

-3.1 Grid Operation and Development

-3.2 Power Consumers

-3.3 Society and Government

-Chapter3

-Related literature on big data applications from the user perspective

Chapter 4 Technology System of BDSG

-4.1 Data Acquisition+4.2 Data Storage

-4.3 Data Processing

-4.4 Data Analysis and Mining

-4.5 Data Visualization

-4.6 Data Security and Privacy Protection

-Chapter4

-Load forecasting technology related literature

Chapter 5 Research Methods and Application Methods of BDSG

-5.1.1Platform Construction: Demand Analysis

-5.1.2Platform Construction: Design (1)

-5.1.2Platform Construction: Design (2)

-5.2 Data collection and management

-5.3.1 Data Aggregation and Fusion: Scheme and process

-5.3.2 Data Aggregation and Fusion: Application Practice

-5.4.1 Analysis and Mining: Scheme and process

-5.4.2 Analysis and Mining: Use-case analysis

-Chapter5

-Commonly used electric power big data deep learning method——application literature of transfer learning

Chapter 6 Project Cases of BDSG

-6.1 Heavy overload prediction of station area

-6.2 Daily load forecasting of large users

-6.3 Fault correlation analysis of power grid control system equipment

-6.4 Reliability of relay protection equipment family-

-6.5Application of random matrix in big data analysis of smart grid

-Chapter6

-Literature on Power Vision Data Processing Technology

Chapter 7 Prospect of BDSG

-Development trend and suggestions for BDIG

-Chapter7

-Intelligent Disaster or Failure Recognition Means——Related Literature of Electric Power Vision Big Data

3.1 Grid Operation and Development笔记与讨论

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