Method, device and storage medium for evaluating physical potential of demand response for feeder line

Patent metadata

Field	Value
Publication number	US-10816950-B2
Application number	US-201715763666-A
Country	US
Kind code	B2
Filing date	Jun 13, 2017
Priority date	Jun 15, 2016
Publication date	Oct 27, 2020
Grant date	Oct 27, 2020

Abstract

A Demand Response (DR) physical potential evaluation method for a feeder line is provided, which includes that: a load curve of a part to be identified in a load curve of a feeder line to be evaluated is acquired; a load database is created on the basis of a historical load curve of loads of predefined types; load types and total number of the loads to be identified are determined on the basis of the load curve of the part to be identified and the load database; a physical potential of the loads of each of the types is acquired according to the load types of the loads to be identified; and an overall aggregated physical potential of the loads to be identified is obtained according to the physical potential of the loads of each of the types and a number of the loads of each of the types.

First claim

The invention claimed is:

1. A method for evaluating physical potential of Demand Response (DR) for a feeder line, executed by a device for evaluating the physical potential of DR for the feeder line comprising a processor and a memory, the method comprising:
acquiring a load curve of loads to be identified from a load curve of a feeder line to be evaluated;
creating a load database on the basis of a historical load curve of loads of predefined types;
determining load types and total number of the loads to be identified on the basis of the load curve of the loads to be identified and the load database, wherein determining the load types and total number of the loads to be identified on the basis of the load curve of the loads to be identified and the load database comprises: judging whether the load database comprises the load curve of the loads of the predefined types corresponding to the climatic region where the feeder line to be evaluated is located within the predetermined time; if YES, directly identifying the load types and total number of the loads to be identified by adopting a predetermined identification manner; and if NO, generating the load curve of the loads of the predefined types by software simulation on the basis of time and external weather information data corresponding to the load curve of the loads to be identified, and identifying the load curve of the loads of the predefined types in the predetermined identification manner;
acquiring a physical potential of the loads of each of the types according to the types of the loads to be identified; and
obtaining an overall aggregated physical potential of the loads to be identified according to the physical potential of the loads of each of the types and a total number of the loads of each of the types.

2. The method as claimed in claim 1 , wherein acquiring the load curve of the loads to be identified from the load curve of the feeder line to be evaluated comprises:
acquiring a load curve of the feeder line to be evaluated within a predetermined time through an Energy Management System (EMS) of a power grid;
extracting a load curve of identifiable loads from the load curve; and
obtaining the load curve of the loads to be identified on the basis of the load curve of the feeder line to be evaluated within the predetermined time and the load curve of the identifiable loads.

3. The method as claimed in claim 2 , wherein creating the load database on the basis of the historical load curve of the loads of the predefined types comprises:
creating the load database of the loads of the predefined types on the basis of the historical load curve of the loads of the predefined types in a corresponding climatic region to establish association relationships between the loads of the predefined types and weather and time.

4. The method as claimed in claim 1 , wherein creating the load database on the basis of the historical load curve of the loads of the predefined types comprises:
creating the load database of the loads of the predefined types on the basis of the historical load curve of the loads of the predefined types in a corresponding climatic region to establish association relationships between the loads of the predefined types and weather and time.

5. The method as claimed in claim 1 , wherein acquiring the physical potential of the loads of each of the types according to the load types of the loads to be identified comprises:
obtaining a physical potential of DR of the loads of each of the types by simulation on the basis of the association relationships between the loads of the predefined types and the weather and time.

6. The method as claimed in claim 1 , wherein obtaining the overall aggregated physical potential of the loads to be identified according to the physical potential of the loads of each of the types and the total number of the loads of each of the types comprises:
calculating an overall aggregated response potential DR BSP,h of loads of the feeder line within a time period h according to a formula:
DR BSP,h =Σ k=1 N b x k DR k,h ,

where x k represents a total number of loads k, and N b represents a total number of types of the loads.

7. A device for evaluating physical potential of Demand Response (DR) for a feeder line, comprising: a processor and a memory having stored therein a computer program which is executable on the processor, wherein the processor is configured to run the computer program to perform operations of:
acquiring a load curve of loads to be identified from a load curve of a feeder line to be evaluated;
creating a load database on the basis of a historical load curve of loads of predefined types;
determining load types and total number of the loads to be identified on the basis of the load curve of the loads to be identified and the load database, wherein determining the load types and total number of the loads to be identified on the basis of the load curve of the loads to be identified and the load database comprises: judging whether the load database comprises the load curve of the loads of the predefined types corresponding to the climatic region where the feeder line to be evaluated is located within the predetermined time; if YES, directly identifying the load types and total number of the loads to be identified by adopting a predetermined identification manner; and if NO, generating the load curve of the loads of the predefined types by software simulation on the basis of time and external weather information data corresponding to the load curve of the loads to be identified, and identifying the load curve of the loads of the predefined types in the predetermined identification manner;
acquiring a physical potential of the loads of each of the types according to the types of the loads to be identified; and
obtaining an overall aggregated physical potential of the loads to be identified according to the physical potential of the loads of each of the types and a total number of the loads of each of the types.

8. The device as claimed in claim 7 , wherein the processor is configured to run the computer program to perform:
acquiring a load curve of the feeder line to be evaluated within a predetermined time through an Energy Management System (EMS) of a power grid;
extracting a load curve of identifiable loads from the load curve; and
obtaining the load curve of the loads to be identified on the basis of the load curve of the feeder line to be evaluated within the predetermined time and the load curve of the identifiable loads.

9. The device as claimed in claim 7 , wherein the processor is configured to run the computer program to perform:
creating the load database of the loads of the predefined types on the basis of the historical load curve of the loads of the predefined types in a corresponding climatic region to establish association relationships between the loads of the predefined types and weather and time.

10. The device as claimed in claim 7 , wherein the processor is configured to run the computer program to perform:
obtaining a physical potential of DR of the loads of each of the types by simulation on the basis of the association relationships between the loads of the predefined types and the weather and time.

11. The device as claimed in claim 7 , wherein the processor is configured to run the computer program to perform:
calculating an overall aggregated response potential DR BSP,h of loads of the feeder line within a time period h according to a formula:
DR BSP,h =Υ k=1 N b x k DR k,h

wherex k represents a total number of loads k, and N b represents a total number of types of the loads.

Assignees

• China Electric Power Res Institute Company Limited
• State Grid Corp China
• State Grid Shandong Electric Power Res Institute

Inventors

• Wang Ke
• Yong Taiyou
• Yao Jianguo
• Yang Shengchun
• Yu Yijun
• Li Yaping
• Feng Shuhai
• Liu Jiantao
• Zeng Dan
• Zhou Jing
• Guo Xiaorui
• Mao Wenbo
• Wang Gang

Classifications

• G06Q10/06 Primary

  Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling · CPC title

• G05B19/042

  using digital processors (G05B19/05 takes precedence) · CPC title

• G06Q50/06

  Energy or water supply · CPC title

• G05B2219/2639

  Energy management, use maximum of cheap power, keep peak load low · CPC title

• G05B19/048 Primary

  Monitoring; Safety · CPC title