POWER DISTRIBUTION MANAGEMENT APPARATUS, PATTERN EXTRACTION METHOD, AND RECORDING MEDIUM

• US 20150207321A1
• Filed: 03/31/2015
• Published: 07/23/2015
• Est. Priority Date: 10/01/2012
• Status: Active Grant

• Current Assignee: Fujitsu Limited
• Original Assignee: Fujitsu Limited
• Inventors: KASHIWAGI, Tetsuya, Matsufuji, Yuichi
• Granted Patent: US 10,211,633 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G05B 15/02 electric
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 50/06 Energy or water supply
• CPC Class Codes: H02J 13/00034 the elements or equipment being or involving an electric power substation
• CPC Class Codes: H02J 13/00036 the elements or equipment being or involving switches, relays or circuit breakers circuits for indication of single switches H01H9/167
• CPC Class Codes: H02J 3/00 Circuit arrangements for ac mains or ac distribution networks
• CPC Class Codes: Y02B 70/3225 Demand response systems, e.g. load shedding, peak shaving
• CPC Class Codes: Y02B 90/20 Smart grids as enabling technology in buildings sector smart grids supporting the management or operation of end-user stationary applications in general, or like technologies with no associated climate change mitigation effect Y04S20/00
• CPC Class Codes: Y02E 60/00 Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
• CPC Class Codes: Y04S 10/16 Electric power substations
• CPC Class Codes: Y04S 10/18 using switches, relays or circuit breakers, e.g. intelligent electronic devices [IED]
• CPC Class Codes: Y04S 20/00 Management or operation of end-user stationary applications or the last stages of power distribution; Controlling, monitoring or operating thereof
• CPC Class Codes: Y04S 20/222 Demand response systems, e.g. load shedding, peak shaving

Abstract

A power distribution management apparatus includes: a memory configured to store history information including a pattern of open and closed states of switches that switch a path that supplies power between a substation and load equipment of a customer, and attribute information related to an environment where the power is supplied; and a processor configured to execute a process. The process includes: upon acceptance of specification of the attribute information related to the environment, calculating a degree of similarity between the specified attribute information and attribute information included in the history information; and extracting a pattern of the open and closed states of switches whose degree of similarity satisfies a predetermined condition among the history information.

Claims

1. A power distribution management apparatus comprising:

a memory configured to store history information including a pattern of open and closed states of switches that switch a path that supplies power between a substation and load equipment of a customer, and attribute information related to an environment where the power is supplied;

a processor configured to execute a process including;

upon acceptance of specification of the attribute information related to the environment, calculating a degree of similarity between the specified attribute information and attribute information included in the history information; and

extracting a pattern of the open and closed states of switches whose degree of similarity satisfies a predetermined condition among the history information.

2. The power distribution management apparatus according to claim 1, wherein

the attribute information contains a date classification, a time, a temperature, and the amount of solar radiation, and

the calculating includes calculating the degree of similarity between the specified date classification, time, temperature, and amount of solar radiation, and the date classification, time, temperature, and amount of solar radiation contained in the history information.

3. The power distribution management apparatus according to claim 2, wherein

the attribute information further contains the number of customers possessing a distributed energy resource, or a total value of power generation capacity of distributed energy resources, and

the calculating includes calculating the degree of similarity between the number of customers possessing a specified distributed energy resource and the number of customers possessing a distributed energy resource contained in the history information, or calculates the degree of similarity between the total value of power generation capacity of specified distributed energy resources and the total value of power generation capacity of distributed energy resources contained in the history information.

4. A pattern extraction method comprising:

upon acceptance of specification of attribute information related to an environment where power is supplied, calculating a degree of similarity between the specified attribute information and attribute information contained in history information including a pattern of open and closed states of switches that switch a path that supplies power between a substation and load equipment of a customer, and the attribute information related to the environment where the power is supplied, by a processor; and

extracting a pattern of the open and closed states of switches whose degree of similarity satisfies a predetermined condition among the history information, by the processor.

5. The pattern extraction method according to claim 4, wherein

the attribute information contains a date classification, a time, a temperature, and the amount of solar radiation, and

the calculating includes calculating the degree of similarity between the specified date classification, time, temperature, and amount of solar radiation, and the date classification, time, temperature, and amount of solar radiation contained in the history information, by the processor.

6. The pattern extraction method according to claim 5, wherein

the attribute information further contains the number of customers possessing a distributed energy resource, or a total value of power generation capacity of distributed energy resources, and

the calculating includes calculating the degree of similarity between the number of customers possessing a specified distributed energy resource and the number of customers possessing a distributed energy resource contained in the history information, or calculating the degree of similarity between the total value of power generation capacity of specified distributed energy resources and the total value of power generation capacity of distributed energy resources contained in the history information, by the processor.

7. A computer-readable recording medium having stored therein a pattern extraction program that causes a computer to execute a process comprising:

upon acceptance of specification of attribute information related to an environment where power is supplied, calculating a degree of similarity between the specified attribute information and attribute information contained in history information including a pattern of open and closed states of switches that switch a path that supplies power between a substation and load equipment of a customer, and the attribute information related to the environment where the power is supplied; and

extracting a pattern of the open and closed states of switches whose degree of similarity satisfies a predetermined condition among the history information.

8. The computer-readable recording medium according to claim 7, wherein

the attribute information contains a date classification, a time, a temperature, and the amount of solar radiation, and

the calculating includes calculating the degree of similarity between the specified date classification, time, temperature, and amount of solar radiation, and the date classification, time, temperature, and amount of solar radiation contained in the history information.

9. The computer-readable recording medium according to claim 8, wherein

the attribute information further contains the number of customers possessing a distributed energy resource, or a total value of power generation capacity of distributed energy resources, and

the calculating includes calculating the degree of similarity between the number of customers possessing a specified distributed energy resource and the number of customers possessing a distributed energy resource contained in the history information, or calculating the degree of similarity between the total value of power generation capacity of specified distributed energy resources and the total value of power generation capacity of distributed energy resources contained in the history information.