JP2006349519A - Demand factor analyzing system and demand factor analysis method - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a demand factor analyzing system and a demand factor analysis method, capable of easily specifying the demand factor for electric power diagnostic service. <P>SOLUTION: This demand factor analyzing system 1 is provided with an electric power data recording means 12 which records electric power data, indicating used electric power quantity measured for each predetermined time and for each measuring object electrical equipment into an electric power data storage device 18, and demand factor ranking means 13-16 which determine power consumption rate for each load at the time, when sum total value of the used electric power becomes maximum, based on the electric power data recorded in the electric power data storage device 18, which determine the electric power increase quantity and/or electric power increase rate for each measuring object electrical equipment, when the sum total value of the used electric power becomes maximum, and which rank the measuring object electrical equipment, regarding the demand factor based on the determined power consumption rate for each load and the determined electric power increase quantity and/or electric power increase rate. <P>COPYRIGHT: (C)2007,JPO&INPIT

Description

  The present invention relates to a demand factor analysis system and a demand factor analysis method, and more particularly to a demand factor analysis system and a demand factor analysis method suitable for specifying an electrical device (circuit) that is a factor of maximum demand power.

  For example, because the electricity charges for high-voltage power contracts are determined based on the maximum demand electricity (maximum demand electricity) of the previous year, customers can request electricity companies to perform electricity diagnosis to reduce the electricity charges. May be identified. In such a case, in the power company, the person in charge measures the amount of power used for each customer's electrical device, and identifies the demand factor by analyzing the amount of power used for each measured electrical device. .

  In Patent Document 1 below, first load analysis means for reading the minimum power usage amount from the user database and calculating the variable load power usage amount in order to reliably predict the reduction of the user's electricity bill. A second load analysis unit that reads the maximum demand power and the minimum demand power among the monthly demand powers, and calculates the variable load demand power, and the usage charge reduction amount indicated by AT × CR × R1 and AD × A possible reduction rate calculation means for calculating the basic charge reduction amount indicated by CR × R0 × 12, and a target reduction amount for calculating the target reduction amount of the electricity rate by multiplying the total electricity rate for one year by the electricity rate reduction rate Compare the calculation method with the possible reduction total obtained by adding the usage charge reduction amount and the basic charge reduction amount to the target reduction amount. If the total possible reduction is equal to or greater than the target reduction amount, the energy saving contract with the electricity charge reduction rate An energy-saving proposal system including a determination unit that determines that is possible is disclosed.

In addition, in Patent Document 2 below, in order to minimize contract power without greatly reducing comfort, a demand control unit, a non-control time demand value estimation unit, a cause facility extraction unit, a facility operation history storage unit, A demand outbreak time zone extraction section that extracts a demand outbreak time zone by inputting a demand value corresponding to a case where demand control from the non-control demand value output section is performed as a cause equipment extraction section, and equipment operation A facility operation history extraction unit that extracts information representing a facility operation history corresponding to a demand protrusion time zone, using the information representing the history of facility operation from the history storage unit and the demand protrusion time zone as input, and an operation history A demand control operation apparatus having an inappropriate facility operation detection unit that detects inappropriate facility operation based on the above is disclosed.
JP 2001-352676 A JP 2002-165364 A

  However, the power company personnel are responsible for the power diagnostic work because they measure all of the power used for each electrical device and perform data processing such as data aggregation and graphing of the measured power consumption and analysis of demand factors. There is a problem that it is very time consuming and expensive.

  An object of the present invention is to provide a demand factor analysis system and a demand factor analysis method capable of easily specifying a demand factor in power diagnosis work.

The demand factor analysis system (1) according to the present invention includes power data recording means for recording power data representing the amount of power used measured every predetermined time and for each electrical device to be measured in the power data storage device (18). Based on the power data recorded in the power data storage device, the power consumption ratio by load, which is the power consumption ratio for each of the measurement target electrical devices during the time when the total value of the power consumption is maximized, is obtained. The power increase rate and / or power increase rate for each measurement target electrical device during the time when the total value of the power consumption is maximized is obtained, and the obtained power consumption rate by load and the obtained power increase amount And / or a demand factor ranking unit that ranks the electrical equipment to be measured with respect to the demand factor based on the power increase rate.
Here, the power data recording means records the measurement date and time data representing the measurement date and time when the power consumption is measured and the power data in association with each other and records them in the power data storage device, and the demand factor ranking means Calculates the maximum power consumption of the previous year based on the power data recorded in the power data storage device, and associates the power data indicating the determined maximum power consumption with the power data storage device. The annual maximum power generation date and time extraction unit (13) that obtains the measurement date and time represented by the recorded measurement date and time as the annual maximum power generation date and time, and the annual maximum power generation date and time determined by the annual maximum power generation date and time extraction unit Obtaining power data from the power data storage device, obtaining a power consumption ratio by load based on the obtained power data, The power consumption ratio ranking unit (14) that ranks the measurement target electrical devices in descending order of the power consumption ratio by load and the power data at the yearly maximum power generation date and time determined by the yearly maximum power generation date and time extraction unit. Obtained from the power data storage device, obtains a power increase amount at the annual maximum power generation date and time for each measurement target electrical device based on the acquired power data, and the measurement target electrical device in descending order of the obtained power increase amount The power increase amount ranking unit (15) for ranking the power consumption rate ranking unit, and the total value of the rank ranked by the power consumption rate ranking unit and the rank ranked by the power increase amount ranking unit. Demand factor rank that is obtained for each electric device and ranks the measurement target electric device in ascending order of the obtained total value. Only part (16) and may be provided.
The demand factor ranking means obtains the cumulative power consumption for one week based on the power data recorded in the power data storage device instead of the annual maximum power generation date and time extracting unit, And a weekly maximum cumulative power generation time extraction unit for determining the measurement time represented by the measurement date and time data associated with the power data indicating the calculated cumulative maximum power consumption as the weekly maximum cumulative power generation time, The power consumption ratio ranking unit acquires power data at the time of weekly maximum cumulative power generation obtained from the weekly maximum cumulative power generation time extraction unit from the power data storage device, and loads based on the acquired power data Obtain another power consumption rate, rank the measurement target electric devices in descending order of the obtained power consumption rate by load, and increase the power The ranking unit acquires power data at the time of weekly maximum cumulative power generation determined by the weekly maximum cumulative power generation time extraction unit from the power data storage device, and for each measurement target electric device based on the acquired power data May be obtained, and the measurement target electric devices may be ranked in descending order of the obtained power increase amount.
The demand factor ranking means obtains, from the power data storage device, power data at the yearly maximum power generation date and time determined by the yearly maximum power generation date and time extraction unit instead of the power increase amount ranking unit, A power increase rate ranking unit that obtains a power increase rate at the yearly maximum power generation date and time for each measurement target electrical device based on the acquired power data, and ranks the measurement target electrical device in descending order of the calculated power increase rate And the demand factor ranking unit calculates a total value of the ranking ranked by the power consumption rate ranking unit and the ranking ranked by the power increase rate ranking unit for each electric device to be measured. The electrical devices to be measured may be ranked in ascending order of the calculated total value.
The demand factor ranking means obtains power data at the yearly maximum power generation date and time obtained by the yearly maximum power generation date and time extraction unit from the power data storage device, and based on the acquired power data, the measurement target electricity The demand factor ranking unit further includes a power increase rate ranking unit that obtains a power increase rate at the date and time of annual maximum power generation for each device, and ranks the measurement target electrical devices in descending order of the calculated power increase rate. A total value of the ranking ranked by the power consumption ratio ranking unit, the ranking ranked by the power increase amount ranking unit, and the ranking ranked by the power increase rate ranking unit. Obtain for each electrical device, rank the measurement target electrical devices in ascending order of the total value obtained. Good.
Based on the power data recorded in the power data storage device, the maximum power consumption for each day is obtained, and is represented by measurement date and time data associated with the power data indicating the obtained maximum power consumption. A daily maximum power generation time extraction unit that obtains the measurement time as the daily maximum power generation time is further provided, and the power consumption ratio ranking unit obtains the daily maximum power obtained by the daily maximum power generation time extraction unit. The power data at the time of occurrence is acquired from the power data storage device, the power consumption ratio by day load is obtained based on the acquired power data, and the measurement target electricity is calculated in the descending order of the calculated power consumption ratio by day load. The devices are further ranked, and the power increase amount ranking unit obtains power data at the time of daily maximum power generation obtained by the daily maximum power generation time extraction unit. Is obtained from the power data storage device, and based on the obtained power data, the amount of power increase at the time of daily maximum power generation for each electrical device to be measured is obtained, and the measurement target is in descending order of the obtained power increase amount. The electrical equipment is further ranked, and the demand factor ranking unit measures the total value of the ranking ranked by the power consumption rate ranking unit and the ranking ranked by the power increase ranking unit. You may obtain | require for every object electric equipment, and may rank the said measurement object electric equipment further in order with a small said total value calculated | required.

According to the demand factor analysis method of the present invention, based on the power consumption measured at each predetermined time and for each measurement target electrical device, the measurement target electrical device at the time when the total value of the power consumption is maximum A first step of obtaining a power consumption rate by load, which is a power consumption rate for each, and a power increase amount and / or a power increase rate for each measurement target electric device during the time when the total value of the power consumption is maximum A second step of determining, and a third step of ranking the measurement target electric device with respect to a demand factor based on the calculated power consumption rate by load and the calculated power increase amount and / or power increase rate; It is characterized by comprising.
Here, the first step determines the maximum power consumption of the previous year based on the power consumption measured for each electrical device to be measured, and the measurement target electricity indicating the determined maximum power consumption A step (S13) of obtaining the measurement date and time when the power consumption for each device is measured as the annual maximum power generation date and time, and based on the power consumption for each measurement target electrical device measured at the calculated annual maximum power generation date and time Calculating the power consumption rate by load and ranking the measurement target electric devices in descending order of the calculated power consumption rate by load (S14), and the second step includes the determined annual maximum Based on the amount of power used for each of the measurement target electrical devices measured at the date and time of power generation, and / or the amount of power increase at the yearly maximum power generation date and time for each measurement target electrical device Determining a power increase rate, and ranking the measurement target electric devices in descending order of the determined power increase rate and / or in descending order of the determined power increase rate (S15), the third step comprising: The measurement target is a total value of the rank ranked in descending order of the power consumption ratio by load, the rank ranked in descending order of the power increase amount, and / or the rank ranked in descending order of the power increase rate. The method may include a step (S16) of obtaining each electric device and ranking the measurement target electric devices in ascending order of the obtained total value.
Instead of the step (S13) in which the first step obtains the yearly maximum power generation date and time, the cumulative maximum power consumption is obtained by obtaining the cumulative power consumption for one week based on the power consumption. And determining the time when the power consumption for each of the measurement target electrical devices indicating the cumulative maximum power consumption is measured as the time of the weekly maximum cumulative power generation, and the measurement target electricity in descending order of the power consumption ratio by load Instead of the step of ranking the devices (S14), a power consumption rate by load is obtained based on the amount of power used for each of the measurement target electrical devices when the obtained weekly maximum accumulated power is generated, and the obtained power by load Ranking the measurement target electrical devices in descending order of consumption rate, and the third step includes measuring the measurement target powers in ascending order of the total value. Instead of the step of ranking the devices (S16), based on the amount of power used for each of the measurement target electrical devices at the time of the determined weekly maximum cumulative power generation, The method may include a step of obtaining an electric power increase amount and ranking the measurement target electric devices in descending order of the obtained electric power increase amount.
Based on the power consumption for each measurement target electrical device, the maximum power consumption for each day is obtained, and the time for which the power consumption for each measurement target electrical device indicating the determined maximum power consumption is measured Obtaining the daily power consumption rate by load based on the step of obtaining the daily maximum power generation time and the amount of power used when the obtained daily maximum power is generated, and in order of increasing the calculated daily power consumption rate by load Further ranking the measurement target electrical devices, and at the time of daily maximum power generation for each of the measurement target electrical devices based on the amount of power used for each of the measurement target electrical devices at the time of the determined daily maximum power generation Obtaining a power increase amount, further ranking the measurement target electrical devices in descending order of the calculated power increase amount, and ranking with respect to the power consumption ratio according to the daily load A step of obtaining a total value of the ranking and the ranking ranked with respect to the power increase amount for each of the measurement target electric devices, and further ranking the measurement target electric devices in ascending order of the calculated total value. You may have.

The demand factor analysis system and the demand factor analysis method of the present invention have the following effects.
(1) For example, based on the rank regarding the power consumption ratio by load at the date and time of maximum annual power generation and the rank regarding the power increase amount and / or power increase rate for each measurement target electric apparatus, the measurement target electric apparatus is ranked with respect to the demand factor. By doing so, it is possible to easily identify the demand factor in the power diagnosis work.
(2) Using the demand factor analysis system, for example, obtain the power consumption rate by load and the amount of power increase and / or power increase rate for each electrical device to be measured at the date and time of maximum annual power generation. The demand factor analysis can be automatically performed by ranking the measurement target electric equipment with respect to the demand factor based on the rank and the rank regarding the obtained power increase amount and / or power increase rate.
(3) Demand factor based on, for example, the rank regarding the power consumption rate by load and the rank of the power increase amount and / or the power increase rate for each electric device to be measured at the time of the weekly maximum cumulative power generation instead of the annual maximum power generation date and time By ranking the measurement target electric devices with respect to the demand factor, it is possible to easily analyze the demand factor even for customers who cannot measure the power consumption of the measurement target electric device throughout the year.
(4) At the time of occurrence of daily maximum power, for example, the measurement target electrical device is determined with respect to the demand factor based on the rank regarding the power consumption ratio by load per day and the rank regarding the power increase amount and / or power increase rate for each measurement target electrical device. By ranking, it is possible to easily grasp fluctuations in demand factors from day to day and fluctuations in demand factors from season to season and use them for power diagnosis work.

  The purpose of facilitating the identification of demand factors in power diagnosis work is to determine the power consumption ratio by load during the time when the total amount of power consumption measured at each predetermined time and for each measurement target electrical equipment is maximum. This is achieved by ranking the measurement target electrical devices with respect to demand factors based on the amount of power increase and / or power increase rate for each measurement target electrical device during the time when the total value of the power consumption is maximum. .

Embodiments of a demand factor analysis system and a demand factor analysis method according to the present invention will be described below with reference to the drawings.
As shown in FIG. 1, a demand factor analysis system 1 according to an embodiment of the present invention includes a power data reception unit 11, a power data recording unit 12, an annual maximum power generation date and time extraction unit 13, and a power consumption ratio ranking. Unit 14, power increase amount ranking unit 15, demand factor ranking unit 16, display unit 17, and power data storage device 18.
Further, the demand factor analysis system 1 is connected to a power amount measuring device 20 installed in a factory or the like that performs power diagnosis via a communication line 30.

The power amount measuring device 20 includes a recording watt-hour meter 21 and a power data transmitting unit 22.
The recording watt-hour meter 21 uses the power consumption (load) for each measurement target electrical device (such as the rectifier 31, the dryer 32, the air conditioner 33, and the illumination 34 shown in FIG. 1) provided in a factory in units of 30 minutes. While measuring each, it outputs to the power data transmission unit 22 power data representing the amount of power used for each measured electrical device and measurement date / time data representing the measurement date / time (measurement date and measurement time (in units of 30 minutes)). To do. As such a recording watt-hour meter 21, for example, “Energy Management Navi” manufactured by Chugoku Keiki Kogyo Co., Ltd. can be used.
The power data transmitting unit 22 transmits the power data and measurement date / time data input from the recording watt-hour meter 21 to the demand factor analysis system 1 via the communication line 30.

The power data receiving unit 11 of the demand factor analysis system 1 receives the power data and measurement date / time data transmitted from the power amount measuring device 20 and outputs the received power data and measurement date / time data to the power data recording unit 12. To do.
When the power data and the measurement date / time data are input from the power data receiving unit 11, the power data recording unit 12 records the power data and the measurement date / time data in the power data storage device 18 in association with each other.

The yearly maximum power generation date and time extraction unit 13 obtains the maximum power consumption (maximum load) of the previous year based on the power data recorded in the power data storage device 18, and includes power data indicating the maximum power consumption and The associated measurement date / time data is read from the power data storage device 18, and the measurement date / time represented by the read measurement date / time data is defined as the annual maximum power generation date / time.
The annual maximum power generation date and time extraction unit 13 outputs the annual maximum power generation date and time data representing the annual maximum power generation date and time to the power consumption ratio ranking unit 14 and the power increase amount ranking unit 15.

The power consumption ratio ranking unit 14 searches the power data storage device 18 based on the annual maximum power generation date and time data input from the annual maximum power generation date and time extraction unit 13 and represents the year represented by the annual maximum power generation date and time data. Power data at the date and time when the maximum power is generated is acquired, and a power consumption ratio (hereinafter referred to as “power consumption ratio by load”) for each measurement target electric device is obtained based on the acquired power data.
In addition, the power consumption ratio ranking unit 14 ranks the measurement target electric devices in descending order of the calculated power consumption ratios by load, and generates load-specific power consumption ratio ranking data representing the ranking of the ranked measurement target electric devices. After that, the generated power consumption ratio ranking data by load is output to the demand factor ranking unit 16.

The power increase amount ranking unit 15 searches the power data storage device 18 based on the annual maximum power generation date and time data input from the annual maximum power generation date and time extraction unit 13, and represents the year represented by the annual maximum power generation date and time data. The power data at the maximum power generation date and time is acquired, and the amount of power increase for 30 minutes at the maximum annual power generation date and time for each measurement target electric device is obtained based on the acquired power data.
The power increase amount ranking unit 15 ranks the measurement target electric devices in descending order of the calculated power increase amount, and generates power increase amount ranking data representing the ranking of the ranked measurement target electric devices. The increased power ranking data is output to the demand factor ranking unit 16.

The demand factor ranking unit 16 generates a demand factor based on the load-based power consumption rate ranking data input from the power consumption rate ranking unit 14 and the power increase amount ranking data input from the power increase amount ranking unit 15. Demand factor ranking data representing the ranking of is generated.
That is, the demand factor ranking unit 16 obtains the total value of the rank represented by the power consumption ratio ranking data by load and the rank represented by the power increase ranking data for each electric device to be measured, and the total value of the obtained ranks Demand factor ranking data is generated by ranking the measurement target electric devices in ascending order. When the total rank value is the same, the measurement target electric device having the higher power increase amount rank is also ranked higher in the demand factor rank.
Further, the demand factor ranking unit 16 outputs the generated demand factor ranking data to the display unit 17.

  The display unit 17 generates demand factor ranking screen data representing a demand factor ranking screen indicating the rank of demand factors based on the demand factor ranking data input from the demand factor ranking unit 16, and the generated demand factor ranking screen Data is output to a display device (not shown).

Next, regarding the operation of the demand factor analysis system 1 according to the present embodiment (demand factor analysis method according to an embodiment of the present invention), the rectifier 31, the dryer 32, the air conditioner 33, and the illumination 34 shown in FIG. An example of a case of a device will be described with reference to the flowchart shown in FIG.
The amount of power used for each of the rectifier 31, the dryer 32, the air conditioner 33, and the lighting 34 installed in the customer's factory is measured every 30 minutes by the recording watt-hour meter 21 of the power amount measuring device 20. The recording watt-hour meter 21 includes a power data transmission unit that displays power data representing the measured power consumption in units of 30 minutes for each of the rectifier 31, the dryer 32, the air conditioner 33, and the illumination 34 together with the measurement date data that represents the measurement date. 22 for output. The power data transmission unit 22 transmits the power data and measurement date data input from the recording watt-hour meter 21 to the demand factor analysis system 1 via the communication line 30 (step S11).

When the power data receiving unit 11 of the demand factor analysis system 1 receives the power data and the measurement date / time data from the power amount measuring apparatus 20, the power data receiving unit 11 outputs the received power data and the measurement date / time data to the power data recording unit 12. The power data recording unit 12 records the power data input from the power data receiving unit 11 and the measurement date data in the power data storage device 18 in association with each other (step S12).
Thereby, in the power data storage device 18, power data representing the amount of power used in units of 30 minutes for each of the rectifier 31, the dryer 32, the air conditioner 33, and the illumination 34 is recorded in association with the measurement date and time.

When the power data and measurement date / time data for one year are recorded in the power data storage device 18 as described above, the yearly maximum power generation date / time extraction unit 13 extracts the power data from the power data storage device 18 for each measurement date / time. Based on the read power data, a total value of power consumption of the rectifier 31, the dryer 32, the air conditioner 33, and the illumination 34 (hereinafter referred to as “total power consumption value”) is obtained. When the annual maximum power generation date and time extraction unit 13 obtains the total power consumption value for each measurement date and time in one year in this way, the maximum power consumption amount of the previous year is obtained by finding the maximum value of the total power consumption value. (Maximum load) is obtained.
Thereafter, the yearly maximum power generation date and time extraction unit 13 reads the measurement date and time data associated with the power data indicating the determined maximum power consumption from the power data storage device 18, thereby the date and time when the maximum power consumption was consumed. The annual maximum power generation date and time (demand generation date and time) is obtained (step S13).

FIG. 3 is a graph showing an example of the amount of power used for one year obtained by the yearly maximum power generation date and time extraction unit 13. In this example, the maximum power consumption is 670 kW, and the yearly maximum power generation date is 14:30 on August 8.
For the sake of simplicity, the operation of the demand factor analysis system 1 will be described below using the example shown in FIG.

  The annual maximum power generation date and time data representing the annual maximum power generation date and time (August 8, 14:30) is transferred from the annual maximum power generation date and time extraction unit 13 to the power consumption ratio ranking unit 14 and the power increase amount ranking unit 15. Is output.

The power consumption ratio ranking unit 14 searches the power data storage device 18 based on the annual maximum power generation date / time data input from the annual maximum power generation date / time extraction unit 13 to obtain “8/8 14:30”. Power data associated with the measurement date and time data representing "." Thereafter, the power consumption rate ranking unit 14 obtains a power consumption rate by load indicating the power consumption rate for each of the rectifier 31, the dryer 32, the air conditioner 33, and the illumination 34 based on the acquired power data.
In FIG. 4, an example of the power consumption ratio according to load calculated | required in the power consumption ratio ranking part 14 is shown with a pie chart. In this example, the power consumption ratio by load is 45% for the rectifier 31, 33% for the dryer 32, 15% for the air conditioning 33, and 7% for the lighting 34.

  Thereafter, the power consumption ratio ranking unit 14 ranks the rectifier 31, the dryer 32, the air conditioner 33, and the lighting 34 in descending order of the calculated power consumption ratio by load, and ranks the rectifier 31, the dryer 32, and the air conditioner 33. And the power consumption ratio ranking data by load indicating the rank of the lighting 34 (in the example shown in FIG. 4, the rectifier 31 is first, the dryer 32 is second, the air conditioner 33 is third, and the lighting 34 is fourth. (Data representing a certain thing) is generated (step S14).

In addition, when the annual maximum power generation date and time data representing the annual maximum power generation date and time (August 8, 14:30) is input from the annual maximum power generation date and time extraction unit 13, the power increase amount ranking unit 15 Measurement date and time data representing "August 8 14:25" 30 minutes before the maximum power generation date and time, and measurement date and time data representing "August 8 14:30" which is the annual maximum power generation date and time, respectively The associated power data is acquired from the power data storage device 18. Thereafter, the power increase amount ranking unit 15 determines the measurement date and time representing “August 8 14:25” from the power data associated with the acquired measurement date and time data representing “August 8 14:30”. By subtracting the power data associated with the data, the power increase amount from 14:25 on Aug. 8 to 30:30 for 14:30 for each of the rectifier 31, the dryer 32, the air conditioner 33 and the lighting 34 is obtained.
FIG. 5 is a graph showing an example of a time transition on August 8 of the power consumption for each of the rectifier 31, the dryer 32, the air conditioner 33, and the lighting 34 obtained by the power increase amount ranking unit 15. In this example, the amount of increase in power at 14:30 increases in the order of the dryer 32, the air conditioner 33, the illumination 34, and the rectifier 31.

  Thereafter, the power increase amount ranking unit 15 ranks the rectifier 31, the dryer 32, the air conditioner 33 and the lighting 34 in descending order of the calculated power increase amount, and then ranks the rectifier 31, the dryer 32, the air conditioner 33 and Power increase ranking data indicating the rank of the lighting 34 (in the example shown in FIG. 5, the dryer 32 is first, the air conditioning 33 is second, the lighting 34 is third, and the rectifier 31 is fourth. (Representative data) is generated (step S15).

Subsequently, the demand factor ranking unit 16 includes the rank represented by the power consumption rate ranking data by load input from the power consumption rate ranking unit 14 and the power increase amount ranking data input from the power increase amount ranking unit 15. Is calculated for each of the rectifier 31, the dryer 32, the air conditioner 33, and the illumination 34.
In the example shown in FIGS. 4 and 5, the total value of the ranks of the rectifier 31 is 5 (= 1st place + 4th place), and the total value of the ranks of the dryer 32 is 3 (= 2nd place + 1st place) The total value of the rank of the air conditioner 33 is 5 (= 3rd + 2nd), and the total value of the rank of the lighting 34 is 7 (= 4th + 3rd).

Thereafter, the demand factor ranking unit 16 generates the demand factor ranking data by ranking the rectifier 31, the dryer 32, the air conditioner 33, and the lighting 34 in ascending order of the total value of the obtained ranks (step S16). ).
In the example shown in FIGS. 4 and 5, demand factor ranking data indicating that the dryer 32 is first, the air conditioner 33 is second, the rectifier 31 is third, and the illumination 34 is fourth is generated. The The total value of the ranks of the rectifier 31 and the air conditioner 33 is the same as “5”. However, in the demand factor ranking, the air conditioner 33 having the second highest power increase rank ranks the demand factor rank. Is also ranked high.

  Subsequently, the display unit 17 generates demand factor ranking screen data representing a demand factor ranking screen indicating the rank of the demand factor based on the demand factor ranking data input from the demand factor ranking unit 16 (step S17). .

Thereafter, the demand factor ranking screen data is output from the display unit 17 to the display device, whereby the demand factor ranking screen is displayed on the display device (step S18).
FIG. 6 shows an example of the demand factor ranking screen displayed on the display device in the example shown in FIGS. Thereby, the person in charge of the electric power company can easily specify that the dryer 32 is the demand factor with reference to the demand factor ranking screen displayed on the display device.

The following changes may be made to the demand factor analysis system 1 described above.
(1) A power increase rate ranking unit is provided instead of the power increase amount ranking unit 15 shown in FIG.
In this case, the power increase rate ranking unit searches the power data storage device 18 based on the yearly maximum power generation date / time data input from the yearly maximum power generation date / time extraction unit 13 and determines the yearly maximum power generation date / time data. The power data at the yearly maximum power generation date and time represented by is obtained, and the power increase rate for 30 minutes at the yearly maximum power generation date and time for each measurement target electrical device is obtained based on the acquired power data. The power increase rate ranking unit 15 ranks the measurement target electrical devices in descending order of the calculated power increase rate, and generates power increase rate ranking data representing the rank of the ranked measurement target electrical devices. The power increase rate ranking data is output to the demand factor ranking unit 16.

The demand factor ranking unit 16 determines the demand factor based on the power consumption rate ranking data by load input from the power consumption rate ranking unit 14 and the power increase rate ranking data input from the power increase rate ranking unit. Demand factor ranking data representing the ranking is generated.
That is, the demand factor ranking unit 16 obtains a total value of the rank represented by the load-based power consumption ratio ranking data and the rank represented by the power increase rate ranking data for each electric device to be measured, and the total value of the obtained ranks Demand factor ranking data is generated by ranking the measurement target electric devices in ascending order. When the total rank value is the same, the measurement target electrical device having the higher rank of the power increase rate is also ranked higher in the rank of the demand factor.

(2) The power increase rate ranking unit described above is further provided.
In this case, the demand factor ranking unit 16 includes the power consumption rate ranking data classified by load input from the power consumption rate ranking unit 14, the power increase rate ranking data input from the power increase amount ranking unit 15, and the power. Based on the power increase rate ranking data input from the increase rate ranking unit, demand factor ranking data representing the rank of demand factors is generated.
That is, the demand factor ranking unit 16 is represented by the rank represented by the power consumption rate ranking data by load, the rank represented by the power increase rate ranking data, and the power increase rate ranking data input from the power increase rate ranking unit. Demand factor ranking data is generated by determining the total value of the rank for each measurement target electric device and ranking the measurement target electric devices in ascending order of the calculated total value of the rank. If the total rank is the same, the measurement target electrical equipment with the higher rank of power increase or the rank of power increase rate, or the sum of the rank of power increase and the rank of power increase rate The measurement target electrical device with a smaller value is also ranked higher in the rank of demand factors.

(3) Instead of the annual maximum power generation date and time extraction unit 13 shown in FIG.
In this case, the extraction unit for generating the maximum weekly cumulative power is obtained after obtaining the accumulated power consumption for one week based on the power data recorded in the power data storage device 18 as shown in FIG. In addition, the maximum value (cumulative maximum power consumption) of the cumulative power consumption for one week is obtained. In addition, the weekly maximum accumulated power generation time extraction unit reads the measurement date / time data associated with the power data indicating the calculated accumulated maximum power consumption from the power data storage device 18 and is represented by the read measurement date / time data. The measurement time is the time when the maximum accumulated power is generated per week.
The example shown in FIG. 7 is for the case where the electrical equipment to be measured is the rectifier 31, the dryer 32, the air conditioner 33, and the illumination 34 shown in FIG. (See FIG. 9).

The power consumption ratio ranking unit 14 searches the power data storage device 18 based on the weekly maximum cumulative power generation time data input from the weekly maximum cumulative power generation time extraction unit, and is represented by the weekly maximum cumulative power generation time data. The power data at the time when the maximum accumulated power is generated in a week is acquired, and the power consumption ratio by load is obtained based on the acquired power data. FIG. 8 is a pie chart showing the power consumption ratio by load obtained in the example shown in FIG.
In addition, the power consumption ratio ranking unit 14 ranks the measurement target electric devices in descending order of the calculated power consumption ratios by load, and generates load-specific power consumption ratio ranking data representing the ranking of the ranked measurement target electric devices. After that, the generated power consumption ratio ranking data by load is output to the demand factor ranking unit 16.
In the example shown in FIG. 8, the rectifier 31 is first (the power consumption rate by load = 43%), the dryer 32 is second (the power consumption rate by load = 34%), and the air conditioner 33 is third (load). Another power consumption ratio = 15%), and the lighting 34 is ranked fourth (power consumption ratio by load = 8%).

The power increase amount ranking unit 15 searches the power data storage device 18 based on the weekly maximum cumulative power generation time data input from the weekly maximum cumulative power generation time extraction unit, and is represented by the weekly maximum cumulative power generation time data. Power data at the time of generation of the maximum weekly cumulative power is obtained, and a power increase amount for 30 minutes at the time of generation of the weekly maximum cumulative power for each measurement target electric device is obtained based on the acquired power data.
The power increase amount ranking unit 15 ranks the measurement target electric devices in descending order of the calculated power increase amount, and generates power increase amount ranking data representing the ranking of the ranked measurement target electric devices. The increased power ranking data is output to the demand factor ranking unit 16.
In the example shown in FIG. 9, the dryer 32 is first, the air conditioner 33 is second, the illumination 34 is third, and the rectifier 31 is fourth.

FIG. 10 shows an example of the demand factor ranking screen displayed on the display device in the examples shown in FIGS. In this example, the dryer 32 is first, the air conditioner 33 is second, the rectifier 31 is third, and the illumination 34 is fourth.
Thereby, the person in charge of the electric power company can easily analyze the demand factor even for customers who cannot measure the amount of electric power used by the measurement target electric equipment throughout the year.

  In this case as well, as described in (1) above, a power increase rate ranking unit may be provided instead of the power increase amount ranking unit 15, or as described in (2) above. A power increase rate ranking unit may be further provided.

(4) A daily maximum power generation time extraction unit and a daily demand factor display unit are further provided.
In this case, the daily maximum power generation time extraction unit obtains the daily maximum power consumption (maximum load) based on the power data recorded in the power data storage device 18, and the maximum power consumption. The measurement date and time data associated with the power data indicating the quantity is read from the power data storage device 18, and the measurement time represented by the read measurement date and time data is defined as the daily maximum power generation time.

The power consumption ratio ranking unit 14 searches the power data storage device 18 based on the daily maximum power generation time data input from the daily maximum power generation time extraction unit, and is represented by the daily maximum power generation time data. The power data at the time when the maximum daily power is generated is acquired, and the daily power consumption ratio by load is obtained based on the acquired power data.
The power consumption rate ranking unit 14 ranks the measurement target electrical devices in descending order of the calculated daily power consumption rate by load, and indicates the rank of the ranked measurement target electrical devices. After generating the ranking data, the generated daily load-specific power consumption ratio ranking data is output to the demand factor ranking unit 16.

The power increase amount ranking unit 15 searches the power data storage device 18 based on the daily maximum power generation time data input from the time of daily maximum power generation, and the day represented by the daily maximum power generation time data. Power data at the time of generating another maximum power is acquired, and a power increase amount for 30 minutes at the time of generating the daily maximum power for each measurement target electric device is obtained based on the acquired power data.
Further, the power increase amount ranking unit 15 ranks the measurement target electrical devices in descending order of the calculated power increase amount, and generates daily power increase amount ranking data representing the ranking of the ranked measurement target electrical devices. The generated daily power increase ranking data is output to the demand factor ranking unit 16.

  The demand factor ranking unit 16 is based on the daily load-specific power consumption rate ranking data input from the power consumption rate ranking unit 14 and the daily power increase amount ranking data input from the power increase amount ranking unit 15. After generating daily demand factor ranking data representing the rank of daily demand factors, the generated daily demand factor ranking data is output to the daily demand factor display section.

The daily demand factor display unit is based on the daily maximum power data input from the daily maximum power generation extraction unit and the daily demand factor ranking data input from the demand factor ranking unit 16. Daily demand factor ranking screen data representing a daily demand factor ranking screen showing the usage amount and the ranking of the daily demand factor is generated, and the generated daily demand factor ranking screen data is output to a display device.
FIG. 11 shows an example of a daily demand factor ranking screen showing the daily maximum usage for one year and the ranking of daily demand factors.
Thereby, the person in charge of an electric power company can grasp the fluctuation of the demand factor for every day and the fluctuation of the demand factor for every season, for example, and can use it for an electric power diagnosis work.

  In this case as well, as described in (1) above, a power increase rate ranking unit may be provided instead of the power increase amount ranking unit 15, or as described in (2) above. A power increase rate ranking unit may be further provided, or a weekly maximum cumulative power generation time extraction unit may be provided instead of the annual maximum power generation date and time extraction unit 13 as described in (3) above.

  In the above description, the electric appliances to be measured are ranked in descending order of the power consumption ratio by load and the power increase amount in the power consumption rate ranking unit 14 and the power increase amount ranking unit 15, and the load in the demand factor ranking unit 16 The electric devices to be measured are ranked in ascending order of the total value of the rank of the different power consumption ratio and the rank of the power increase. In the demand factor ranking unit 16, the numerical value of the power consumption ratio by load and the numerical value of the power increase For example, the measurement target electrical devices may be ranked in descending order of the total value (for example, a numerical value expressed as a percentage for each measurement target electrical device).

  Further, although the power data and the measurement date / time data are transmitted from the power amount measuring device 20 to the demand factor analysis system 1 via the communication line 30, the power data and the measurement date / time data are input to the demand factor analysis system 1 using the input device. May be.

  As described above, the demand factor analysis system and the demand factor analysis method of the present invention can be used, for example, to specify an electrical device that is a factor of maximum demand power.

It is a figure which shows the structure of the demand factor analysis system by one Example of this invention. Example 1 It is a flowchart for demonstrating operation | movement of the demand factor analysis system 1 shown in FIG. Example 1 3 is a graph for explaining an example of the amount of electric power used for one year obtained by an annual maximum power generation date and time extraction unit 13 shown in FIG. 1. Example 1 It is a pie chart for demonstrating an example of the power consumption ratio according to load calculated | required in the power consumption ratio ranking part 14 shown in FIG. Example 1 It is a graph for demonstrating an example of the time transition in August 8 of the used electric energy for every rectifier 31, the dryer 32, the air conditioning 33, and the illumination 34 calculated | required in the electric power increase amount ranking part 15 shown in FIG. is there. Example 1 It is a figure which shows an example of the demand factor ranking screen displayed on a display apparatus in the example shown in FIG. 4 and FIG. Example 1 It is a graph for demonstrating an example of the accumulated electric power consumption of one week calculated | required in the extraction part at the time of weekly maximum accumulated electric power generation. It is a pie chart for demonstrating the electric power consumption ratio according to load calculated | required in the example shown in FIG. It is a graph for demonstrating an example of the time transition of the accumulated electric power consumption for every rectifier 31, the dryer 32, the air conditioning 33, and the illumination 34 in the example shown in FIG. It is a figure which shows an example of the demand factor ranking screen displayed on a display apparatus in the example shown in FIGS. It is a figure which shows an example of the daily demand factor ranking screen which shows the order of the daily maximum usage amount and daily demand factor for one year.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 Demand factor analysis system 11 Electric power data receiving part 12 Electric power data recording part 13 Annual maximum electric power generation date extraction part 14 Electric power consumption ratio ranking part 15 Electric power increase amount ranking part 16 Demand factor ranking part 17 Display part 18 Electric power data storage Device 20 Energy meter 21 Recording energy meter 22 Power data transmitter 31 Rectifier 32 Dryer 33 Air conditioner 34 Illumination S11 to S18 Steps

Claims (10)

Power data recording means for recording in the power data storage device (18) power data representing the amount of power used measured every predetermined time and for each electrical device to be measured;
Based on the power data recorded in the power data storage device, obtain a power consumption rate by load, which is a power consumption rate for each of the measurement target electrical devices during the time when the total value of the power consumption is maximized, Obtaining the power increase amount and / or power increase rate for each of the measurement target electrical devices during the time when the total value of the power consumption is maximized, and determining the obtained power consumption rate by load and the obtained power increase amount A demand factor ranking means for ranking the electrical equipment to be measured with respect to the demand factor based on the power increase rate;
A demand factor analysis system comprising: The power data recording means records the measurement date and time data representing the measurement date and time when the power consumption was measured and the power data in association with each other and records the data in the power data storage device;
The demand factor ranking means is
Based on the power data recorded in the power data storage device, the maximum amount of power used in the previous year is obtained, and is recorded in the power data storage device in association with the power data indicating the determined maximum power consumption. An annual maximum power generation date and time extraction unit (13) for obtaining the measurement date and time represented by the measurement date and time data as the annual maximum power generation date and time,
Obtaining power data at the yearly maximum power generation date and time obtained by the yearly maximum power generation date and time extraction unit from the power data storage device, obtaining a power consumption rate by load based on the obtained power data, and obtaining the obtained load A power consumption rate ranking unit (14) that ranks the electrical devices to be measured in descending order of another power consumption rate; and
Obtaining the power data at the yearly maximum power generation date and time obtained by the yearly maximum power generation date and time extraction unit from the power data storage device, and based on the acquired power data, the yearly maximum power generation date and time for each measurement target electrical device A power increase amount ranking unit (15) for determining a power increase amount in order to rank the measurement target electric devices in descending order of the calculated power increase amount;
A total value of the ranking ranked by the power consumption ratio ranking unit and the ranking ranked by the power increase ranking unit is determined for each measurement target electrical device, and the calculated total value is in ascending order. A demand factor ranking unit (16) for ranking electric devices to be measured,
The demand factor analysis system according to claim 1, wherein: The demand factor ranking means obtains the cumulative power consumption for one week based on the power data recorded in the power data storage device instead of the annual maximum power generation date and time extracting unit, And a weekly maximum cumulative power generation time extraction unit for determining the measurement time represented by the measurement date and time data associated with the power data indicating the calculated cumulative maximum power consumption as the weekly maximum cumulative power generation time,
The power consumption ratio ranking unit acquires power data at the time of weekly maximum cumulative power generation obtained from the weekly maximum cumulative power generation time extraction unit from the power data storage device, and loads based on the acquired power data Obtain another power consumption ratio, rank the measurement target electrical equipment in descending order of the obtained power consumption ratio by load,
The power increase amount ranking unit obtains power data at the time of weekly maximum cumulative power generation obtained from the weekly maximum cumulative power generation time extraction unit from the power data storage device, and measures based on the acquired power data Obtaining the amount of power increase at the time of the weekly maximum accumulated power generation for each target electric device, and ranking the measurement target electric device in descending order of the obtained power increase amount,
The demand factor analysis system according to claim 2, wherein: The demand factor ranking means obtains, from the power data storage device, power data at the yearly maximum power generation date and time determined by the yearly maximum power generation date and time extraction unit instead of the power increase amount ranking unit, A power increase rate ranking unit that obtains a power increase rate at the yearly maximum power generation date and time for each measurement target electrical device based on the acquired power data, and ranks the measurement target electrical device in descending order of the calculated power increase rate With
The demand factor ranking unit obtains a total value of the rank ranked by the power consumption rate ranking unit and the rank ranked by the power increase rate ranking unit for each measurement target electric device, Rank the electrical devices to be measured in ascending order of the total value obtained,
The demand factor analysis system according to claim 2 or 3, characterized by the above-mentioned. The demand factor ranking means obtains power data at the yearly maximum power generation date and time obtained by the yearly maximum power generation date and time extraction unit from the power data storage device, and based on the acquired power data, the measurement target electricity Obtaining a power increase rate at the annual maximum power generation date and time for each device, further comprising a power increase rate ranking unit that ranks the measurement target electrical devices in descending order of the calculated power increase rate,
The demand factor ranking unit is ranked by the power consumption rate ranking unit, the rank ranked by the power increase ranking unit, and the rank ranked by the power increase rate ranking unit. For each measurement target electrical device, and rank the measurement target electrical device in ascending order of the total value obtained,
The demand factor analysis system according to claim 2 or 3, characterized by the above-mentioned. Based on the power data recorded in the power data storage device, the maximum power consumption for each day is obtained, and is represented by measurement date and time data associated with the power data indicating the obtained maximum power consumption. Further comprising a daily maximum power generation time extraction unit for obtaining the measurement time as the daily maximum power generation time,
The power consumption ratio ranking unit obtains power data at the time of daily maximum power generation determined by the daily maximum power generation time extraction unit from the power data storage device, and based on the acquired power data Obtaining the power consumption rate by different load, further ranking the measurement target electrical equipment in descending order of the obtained daily power consumption rate by load,
The power increase amount ranking unit acquires power data at the time of daily maximum power generation determined by the daily maximum power generation time extraction unit from the power data storage device, and based on the acquired power data Obtain the amount of power increase at the time of daily maximum power generation for each electrical device to be measured, further rank the electrical devices to be measured in descending order of the obtained power increase amount,
The demand factor ranking unit obtains a total value of the ranking ranked by the power consumption ratio ranking unit and the ranking ranked by the power increase ranking unit for each electric device to be measured, Rank the electrical devices to be measured in ascending order of the total value obtained,
The demand factor analysis system according to any one of claims 1 to 5, wherein By load, which is the power consumption ratio for each of the measurement target electrical devices during the time when the total value of the power consumption is maximized based on the power consumption measured for each predetermined time and for each measurement target electrical device A first step of determining a power consumption rate;
A second step of obtaining a power increase amount and / or a power increase rate for each electric device to be measured during the time when the total value of the power consumption is maximum;
A third step of ranking the electrical equipment to be measured with respect to demand factors based on the calculated power consumption rate by load and the calculated power increase amount and / or power increase rate;
The demand factor analysis method characterized by comprising. The first step comprises:
Based on the power consumption measured for each measurement target electrical device, the maximum power consumption of the previous year was obtained, and the power consumption for each measurement target electrical device indicating the determined maximum power consumption was measured. Obtaining a measurement date and time as an annual maximum power generation date and time (S13);
Obtaining a power consumption rate by load based on the amount of power used for each of the measurement target electrical devices measured at the obtained annual maximum power generation date and time, and measuring the electrical devices to be measured in descending order of the obtained power consumption rate by load And ranking (S14),
The second step includes an amount of power increase at an annual maximum power generation date and time for each measurement target electrical device based on an amount of power used for each of the measurement target electrical devices measured at the determined annual maximum power generation date and time, and And / or determining a power increase rate, and ranking the measurement target electrical devices in order of increasing power increase amount and / or increasing power increase rate determined (S15),
In the third step, the ranking ranked in descending order of the power consumption ratio by load, the ranking ranked in descending order of the power increase amount, and / or the ranking ranked in descending order of the power increasing rate. A step (S16) of determining the total value of the measurement target electric devices for each of the measurement target electric devices, and ranking the measurement target electric devices in ascending order of the calculated total values.
The demand factor analysis method according to claim 7, wherein: The first step comprises:
Instead of the step (S13) of obtaining the yearly maximum power generation date and time, the cumulative maximum power consumption is obtained by obtaining the cumulative power consumption for one week based on the power consumption and determining the cumulative maximum power consumption thus obtained. Including the step of obtaining the time when the electric power consumption for each of the indicated measurement target electric devices is measured as the time when the maximum accumulated electric power is generated per week,
Instead of ranking the measurement target electric devices in descending order of the power consumption ratio by load (S14), the load is based on the power consumption for each measurement target electric device at the time of the maximum weekly cumulative power generation. Determining another power consumption rate, and ranking the measurement target electric devices in descending order of the determined power consumption rate by load,
Instead of the step (S16) in which the third step ranks the measurement target electric devices in ascending order of the total value, the amount of electric power used for each measurement target electric device at the time when the obtained weekly maximum accumulated power is generated Determining the amount of power increase at the time of the weekly maximum accumulated power generation for each of the measurement target electrical devices based on, and ranking the measurement target electrical devices in descending order of the calculated power increase amount,
The demand factor analysis method according to claim 8, wherein: Based on the power consumption for each measurement target electrical device, the maximum power consumption for each day is obtained, and the time for which the power consumption for each measurement target electrical device indicating the determined maximum power consumption is measured A step for determining the maximum daily power generation time,
A power consumption rate by day load is determined based on the amount of power used for each of the measurement target electrical devices at the time when the maximum daily power generation is determined, and the measurement target electricity is calculated in descending order of the calculated daily power consumption rate by load. Further ranking the equipment;
Based on the obtained daily power consumption at the time of maximum power generation, a power increase amount at the time of daily maximum power generation for each of the measurement target electrical devices is determined, and the measurement target electrical devices in descending order of the determined power increase amount A further ranking step,
A total value of the ranking ranked with respect to the power consumption rate according to the daily load and the ranking ranked with respect to the power increase amount is obtained for each measurement target electrical device, and the measurement targets are in order of increasing the calculated total value. Further ranking the electrical equipment;
The demand factor analysis method according to claim 7, further comprising:

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