JP2009050064A - Distribution system status estimating device - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a means for accurately estimating the actual amount of load in a section in which customers equipped with photovoltaic power generation devices by measuring the electricity generated by only some of the photovoltaic power generation devices, not by all the photovoltaic power generation devices. <P>SOLUTION: A distribution system status estimating device includes: a data collecting means for collecting the electric energy of each customer and the electricity generated by the photovoltaic power generation device thereof; electricity generated correlation model data that provides the relation of the electricity generated by each photovoltaic power generation device; and an amount of electricity photovoltaically generated estimating means for estimating the amounts of electricity generated by the other photovoltaic power generation devices using the above electricity generated correlation model data and the electricity generated by the photovoltaic power generation device. <P>COPYRIGHT: (C)2009,JPO&INPIT

Description

  The present invention relates to a power distribution system state estimation device, and more particularly to a power distribution system state estimation device that estimates a total load amount and a total power generation amount in each section of a power distribution system in which power generation facilities are installed.

  The power distribution system is basically a facility that supplies power to each consumer from a higher system having a higher voltage level via a transformer, a high voltage distribution line, a transformer, and a low voltage distribution line. On the distribution line, switches are installed in various places, and the power supply path is controlled by changing the on / off state of the switches.

  When the power supply path is changed, the electrical state (current, voltage, etc.) of each facility in the distribution system changes. Therefore, the power supply path is controlled in consideration of whether the capacity constraint of each facility can be satisfied, whether the power loss can be minimized, whether the power failure point can be minimized, and the like.

  At this time, where and how many load facilities are connected to the distribution line, and how much load they are currently in, greatly affects the electrical state of each facility of the power system. Conventionally, however, the measurement equipment is not sufficiently installed on the power distribution system, so the resolution is poor. Therefore, conventionally, the estimation is performed by the following method. First, the distribution line is divided into areas sandwiched between two switches (hereinafter referred to as sections), the total contracted capacity of consumers linked to each section is calculated, and the distribution current of the distribution substation is measured Then, the distribution substation delivery current value is apportioned by the ratio of the contracted total capacity of each section to obtain the load current of each section.

  This method uses the contracted capacity of the consumer and does not reflect the actual load, so the actual results may differ from the estimation results depending on how the load equipment is used by the consumer at that time. . On the other hand, as a technique for assuming a load for each section of the distribution system, Japanese Patent Application Laid-Open No. 2006-204039 discloses a daily load of non-measurement consumers in a distribution system in which measurement consumers and non-measurement consumers are mixed. A method has been proposed that assumes the daily load measurement data of measurement consumers. In particular, it is similar to non-measurement consumers due to the annual fluctuation (variation pattern and absolute value) of monthly power consumption of non-measurement consumers and the annual fluctuation (variation pattern and absolute value) of monthly power consumption of measurement consumers. It has been proposed that a measurement consumer to be selected is selected and the daily load of the non-measurement consumer is assumed using the daily load data.

JP 2006-204039 A

  In recent years, power generation equipment such as solar power generation equipment is often installed on the terminal side of the distribution system. For the section where such power generation facilities are connected, the measuring device installed on the high-voltage distribution line will observe the current and voltage that offset the power generation amount from the load amount of the consumer. The amount of load, that is, the amount of load before canceling the power generation amount is not known. In addition, the ratio of the power generation capacity to the customer contract capacity can vary from customer to customer, and even for the same customer, the amount of power generation varies with time. In the method according to, it is difficult to estimate the load amount in the section with high accuracy.

  In addition, it is practically difficult to measure the power generation amount of all the power generation facilities and collect the data online because it is expensive.

  The object of the present invention is to measure the actual load amount in the section where the customers where the photovoltaic power generation facilities are connected, without measuring the power generation amount of all the solar power generation facilities. The object is to provide a means for measuring the power generation amount of only equipment and estimating it with high accuracy.

  One feature of the present invention is that data collection means for collecting the amount of power of a consumer and the amount of power generated by a solar power generation facility, power generation amount correlation model data that gives a relationship between the amount of power generation of the solar power generation facility, and the amount of power generation Solar power generation amount estimation means for estimating the power generation amount of another solar power generation facility using the correlation model data and the power generation amount of the solar power generation facility is provided.

  The other features of the present invention will be described in detail in the section of the best mode for carrying out the invention.

  According to the present invention, the actual load amount in the section where the customers where the photovoltaic power generation facilities are installed are linked, without measuring the power generation amount of all the photovoltaic power generation facilities, It is possible to provide means for measuring the power generation amount of only the equipment and estimating it with high accuracy.

  Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings.

  FIG. 1 is an overall configuration diagram of a power distribution system to which the present invention is applied and a power distribution system state estimation apparatus 1 according to an embodiment of the present invention.

  In this example, the distribution system is divided into a high-voltage distribution system and a low-voltage distribution system with the transformer 314 as a boundary.

  In the high voltage distribution system, a high voltage distribution line 311, a bus 312, a transformer 313, a circuit breaker 315, and switches 321 to 325 are installed. The switch 325 is always open during normal times, and the switches 321 to 324 are normally turned on. The high-voltage distribution line 311 can be divided into several areas separated by two adjacent switches. In FIG. 1, a section 331 sandwiched between the switch 321 and the switch 322, a section 332 sandwiched between the switch 322 and the switch 323, a section 333 sandwiched between the switch 323 and the switch 324, the switch 324 and the switch 325. These are the four areas of the section 334 sandwiched between the two.

  A low voltage distribution system including a low voltage distribution line 316 and the like is connected to the section 332 through a transformer 314. Three customers, a customer 340, a customer 350, and a customer 360, are connected to the low-voltage distribution line 316.

  In addition to load facilities that consume electricity, each customer is installed with solar power generation facilities.

  For example, the consumer 340 is provided with a solar power generation facility 341, a WHM 342, and a terminal station 343.

  The solar power generation facility 341 is a facility that generates power by receiving sunlight.

  The WHM 342 is a watt hour meter that measures the amount of power that flows between the low voltage distribution line 316 and the customer 340 within a certain period of time. As the fixed time, for example, 1 hour, 30 minutes, 5 minutes, 1 minute, and the like are considered. Also, the amount of power for each time zone is measured by dividing the day into several time zones, such as from 8am to 13:00, 13:00 to 17:00, 17:00 to 22:00, and 22:00 to 8:00. It is also possible to do. In the following, in order to simplify the description, the description will be made taking 30 minutes as an example. Also, the amount of power per 30 minutes is referred to as the value of 30 minutes for the amount of power.

  The WHM 342 is installed at the boundary between the consumer 340 and the low-voltage distribution line 316, and is a value obtained by subtracting the amount of power generated by the photovoltaic power generation facility 341 from the amount of power consumed by the load facility of the consumer 340. Is measured.

  The terminal station 343 is a communication device that transmits the 30-minute power amount measured by the WHM 342 to the distribution system state estimation device 1 via the communication network 2. The 30-minute power amount value may be transmitted immediately after the measurement, or the 30-minute power amount value within a certain period is stored in the own device and transmitted to some extent after a certain time. Also good.

  The same applies to the customer 360.

  The consumer 350 is different in that a high function terminal station 353 is installed instead of the terminal station 343 in the consumer 340 and a solar radiation intensity sensor 356 is installed. The high function terminal station 353 takes in the power generation amount of the solar power generation equipment 351 from the solar power generation equipment 351 in addition to the power amount of 30 minutes measured by the WHM 352 and distributes the power generation state via the communication network 2. It transmits to the estimation apparatus 1. As with the amount of power generation, the amount of power generation within various times can be considered, as well as the amount of power generation. Here, the amount of power generation per 30 minutes (hereinafter referred to as a power generation amount of 30 minutes) will be described as an example. It is conceivable that the amount of power generated by the solar power generation facility 351 can be obtained by the high function terminal station 353 as follows. That is, power generation characteristic data of the solar power generation equipment 351 (data for associating the solar power generation equipment 351 with the solar radiation intensity) is preliminarily provided in the high function terminal station 353, and using this, the solar power intensity sensor is used. It can be considered that the amount of power generation corresponding to the value of the solar radiation intensity indicated by 356 is obtained. FIG. 2 shows an example of a calculation formula for obtaining a power generation amount value from the power generation characteristic data and the solar radiation intensity for 30 minutes. In this power generation characteristic data, for example, when the solar radiation intensity = 15, the power generation amount 30 minutes value = 25 is obtained, and when the solar radiation intensity = 25, the power generation amount 30 minutes value = 32.5 is obtained.

  Next, the configuration of the distribution system state estimation device 1 will be described.

  The distribution system state estimation device 1 includes a data collection device 13, a recording device 12, an input device 14, an output device 15, and an estimation processing device 11.

  The data collection device 13 receives the 30-minute power amount data and the 30-minute power generation amount data transmitted from the terminal station 343, the terminal station 363, and the high-function terminal station 353 via the communication network 2, and the recording device 12 To store. These are the power amount data 124 and the power generation amount data 125.

  In addition, the recording device 12 stores, as the power generation facility data 122, the maximum power generation amount data of the solar power generation facility of each customer, the above-described power generation characteristic data, and the like, and as the section information data 121, each of the distribution systems. Information on customers connected to the section is stored, and further, power generation amount correlation model data 123 is stored. As customer information, customer contract information such as contract capacity, information on power generation facilities owned, installation status of high-function terminals, and the like are stored.

  The power generation amount correlation model data is data for giving a relationship between the power generation amounts for the same 30 minutes of two solar power generation facilities. Before the estimation processing is performed by the estimation processing device 11, it is stored in the recording device in advance. FIG. 3 shows three examples of correlation model data of the power generation amounts of the solar power generation facility 341 and the solar power generation facility 351.

  (1) is an example in which an approximate expression obtained by plotting past results of the power generation amount of 30 minutes of two photovoltaic power generation facilities and obtained by the least square method or the like is used as correlation model data. In this example, the approximate expression is a linear expression, but a quadratic expression or other approximate expression may be used.

  (2) is an example in which an approximate expression of power generation rate 30-minute values is used as correlation model data instead of the power generation amount 30-minute value in (1). The power generation rate refers to the ratio of the actual power generation amount to the maximum power generation amount of the solar power generation facility, and the power generation rate 30 minutes value is the average value of the power generation rates for each 30 minutes.

  In the example of (1) and (2), it is assumed that data is collected by measuring the power generation amount of each photovoltaic power generation facility in advance for a certain period of time, and this is used as a past performance value. Yes.

  (3) is simply to make the power generation rate 30 minute values of the two photovoltaic power generation facilities the same. Since it is not necessary to measure the actual power generation amount or power generation rate of the solar power generation facility, it is effective when past performance values cannot be used for some reason.

  If there are two or more solar power generation facilities to be measured, the power generation amount of other unmeasured solar power generation facilities may be estimated using the two or two or more measurement data. Conceivable.

  By using this power generation amount correlation model data, the solar power generation facilities for monitoring the power generation amount are limited, and other solar power generation facilities can estimate accurately using the monitored data and the power generation amount correlation model data. be able to. This is because the intensity of solar radiation to two solar power generation facilities installed in the same place changes in the same way, so it can be expected that the amount of power generation will move in a similar way Because. The effects of differences in maximum power generation and differences in the installation status (installation angle, etc.) of solar power generation equipment are modeled using actual data after reflecting those effects. It can be said that it has already been absorbed.

  The input device 14 is a device that inputs estimation processing conditions and execution instructions to the estimation processing device 11.

  The output device 15 is a device that displays the result of the estimation process.

  The power distribution system 4 monitors, controls, and plans the power distribution system. For example, the state such as the on / off state value of the switch and the measured value (current value, voltage value, electric energy, etc.) of the sensor installed on the distribution line Control is performed such as collecting values, estimating state values of each point of the distribution system that are not measured based on the collected data, and changing the on / off state of the switch.

  When the estimation processing execution instruction is given from the input device or when the estimation processing execution instruction is given from an external system such as the power distribution system 4, the estimation processing device 11 is a recording device according to the given condition. Is used to estimate the total load and power generation amount of a section on the distribution system specified by the execution command, and display the results on the output device. Processing to return to the system 4 is performed.

  The estimation processing device 11 includes an estimation control unit 111, a photovoltaic power generation amount estimation unit 112, a consumer load amount estimation unit 113, and a section state estimation unit 114.

  An execution command to the estimation control unit 111 is performed by specifying a target section and a target time for state estimation. Here, a case will be described as an example in which an execution command for state estimation of the latest 30 minutes value of the section 332 is given to the estimation control unit 111.

  Details of processing of the estimation control unit 111 will be described with reference to FIG.

(1) START
The process is started from the input device 14 or the power distribution system 4 according to the execution instruction for the estimation process.

(2) Start of solar power generation amount estimation process-Sends a start request for the process of estimating the latest power generation amount 30-minute value of each solar power generation facility connected to section 332 to solar power generation amount estimation unit 112.

(3) Activation of consumer load estimation process-When the process of the photovoltaic power generation estimation unit 112 is completed, the consumer load estimation process is activated.
A request for starting a process for estimating the net load value 30 minutes (the power consumption of the load equipment installed in the consumer) of each consumer connected to the section 332 is sent to the consumer load quantity estimation unit 113. send.

(4) Start of section state estimation process-When the process of the consumer load amount estimation unit 113 is completed, the section state estimation process is started.
A request for starting a process for estimating the 30-minute value of the total load amount and the 30-minute value of the total power generation amount in the section 332 is sent to the section state estimation unit 114.

(5) Storage and output of estimation process result-Total load amount 30-minute value and total power generation amount 30-minute value of the estimation process result are stored in the recording device 12, and the output device 15 that is the source of the execution command or the power distribution Output to system 4.

(6) END
Details of processing of the photovoltaic power generation amount estimation unit 112 will be described with reference to FIG.

(1) START
When the activation request from the estimation control unit 111 is received, the following processing is started.

(2) Extraction of monitoring target photovoltaic power generation equipment • From the solar power generation equipment connected to the section 332, the solar power generation equipment for which the power generation amount of 30 minutes is collected through the high-function terminal is extracted from the recording device. And the value of 30 minutes of power generation is taken out from the recording device.
In the example of the section 332, it is assumed that the photovoltaic power generation facility 351 is extracted and G, which is a power generation amount of 30 minutes, is extracted.

(3) Extraction of unsupervised solar power generation facilities • Extract one non-monitoring target solar power generation facility from the recording device that has not been estimated for the 30-minute power generation amount.
In the example of the section 332, there are two solar power generation facilities 341 and 361. First, it is assumed that the solar power generation facility 341 is extracted.

(4) Extraction of power generation correlation model data (2) The power generation correlation model data between the two photovoltaic power generation facilities extracted in (3) is extracted from the recording device.

    In the example, it is assumed that the approximate expression (1) in FIG. 3 is extracted as the power generation amount correlation model data between the solar power generation facilities 351 and 341.

(5) Estimation of power generation amount of unmonitored solar power generation facility ・ Substitute the power generation amount 30-minute value of the monitored solar power generation facility 351 into the approximate expression of the power generation amount correlation model data extracted in (4). Thus, the power generation amount of the unmonitored solar power generation facility 341 is calculated.

    In the example, A × G + B is obtained as a result of the calculation.

(6) Repeat the processes (3) to (5) ・ Repeat the processes (3) to (5) until the estimation of the 30-minute power generation value is completed for all non-monitored photovoltaic power generation facilities.
In the example, next, the processes (3) to (5) are performed on the photovoltaic power generation equipment 361.

(7) Storing the estimation result-Store the power generation amount 30 minutes value of the estimation result in the recording device 12.

(8) END
Notify the estimation control unit 111 of the completion of processing.

  In the above process (4), in addition to the model of FIG. 3 (1) described in the example, when the relational expression between the power generation rates is used as in (2) and (3) of FIG. In (4) and (5), the following processes (4 ′) and (5 ′) are performed.

(4 ′) Extraction of power generation amount correlation model data (2) The power generation amount correlation model data between the two photovoltaic power generation facilities extracted in (3) is extracted from the recording device 12.
For example, assume that the approximate expression (2) in FIG. 3 is extracted as the power generation amount correlation model data between the solar power generation facilities 351 and 341.

(5 ') Estimation of power generation amount of unmonitored solar power generation equipment-Take out the maximum power generation 30-minute value GMAX of unmonitored solar power generation equipment from the recording device.
・ Substitute the power generation rate of the monitored solar power generation equipment 351 for 30 minutes into the approximate expression of the power generation correlation model data extracted in (4 '), and then generate the power generation rate of the unmonitored solar power generation equipment 341. A 30-minute value is calculated, and this is multiplied by the maximum power generation amount 30 minutes value of the photovoltaic power generation facility 341 to calculate a power generation amount 30 minutes value to be obtained.
In the example, as a result of the calculation, A × G + B is obtained as the power generation rate 30 minutes value, and (A × G + B) × GMAX is obtained as the power generation amount 30 minutes value.

  Details of processing of the customer load amount estimation unit 113 will be described with reference to FIG.

(1) START
When the activation request from the estimation control unit 111 is received, the following processing is started.

(2) Extraction of customer data-A customer connected to the designated section 332 is extracted, and the power generation amount 30-minute value and the power amount 30-minute value are also taken out from the recording device.

    In the example of the section 332, customers 340, 350, and 360 are extracted. The extracted 30-minute power generation values are G341, G351, and G361, and the 30-hour power generation values are L341, L351, and L361.

(3) Estimating the load amount of the consumer • For each consumer extracted in (2), subtract the 30-minute power generation value from the extracted 30-minute power amount value, and estimate this as the 30-minute load amount value.

    In the example of the customer 340, L341-G34 is obtained as the load amount 30 minutes value. Similarly, L351-G351 is obtained in the example of the consumer 350, and L361-G361 is obtained in the example of the consumer 360.

(4) Storing the estimation result-Store the 30 minute load amount value of the estimation result in the recording device 12.

(5) END
Notify the estimation control unit 111 of the completion of processing.

  In the section state estimation unit 114, the 30 minute load value of the consumer connected to the specified section, which has already been calculated by the photovoltaic power generation amount estimation unit 112 and the customer load amount estimation unit 113 and stored in the recording device, is obtained. Then, the total load amount 30-minute value in the section is estimated by taking out from the recording device and summing up again. The same applies to the power generation amount of 30 minutes.

  Although the case where the monitoring photovoltaic power generation facility and the non-monitoring target photovoltaic power generation facility are connected to the same section has been described above, they may be connected to different sections. In other words, when estimating the total load or total power generation amount in a certain section, the power generation amount of the non-monitoring target solar power generation equipment connected to the relevant section is obtained, and the information on the monitoring target solar power generation equipment connected to the other section is obtained. It can also be estimated using.

1 is an overall configuration diagram of a power distribution system to which the present invention is applied and a power distribution system state estimation apparatus according to an embodiment of the present invention. It is a figure which shows the example of the calculation formula which calculates | requires electric power generation amount from electric power generation characteristic data and solar radiation intensity. It is explanatory drawing of the electric power generation amount correlation model data which is data for giving the correlation of the electric power generation amount of two photovoltaic power generation facilities. It is explanatory drawing of a process of an estimation control part. It is explanatory drawing of the process of a solar energy generation amount estimation part. It is explanatory drawing of a process of a consumer load amount estimation part.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 Distribution system state estimation apparatus 2 Communication network 4 Distribution system 11 Estimation processing apparatus 12 Recording apparatus 13 Data collection apparatus 14 Input apparatus 15 Output apparatus 111 Estimation control part 112 Photovoltaic power generation amount estimation part 113 Consumer load amount estimation part 114 Section state Estimator 121 Section information data 122 Power generation facility data 123 Power generation amount correlation model data 124, 344, 354, 364 Power amount data 125, 355 Power generation amount data 311 High voltage distribution line 312 Bus 313, 314 Transformer 315 Circuit breaker 316 Low voltage distribution line 321, 322, 323, 324, 325 Switch 331, 332, 333, 334 Section 340, 350, 360 Customer 341, 351, 361 Solar power generation facility 342, 352, 362 WHM
343,363 Terminal station 353 High function terminal station 356 Solar radiation intensity sensor

Claims (9)

In the distribution system state estimation device for estimating the state of the distribution system,
Data collection means for collecting the amount of electricity of the consumer and the amount of power generated by the solar power generation facility;
Using the power generation amount correlation model data that gives the relationship of the power generation amount of the solar power generation facility, and the power generation amount correlation model data and the power generation amount of the solar power generation facility, the power generation amount of other uncollected solar power generation facilities is calculated. A distribution system state estimation device comprising: a photovoltaic power generation amount estimation means for estimation. In claim 1,
It comprises a consumer load amount estimating means for estimating the load amount of the consumer from the power amount of the consumer collected by the data collecting means, using the power generation amount estimated by the solar power generation amount estimating means. Distribution system state estimation device. In claim 2,
A distribution system state estimation device comprising section state estimation means for estimating a total load amount and a total power generation amount in a section using a load amount and a power generation amount of all consumers connected to the section of the distribution system . In claim 1,
The distribution system state estimation device, wherein the power generation amount correlation model data is a correlation obtained by using past performance values of the power generation amounts of the two photovoltaic power generation facilities. In claim 1,
The distribution system state estimation device, wherein the power generation amount correlation model data is a correlation regarding a power generation rate defined by a ratio of the power generation amount to the maximum power generation amount of the photovoltaic power generation facility. In claim 5,
A distribution system state estimation device characterized in that a correlation with respect to a power generation rate is obtained using a past actual value. In claim 5,
A distribution system state estimation device characterized by correlating the same value for two photovoltaic power generation facilities with respect to a correlation regarding a power generation rate.   In Claim 1, the amount of power generation of the solar power generation facility collected by the data collection means is acquired from the solar power generation facility, the power generation amount of the solar power generation facility is measured, or the measured solar radiation A distribution system state estimation device characterized in that it is obtained from the strength and the specification data of the photovoltaic power generation facility.   In claim 1, the estimated load amount, the estimated power generation amount, the collected power amount, and the estimated power generation amount are set to a fixed time unit such as 1 minute, 5 minutes, 30 minutes, 1 hour, or 8:00 A power distribution system state estimation device characterized in that it is a unit of several different time zones such as -13 o'clock, 13 o'clock to 17 o'clock, 17 o'clock to 22 o'clock, 22 o'clock to 8 o'clock.

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