Power estimation device, control method for power estimation device, and program
The power estimation device addresses the challenge of accurately determining power consumption in solar-integrated power distribution systems by using measured values, capacity coefficients, and power factors to calculate active and reactive power, thereby enhancing system state estimation and management.
Patent Information
- Application Number
- JP2021114602
- Authority / Receiving Office
- JP · JP
- Patent Type
- Patents
- Current Assignee / Owner
- Filing Date
- 2021-07-09
- Publication Date
- 2025-06-03
- Estimated Expiration
- 2041-07-09
AI Technical Summary
The integration of numerous solar power generation facilities into power distribution systems has made it challenging to accurately determine the true power consumption by devices such as lighting and motors, as the power covered by solar generation complicates measurements.
A power estimation device that acquires power flow and active power measurements, calculates active and reactive power values using specific equations, and utilizes capacity coefficients and power factors to accurately estimate power consumption by connected devices within a predetermined period.
This solution enables more accurate determination of power consumption by devices in the power distribution system, improving the estimation of system states such as voltage distribution and facilitating better power management, even during system recovery from outages.
Smart Images

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Abstract
Description
Technical Field
[0001] The present invention relates to a power estimation device, a control method for the power estimation device, and a program.
Background Art
[0002] For example, a technique for estimating the state of a power distribution system based on measured system information is known (see, for example, Patent Document 1).
Prior Art Documents
Patent Documents
[0003]
Patent Document 1
Summary of the Invention
Problems to be Solved by the Invention
[0004] However, in recent years, a large number of solar power generation facilities are connected to the power distribution system, and a part of the power consumed by power consumption devices such as lighting and motors used in factories and homes is covered by the power generation amount from these solar power generation facilities. Therefore, it has become difficult to know the true power consumption amount by the power consumption devices.
[0005] Therefore, there is a need for a technique that enables more accurate determination of the power consumption amount by power consumption devices provided in the power distribution system.
[0006] The present invention has been made in view of such problems, and an object thereof is to provide a power estimation device, a control method for the power estimation device, and a program that can more accurately determine the power consumption amount by a power consumption device provided in a power distribution system.
Means for Solving the Problems
[0007] One aspect for solving the above-described problems is a power estimation device that estimates the power consumption within a predetermined period by a power consumption device connected to a power distribution system, the power estimation device including: a measurement value acquisition unit that acquires a power flow measurement value at an end of the predetermined period and active power measurement values at a plurality of nodes set within the predetermined period; a first calculation unit that calculates a first equation using the power flow measurement value and the active power measurement values to calculate an active power calculation value at the plurality of nodes and a reactive power calculation value in the predetermined period; a capacity coefficient acquisition unit that acquires a first capacity coefficient representing a ratio of the capacity of the power consumption device at the plurality of nodes and a second capacity coefficient representing a ratio of the capacity of the solar power generation facility at the plurality of nodes; a power factor acquisition unit that acquires the power factor of the operation of the solar power generation facility within the predetermined period; and a second calculation unit that calculates a second equation using the active power calculation value at the plurality of nodes, the reactive power calculation value in the predetermined period, the first capacity coefficient, the second capacity coefficient, and the power factor to calculate the power consumption by the power consumption device within the predetermined period.
Advantages of the Invention
[0008] According to the present invention, it becomes possible to more accurately obtain the power consumption by the power consumption device provided in the power distribution system.
Brief Description of the Drawings
[0009]
Figure 1
Figure 2
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Figure 7
Embodiments for Carrying Out the Invention
[0010] At least the following matters become clear from the description in this specification and the attached drawings. <<<Configuration of Power Estimation Device 200>>>
[0011] FIG. 1 is a diagram showing the configuration of a power estimation device 200 according to an embodiment of the present invention. The power estimation device 200 is a device that estimates the power consumption of a power consumption device (not shown) provided in the power distribution system 1000 shown in FIGS. 3 to 5 and the like, and is a computer having a CPU (Central Processing Unit) 210, a memory 220, a communication device 230, a storage device 240, an input device 250, an output device 260, and a recording medium reader 270.
[0012] The CPU 210 realizes various functions of the power estimation device 200 by executing a power estimation device control program 700 stored in the memory 220 and the storage device 240.
[0013] The memory 220 is, for example, a RAM (Random-Access Memory) or the like, and is used as a temporary storage area for various programs and data.
[0014] The storage device 240 is a non-temporary (for example, non-volatile) storage device that stores various data executed or processed by the CPU 210.
[0015] FIG. 2 shows a state in which the power estimation device control program 700 and the system information table 600 are stored in the storage device 240.
[0016] By reading various data such as the power estimation device control program 700 and the system information table 600 stored in the storage device 240 into the memory 220 and executing or processing them by the CPU 210, various functions of the power estimation device 200 are realized.
[0017] The power estimation device control program 700 is a general term for programs that implement the functions of the power estimation device 200 according to this embodiment. For example, it includes application programs, the OS (Operating System), various libraries, etc. that operate on the power estimation device 200.
[0018] The system information table 600 is a table that records the configuration of the distribution system 1000 and the electrical characteristics of the devices that make up the distribution system 1000. For example, in the system information table 600, there are data necessary for simulating the distribution system 1000 using equations such as state equations and power flow equations, such as the positions and capacities of solar power generation facilities (not shown) and power consumption devices connected to the distribution system 1000, the positions and specifications of smart meters SM, switchgear SW with sensors, transformers, etc., and the lengths and impedances of the distribution lines 1200.
[0019] Details will be described later. In a state where the power estimation device 200 has acquired the measured value of the power flow obtained from the switchgear SW with sensors and the measured value of the active power obtained from the smart meter SM, the power estimation device 200 uses the system information table 600 to execute the power estimation process described in detail below. In the power estimation process, the power consumption amount actually consumed by the power consumption devices provided in the distribution system 1000 is calculated. The power consumption devices are power facilities owned by power consumers, such as lighting and motors. By calculating this power consumption amount, the power estimation device 200 can more accurately estimate the state of the distribution system 1000.
[0020] Returning to FIG. 1, the input device 250 is a device that accepts input of commands and data by the user, and includes input interfaces such as a keyboard and a touch sensor that detects touch positions on a touch panel display.
[0021] The output device 260 is a device such as a display or a printer.
[0022] The communication device 230 exchanges various programs and data with other computers via the network 500.
[0023] The recording medium reading device 270 reads various data such as the power estimation device control program 700 and the system information table 600 recorded on a recording medium 800 such as an SD card, a DVD, or a CD-ROM, and stores them in the storage device 240. <<<An example of the power distribution system 1000>>> Figs. 3 to 5 are diagrams showing an example of the power distribution system 1000. The power distribution system 1000 is, for example, a 6.6 kV high-voltage system, and includes a power distribution substation 1100, a power distribution line 1200, a switch SW with a sensor, and a smart meter SM. Although not shown, a power consumption device and a solar power generation facility are provided in the power distribution system 1000.
[0024] The switch SW with a sensor is arranged at the end of a section K of the power distribution system 1000. That is, the switch SW with a sensor divides the power distribution system 1000 into a plurality of sections K. The switch SW with a sensor is a measuring instrument capable of measuring the voltage, current, and phase at the measurement point (the end of the section K), or the active power and reactive power. Hereinafter, the voltage, current, and phase measured by the switch SW with a sensor, or the active power and reactive power, are collectively referred to as "power flow measurement values" or "measurements of power flow".
[0025] The smart meter SM is a measuring instrument capable of measuring the active power consumed by a consumer connected to the power distribution system 1000.
[0026] Consumers each become a power load. The consumers may include a power consumption device (for example, a factory) not shown that consumes the power supplied from the power distribution line 1200, and may also include a solar power generation facility (not shown) that supplies power to the power distribution line 1200. For this reason, facilities that consume the power from the power distribution line 1200 and facilities that supply power to the power distribution line 1200 are connected to the power distribution line 1200. Here, regardless of the distinction between consumption and supply, they are collectively referred to as loads.
[0027] In addition, a plurality of nodes N are provided within section K of the power distribution system 1000. The node N represents each range obtained by further subdividing section K, and is specified by a position on the power distribution system 1000 determined as appropriate, such as a transformer installed in section K or a branching point of the power distribution line 1200. In this embodiment, it is assumed that measurement values measured by smart meters SM of one or more consumers are aggregated at each node N within section K.
[0028] Hereinafter, the active power measured by the smart meter SM and aggregated at each node N will be comprehensively referred to as the "active power measurement value".
[0029] The power distribution substation 1100 transforms the voltage supplied from a transmission line (not shown) and outputs a voltage of 6.6 kV to the power distribution line 1200. Electric power is supplied to consumers (not shown) via the node N.
[0030] Note that the power distribution system 1000 also includes various other facilities and sensors, etc. For the sake of convenience, a simplified power distribution system 1000 is illustrated here as an example.
[0031] For example, the power distribution system 1000 will be described with reference to the example of FIG. 4.
[0032] The power distribution line 1200 is radially connected to the power distribution substation 1100 as a starting point (sending node) in the power distribution system 1000. Circuit breakers SW1 to SW5 with sensors are installed on the power distribution line 1200, and the sections divided by these circuit breakers SW1 to SW5 with sensors are defined as sections K1 to K4.
[0033] However, when a circuit breaker SW with a sensor is not installed on the end side of the power distribution system 1000 as in section K4, the section from the circuit breaker SW with a sensor on the sending side to the end node is defined as the section.
[0034] Also, a node N is defined on the distribution line 1200. The node N is an aggregation unit managed in units of pole-mounted transformers or designated customer units. Measurement values from the smart meters SM of a plurality of customers are aggregated for each node N and used in state estimation. It is assumed that load facilities and solar power generation facilities are connected to each node N, and their capacities are defined as equipment data in the system information table 600 for each node N.
[0035] In the switch with sensors (SW1 to SW5), the voltage, current, and phase at the installation point are measured at a fixed period Ts1 (for example, 1 minute). These measurement values are stored in a database (for example, constructed in the storage device 240).
[0036] At this time, it is assumed that the active power flow and reactive power flow can be uniquely converted from the voltage, current, and phase. Hereinafter, the measurement values from the switch with sensors SW are treated as voltage, active power flow, and reactive power flow.
[0037] In the smart meter SM, the power consumption (active power) of the customer is measured at a fixed period Ts2 (for example, 30 minutes) for each node (N1 to N12). These measurement values are stored in a database (for example, constructed in the storage device 240).
[0038] Since the average value of the active energy amount can be calculated by dividing the power consumption per period by the measurement period, the measurement values from the smart meter SM are treated as the average value of the active power. <<<Function blocks of the information processing device>>>
[0039] FIG. 6 is a diagram showing the function blocks of the power estimation device 200. The power estimation device 200 has functions of a measurement value acquisition unit 201, a first calculation unit 202, a capacity factor acquisition unit 203, an operating power factor acquisition unit 204, and a second calculation unit 205.
[0040] Each of these functions is realized by executing the power estimation device control program 700 according to the present embodiment by the hardware of the power estimation device 200.
[0041] The measurement value acquisition unit 201 acquires the power flow measurement values at the ends of a predetermined section K of the power distribution system 1000 and the active power measurement values at a plurality of nodes N within the predetermined section K. As described above, in the present embodiment, the measurement value acquisition unit 201 acquires the power flow measurement values from the switch SW with a sensor every minute and the active power measurement values from the smart meter SM every 30 minutes.
[0042] The first calculation unit 202 calculates a predetermined first equation using the power flow measurement values and the active power measurement values, thereby calculating the active power calculation values at the plurality of nodes N and the reactive power calculation value in the predetermined section K.
[0043] The capacity factor acquisition unit 203 acquires a first capacity factor representing the ratio of the capacities of the power consumption devices at a plurality of nodes N within the predetermined section K and a second capacity factor representing the ratio of the capacities of the solar power generation facilities at the plurality of nodes N. For example, the capacity factor acquisition unit 203 refers to the system information table 600 and calculates the capacity factor of each node N based on the data regarding the capacities of the power consumption devices and the solar power generation facilities at these plurality of nodes N.
[0044] The operating power factor acquisition unit 204 acquires the operating power factor of the solar power generation facilities within the predetermined section K. For example, the operating power factor acquisition unit 204 refers to the system information table 600 and calculates the average operating power factor within the predetermined section K based on the data regarding the operating power factor of the solar power generation facilities installed within the predetermined section K. The operating power factor of the solar power generation facilities is often set to 0.95, for example.
[0045] The second calculation unit 205 calculates a predetermined second equation using the active power calculation values at the plurality of nodes N, the reactive power calculation value in the predetermined section K, the first capacity factor, the second capacity factor, and the operating power factor, thereby calculating the power consumption amount by the power consumption devices within the predetermined section K.
[0046] In such a manner, the power estimation device 200 can more accurately obtain the power consumption of the power consumption devices provided in the power distribution system 1000. As a result, for example, it is also possible to more accurately estimate the state such as the voltage distribution of the power distribution system 1000. Alternatively, for example, when the power distribution system 1000 recovers from an accident such as a power outage, even if the solar power generation facility remains in a disconnected state, it is possible to supply the power required by the power consumption device from the power distribution substation 1100.
[0047] Further, the second calculation unit 205 may further calculate the power consumption of each node N by distributing the power consumption of the power consumption devices within a predetermined interval K to a plurality of nodes N using the first capacity factor.
[0048] In such a manner, since the power consumption can be calculated for each node N, it is possible to calculate in detail the power consumption of the power consumption devices.
[0049] Further, the second calculation unit 205 may calculate not only the power consumption of the power consumption devices within the predetermined interval K but also the power generation amount of the solar power generation facility within the predetermined interval K by calculating the above second equation.
[0050] In such a manner, not only the power consumption of the power consumption devices but also the power generation amount from the solar power generation facility can be calculated, so that it is possible to grasp the state of the power distribution system 1000 in more detail.
[0051] Furthermore, the second calculation unit 205 may calculate the power generation amount of each node N by distributing the power generation amount of the solar power generation facility within the predetermined interval K to a plurality of nodes N using the second capacity factor.
[0052] In such a manner, it is possible to calculate in more detail the power generation amount of the solar power generation facility for each node N.
[0053] Further, the second calculation unit 205 may calculate not only the power consumption of the power consuming devices within the predetermined interval K but also the average load factor of the power consuming devices within the predetermined interval K by calculating the above second equation. The average load factor is the average value of the load factors of the respective power consuming devices within the predetermined interval K.
[0054] If the average load factor within the interval K and the power consumption by the power equipment can be calculated, it becomes possible to easily calculate the reactive power caused by the power consuming devices among the reactive power generated within the predetermined interval K using these.
[0055] As described above, the measurement value acquisition unit 201 acquires the power flow measurement values every minute from the switch SW with a sensor and acquires the active power measurement values every 30 minutes from the smart meter SM. For this reason, the first calculation unit 202 repeatedly calculates the latest active power calculation values at a plurality of nodes and the latest reactive power calculation values in the predetermined interval K by calculating the first equation using the latest power flow measurement values and the latest active power measurement values at predetermined time intervals (for example, every minute). Then, the second calculation unit 205 repeatedly calculates (for example, every minute) the second equation using the active power calculation values at the latest plurality of nodes, the reactive power calculation values in the latest predetermined interval K, the first capacity factor, the second capacity factor, and the operating power factor.
[0056] With such a mode, it is possible to calculate the power consumption of the latest power consuming devices within the predetermined interval K at predetermined time intervals, and it becomes possible to obtain the power consumption by the power consuming devices provided in the distribution system 1000 in more detail.
[0057] A more detailed explanation will be given with reference to FIG. 3.
[0058] FIG. 3 shows a state in which the power estimation device 200 performs each process of pre - processing (actual load estimation 1), main processing (actual load estimation 2), and node expansion processing (actual load estimation 3).
[0059] In the preprocessing, the power estimation device 200 acquires measurement values (power flow measurement values) of voltage, current, and phase at a fixed period (e.g., 1 minute) from the switch SW with a sensor, acquires measurement values (active power measurement values) of power consumption at a fixed period (e.g., 30 minutes) from the smart meter SM, acquires the system information table 600 (system facility data) stored in the database in the storage device 240, and performs power flow calculation using the first equation to calculate the active power value (active power calculated value) per node N defined in advance and the total reactive power value (reactive power calculated value) of the nodes in the section K defined in advance.
[0060] Note that the node N is defined by classifying a predetermined section K of the distribution system 1000 into a plurality of groups along the distribution line 1200. The power consumption devices and solar power generation facilities within the same group are regarded as the power consumption devices and solar power generation facilities at the same node N. Also, the position of each node N is determined based on, for example, the position of a pole-mounted transformer or a customer. The section K is defined by dividing the distribution system 1000 with the switch SW with a sensor.
[0061] Then, the power estimation device 200 calculates the active power value (active power calculated value) of each node N that can be uniquely extracted from the measurement data obtained from the switch SW with a sensor and the smart meter SM, and the total reactive power value (reactive power calculated value) of all nodes N in the section K by performing the preprocessing at a fixed period (e.g., 1 minute cycle).
[0062] Subsequently, in the main process, the power estimation device 200 calculates the actual load active power of section K (the power consumption amount by the power consumption device) by calculating the second equation using the active power value of each node N obtained in the preprocessing, the total reactive power value of the nodes N within each section K, the ratio of the load equipment capacity (the first capacity coefficient) at each node N defined in the system information table 600 (system equipment data), the ratio of the solar power generation equipment capacity (the second capacity coefficient) at each node N, and the average operation efficiency of the solar power generation equipment within section K. In this embodiment, the power estimation device 200 calculates the solar power generation active power of section K (the power generation amount of the solar power generation equipment) and the actual load average efficiency (the average load efficiency of the power consumption device) of section K together with the actual load active power of section K (the power consumption amount by the power consumption device). The power estimation device 200 also performs the main process at a fixed cycle (for example, a 1-minute cycle).
[0063] In the node expansion process, the power estimation device 200 calculates the actual load active power of each node N within section K from the actual load active power of section K obtained in the main process and the ratio of the load equipment capacity (the first capacity coefficient) at each node N defined in the system information table 600 (system equipment data).
[0064] In addition, the power estimation device 200 also calculates the solar power generation active power of each node N within section K from the solar power generation active power of section K obtained in the main process and the ratio of the solar power generation equipment capacity (the second capacity coefficient) at each node N defined in the system information table 600 (system equipment data). The power estimation device 200 also performs the node expansion process at a fixed cycle (for example, a 1-minute cycle). <<<Details of the process>>>
[0065] Subsequently, a first specific example of the power estimation process executed by the power estimation device 200 will be described using the process flow of FIG. 7.
[0066] TIFF0007687097000001.tif20170
[0067] TIFF0007687097000002.tif6170
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[0069] TIFF0007687097000005.tif26170
[0070] However, the measured values from the switch SW with a sensor assume, for example, voltage, current, and phase, and it is possible to convert those values into voltage, active power flow, and reactive power flow. Also, the measured values from the smart meter SM assume the amount of electricity consumed, and it is possible to convert those values into the average value of active power. Further, the measured values from the smart meter SM are aggregated in advance in units of nodes, and the aggregated values are used.
[0071] And the power estimation device 200 performs each process of preprocessing (actual load estimation 1), main processing (actual load estimation 2), and node expansion processing (actual load estimation 3).
[0072] TIFF0007687097000006.tif19170
[0073] TIFF0007687097000007.tif5170
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[0075] TIFF0007687097000009.tif13170
[0076] TIFF0007687097000010.tif19170
[0077] However, when the measurement periods of the switch SW with sensor and the smart meter SM are different, for the measurement values with a long measurement period, it is possible to perform measurement and actual load estimation adjusted to a short period by interpolating the values using the short measurement values.
[0078] Subsequently, the power estimation device 200 performs main processing.
[0079] In the main processing, the power estimation device 200 takes as input the active power of each node obtained in the preprocessing and the total reactive power value of each node in each section, and estimates and outputs the actual load active power (power consumption of the power consumption device), the photovoltaic power generation active power (power generation amount of the photovoltaic power generation facility), and the actual load average power factor (average value of the power factor of the power consumption device) in each section (S1030). The actual load average power factor is the value obtained by averaging the load power factors (power factors of the power consumption devices) of each node.
[0080] At this time, the power estimation device 200 refers to the system information table 600 and sets the capacity of the actual load equipment (power consumption device) of each node, the capacity of the photovoltaic power generation facility of each node, and the operating power factor of the photovoltaic power generation facility. The operating power factor of the photovoltaic power generation facility uses the average value in the specified section.
[0081] TIFF0007687097000011.tif19170
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[0088] TIFF0007687097000021.tif6170
[0089] The actual load equipment capacity can be, for example, the rated power consumption of the power consumption device. Also, the PV equipment capacity can be, for example, the rated output of the solar power generation equipment.
[0090] At this time, in the simultaneous equations (the second equation) of (6), the number of variables is 3, while the number of equations becomes N + 1. Therefore, when the number of nodes N is 2, the number of equations and the number of variables are the same, so the solution can be uniquely calculated. And when the number of nodes N is 3 or more, since the number of equations is more than the number of variables, it is possible to uniquely calculate the solution by performing least squares estimation or the like.
[0091] TIFF0007687097000022.tif27170
[0092] When the number of nodes N is made the same as the number of customers in the interval, for each customer, the actual load (the power consumption of the power consumption device), the active power of PV (the power generation amount of the solar power generation equipment), and the average load power factor can be calculated. However, in this case, the number of equations in the simultaneous equations becomes the number of customers + 1, which becomes huge, so the calculation amount increases.
[0093] On the other hand, if the number of nodes N is reduced to about 2 or 3, the amount of calculation can be reduced. Therefore, the power estimation device 200 can calculate the actual load (power consumption of the power-consuming device), the active power of PV (power generation amount of the solar power generation facility), and the average load power factor in a short time.
[0094] In this way, since the power estimation device 200 can freely set the number of nodes N, it may be set to an appropriate number according to the purpose of performing the power estimation process.
[0095] Next, Equation (6) will be explained in more detail.
[0096] TIFF0007687097000023.tif13170
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[0103] Next, the power estimation device 200 performs node expansion processing.
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[0106] TIFF0007687097000035.tif7170
[0107] In the above manner, the power estimation device 200 can more accurately obtain the power consumption of the power consumption device provided in the power distribution system 1000. As a result, for example, it becomes possible to more accurately estimate the state such as the voltage distribution of the power distribution system 1000. Alternatively, for example, when the power distribution system 1000 recovers from an accident such as a power outage, even if the solar power generation facility remains in a disconnected state, it becomes possible to supply the power required by the power consumption device from the power distribution substation 1100.
[0108] In this embodiment, an example of performing processing within a single section K is shown, but the same applies to the case of performing processing for a plurality of sections K.
[0109] Next, a second specific example of the power estimation processing performed by the power estimation device 200 will be described.
[0110] Also in the second specific example, the power estimation device 200 performs each of the pre-processing (actual load estimation 1), main processing (actual load estimation 2), and node expansion processing (actual load estimation 3).
[0111] Although the power estimation device 200 models and calculates the entire section K of the power distribution system 1000 at once, for simplicity of explanation, the power estimation processing in the section K of the power distribution system 1000 shown in FIG. 5 will be described as the second specific example.
[0112] The power distribution system 1000 shown in FIG. 5 is composed of two switch-disconnectors SW with sensors, three nodes N, and one section K. Each node N and the switch-disconnector SW with sensors are connected by a power distribution line 1200.
[0113] Also, the measured values (active power measurement values) of the smart meters SM for each node N are aggregated, stored in the database of the storage device 240, and used for state estimation.
[0114] The following physical quantities use the normalized pu unit. The time t uses the discretized value.
[0115] TIFF0007687097000036.tif19170
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[0118] At this time, the power estimation device 200 first performs preprocessing.
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[0125] Next, the power estimation device 200 performs the main process.
[0126] TIFF0007687097000046.tif26170
[0127] Note that (19) is the input y t , (20) is the output x t is.
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[0136] Subsequently, the power estimation device 200 performs node expansion processing.
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[0140] Also with the above-described aspects, the power estimation device 200 can more accurately obtain the power consumption amount by the power consumption device provided in the power distribution system 1000. As a result, for example, it is also possible to more accurately estimate the state such as the voltage distribution of the power distribution system 1000. Alternatively, for example, when the power distribution system 1000 recovers from an accident such as a power outage, even if the solar power generation facility remains disconnected, it is possible to supply the power required by the power consumption device from the power distribution substation 1100.
[0141] As described above in detail regarding the power estimation device 200, the control method of the power estimation device 200, and the program 700 according to the present embodiment, according to the present embodiment, it is possible to more accurately obtain the power consumption amount by the power consumption device provided in the power distribution system 1000.
[0142] The above-described embodiments are for facilitating the understanding of the present invention and are not for limiting the interpretation of the present invention. The present invention can be changed and improved without departing from its gist, and equivalents thereof are also included in the present invention.
[0143] For example, the first equation can be applied to the present invention not only in state estimation methods independent at each time section such as the least squares method, the weighted least squares method, and the load correction type state estimation method, but also in state estimation methods that perform sequential processing in a time series such as a Kalman filter.
Explanation of Signs
[0144] 200 Power Estimation Device 201 Measurement Value Acquisition Unit 202 First Calculation Unit 203 Capacity Coefficient Acquisition Unit 204 Operating Power Factor Acquisition Unit 205 Second Calculation Unit 210 CPU 220 Memory 230 Communication Device 240 Storage Device 250 Input Device 260 Output Device 270 Recording Medium Reading Device 500 Network 600 System Information Table 700 Power Estimation Device Control Program 800 Recording Medium 1000 Distribution System 1100 Distribution Substation 1200 Distribution Line Switch with SW Sensor SM Smart Meter N Node K Section
Claims
1. A power estimation device for estimating the power consumption of a power-consuming device connected to a power distribution system within a predetermined period, comprising: a measurement value acquisition unit that acquires a power flow measurement value at an end of the predetermined period and active power measurement values at a plurality of nodes set within the predetermined period; a first calculation unit that calculates a predetermined first equation using the power flow measurement value and the active power measurement values to calculate an active power calculation value at the plurality of nodes and a reactive power calculation value in the predetermined period; a capacity coefficient acquisition unit that acquires a first capacity coefficient representing a ratio of the capacity of the power-consuming device at the plurality of nodes and a second capacity coefficient representing a ratio of the capacity of the solar power generation facility at the plurality of nodes; an operating power factor acquisition unit that acquires the operating power factor of the solar power generation facility within the predetermined period; a second calculation unit that calculates a predetermined second equation using the active power calculation value at the plurality of nodes, the reactive power calculation value in the predetermined period, the first capacity coefficient, the second capacity coefficient, and the operating power factor to calculate the power consumption by the power-consuming device within the predetermined period; A power estimation device comprising the above.
2. The power estimation device according to claim 1, wherein the second calculation unit further calculates the power consumption by the power-consuming device within the predetermined period by distributing it to the plurality of nodes using the first capacity coefficient, thereby calculating the power consumption at each node.
3. The power estimation device according to claim 1 or 2, wherein the second calculation unit calculates the power generation amount of the solar power generation facility within the predetermined period together with the power consumption by the power-consuming device within the predetermined period by calculating the second equation.
4. The power estimation device according to claim 3, wherein the second calculation unit further calculates the power generation amount at each node by distributing the power generation amount of the solar power generation facility within the predetermined period to the plurality of nodes using the second capacity coefficient.
5. The power estimation device according to any one of claims 1 to 4, wherein the second calculation unit calculates the average load power factor of the power-consuming device within the predetermined period together with the power consumption by the power-consuming device within the predetermined period by calculating the second equation.
6. The power estimation device according to any one of claims 1 to 5, wherein the first calculation unit By calculating the first equation at each predetermined time using the latest measured value of the power flow and the latest measured value of the active power, the calculated value of the active power at the plurality of nodes and the calculated value of the reactive power in the predetermined section are repeatedly calculated. The second calculation unit A power estimation device that repeatedly calculates the second equation using the latest calculated value of the active power at the plurality of nodes, the latest calculated value of the reactive power in the predetermined section, the first capacity factor, the second capacity factor, and the operating power factor.
7. A control method for a power estimation device that estimates the power consumption within a predetermined section by a power consumption device connected to a distribution system, wherein the power estimation device acquires the measured value of the power flow at the end of the predetermined section and the measured value of the active power at a plurality of nodes set within the predetermined section, by calculating a predetermined first equation using the measured value of the power flow and the measured value of the active power, calculates the calculated value of the active power at the plurality of nodes and the calculated value of the reactive power in the predetermined section, acquires a first capacity factor representing the ratio of the capacities of the power consumption devices at the plurality of nodes and a second capacity factor representing the ratio of the capacities of the solar power generation facilities at the plurality of nodes, acquires the operating power factor of the solar power generation facilities within the predetermined section, by calculating a predetermined second equation using the calculated value of the active power at the plurality of nodes, the calculated value of the reactive power in the predetermined section, the first capacity factor, the second capacity factor, and the operating power factor, calculates the power consumption by the power consumption device within the predetermined section. A control method for a power estimation device.
8. In a computer that estimates the power consumption within a predetermined section by a power consumption device connected to a distribution system, a procedure for acquiring the measured value of the power flow at the end of the predetermined section and the measured value of the active power at a plurality of nodes set within the predetermined section, a procedure for calculating the calculated value of the active power at the plurality of nodes and the calculated value of the reactive power in the predetermined section by calculating a predetermined first equation using the measured value of the power flow and the measured value of the active power, a procedure for acquiring a first capacity factor representing the ratio of the capacities of the power consumption devices at the plurality of nodes and a second capacity factor representing the ratio of the capacities of the solar power generation facilities at the plurality of nodes, a procedure for acquiring the operating power factor of the solar power generation facilities within the predetermined section, A procedure for calculating the power consumption by the power consumption device within the predetermined interval by calculating a predetermined second equation using the calculated active power values at the plurality of nodes, the calculated reactive power values in the predetermined interval, the first capacitance coefficient, the second capacitance coefficient, and the operating power factor; A program for causing the execution.
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