Information processing device, information processing method and information processing program

Abstract

To improve the accuracy of state estimation in a power system.SOLUTION: An information processing device for estimating a state value of a prescribed section of a power system 1 including a plurality of users L1 to L3, H1 to H3 having at least one of a load and a photovoltaic power generation facility and provided with a watthour meter that can acquire a first measurement value of effective power, and a sensor that can measure voltage, effective power flow and reactive power flow by using first measurement values from respective watthour meters of the plurality of users and a second measurement value from the sensor includes a first estimation part for estimating a first total value of effective power of outputs of a plurality of photovoltaic power generation facilities included in the prescribed section, a second estimation part for estimating a second total value of effective power of a plurality of loads included in the prescribed section, and a third estimation part for estimating a state value on the basis of the first measurement value, the second measurement value, the first total value, the second total value, components of the power system in the prescribed section, system information representing electric characteristics of the components and facility information about each of the plurality of loads and the plurality of photovoltaic power generation facilities.SELECTED DRAWING: Figure 1

Description

[Technical field]

[0001] The present invention relates to an information processing device, an information processing method, and an information processing program. [Background technology]

[0002] 2. Description of the Related Art Techniques for performing state estimation in a power system including consumers having photovoltaic power generation facilities are known.

[0003] For example, Patent Document 1 discloses a method for estimating voltage distribution in a power distribution line based on measurement values ​​from multiple sensor-equipped switches installed on the power distribution line and the amount of electricity from each of multiple consumers' smart meters. [Prior art documents] [Patent documents]

[0004] [Patent Document 1] Patent No. 6132994 Summary of the Invention [Problem to be solved by the invention]

[0005] In the invention described in Patent Document 1, the reactive power of each consumer is calculated by allocating the reactive power estimated in the target section according to a predetermined coefficient. However, this method does not estimate the state taking into account the power factors of the consumer's load and the output of the photovoltaic power generation facility, so there is a risk of the accuracy of the state estimation decreasing.

[0006] The present invention has been made in consideration of the above problems, and has an object to provide an information processing device capable of improving the accuracy of state estimation in a power system. [Means for solving the problem]

[0007] One invention for achieving the above object is an information processing device that estimates a state value of a predetermined section of a power system including a plurality of consumers, each of which has at least one of a load or a photovoltaic power generation facility and is provided with a watt-hour meter capable of acquiring a first measurement value of active power, and a sensor capable of measuring voltage, active power flow, and reactive power flow, using the first measurement value from the watt-hour meter of each of the plurality of consumers and a second measurement value from the sensor, the information processing device including a first estimation unit that estimates a first total value of active power of the output of a plurality of photovoltaic power generation facilities included in the predetermined section, and a third estimation unit that estimates the state value based on the first measurement value, the second measurement value, the first sum value, the second sum value, system information representing components of the power system in the specified section and electrical characteristics of the components, and equipment information relating to each of the multiple loads and the multiple photovoltaic power generation facilities, wherein the state values ​​include the active power and reactive power of each of the multiple loads, and the active power and reactive power of the output of each of the multiple photovoltaic power generation facilities.

[0008] Further, there is provided an information processing method for estimating a state value of a predetermined section of a power system including a plurality of consumers, each of which has at least one of a load or a solar power generation facility, and each of which is provided with a power meter capable of acquiring a first measurement value of active power, and a sensor capable of measuring voltage, active power flow, and reactive power flow, using the first measurement value from the power meter of each of the plurality of consumers and a second measurement value from the sensor, the information processing method including the steps of: estimating a first total value of the active power of the output of a plurality of solar power generation facilities included in the predetermined section; estimating a second total value of the active power of a plurality of loads included in the predetermined section; and estimating the state value based on the first measurement value, the second measurement value, the first total value, the second total value, system information representing components of the power system in the predetermined section and electrical characteristics of the components, and equipment information relating to each of the plurality of loads and the plurality of solar power generation facilities, wherein the state value includes the active power and reactive power of each of the plurality of loads, and the active power and reactive power of the output of each of the plurality of solar power generation facilities.

[0009] Also, an information processing program for estimating a state value of a predetermined section of a power system including a plurality of consumers, each of which has at least one of a load or a photovoltaic power generation facility and is provided with a watt-hour meter capable of acquiring a first measurement value of active power, and a sensor capable of measuring voltage, active power flow, and reactive power flow, using the first measurement value from the watt-hour meter of each of the plurality of consumers and a second measurement value from the sensor, the information processing program including a computer that estimates a first total value of active power of the output of a plurality of photovoltaic power generation facilities included in the predetermined section, and a third estimation unit that estimates the state value based on the first measurement value, the second measurement value, the first sum, the second sum, system information representing components of the power system in the predetermined section and electrical characteristics of the components, and facility information relating to each of the loads and the photovoltaic power generation facilities, wherein the state values ​​include active power and reactive power of each of the loads and active power and reactive power of output of each of the photovoltaic power generation facilities. Other features of the present invention will become apparent from the description of this specification. Effect of the Invention

[0010] According to the present invention, it is possible to provide an information processing device capable of improving the accuracy of state estimation in a power system. [Brief description of the drawings]

[0011] [Figure 1] 1 is a diagram showing an example of a power system 1 in which an information processing device 2 estimates a state value. [Diagram 2] 1 is a diagram showing an example of facilities owned by low-voltage customers L1 to L3 included in a power system 1. FIG. [Diagram 3] FIG. 1 is a diagram showing an example of facilities owned by high-voltage consumers H1 to H3 included in a power system 1. [Figure 4] 2 is a diagram illustrating a hardware configuration of an information processing device 2. FIG. [Diagram 5]FIG. 2 is a diagram showing functional blocks of an information processing device 2. [Figure 6] 11 is a flowchart illustrating a process performed by the information processing device 2 until it outputs a state value. [Figure 7] 11 is a flowchart illustrating a method for determining a weighting matrix W. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0012] == Implementation form == <<Power system 1>> 1 is a diagram showing an example of a power system 1 in which a state value is estimated by an information processing device 2 described later. The power system 1 includes a distribution substation 10, a distribution line 11, and a plurality of nodes N installed at predetermined positions on the distribution line 11. i (i is an integer) and sensor-equipped switches SW1 and SW2 installed at predetermined positions of the distribution line 11.

[0013] [Distribution Substation 10] The distribution substation 10 transforms the voltage supplied from a transmission line (not shown) and outputs a voltage of 6.6 kV to the distribution line 11.

[0014] [Power distribution line 11] A plurality of distribution lines 11 are radially connected to the distribution substation 10, with the distribution substation 10 serving as the origin (sending node). Only one distribution line 11 is shown in Fig. 1. The distribution line 11 is a three-phase AC distribution line.

[0015] [node] The nodes are provided on the power distribution line 11. In this embodiment, the nodes are aggregation units managed on a high-voltage receiving point basis including a pole transformer (not shown). Power output from the power distribution substation 10 to the power distribution line 11 is supplied to consumers via the nodes. Note that FIG. 1 shows an aspect in which six nodes N1 to N6 are provided. Note that the number of nodes is not limited to six.

[0016] [Switches with sensors SW1, SW2] Each of the sensor-equipped switch SW1 and the sensor-equipped switch SW2 is a switch having a sensor that can measure at least measurement values ​​(corresponding to "second measurement values") such as voltage, active power flow, and reactive power flow at the installation point at a regular interval.

[0017] Since the sensor-equipped switch SW1 and the sensor-equipped switch SW2 are similar, the sensor-equipped switch SW1 will be described below. In this embodiment, the sensor-equipped switch SW1 measures measured values ​​at a measurement period of one minute from 0:00 to 23:59 on one calendar day.

[0018] The measurement period of the sensor-equipped switch SW1 does not necessarily have to be one minute, and the measurement periods of all the sensor-equipped switches SW do not necessarily have to be the same.

[0019] [Customer classification] Depending on the contents of their contracts with the electric power company, the consumers are classified into low-voltage consumers L1 to L3 whose facilities are connected to the distribution line 11 at low voltage, and high-voltage consumers H1 to H3 whose facilities are connected to the distribution line 11 at high voltage.

[0020] The low voltage consumers L1 to L3 have a contracted capacity for power less than a reference value (for example, 50 kW), and the high voltage consumers H1 to H3 have a contracted capacity for power equal to or greater than a predetermined reference value.

[0021] The loads of the low voltage consumers L1 and L2 are mainly small-scale loads such as residential loads, while the loads of the high voltage consumers H1 and H2 are mainly business loads and industrial loads.

[0022] Each of the multiple consumers has at least one of a load or a photovoltaic power generation facility. The multiple consumers are classified into three categories according to the purchase method of electricity generated by photovoltaic power generation facilities (PV (PhotoVoltaic)), depending on whether or not they have a power purchase contract with the power company and the contents of the contract.

[0023] Specifically, consumers L1 and H1 are consumers without PV grid connection who have not concluded an electricity purchase contract with the electric power company. Consumers L2 and H2 are consumers who have concluded a so-called surplus purchase contract with the electric power company and purchase PV surplus. Consumers L3 and H3 are consumers who have concluded a so-called full-volume purchase contract with the electric power company and purchase all PV.

[0024] FIG. 1 shows an example in which a low-voltage consumer L1 is located at node N1, a low-voltage consumer L2 at node N2, a low-voltage consumer L3 at node N3, a high-voltage consumer H1 at node N4, a high-voltage consumer H2 at node N5, and a high-voltage consumer H3 at node N6.

[0025] In the following description, the "low voltage consumers L1 to L3" may be simply referred to as "consumers L1 to L3", respectively. Also, the "high voltage consumers H1 to H3" may be simply referred to as "consumers H1 to H3", respectively.

[0026] Additionally, low voltage consumer L1 corresponds to the "first consumer." Low voltage consumer L2 corresponds to the "second consumer." Low voltage consumer L3 corresponds to the "third consumer." High voltage consumer H1 corresponds to the "fourth consumer." High voltage consumer H2 corresponds to the "fifth consumer." High voltage consumer H3 corresponds to the "sixth consumer."

[0027] In this embodiment, the electricity to be purchased is electricity generated by photovoltaic power generation. Hereinafter, in this embodiment, the purchasing method for electricity generated by photovoltaic power generation equipment is referred to as the "PV purchasing method."

[0028] The consumers without PV grid connection (consumers L1, H1) have a load that consumes power, but do not have a power generation facility that is the subject of a power purchase contract. The load consumes power supplied from the power distribution line 11. In other words, the consumers without PV grid connection purchase power supplied from the power distribution line 11.

[0029] For example, an apartment building is connected to node N1 in Fig. 1 as a low-voltage consumer L1 facility without a PV grid that has a load that consumes power. The power output from distribution substation 10 to distribution line 11 is supplied to the apartment building via node N1.

[0030] A PV surplus purchase customer (customer L2, H2) has a load that consumes power and a photovoltaic power generation facility that is the subject of a surplus purchase contract. The load consumes power supplied from the power distribution line 11 and at least a portion of the power generated by its own photovoltaic power generation facility.

[0031] That is, the PV surplus buy-back customer purchases the power supplied from the power distribution line 11 and consumes at least a part of the power generated by the power generation facility. Furthermore, the PV surplus buy-back customer sells the power (surplus power) generated by the power generation facility excluding the consumed power.

[0032] For example, a typical home with a photovoltaic power generation facility is connected to node N2 in FIG. 1 as a low-voltage consumer L2 facility for PV surplus purchase, the consumer having a load that consumes power and a power generation facility.

[0033] The power output from the distribution substation 10 to the power distribution line 11 is supplied to a load in a general residential house via the node N2. Furthermore, at least a portion of the power generated by the photovoltaic power generation facility is supplied to the load in the general residential house.

[0034] The PV full-amount purchase consumers (consumers L3 and H3) are consumers who do not have a load that consumes electricity and have photovoltaic power generation facilities that are subject to a full-amount purchase contract. The PV full-amount purchase consumers sell all of the electricity generated by their own power generation facilities.

[0035] For example, a solar power generation facility installed in a factory is connected to node N6 in Fig. 1 as a facility of a high-voltage consumer H3 that has a power generation facility and buys all of its PV power. This consumer sells all of the electricity generated by the solar power generation facility installed in the factory.

[0036] 2 is a diagram showing an example of facilities of low-voltage consumers included in the power system 1. Each facility of the low-voltage consumers L1 to L3 is connected to a power distribution line 11 via a pole transformer TR.

[0037] Each facility of the low-voltage consumers L1 to L3 is connected to the pole transformer TR via a service line 13 and a wiring W2. A watt-hour meter SM1 (details of which will be described later) is installed in each of the low-voltage consumers L1 to L3 included in the power system 1.

[0038] In a low-voltage consumer L1 without PV grid connection, a load R1 with a contract capacity less than a reference value is connected to a distribution line 11 via a pole transformer TR. The low-voltage consumer L1 without PV grid connection does not have a photovoltaic power generation facility.

[0039] At a low-voltage consumer L2 that purchases surplus PV power, a load R1 with a contract capacity less than a reference value and a photovoltaic power generation facility PV1 are connected to a distribution line 11 via a pole transformer TR.

[0040] The photovoltaic power generation facility PV1 of the low-voltage consumer L2 includes a photovoltaic panel PVP1 and a power conditioner PCS. The photovoltaic panel PVP1 is connected to a pole transformer TR via the power conditioner PCS.

[0041] At a low-voltage consumer L3 that purchases all PV power, a photovoltaic power generation facility PV2 including a solar panel PVP2 and a power conditioner PCS is connected to a distribution line 11 via a pole transformer TR.

[0042] 3 is a diagram showing an example of facilities of high-voltage consumers H1 to H3 included in the power system 1. Each facility of the high-voltage consumers H1 to H3 is connected to a power distribution line 11 via a high-voltage power receiving facility 12.

[0043] Each facility of the high voltage consumers H1 to H3 is connected via on-site wiring W1 to the high voltage power receiving facility 12. Also, a watt-hour meter SM2 (details will be described later) is installed in each of the high voltage consumers H1 to H3 included in the power system 1.

[0044] In a high-voltage consumer H1 without PV grid connection, a load R2 with a contract capacity equal to or greater than a reference value is connected to a power distribution line 11 via a high-voltage power receiving facility 12. The high-voltage consumer H1 without PV grid connection does not have a photovoltaic power generation facility.

[0045] At a high-voltage consumer H2 that purchases surplus PV, a load R2 with a contract capacity equal to or greater than a reference value and a photovoltaic power generation facility PV3 are connected to a power distribution line 11 via a high-voltage power receiving facility 12. The photovoltaic power generation facility PV2 owned by the high-voltage consumer H2 is connected to the power grid at high voltage or low voltage.

[0046] That is, the photovoltaic power generation facility PV2 owned by the high voltage consumer H2 is connected to a consumer that receives electricity at a higher voltage than the power generation facility owned by the low voltage consumer L2.

[0047] The photovoltaic power generation facility PV3 of the high voltage consumer H2 includes a solar panel PVP3 and a power conditioner PCS that converts DC power generated by the solar panel PVP3 into AC power. The solar panel PVP3 is connected to the high voltage power receiving facility 12 via the power conditioner PCS.

[0048] In the illustrated example, a power conditioner PCS is assumed to be connected to the power grid 1 at high voltage, but even if the power conditioner PCS is connected at low voltage within the premises, this embodiment will treat it in the same way as if it were connected at high voltage.

[0049] At a high-voltage consumer H3 that buys all PV power, a photovoltaic power generation facility PV4 including a solar panel PVP4 and a power conditioner PCS is connected to a distribution line 11 via a high-voltage power receiving facility 12.

[0050] [Power meter SM1, SM2] The watt-hour meter is installed in each of the consumers included in the power system 1. As the watt-hour meter, a so-called smart meter can be used. In this embodiment, two types of watt-hour meters SM1 and SM2 are used as the watt-hour meters.

[0051] The watt-hour meter SM1 is a watt-hour meter that can measure the integrated value of the consumer's active power at a fixed interval. The value measured by the watt-hour meter SM1 divided by the measurement interval is the average value of the active power during the measurement interval.

[0052] In this embodiment, the active power at each time in one measurement period is the average value of the active power in that measurement period. That is, the watthour meter SM1 is a watthour meter capable of measuring active power.

[0053] The watt-hour meter SM2 is a watt-hour meter that can measure the integrated values ​​of the active power and reactive power of the consumer at regular intervals. The amount obtained by dividing the measured value by the watt-hour meter SM2 by the measurement interval is the average value of the active power and reactive power during the measurement interval.

[0054] In this embodiment, the active power and the reactive power at each time in one measurement period are respectively the average values ​​of the active power and the reactive power in the measurement period. In other words, the watthour meter SM2 is a watthour meter capable of measuring the active power and the reactive power.

[0055] In this embodiment, the measurement period of all the watt-hour meters SM1 and SM2 is 30 minutes. The watt-hour meters SM1 and SM2 measure measurement values ​​at 30-minute measurement periods from 0:00 to 23:30 on one calendar day.

[0056] It should be noted that the measurement period of the watthour meters SM1 and SM2 does not necessarily have to be 30 minutes, and the measurement periods of all the watthour meters SM1 and SM2 do not necessarily have to be the same.

[0057] As shown in Figures 1 and 2, low voltage consumers L1 to L3 are provided with a watt-hour meter SM1 capable of measuring active power, and as shown in Figures 1 and 3, high voltage consumers H1 to H3 are provided with a watt-hour meter SM2 capable of measuring active power and reactive power.

[0058] For the consumers L1 and H1 without PV grid connection, one watt-hour meter SM1 and SM2 are installed for the load that consumes electricity. The watt-hour meter SM1 and SM2 installed in the consumers without PV grid connection measure the amount of electricity used by the load at regular intervals.

[0059] Therefore, the measured value measured by the watt-hour meter SM1 installed in the low-voltage consumer L1 without PV grid connection indicates only the active power of the load, and the measured value measured by the watt-hour meter SM2 installed in the high-voltage consumer H1 without PV grid connection indicates only the active power and reactive power of the load.

[0060] In addition, for the PV surplus purchase consumers L2 and H2, one watt-hour meter SM1 and SM2 are installed for the load that consumes electricity and the power generation equipment, respectively. The watt-hour meter SM1 and SM2 installed at the PV surplus purchase consumers periodically measures the amount of electricity, which is the sum of the amount of electricity used by the load and the amount of electricity generated by their own power generation equipment.

[0061] In other words, the measurement value of the watt-hour meter SM1 installed at the low-voltage consumer L2 that buys surplus PV is a mixture of the active power of the load and the active power generated by its own photovoltaic power generation facility PV1. Also, the measurement value of the watt-hour meter SM2 installed at the high-voltage consumer H2 that buys surplus PV is a mixture of the reactive power of the load and the reactive power output by its own photovoltaic power generation facility PV3.

[0062] Furthermore, for consumers L3 and H3 who purchase all PV power, one watt-hour meter SM1 and SM2 are installed for each of their photovoltaic power generation facilities PV2 and PV4. The watt-hour meter SM1 and SM2 installed for consumers L3 and H3 who purchase all PV power measure the amount of power generated by their own photovoltaic power generation facilities PV2 and PV4 at regular intervals.

[0063] Therefore, the measurement value of the watt-hour meter SM1 installed at low-voltage consumer L3 who purchases all PV power only indicates the active power output of its own photovoltaic power generation facility PV2. Also, the measurement value of the watt-hour meter SM2 installed at high-voltage consumer H3 who purchases all PV power only indicates the reactive power output of its own photovoltaic power generation facility PV4.

[0064] <<Information processing device 2>> The information processing device 2 is a device that estimates the state values ​​of a target section (corresponding to a "predetermined section") of the power system 1 using measurement values ​​from an electricity meter SM1 of each of the low-voltage consumers L1 to L3, measurement values ​​from an electricity meter SM2 of each of the high-voltage consumers H1 to H3, and measurement values ​​from the sensor-equipped switches SW1 and SW2.

[0065] In this embodiment, the target section will be described as a section between the sensor-equipped switch SW1 and the sensor-equipped switch SW2 of the power system 1 shown in Fig. 1. The information processing device 2 is communicatively connected via a communication network 4 to each of the watt-hour meters SM1, M2 included in the power system 1 and the sensor-equipped switches SW1, SW2.

[0066] The hardware configuration of the information processing device 2, various databases, and functional blocks of the information processing device 2 will be described below in that order.

[0067] <Hardware configuration of information processing device 2> 4 is a diagram illustrating a hardware configuration of the information processing device 2 of this embodiment. The information processing device 2 is a computer having a CPU (Central Processing Unit) 200, a memory 201, a communication device 202, a storage device 203, an input device 204, an output device 205, and a recording medium reading device 206.

[0068] [CPU200] The CPU 200 executes information processing programs stored in the memory 201 or the storage device 203 to realize various functions of the information processing device 2.

[0069] [Memory 201] The memory 201 is, for example, a RAM (Random-Access Memory) and is used as a temporary storage area for various programs, data, and the like.

[0070] [Communication device 202] The communication device 202 exchanges various programs and data with other computers via the communication network 4 .

[0071] [Storage device 203] The storage device 203 is a non-transitory (eg, non-volatile) storage device that stores various data to be executed or processed by the CPU 200.

[0072] The storage device 203 stores various databases such as a system information DB 220, a facility information DB 221, a set value DB 222, a measured value DB 223, and an estimated value DB 224. These will be described in detail later.

[0073] [Input device 204] The input device 204 is a device that accepts commands and data input by a user, and includes an input interface such as a keyboard and a touch sensor that detects a touch position on a touch panel display.

[0074] [Output Device 205] The output device 205 is, for example, a display or a printer.

[0075] [Recording medium reader 206] The recording medium reader 206 reads various data such as an information processing program recorded on a recording medium 3 such as a memory card, an optical disk, or a compact disk, and stores the data in the storage device 203 .

[0076] <Various databases> As described above, various databases are stored in the storage device 203, such as the system information DB 220, the facility information DB 221, the set value DB 222, the measured value DB 223, and the estimated value DB 224. Each of these will be described below.

[0077] [Strain information DB220] The system information DB 220 is a database related to system information of the power system 1. The system information is information representing the components of the power system 1 in the target section and the electrical characteristics of the components. The components of the power system 1 include, for example, identifiers of each of the multiple nodes in the target section, and identifiers of nodes to which each of the multiple nodes is connected. The electrical characteristics of the components include the impedance of the distribution line 11 between adjacent nodes, etc.

[0078] [Equipment information DB221] The facility information DB221 is a database relating to facility information of each of the multiple consumers included in the power system 1. The facility information includes information relating to the classification type of each of the multiple consumers, a plurality of loads in the target section, and each of the multiple photovoltaic power generation facilities PV1 to PV4.

[0079] The classification type is a classification of the six types of consumers (consumers L1 to L3, H1 to H3) described above. The information on each of the multiple photovoltaic power generation facilities PV1 to PV4 includes the capacity of each of the multiple photovoltaic power generation facilities PV1 to PV4 and the power factor set for each of the multiple photovoltaic power generation facilities PV1 to PV4.

[0080] [Setting value DB222] The setting value DB 222 is a database related to setting values ​​required in the processing of the first estimating unit 213, the second estimating unit 214, and the third estimating unit 215, which will be described later. The setting values ​​include, for example, a weighting matrix W, which will be described later.

[0081] [Measurement value DB223] The measurement value DB223 is a database that accumulates measurement values ​​at a predetermined period measured by the electricity meters SM1, SM2 owned by each of the consumers included in the power system 1, and measurement values ​​at a predetermined period measured by the sensor-equipped switches SW1, SW2.

[0082] The data stored in the measurement value DB223 may be pre-stored in the memory device 203, or may be updated at any time by the CPU200 acquiring measurement values ​​from the power meters SM1, SM2 and the sensor-equipped switches SW1, SW2 via the communication device 202 and writing the acquired measurement values ​​to the measurement value DB223.

[0083] [Estimated value DB224] The estimated value DB 224 stores the total value P PV Total , the total value P estimated by the second estimation unit 214 LD Total , the state value x(x) estimated by the third estimation unit 215, the voltage distribution estimated by the fourth estimation unit 216, and the like are recorded in the database.

[0084] <Function blocks of information processing device 2> 5 is a diagram showing functional blocks of the information processing device 2. The information processing device 2 includes a first acquisition unit 210, a second acquisition unit 211, a third acquisition unit 212, a first estimation unit 213, a second estimation unit 214, a third estimation unit 215, a fourth estimation unit 216, an output unit 217, and a calculation unit 218. Each of these will be described below.

[0085] [First acquisition part 210] The first acquisition unit 210 refers to a system information DB 220, an equipment information DB 221, and a setting value DB 222 (Figure 4), and acquires information necessary for the calculations of the first estimation unit 213, the second estimation unit 214, the third estimation unit 215, and the fourth estimation unit 216 described below.

[0086] Specifically, the first acquisition unit 210 acquires system information from the system information DB 220, acquires facility information from the facility information DB 221, and acquires a weighting matrix W (Equations 29 to 32, described later) from the setting value DB 222.

[0087] [Second acquisition part 211] The second acquisition unit 211 acquires the measured value y at time t from the sensor-equipped switches SW1 and SW2 via the communication network 4. SW Get (t).

[0088] Measurement value y SW (t) has six components as shown in the following equation.

[0089]

number

[0090] Here, v1(t) and v2(t) are the voltage measurements by the sensor-equipped switches SW1 and SW2, respectively. Additionally, p1(t) and p2(t) are the active power flow measurements by the sensor-equipped switches SW1 and SW2, respectively. Additionally, q1(t) and q2(t) are the reactive power flow measurements by the sensor-equipped switches SW1 and SW2, respectively.

[0091] In addition, the sensor-equipped switches SW1 and SW2 SW (t) corresponds to the “second measurement value.”

[0092] [Second acquisition part 211] The second acquisition unit 211 acquires the measured value y at time t from the power meters SM1 and SM2 via the communication network. SM_P (t) and the measured value y SM_Q Get (t).

[0093] Measurement value y SM_P (t) is the measurement value of the active power by the watt-hour meters SM1 and SM2, and has six components as shown in the following equation.

[0094]

number

[0095] Here, P1 on the right side L_SM ,P2 L_SM ,P3 L_SM are the measured values ​​of active power from the watt-hour meter SM1 of low-voltage consumers L1, L2, and L3, respectively. Also, P1 H_SM ,P2 H_SM ,P3 H_SMare the measured values ​​of active power from the watt-hour meter SM2 of the high-voltage consumers H1, H2, and H3, respectively.

[0096] Measurement value y SM_P (t) is the measurement value of the active power by the watt-hour meter SM2, and has three components as shown in the following equation.

[0097]

number

[0098] Here, Q1 on the right hand side H_SM ,Q2 H_SM ,Q3 H_SM are the measured values ​​of reactive power from the watt-hour meter SM2 of the high-voltage consumers H1, H2, and H3, respectively.

[0099] In addition, the measured value P1 of the active power from the watt-hour meter SM1 of the low-voltage consumers L1, L2, and L3 L_SM ,P2 L_SM ,P3 L_SM and the measured value P1 of the active power from the watt-hour meter SM2 of the high-voltage consumers H1, H2, and H3. H_SM ,P2 H_SM ,P3 H_SM corresponds to the "first measured value." Also, the measured reactive power value Q1 from the watt-hour meter SM2 of the high-voltage consumers H1, H2, and H3 H_SM ,Q2 H_SM ,Q3 H_SM corresponds to the "third measurement value."

[0100] [First estimation section 213] The first estimation unit 213 estimates the total active power P of the outputs of the multiple photovoltaic power generation facilities PV1 to PV4 included in the target section. PV Total The total value P PV Total corresponds to the "first total value."

[0101] In this embodiment, the first estimation unit 213 estimates the total capacity C of the photovoltaic power generation facilities PV1 to PV4 owned by the consumers L3 and H3 who purchase all PV power. PV_Onlyand the total capacity of the multiple solar power generation facilities PV1 to PV4 in the target section C PV_Total and the measured value P3 of the active power from the power meters SM1 and SM2 of the consumers L3 and H3. L_SM and P3 H_SM Based on (Equation 2), the total value P PV Total Estimate.

[0102] Specifically, the first estimation unit 213 first calculates the total value C PV_Total And the total value C PV_Only Calculate the ratio a to

[0103]

number

[0104] The capacity of each of the multiple photovoltaic power generation facilities PV1 to PV4 in the target section is stored in the facility information DB 221 and acquired by the first acquisition unit 210 as described above.

[0105] Next, the first estimation unit 213 calculates the measurement value P3 as shown in the following equation. L_SM and P3 H_SM By multiplying the sum of (Equation 2) by the ratio a, the total value P PV Total Estimate.

[0106]

number

[0107] In addition, the measured value of effective power by the watt-hour meter of PV surplus purchase consumers L2 and H2 (P2 in Equation 2) L_SM ,P2 H_SM ) is a mixed value of the active power of the load and the active power of the output of the photovoltaic power generation facilities PV1 and PV3.

[0108] Therefore, the total value P is calculated by using the measured values ​​of the active power by the watt-hour meters SM1 and SM2 of the consumers L2 and H2. PV TotalWhen calculating, the calculation becomes complicated.

[0109] According to this embodiment, it is not necessary to use the measured values ​​of the active power by the watt-hour meters SM1 and SM2 of the consumers L2 and H2. Therefore, the total value P PV Total can be easily estimated.

[0110] In addition, the total value P PV Total The method of estimating is merely an example and is not limited to this.

[0111] Total value P PV Total As another example of estimating the total capacity C of the photovoltaic power generation facilities PV2 and PV4 owned by the consumers L3 and H3, PV_Only and the total capacity of multiple solar power generation facilities PV1 to PV4, C PV_Total Based on the information on the solar radiation in a predetermined section (for example, weather information including the amount of solar radiation), the total value P PV Total may be estimated.

[0112] In this case, the measured value P3 of the active power from the power meters SM1 and SM2 of the consumers L3 and H3 L_SM and P3 H_SM By recording the relationship between the total value (in parentheses of Equation 5) and the amount of solar radiation, the measured value P3 can be calculated from the amount of solar radiation. L_SM and P3 H_SM Then, by using the formula 5, the sum value P PV Total can be estimated.

[0113] [Second estimation section 214] The second estimation unit 214 estimates the total value P of the active power of the multiple loads included in the predetermined section. LD Total The total value P LD Total corresponds to the "second total value."

[0114] In this embodiment, the second estimation unit 214 estimates the total value P PV Total Based on the total value P LD Total Estimate.

[0115] Specifically, the total value P LD Total can be estimated.

[0116]

number

[0117] The total value P estimated by the first estimation unit 213 PV Total and the total value P estimated by the second estimation unit 214 LD Total is a quantity estimated using various measured values, but for convenience of explanation, these may be referred to as "measured values" below.

[0118] Total value P LD Total and the total value P PV Total Putting these together, we can obtain the measurement value y LD_PV Let us assume that.

[0119]

number

[0120] Furthermore, the above-mentioned measured value y SW (Equation 1), measurement value y SM_P (Equation 2), measurement value y SM_Q (Equation 3) and the measured value y LD_PV Equation 7 is compiled into the following equation to obtain the measured value y: Note that the measured value y corresponds to the "fourth measured value."

[0121]

number

[0122] [Third estimation section 215] The third estimation unit 215 estimates the measurement value y SW (Equation 1), measurement value y SM_P (Equation 2), y SM_Q (Equation 3), y LD_PV (Equation 7), the state value x(t) is estimated based on the system information and the facility information.

[0123] The state value x(t) is the effective power P of each of the multiple loads in the target section. LD and reactive power Q LD and the effective power P of each output of the multiple photovoltaic power generation equipment PV1 to PV4 PV and reactive power Q PV The state value x(t) will be described in detail below.

[0124] Active power P LD is expressed by the following equation.

[0125]

number

[0126] Here, P1 L_LD ,P2 L_LD ,P3 L_LD ,P1 H_LD ,P2 H_LD ,P3 H_LD are the active powers of the loads of the customers L1, L2, L3, H1, H2, and H3, respectively. Note that the values ​​for the customers L3 and H3 that do not have a load are zero.

[0127] Active power P PV is expressed by the following equation.

[0128]

number

[0129] Here, P1 L_PV ,P2L_PV ,P3 L_PV ,P1 H_PV ,P2 H_PV ,P3 H_PV are the active powers of the outputs of the photovoltaic power generation facilities PV1 to PV4 of the customers L1, L2, L3, H1, H2, and H3, respectively. Note that the values ​​for the customers L1 and H1 that do not have photovoltaic power generation facilities are zero.

[0130] Reactive power Q LD is expressed by the following equation.

[0131]

number

[0132] Here, Q1 L_LD ,Q2 L_LD ,Q3 L_LD ,Q1 H_LD ,Q2 H_LD ,Q3 H_LD are the reactive powers of the loads of the customers L1, L2, L3, H1, H2, and H3, respectively. Note that the values ​​for the customers L3 and H3 that do not have a load are zero.

[0133] Reactive power Q PV is expressed by the following equation.

[0134]

number

[0135] Here, Q1 L_PV ,Q2 L_PV ,Q3 L_PV ,Q1 H_PV , Q2 H_PV ,Q3 H_PV are the reactive powers of the outputs of the photovoltaic power generation facilities PV1 to PV4 of the customers L1, L2, L3, H1, H2, and H3, respectively. Note that the values ​​for the customers L1 and H1 that do not have photovoltaic power generation facilities are zero.

[0136] In the explanation so far, the number of state values ​​to be estimated is 16, excluding state values ​​whose value is zero. In this embodiment, several conditions are used to reduce the number of state values ​​to be estimated. Each condition will be explained below.

[0137] ·Condition C1 The third estimation unit 215 estimates the state value using an approximate condition C1 (corresponding to the "first condition") that assumes that the ratio of the active power of the output of each of the multiple photovoltaic power generation facilities PV1 to PV4 is equal to the ratio of the capacity of each of the multiple photovoltaic power generation facilities PV1 to PV4.

[0138] Specifically, the effective power P of the output of the multiple photovoltaic power generation facilities PV1 to PV4 shown in Equation 10 PV The following condition C1 is imposed on

[0139]

number

[0140] Here, P on the right hand side PV sampled is a scalar quantity and is the unknown quantity to be estimated. Also, c has six components as shown in the following equation.

[0141]

number

[0142] Here, c1 L ,c2 L ,c3 L ,c1 H ,c2 H ,c3 H are the capacities of the photovoltaic power generation facilities PV1 to PV4 owned by the customers L1, L2, L3, H1, H2, and H3, respectively. Note that the values ​​for the customers L1 and H1 that do not have photovoltaic power generation facilities are zero. These are acquired by the first acquisition unit 210 from the facility information DB 221.

[0143] ·Condition C2 The third estimation unit 215 estimates the state value by further using a condition C2 (corresponding to the "second condition") that the ratio of the reactive power of the output of each of the multiple photovoltaic power generation facilities PV1 to PV4 is equal to the ratio of the product of the capacity and the tangent of the power factor angle of the multiple photovoltaic power generation facilities PV1 to PV4.

[0144] Specifically, the reactive power Q of the output of multiple photovoltaic power generation facilities PV1 to PV4 shown in Equation 12 PV The following condition C2 is imposed on

[0145]

number

[0146] Here, P on the right hand side PV sampled is a scalar quantity shown in Equation 13. Also, d has six components as shown in the following equation.

[0147]

number

[0148] Here, c1 L ,c2 L ,c3 L ,c1 H ,c2 H ,c3 H is the value shown in Equation 14. L and γ H are the tangents of the power factor angles set for the photovoltaic power generation facilities PV1 to PV4 owned by the low voltage consumers L1 to L3 and the high voltage consumers H1 to H3, respectively.

[0149] Tangent gamma L and γ H is expressed by the following equation.

[0150]

number

[0151] Here, θL_PV is the power factor angle set for the photovoltaic power generation facilities PV1 and PV2 of the low-voltage consumers L1 to L3, and θ L_PV are power factor angles set for the photovoltaic power generation facilities PV3 and PV4 of the high voltage consumers H1 to H3. These are acquired from the facility information DB 221 described above.

[0152] Such a condition C2 is effective when the photovoltaic power generation facilities PV1 to PV4 connected to the power system 1 are required to operate at a constant power factor.

[0153] ·Condition C3 The third estimation unit 215 estimates the state value by using an approximate condition C3 (corresponding to a "third condition") that assumes that the power factors are equal in the loads of the low-voltage consumers L1 to L3.

[0154] Specifically, the reactive power Q of multiple loads shown in Equation 11 LD The following condition C3 is imposed.

[0155]

number

[0156] Here, β(t) is the unknown quantity to be estimated and is expressed by the following equation.

[0157]

number

[0158] Conditions C1 to C3 have been described above. When all of these conditions C1 to C3 are imposed on the state values ​​shown in Formulas 9 to 12, the state value x(t) to be estimated is expressed by the following formula.

[0159]

number

[0160] As shown in Equation 20, the number of state values ​​x(t) to be estimated is 8. Note that this is because the P3 L_LD , P3 H_LD and Q3 H_LD This is the number when omitting.

[0161] In this embodiment, the conditions C1 to C3 are imposed, but it is not necessary to impose all of them. It is also possible to impose some of these conditions, or none of the conditions.

[0162] JPEG2025034810000022.jpg19170

[0163] JPEG2025034810000023.jpg13170

[0164] JPEG2025034810000024.jpg6170

[0165]

number

[0166] In this equation, the left side is expressed as follows.

[0167]

number

[0168] JPEG2025034810000027.jpg13170

[0169]

number

[0170] Here, the function F SWis a power flow equation for finding the measured values ​​of the voltage, active power flow, and reactive power flow of the sensor-equipped switches SW1 and SW2 from a given state value x(t).

[0171] JPEG2025034810000029.jpg13170

[0172]

number

[0173] Here, the function F SM_P From the given state value x(t), the load active power and the active power of the output of the photovoltaic power generation equipment PV1 to PV4 are extracted at each node, and the sum of these is calculated as the active power measurement value y SM_P This is a function that corresponds to

[0174] JPEG2025034810000031.jpg13170

[0175]

number

[0176] Here, the function F SM_Q From the given state value x(t), the reactive power of the load and the reactive power of the output of the photovoltaic power generation equipment PV1 to PV4 are extracted at each node, and the sum of these is calculated as the reactive power measurement value y SM_Q This is a function that corresponds to

[0177] JPEG2025034810000033.jpg13170

[0178]

number

[0179] Here, the function F LD_PVFrom the given state value x(t), the active power of the load at each node and the active power of the output of the photovoltaic power generation equipment PV1 to PV4 at each node are extracted, and the total value of each is calculated to obtain the total active power of the load in the target section, P LD Total and the total effective power output of the entire photovoltaic power generation equipment PV1 to PV4 in the target section P PV Total This is a function that corresponds to

[0180] From the above, F on the right side of Expression 21 is expressed by the following expression.

[0181]

number

[0182] In addition, F in Formula 27 SW (x(t)) corresponds to the "first calculated value". SM_P (x(t)) and F SM_Q (x(t)) corresponds to the "second calculated value". LD_PV Among (x(t)), the calculated value corresponding to the total value of the active energy of the output of the photovoltaic power generation facilities PV1 to PV4 corresponds to the “third calculated value”, and the calculated value corresponding to the total value of the active power of the load corresponds to the “fourth calculated value”.

[0183] Next, a detailed explanation will be given of the error indicator E. The error indicator E is the sum of the differences between the measured value y(t) and the calculated value F(x(t)) multiplied by a predetermined weight.

[0184] Specifically, the index E is expressed by the following formula.

[0185]

number

[0186] Here, W on the right side is a predetermined weighting matrix and is expressed by the following equation.

[0187]

number

[0188] In formula 29, I SW is F shown in Equation 23. SW is a unit matrix according to the number of elements of . Also, σ SW F SW is the weight for each element of

[0189]

number

[0190] In formula 29, I SM_P is F shown in Equation 24. SM_P is a unit matrix according to the number of elements of . Also, σ SM_P F SM_P is the weight for each element of

[0191]

number

[0192] In formula 29, I SM_Q is F shown in Equation 25. SM_Q is a unit matrix according to the number of elements of . Also, σ SM_Q F SM_Q is the weight for each element of

[0193]

number

[0194] In formula 29, I LD_PV is F shown in Equation 26. LD_PV is a unit matrix according to the number of elements of . Also, σ LD_PV F LD_PV is the weight for each element of

[0195]

number

[0196] The format of the weighting matrix W has been explained above, but a specific method for setting the weighting matrix will be described later.

[0197] In this embodiment, the third estimation unit 215 searches for a state value x(t) that minimizes the index E(x(t)) shown in Expression 28 as shown in the following expression.

[0198]

number

[0199] The state value x(t) obtained by Equation 34 is the estimated state value of the target section of the power system 1.

[0200] [Fourth estimation section 216] The fourth estimation unit 216 estimates the voltage distribution in the target section based on the state values ​​estimated by the third estimation unit 215.

[0201] Specifically, the fourth estimation unit 216 can obtain the voltage value of each node by power flow calculation using the state value x(t). The fourth estimation unit 216 can estimate the voltage distribution on the distribution line 11 in the target section based on the voltage value of each node.

[0202] [Output section 217] The output unit 217 outputs the state value x(t) in the target section estimated by the third estimation unit 215. The output unit 217 further outputs the voltage distribution in the target section estimated by the fourth estimation unit 216.

[0203] [Calculation section 218] The calculation unit 218 calculates the above-mentioned weighting matrix W (Formula 29) based on the measured values ​​for a predetermined period in the past. The method by which the calculation unit 218 calculates the weighting matrix W will be described in detail later.

[0204] <<Processing until the status value is output>> The process until the information processing device 2 outputs a state value will be described with reference to a flowchart. Fig. 6 is a flowchart illustrating the process until the information processing device 2 outputs a state value. This process includes steps S100 to S107.

[0205] First, in step S101, the first acquisition unit 210 acquires system information from the system information DB 220, acquires facility information from the facility information DB 221, and acquires a weighting matrix and the like (FIG. 4) from the setting value DB 222.

[0206] Next, in step S102, the second acquisition unit 211 acquires the measurement value y SW Obtain (Formula 1).

[0207] Next, in step S103, the third acquisition unit 212 acquires the measured value y at time t from the power meters SM1 and SM2 via the communication network 4. SM_P (Equation 2) and y SM_Q (Formula 3) is obtained.

[0208] Next, in step S104, the first estimation unit 213 calculates a first total value P PV Total (Equation 5) is estimated.

[0209] At this time, as shown in Equation 4 and Equation 5, the first estimation unit 213 calculates the total capacity C of the photovoltaic power generation facilities PV2 and PV4 owned by the consumers L3 and H3 who purchase all PV power. PV_Only and the total capacity of the multiple solar power generation facilities PV1 to PV4 in the target section C PV_Total and the measured value P3 of the active power from the power meters SM1 and SM2 of the consumers L3 and H3. L_SM and P3 H_SM Based on (Equation 2), the total value P PV Total Estimate.

[0210] Next, in step S105, the second estimation unit 214 calculates a second total value P LD Total (Equation 6) is estimated.

[0211] At this time, as shown in Equation 6, the second estimation unit 214 calculates the total value P PV Total Based on the total value P LD Total Estimate.

[0212] Next, in step S106, the third estimation unit 215 estimates the measurement value y SW (Equation 1), the second measurement value y SM_P (Formula 2)y SM_Q (Formula 3), the sum P LD Total (Formula 5), ​​the second sum P LD Total (Equation 6) estimates the state value based on the system information and facility information.

[0213] At this time, in this embodiment, the third estimation unit 215 imposes conditions C1 to C3 (formulas 13, 15, and 18) on the state values ​​(formulas 9 to 12). Then, the state value x to be estimated is given by formula 20.

[0214] Then, the third estimation unit 215 estimates the state value x(t) by minimizing an index (Formula 28) indicating the error between the measurement value y (Formula 8) and the calculation value corresponding to the measurement value y (Formula 21).

[0215] Next, in step S107, the fourth estimator 216 estimates the voltage distribution in the target section based on the state value x(t) estimated in step S106.

[0216] Finally, the output unit 217 outputs the state value x(t) in the target section estimated in step S105 and the voltage distribution in the target section estimated in step S106 to the estimated value DB 224. This completes the process up to outputting the estimated state x(t).

[0217] According to the procedure described above, it is possible to improve the accuracy of state estimation in the power system 1.

[0218] <<How to calculate the weighting matrix W>> A method for determining the weighting matrix W will be described with reference to a flowchart. Fig. 7 is a flowchart illustrating a method for determining the weighting matrix W. This process includes steps S201 to S204.

[0219] First, in step S201, the first acquisition unit 210 acquires, from the measurement value DB 223, the measurement values ​​y SW Obtain (Formula 1).

[0220] The predetermined period of the past is, for example, one week in the past. In this embodiment, the predetermined period of the past is discretized as time t=1, 2, . . . T.

[0221] Next, in step S202, the second acquisition unit 211 acquires, from the measurement value DB 223, the measurement values ​​y SM_P (Equation 2) and y SM_Q (Formula 3) is obtained.

[0222] Next, in step S203, the calculation unit 218 calculates the measured value y SW and the measured value y SM_P and y SM_Q The weight matrix W is calculated using

[0223] In the processing of calculation unit 218, the weights, which are components of weighting matrix W, are values ​​that minimize the error between the measured value y during a specified period of the past and the calculated value during a specified period of the past when calculated using the weights.

[0224] Specifically, the calculation unit 218 calculates the weighting matrix W by solving the following optimization problem.

[0225]

number

[0226] Here, σ collectively represents the elements (weights) of the weighting matrix W. The calculation unit 218 solves the optimization problem of Equation 35 using the weights σ as decision variables.

[0227] In Equation 35, the first term in curly brackets is the value at each time (t=1 to T) of the measurement value y shown in Equation 8. The second term in curly brackets is a calculated value obtained by using Equation 21 from the state value x(t) obtained when state estimation is performed by Equation 34 with application of the weight σ.

[0228] Next, in step S203, the calculation unit 218 updates the weighting matrix W recorded in the setting value DB 222 to the weighting matrix W obtained by the latest calculation.

[0229] According to the method for calculating the weighting matrix W described above, it is possible to obtain weights that can best reproduce past measured values ​​y(t) by calculation based on the obtained state values ​​x(t).

[0230] ==Summary== As described above, the information processing device 2 of the embodiment is an information processing device that estimates a state value of a predetermined section of a power system 1 including a plurality of consumers, each of which has at least one of a load or a photovoltaic power generation facility and is provided with a watt-hour meter capable of acquiring a first measurement value of active power, and a sensor capable of measuring voltage, active power flow, and reactive power flow, using a first measurement value from the watt-hour meter SM1, SM2 of each of the plurality of consumers and a second measurement value from the sensor, and the first estimation unit estimates a first total value of active power of the output of a plurality of photovoltaic power generation facilities PV3, PV4 included in the predetermined section. The power grid 1 includes a power supply determining unit 213 that estimates a second total value of the active power of a plurality of loads included in a specified interval, and a third estimation unit 215 that estimates a state value based on the first measurement value, the second measurement value, the first total value, the second total value, system information representing the components of the power grid 1 in the specified interval and the electrical characteristics of the components, and equipment information relating to each of the plurality of loads and the plurality of photovoltaic power generation facilities PV3 and PV4, and the state values ​​include the active power and reactive power of each of the plurality of loads, and the active power and reactive power of the output of each of the plurality of photovoltaic power generation facilities PV3 and PV4.

[0231] According to such a configuration, it is possible to estimate the active power and reactive power of a plurality of loads included in the power system 1, and the active power and reactive power of the output of the plurality of photovoltaic power generation facilities PV3 and PV4. Therefore, it is possible to improve the accuracy of state estimation in the power system 1.

[0232] . Furthermore, in the information processing device 2, the second estimator estimates the second total value based on the active power flow and the first total value among the second measurement values. With this configuration, the estimation accuracy of the second total value is improved. Therefore, it is possible to further improve the accuracy of state estimation.

[0233] In the information processing device 2, the multiple consumers include a consumer equipped with a watt-hour meter SM2 capable of further acquiring a third measurement value of reactive power, and the third estimation unit estimates the state value further based on the third measurement value. With this configuration, the measurement value of reactive power from the consumer equipped with a watt-hour meter capable of measuring reactive power can be further taken into consideration in the state estimation. Therefore, it is possible to further improve the accuracy of the state estimation.

[0234] In the information processing device 2, the multiple consumers include consumers that have only photovoltaic power generation equipment among the load and the photovoltaic power generation equipment, the equipment information includes the capacity of each of the multiple photovoltaic power generation equipment PV3 and PV4, and the first estimation unit 213 estimates the first total value based on the total value of the capacity of the photovoltaic power generation equipment PV4 of the consumer that has only photovoltaic power generation equipment, the total value of the capacity of the multiple photovoltaic power generation equipment PV3 and PV4, and the first measurement value from the watt-hour meter SM2 of the consumer that has only photovoltaic power generation equipment. With this configuration, it is possible to estimate the first total value without using the measurement value of the active power from the watt-hour meter of the consumer that purchases PV surplus, in which the active power of the load and the active power of the output of the photovoltaic power generation equipment PV3 are mixed. Therefore, the calculation for state estimation is simplified.

[0235] In the information processing device 2, the capacity of each of the photovoltaic power generation facilities PV3 and PV4 is included, and the first estimation unit 213 estimates the first total value based on the total value of the capacities of the photovoltaic power generation facilities PV3 and PV4 and information on solar radiation in a predetermined section. With this configuration, the first total value can be estimated without using the measured value of active power from the watt-hour meter of the PV surplus purchase customer, in which the active power of the load and the active power of the output of the photovoltaic power generation facility PV3 are mixed. Therefore, the calculation for state estimation is simplified.

[0236] In the information processing device 2, the facility information includes the capacity of each of the multiple photovoltaic power generation facilities PV3 and PV4, and the third estimation unit 215 estimates the state value using an approximate first condition C1 that assumes that the ratio of the active power of the outputs of the multiple photovoltaic power generation facilities PV3 and PV4 is equal to the ratio of the capacities of the multiple photovoltaic power generation facilities PV3 and PV4. With this configuration, the number of unknowns to be estimated is reduced, making it easier to perform calculations for state estimation.

[0237] In the information processing device 2, the facility information further includes power factors set for the multiple photovoltaic power generation facilities PV3 and PV4, and the third estimation unit 215 estimates the state value by further using a second condition C2 in which the ratio of reactive power of the output of each of the multiple photovoltaic power generation facilities PV3 and PV4 is equal to the ratio of the product of the capacity and the tangent of the power factor angle of the multiple photovoltaic power generation facilities PV3 and PV4. With such a configuration, the number of unknowns to be estimated is reduced, and the calculation for state estimation is simplified.

[0238] In the information processing device 2, each of the multiple consumers is classified into one of a first consumer having a load, a second consumer having a load and a photovoltaic power generation facility, a third consumer having a photovoltaic power generation facility, a fourth consumer having a load and a watt-hour meter capable of measuring reactive power, a fifth consumer having a load and a photovoltaic power generation facility and a watt-hour meter capable of measuring reactive power, and a sixth consumer having a photovoltaic power generation facility and a watt-hour meter capable of measuring reactive power, and the third estimation unit 215 estimates the state value using an approximate third condition C3 that assumes that the power factors are equal in the loads of the first and second consumers. With such a configuration, the number of unknowns to be estimated is reduced, and the calculation for state estimation is simplified.

[0239] Furthermore, in the information processing device 2, the third estimation unit 215 estimates the state value so as to optimize an index indicating an error between the first to fourth calculated values ​​corresponding to the first and second measured values, the first total value and the second total value, respectively, and the first and second measured values ​​and the first and second total values, and the first to fourth calculated values ​​are values ​​corresponding to the first and second measured values ​​and the first and second total values, respectively, calculated by substituting the estimated state value into a predetermined relational expression between the state value and the fourth measured value. With this configuration, the accuracy of state estimation is improved.

[0240] In the information processing device 2, the index is a sum of values ​​obtained by multiplying the differences between the first and second measurement values, the first and second sum values, and the first to fourth calculation values ​​by predetermined weights. With this configuration, the weights can be set according to the importance of the measurement values, thereby further improving the accuracy of state estimation.

[0241] In the information processing device 2, the weights are values ​​that minimize the errors between the first and second measurement values ​​and the first and second total values ​​in a predetermined period of the past, and the first to fourth calculated values ​​in a predetermined period of the past when calculated using the weights. With this configuration, it is possible to determine weights that allow accurate state estimation based on past data. Therefore, the accuracy of state estimation is further improved.

[0242] Moreover, the information processing device 2 further includes a fourth estimator 216 that estimates the voltage distribution in a predetermined section based on the estimated state value. With this configuration, the accuracy of the estimation of the voltage distribution is improved.

[0243] An information processing method according to an embodiment is an information processing method for estimating a state value of a predetermined section of a power system 1 including a plurality of consumers, each of which has at least one of a load or a photovoltaic power generation facility and is provided with a power meter capable of acquiring a first measurement value of active power, and a sensor capable of measuring voltage, active power flow, and reactive power flow, using a first measurement value from the power meters SM1, SM2 of the plurality of consumers and a second measurement value from the sensor, the method including the steps of: an information processing device 2 estimating a first total value of active power of output of a plurality of photovoltaic power generation facilities PV3, PV4 included in the predetermined section; estimating a second total value of active power of a plurality of loads included in the predetermined section; and estimating the state value based on the first measurement value, the second measurement value, the first total value, the second total value, system information representing components of the power system 1 in the predetermined section and electrical characteristics of the components, and equipment information relating to each of the plurality of loads and the plurality of photovoltaic power generation facilities PV3, PV4, the state value including the active power and reactive power of each of the plurality of loads, and the active power and reactive power of output of each of the plurality of photovoltaic power generation facilities PV3, PV4.

[0244] According to this method, it is possible to estimate the active power and reactive power of a plurality of loads included in the power system 1 and the active power and reactive power of the output of the plurality of photovoltaic power generation facilities PV3 and PV4. Therefore, it is possible to improve the accuracy of state estimation in the power system 1.

[0245] An information processing program according to an embodiment is an information processing program for estimating a state value of a predetermined section of a power system 1 including a plurality of consumers, each of which has at least one of a load or a photovoltaic power generation facility and is provided with a watt-hour meter capable of acquiring a first measurement value of active power, and a sensor capable of measuring voltage, active power flow, and reactive power flow, using a first measurement value from the watt-hour meter SM1, SM2 of each of the plurality of consumers and a second measurement value from the sensor, and for causing a computer to estimate a first total value of active power of the output of a plurality of photovoltaic power generation facilities PV3, PV4 included in the predetermined section. The power grid 1 includes a first estimator 213 for estimating a second total value of the active powers of a plurality of loads included in a specified interval, a second estimator 214 for estimating a second total value of the active powers of a plurality of loads included in a specified interval, and a third estimator 215 for estimating a state value based on the first measurement value, the second measurement value, the first total value, the second total value, system information representing the components of the power grid 1 in the specified interval and the electrical characteristics of the components, and equipment information relating to each of the plurality of loads and the plurality of photovoltaic power generation facilities PV3 and PV4, and the state value includes the active power and reactive power of each of the plurality of loads and the active power and reactive power of the output of each of the plurality of photovoltaic power generation facilities PV3 and PV4.

[0246] According to such a program, it is possible to estimate the active power and reactive power of a plurality of loads included in the power system 1, and the active power and reactive power of the output of the plurality of photovoltaic power generation facilities PV3 and PV4. Therefore, it is possible to improve the accuracy of state estimation in the power system 1. [Explanation of symbols]

[0247] power system 1 Distribution Substation 10 Power Lines 11 High voltage power receiving equipment 12 Drop line 13 Data processing device 2 CPU 200 Memory 201 Communication device 202 Storage device 203 Input Device 204 Output Device 205 Recording medium reader 206 Lineage information DB 220 Equipment information DB 221 Setting value DB 222 Measurement data base 223 Estimated value DB 224 First acquisition part 210 2nd acquisition part 211 Third acquisition part 212 1st estimation part 213 2nd estimation part 214 Third estimation part 215 4th estimation part 216 Output section 217 Calculation section 218 Sensor-equipped switch SW Recording medium 3 Communication Network 4

Claims

1. An information processing device that estimates a state value of a predetermined section of a power system including a plurality of consumers, each of which has at least one of a load or a photovoltaic power generation facility and is provided with a watt-hour meter capable of acquiring a first measurement value of active power, and a sensor capable of measuring a voltage, an active power flow, and a reactive power flow, using the first measurement value from the watt-hour meter of each of the plurality of consumers and a second measurement value from the sensor, a first estimation unit that estimates a first total value of active power of outputs of a plurality of photovoltaic power generation facilities included in the predetermined section; A second estimation unit that estimates a second total value of active powers of a plurality of loads included in the predetermined section; a third estimation unit that estimates the state value based on the first measurement value, the second measurement value, the first sum value, the second sum value, system information that represents components of the power system in the predetermined section and electrical characteristics of the components, and facility information that represents each of the plurality of loads and the plurality of photovoltaic power generation facilities; Including, The state value is The active power and reactive power of each of the plurality of loads, and the active power and reactive power of each of the plurality of photovoltaic power generation facilities, Information processing device.

2. 2. The information processing device according to claim 1, The second estimation unit estimates the second sum value based on an active power flow among the second measurement values ​​and the first sum value. Information processing device.

3. 2. The information processing device according to claim 1, the plurality of consumers includes a consumer provided with the watt-hour meter capable of further acquiring a third measurement value of reactive power; The third estimation unit estimates the state value further based on the third measurement value. Information processing device.

4. 2. The information processing device according to claim 1, The plurality of consumers includes a consumer having only a photovoltaic power generation facility among a load and a photovoltaic power generation facility, The facility information includes a capacity of each of the plurality of photovoltaic power generation facilities, The first estimation unit is The first total value is estimated based on a total value of capacities of photovoltaic power generation facilities of the consumer having only the photovoltaic power generation facility, a total value of capacities of the plurality of photovoltaic power generation facilities, and the first measurement value from the watt-hour meter of the consumer having only the photovoltaic power generation facility. Information processing device.

5. 2. The information processing device according to claim 1, The facility information includes a capacity of each of the plurality of photovoltaic power generation facilities, The first estimation unit estimates the first total value based on a total value of capacities of the plurality of photovoltaic power generation facilities and information regarding solar radiation in the specified section. Information processing device.

6. 2. The information processing device according to claim 1, The facility information includes a capacity of each of the plurality of photovoltaic power generation facilities, The third estimation unit is The state value is estimated using an approximate first condition assuming that a ratio of active power of outputs of the plurality of photovoltaic power generation facilities is equal to a ratio of capacities of the plurality of photovoltaic power generation facilities; Information processing device.

7. 7. The information processing device according to claim 6, The facility information further includes power factors set for the plurality of photovoltaic power generation facilities, The third estimation unit is The state value is estimated using a second condition that a ratio of reactive power of each of the outputs of the plurality of photovoltaic power generation facilities is equal to a ratio of a product of a capacity of the plurality of photovoltaic power generation facilities and a tangent of a power factor angle. Information processing device.

8. 2. The information processing device according to claim 1, Each of the plurality of consumers includes: a first consumer having a load, a second consumer having a load and a photovoltaic power generation facility, a third consumer having a photovoltaic power generation facility, a fourth consumer having a load and the watt-hour meter capable of further measuring reactive power, a fifth consumer having a load and a photovoltaic power generation facility and a watt-hour meter capable of further measuring reactive power, or a sixth consumer having a photovoltaic power generation facility and a watt-hour meter capable of further measuring reactive power, The third estimation unit is estimating the state value using an approximate third condition assuming that power factors are equal at the loads of the first and second consumers; Information processing device.

9. 2. The information processing device according to claim 1, The third estimation unit is estimating the state value so as to optimize an index indicating an error between first to fourth calculated values ​​corresponding to the first and second measured values ​​and the first and second sum values, respectively, and the first and second measured values ​​and the first and second sum values; The first to fourth calculated values ​​are values ​​corresponding to the first and second measured values ​​and the first and second total values, respectively, calculated by substituting the estimated state value into a predetermined relational expression of the state value, the first and second measured values, and the first and second total values. Information processing device.

10. The information processing device according to claim 9, The index is a sum of values ​​obtained by multiplying the differences between the first and second measurement values, the first and second sum values, and the first to fourth calculation values ​​by a predetermined weight. Information processing device.

11. The information processing device according to claim 10, The weights are: a value that minimizes an error between the first and second measurement values ​​and the first and second total values ​​in a predetermined period of the past, and the first to fourth calculated values ​​in the predetermined period of the past when calculated using the weight; Information processing device.

12. The information processing device according to any one of claims 1 to 11, a fourth estimator configured to estimate a voltage distribution in the predetermined section based on the estimated state value, Information processing device.

13. An information processing method for estimating a state value of a predetermined section of a power system including a plurality of consumers, each of which has at least one of a load or a photovoltaic power generation facility and is provided with a watt-hour meter capable of acquiring a first measurement value of active power, and a sensor capable of measuring a voltage, an active power flow, and a reactive power flow, using the first measurement value from the watt-hour meter of each of the plurality of consumers and a second measurement value from the sensor, An information processing device, estimating a first total value of active power of outputs of a plurality of photovoltaic power generation facilities included in the predetermined section; estimating a second total value of active powers of a plurality of loads included in the predetermined section; estimating the state value based on the first measurement value, the second measurement value, the first sum value, the second sum value, system information representing components of the power system in the predetermined section and electrical characteristics of the components, and facility information relating to each of the plurality of loads and the plurality of photovoltaic power generation facilities; Including, The state value is The active power and reactive power of each of the plurality of loads, and the active power and reactive power of each of the plurality of photovoltaic power generation facilities, Information processing methods.

14. 1. An information processing program for estimating a state value of a predetermined section of a power system including a plurality of consumers, each of which has at least one of a load or a photovoltaic power generation facility and is provided with a watt-hour meter capable of acquiring a first measurement value of active power, and a sensor capable of measuring a voltage, an active power flow, and a reactive power flow, using the first measurement value from the watt-hour meter of each of the plurality of consumers and a second measurement value from the sensor, On the computer, a first estimation unit that estimates a first total value of active power of outputs of a plurality of photovoltaic power generation facilities included in the predetermined section; A second estimation unit that estimates a second total value of active powers of a plurality of loads included in the predetermined section; a third estimation unit that estimates the state value based on the first measurement value, the second measurement value, the first sum value, the second sum value, system information that represents components of the power system in the predetermined section and electrical characteristics of the components, and facility information that represents each of the plurality of loads and the plurality of photovoltaic power generation facilities; Realize this, The state value is The active power and reactive power of each of the plurality of loads, and the active power and reactive power of each of the plurality of photovoltaic power generation facilities, Information processing program.

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