JP2015130717A - Power system facility plan support device and power system facility plan support method - Google Patents

Abstract

PROBLEM TO BE SOLVED: To perform support, on the basis of arrangement of measurement instruments and a collection period, so that a power system facility plan can be created effectively.SOLUTION: A power system facility plan support device 1 includes: a power flow calculation unit 16 for calculating an electric state of a predetermined point in a power system; a first error calculation unit 18 for calculating, as a first error, an error of the electric state depending on arrangement of a measurement instrument 6; a second error calculation unit 19 for calculating, as a second error, an error of the electric state depending on a collection period in which the electric state is collected from the measurement instrument; and a proposal information output unit 20 for outputting proposal information for supporting determination of the arrangement of the measurement instrument and collection period on the basis of the first and second errors. The power system facility plan support device 1 determines the arrangement of the measurement instrument 6 and collection period which minimize the total of the first and second errors, and provides them for a user.

Description

  The present invention relates to a power system facility plan support apparatus and a power system facility plan support method.

  Small-scale distributed power sources that use renewable energy such as sunlight and wind power have become widespread. These distributed power sources are distributed on the power system, and the amount of power generation changes according to external factors such as weather changes. Therefore, in a power system linked to such a distributed power source, a local voltage rise or voltage drop occurs depending on external factors. For this reason, there is a risk that the state of the power system will change greatly from moment to moment and the power quality will deteriorate.

  Therefore, in future power system control, it will be possible to constantly grasp the state of the power system by installing measuring instruments at each point of the power system and consolidating the measured values of each measuring instrument into a collection server using a communication network. Is desired (Patent Documents 1 to 4).

JP 2008-72791 A JP 1999-262180 A JP 2006-296030 A JP 2008-154418 A

  Patent Document 1 describes a method for determining a position where a measuring instrument is installed in a power system. However, Patent Document 1 does not touch on a configuration necessary for collecting measurement information of a measuring instrument on a collection server, that is, a communication capacity of a communication network and a period of collecting information on the measuring instrument.

  For example, consider the case where an existing communication carrier is used as communication equipment for sending information measured by a measuring instrument to a collection server. In this case, it is necessary to consider restrictions on the communicable area and communication capacity. This is because a measuring instrument provided outside the communicable area cannot transmit information to the collection server. Further, when the total amount of information transmitted by each measuring instrument exceeds the communication capacity limit, at least a part of the measurement information may not reach the collection server.

  When the communication capacity is determined, the number of measuring instruments that can be arranged in the power system and the period (collection period) at which the collection server acquires information from each measuring instrument have a proportional relationship. If the number of measuring instruments is increased, the collection cycle needs to be lengthened. Conversely, if the number of measuring instruments is decreased, the collection cycle can be shortened.

  By the way, although the electrical state of the place where the measuring instrument is not arranged can be estimated by interpolation calculation, the difference (estimated error) between the estimated value and the actual value is the number of measuring instruments, Depends on installation location. For example, the error decreases as the number of measuring instruments provided in the power system increases, and the error increases as the number of measuring instruments decreases.

  In addition, the collection server acquires measurement values at discrete time intervals such as a 1-minute cycle and a 30-minute cycle. For this reason, the collection server cannot detect voltage fluctuations during the collection interval. When the acquisition period is shortened, the undetected voltage fluctuation range is reduced, and when the acquisition period is extended, the undetected voltage fluctuation range is increased.

  Although it is desirable that both the estimation error and the undetected fluctuation range are minimum, as described above, the two are not in an independent relationship but in a trade-off relationship. Therefore, when creating a facility plan for the power system, it is necessary to design in consideration of the arrangement of the measuring instruments and the collection cycle.

  Hereinafter, the estimation error is referred to as an error depending on the arrangement of measuring instruments, and the undetected fluctuation range is referred to as an error depending on the collection period.

  Therefore, an object of the present invention is to provide a power system facility plan support apparatus and a power system facility plan support method that assists in effectively creating a power system facility plan based on the arrangement and collection period of measuring instruments. There is to do.

  In order to solve the above problems, a power system facility plan support apparatus according to the present invention is a power system facility plan support apparatus that supports creation of a facility plan related to a power system, and calculates an electrical state at a predetermined point of the power system. A tidal current calculation unit, a first error calculation unit that calculates an error in the electrical state depending on the arrangement of the measuring instrument for measuring the electrical state of the power system as a first error, and the electrical state is collected from the measuring instrument A second error calculation unit for calculating an error in an electrical state depending on a collection period to be used as a second error, and for determining the arrangement of the measuring instrument and the collection period based on the first error and the second error A proposal information output unit that outputs the proposal information.

  According to the present invention, by using the proposal information generated based on the first error that depends on the arrangement of the measuring instrument and the second error that depends on the collection period, the user can arrange and collect the measuring instrument. The period can be determined relatively easily.

The structure of the whole system including a power system facility plan support device is shown. The hardware configuration of a power system facility plan support device is shown. The configuration of the power system is shown. The table which manages the structure of an electric power network is shown. The table which manages load amount and electric power generation amount is shown. The table which manages the conditions regarding communication equipment is shown. The table which manages the tidal current calculation result is shown. The table which manages the combination of the number of measuring instruments and a collection period is shown. The table which manages the error depending on arrangement of a measuring instrument is shown. The table which manages the error depending on a collection cycle is shown. The table which manages the total value of an error is shown. The table which manages the conditions regarding a measuring instrument is shown. It is a figure for demonstrating the error depending on a collection period. (A) shows the relationship between the number of measuring instruments and the voltage error, and (b) is a characteristic diagram showing the relationship between the collection period and the voltage error. It is explanatory drawing which shows the relationship between the number of measuring instruments, a collection period, and a voltage error. It is a flowchart which shows the process for calculating the combination of the number of measuring instruments and a collection period. It is a flowchart which shows the process for calculating the error depending on arrangement | positioning of a measuring device. It is a flowchart which shows the process for calculating the error depending on a collection period. It is a flowchart which shows the process for calculating an optimal solution. The example of the screen which assists creation of the power system equipment plan is shown. The structure of the whole system which concerns on Example 2 and contains an electric power system installation plan assistance apparatus is shown. The table which manages the conditions of a measuring instrument is shown. It is a flowchart which shows the process for calculating the combination of the number of measuring instruments and a collection period. It is a flowchart which shows the process for calculating the error depending on arrangement | positioning of a measuring device. The structure of the whole system which concerns on Example 3 and contains an electric power system installation plan assistance apparatus is shown. The hardware configuration of a power system facility plan support device is shown. The table which manages the conditions regarding a measuring instrument is shown. The table which manages the conditions regarding communication capacity is shown. It is a flowchart which shows the process for calculating the error depending on arrangement | positioning of a measuring device. It is a flowchart which shows the process for calculating the error depending on a collection period. It is a flowchart which shows the process for calculating an optimal solution. It is a figure which shows the relationship between the number of measuring instruments, a collection period, and a voltage error. It is a figure which shows the relationship between the number of measuring instruments, a collection period, and a voltage error from another viewpoint. It is a figure which shows the relationship between the number of measuring instruments, a collection period, a voltage error, and a communication period. The hardware configuration of the electric power system installation plan assistance apparatus which concerns on Example 4 is shown. The table which manages the cost for every product classification is shown. The table which evaluates cost is shown. It is a figure which shows the relationship between an error and cost. It is a flowchart which shows the process for calculating an optimal solution. It is a characteristic view which shows the relationship between a voltage error and a voltage regulation range. It is a time series graph which added an error to the voltage value which is a power flow calculation result. The structure which concerns on 5th Example and connected the power system equipment plan assistance apparatus and the user terminal is shown. The structure of the whole system which concerns on 6th Example and contains an electric power system installation plan assistance apparatus is shown. The structure of the whole system which concerns on 7th Example and contains an electric power system installation plan assistance apparatus is shown. The hardware configuration of a power system facility plan support device is shown. The table which manages the target value of an error is shown. It is explanatory drawing which shows the relationship between the number of measuring instruments, a collection period, and a voltage error. The table which manages an error is shown. It is a flowchart which shows the process for calculating an optimal solution.

  Hereinafter, embodiments of the present invention will be described with reference to the drawings. As described below, in the present embodiment, information for determining the arrangement of the measuring instrument and the collection period is generated in consideration of both the error based on the arrangement of the measuring instrument and the error based on the collection period. Here, the measuring instrument is a device that measures the amount of electricity on the power system such as voltage, current, active power, and reactive power.

  In the present embodiment, as will be described later, a configuration 17 for calculating a combination candidate of the collection period and the number of measuring instruments, a configuration 18 for calculating a first voltage error depending on the number of measuring instruments, and a collection It has the structure 19 which calculates the 2nd voltage error depending on a period, and the structure 20 which determines the arrangement | positioning and collection period of a measuring instrument which the sum total of a voltage error becomes the minimum.

  Thereby, according to this embodiment, the determination regarding arrangement | positioning of a measuring device and the setting of a collection period can be supported effectively. Furthermore, in the embodiments described later, it is possible to support the design of an electric power system that enables stable power supply so that the total cost (the sum of the introduction cost and the operation cost) is minimized. Although this embodiment describes a case where it is applied to power distribution, the present invention is not limited to this and can also be applied to power transmission.

  FIG. 1 shows the entire system including a power system facility plan support apparatus 1. Briefly describing the power system, the line 3 extending from the substation 2 is connected to the customer 5 via a plurality of utility poles 4 provided at predetermined positions. The customer 5 includes an electrical load 51, a distributed power source 52, and a wattmeter 53 with a communication function. The electric load 51 is various electric devices such as a refrigerator, an air conditioner, and an electric motor. The distributed power source 52 is, for example, a solar power generation device, a wind power generation device, a storage battery, or the like.

  The predetermined power pole 4 selected from among the plurality of power poles 4 is provided with a measuring instrument 6 for measuring and outputting an electrical state. The power management system 7 operated by a power company or the like acquires measurement information from the measuring instrument 6 via the communication network CN1. Furthermore, the power management system 7 acquires the total value of the electrical load amount of the load 51 (hereinafter referred to as load) and the power generation amount of the distributed power source 52 from the power meter 53 with communication function via the communication network CN2.

  Information output from the power system facility plan support apparatus 1 includes information on the arrangement and collection cycle of the measuring instruments 6. The user arranges the measuring instrument 6 at an appropriate location based on the information output from the power system facility plan support apparatus 1. In the example shown in FIG. 1, the power system facility plan support apparatus 1 and the power management system 7 are not directly connected, but in other embodiments to be described later, information on the load / power generation amount is obtained from the power management system 7. It can be acquired. Here, the user is a user who uses the power system facility plan support apparatus 1, and includes, for example, an administrator of the power management system 7.

  A logical configuration of the power system facility plan support apparatus 1 will be described. The power system facility planning support apparatus 1 includes, for example, a power flow calculation unit 16, a measuring instrument number / collection cycle combination calculation unit 17, a measuring instrument arrangement dependent error calculation unit 18, a collection cycle dependent error calculation unit 19, and an optimal solution. The calculation unit 20 can be included. Hereinafter, the power system facility plan support apparatus 1 may be abbreviated as the plan support apparatus 1. The plan support apparatus 1 receives the configuration of the power network, the load / power generation amount, the communication facility condition, and the measuring instrument condition, and outputs the arrangement and collection period of the measuring instrument.

  The communication facility condition is a condition for the communication facility used by the measuring instrument 6. The communication facility condition defines a communicable area, a communication capacity, and the like. Details of the communication equipment conditions will be described later.

  The measuring instrument condition includes a data size of measurement information acquired from the measuring instrument 6 and constraints to be considered when searching for an arrangement destination of the measuring instrument 6. Constraints include a lower limit value and an upper limit value for the measuring instrument to be installed. Details of the measuring instrument conditions will be described later.

  The tidal current calculation unit 16 is a function that calculates the electrical state at each point of the power network at each time by using the configuration of the power network and the load / power generation amount as inputs. The electrical state is an amount of electricity such as voltage, current, active power, reactive power, and the like. The tidal current calculation unit 16 can calculate a tidal current by the method shown in Patent Document 2, for example.

  The number-of-instruments / collection-cycle combination calculation unit 17 receives the communication facility conditions and the instrument conditions as inputs, and the number of instruments to be arranged on the power grid, and the period (collection period) for collecting information on the instruments. This is a function for calculating the combination of. The number of measuring instruments / collection period combination calculation unit 17 is an example of a “combination pattern calculation unit”. The processing performed by the number of measuring instruments / collection cycle combination calculation unit 17 will be described later with reference to FIG.

  The measuring instrument arrangement dependent error calculation unit 18 is an error that changes depending on the arrangement of the measuring instrument based on the result calculated by the power flow calculating unit 16 and the result calculated by the number of measuring instruments / collection period combination calculating unit 17. It is a function to calculate. The measuring instrument arrangement-dependent error calculation unit 18 is an example of a “first error calculating unit”, and calculates the arrangement of measuring instruments with the smallest error for each number of measuring instruments and the error at that time. The processing performed by the instrument arrangement dependent error calculation unit 18 will be described later with reference to FIG.

  The collection cycle-dependent error calculation unit 19 calculates an error that varies depending on the collection cycle based on the result calculated by the power flow calculation unit 16 and the result calculated by the number of measuring instruments / collection cycle combination calculation unit 17. It is a function. The collection period dependent error calculation unit 19 is an example of a “second error calculation unit”, and calculates an error for each collection period.

  As shown in FIG. 13, the error is the amount of voltage change that can occur by the time when the power management system 7 that is the collection server obtains the measured value next from this measuring instrument, that is, the voltage fluctuation range in each collection period. Point to. FIG. 13 shows how the voltage fluctuation amount differs between the short collection period T1 and the long collection period T2. For example, the administrator acquires measurement values at discrete time intervals such as a 1-minute cycle or a 30-minute cycle. The power management system 7 cannot detect voltage fluctuations during the collection interval. Therefore, the maximum value of the undetected width is treated as an error. The processing performed by the collection period dependent error calculation unit 19 will be described later with reference to FIG.

  The optimal solution calculation unit 20 is a measuring instrument in which the total error value (total error) is minimized based on the calculation result of the measurement instrument arrangement dependent error calculation unit 18 and the calculation result of the collection period dependent error calculation unit 19. It is a function which determines arrangement | positioning and collection period. The optimal solution calculation unit 20 is an example of a “suggested information output unit”, and presents information including the arrangement of the measuring instruments and the collection cycle that minimize the total error value to the user. The processing performed by the optimal solution calculation unit 20 will be described later with reference to FIG.

  FIG. 2 shows an example of the hardware configuration of the plan support apparatus 1. The plan support apparatus 1 includes, for example, a microprocessor (CPU: Central Processing Unit in the figure) 11, a memory 12, a storage device 13, an output device 14, and an input device 15.

  The input device 15 is a device used by a user to input information, instructions, and the like to the planning support device 1 and includes, for example, a keyboard, a mouse, a touch panel, a voice input device, a communication interface, and the like. The configuration of the power network, the load / power generation amount, the communication facility condition, the measuring instrument condition, and the like are input to the planning support apparatus 1 via the input device 15. Information such as the configuration of the power network can be manually input by the user, can be read from a removable memory device, or can be read from an external database.

  The output device 14 is a device for outputting information from the plan support device 1 and includes, for example, a display device, a display light, a speech synthesizer, a printer, a communication interface, and the like. The output device 14 displays, for example, information input by the input device 15, information output by each computer program, data of each database, and the like on the screen.

  For example, the output device 14 can propose to the user the arrangement destination and collection period of the measuring instrument by outputting the screen of FIG. Furthermore, the output device 14 can output the graphs of FIG. 14 and FIG. 15 to the screen to indicate to the user the basis for determining the arrangement destination and collection period of the measuring instrument.

  The storage device 13 is a non-volatile storage device such as a hard disk or a flash memory, and stores information such as computer programs 131 to 135 and data 136 to 144.

  The computer program stored in the storage device 13 includes a power flow calculation program 131, a measuring instrument number / collection cycle combination calculation program 132, a measuring instrument arrangement dependent error calculation program 133, a collection cycle dependent error calculation program 134, and an optimal solution. There is a calculation program 135. Details of each program will be described later. The CPU 11 reads each program into the memory 12 and executes it as necessary, thereby realizing a predetermined function.

  The data stored in the storage device 13 includes a power network configuration 136, a load / power generation amount 137, a communication facility condition 138, a power flow calculation result 139, a measuring instrument number / collection cycle combination 140, and a measuring instrument arrangement dependent error 141. And an acquisition period dependent error 142, an error 143 that is a total error, and a measuring instrument condition 144. Details of each data will be described later.

  The power flow calculation program 131 is a computer program for realizing the power flow calculation unit 16 described above. The number-of-instruments / collection cycle combination calculation program 132 is a computer program for realizing the above-described number-of-instruments / collection cycle combination calculation unit 17. The measuring instrument arrangement dependent error calculation program 133 is a computer program for realizing the measuring instrument arrangement dependent error calculation unit 18 described above. The collection cycle dependent error calculation program 134 is a computer program for realizing the above-described collection cycle dependent error calculation unit 19. The optimum solution calculation program 135 is a computer program for realizing the optimum solution calculation unit 20 described above.

  FIG. 3 shows a configuration example of a power network as a power system. As described above, the power grid includes the substation 2, the utility pole 4, the customer 5 shown in FIG. 1, and the line 3 that electrically connects these elements 2, 4, and 5. The customer 5 includes a load 51, a distributed power source 52, and a wattmeter 53.

  The substation 2 converts a voltage from a host system (not shown) into a voltage used in the power system shown in FIG. The load 51 of the consumer 5 can consume the power generated by the distributed power source 52 or can consume the power supplied from the line 3.

  Electric power from the distributed power source 52 of the customer 5 can also be supplied to the line 3. The power supply from the distributed power source 52 to the power system is also called reverse power flow because it is in the opposite direction to the normal power flow. Of the power generated by the distributed power source 52, the power that cannot be consumed by the load 51 can be supplied to the power system.

  In the figure, the utility pole 4 is given a utility pole number #n for identifying each. The position of the utility pole 4 can be specified from the utility pole number. The utility pole 4 also functions as a support for attaching the measuring instrument 6 (see FIG. 1).

  The information measured by the measuring instrument 6 is transmitted to the power system facility plan support apparatus 1 via a wired or wireless communication facility. As a wireless communication facility, for example, a wireless communication station 8 for a mobile phone communication network or a wireless LAN communication network can be used. The radio communication station 8 can communicate with the measuring instrument 6 existing in the communicable area CN1A. As a wired communication facility, for example, a communication network CN1B such as an optical fiber or a metal cable can be used. The plan support apparatus 1 can acquire measurement information from each measuring instrument 6 arranged in the power system using either or both of a wireless communication network and a wired communication network. Note that the wireless communication network and the wired communication network are referred to as a communication network CN1 unless otherwise distinguished. The measuring device 6 only needs to be connected to at least one of a wireless communication network and a wired communication network.

  FIG. 4 shows a table configuration example of the power network configuration 136. The power network configuration 136 is a database that manages the configuration of the power network. When the user inputs the configuration information of the power network from the input device 15 to the power system facility planning support device 1, the configuration information is stored in the power network configuration table 136.

  The power network configuration 136 includes, as record fields, for example, a parent device number 136a, a child device number 136b, a line resistance 136c, and a line impedance 136d. Although the same applies to the following table configuration, the illustrated table configuration is an example, and other fields other than the illustrated fields may be included.

  In the parent device number 136a, a number that uniquely identifies the utility pole 4 existing on the substation 2 side among the connections between the utility poles 4 is stored. The slave device number 136b stores a number that uniquely identifies the utility pole 4 existing on the opposite side of the substation 2 among the connections between the utility poles 4.

  The line resistance 136c stores the electrical resistance value of the electric wire connecting the utility pole 4 specified by the parent device number 136a and the utility pole 4 specified by the slave device number 136b. The line impedance 136d stores the impedance of the electric wire connecting the utility pole 4 specified by the parent device number 136a and the utility pole 4 specified by the slave device number 136b.

  FIG. 5 shows a table configuration example of the load / power generation amount 137. The load / power generation amount 137 manages the total value of the power amount (load amount) consumed by the load 51 of each power consumer 5 and the power amount (power generation amount) generated by each distributed power source 52 at each time. It is a database. When the user inputs the load / power generation amount information from the input device 15 to the power system facility plan support device 1, the information is stored in the load / power generation amount 137.

  The load / power generation amount 137 includes, for example, time 137a, utility pole number 137b, active power 137c, and reactive power 137d as record fields.

  Time information is stored at the time 137a. A number that uniquely identifies the utility pole 4 is stored in the utility pole number 137b. The active power amount 137c stores the active power amount among the total value of the load amount and the power generation amount of the customer 5 connected to the utility pole 4 identified by the utility pole number 137b. This value of active power is a value at the time specified by time 137a. The same applies to the reactive power 137d below. The reactive power 137d stores the reactive power amount among the total value of the load amount and the power generation amount of the customer 5 connected to the utility pole 4 identified by the utility pole number 137b.

  FIG. 6 shows a table configuration example of the communication facility condition 138. The communication facility condition 138 is a database that manages conditions regarding communication facilities such as a communicable area and a communication capacity. When the user inputs information on the communication facility condition from the input device 15 to the power system facility planning support device 1, the information is stored in the communication facility condition 138.

  The communication facility condition 138 includes, for example, a utility pole number 138a and a communication capacity 138b as record fields. A number that uniquely identifies the utility pole 4 is stored in the utility pole number 138a. The communication capacity 138b stores the communication capacity of the communication facility that can be used at the position of the utility pole 4 specified by the utility pole number 138a.

  FIG. 7 shows a table configuration example of the power flow calculation result 139. The tidal current calculation result 139 is a database that manages voltage values that are the result of tidal current calculation performed by the tidal current calculation unit 16. The power flow calculation result 139 includes, for example, time 139a, utility pole number 139b, and voltage 139c as record fields.

  Time information is stored at the time 139a. A number that uniquely identifies the utility pole 4 is stored in the utility pole number 139b. The voltage 139c stores the voltage value at the position of the utility pole 4 identified by the utility pole number 139b at time 139a.

  FIG. 8 shows a table configuration example of the number of measuring instruments / collection cycle combination 140. The number of measuring instruments / collection cycle combination 140 is a database that manages the calculation results of the number of measuring instruments / collection period combination calculator 17. The number-of-instruments / collection-cycle combination 140 includes, for example, the number of instruments 140a and a collection cycle 140b as record fields.

  The number of measuring instruments 6 arranged in the power grid is stored in the measuring instrument count 140a. The collection period 140b stores a period for collecting information (measurement information) from the measuring instrument 6.

  FIG. 9 shows a table configuration example of the instrument arrangement dependent error 141. The measuring instrument arrangement dependent error 141 is a database for managing the calculation result of the measuring instrument arrangement dependent error calculating unit 18. The measuring instrument arrangement-dependent error 141 includes, for example, the measuring instrument number 141a, the measuring instrument arrangement 141b, and the error 141c as record fields.

  The number of measuring instruments 141a stores the number of measuring instruments 6 arranged in the power grid. In the measuring instrument arrangement 141b, a number for uniquely specifying the utility pole 4 where the measuring instrument 6 is arranged is stored. The error 141c stores an error value when the measuring instrument 6 is arranged as shown in the measuring instrument arrangement 141b.

  FIG. 10 shows a table configuration example of the collection cycle dependent error 142. The collection period dependent error 142 is a database that manages the results calculated by the collection period dependent error calculation unit 19. The collection period dependent error 142 includes, for example, a collection period 142a and an error 142b as record fields.

  The collection period 142a stores a period for collecting information from the measuring instrument 6. The error 142b stores the value of the error when the measurement information is collected from the measuring instrument 6 at the period set in the collection period 142a.

  FIG. 11 shows a table configuration example of the error 143. The error 143 is a database that manages the calculation result of the optimal solution calculation unit 20. The error 143 includes, for example, the number of measuring instruments 143a, the measuring instrument arrangement 143b, the collection period 143c, and the error 143d as record fields.

  The number of measuring instruments 143a stores the number of measuring instruments 6 arranged in the power grid. In the measuring instrument arrangement 143b, a number for uniquely specifying the utility pole 4 in which the measuring instrument 6 is arranged is stored. The collection period 143c stores a period for collecting measurement information of the measuring instrument 6. The error 143d stores a sum of an error value in the case of the arrangement shown in the measuring instrument arrangement 143a and an error value when the information on the measuring instrument is collected in the period of the collection period 143c. An error based on the instrument arrangement is called an arrangement dependent error or an arrangement dependent error, and an error based on the collection period is called a collection period dependent error or an acquisition period dependent error.

  FIG. 12 shows a table configuration example of the measuring instrument condition 144. The measuring instrument condition 144 is a database that manages conditions relating to the measuring instrument 6 such as the data size of the measurement information acquired from the measuring instrument 6 and the lower limit value and upper limit value of the number of measuring instruments when searching for the placement destination. When the user inputs information on measuring instrument conditions from the input device 15 to the power system facility planning support apparatus 1, the information is stored in the measuring instrument conditions 144.

  The measuring instrument condition 144 includes, for example, a data size 144a, a lower limit number 144b, and an upper limit number 144c as record fields. The data size 144a stores the data size of the measurement information acquired from the measuring instrument 6. The lower limit number 144b stores the lower limit value of the number of measuring instruments when searching for the arrangement of measuring instruments. That is, it is necessary to arrange the number of measuring instruments 6 equal to or greater than the value indicated by the lower limit value 144b in the power network. The upper limit number 144c stores an upper limit value of the number of measuring instruments when searching for the arrangement of measuring instruments. That is, it is necessary to arrange the number of measuring instruments 6 equal to or less than the value indicated by the upper limit value 144c in the power network.

  FIG. 13 is an example showing the relationship between the collection period T and the voltage fluctuation range for the time-series voltage values of the power flow calculation results. The horizontal axis of the graph indicates time, and the vertical axis indicates voltage value. In general, the longer the collection period T, the greater the voltage fluctuation range.

  For example, the collection periods T1 and T2 having different lengths from a certain time t0 are considered (T2> T1). In a short collection period T1, the voltage varies by ΔV1t0. In the long collection period T2, the voltage fluctuates by ΔV2t0 (ΔV2t0> ΔV1t0).

  FIG. 14 is a graph of an error (a) depending on the arrangement of measuring instruments and an error (b) depending on the collection period.

  FIG. 14A is a graph showing the relationship between the number of measuring instruments 141a and the error 141c of the measuring instrument arrangement dependent error 141. By displaying this graph on the screen from the output device 14, the relationship between the number of measuring instruments and the error can be shown to the user. As shown in the figure, the error tends to decrease as the number of measuring instruments 6 arranged in the power system (power network) is increased.

  FIG. 14B is a graph showing the relationship between the collection period 142a of the collection period-dependent error 142 and the error 142b. By displaying this graph on the screen from the output device 14, the relationship between the collection period and the error can be shown to the user. As shown in the figure, the error tends to increase as the period for collecting the measurement information from the measuring instrument 6 becomes longer.

  FIG. 15 is a graph showing the relationship between the number of measuring instruments 143a of the measuring instrument arrangement-dependent error 143, the collection period 143c, and the error 143d. By displaying this graph on the screen from the output device 14, the relationship between the number of measuring instruments, the collection period, and the error can be shown to the user.

  By looking at the graph of FIG. 15, the user minimizes the total error (shown as an error (total value) in the figure), which is the sum of the error depending on the instrument arrangement and the error depending on the collection period. The number of measuring instruments and the collection cycle can be easily confirmed.

  FIG. 16 is a flowchart showing the number of measuring instruments / collection cycle combination calculation processing. The number-of-instruments / collection-period combination calculation unit 17 is realized by the CPU 11 executing the number-of-instruments / collection-period combination calculation program 132. Hereinafter, although the operation subject is the combination calculation unit 17, the combination calculation program 132 may be described as the operation subject. The same applies to other embodiments described later.

  When the combination calculation unit 17 receives an instruction to start processing (S1700), the combination calculation unit 17 reads the condition regarding the communication facility from the communication facility condition 138 (S1701), and further reads the condition regarding the measuring instrument from the measuring instrument condition 144 (S1702).

  Based on the communication equipment conditions acquired in step S1701 and the measuring instrument conditions acquired in step S1702, the combination calculator 17 calculates the number of measuring instruments to be arranged on the power grid and the period for collecting the measuring information from the measuring instruments. , Are calculated (S1703).

  The combination calculation unit 17 calculates the value of each collection period when the number of measuring instruments is changed in order from the lower limit number 144b to the upper limit number 144c, for example, from (Equation 1) below.

  Collection cycle = (number of measuring instruments) * (data size) / (communication capacity) (Equation 1)

  For example, the case is calculated where the communication capacity of each power pole number received in step S1701 is 100 bps, and the combination of (data size, lower limit number, upper limit number) received in step S1702 is (500 bits, 1, 5). In this case, the collection cycle = 5 (= 500/100) × (number of measuring instruments). Therefore, the combination of (the number of measuring instruments, the collection cycle) is calculated as (1, 5 s), (2, 10 s), (3, 15 s), (4, 20 s), (5, 25 s).

  The combination calculator 17 writes the combination of the number of measuring instruments and the collection period calculated in step S1703 in the number of measuring instruments / collection period combination 140 and stores it (S1704).

  The combination calculation unit 17 transmits to the measuring instrument arrangement dependent error calculation unit 18 and the collection period dependent error calculation unit 19 that this processing is completed (S1705).

  FIG. 17 is a flowchart showing a measuring instrument arrangement dependent error calculation process. The measuring instrument arrangement dependent error calculation unit 18 is realized by the CPU 11 executing the measuring instrument arrangement dependent error calculation program 133.

  The measuring instrument arrangement dependent error calculation unit 18 starts the measuring instrument arrangement dependent error calculation process in response to receiving processing completion from the power flow calculating unit 16 and the measuring instrument number / collection period combination calculating unit 17 ( S1800).

  The measuring instrument arrangement dependent error calculation unit 18 reads the power network configuration information from the power network configuration 136 (S1801), and further reads the list of measuring instruments from the number of measuring instruments / collection period combination 140 (S1802).

  The measuring instrument arrangement-dependent error calculation unit 18 pays attention to the number of measuring instruments from the measuring instrument numbers listed in the measuring instrument count list read in step S1802. The number of measuring instruments to be focused on first is the lower limit (or upper limit). The number of measuring instruments of interest as a processing target can be referred to as the number of target measuring instruments.

  The measuring instrument arrangement dependent error calculation unit 18 creates all combinations in which the measuring instruments for the number of measuring instruments focused in step S1803 are arranged on the power network (S1804). For example, when there are n power poles 4 on the power grid and the number of measuring instruments focused in step S1803 is a, the measuring instrument arrangement dependent error calculation unit 18 creates nCa combinations.

  The instrument arrangement-dependent error calculation unit 18 uses the tidal current calculation result read from the tidal current calculation result 139 to calculate an error for each combination of the instrument arrangements created in step S1804, and the error is minimized. Is determined (S1805).

  For example, if a method as shown in Patent Document 4 is used, the error can be calculated. That is, the amount of electricity at a location where the measuring instrument 6 is not arranged is estimated, and the difference between the estimated value and the voltage value of the power flow calculation result 139 at that location is calculated.

  The measuring instrument arrangement dependent error calculation unit 18 writes and stores the measuring instrument arrangement location and error determined in step S1805 together with the number of measuring instruments in the measuring instrument arrangement dependent error 141 (S1806).

  The measuring instrument arrangement dependent error calculation unit 18 determines whether or not this processing has been performed for all the measuring instruments to be processed (S1807). When the number of unprocessed measuring instruments remains (S1807: NO), the process returns to step S1803. When the processing has been completed for all the number of measuring instruments (S1807: YES), the measuring instrument arrangement dependent error calculation unit 18 transmits the completion of the processing to the optimal solution calculation unit 20 (S1808).

  FIG. 18 is a flowchart showing the collection cycle-dependent error calculation process. The collection period dependent error calculation unit 19 is realized by the CPU 11 executing the collection period dependent error calculation program 134.

  The collection cycle-dependent error calculation unit 19 starts the collection cycle-dependent error calculation process in response to receiving processing completion from the power flow calculation unit 16 and the number of measuring instruments / collection cycle combination calculation unit 17 (S1900).

  The collection period dependent error calculation unit 19 reads the result of the tidal current calculation from the tidal current calculation result 139 (S1901), and further reads the list of the collection periods from the number of measuring instruments / collection period combination 140 (S1902).

  The collection period dependent error calculation unit 19 pays attention to one collection period from the collection period list read in step S1902 (S1903).

  The collection cycle dependent error calculation unit 19 calculates an error at the collection cycle focused in step S1903 from the voltage value that is the power flow calculation result read in step S1901 (S1904).

  The collection cycle-dependent error calculation unit 19 calculates the following (Equation 2) and (Equation 3) for each utility pole number with respect to the time-series voltage value at each utility pole number read in step S1901, thereby obtaining the collection cycle. The maximum voltage fluctuation width (Max (ΔV)) is calculated. This maximum voltage fluctuation width becomes an error depending on the collection period.

  ΔVt0 = Max (Vt) −Min (Vt) (t = t0 to t0 + T) (Expression 2)

  Max (ΔV) = Max (ΔVt) (t = t1 to t2) (Expression 3)

However,
T: Collection period ΔVt0: Voltage fluctuation range in time from time t0 to t0 + T (see FIG. 13)
Max (Vt): Maximum voltage value in the time from time t0 to t0 + T Min (Vt): Minimum voltage value in the time from time t0 to t0 + T Max (ΔV): Collection period T is the time from time t1 to t2 Maximum voltage fluctuation range at time t1: Start time at time 139a of power flow calculation result 139 t2: End time at time 139b of power flow calculation result 139

  The collection period dependent error calculation unit 19 writes and stores the largest value among the errors in each power pole number calculated in step S1904 in the collection period dependent error 142 together with the collection period (S1905).

  The collection period dependent error calculation unit 19 determines whether or not this process has been performed for all the collection periods described in the collection period list read in step S1902 (S1906). If it is implemented, the process moves to step S1907 (S1906: YES), and if there is a collection period that is not implemented, the process moves to step S1903 (S1906: NO).

  Finally, the collection period-dependent error calculation unit 19 transmits to the optimum solution calculation unit 20 that the process has been completed (S1907).

  FIG. 19 is a flowchart showing the optimal solution calculation process. The optimal solution calculation unit 20 is realized by the CPU 11 executing the optimal solution calculation program 135.

  The optimal solution calculation unit 20 starts the optimal solution calculation processing when receiving the completion of processing from the measuring instrument arrangement dependent error calculation unit 18 and the collection period dependent error calculation unit 19 (S2000).

  The optimal solution calculation unit 20 reads the combination of the number of measuring instruments and the collection period from the number of measuring instruments / collection period combination 140 (S2001). The optimal solution calculation unit 20 reads the combination of the number of measuring instruments, the measuring instrument arrangement, and the error from the measuring instrument arrangement dependent error 141 (S2002). Furthermore, the optimal solution calculation unit 20 reads the combination of the collection period and the error from the collection period dependent error 142 (S2003).

  The optimum solution calculation unit 20 performs measurement based on the combination of the number of measuring instruments and the collection cycle (S2001), the combination of the number of measuring instruments, the arrangement of the measuring instruments and the error (S2002), and the combination of the collection period and the error (S2003). A combination of the number of instruments, the arrangement of the measuring instruments, the collection period, and the error is obtained, and the combination is written in the error 143 and stored (S2004).

  In step S2004, the optimal solution calculation unit 20 uses the combination of the number of measuring instruments read in step S2001 and the collection period as a key, and the combination of the number of measuring instruments read in step S2002, the measuring instrument arrangement, and the error in step S2003. Combined collection periods and error combinations. At this time, the error depending on the arrangement of the measuring instruments and the error depending on the collection period are added together to obtain a total error.

  For example, consider a case where the combination of (number of measuring instruments, collection period) received by the optimal solution calculation unit 20 in step S2001 is (1, 5 s). In this case, the optimal solution calculation unit 20 receives the record (the combination of the number of measuring instruments, the measuring instrument arrangement, and the error) received in step S2002 (1, # 1, 100V) and the record received in step S2003 (collection period, The total error is obtained from the record having the combination of (error) (5s, 5V). As a result, the total error value is 105V.

  The optimal solution calculation unit 20 determines the instrument arrangement and collection period when the total error is minimized from the relationship between the number of instruments, the instrument arrangement, the collection period, and the error (total error) calculated in step S2004. (S2005). And the optimal solution calculation part 20 complete | finishes this process (S2006). The measurement device arrangement and the collection cycle that minimize the total error, which are the calculation results of the optimum solution calculation unit 20, are provided to the user via the output device 14.

  FIG. 20 is an example of a screen provided to the user by the power system facility plan support apparatus 1. The screen G1 that supports the plan creation includes, for example, a collection cycle display part GP11, a measuring instrument arrangement display part GP12, and a menu GP13.

  The collection period display unit GP11 displays the value of the collection period that minimizes the total error. The instrument arrangement display unit GP12 displays the arrangement of the instrument 6 that minimizes the total error. The selected utility pole 4 is displayed in association with an arrangement location display GP 121 for informing the user that the measurement device 6 has been recommended as an arrangement location. The screen G1 in FIG. 20 shows that the total error can be minimized by placing the measuring instrument 6 on the utility pole 4 identified by the utility pole number # 1 and setting the collection period to T.

  The menu GP13 displays a menu that can be selected by the user. For example, various menus such as “save”, “print”, “mail”, and “obtain approval from superior” can be set as necessary.

  According to this embodiment configured as described above, the following effects can be obtained. In this example, taking into account both the error that changes according to the arrangement of the measuring instruments and the error that changes according to the length of the acquisition period, the instrument arrangement and the acquisition period that minimize the total value of each error are determined. Decide and suggest to the user. Therefore, the user can create an equipment plan for the power system with reference to the contents of the proposal, and the efficiency of the plan creation work is improved. As a result of facilitating the creation of equipment plans, the workability of power system operation management can be improved.

  In the present embodiment, since it is possible to propose an appropriate arrangement of measuring instruments, the possibility of arranging more measuring instruments 6 than necessary can be reduced. Therefore, it can suppress that the introduction cost of the measuring instrument 6 increases uselessly.

  In this embodiment, since it is possible to determine an appropriate arrangement and collection cycle of measuring instruments and propose to the user, a measuring instrument 6 that can communicate with the electric power system is arranged to collect an electric quantity at a predetermined period. It is possible to efficiently design a system that estimates and interpolates the amount of electricity at a location that is not.

  In the present embodiment, since the total error can be reduced, the stability of the electrical state of the power system can be maintained, and high-quality power can be supplied. Furthermore, since the total error can be reduced, the operation frequency of the control device for maintaining the state of the power system can be reduced. By reducing the operation frequency of the control device, the life of the control device can be extended and the operation management cost of the power system can be reduced.

  A second embodiment will be described with reference to FIGS. Each of the following embodiments, including the present embodiment, corresponds to a modification of the first embodiment described above, and will be described with a focus on differences from the first embodiment.

  The power system facility plan support apparatus 1 according to the first embodiment determines the measuring instrument arrangement and the collection period under the condition that the existing measuring instrument 6 does not exist. On the other hand, the power system facility plan support apparatus 1A of the present embodiment shown in the overall system diagram of FIG. 21 is a newly added measuring instrument 6 (2) under the condition that the existing measuring instrument 6 (1) exists. ) And the collection cycle.

  In FIG. 21, the measuring instrument 6 (1) is already provided on the utility pole 4. In the present embodiment, information used to determine the location of the newly added measuring instrument 6 (2) and the collection period is created and provided to the user. The planning support apparatus 1A of the present embodiment is mainly different from the planning support apparatus 1 of the first embodiment in the number of measuring instrument / collection cycle combination calculation unit 17A and the measuring instrument arrangement dependent error calculation unit 18A. .

  FIG. 22 shows a table configuration example of the measuring instrument condition 144A in the present embodiment. The measuring instrument condition 144A is a database that manages not only the new measuring instrument 6 but also the existing measuring instrument 6. When the user inputs information on measuring instrument conditions from the input device 15 to the power system facility planning support apparatus 1, the information is stored in the measuring instrument conditions 144A.

  The measuring instrument condition 144A includes an already designed measuring instrument 144Ad as a record field in addition to the data size 144Aa, the lower limit number 144Ab, and the upper limit number 144Ac described in the measuring instrument condition 144 of the first embodiment. In the already-designed measuring instrument 144Ad, a number for uniquely identifying the utility pole 4 in which the existing measuring instrument 6 is installed is stored.

  FIG. 23 is a flowchart showing the number-of-instruments / collection-period combination calculation process in the present embodiment. In this process, a combination of the number of measuring instruments to be additionally arranged and the collection cycle is calculated. Steps S1700 and S1701 in this process are the same as the steps with the same reference numerals shown in FIG.

  Following step S1701, the combination calculation unit 17A of the present embodiment reads the conditions of the measuring instrument from the measuring instrument condition 144A (S1702A). The combination calculation unit 17A uses the communication equipment condition acquired in step S1701 and the measuring instrument condition acquired in step S1702A to calculate the number of measuring instruments to be arranged on the power grid and the period for collecting measuring instrument information. The combination is calculated (S1703A).

  The combination calculation unit 17A calculates the value of the collection period when the number of measuring instruments is changed in order from the lower limit number 144b received in step S1702A to the upper limit number 144c, for example, from the following (formula 4).

  Collection cycle = ((number of measuring instruments) * (data size) / (communication capacity)) + ((number of already designed instruments) * (data size) / (communication capacity)) (Equation 4)

  For example, the communication capacity of each power pole number received in step S1701 is 100 bps, and the combination of (data size, lower limit number, upper limit number, already designed instrument) received in step S1702A is (500 bits 1, 5, # 20, Consider the case of # 30). In this case, since collection cycle = 5 * (number of measuring instruments) +10, combinations of (number of measuring instruments to be added, collection cycle) are (1, 15 s), (2, 20 s), (3, 25 s), Calculated as (4, 30 s), (5, 35 s).

  Steps S1704 and S1705 are the same as the steps with the same reference numerals shown in FIG.

  FIG. 24 is a flowchart showing a measuring instrument arrangement dependent error calculation process. In this process, an error that varies depending on the arrangement of a newly added measuring instrument is calculated. Of these processes, the processes in steps S1800 to S1801 are the same as the steps with the same reference numerals shown in FIG.

  The measuring instrument arrangement dependent error calculation unit 18A reads the list of measuring instruments to be added from the measuring instrument count / collection cycle combination 140 and reads the list of existing measuring instruments from the measuring instrument condition 144A (S1802A). Step S1803 is the same as the step with the same reference numeral shown in FIG.

  The measuring instrument arrangement-dependent error calculation unit 18A creates a combination that arranges the number of measuring instruments focused in step S1803 on the power grid (S1804A).

  For example, when there are m power poles on which no measuring instrument is arranged on the power grid, and the number of measuring instruments noticed in step S1803 is a, the measuring instrument arrangement-dependent error calculation unit 18A selects mCa combinations. create.

  The measuring instrument arrangement-dependent error calculation unit 18A calculates an error for each arrangement combination created in step S1804A using the tidal current calculation result read from the tidal current calculation result 139, and determines an arrangement that minimizes the error. (S1805A). The measurement instrument arrangement dependent error calculation unit 18A calculates an error when an additional measurement instrument is arranged according to the combination created in step S1804A under the condition that an existing measurement instrument exists. Steps S1806 to S1808 are the same as the steps with the same reference numerals shown in FIG.

  Configuring this embodiment like this also achieves the same operational effects as the first embodiment. Furthermore, in the present embodiment, when several measuring instruments 6 are already provided, the location and collection cycle of a new measuring instrument 6 can be determined and provided to the user. Therefore, in this embodiment, it is possible to follow a change in the configuration of the electric power system, and it is possible to cope with the progress of so-called smart cities, and the usability is improved.

  A third embodiment will be described with reference to FIGS. The power system facility plan support apparatus 1 of the first embodiment determines the arrangement and collection period of measuring instruments using communication facility conditions such as a communicable area and a communication capacity as input conditions. On the other hand, the power system facility plan support apparatus 1B according to the present embodiment determines the arrangement and collection period of the measuring instruments and the conditions required for the communication facility and provides them to the user under the condition where the communication facility is not limited. To do. That is, this embodiment is used when not only the measuring instrument 6 but also communication equipment is newly installed.

  FIG. 25 is an explanatory diagram showing the entire system including the power system facility plan support apparatus 1B. The plan support apparatus 1B includes a power flow calculation unit 16, a measuring instrument arrangement-dependent error calculation unit 18B, a collection period-dependent error calculation unit 19B, and an optimal solution calculation unit 20B. The plan support apparatus 1B of the present embodiment does not have the measuring instrument number / collection cycle combination calculation unit 17 as compared with the plan support apparatus 1 of the first embodiment.

  The measuring instrument arrangement-dependent error calculation unit 18B calculates the number of measuring instruments from the lower limit number to the upper limit number set in the measuring instrument condition based on the result calculated by the power flow calculating unit 16 and the input measuring instrument condition. Calculate the error. The processing performed by the instrument arrangement dependent error calculation unit 18B will be described later with reference to FIG.

  The collection cycle dependent error calculation unit 19B calculates an error for each collection cycle from the lower limit cycle to the upper limit cycle set in the measurement instrument condition based on the calculation result of the power flow calculation unit 16 and the measurement instrument condition. The processing performed by the collection cycle dependent error calculation unit 19B will be described later with reference to FIG.

  The optimal solution calculation unit 20B graphs the relationship among the error, the number of measuring instruments, and the collection period based on the calculation result of the measuring instrument arrangement dependent error calculation unit 18B and the calculation result of the collection period dependent error calculation unit 19B. indicate. Thereby, the optimal solution calculation unit 20B assists the user in determining the communication facility installation (for example, determining the communication capacity). Examples of screens provided to the user will be described later with reference to FIGS. 32, 33, and 34. The process performed by the optimal solution calculation unit 20B will be described later with reference to FIG.

  FIG. 26 illustrates a hardware configuration example of the power system facility plan support apparatus 1B. The storage device 13 stores, for example, a power flow calculation program 131, a measuring instrument arrangement-dependent error calculation program 133B, a collection period-dependent error calculation program 134B, and an optimal solution calculation program 135B as programs. Compared to the first embodiment, the plan support apparatus 1B of the present embodiment does not have the measuring instrument number / collection cycle combination calculation program 132.

  The storage device 13 includes, as data, for example, a power network configuration 136, a load / power generation amount 137, a power flow calculation result 139, a measuring instrument arrangement dependent error 141, a collection period dependent error 142, a measuring instrument condition 144B, and a communication capacity. Condition 145 is stored. Compared to the first embodiment, the planning support apparatus 1B of the present embodiment does not have the communication equipment condition 138, the number of measuring instruments / collection cycle combination 140, and the error 143. Instead, the planning support apparatus 1B of the present embodiment has a communication capacity condition 145 as compared with the planning support apparatus 1 of the first embodiment.

  The power system facility plan support apparatus 1B of the present embodiment is based on the premise that there is no communication facility that can be used to collect measurement information from the measuring instrument 6, and therefore has a configuration that assumes the presence of the communication facility. Not.

FIG. 27 shows a table configuration example of the measuring instrument condition 144B in the present embodiment.
The measuring instrument condition 144B manages the lower limit value and the upper limit value of the collection period in addition to the data size 144Ba, the lower limit number 144Bb, and the upper limit number 144Bc described in the measuring instrument condition 144 of the first embodiment. When the user inputs information on measuring instrument conditions from the input device 15 to the power system facility planning support apparatus 1B, the information is stored in the measuring instrument conditions 144B.

  As illustrated, the measuring instrument condition 144B newly includes a lower limit period 144Bd and an upper limit period 144Be as record fields. The lower limit period 144Bd stores a lower limit value of the period used to calculate an error that varies depending on the collection period. In the upper limit period 144Be, an upper limit value of a period used for calculating an error that varies depending on the collection period is stored.

  FIG. 28 shows a table configuration example of the communication capacity condition 145 in the present embodiment. The communication capacity condition 145 manages the lower limit value and the upper limit value of the communication capacity used to determine the communication capacity. When the user inputs information on the communication capacity condition from the input device 15 to the power system facility plan support apparatus 1B, the information is stored in the communication capacity condition 145.

  The measuring instrument condition 145 includes a lower limit capacity 145a and an upper limit capacity 145b as record fields. The lower limit capacity 145a stores the lower limit value of the communication capacity. The upper limit capacity 145b stores the upper limit value of the communication capacity.

  FIG. 29 is a flowchart showing a measuring instrument arrangement dependent error calculation process. Steps S1800 and S1801 in this process are the same as the steps with the same reference numerals shown in FIG.

  The measuring instrument arrangement dependent error calculation unit 18B reads the lower limit and the upper limit value of the number of measuring instruments from the measuring instrument condition 144B (S1802B). Steps S1803 to S1808 are the same as the steps with the same reference numerals shown in FIG.

  FIG. 30 is a flowchart showing the collection cycle-dependent error calculation process. Of these processes, steps S1900 to S1901 are the same as the steps with the same reference numerals shown in FIG.

  The collection period dependent error calculation unit 19B reads the lower limit and the upper limit value of the collection period from the measuring instrument condition 144B (S1902B). Steps S1903 to S1907 are the same as the steps with the same reference numerals shown in FIG.

  FIG. 31 is a flowchart showing an optimal solution calculation process. Steps S2000 to S2003 are the same as the steps with the same reference numerals shown in FIG. In this process, steps S2004Ba, S2004Bb, and S2004Bc described below are executed instead of step S2004 shown in FIG. Further, this process does not include step S2005 shown in FIG.

  The optimal solution calculation unit 20B determines the relationship between the error, the number of measuring instruments, and the collection cycle based on the combination of the number of measuring instruments read in step S2001 and the collection cycle, and the combination of the measuring instrument read in step S2002 and the error. Is graphed and displayed on the screen (S2004Ba). Examples of screens are shown in FIGS. 32 and 33. FIG.

  FIG. 32 is a graph showing the relationship between the error (voltage error), the number of measuring instruments, and the collection period. The relationship between the number of measuring instruments and the error is indicated by a thick dotted line. The error decreases as the number of instruments increases. The relationship between the collection period and the error is indicated by a thick solid line. The longer the collection period, the greater the error.

  FIG. 33 is a graph of the relationship shown in FIG. 32 when the number of measuring instruments and the collection period are taken on a two-dimensional plane. In FIG. 33, as in a so-called heat map, the magnitude of error is divided into a plurality of ranks and displayed with different densities for each rank.

  In FIG. 33, for example, a voltage error of 10 to 50V is rank 1 (10 ≦ rank 1 <50), 50 to 100V is rank 2 (50 ≦ rank 2 <100), and 100 to 150V is rank 3 (100 ≦ rank). 3 <150) and 150 to 200V are divided into rank 4 (150 ≦ rank 4 <200). Not limited to this, the total error may be divided into five or more ranks, or may be divided into three or less ranks.

  Returning to FIG. The optimal solution calculation unit 18B reads the data size 144Ba from the measuring instrument condition 144B, and creates a relational expression of the collection period, the number of measuring instruments, and the communication capacity as shown in the following (Formula 5) (S2004Bb).

  Collection cycle = (number of measuring instruments) * (data size) / (communication capacity) (Equation 5)

  The optimal solution calculation unit 20B reads the lower limit capacity 145a and the upper limit capacity 145b from the communication capacity condition 145, and substitutes these values into the relational expression (formula 5) created in step S2004Bb to obtain a straight line group. As shown in FIG. 34, the optimal solution calculation unit 20B displays the straight line group on FIG. 33 displayed in step S200Ba (S2004Bc).

  Refer to FIG. A case where the communication cycle is the upper limit value is indicated by a straight line, and a case where the communication cycle is the lower limit value is indicated by a virtual line. FIG. 34 shows that the total voltage error increases when the communication cycle is lengthened, and the total voltage error decreases when the communication cycle is shortened. FIG. 34 shows only two lines, a straight line calculated with the communication cycle set to the upper limit value and a straight line calculated with the communication cycle set to the lower limit value, but exists between the upper limit value and the lower limit value. It is also possible to display a straight line when another communication cycle is set.

  Returning to FIG. The user can easily grasp the relationship between the error and the communication period from the result displayed on the screen in step S2004Bc, and can determine the communication capacity of the communication facility based on the relationship. Then, the optimal solution calculation unit 20B ends the process in step S2006.

  When the user determines the communication capacity, the collection period and the arrangement of the measuring instruments can be determined as described in the optimum solution calculation process of the first embodiment. When the arrangement of the measuring instruments is determined, the user can determine an area that requires communication. Communication equipment conditions are determined as described above.

  Configuring this embodiment like this also achieves the same operational effects as the first embodiment. Furthermore, in the present embodiment, even when there is no restriction on communication facilities, the arrangement and collection period of measuring instruments can be determined and provided to the user.

  A fourth embodiment will be described with reference to FIGS. The power system facility plan support apparatus 1 of the first embodiment determines the arrangement and collection period of measuring instruments that minimize the error (total error) while there are restrictions on communication facilities. On the other hand, the power system facility plan support apparatus 1C of the present embodiment has a total cost (the sum of the introduction cost and the operation cost) for realizing a power system that can stably supply power in a limited communication facility. ) To determine the instrument location and collection cycle.

  Reference is first made to FIG. FIG. 38 shows the relationship between cost and error. As shown in FIG. 38, when the power system equipment is designed so that the error becomes large, the number of measuring instruments can be reduced, so that the measuring instrument cost indicated by the dotted line is reduced.

  Reference is now made to FIG. FIG. 40 is a characteristic diagram showing the relationship between the voltage error and the specified voltage value. The vertical axis represents the voltage value, and the horizontal axis represents the distance. The longer the distance away from the reference position, the lower the voltage due to line resistance and line impedance. The operation manager of the power management system 7 maintains the voltage at each point within the specified range so that it falls within the preset upper limit value and lower limit value.

  40A shows a case where the voltage error (total error) is large, and FIG. 40B shows a case where the voltage error (total error) is small. As shown in FIG. 40A, in the case of an electric power system that allows a large voltage error, the possibility that the voltage value at each point deviates from the specified range increases. In order to keep the deviated voltage value within the specified range, it is necessary to operate a control device such as a voltage regulator. As the number of operations of the control device increases, the life of the control device decreases, and the cost related to the control device increases.

  On the other hand, as shown in FIG. 40 (b), in the case of an electric power system that suppresses a voltage error, it is necessary to increase the number of measuring instruments arranged in the electric power system, but the voltage value at each point falls within a specified range. The possibility of departure is reduced. Accordingly, the number of operations of the control device is reduced and the life of the control device is extended, so that the cost of the control device is reduced. On the other hand, since the number of measuring instruments increases, the cost of measuring instruments increases.

  Therefore, the power system facility plan support apparatus 1C according to the present embodiment creates the relationship shown in FIG. 38, determines an error that minimizes the total cost, and determines the arrangement and collection period of measuring instruments for realizing the error. To do.

  FIG. 35 is an example of the hardware configuration of the power system facility plan support apparatus 1C in the present embodiment.

  The storage device 13 includes, for example, a tidal current calculation program 131, a measuring instrument number / collection period combination calculation program 132, a measuring instrument arrangement dependent error calculation program 133, a collection period dependent error calculation program 134, and an optimal solution calculation program. 135C is stored.

  The storage device 13 includes, as data, for example, a power network configuration 136, a load / power generation amount 137, a communication facility condition 138, a power flow calculation result 139, a measuring instrument number / collection cycle combination 140, a measuring instrument arrangement dependent error 141, and the like. , Collection period dependent error 142, error 143, measuring instrument condition 144, product-specific cost 146, and cost evaluation 147 are stored.

  FIG. 36 shows a table configuration example of the product-specific cost 146. The product-specific cost 146 is a database for managing the introduction cost and the operation cost for each measuring instrument and control device. When the user inputs information on the cost for each product from the input device 15 to the power system facility planning support device 1C, the information is stored in the cost 146 for each product.

  The product-specific cost 146 includes, as record fields, for example, a product name 146a, an introduction cost 146b, and an operation cost 146c. The product name 146a stores a name that uniquely identifies the product. The introduction cost 146b stores the introduction cost per product specified by the product name 146a. The operation cost 146c stores the operation cost per product specified by the product name 146a.

  FIG. 37 shows a table configuration example of the cost evaluation 147. The cost evaluation 147 is a database that manages the relationship among the error, the measuring instrument cost, the control device cost, and the total cost, calculated by the optimal solution calculation unit 20C.

  The cost evaluation 147 includes, for example, an error 147a, a measuring instrument cost 147b, a control device cost 147c, and a total cost 147d as record fields.

  The error 147a stores a total value (total error) of an error that varies depending on the arrangement of the measuring instrument and an error that varies depending on the collection period. The measuring instrument cost 147b stores the cost related to the measuring instrument derived from the measuring instrument arrangement for realizing the value stored in the error 147a. The control device cost 147c stores the cost related to the control device when the value stored in the error 147a is realized. The total cost 147d stores the total value of the measuring instrument cost 147b and the control device cost 147c.

  FIG. 38 is a graph showing the relationship between the measuring instrument cost 147b indicated by the dotted line, the control device cost 147c indicated by the alternate long and short dash line, and the total cost 147d indicated by the thick solid line as described above. By displaying this graph on the screen from the output device 14, the relationship between the error and the cost can be presented to the user.

  FIG. 39 is a flowchart showing an optimal solution calculation process. Steps S2000 to S2004 are the same as the steps with the same reference numerals shown in FIG.

  The optimal solution calculation unit 20C calculates the measuring instrument cost for each error from the relationship between the number of measuring instruments and the error calculated in step S2004 based on the cost information of each measuring instrument acquired from the product-specific cost 146. (S2005Ca).

  For example, the introduction cost and the operation cost are calculated by the following calculation and added up. The introduction cost is calculated by multiplying the number of measuring instruments calculated in step S2004 by the value of the introduction cost 146b per unit. The operation cost is calculated by multiplying the number of measuring instruments by the value of the operation cost 146c per unit.

  The optimal solution calculation unit 20C calculates the control device cost for each error based on the cost information of the control device per unit acquired from the product-specific cost 146 (S2005Cb). For example, the introduction cost and the operation cost are calculated by the following calculation and added up.

  The introduction cost is calculated by multiplying the number of control devices arranged in the power network by the value of the introduction cost 146b per unit. The number of control devices is calculated using, for example, a method as shown in Patent Document 3.

  As shown in FIG. 41, the operation cost is calculated based on the number of control devices and the operation cost 146c per unit when the total value obtained by adding an error to the voltage value of the power flow calculation result 139 deviates from the preset specified range. It is calculated by multiplying with the value of.

  Here, FIG. 41 will be described. FIG. 41 shows a case where the power flow calculation result 139 (solid line in the figure), a half value of the error is added to the power flow calculation result 139 (dotted line), and a half of the error from the power flow calculation result at a certain point in the power system. The comparison with the case of subtracting the value of (virtual line) is shown. It can be predicted that the voltage value at a certain point fluctuates in the range of the dotted line and the two-dot chain line shown in FIG. When the voltage fluctuation range exceeds the specified range, the control device is activated.

  Returning to FIG. The optimal solution calculation unit 20C writes the sum of the measuring instrument cost for each error calculated in step S2005Ca and the control device cost for each error calculated in step S2005Cb in the cost evaluation 147 and stores it (S2005Cc).

  The optimal solution calculation unit 20C determines an error when the total cost is minimum from the relationship between the error and the total cost calculated in step S2005Cc (S2005Cd). The optimal solution calculation unit 20C searches for and acquires the instrument arrangement and collection period from the relationship between the number of measuring instruments, the instrument arrangement, the collection period, and the error calculated in step S2004, using the error determined in step S2005Cd as a key. (S2005Ce).

  Steps S2005 to S2006 are the same as the steps with the same reference numerals shown in FIG.

  According to this embodiment configured as described above, it is possible to determine and present to the user the measuring instrument arrangement and the collection period that minimize the total cost of the power system. Therefore, the power system can be managed and managed at low cost.

  The fifth embodiment will be described with reference to FIG. In this embodiment, the power system facility plan support apparatus 1 and the user terminal 10 are connected via the communication network CN4. The user terminal 10 includes, for example, a CPU 101, a memory 102, an output device 103, an input device 104, and a communication interface 105.

  For example, the user accesses the power system facility planning support apparatus 1 using the user terminal 10 installed in the company. As a result, the user can input and register various types of information such as power network configuration, load / power generation amount data, communication facility conditions, and instrument conditions to the power system facility plan support apparatus 1. In addition, the user can obtain information related to appropriate measuring device arrangement and collection period from the power system facility plan support apparatus 1.

  According to this embodiment configured as described above, the power system facility plan support device 1 on the communication network CN4 can be used by a plurality of user terminals 10 at remote locations.

  A sixth embodiment will be described with reference to FIG. The planning support apparatus 1 according to the first embodiment creates information for supporting the user's judgment based on the data prepared by the user (power network configuration 136, load / power generation amount 137). On the other hand, in this embodiment, at least the load / power generation amount 137 is acquired from the actually operating power management system 7 and used.

  The power system facility plan support apparatus 1D of the present embodiment is connected to the power management system 7 via the communication network CN3. The power system facility plan support apparatus 1D acquires the load / power generation amount 137 in the power system under the management of the power management system 7 from the power management system 7 via the communication network CN3.

  The power system facility plan support apparatus 1D may acquire the power network configuration 136 from the power management system 7, or may acquire the power network configuration 136 by another means.

  According to the present embodiment configured as described above, it is possible to determine the arrangement and collection period of measuring instruments based on actual load / power generation amount data. Therefore, the proposal information according to the latest situation of the power system can be provided to the user, and the usability is improved.

  A seventh embodiment will be described with reference to FIGS. In the first embodiment, the case has been described in which an optimal solution is obtained in which the total value of the error depending on the instrument arrangement and the error depending on the collection period is minimized. Instead, in this embodiment, the error depending on the measuring instrument arrangement is equal to or less than a predetermined error target value (first error target value), and the error depending on the collection period is another predetermined error target value (first error target value). (2 error target value) or less, an optimal solution is detected and provided to the user.

  As shown in FIG. 44, two error target values are input from the user to the optimum solution calculator 20E of the power system facility plan support apparatus 1E of the present embodiment. One error target value is a target value for an error that depends on the measuring instrument arrangement, and the other error target value is a target value for an error that depends on the collection period. When the user inputs information about each error target value from the input device 15 to the power system facility planning support device 1E, the information is stored in the error target value 148.

  As shown in FIG. 45, the storage unit 13 of the plan support apparatus 1E stores an error target value 148 for managing each error target value. As shown in FIG. 46, the error target value 148 includes an arrangement-dependent error target value 148a that is an error target value that depends on the arrangement of the measuring instrument, and a collection period-dependent error target that is an error target value that depends on the collection period. The value 148b is managed.

  FIG. 47 is an explanatory diagram showing the relationship between the number of measuring instruments, the collection period, the voltage error, and the optimum solution that simultaneously satisfies the two error target values. In FIG. 47, a solid line indicates a voltage error depending on the arrangement of measuring instruments, and a one-dot chain line indicates a voltage error depending on the collection period. In the present embodiment, as described above, the arrangement of the measuring instruments and the collection cycle when the two conditions are satisfied are detected as the optimum solution and proposed to the user. If the two conditions cannot be satisfied at the same time, the planning support device 1E, for example, “No instrument arrangement and collection cycle that meet the specified error target value is found. Change the error target value and try again.” Etc. to the user.

  The first condition is that the voltage error depending on the instrument arrangement is not more than the arrangement dependent error target value 148a. The second condition is that the voltage error depending on the acquisition period is equal to or less than the acquisition period dependent error target value 148b. A range that simultaneously satisfies these two conditions is extracted as an optimal solution as shown in FIG.

  FIG. 48 is a table 143E for managing errors. In the illustrated example, the number of measuring instruments 143Ea is “3”, the arrangement 143Eb is “# 1, # 100, # 50”, the collection period 143Ec is “15”, the arrangement-dependent error 143Ed is “65V”, and the collection period-dependent error. Is detected as the optimal solution.

  FIG. 49 is a flowchart showing an optimal solution calculation process. Steps S2000 to S2003 and S2006 are the same as the steps with the same reference numerals shown in FIG. In this process, step S2004E described below is executed instead of step S2004 shown in FIG. 19, and step S2005E described below is executed instead of step S2005 shown in FIG.

  The optimal solution calculation unit 20E is based on the combination of the number of measuring instruments read in step S2001 and the collection period, the combination of the measuring instrument number read in step S2002 and the error, and the combination of the collection period and error read in step 2003. Then, the relationship between the error, the number of measuring instruments, and the collection period is graphed and displayed on the screen (S2004E).

  The optimal solution calculation unit 20E sets a range in which an error depending on the arrangement of the measuring instrument is an arrangement dependent error target value 148a or less and an error depending on the collection period is an acquisition period dependent error target value 148b or less as an optimum solution. The number of measuring instruments to be detected and the optimal solution and the collection cycle are presented to the user (S2005E).

  Configuring this embodiment like this also achieves the same operational effects as the first embodiment. Furthermore, in the present embodiment, an optimum solution is obtained in which the error depending on the arrangement of the measuring instrument is not more than the arrangement dependent error target value 148a and the error depending on the collection period is not more than the collection period dependent error target value 148b. it can. Thereby, the user can select the combination of the measurement device arrangement and the collection cycle that can satisfy the conditions for two different types of errors at the same time, and can create a highly accurate equipment plan.

  In addition, this invention is not limited to embodiment mentioned above. A person skilled in the art can make various additions and changes within the scope of the present invention.

  For example, in each of the embodiments, the case where the voltage error is calculated using the voltage value of the power flow calculation result has been described. Instead, another electric quantity (current, active power, reactive power) of the power flow calculation result is described. May be used to calculate the error, and the measurement device arrangement and collection period may be determined based on the error.

  1, 1A, 1B, 1C, 1D, 1E: Power system facility planning support device, 3: Track, 4: Utility pole, 5: Consumer, 6: Measuring instrument, 7: Power management system

Claims (14)

A power system facility planning support device that supports creation of a facility plan related to a power system,
A power flow calculation unit for calculating an electrical state of a predetermined point of the power system;
A first error calculation unit that calculates an error of an electrical state depending on an arrangement of a measuring instrument for measuring an electrical state of the power system as a first error;
A second error calculation unit that calculates an error of an electrical state depending on a collection period for collecting the electrical state from the measuring instrument as a second error;
Based on the first error and the second error, a proposal information output unit that outputs proposal information for assisting the determination of the arrangement of the measuring instruments and the collection period;
A power system facility planning support apparatus having
The power flow calculation unit calculates the electrical state of a predetermined point of the power system based on the configuration of the power system and the amount of electric load and power generated in the power system,
The first error calculation unit estimates the electrical state of the predetermined point based on the electrical state of the predetermined point calculated by the power flow calculation unit and the arrangement of the measuring instrument, and the estimated electrical state and the The difference from the electrical state of the predetermined point calculated by the power flow calculation unit is calculated as the first error,
The second error calculation unit calculates, as the second error, a variation amount of the electrical state at the predetermined point calculated by the power flow calculation unit when the collection period is changed.
The power system facility plan support apparatus according to claim 1.
The proposal information output unit outputs the proposal information including the arrangement of the measuring instruments and the collection period that minimize the total error of the first error and the second error.
The power system facility plan support apparatus according to claim 2.
The number of measuring devices based on the communication equipment conditions preset for the communication equipment used to collect the electrical state from the measuring instruments and the measuring instrument conditions preset for the installation of the measuring instruments. And a combination pattern calculation unit for calculating a combination pattern of the collection period and
The first error calculation unit creates an arrangement combination indicating a combination of arrangements at a plurality of installable points on the power system for each number of the measuring devices output from the combination pattern calculation unit, and the arrangement combination Calculating the first error every time, and outputting the minimum value among the calculation results as the first error,
The second error calculation unit calculates a fluctuation amount of the electrical state at the predetermined point for each collection period output from the combination pattern calculation unit, and outputs a maximum value among the calculation results as the second error. ,
The power system facility plan support apparatus according to claim 3.
The measuring instrument condition includes information indicating the number of pre-designed measuring instruments already arranged in the power system,
The combination pattern calculation unit calculates the combination pattern in consideration of the number of the already designed instruments.
The first error calculation unit calculates a first error when a measuring instrument is additionally arranged according to the combination pattern under a condition in which the already designed measuring instrument exists.
The power system facility plan support apparatus according to claim 4.
The first error calculation unit indicates a combination of arrangements at a plurality of installable points on the power system for each number of measuring instruments defined in measuring instrument conditions set in advance with respect to installation of the measuring instruments. Creating an arrangement combination and calculating the first error for each arrangement combination;
The second error calculation unit calculates, as the second error, a fluctuation amount of the electrical state at the predetermined point for each collection cycle further defined in the measuring instrument condition.
The power system facility plan support apparatus according to claim 3.
The proposal information output unit includes:
Obtaining the first error for each number of the measuring instruments calculated by the first error calculator;
Obtaining the second error for each collection period calculated by the second error calculator;
Calculate and output the relationship between the total error of the first error and the second error, the number of measuring instruments and the collection period,
Calculating and outputting the relationship between the communication equipment conditions required by the communication equipment used to collect the electrical state from the measuring instrument, the number of the measuring instruments, and the collection period;
The power system facility plan support apparatus according to claim 6.
The proposal information output unit, based on the first error and the second error, propose information for supporting the determination of the arrangement of the measuring instruments and the collection period that minimizes the total cost of possessing the power system Output,
The power system facility plan support apparatus according to claim 2.
The proposal information output unit includes:
The cost of the measuring instrument installed in the power system and the cost of a control device installed in the power system to control the electrical state of the power system are expressed as the first error and the second error. Calculate for each total error,
Calculate the total error that minimizes the total cost of the instrument and the control device,
The arrangement of the measuring instrument that realizes the total error and the collection period are included in the proposal information and output
The power system facility plan support apparatus according to claim 8.
The proposal information output unit includes an arrangement of the measuring instrument, wherein the first error is equal to or less than a preset first error target value, and the second error is equal to or less than a preset second error target value; The collection period is included in the proposal information and output.
The power system facility plan support apparatus according to claim 2.
A power system facility plan support method for supporting creation of a facility plan for a power system using a computer,
The computer
Using the tidal current calculation unit for tidal current calculation, calculate the electrical state of the predetermined point of the power system,
Using the first error calculation unit, the error of the electrical state depending on the arrangement of the measuring instrument for measuring the electrical state of the power system is calculated as the first error,
Using the second error calculator, the error of the electrical state depending on the collection period for collecting the electrical state from the measuring instrument is calculated as the second error,
Using the proposal information output unit, based on the first error and the second error, output proposal information for assisting the determination of the arrangement of the measuring instruments and the collection period,
Power system facility planning support method.
The power flow calculation unit calculates the electrical state of a predetermined point of the power system based on the configuration of the power system and the amount of electric load and power generated in the power system,
The first error calculation unit estimates the electrical state of the predetermined point based on the electrical state of the predetermined point calculated by the power flow calculation unit and the arrangement of the measuring instrument, and the estimated electrical state and the The difference from the electrical state of the predetermined point calculated by the power flow calculation unit is calculated as the first error,
The second error calculation unit calculates, as the second error, a variation amount of the electrical state at the predetermined point calculated by the power flow calculation unit when the collection period is changed.
The power system facility plan support method according to claim 11.
The proposal information output unit outputs the proposal information including the arrangement of the measuring instruments and the collection period that minimize the total error of the first error and the second error.
The power system facility plan support method according to claim 12.
The number of measuring devices based on the communication equipment conditions preset for the communication equipment used to collect the electrical state from the measuring instruments and the measuring instrument conditions preset for the installation of the measuring instruments. And a combination pattern calculation unit for calculating a combination pattern of the collection period and
The first error calculation unit creates an arrangement combination indicating a combination of arrangements at a plurality of installable points on the power system for each number of the measuring devices output from the combination pattern calculation unit, and the arrangement combination Calculating the first error every time, and outputting the minimum value among the calculation results as the first error,
The second error calculation unit calculates a fluctuation amount of the electrical state at the predetermined point for each collection period output from the combination pattern calculation unit, and outputs a maximum value among the calculation results as the second error. ,
The power system facility plan support method according to claim 13.

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