Harmonic state estimation method, device, equipment and medium based on pseudo-measurement

Abstract

The embodiments of the present invention disclose a harmonic state estimation method, apparatus, device, and medium based on pseudo-measurement, wherein the method comprises: obtaining power quality monitoring data and pseudo-measurement harmonic current data of a bus to be monitored in a target power system; wherein the power quality monitoring data is asynchronously measured data; calculating a target phase difference between different measurement points in the bus to be monitored based on the power quality monitoring data and the pseudo-measurement harmonic current data; and calculating harmonic state quantities between different measurement points in the bus to be monitored based on the target phase difference and a harmonic state estimation model of the target power system. The technical solution of the embodiments of the present invention can improve the accuracy of harmonic state estimation in a power system.

Description

Technical Field

[0001] Embodiments of the present invention relate to the technical field of power systems, and in particular to a harmonic state estimation method, apparatus, device, medium, and program based on pseudo-measurement. Background Art

[0002] With the rapid development of power electronics, harmonic pollution in power systems is becoming increasingly serious. Harmonic pollution has multiple impacts on power systems, including increased equipment losses, performance degradation, and interference with communication systems. Therefore, the control and management of harmonics is a crucial task in power system operation.

[0003] Currently, existing harmonic state estimation methods mainly rely on synchronous measurement data. However, when some monitoring points are unobservable, the observability of the overall harmonic state of the power system will be affected.

[0004] In the process of realizing the present invention, the inventors found that the existing technology has the following defects: in actual engineering, the power quality monitoring data that can be obtained usually do not have synchronization characteristics, and there are unknown measurement time differences between different monitoring points, which makes it difficult to carry out harmonic state estimation. Summary of the Invention

[0005] Embodiments of the present invention provide a pseudo-measurement-based harmonic state estimation method, apparatus, device, medium, and program, which can improve the accuracy of harmonic state estimation in a power system.

[0006] According to one aspect of the present invention, a harmonic state estimation method based on pseudo-measurement is provided, comprising:

[0007] Acquiring power quality monitoring data and pseudo-measured harmonic current data of a bus to be monitored in a target power system; wherein the power quality monitoring data is asynchronously measured data;

[0008] Calculating target phase differences between different measurement points in the bus to be monitored based on the power quality monitoring data and the pseudo-measured harmonic current data;

[0009] The harmonic state quantities between different measurement points in the bus to be monitored are calculated according to the target phase difference and the harmonic state estimation model of the target power system.

[0010] According to another aspect of the present invention, there is provided a harmonic state estimation device based on pseudo-measurement, comprising:

[0011] A harmonic state estimation associated data acquisition module is used to acquire power quality monitoring data and pseudo-measured harmonic current data of a bus to be monitored in a target power system; wherein the power quality monitoring data is asynchronously measured data;

[0012] a target phase difference acquisition module, configured to calculate the target phase difference between different measurement points in the bus to be monitored based on the power quality monitoring data and the pseudo-measured harmonic current data;

[0013] A harmonic state quantity acquisition module is used to calculate the harmonic state quantities between different measurement points in the bus to be monitored according to the target phase difference and the harmonic state estimation model of the target power system.

[0014] According to another aspect of the present invention, an electronic device is provided, comprising:

[0015] at least one processor; and

[0016] a memory communicatively connected to the at least one processor; wherein,

[0017] The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can perform the harmonic state estimation method based on pseudo measurement according to any embodiment of the present invention.

[0018] According to another aspect of the present invention, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the harmonic state estimation method based on pseudo measurement according to any embodiment of the present invention when executed.

[0019] According to another aspect of the present invention, a computer program product is provided, comprising a computer program. When the computer program is executed by a processor, the harmonic state estimation method based on pseudo measurement according to any embodiment of the present invention is implemented.

[0020] The embodiment of the present invention obtains power quality monitoring data and pseudo-measurement harmonic current data of a bus to be monitored in a target power system in an asynchronous measurement state, and further calculates a target phase difference between different measurement points in the bus to be monitored based on the power quality monitoring data and the pseudo-measurement harmonic current data. Thus, the harmonic state quantity between different measurement points in the bus to be monitored can be calculated based on the target phase difference and a harmonic state estimation model of the target power system, thereby solving the problem of low accuracy of the harmonic state estimation method in the existing power system and improving the accuracy of harmonic state estimation in the power system.

[0021] It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present invention, nor is it intended to limit the scope of the present invention. Other features of the present invention will become readily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0023] Figure 1 This is a flowchart of a harmonic state estimation method based on pseudo-measurement provided in Example 1 of the present invention;

[0024] Figure 2 This is a flowchart of a harmonic state estimation method based on pseudo-measurement provided in the second embodiment of the present invention;

[0025] Figure 3 is a schematic diagram of a harmonic state estimation method based on pseudo-measurement provided in the second embodiment of the present invention;

[0026] Figure 4 is a schematic diagram of a harmonic state estimation device based on pseudo-measurement provided in a third embodiment of the present invention;

[0027] Figure 5 This is a structural diagram of an electronic device provided in Example 4 of the present invention. DETAILED DESCRIPTION

[0028] In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the embodiments described are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts should fall within the scope of protection of the present invention.

[0029] It should be noted that the terms "first," "second," and "target" and the like in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or precedence. It should be understood that the numbers used in this way are interchangeable where appropriate so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product, or apparatus that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or that are inherent to these processes, methods, products, or apparatus.

[0030] Example 1

[0031] Figure 1 This is a flowchart of a harmonic state estimation method based on pseudo-measurement provided in the first embodiment of the present invention. This embodiment is applicable to the case where the busbar harmonic state quantity is determined based on the asynchronous measurement data and pseudo-measurement harmonic current data of the measurement point in the power system. The method can be executed by a harmonic state estimation device, which can be implemented by software and / or hardware and can generally be integrated into an electronic device. The electronic device can be a terminal device or a server device. As long as the harmonic state estimation method based on pseudo-measurement can be executed, the embodiment of the present invention does not limit the specific device type of the electronic device. Accordingly, if Figure 1 As shown, the method includes the following operations:

[0032] S110. Acquire power quality monitoring data and pseudo-measurement harmonic current data of a bus to be monitored in a target power system; wherein the power quality monitoring data is asynchronously measured data.

[0033] Among them, the target power system can be a power system that needs to perform harmonic state estimation. The bus to be monitored can be a bus in the target power system whose harmonic state is to be determined. The power quality monitoring data can be data related to the harmonic state estimation of the target power system. Exemplarily, the power quality monitoring data can include but is not limited to original harmonic voltages, original harmonic currents and network parameters, etc. The embodiment of the present invention does not limit the specific data types included in the power quality monitoring data. It should be noted that the power quality monitoring data is obtained through asynchronous measurement. Pseudo-measured harmonic current data can be in the target power system. Due to the limitations or deficiencies of the actual measurement equipment, the true value of certain current data cannot be directly obtained, so the obtained harmonic current data is estimated by modeling based on historical measurement data.

[0034] In an embodiment of the present invention, when it is necessary to estimate the harmonic state quantity of a bus in a power system, the power system can be determined as a target power system, and the bus can be determined as a bus to be monitored. After determining the bus to be monitored in the target power system, a series of power quality monitoring data such as the original harmonic voltage, original harmonic current, and network parameters of the bus to be monitored in the target power system under an asynchronous measurement state, as well as pseudo-measured harmonic current data, can be first obtained to serve as a reference basic data source for the subsequent harmonic state estimation process.

[0035] S120: Calculate target phase differences between different measurement points in the bus to be monitored based on the power quality monitoring data and the pseudo-measured harmonic current data.

[0036] Among them, the target phase difference can be the asynchronous measurement phase difference between different measurement points of the bus to be monitored. Different measurement points can be positions in the bus to be monitored where power quality monitoring data can be directly measured. Exemplarily, different measurement points can include but are not limited to two measurement points such as the first measurement point and the second measurement point on the bus to be monitored. It should be noted that the different measurement points of the bus to be monitored can be any different bus to be monitored in the target power system or different measurement points on the same bus to be monitored, as long as they are bus positions in the target power system where the harmonic state is to be determined. The embodiment of the present invention does not limit the specific types of different measurement points of the bus to be monitored.

[0037] In an embodiment of the present invention, after obtaining the power quality monitoring data and pseudo-measurement harmonic current data of the bus to be monitored in the target power system in an asynchronous measurement state, the target phase difference between different measurement points in the bus to be monitored can be calculated based on the power quality monitoring data and the pseudo-measurement harmonic current data, so that phase synchronization operations can be performed between different measurement points in the bus to be monitored based on the target phase difference.

[0038] S130 . Calculate harmonic state quantities between different measurement points in the bus to be monitored according to the target phase difference and a harmonic state estimation model of the target power system.

[0039] The harmonic state estimation model can be a mathematical model used to analyze and evaluate the harmonic state between different measurement points in a busbar to be monitored in a target power system. The harmonic state quantity can be a set of parameter data that describes and quantifies the harmonic state of the busbar to be monitored in the target power system. For example, the harmonic state quantity may include, but is not limited to, harmonic voltage, harmonic current, and harmonic power. The embodiments of the present invention do not limit the specific data types included in the harmonic state quantity.

[0040] Specifically, after obtaining the power quality monitoring data and pseudo-measurement harmonic current data of the bus to be monitored in the target power system, the target phase difference between different measurement points in the bus to be monitored can be obtained by analysis and processing based on the power quality monitoring data and the pseudo-measurement harmonic current data. The target phase difference can be further input into the harmonic state estimation model of the target power system, so that the harmonic state quantity between different measurement points in the bus to be monitored can be calculated.

[0041] In an embodiment of the present invention, the target phase difference between different measurement points is solved by the power quality monitoring data and pseudo-measurement harmonic current data in the asynchronous measurement state of the bus to be monitored. After determining the target phase difference between different measurement points, the harmonic state quantity between different measurement points in the bus to be monitored can be further calculated based on the target phase difference and the harmonic state estimation model of the target power system. Since the above technical solution uses the phase difference calculated between the measurement points to solve the harmonic state quantity between the measurement points, there is no need to synchronously measure the power quality monitoring data between the measurement points, which reduces the difficulty of collecting power quality monitoring data and can ensure the accuracy of harmonic state estimation in the power system.

[0042] The harmonic state quantity estimated by the harmonic state estimation method based on pseudo-measurement for the bus to be monitored in the target power system can be used as reference data to determine the current harmonic pollution situation in the target power system, so as to further effectively control the harmonics in the target power system according to the analysis results of the harmonic state quantity, reduce the harmonic pollution in the target power system, and further improve the power quality in the target power system.

[0043] The embodiment of the present invention obtains power quality monitoring data and pseudo-measurement harmonic current data of a bus to be monitored in a target power system in an asynchronous measurement state, and further calculates a target phase difference between different measurement points in the bus to be monitored based on the power quality monitoring data and the pseudo-measurement harmonic current data. Thus, the harmonic state quantity between different measurement points in the bus to be monitored can be calculated based on the target phase difference and a harmonic state estimation model of the target power system, thereby solving the problem of low accuracy of the harmonic state estimation method in the existing power system and improving the accuracy of harmonic state estimation in the power system.

[0044] Example 2

[0045] Figure 2 This is a flowchart of a harmonic state estimation method based on pseudo measurement provided by the second embodiment of the present invention. This embodiment is specific based on the above embodiment. In this embodiment, multiple specific optional implementation methods are provided for obtaining power quality monitoring data and pseudo-measurement harmonic current data of the bus to be monitored, determining the target phase difference between different measurement points in the bus to be monitored, and determining the harmonic state quantity between different measurement points in the bus to be monitored. Accordingly, Figure 2 As shown, the method of this embodiment may include:

[0046] S210: Obtain a first original harmonic voltage, a first original harmonic current, and a first network parameter of the first measurement point at a first moment.

[0047] Among them, the first measurement point can be a direct measurement point of the power quality monitoring data of the bus to be monitored in the target power system. The so-called direct measurement point can be understood as a location in the target power system where the power quality monitoring data can be directly measured. The first moment can be the moment when the power quality monitoring data of the first measurement point of the bus to be monitored is measured. The first original harmonic voltage can be the harmonic voltage of the first measurement point of the bus to be monitored. The first original harmonic current can be the harmonic current of the first measurement point of the bus to be monitored. The first network parameter can be parameter data describing the topological structure and electrical characteristics of the first measurement point of the bus to be monitored. Exemplarily, the first network parameter can include but is not limited to the resistance, reactance, capacitance and network topology of the first measurement point of the bus to be monitored. The embodiment of the present invention does not limit the specific data type included in the first network parameter. It should be noted that the first network parameter is parameter data that can be directly determined from the first measurement point of the bus to be monitored in the target power system.

[0048] In an embodiment of the present invention, to measure the power quality monitoring data of the bus to be monitored in the target power system, it is first necessary to obtain the first original harmonic voltage, the first original harmonic current and the first network parameter of the first measurement point of the bus to be monitored at the first moment.

[0049] S220: Obtain a second original harmonic voltage, a second original harmonic current, and a second network parameter at the second measurement point at a second moment.

[0050] Among them, the second measurement point can be a direct measurement point of the power quality monitoring data of the bus to be monitored in the target power system. It can be understood that the first measurement point and the second measurement point are different measurement points. The second moment can be the moment when the power quality monitoring data of the second measurement point of the bus to be monitored is measured. It should be noted that the first moment and the second moment can be the same or different. The second original harmonic voltage can be the harmonic voltage of the second measurement point of the bus to be monitored. The second original harmonic current can be the harmonic current of the second measurement point of the bus to be monitored. The second network parameter can be parameter data describing the topological structure and electrical characteristics of the second measurement point of the bus to be monitored. Exemplarily, the second network parameter can include but is not limited to the resistance, reactance, capacitance and network topology of the second measurement point of the bus to be monitored. The embodiment of the present invention does not limit the specific data type included in the first network parameter. It should be noted that the second network parameter is a determined parameter data obtained from the bus to be monitored in the target power system.

[0051] Specifically, to measure the power quality monitoring data of the bus to be monitored in the target power system, it is also necessary to obtain the second original harmonic voltage, the second original harmonic current, and the second network parameter at the second measurement point at the location to be monitored at the second moment. Furthermore, the first original harmonic voltage, the first original harmonic current, the first network parameter, the second original harmonic voltage, the second original harmonic current, and the second network parameter can be used as the power quality monitoring data.

[0052] S230: Determine the harmonic voltage of the first redundant virtual measurement bus at the first measurement point and the harmonic voltage of the first virtual measurement bus at the second measurement point according to the power quality monitoring data.

[0053] Among them, the harmonic voltage of the first redundant virtual measurement bus can be the harmonic voltage corresponding to the redundant virtual measurement bus, which can be determined based on the first original harmonic voltage, the first original harmonic current and the first network parameter. The virtual measurement bus can be understood as a target power system in which the harmonic state quantity cannot be directly measured, but the position of its harmonic state quantity can be determined based on the directly measured harmonic voltage, harmonic current and network parameter data. The redundant virtual measurement bus can be understood as requiring multiple virtual measurements to determine the position of its harmonic state quantity. The harmonic voltage of the first virtual measurement bus can be the harmonic voltage corresponding to the virtual measurement bus, which can be determined based on the second original harmonic voltage, the second original harmonic current and the second network parameter.

[0054] Specifically, after obtaining the power quality monitoring data of the bus to be monitored in the target power system, the harmonic voltage of the first redundant virtual measurement bus at the first measurement point of the bus to be monitored can be determined based on the first original harmonic voltage, the first original harmonic current and the first network parameter; similarly, the harmonic voltage of the first virtual measurement bus at the second measurement point of the bus to be monitored can also be determined based on the second original harmonic voltage, the second original harmonic current and the second network parameter.

[0055] Figure 3 This is a schematic diagram of a harmonic state estimation method based on pseudo measurement provided by the second embodiment of the present invention. In a specific example, Figure 3 As shown, assuming that the busbars 1 and 2 to be monitored are directly measured busbars, the first original harmonic voltage of busbar 1 is directly measured. First original harmonic current The first network parameter can be directly obtained by measurement. According to the direct measurement of the first original harmonic voltage of bus 1 First original harmonic current The harmonic voltage of the first redundant virtual measurement bus 3 can be obtained by combining the first network parameter Based on the same principle, the second original harmonic voltage of bus 2 is directly measured Second original harmonic current The second network parameter can be directly obtained by measuring the second original harmonic voltage of bus 2. Second original harmonic current The harmonic voltage of the first virtual measurement bus 4 can be obtained by combining the second network parameters Furthermore, according to the circuit calculation, we can get and The expression:

[0056]

[0057] in, is the harmonic voltage of the first virtual measurement bus 4, is the harmonic voltage of the first redundant virtual measurement bus 3, is the first original harmonic voltage, is the second original harmonic voltage, is the first original harmonic current, is the second original harmonic current, Z 13 To directly measure the impedance between bus 1 and redundant virtual measurement bus 3, Z 24 The impedance between the bus 2 and the virtual measurement bus 4 is directly measured.

[0058] In the above formula, The phase angle is The phase angle of is the relative phase angle of the reference. The phase angle is The phase angle of bus 1 is the reference relative phase angle, and the phase angle difference between the direct measurement bus 1 and the direct measurement bus 2 is the target phase difference.

[0059] S240: Calculate pseudo-measured harmonic current data corresponding to the harmonic voltage of the first redundant virtual measurement bus or pseudo-measured harmonic current data corresponding to the harmonic voltage of the first virtual measurement bus.

[0060] In this embodiment of the present invention, pseudo-measured harmonic current data is introduced to perform phase compensation between asynchronous monitoring points in the target power system. Modeling can be performed based on historical data to calculate the pseudo-measured harmonic current data corresponding to the harmonic voltages of the first redundant virtual measurement bus. This data can then be used to synchronize the phase difference between the redundant virtual measurement bus and the virtual measurement bus.

[0061] Optionally, modeling can be performed based on historical data to calculate pseudo-measured harmonic current data corresponding to the harmonic voltage of the first virtual measurement bus, thereby synchronizing the phase difference between the redundant virtual measurement bus and the virtual measurement bus based on the pseudo-measured harmonic current data corresponding to the harmonic voltage of the first virtual measurement bus.

[0062] S250: Determine a virtual measured harmonic current according to the pseudo measured harmonic current data and the original harmonic current.

[0063] The virtual measurement harmonic current may be a harmonic current between a redundant virtual measurement bus and a virtual measurement bus.

[0064] Specifically, after obtaining the pseudo-measured harmonic current data and the original harmonic current, the virtual measured harmonic current between the redundant virtual measurement bus and the virtual measurement bus can be determined based on Kirchhoff's current law and the pseudo-measured harmonic current data corresponding to the harmonic voltage of the first redundant virtual measurement bus and the first original harmonic current. Optionally, the virtual measured harmonic current between the redundant virtual measurement bus and the virtual measurement bus can also be determined based on the pseudo-measured harmonic current data corresponding to the harmonic voltage of the first virtual measurement bus and the second original harmonic current.

[0065] Continuing with the above example, Figure 3 As shown, based on Kirchhoff's law, the virtual measurement harmonic current between the redundant virtual measurement bus and the virtual measurement bus can be obtained

[0066]

[0067] in, It is pseudo-measured harmonic current data.

[0068] S260: Determine the harmonic voltage of the second redundant virtual measurement bus corresponding to the first measurement point according to the power quality monitoring data and the virtual measurement harmonic current.

[0069] Specifically, after determining the virtual measurement harmonic current based on the pseudo measurement harmonic current data and the original harmonic current, the harmonic voltage of the second redundant virtual measurement bus corresponding to the first measurement point can be determined based on the harmonic voltage of the first virtual measurement bus, the virtual measurement harmonic current, and the impedance data between the redundant virtual measurement bus and the virtual measurement bus, thereby establishing a complex equation for the harmonic voltage between the redundant virtual measurement bus and the virtual measurement bus based on the pseudo measurement technology principle.

[0070] Continuing with the above example, Figure 3 As shown, based on the virtual measurement of harmonic current The harmonic voltage of the second redundant virtual measurement bus corresponding to the first measurement point can be obtained. At this time, the phase angle of the harmonic voltage of the second redundant virtual measurement bus of redundant virtual measurement bus 3 is the relative phase angle based on the second original harmonic voltage of direct measurement bus 2:

[0071]

[0072] Among them, Z 43 is the impedance between the redundant virtual measurement bus 3 and the virtual measurement bus 4.

[0073] S270. Calculate a target phase difference between the first measurement point and the second measurement point based on the harmonic voltage of the first redundant virtual measurement bus at the first measurement point, the harmonic voltage of the second redundant virtual measurement bus, and the harmonic voltage of the first virtual measurement bus at the second measurement point.

[0074] Specifically, after obtaining the harmonic voltage of the second redundant virtual measurement bus corresponding to the first measurement point, the harmonic voltage of the first redundant virtual measurement bus at the first measurement point, the harmonic voltage of the second redundant virtual measurement bus, and the harmonic voltage of the first virtual measurement bus at the second measurement point can be combined to obtain a complex equation. Furthermore, the complex equation can be solved to obtain the target phase difference between the first measurement point and the second measurement point.

[0075] Continuing with the above example, the harmonic voltage of the first redundant virtual measurement bus at the first measurement point, the harmonic voltage of the second redundant virtual measurement bus, and the harmonic voltage of the first virtual measurement bus at the second measurement point are simultaneously calculated to obtain a complex equation: The target phase difference between direct measurement bus 1 and direct measurement bus 2 can be obtained by solving the complex equation, thereby converting the asynchronous measurement between direct measurement bus 1 and direct measurement bus 2 into synchronous measurement, meeting the synchronous observability of the target power system.

[0076] S280: Determine a harmonic state estimation model to be solved according to the target phase difference and the harmonic state estimation model.

[0077] The harmonic state estimation model to be solved may be a mathematical model for estimating the harmonic state of a bus to be monitored in a target power system based on limited measurement data, and the mathematical model includes unknown variables that need to be further solved.

[0078] Specifically, after obtaining the power quality monitoring data and pseudo-measurement harmonic current data of the bus to be monitored in the target power system, the target phase difference between the first measurement point and the second measurement point in the bus to be monitored can be obtained by analyzing and processing the power quality monitoring data and the pseudo-measurement harmonic current data. The target phase difference can be further input into the harmonic state estimation model of the target power system, so that the harmonic state estimation model to be solved including unknown variables can be determined.

[0079] In an embodiment of the present invention, the harmonic state estimation model may be:

[0080]

[0081] Where s is the measured bus sequence; u is the number of measured buses; sa is the number of the a-th measured bus in the measured bus sequence s, sb is the number of the b-th measured bus in the measured bus sequence s; o is the unmeasured bus sequence; n is the total number of buses in the target power system; oc is the number of the c-th unmeasured bus in the unmeasured bus sequence o; β sa-sb is the voltage phase difference between the measured busbar sa and the measured busbar sb; β sa-oc is the voltage phase difference between the measured busbar sa and the unmeasured busbar oc; P sae is the estimated value of the measured harmonic active power of bus sa, Q sae is the estimated value of the measured harmonic reactive power of bus sa, is the average value of the measured busbar sa harmonic active power, is the average value of the measured harmonic reactive power of bus sa, is the average value of the first original harmonic voltage amplitude of the measured bus sa, is the average value of the second original harmonic voltage amplitude of the measured bus sb; θ sa is the phase angle of the first original harmonic voltage of the measured bus sa, θ sb is the phase angle of the second original harmonic voltage of the measured bus sb; G sa-sb is the real part of the admittance matrix between the measured busbar sa and the measured busbar sb, B sa-sb is the imaginary part of the admittance matrix between the measured busbar sa and the measured busbar sb, G sa-oc is the real part of the admittance matrix between the measured busbar sa and the unmeasured busbar oc, B sa-oc is the imaginary part of the admittance matrix between the measured busbar sa and the unmeasured busbar oc; V oc is the harmonic voltage of the unmeasured bus oc; α sa is the target phase difference of the measured bus sa, α sb is the target phase difference of the measured bus sb; ΔP sa is the harmonic active power balance of the measured busbar sa, ΔQ sa is the harmonic reactive power balance of the measured bus sa.

[0082] S290 , solving the harmonic state estimation model to be solved according to the objective function to obtain intermediate parameter solution results.

[0083] The objective function may be a function determined to minimize the error between the measured value and the estimated value. For example, the objective function may be determined using a method such as the least squares method, and the embodiments of the present invention do not limit the specific method for determining the objective function. The intermediate parameter solution may be an intermediate variable result obtained by solving the harmonic state estimation model to be solved based on the objective function.

[0084] In an embodiment of the present invention, after determining the harmonic state estimation model to be solved, the harmonic state estimation model to be solved can be solved according to the objective function to obtain the intermediate parameter solution result. Further, the harmonic state quantity of the bus to be measured can be determined according to the intermediate parameter solution result.

[0085] In an embodiment of the present invention, the objective function may be:

[0086]

[0087] Where ΔP sa is the harmonic active power balance of the measured busbar sa, ΔQ sa is the harmonic reactive power balance of the measured bus sa.

[0088] S2100. Calculate the harmonic state quantities between different measurement points in the bus to be monitored according to the intermediate parameter solution result.

[0089] Specifically, after solving the harmonic state estimation model to be solved according to the objective function and obtaining the intermediate parameter solution results, the harmonic state quantities between different measurement points in the bus to be monitored can be further calculated according to the intermediate parameter solution results.

[0090] In a specific example, the harmonic state estimation model to be solved can be solved according to the objective function to obtain ΔP sa and ΔQ sa , we can further calculate the sa and ΔQ sa The P of the busbar to be monitored can be determined sae and Q sae , so that the P of the bus to be monitored can be sae and Q sae Determine the harmonic state quantity data such as harmonic voltage and harmonic current of the bus to be monitored.

[0091] The embodiment of the present invention obtains power quality monitoring data such as original harmonic voltage, original harmonic current and network parameters of the first measurement point and the second measurement point of the bus to be monitored in the target power system, as well as pseudo-measured harmonic current data, to determine the target phase difference between the first measurement point and the second measurement point, and further determines the harmonic state estimation model to be solved based on the target phase difference and the harmonic state estimation model of the target power system, so as to solve the harmonic state estimation model to be solved according to the objective function, and obtain the harmonic state quantities between different measurement points in the bus to be monitored in the target power system, thereby solving the problem of low accuracy of the harmonic state estimation method in the existing power system and improving the accuracy of the harmonic state estimation in the power system.

[0092] In the technical solutions disclosed herein, the collection, storage, use, processing, transmission, provision and disclosure of user personal information are in compliance with the relevant laws and regulations and do not violate public order and good morals.

[0093] It should be noted that any arrangement and combination of the technical features in the above embodiments also falls within the protection scope of the present invention.

[0094] Example 3

[0095] Figure 4 Schematic diagram of a harmonic state estimation device based on pseudo measurement provided by the third embodiment of the present invention, Figure 4 As shown, the apparatus includes: a harmonic state estimation associated data acquisition module 310, a target phase difference acquisition module 320 and a harmonic state quantity acquisition module 330, wherein:

[0096] The harmonic state estimation associated data acquisition module 310 is used to acquire power quality monitoring data and pseudo-measured harmonic current data of a bus to be monitored in a target power system; wherein the power quality monitoring data is asynchronously measured data.

[0097] The target phase difference acquisition module 320 is configured to calculate the target phase difference between different measurement points in the bus to be monitored based on the power quality monitoring data and the pseudo-measured harmonic current data.

[0098] The harmonic state quantity acquisition module 330 is configured to calculate the harmonic state quantities between different measurement points in the bus to be monitored according to the target phase difference and the harmonic state estimation model of the target power system.

[0099] The embodiment of the present invention obtains power quality monitoring data and pseudo-measurement harmonic current data of a bus to be monitored in a target power system in an asynchronous measurement state, and further calculates a target phase difference between different measurement points in the bus to be monitored based on the power quality monitoring data and the pseudo-measurement harmonic current data. Thus, the harmonic state quantity between different measurement points in the bus to be monitored can be calculated based on the target phase difference and a harmonic state estimation model of the target power system, thereby solving the problem of low accuracy of the harmonic state estimation method in the existing power system and improving the accuracy of harmonic state estimation in the power system.

[0100] In an optional embodiment of the present invention, the different measurement points include a first measurement point and a second measurement point.

[0101] In an optional embodiment of the present invention, the harmonic state estimation associated data acquisition module 310 is further used to: obtain the first original harmonic voltage, the first original harmonic current and the first network parameter of the first measurement point at the first moment; obtain the second original harmonic voltage, the second original harmonic current and the second network parameter of the second measurement point at the second moment; use the first original harmonic voltage, the first original harmonic current, the first network parameter, the second original harmonic voltage, the second original harmonic current and the second network parameter as the power quality monitoring data; determine the harmonic voltage of the first redundant virtual measurement bus of the first measurement point and the harmonic voltage of the first virtual measurement bus of the second measurement point according to the power quality monitoring data; calculate the pseudo-measured harmonic current data corresponding to the harmonic voltage of the first redundant virtual measurement bus or the pseudo-measured harmonic current data corresponding to the harmonic voltage of the first virtual measurement bus.

[0102] In an optional embodiment of the present invention, the target phase difference acquisition module 320 is further used to: determine a virtual measurement harmonic current based on the pseudo measurement harmonic current data and the original harmonic current; determine the harmonic voltage of the second redundant virtual measurement bus corresponding to the first measurement point based on the power quality monitoring data and the virtual measurement harmonic current; and calculate the target phase difference between the first measurement point and the second measurement point based on the harmonic voltage of the first redundant virtual measurement bus at the first measurement point, the harmonic voltage of the second redundant virtual measurement bus, and the harmonic voltage of the first virtual measurement bus at the second measurement point.

[0103] In an optional embodiment of the present invention, the harmonic state estimation model is:

[0104]

[0105] Where s is the measured bus sequence; u is the number of measured buses; sa is the number of the a-th measured bus in the measured bus sequence s, sb is the number of the b-th measured bus in the measured bus sequence s; o is the unmeasured bus sequence; n is the total number of buses in the target power system; oc is the number of the c-th unmeasured bus in the unmeasured bus sequence o; β sa-sb is the voltage phase difference between the measured busbar sa and the measured busbar sb; β sa-oc is the voltage phase difference between the measured busbar sa and the unmeasured busbar oc; P sae is the estimated value of the measured harmonic active power of bus sa, Q sae is the estimated value of the measured harmonic reactive power of bus sa, is the average value of the measured busbar sa harmonic active power, is the average value of the measured harmonic reactive power of bus sa, is the average value of the first original harmonic voltage amplitude of the measured bus sa, is the average value of the second original harmonic voltage amplitude of the measured bus sb; θ sa is the phase angle of the first original harmonic voltage of the measured bus sa, θ sb is the phase angle of the second original harmonic voltage of the measured bus sb; G sa-sb is the real part of the admittance matrix between the measured busbar sa and the measured busbar sb, B sa-sb is the imaginary part of the admittance matrix between the measured busbar sa and the measured busbar sb, G sa-oc is the real part of the admittance matrix between the measured busbar sa and the unmeasured busbar oc, B sa-oc is the imaginary part of the admittance matrix between the measured busbar sa and the unmeasured busbar oc; V oc is the harmonic voltage of the unmeasured bus oc; α sa is the target phase difference of the measured bus sa, α sb is the target phase difference of the measured bus sb; ΔP sa is the harmonic active power balance of the measured busbar sa, ΔQ sa is the harmonic reactive power balance of the measured bus sa.

[0106] In an optional embodiment of the present invention, the harmonic state quantity acquisition module 330 is also used to: determine the harmonic state estimation model to be solved based on the target phase difference and the harmonic state estimation model; solve the harmonic state estimation model to be solved according to the objective function to obtain an intermediate parameter solution result; and calculate the harmonic state quantities between different measurement points in the bus to be monitored based on the intermediate parameter solution result.

[0107] In an optional embodiment of the present invention, the objective function is:

[0108]

[0109] Where ΔP sa is the harmonic active power balance of the measured busbar sa, ΔQ sa is the harmonic reactive power balance of the measured bus sa.

[0110] The pseudo-measurement-based harmonic state estimation device described above can execute the pseudo-measurement-based harmonic state estimation method provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of executing the method. For technical details not fully described in this embodiment, please refer to the pseudo-measurement-based harmonic state estimation method provided in any embodiment of the present invention.

[0111] Since the pseudo-measurement-based harmonic state estimation device introduced above is a device that can execute the pseudo-measurement-based harmonic state estimation method in the embodiment of the present invention, based on the pseudo-measurement-based harmonic state estimation method introduced in the embodiment of the present invention, those skilled in the art can understand the specific implementation of the pseudo-measurement-based harmonic state estimation device of this embodiment and its various variations, so how the pseudo-measurement-based harmonic state estimation device implements the pseudo-measurement-based harmonic state estimation method in the embodiment of the present invention will not be described in detail here. As long as those skilled in the art implement the device adopted by the pseudo-measurement-based harmonic state estimation method in the embodiment of the present invention, it falls within the scope of protection to be protected by this application.

[0112] Example 4

[0113] Figure 5 A schematic diagram of the structure of an electronic device 10 that can be used to implement an embodiment of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or claimed herein.

[0114] like Figure 5As shown, the electronic device 10 includes at least one processor 11 and a memory, such as a read-only memory (ROM) 12, a random access memory (RAM) 13, etc., which is communicatively connected to the at least one processor 11. The memory stores a computer program that can be executed by the at least one processor. The processor 11 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 12 or the computer program loaded from the storage unit 18 into the random access memory (RAM) 13. Various programs and data required for the operation of the electronic device 10 can also be stored in the RAM 13. The processor 11, ROM 12, and RAM 13 are connected to each other via a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0115] Multiple components in the electronic device 10 are connected to the I / O interface 15, including an input unit 16, such as a keyboard, a mouse, etc.; an output unit 17, such as various types of displays, speakers, etc.; a storage unit 18, such as a magnetic disk, an optical disk, etc.; and a communication unit 19, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information / data with other devices via a computer network such as the Internet and / or various telecommunication networks.

[0116] The processor 11 may be any general-purpose and / or specialized processing component with processing and computing capabilities. Examples of the processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various specialized artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. The processor 11 executes the various methods and processes described above, such as the pseudo-measurement-based harmonic state estimation method.

[0117] In some embodiments, the harmonic state estimation method based on pseudo-measurement can be implemented as a computer program, which is tangibly contained in a computer-readable storage medium, such as a storage unit 18. In some embodiments, part or all of the computer program can be loaded and / or installed on the electronic device 10 via the ROM 12 and / or the communication unit 19. When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more steps of the harmonic state estimation method based on pseudo-measurement described above can be performed. Alternatively, in other embodiments, the processor 11 can be configured to execute the harmonic state estimation method based on pseudo-measurement in any other appropriate manner (for example, by means of firmware).

[0118] Optionally, the harmonic state estimation method based on pseudo-measurement may include: obtaining power quality monitoring data and pseudo-measurement harmonic current data of the bus to be monitored in the target power system; wherein the power quality monitoring data is asynchronously measured data; calculating the target phase difference between different measurement points in the bus to be monitored based on the power quality monitoring data and the pseudo-measurement harmonic current data; and calculating the harmonic state quantity between different measurement points in the bus to be monitored based on the target phase difference and the harmonic state estimation model of the target power system.

[0119] Various embodiments of the systems and techniques described herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), system-on-chip systems (SOCs), programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments can include being implemented in one or more computer programs that are executable and / or interpreted on a programmable system that includes at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0120] Computer programs for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, such that when the computer program is executed by the processor, the functions / operations specified in the flowcharts and / or block diagrams are implemented. The computer program may be executed entirely on the machine, partially on the machine, as a stand-alone software package, partially on the machine and partially on a remote machine, or entirely on a remote machine or server.

[0121] In the context of the present invention, computer-readable storage media can be tangible media that can contain or store a computer program for use with an instruction execution system, device or equipment or used in combination with an instruction execution system, device or equipment. Computer-readable storage media can include but are not limited to electronic, magnetic, optical, electromagnetic, infrared or semiconductor systems, devices or equipment, or any suitable combination of the foregoing. Alternatively, computer-readable storage media can be machine-readable signal media. More specific examples of machine-readable storage media can include electrical connections based on one or more lines, portable computer disks, hard disks, random access memories (RAM), read-only memories (ROM), erasable programmable read-only memories (EPROM or flash memory), optical fibers, portable compact disk read-only memories (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0122] To provide interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user can provide input to the electronic device. Other types of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and the input from the user can be received in any form (including acoustic input, voice input, or tactile input).

[0123] The systems and techniques described herein can be implemented in a computing system that includes back-end components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes front-end components (e.g., a user computer with a graphical user interface or web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such back-end components, middleware components, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0124] A computing system may include clients and servers. The clients and servers are typically remote from each other and typically interact via a communication network. This client-server relationship arises through computer programs running on the respective computers, creating a client-server relationship. The server may be a cloud server, also known as a cloud computing server or cloud host. This server is a hosting product within the cloud computing service ecosystem that addresses the management difficulties and limited scalability of traditional physical hosting and VPS services.

[0125] It should be understood that the various forms of the processes shown above can be used to reorder, add, or delete steps. For example, the steps described in this disclosure can be performed in parallel, sequentially, or in a different order, as long as the desired results of the technical solutions disclosed in this disclosure can be achieved. This is not a limitation herein.

[0126] The above specific embodiments do not constitute a limitation on the scope of protection of this disclosure. Those skilled in the art will appreciate that various modifications, combinations, sub-combinations, and substitutions may be made based on design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this disclosure shall be included within the scope of protection of this disclosure.

Claims

1. A harmonic state estimation method based on pseudo-measurement, characterized in that: include: Acquiring power quality monitoring data and pseudo-measured harmonic current data of a bus to be monitored in a target power system; wherein the power quality monitoring data is asynchronously measured data; Calculating target phase differences between different measurement points in the bus to be monitored based on the power quality monitoring data and the pseudo-measured harmonic current data; The harmonic state quantities between different measurement points in the bus to be monitored are calculated according to the target phase difference and the harmonic state estimation model of the target power system.

2. The method according to claim 1, characterized in that The different measurement points include a first measurement point and a second measurement point; and obtaining power quality monitoring data and pseudo-measurement harmonic current data of a bus to be monitored in a target power system includes: Acquire a first original harmonic voltage, a first original harmonic current, and a first network parameter of the first measurement point at a first moment; Obtaining a second original harmonic voltage, a second original harmonic current, and a second network parameter of the second measurement point at a second moment; using the first original harmonic voltage, the first original harmonic current, the first network parameter, the second original harmonic voltage, the second original harmonic current, and the second network parameter as the power quality monitoring data; determining, based on the power quality monitoring data, a harmonic voltage of a first redundant virtual measurement bus at the first measurement point and a harmonic voltage of a first virtual measurement bus at the second measurement point; Pseudo-measured harmonic current data corresponding to the harmonic voltage of the first redundant virtual measurement bus or pseudo-measured harmonic current data corresponding to the harmonic voltage of the first virtual measurement bus is calculated.

3. The method according to claim 1, characterized in that The different measurement points include a first measurement point and a second measurement point; and calculating the target phase difference between the different measurement points in the bus to be monitored based on the power quality monitoring data and the pseudo-measurement harmonic current data includes: determining a virtual measured harmonic current based on the pseudo measured harmonic current data and the original harmonic current; determining a harmonic voltage of a second redundant virtual measurement bus corresponding to the first measurement point according to the power quality monitoring data and the virtual measurement harmonic current; A target phase difference between the first measurement point and the second measurement point is calculated based on the harmonic voltage of the first redundant virtual measurement bus at the first measurement point, the harmonic voltage of the second redundant virtual measurement bus, and the harmonic voltage of the first virtual measurement bus at the second measurement point.

4. The method according to any one of claims 1 to 3, characterized in that: The harmonic state estimation model is: ； ； in, is the measured bus sequence; is the number of measured buses; For the measured bus sequence Middle Measured bus numbers, For the measured bus sequence Middle Measured bus number; is the unmeasured bus sequence; is the total number of buses in the target power system; Unmeasured bus sequence Middle Unmeasured busbar numbers; For measured bus and measured busbars The voltage phase difference between For measured bus With unmeasured bus The voltage phase difference between For measured bus Estimated value of harmonic active power, For measured bus Estimated value of harmonic reactive power, For measured bus The average value of the harmonic active power, For measured bus The average value of harmonic reactive power, For measured bus The average value of the first original harmonic voltage amplitude, For measured bus The average value of the second original harmonic voltage amplitude; For measured bus The phase angle of the first original harmonic voltage, For measured bus Phase angle of the second original harmonic voltage; For measured bus and measured busbars The real part of the admittance matrix between For measured bus and measured busbars The imaginary part of the admittance matrix between For measured bus and unmeasured busbars The real part of the admittance matrix between For measured bus and unmeasured busbars The imaginary part of the admittance matrix between; For unmeasured bus Harmonic voltage; For measured bus The target phase difference, For measured bus Target phase difference; For measured bus Harmonic active power balance, For measured bus Harmonic reactive power balance.

5. The method according to claim 4, characterized in that The calculating of harmonic state quantities between different measurement points in the bus to be monitored according to the target phase difference and the harmonic state estimation model of the target power system includes: Determining a harmonic state estimation model to be solved according to the target phase difference and the harmonic state estimation model; Solving the harmonic state estimation model to be solved according to the objective function to obtain intermediate parameter solution results; The harmonic state quantities between different measurement points in the bus to be monitored are calculated according to the intermediate parameter solution results.

6. The method according to claim 5, characterized in that The objective function is: ； in, For measured bus Harmonic active power balance, For measured bus Harmonic reactive power balance.

7. A harmonic state estimation device based on pseudo-measurement, characterized in that: include: A harmonic state estimation associated data acquisition module is used to acquire power quality monitoring data and pseudo-measured harmonic current data of a bus to be monitored in a target power system; wherein the power quality monitoring data is asynchronously measured data; a target phase difference acquisition module, configured to calculate the target phase difference between different measurement points in the bus to be monitored based on the power quality monitoring data and the pseudo-measured harmonic current data; A harmonic state quantity acquisition module is used to calculate the harmonic state quantities between different measurement points in the bus to be monitored according to the target phase difference and the harmonic state estimation model of the target power system.

8. An electronic device, characterized in that: The electronic device comprises: at least one processor; and a memory communicatively connected to the at least one processor; wherein, The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor to enable the at least one processor to perform the harmonic state estimation method based on pseudo measurement according to any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the harmonic state estimation method based on pseudo measurement according to any one of claims 1 to 6 when executed.

10. A computer program product comprising a computer program / instructions, wherein: When the computer program / instructions are executed by a processor, the harmonic state estimation method based on pseudo-measurement according to any one of claims 1 to 6 is implemented.

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