Harmonic state estimation method and device, electronic equipment, storage medium and program

Abstract

The embodiment of the invention discloses a harmonic state estimation method and device, electronic equipment, a storage medium and a program, and the method comprises the steps: obtaining the power quality monitoring data of a to-be-monitored bus in a target power system; wherein the electric energy quality monitoring data is data measured asynchronously; calculating a target phase difference between different measurement points in the to-be-monitored bus according to the power quality monitoring data; and according to the target phase difference and a harmonic state estimation model of the target power system, calculating a harmonic state quantity between different measurement points in the to-be-monitored bus. According to the technical scheme of the embodiment of the invention, the accuracy of harmonic state estimation in the power system can be improved.

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, device, electronic device, storage medium and program. Background Art

[0002] With the rapid development of power electronic equipment, harmonic pollution in power systems is becoming increasingly serious. Harmonic pollution has many impacts on power systems, including increasing equipment losses, affecting equipment performance, and interfering with communication systems. Therefore, the control and management of harmonics is an important task in the operation of power systems.

[0003] At present, the existing harmonic state estimation methods mainly rely on synchronous measurement data. However, when some monitoring points are not observable, it will affect the observability of the overall harmonic state of the power system.

[0004] In the process of realizing the present invention, the inventors found that the prior art has the following defects: in actual projects, 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 harmonic state estimation method, device, electronic device, storage 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, there is provided a harmonic state estimation method, comprising:

[0007] Acquire power quality monitoring data of a bus to be monitored in a target power system; wherein the power quality monitoring data is data measured asynchronously;

[0008] Calculating the target phase difference between different measuring points in the bus to be monitored according to the power quality monitoring data;

[0009] The harmonic state quantities between different measuring 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, comprising:

[0011] A power quality monitoring data acquisition module is used to acquire power quality monitoring data of a bus to be monitored in a target power system; wherein the power quality monitoring data is data measured asynchronously;

[0012] A target phase difference acquisition module, used for calculating the target phase difference between different measuring points in the bus to be monitored according to the power quality monitoring 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, there is provided an electronic device, the electronic device 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 execute the harmonic state estimation method described in 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 described in any embodiment of the present invention when executed.

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

[0020] The embodiment of the present invention obtains power quality monitoring data of a bus to be monitored in a target power system under 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, so that 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 contents described in this section are not intended to identify the key or important features of the embodiments of the present invention, nor are they intended to limit the scope of the present invention. Other features of the present invention will become easily 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 is a flow chart of a harmonic state estimation method provided by Embodiment 1 of the present invention;

[0024] Figure 2 is a flow chart of a harmonic state estimation method provided by Embodiment 2 of the present invention;

[0025] Figure 3 It is a schematic diagram of a harmonic state estimation method based on redundant virtual measurement lines when the original harmonic currents are equal, provided in the second embodiment of the present invention;

[0026] Figure 4 It is a schematic diagram of a harmonic state estimation method based on redundant virtual measurement lines when the original harmonic voltages are equal, provided in the second embodiment of the present invention;

[0027] Figure 5 It is a schematic diagram of a harmonic state estimation method based on multiple redundant virtual measurements provided in Embodiment 2 of the present invention;

[0028] Figure 6 is a schematic diagram of a harmonic state estimation device provided by Embodiment 3 of the present invention;

[0029] Figure 7 A schematic diagram of the structure of an electronic device provided in Embodiment 4 of the present invention. DETAILED DESCRIPTION

[0030] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme 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 described embodiments 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 creative work should fall within the scope of protection of the present invention.

[0031] It should be noted that the terms "first", "second" and "target" 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 sequence. It should be understood that the data used in this way can be interchanged 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 device that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0032] Embodiment 1

[0033] Figure 1 This is a flowchart of a harmonic state estimation method provided by 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 of the direct 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 in an electronic device. The electronic device can be a terminal device or a server device. As long as it can execute the harmonic state estimation method, the embodiment of the present invention does not limit the specific device type of the electronic device. Accordingly, Figure 1 As shown, the method includes the following operations:

[0034] S110, obtaining power quality monitoring data of a bus to be monitored in a target power system; wherein the power quality monitoring data is data measured asynchronously.

[0035] Among them, the target power system may be a power system that needs to perform harmonic state quantity estimation. The bus to be monitored may be a bus for which the harmonic state quantity is to be determined in the target power system. The power quality monitoring data may be data related to the estimation of the harmonic state quantity of the target power system. Exemplarily, the power quality monitoring data may include but is not limited to the original harmonic voltage, original harmonic current and network parameters, etc. The embodiment of the present invention does not limit the specific data type contained in the power quality monitoring data. It should be noted that the power quality monitoring data is obtained through asynchronous measurement.

[0036] 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 the asynchronous measurement state can be first obtained to serve as a reference basic data source for the subsequent harmonic state estimation process.

[0037] S120. Calculate the target phase difference between different measuring points in the bus to be monitored according to the power quality monitoring data.

[0038] The target phase difference may be an asynchronously measured phase difference between different measuring points of the bus to be monitored. The different measuring points may be locations in the bus to be monitored where power quality monitoring data can be directly measured. Exemplarily, the different measuring points may include but are not limited to a first measuring point and a second measuring point.

[0039] In an embodiment of the present invention, after acquiring the power quality monitoring data of the bus to be monitored in the target power system under the asynchronous measurement state, the target phase difference between different measuring points in the bus to be monitored can be calculated based on the power quality monitoring data, so that phase synchronization operations can be performed between different measuring points in the bus to be monitored based on the target phase difference.

[0040] S130. 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.

[0041] The harmonic state estimation model may be a mathematical model for analyzing and evaluating the harmonic state between different measurement points in the bus to be monitored in the target power system. The harmonic state quantity may be a set of parameter data that describes and quantifies the harmonic state of the bus to be monitored in the target power system. Exemplarily, the harmonic state quantity may include but is not limited to harmonic voltage, harmonic current, and harmonic power, etc. The embodiment of the present invention does not limit the specific data type contained in the harmonic state quantity.

[0042] Specifically, after obtaining the power quality monitoring data of the bus to be monitored in the target power system, the target phase difference between different measuring points in the bus to be monitored can be obtained by analyzing and processing the power quality monitoring data, and the target phase difference can be further input into the harmonic state estimation model of the target power system, so that the harmonic state quantities between different measuring points in the bus to be monitored can be calculated.

[0043] In an embodiment of the present invention, the target phase difference between different measurement points is solved by the power quality monitoring data of the bus to be monitored in the asynchronous measurement state. After determining the target phase difference between different measurement points, further, the harmonic state quantity between different measurement points in the bus to be monitored can be calculated based on the target phase difference and the harmonic state estimation model of the target power system. Since the above technical scheme uses the phase difference calculated between different measurement points to solve the harmonic state quantity between different measurement points, there is no need to synchronously measure the power quality monitoring data between different 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.

[0044] The harmonic state quantity estimated by the above-mentioned harmonic state estimation method 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.

[0045] The embodiment of the present invention obtains power quality monitoring data of a bus to be monitored in a target power system under 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, so that 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.

[0046] Embodiment 2

[0047] Figure 2 is a flowchart of a harmonic state estimation method 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 of the bus to be monitored, determining the harmonic state estimation model to be solved, and determining the harmonic state quantity between different measurement points in the bus to be monitored. Figure 2 As shown, the method of this embodiment may include:

[0048] 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.

[0049] 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, and the embodiment of the present invention does not limit the specific data type contained 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.

[0050] In an embodiment of the present invention, the power quality monitoring data of the bus to be monitored in the target power system is measured based on the principle of redundant virtual measurement. First, it is 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. Among them, the redundant virtual measurement can be based on the actual measured harmonic data of each asynchronous monitoring point, combined with the basic properties of the circuit, to independently carry out virtual measurement of the harmonic state of the bus to be monitored. The asynchronous phase compensation technology based on redundant virtual measurement studies the phase compensation between each asynchronous monitoring point by comparing and analyzing the differences between each independent virtual measurement result of the same bus to be monitored.

[0051] S220: Obtain a second original harmonic voltage, a second original harmonic current, and a second network parameter of the second measurement point at a second moment.

[0052] 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. 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, and the embodiment of the present invention does not limit the specific data type contained 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.

[0053] Specifically, based on the redundant virtual measurement principle, the power quality monitoring data of the bus to be monitored in the target power system is measured, and the second original harmonic voltage, the second original harmonic current and the second network parameters of the second measurement point at the monitored location at the second moment need to be obtained.

[0054] S230: Determine a redundant virtual measurement voltage model adapted by the target power system.

[0055] The redundant virtual measurement voltage model may be a bus voltage model to be monitored established based on the redundant virtual measurement principle.

[0056] In the embodiment of the present invention, the redundant virtual measurement voltage model may be:

[0057]

[0058] Among them, V AK is the first original harmonic voltage of the first measurement point at time t, V BK is the second original harmonic voltage of the second measurement point at time t+Δt, V K0 is the DC component of the first original harmonic voltage at the first measurement point at time t and the second original harmonic voltage at the second measurement point at time t+Δt, H Kh is the amplitude of the hth harmonic voltage, φ Kh is the initial phase angle of the hth harmonic voltage, ω 1 =2πf 1 , f 1 is the fundamental frequency, δ BK =hω 1 Δt.

[0059] S240: Calculate a target phase difference between the first measurement point and the second measurement point according to the power quality monitoring data and the redundant virtual measurement voltage model.

[0060] Specifically, after obtaining the power quality monitoring data of the bus to be monitored in the target power system, the original harmonic voltage 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 original harmonic voltage 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. Furthermore, a redundant virtual measurement voltage model can be constructed based on the principle that the harmonic voltage amplitudes on the same bus are equal and the phase angles are the same or opposite, so that the target phase difference δ between the first measurement point and the second measurement point can be determined based on the redundant virtual measurement voltage model. BK , to achieve asynchronous phase compensation between different measurement points.

[0061] Optionally, the target phase difference between the first measurement point and the second measurement point may also be calculated according to the power quality monitoring data and the redundant virtual measurement current model.

[0062] It should be noted that in the harmonic state estimation method provided in the embodiment of the present invention, the redundant virtual measurement voltage model and the redundant virtual measurement current model are consistent in principle, that is, the voltage quantity in the redundant virtual measurement voltage model is replaced by the current quantity. It is understandable that the target phase difference between the first measurement point and the second measurement point calculated according to the power quality monitoring data and the redundant virtual measurement voltage model or the redundant virtual measurement current model is the same.

[0063] S250: Determine a harmonic state estimation model to be solved according to the target phase difference and the harmonic state estimation model.

[0064] 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.

[0065] Specifically, after obtaining the power quality monitoring data of the bus to be monitored in the target power system, the target phase difference between the first measuring point and the second measuring point in the bus to be monitored can be obtained by analyzing and processing the power quality monitoring data, and 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.

[0066] In an embodiment of the present invention, the harmonic state estimation model may be:

[0067]

[0068] 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 bus sa and the measured bus sb; β sa-oc is the voltage phase difference between the measured bus sa and the unmeasured bus 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 harmonic active power of bus sa, 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 G is the phase angle of the second original harmonic voltage of the measured bus sb; 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 bus sa and the unmeasured bus oc, B sa-oc is the imaginary part of the admittance matrix between the measured bus sa and the unmeasured bus 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 bus sa, ΔQ sa is the harmonic reactive power balance of the measured bus sa.

[0069] S260. Solve the harmonic state estimation model to be solved according to the objective function to obtain an intermediate parameter solution result.

[0070] The objective function may be a function determined by minimizing the error between the measured value and the estimated value. Exemplarily, the objective function may be determined according to a method such as the least squares method, and the embodiment of the present invention does not limit the specific method for determining the objective function. The intermediate parameter solution result may be an intermediate variable result obtained by solving the harmonic state estimation model to be solved according to the objective function.

[0071] 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 an 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.

[0072] In the embodiment of the present invention, the objective function may be:

[0073]

[0074] Among them, ΔP sa is the harmonic active power balance of the measured bus sa, ΔQ sa is the harmonic reactive power balance of the measured bus sa.

[0075] S270. Calculate the harmonic state quantities between different measuring points in the bus to be monitored according to the intermediate parameter solution result.

[0076] Specifically, after solving the harmonic state estimation model to be solved according to the objective function and obtaining the intermediate parameter solution result, the harmonic state quantity between different measurement points in the bus to be monitored can be further calculated according to the intermediate parameter solution result.

[0077] 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 bus 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.

[0078] The embodiment of the present invention obtains power quality monitoring data such as original harmonic voltage, original harmonic current and network parameters of a first measuring point and a second measuring point of a bus to be monitored in a target power system, determines a target phase difference between the first measuring point and the second measuring point, and further determines a harmonic state estimation model to be solved according to the target phase difference and the harmonic state estimation model of the target power system, thereby solving the harmonic state estimation model to be solved according to the objective function, and obtaining harmonic state quantities between different measuring 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 harmonic state estimation in the power system.

[0079] Specific application scenarios

[0080] In order to more clearly describe the technical solution provided by the embodiment of the present invention, the embodiment of the present invention provides three harmonic state estimation methods.

[0081] Figure 3 is a schematic diagram of a harmonic state estimation method based on redundant virtual measurement lines when the original harmonic currents are equal, provided by the second embodiment of the present invention. In a specific example, Figure 3 As shown, the harmonic state estimation method may include the following steps:

[0082] Step 1: Obtain the first original harmonic voltage of bus 1 under the condition of direct measurement and asynchronous measurement With the first original harmonic current The second original harmonic voltage of bus 2 in the case of non-synchronous measurement The second original harmonic current

[0083] Step 2: Starting from directly measuring bus 1, use The first network parameter can be obtained by virtual measurement of the original harmonic current of the virtual measurement bus 3 Starting from the direct measurement of bus 2, using The original harmonic current of the virtual measurement bus 4 can be obtained by virtual measurement of the second network parameters

[0084] Step 3: Figure 3 As shown, and are on the same line but in opposite directions, so and The magnitudes are equal and the phase angles are opposite, θ 13 for The phase angle, θ 24 for The phase angle can be expressed by the formula Δθ 12=θ 13 +θ 24 Solve to obtain the target phase difference Δθ between the asynchronous measurement values ​​of bus 1 and bus 2 12 ;

[0085] Step 4: Input the target phase difference into the harmonic state estimation model, according to the objective function The solution is obtained to obtain the harmonic state quantity of the busbar that is directly measured.

[0086] Figure 4 is a schematic diagram of a harmonic state estimation method based on redundant virtual measurement lines when the original harmonic voltages are equal, provided in the second embodiment of the present invention. In a specific example, Figure 4 As shown, the harmonic state estimation method may include the following steps:

[0087] Step 1: Obtain the original harmonic voltage of buses 1 to 8 under the asynchronous measurement condition. With the original harmonic current There is an unknown asynchronous measurement target phase difference Δθ between the bus measurement values ij Specifically, when performing asynchronous phase compensation on directly measured buses 1 and 2, the original harmonic voltage of bus 1 is directly measured. is the first original harmonic voltage, the original harmonic current is the first original harmonic current, directly measuring the original harmonic voltage of bus 2 is the second original harmonic voltage, the original harmonic current is the second original harmonic current; when the asynchronous phase compensation is performed on the directly measured buses 2 and 3, the original harmonic voltage of bus 2 is directly measured is the first original harmonic voltage, the original harmonic current is the first original harmonic current, directly measuring the original harmonic voltage of bus 3 is the second original harmonic voltage, the original harmonic current is the second original harmonic current; by analogy, when the asynchronous phase compensation is performed on the directly measured buses 7 and 8, the original harmonic voltage of the directly measured bus 7 is is the first original harmonic voltage, the original harmonic current is the first original harmonic current, directly measuring the original harmonic voltage of bus 8 is the second original harmonic voltage, the original harmonic current is the second original harmonic current;

[0088] Step 2: Starting from directly measuring busbars 1 to 8, use and network parameters, the original harmonic voltage of redundant virtual measurement bus 0 can be obtained through virtual measurement

[0089] Step 3: Since the voltage amplitudes and phase angles of the same bus are equal, we can Solve to obtain the target phase difference Δθ between the asynchronous measurement values ​​of each direct measurement bus ij , where θ i0 is the harmonic voltage phase angle of redundant virtual measurement bus 0 obtained by virtual measurement of direct measurement bus i, θ j0 is the harmonic voltage phase angle of bus 0 obtained by virtual measurement of bus j directly;

[0090] Step 4: Input the target phase difference into the harmonic state estimation model, solve it according to the objective function, and obtain the harmonic state quantity of the direct measurement bus.

[0091] Figure 5 is a schematic diagram of a harmonic state estimation method based on multiple redundant virtual measurements provided by the second embodiment of the present invention. In a specific example, Figure 5 As shown, the harmonic state estimation method may include the following steps:

[0092] Step 1: Busbars 1 to 3 and busbar 4 are directly measured buses, and the original harmonic voltages of directly measured buses 1 to 3 and directly measured busbar 4 under asynchronous measurement are obtained respectively. With the original harmonic current Specifically, when performing asynchronous phase compensation on directly measured buses 1 and 2, the original harmonic voltage of bus 1 is directly measured. is the first original harmonic voltage, the original harmonic current is the first original harmonic current, directly measuring the original harmonic voltage of bus 2 is the second original harmonic voltage, the original harmonic current is the second original harmonic current; when the asynchronous phase compensation is performed on the directly measured buses 2 and 3, the original harmonic voltage of bus 2 is directly measured is the first original harmonic voltage, the original harmonic current is the first original harmonic current, directly measuring the original harmonic voltage of bus 3 is the second original harmonic voltage, the original harmonic current is the second original harmonic current;

[0093] Step 2: Starting from directly measuring busbars 1 to 3, use and network parameters, the original harmonic voltage of the redundant virtual measurement bus 5 can be obtained through virtual measurement

[0094] Step 3: Since the voltage amplitudes and phase angles of the same bus are equal, we can Solve to obtain the target phase difference Δθ between the asynchronous measurement values ​​of each direct measurement bus ij , where θ i5 is the harmonic voltage phase angle of redundant virtual measurement bus 5 obtained by virtual measurement of direct measurement bus i, θ j5 is the harmonic voltage phase angle of the redundant virtual measurement bus 5 obtained by virtual measurement of the direct measurement bus j;

[0095] Step 4: Starting from directly measuring busbar 4, use And network parameters, the original harmonic voltage of the redundant virtual measurement bus 6 can be obtained by virtual measurement At this time, the direct measurement buses 1 to 3 and the redundant virtual measurement bus 5 are synchronized, but there is still an unknown phase difference between them and the direct measurement bus 4. Specifically, when the direct measurement bus 4 and the redundant virtual measurement bus 5 are subjected to asynchronous phase compensation, the original harmonic voltage of the direct measurement bus 4 is is the first original harmonic voltage, the original harmonic current is the first original harmonic current, the original harmonic voltage of the redundant virtual measurement bus 5 is the second original harmonic voltage, the original harmonic current is the second original harmonic current;

[0096] Step 5: Starting from the redundant virtual measurement bus 5, the original harmonic voltage of the redundant virtual measurement bus 6 can be obtained by combining the network parameters.

[0097] Step 6: Since the voltage amplitudes of the same busbar are equal and the phase angles are the same, Solve to obtain the target phase difference Δθ between the direct measurement of bus 1 to 3 and the direct measurement of bus 4 asynchronous measurement value ij ;

[0098] Step 7: Input the target phase difference into the harmonic state estimation model, solve it according to the objective function, and obtain the harmonic state quantity of the direct measurement bus.

[0099] The embodiment of the present invention determines the target phase difference between the asynchronous measurement values ​​of each bus through the power quality monitoring data such as the original harmonic voltage, original harmonic current and network parameters of the direct measurement point of the bus to be monitored in the target power system, and further determines the harmonic state estimation model to be solved according to 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 quantity of the bus to be monitored in the target power system, so as to solve the problem of low accuracy of the harmonic state estimation method in the existing power system and improve the accuracy of harmonic state estimation in the power system.

[0100] In the technical solution of the present disclosure, 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.

[0101] 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.

[0102] Embodiment 3

[0103] Figure 6 is a schematic diagram of a harmonic state estimation device provided by Embodiment 3 of the present invention, such as Figure 6 As shown, the device includes: a power quality monitoring data acquisition module 310, a harmonic state estimation model determination module 320 to be solved, and a harmonic state quantity acquisition module 330, wherein:

[0104] The power quality monitoring data acquisition module 310 is used to acquire the power quality monitoring data of the bus to be monitored in the target power system; wherein the power quality monitoring data is data measured asynchronously;

[0105] A target phase difference acquisition module 320 is used to calculate the target phase difference between different measurement points in the bus to be monitored according to the power quality monitoring data;

[0106] The harmonic state quantity acquisition module 330 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.

[0107] The embodiment of the present invention obtains power quality monitoring data of a bus to be monitored in a target power system under 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, so that 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.

[0108] Optionally, the different measurement points include a first measurement point and a second measurement point.

[0109] Optionally, the power quality monitoring data acquisition module 310 is also 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.

[0110] Optionally, the target phase difference acquisition module 320 is further used to: determine a redundant virtual measurement voltage model adapted to the target power system; and calculate a target phase difference between the first measurement point and the second measurement point according to the power quality monitoring data and the redundant virtual measurement voltage model.

[0111] Optionally, the redundant virtual measurement voltage model is:

[0112]

[0113] Among them, V AK is the first original harmonic voltage of the first measurement point at time t, V BK is the second original harmonic voltage of the second measurement point at time t+Δt, V K0 is the DC component of the first original harmonic voltage at the first measurement point at time t and the second original harmonic voltage at the second measurement point at time t+Δt, H Kh is the amplitude of the hth harmonic voltage, φ Kh is the initial phase angle of the hth harmonic voltage, ω 1 =2πf 1 , f 1 is the fundamental frequency, δ BK =hω 1 Δt.

[0114] Optionally, the harmonic state estimation model is:

[0115]

[0116] 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 bus sa and the measured bus sb; β sa-oc is the voltage phase difference between the measured bus sa and the unmeasured bus 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 harmonic active power of bus sa, 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 sais the phase angle of the first original harmonic voltage of the measured bus sa, θ sb G is the phase angle of the second original harmonic voltage of the measured bus sb; 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 bus sa and the unmeasured bus oc, B sa-oc is the imaginary part of the admittance matrix between the measured bus sa and the unmeasured bus 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 bus sa, ΔQ sa is the harmonic reactive power balance of the measured bus sa.

[0117] Optionally, the harmonic state quantity acquisition module 330 is also used to: determine the harmonic state estimation model to be solved according to 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 according to the intermediate parameter solution result.

[0118] Optionally, the objective function is:

[0119]

[0120] Among them, ΔP sa is the harmonic active power balance of the measured bus sa, ΔQ sa is the harmonic reactive power balance of the measured bus sa.

[0121] The harmonic state estimation device can execute the harmonic state estimation method provided by any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method. For technical details not described in detail in this embodiment, please refer to the harmonic state estimation method provided by any embodiment of the present invention.

[0122] Since the harmonic state estimation device introduced above is a device that can execute the harmonic state estimation method in the embodiment of the present invention, based on the harmonic state estimation method introduced in the embodiment of the present invention, a person skilled in the art can understand the specific implementation of the harmonic state estimation device of the present embodiment and its various variations, so how the harmonic state estimation device implements the harmonic state estimation method in the embodiment of the present invention is not described in detail here. As long as a person skilled in the art implements the device used by the harmonic state estimation method in the embodiment of the present invention, it belongs to the scope of protection of this application.

[0123] Embodiment 4

[0124] Figure 7 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 required herein.

[0125] like Figure 7 As shown, the electronic device 10 includes at least one processor 11, and a memory connected to the at least one processor 11, such as a read-only memory (ROM) 12, a random access memory (RAM) 13, etc., wherein the memory stores a computer program that can be executed by at least one processor, and 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 to the random access memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 can also be stored. The processor 11, the ROM 12, and the RAM 13 are connected to each other through a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0126] A number of 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 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 through a computer network such as the Internet and / or various telecommunication networks.

[0127] The processor 11 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various dedicated artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any appropriate processor, controller, microcontroller, etc. The processor 11 executes the various methods and processes described above, such as the harmonic state estimation method.

[0128] In some embodiments, the harmonic state estimation method may 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 may 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 described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to perform the harmonic state estimation method in any other appropriate manner (e.g., by means of firmware).

[0129] Optionally, the harmonic state estimation method may include: obtaining power quality monitoring data of a bus to be monitored in a target power system; determining a harmonic state estimation model to be solved based on the power quality monitoring data and a harmonic state estimation model of the target power system; solving the harmonic state estimation model to be solved according to an objective function to obtain the harmonic state quantity of the bus to be monitored in the target power system.

[0130] Various implementations of the systems and techniques described above 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), systems on chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including 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.

[0131] 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, so that when the computer program is executed by the processor, the functions / operations specified in the flow chart and / or block diagram are implemented. The computer program may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0132] In the context of the present invention, a computer-readable storage medium may be a tangible medium that may contain or store a computer program for use by or in combination with an instruction execution system, device or equipment. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices or equipment, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0133] To provide interaction with a user, the systems and techniques described herein may 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 a pointing device (e.g., a mouse or trackball) through which the user can provide input to the electronic device. Other types of devices may also be used to provide interaction with the user; for example, the feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form (including acoustic input, voice input, or tactile input).

[0134] The systems and techniques described herein may be implemented in a computing system that includes backend 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 frontend components (e.g., a user computer with a graphical user interface or a 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 backend components, middleware components, or frontend components. The components of the system may 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.

[0135] A computing system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The client and server relationship is generated by computer programs running on the corresponding computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system to solve the defects of difficult management and weak business scalability in traditional physical hosts and VPS services.

[0136] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps recorded in this disclosure can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solutions disclosed in this disclosure can be achieved, and this document does not limit this.

[0137] The above specific implementations do not constitute a limitation on the protection scope of the present disclosure. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present disclosure shall be included in the protection scope of the present disclosure.

Claims

1. A harmonic state estimation method, characterized in that: include: Acquire power quality monitoring data of a bus to be monitored in a target power system; wherein the power quality monitoring data is data measured asynchronously; Calculating the target phase difference between different measuring points in the bus to be monitored according to the power quality monitoring data; The harmonic state quantities between different measuring 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 the obtaining of power quality monitoring 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; A second original harmonic voltage, a second original harmonic current and a second network parameter of the second measurement point at a second moment are obtained.

3. The method according to claim 2, characterized in that The step of calculating the target phase difference between different measuring points in the bus to be monitored according to the power quality monitoring data comprises: Determining a redundant virtual measurement voltage model adapted by the target power system; A target phase difference between the first measurement point and the second measurement point is calculated according to the power quality monitoring data and the redundant virtual measurement voltage model.

4. The method according to claim 3, characterized in that The redundant virtual measurement voltage model is: Among them, V AK is the first original harmonic voltage of the first measurement point at time t, V BK is the second original harmonic voltage of the second measurement point at time t+Δt, V K0 is the DC component of the first original harmonic voltage at the first measurement point at time t and the second original harmonic voltage at the second measurement point at time t+Δt, H Kh is the amplitude of the hth harmonic voltage, φ Kh is the initial phase angle of the hth harmonic voltage, ω1=2πf1, f1 is the fundamental frequency, δ BK =hω1Δt.

5. The method according to any one of claims 1 to 4, characterized in that: The harmonic state estimation model is: 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 bus sa and the measured bus sb; β sa-oc is the voltage phase difference between the measured bus sa and the unmeasured bus 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 harmonic active power of bus sa, 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 G is the phase angle of the second original harmonic voltage of the measured bus sb; 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 bus sa and the unmeasured bus oc, B sa-oc is the imaginary part of the admittance matrix between the measured bus sa and the unmeasured bus 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 bus sa, ΔQ sa is the harmonic reactive power balance of the measured bus sa.

6. The method according to claim 1, characterized in that The calculating the harmonic state quantity between different measuring 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 an intermediate parameter solution result; The harmonic state quantities between different measuring points in the bus to be monitored are calculated according to the intermediate parameter solution results.

7. The method according to claim 6, characterized in that The objective function is: Where ΔP sa is the harmonic active power balance of the measured bus sa, ΔQ sa is the harmonic reactive power balance of the measured bus sa.

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 so that the at least one processor can execute the harmonic state estimation method according to any one of claims 1 to 7.

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 described in any one of claims 1-7 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 described in any one of claims 1-7 is implemented.

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