Power distribution network power quality treatment ability comprehensive evaluation method and system

Abstract

The application discloses a power distribution network electric energy quality treatment capacity comprehensive evaluation method and system, including calculating the electric energy quality treatment demand capacity of the treatment demand node according to the harmonic component, the negative sequence component and the reactive component obtained by decoupling from the treatment demand node; quantifying the residual capacity of each electric energy quality treatment resource and the treatment range of each electric energy quality treatment resource; calculating the time-space complementary parameters based on the residual capacity and the treatment range of each electric energy quality treatment resource and the electric energy quality treatment demand capacity of the treatment demand node; and evaluating the electric energy quality treatment capacity of the power distribution network based on the time-space complementary parameters of each treatment demand node in the power distribution network region.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of power quality management of distribution network, and particularly relates to a power quality management capability comprehensive evaluation method and system for distribution network. BACKGROUND

[0002] The transformation of new power systems in this energy structure brings clean energy to the power system, but also causes increasingly prominent power quality problems, such as aggravated harmonic pollution, deteriorated three-phase imbalance, and low power factor. These power quality problems can cause production equipment failure, increased equipment wear and tear, and thus cause certain economic losses. However, the remaining capacity of the widely accessed distributed resources such as photovoltaic in the distribution network also provides a new idea for power quality management. The distributed resources and loads in the distribution network have obvious spatiotemporal distribution characteristics and complex complementary relationship. In-depth exploration of the spatiotemporal complementary characteristics between source and load and comprehensive evaluation of the management effect of the distribution network on this basis can help us better manage power quality problems.

[0003] Existing researches mainly focus on static load characteristic analysis or generation side resource complementarity research, lack in-depth exploration of the spatiotemporal complementary characteristics between source and load, and thus it is difficult to accurately evaluate the management potential of power quality management resources. Therefore, there is an urgent need for a power quality management capability evaluation method for distribution network that can comprehensively consider the spatiotemporal complementary characteristics of source and load to realize coordinated optimization of management resources.

[0004] In related technologies, the scheme disclosed in the patent application document with publication number CN115000939A focuses on power quality anomaly detection and management scheme optimization, which relies on business platform data aggregation to realize management effect evaluation through dynamic weighting and fuzzy reasoning. The scheme disclosed in the patent application document with publication number CN107862466A focuses more on wide-area source and load bilateral randomness smoothing, which uses big data statistical modeling to quantify cross-spatiotemporal complementarity through correlation coefficient and smoothing effect coefficient. However, the spatial complementarity in this scheme is realized by cross-country and cross-regional networking, which utilizes the output characteristic differences (such as time zone difference and seasonal difference) of different regional renewable energy (such as wind, light, and water) to achieve complementarity. Then, based on multi-time scale analysis of the matching of renewable energy output and load, a typical output curve and load prediction model are constructed. The complementarity is measured by correlation coefficient, aiming to smooth the volatility of renewable energy through source and load complementarity in a wide range, and reduce the bilateral randomness of the system. This scheme relies on global wind and light resource database and load prediction model, and focuses on macro-statistics and long-term prediction. SUMMARY

[0005] The technical problem to be solved by the present application is how to realize accurate matching of local management resources and demand in the distribution network, and provide quantitative basis for collaborative management of power quality in the distribution network.

[0006] The present application solves the above technical problems by the following technical means:

[0007] A power quality treatment capacity comprehensive evaluation method for a power distribution network is provided, and the method comprises:

[0008] According to the harmonic component, the negative sequence component and the reactive component decoupled from the treatment demand node, the power quality treatment demand capacity of the treatment demand node is calculated;

[0009] The residual capacity of each power quality treatment resource and the treatment range of each power quality treatment resource are quantified;

[0010] Based on the residual capacity and the treatment range of each power quality treatment resource and the power quality treatment demand capacity of the treatment demand node, the space-time complementary parameter is calculated;

[0011] Based on the space-time complementary parameter of each treatment demand node in the power distribution network region, the power quality treatment capacity of the power distribution network is evaluated.

[0012] Further, the calculation of the power quality treatment demand capacity of the treatment demand node according to the harmonic component, the negative sequence component and the reactive component decoupled from the treatment demand node comprises:

[0013] The harmonic component, the negative sequence component and the reactive component are decoupled from the treatment demand node by using the synchronous coordinate transformation method;

[0014] According to the harmonic component, the negative sequence component and the reactive component, the demand capacity of the harmonic component, the demand capacity of the negative sequence component and the demand capacity of the reactive component are calculated respectively;

[0015] According to the demand capacity of the harmonic component, the demand capacity of the negative sequence component and the demand capacity of the reactive component, the power quality treatment demand capacity of the treatment demand node is calculated.

[0016] Further, the quantification of the residual capacity of each power quality treatment resource and the treatment range of each power quality treatment resource comprises:

[0017] Based on the given rated capacity of each power quality treatment resource, the residual capacity of each power quality treatment resource is quantified;

[0018] The treatment range of each power quality treatment resource is determined based on the voltage sensitivity.

[0019] Further, the power quality treatment resource comprises an active filter, a static reactive power generator and a photovoltaic inverter; and the quantification of the residual capacity of each power quality treatment resource based on the given rated capacity of each power quality treatment resource comprises:

[0020] According to the given rated capacity of the photovoltaic inverter and the grid-connected active power, the remaining capacity of the photovoltaic inverter is calculated;

[0021] The given rated capacity of the active filter is taken as the remaining capacity of the source filter;

[0022] The given rated capacity of the static var generator is taken as the remaining capacity of the static var generator.

[0023] Further, the determination of the treatment range of each power quality treatment resource based on voltage sensitivity includes:

[0024] According to the voltage of the treatment demand node j and the reactive power added at the node i where the power quality treatment resource is located, the voltage sensitivity is calculated;

[0025] The voltage sensitivity is compared with the sensitivity threshold to determine the treatment range of the power quality treatment resource.

[0026] Further, the calculation of the space-time complementary parameter based on the remaining capacity and treatment range of each power quality treatment resource and the power quality treatment demand capacity of the treatment demand node includes:

[0027] According to the total treatment demand capacity of the treatment demand node covered by the power quality treatment resource in the treatment range and the remaining capacity of the power quality treatment resource, the treatment demand capacity of the power quality treatment resource excluding the treatment demand node is calculated;

[0028] According to the remaining capacity of each power quality treatment resource and the treatment demand capacity of each power quality treatment resource excluding the treatment demand node, the remaining capacity of each power quality treatment resource available for compensation of the treatment demand node is calculated;

[0029] According to the remaining capacity of each power quality treatment resource available for compensation of the treatment demand node, the remaining capacity of all power quality treatment resources available for compensation of the treatment demand node enclosed by the treatment demand node is calculated;

[0030] According to the remaining capacity of all power quality treatment resources available for compensation of the treatment demand node enclosed by the treatment demand node and the judgment parameter of whether the treatment demand node can be treated by a single treatment resource, the space-time complementary parameter is calculated.

[0031] Further, the calculation of the treatment demand capacity of the power quality treatment resource excluding the treatment demand node according to the total treatment demand capacity of the treatment demand node covered by the power quality treatment resource in the treatment range and the remaining capacity of the power quality treatment resource is expressed by the formula:

[0032]

[0033] wherein: is the power quality management resource is the total management demand of the covered management demand point, is the management demand node k is the power quality management demand capacity of the management demand node, is the power quality management resource is the management demand capacity of the management demand node inside the power quality management resource.

[0034] Further, the residual capacity of each power quality management resource available for compensating the management demand node is calculated according to the residual capacity of each power quality management resource and the management demand capacity of the management demand node inside each power quality management resource, and is represented as:

[0035]

[0036] wherein: is the residual capacity of the management resource available for compensating the management demand node , is the management demand capacity of the management resource inside the power quality management resource , is the residual capacity of the power quality management resource .

[0037] Further, the space-time complementary parameter is calculated according to the residual capacity of all power quality management resources encompassing the management demand node available for compensating the management demand node and the judgment parameter of whether the management demand node can be managed by a single management resource, and includes:

[0038] The space-time complementary parameter of compensating the management demand node is calculated according to the residual capacity of all power quality management resources encompassing the management demand node available for compensating the management demand node and the judgment parameter of whether the management demand node can be managed by a single management resource, and is represented as:

[0039]

[0040] wherein: is the space-time complementary parameter, is the residual capacity of all management resources encompassing the management demand node available for compensating the management demand node , is the power quality management demand capacity of the management demand node , is the power quality management demand capacity of the management demand node A judgment parameter of whether a single governance resource can govern;

[0041] According to the governance demand node A space complementarity parameter at different time points, and a calculation of the space-time complementarity parameter.

[0042] Further, the governance demand node The calculation formula of the judgment parameter of whether a single governance resource can govern is:

[0043]

[0044]

[0045] In the formula: The governance resource The governance degree, The remaining capacity of the governance resource The total governance demand of the governance demand point covered by the governance resource

[0046] In addition, the present application also proposes a power quality governance capability comprehensive evaluation system of a power distribution network, comprising:

[0047] A governance demand capacity calculation module, configured to calculate the power quality governance demand capacity of the governance demand node according to the harmonic component, the negative sequence component and the reactive component obtained by decoupling from the governance demand node;

[0048] A quantification module, configured to quantify the remaining capacity of each power quality governance resource and the governance range of each power quality governance resource;

[0049] A space-time complementarity parameter calculation module, configured to calculate the space-time complementarity parameter based on the remaining capacity and the governance range of each power quality governance resource and the power quality governance demand capacity of the governance demand node;

[0050] A governance capability evaluation module, configured to evaluate the power quality governance capability of the power distribution network based on the space-time complementarity parameter of each governance demand node in the power distribution network region.

[0051] In addition, the present application also proposes a computer readable storage medium, which stores a computer program, and the computer program is executed by a processor to realize the power quality governance capability comprehensive evaluation method of the power distribution network as described above.

[0052] The present application has the following advantages:

[0053] ​​The application can obtain high-precision treatment demand capacity by calculating harmonic components, negative sequence components and reactive components, so as to realize accurate matching of treatment resources to treatment demand, calculate space-time complementary parameters through source-load data of multiple time points, and then provide quantitative indexes for evaluating treatment ability of treatment resources by quantifying space-time matching degree of treatment demand and treatment resources, which can directly reflect dynamic change trend of power treatment ability of distribution network.

[0054] Additional aspects and advantages of the application will be set forth in part in the description which follows, and in part will become apparent to those skilled in the art upon examination of the following and / or can be learned by practice of the application. BRIEF DESCRIPTION OF DRAWINGS

[0055] Figure 1 A flowchart of a power quality treatment ability comprehensive evaluation method of a distribution network according to an embodiment of the application is shown in the figure.

[0056] Figure 2 A process diagram of decoupling load current into harmonic components, negative sequence components and reactive components based on the synchronous coordinate transformation method in an embodiment of the application is shown in the figure.

[0057] Figure 3 A space-time complementary parameter calculation flowchart of a treatment demand node in an embodiment of the application is shown in the figure.

[0058] Figure 4 A typical photovoltaic output data diagram in an embodiment of the application is shown in the figure.

[0059] Figure 5 A typical load active power data diagram in an embodiment of the application is shown in the figure.

[0060] Figure 6 A typical load reactive power data diagram in an embodiment of the application is shown in the figure.

[0061] Figure 7 A typical distribution network scene based on the IEEE33 node model in an embodiment of the application is shown in the figure.

[0062] Figure 8 Space-time complementary parameters of treatment demand nodes for a typical distribution network scene in an embodiment of the application are shown in the figure.

[0063] Figure 9 A space-time complementary parameter curve diagram of node 25 and node 31 in an embodiment of the application is shown in the figure.

[0064] Figure 10 A structure diagram of a power quality treatment ability comprehensive evaluation system of a distribution network according to an embodiment of the application is shown in the figure. DETAILED DESCRIPTION

[0065] In order to make the purposes, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be described clearly and completely below in conjunction with the embodiments of the present application. Obviously, the described embodiments are only some of the embodiments of the present application, rather than all the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative effort belong to the scope of protection of the present application.

[0066] As shown in Figure 1 An embodiment of the present application provides a power quality management capability comprehensive evaluation method for a power distribution network, and the method comprises the following steps:

[0067] S10, calculating power quality management demand capacity of the management demand node according to the harmonic component, the negative sequence component and the reactive component decoupled from the management demand node;

[0068] S20, quantifying residual capacity of each power quality management resource and management range of each power quality management resource;

[0069] S30, calculating space-time complementary parameters based on the residual capacity and the management range of each power quality management resource and the power quality management demand capacity of the management demand node;

[0070] S40, evaluating power quality management capability of the power distribution network based on the space-time complementary parameters of each management demand node in the power distribution network.

[0071] The power quality management capability comprehensive evaluation process for the power distribution network in the embodiment can be divided into four key links, i.e., management demand capacity quantification, management resource residual capacity calculation, management area division and space-time complementary parameter generation. Firstly, residual capacity of the management resource is quantified and its management range is determined, and power quality management demand capacity of the management demand node is quantified. Secondly, the quantified management demand capacity is calculated, and space-time complementary parameters are introduced to evaluate coverage capability of the management resource. Finally, the power quality management capability of the power distribution network is embodied according to the space-time complementary parameters between the management resource and the management demand node. The space-time complementary parameters proposed in the embodiment can quantify the space-time matching degree between the management resource and the management demand node, provide dynamic evaluation basis for power quality collaborative management of the power distribution network, have the characteristics of high calculation efficiency and strong applicability, and can effectively evaluate the power quality management capability in the power distribution network.

[0072] As a further preferred technical solution, the step S10: calculating power quality management demand capacity of the management demand node according to the harmonic component, the negative sequence component and the reactive component decoupled from the management demand node, specifically comprises the following steps:

[0073] S11, the harmonic component, the negative sequence component and the reactive component are obtained by decoupling the governance demand node by using the synchronous coordinate transformation method;

[0074] Specifically, as shown in the figure, Figure 2 the embodiment decouples the governance demand node current into the harmonic component, the negative sequence component and the reactive component based on the synchronous coordinate transformation method, wherein, , , is the load current, , , is the fundamental current. In the synchronous coordinate transformation method, the matrix and the matrix are involved:

[0075]

[0076]

[0077] In the formula, is the grid fundamental angular frequency, , = 50 Hz.

[0078] It should be noted that the embodiment converts the current in the three-phase stationary coordinate system abc into the direct-axis component and the quadrature-axis component in the synchronous rotating coordinate system dq , and then calculates the direct-axis component and the quadrature-axis component to obtain each harmonic component, negative sequence component and reactive component.

[0079] S12, the demand capacity of the harmonic component, the demand capacity of the negative sequence component and the demand capacity of the reactive component are calculated according to the harmonic component, the negative sequence component and the reactive component respectively;

[0080] Specifically, the demand capacity of the harmonic component is:

[0081]

[0082] The demand capacity of the negative sequence component is:

[0083]

[0084] The demand capacity of the reactive component is:

[0085]

[0086] In the formula, is the margin coefficient, U I is the line voltage, Tis the period of the current signal, 、 、 is the harmonic component, 、 、 is the reactive component, 、 、 is the negative sequence component.

[0087] Preferably, a margin coefficient of 1.2 is set in the embodiment to prevent the peak superposition from exceeding the capacity and improve the harmonic control capability.

[0088] S13, based on the demand capacity of the harmonic component, the demand capacity of the negative sequence component and the demand capacity of the reactive component, calculate the power quality control demand capacity of the control demand point.

[0089] Specifically, the calculation formula of the power quality control demand capacity of the control demand point is:

[0090]

[0091] In the formula: is the demand capacity of the reactive component, is the demand capacity of the negative sequence component, is the demand capacity of the harmonic component.

[0092] It should be noted that the embodiment comprehensively covers the three typical power quality problems in the distribution network through independent calculation and comprehensive superposition of the harmonic component, the reactive component and the negative sequence component, and can obtain a high-precision control demand capacity, so as to realize accurate matching of the control resources to the control demand and avoid waste of the control resources.

[0093] As a further preferred technical solution, the step S20 of quantifying the residual capacity of each power quality control resource and the control range of each power quality control resource specifically includes the following steps:

[0094] S21, based on the given rated capacity of each power quality control resource, quantifying the residual capacity of each power quality control resource;

[0095] S22, determining the control range of each power quality control resource based on the voltage sensitivity.

[0096] As a further preferred technical solution, the power quality control resource includes an active filter, a static var generator and a photovoltaic inverter.

[0097] Accordingly, step S21: quantifying the remaining capacity of each power quality management resource based on its given rated capacity, specifically includes the following steps:

[0098] S211. Calculate the remaining capacity of the photovoltaic inverter based on its given rated capacity and grid-connected active power.

[0099] Specifically, in this embodiment, the remaining capacity of the photovoltaic inverter is calculated as follows:

[0100]

[0101] In the formula: This represents the remaining capacity of the inverter. For rated capacity, This refers to the active power connected to the grid.

[0102] S212. Use the given rated capacity of the active filter as the remaining capacity of the source filter;

[0103] S213. Use the given rated capacity of the static var generator as the remaining capacity of the static var generator.

[0104] It should be noted that for active power filters (APF) and static var generators (SVG), this embodiment directly uses their given rated flux as the remaining capacity.

[0105] As a further preferred technical solution, step S22: determining the governance scope of each power quality governance resource based on voltage sensitivity, specifically includes the following steps:

[0106] S221, Based on governance needs nodes The nodes where voltage and power quality management resources are located. Calculate the voltage sensitivity by adding reactive power at the point;

[0107] Specifically, this embodiment determines the governance range of governance resources by using a voltage sensitivity threshold, and judges the node. Location-based reactive power pair nodes Whether the resulting voltage change meets the threshold can be determined by examining whether the node... There are governance resources and nodes. If the location is considered a point of governance need, is it at the node? Within the scope of governance resources at that location. Then the node... For nodes Voltage sensitivity The calculation formula is:

[0108]

[0109] In the formula: is the voltage of the governance demand node , is the reactive power added at the node where the governance resource is located .

[0110] S222, compare the voltage sensitivity with the sensitivity threshold value to determine the governance range of the power quality governance resource.

[0111] Specifically, the embodiment determines the governance range of the governance resource based on the voltage sensitivity, which is represented as:

[0112] The voltage sensitivity determines the governance range of each governance resource :

[0113]

[0114] In the formula: is the set sensitivity threshold value, is the voltage sensitivity, and in the embodiment, the sensitivity threshold value is preferably set to 0.01.

[0115] It should be noted that if the voltage sensitivity satisfies the condition of being greater than or equal to , and there is a governance resource at the node , then the node is included in the governance range of the governance resource at the node .

[0116] As a further preferred technical solution, the step S30 of calculating the time-space complementary parameter based on the residual capacity and the governance range of each power quality governance resource and the power quality governance demand capacity of the governance demand node specifically includes the following steps:

[0117] S31, according to the total governance demand capacity of the power quality governance resource covering the governance demand nodes in the governance range and the residual capacity of the power quality governance resource, calculate the governance demand capacity of the power quality governance resource excluding the governance demand nodes.

[0118] Specifically, the embodiment calculates the total governance demand in the governance range covered by the power quality governance resource according to the power quality governance demand capacity of the governance demand node and the governance range of the governance resource , and then calculates the governance demand capacity of the power quality governance resource excluding the governance demand nodes according to the total governance demand capacity and the residual capacity of the power quality governance resource: ​​​

[0119]

[0120] In the formula: is the power quality management resource total management demand of the covered management demand point, is the management demand node power quality management demand capacity of is the power quality management resource remove the management demand capacity of the management demand node from within.

[0121] S32, according to the residual capacity of each power quality management resource and the management demand capacity of each power quality management resource remove the management demand node, calculate the residual capacity of each power quality management resource available for compensation management demand node;

[0122] Specifically, define is the residual capacity of the power quality management resource the residual capacity of each power quality management resource available for compensation management demand node is calculated as:

[0123]

[0124] In the formula: is the residual capacity of the management resource available for compensation management demand node , is the management demand capacity of the management resource remove the management demand node from within, is the residual capacity of the power quality management resource .

[0125] S33, according to the residual capacity of each power quality management resource available for compensation management demand node, calculate the residual capacity of all power quality management resources available for compensation management demand node surrounded by the management demand node;

[0126] Specifically, after calculating the residual capacity of the power quality management resource available for compensation management demand node, the residual capacity of all management resources available for compensation management demand point surrounded by is calculated as:

[0127]

[0128] wherein, is the residual capacity of the management resource available for compensation management demand point​ the remaining capacity of all the power quality governance resources within the governance range of the governance demand node, all the governance demand nodes a set of governance resources within the governance range.

[0129] S34, calculating the space-time complementary parameter according to the remaining capacity of all the power quality governance resources within the governance range of the governance demand node for compensating the governance demand node and the judgment parameter of whether the governance demand node can be governed by a single governance resource.

[0130] As a further preferred technical solution, the step S34: calculating the space-time complementary parameter according to the remaining capacity of all the power quality governance resources within the governance range of the governance demand node for compensating the governance demand node and the judgment parameter of whether the governance demand node can be governed by a single governance resource, specifically includes the following steps:

[0131] S341, calculating the space complementary parameter of compensating the governance demand node according to the remaining capacity of all the power quality governance resources within the governance range of the governance demand node for compensating the governance demand node and the judgment parameter of whether the governance demand node can be governed by a single governance resource. The calculation formula of the space complementary parameter of the governance demand node is as follows:

[0132]

[0133] In the formula: is the space complementary parameter, is the remaining capacity of all the governance resources within the governance range of the governance demand node for compensating the governance demand node , is the power quality governance demand capacity of the governance demand node , and is the judgment parameter of whether the governance demand node can be governed by a single governance resource. S342, calculating the space-time complementary parameter according to the space complementary parameters of the governance demand node at different time points, which is as follows:

[0134]

[0135]

[0136] In the formula: is the different space complementary coefficients of the governance demand node at each time point within a day, is the space-time complementary parameter.

[0137] ​​It should be noted that this embodiment divides a day into 96 time points, thereby calculating the spatiotemporal complementarity coefficient based on the spatial complementarity coefficient of each time point within a day. Those skilled in the art can also divide other time periods according to actual needs to obtain the spatiotemporal complementarity coefficient corresponding to a certain time period. After obtaining the governance status of all governance demand nodes in the entire distribution network area, the dynamic governance capability of the distribution network can be reflected by the time complementarity parameters of the nodes in the entire distribution network area.

[0138] Therefore, this embodiment uses voltage sensitivity analysis to delineate the effective range of governance resources and allocates governance resources to the governance needs within the governance range based on remaining capacity. Then, a time scale is introduced to analyze the matching between the remaining capacity of governance resources and load demand at different times. Harmonic / reactive / negative sequence components are obtained based on synchronous coordinate transformation, and spatiotemporal complementary parameters are calculated based on the remaining capacity of governance resources to measure complementarity, thereby evaluating the governance capacity of governance resources in the distribution network. Essentially, it is based on real-time data at the distribution network node level, focusing on achieving micro-level governance and short-term response.

[0139] As a further preferred technical solution, the governance requirement node The formula for calculating the parameter determining whether something can be governed by a single resource is as follows:

[0140]

[0141]

[0142] In the formula: To govern resources The degree of governance To govern resources The remaining capacity, To govern resources Total governance needs covering all governance needs points.

[0143] It should be noted that, It is a parameter greater than 0, when A value between 0 and 1 indicates that the governance resource cannot fully meet the governance needs within its scope. Additionally, if... If the value is greater than 1, it means that the governance resource can fully meet the needs within its governance scope.

[0144] It should be understood that although this embodiment only provides three types of governance resources, in actual applications it is not limited to active power filters, static var generators (PV generators), and photovoltaic inverters (APFs), and there may be more than one of each type of governance resource. For example, there may be a situation where a governance requirement point is included in the governance scope by two photovoltaic systems and two APFs.

[0145] Specifically, such asFigure 3 In the embodiment shown, in the implementation process, the governance degree of the governance resource can be calculated first according to the residual capacity of the governance resource and the total governance demand in the governance range covered by the governance resource. If the governance degree of the governance resource is greater than or equal to 1, it is considered that the governance demand node can be completely governed by a single governance resource, and the spatial complementary parameter of the governance demand node is determined to be 0. If the governance degree of the governance resource is less than 1, it is considered that the governance demand node cannot be completely governed by a single governance resource, and the spatial complementary parameter of the governance demand node is calculated according to the residual capacity of all governance resources available for compensating the governance demand node and the power quality governance demand capacity of the governance demand node.

[0146] The following will be described by taking a typical power distribution network scenario governance capability evaluation as an example.

[0147] Referring to Figure 4 , Figure 5 and Figure 6 , Figure 4 typical photovoltaic output data, Figure 5 and Figure 6 typical load data. Add governance resources and loads in the IEEE33 node network model. The governance resources include active filters, static var generators, and photovoltaic inverters. The output data of the photovoltaic inverter is the photovoltaic output 1 in Figure 7 . At the same time, add the typical load data in Figure 5 and Figure 6 on the distributed nodes. The access positions are shown in Figure 7 , in which APF is an active filter, SVG is a static var generator, and PV is a photovoltaic inverter. The governance resource capacity is shown in Table 1.

[0148] Table 1. Parameters and access positions of governance resources

[0149]

[0150] ​​​​​​​​​​​​​​​​​​​The governance range covered by each governance resource based on voltage sensitivity is shown in Table 2.

[0151] Table 2 Governance range of each governance resource

[0152]

[0153] Reference Figure 8 , Figure 8 The space-time complementary parameter of the typical power distribution network governance demand node is shown in the above, wherein the space complementary parameter of most nodes is close to 1, indicating that the power quality problem of these nodes is well governed, and the remaining capacity of the power quality governance facility can govern the power quality problem of these nodes. At the same time, the time complementary parameter of some nodes is small, indicating that these nodes may have a large power quality problem and the current power quality governance equipment cannot well govern the power quality problem of these nodes.

[0154] Reference Figure 9 , Figure 9 The space-time complementary parameter curve of node 25 and node 31 in a day is shown in the above. The space-time complementary parameter of node 25 and node 31 is small. As shown in Table 2, node 31 is governed by SVG3, and the space complementary parameter fluctuates greatly, and the remaining capacity of the governance resource cannot govern the power quality problem of node 31. As shown in Table 2, node 25 is mainly governed by PV2, and the photovoltaic output is large at noon, and the remaining capacity for governing power quality is small, resulting in poor power governance effect of the nearby node. The present application aims at the power quality governance problem, analyzes the space-time correlation between the governance resource and the power quality emission source, introduces the space-time complementary parameter between the source and the load, quantifies the dynamic allocation ability of the governance resource, and effectively evaluates the governance ability.

[0155] In addition, as shown in Figure 10 Another embodiment of the present application further provides a power distribution network power quality governance ability comprehensive evaluation system, which comprises:

[0156] The governance demand capacity calculation module 10 is used for calculating the power quality governance demand capacity of the governance demand node according to the harmonic component, the negative sequence component and the reactive component decoupled from the governance demand node;

[0157] The quantification module 20 is used for quantifying the remaining capacity of each power quality governance resource and the governance range of each power quality governance resource;

[0158] The space-time complementary parameter calculation module 30 is used for calculating the space-time complementary parameter based on the remaining capacity and the governance range of each power quality governance resource and the power quality governance demand capacity of the governance demand node;

[0159] The governance capability evaluation module 40 is configured to evaluate the power quality governance capability of the power distribution network based on the space-time complementary parameters of each governance demand node in the power distribution network region.

[0160] As a further preferred technical solution, the governance demand capacity calculation module 10 comprises:

[0161] The decoupling unit is configured to decouple the harmonic component, the negative sequence component and the reactive component from the governance demand node by using a synchronous coordinate transformation method.

[0162] The demand capacity calculation unit is configured to calculate the demand capacity of the harmonic component, the demand capacity of the negative sequence component and the demand capacity of the reactive component according to the harmonic component, the negative sequence component and the reactive component respectively.

[0163] The total demand capacity calculation unit is configured to calculate the power quality governance demand capacity of the governance demand node according to the demand capacity of the harmonic component, the demand capacity of the negative sequence component and the demand capacity of the reactive component.

[0164] As a further preferred technical solution, the quantification module 20 specifically comprises:

[0165] The residual capacity quantification unit is configured to quantify the residual capacity of each power quality governance resource based on the given rated capacity of each power quality governance resource.

[0166] The governance range quantification unit is configured to determine the governance range of each power quality governance resource based on the voltage sensitivity.

[0167] As a further preferred technical solution, the residual capacity quantification unit is specifically configured to:

[0168] According to the given rated capacity and the grid-connected active power of the photovoltaic inverter, the residual capacity of the photovoltaic inverter is calculated;

[0169] The given rated capacity of the active filter is taken as the residual capacity of the active filter;

[0170] The given rated capacity of the static reactive power generator is taken as the residual capacity of the static reactive power generator.

[0171] As a further preferred technical solution, the governance range quantification unit is specifically configured to:

[0172] According to the voltage of the governance demand node and the reactive power added at the node where the power quality governance resource is located, the voltage sensitivity is calculated;

[0173] The voltage sensitivity is compared with a sensitivity threshold to determine the governance range of the power quality governance resource.

[0174] As a further preferred technical solution, the spatiotemporal complementary parameter calculation module 30 specifically includes:

[0175] The first calculation unit is used to calculate the governance demand capacity within the power quality governance resources, excluding the governance demand nodes, based on the total governance demand capacity of the governance demand nodes within the coverage area of ​​the power quality governance resources and the remaining capacity of the power quality governance resources.

[0176] The second calculation unit is used to calculate the remaining capacity of each power quality management resource that can be used to compensate for the management demand nodes, based on the remaining capacity of each power quality management resource and the management demand capacity within each power quality management resource excluding the management demand nodes.

[0177] The third calculation unit is used to calculate the remaining capacity of all power quality management resources surrounding the power quality management nodes that can be used to compensate for the power quality management nodes, based on the remaining capacity of each power quality management resource that can be used to compensate for the power quality management nodes.

[0178] The spatiotemporal complementarity parameter calculation unit is used to calculate spatiotemporal complementarity parameters based on the remaining capacity of all power quality governance resources surrounding the governance demand node that can be used to compensate the governance demand node and the judgment parameters of whether the governance demand node can be governed by a single governance resource.

[0179] As a further preferred technical solution, the spatiotemporal complementary parameter calculation unit specifically includes:

[0180] The spatial complementarity parameter calculation subunit is used to calculate the compensation for the nodes in need of power quality management based on the remaining capacity of all power quality management resources surrounding the nodes in need of power quality management, and the judgment parameters of whether a node in need of power quality management can be managed by a single management resource. The spatial complementary parameters are expressed as follows:

[0181]

[0182] In the formula: For spatial complementary parameters, To address the governance needs of the nodes All governance resources within the surrounding area can be used to compensate for governance needs. The remaining capacity, For governance demand nodes The required capacity for power quality management For governance demand nodes The parameters for determining whether something can be governed by a single governance resource;

[0183] The spatiotemporal complementary parameter calculation subunit is used to calculate the nodes according to governance requirements. The space complementary parameters at different time points are calculated to obtain the space-time complementary parameters.

[0184] As a further preferred technical solution, the governance demand node The calculation formula of the judgment parameter whether it can be governed by a single governance resource is:

[0185]

[0186]

[0187] In the formula: The governance degree of the governance resource , The residual capacity of the governance resource , The total governance demand of the governance demand points covered by the governance resource .

[0188] In addition, the application also provides a computer readable storage medium, which stores a computer program, and the computer program is executed by a processor to realize the power distribution network power quality governance capability comprehensive evaluation method as described above.

[0189] It should be noted that other embodiments or specific implementation methods of the power distribution network power quality governance capability comprehensive evaluation system and the computer readable storage medium of the application can refer to the above method embodiments, which will not be described here.

[0190] It is to be appreciated that the above description and the examples that follow are intended to be illustrative only and that changes can be made to the description, as represented by the above listed elements, by the steps recited in the flow charts, and by the examples that follow, without departing from the spirit of the application. Accordingly, the scope of the present application is intended to be defined only by the appended claims.

[0191] It should be understood that aspects of the application can be implemented in hardware, software, firmware or a combination thereof. In the above embodiments, various steps or methods can be implemented in software or firmware that is stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any of the following technologies, known in the art, can be used: a hybrid of the above technologies, a combination of any of the above technologies, etc.

[0192] In the description of the present application, the terms "one embodiment", "some embodiments", "an example", "a specific example", or "some examples" are intended to mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present application. The illustrative appearances of the above-mentioned terms in various places in the specification are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics can be combined in any suitable manner in one or more embodiments or examples.

[0193] Furthermore, the terms "first", "second", etc. are used only for descriptive purposes and do not connote or imply relative importance or a quantity of the indicated technical features. Thus, a feature defined with "first", "second", etc. can include at least one of the features implicitly or explicitly. In the description of the present application, the meaning of "a plurality" is at least two, for example, two, three, etc., unless otherwise specifically defined.

[0194] Although the embodiments of the present application have been shown and described above, it is understood that the above-described embodiments are exemplary and are not to be construed as limiting the present application, and that changes, modifications, substitutions and variations can be made by those skilled in the art without departing from the scope of the present application.

Claims

1. A power distribution network power quality governance capability comprehensive evaluation method, characterized in that, The method comprises the following steps: calculating the power quality governance demand capacity of the governance demand node according to the harmonic component, negative sequence component and reactive component decoupled from the governance demand node; quantifying the residual capacity of each power quality governance resource and the governance range of each power quality governance resource; calculating the space-time complementary parameters based on the residual capacity and the governance range of each power quality governance resource and the power quality governance demand capacity of the governance demand node, including calculating the residual capacity of the power quality governance resource except for the governance demand capacity of the governance demand node according to the total governance demand capacity of the governance demand node covered by the power quality governance resource in the governance range and the residual capacity of the power quality governance resource; calculating the residual capacity of each power quality governance resource available for compensating the governance demand node according to the residual capacity of each power quality governance resource and the residual capacity of each power quality governance resource except for the governance demand capacity of the governance demand node; calculating the residual capacity of all power quality governance resources available for compensating the governance demand node according to the residual capacity of each power quality governance resource available for compensating the governance demand node; calculating the space-time complementary parameters according to the residual capacity of all power quality governance resources available for compensating the governance demand node and the judgment parameter of whether the governance demand node can be governed by a single governance resource; evaluating the power quality governance capacity of the distribution network based on the space-time complementary parameters of each governance demand node in the distribution network region.

2. The power distribution grid power quality governing capability comprehensive evaluation method of claim 1, wherein, The method comprises the following steps: calculating the power quality governance demand capacity of the governance demand node according to the harmonic component, negative sequence component and reactive component decoupled from the governance demand node, including: decoupling the harmonic component, negative sequence component and reactive component from the governance demand node by using the synchronous coordinate transformation method; calculating the demand capacity of the harmonic component, the demand capacity of the negative sequence component and the demand capacity of the reactive component according to the harmonic component, negative sequence component and reactive component respectively; 3. The power distribution grid power quality governing capability comprehensive evaluation method of claim 1, wherein, calculating the power quality governance demand capacity of the governance demand node according to the demand capacity of the harmonic component, the demand capacity of the negative sequence component and the demand capacity of the reactive component. The method comprises the following steps: quantifying the residual capacity of each power quality governance resource based on the given rated capacity of each power quality governance resource; 4. The power distribution grid power quality governing capability comprehensive evaluation method of claim 3, wherein, determining the governance range of each power quality governance resource based on the voltage sensitivity. The power quality governance resource comprises an active filter, a static var generator and a photovoltaic inverter. The method comprises the following steps: calculating the residual capacity of the photovoltaic inverter according to the given rated capacity and the grid-connected active power of the photovoltaic inverter; taking the given rated capacity of the active filter as the residual capacity of the active filter; 5. The power distribution grid power quality governing capability comprehensive evaluation method of claim 3, wherein, taking the given rated capacity of the static var generator as the residual capacity of the static var generator. According to the governing demand node The voltage and the reactive power added by the power quality governing resource at the node The voltage sensitivity is calculated; The method comprises the following steps: comparing the voltage sensitivity with a sensitivity threshold to determine the governance range of the power quality governance resource.

6. The power distribution grid power quality governing capability comprehensive evaluation method of claim 1, wherein, The total management demand capacity of the management demand nodes covered by the power quality management resource in the management range and the residual capacity of the power quality management resource are used to calculate the residual capacity of the power quality management resource excluding the management demand capacity of the management demand nodes, which is expressed by a formula as follows: wherein: is the power quality management resource is the total management demand of the covered management demand point, is the management demand node is the power quality management demand capacity of the management demand node, is the power quality management resource is the management demand capacity of the management demand node is the management demand capacity of the management demand node 7. The power distribution grid power quality governing capability comprehensive evaluation method of claim 1, wherein, The residual capacity of each power quality management resource and the residual capacity of each power quality management resource excluding the management demand capacity of the management demand nodes are used to calculate the residual capacity of each power quality management resource available for compensating the management demand nodes, which is expressed by a formula as follows: wherein: is the amount of governance demand of the governance demand node, is the remaining capacity of the governance demand node, is the amount of governance demand of the governance demand node, is the remaining capacity of the governance demand node, is the amount of governance demand of the governance demand node, is the remaining capacity of the governance demand node, is the amount of governance demand of the governance demand node, is the remaining capacity of the governance demand node.

8. The power distribution grid power quality governing capability comprehensive evaluation method of claim 1, wherein, The residual capacity of each power quality management resource available for compensating the management demand nodes and the judgment parameter of whether the management demand nodes can be managed by a single management resource are used to calculate the time-space complementary parameter, which includes: According to the remaining capacity of all power quality management resources surrounded by the management demand node and available for compensating the management demand node and the judgment parameter of whether the management demand node can be managed by a single management resource, the spatial complementary parameter of compensating the management demand node is calculated and is represented as: wherein: is a spatial complementarity parameter, is a governance demand node all governance resources encompassed within the governance demand node remaining capacity available to compensate the governance demand node is a governance demand node power quality governance demand capacity of the governance demand node is a governance demand node a judgment parameter of whether the governance demand node can be governed by a single governance resource; According to the governance demand node The spatial complementary parameters at different time points are calculated to obtain the space-time complementary parameters.

9. The power distribution grid power quality governing capability comprehensive evaluation method of claim 8, wherein, the governance demand node The calculation formula of the judgment parameter whether can be governed by a single governance resource is: wherein: is the governance degree of the resource , is the remaining capacity of the governance resource , is the total governance demand of the governance demand points covered by the governance resource .

10. A power distribution network power quality governance capability comprehensive evaluation system, characterized in that, The time-space complementary parameter calculation module includes: The management demand capacity calculation module is used to calculate the power quality management demand capacity of the management demand nodes according to the harmonic component, the negative sequence component and the reactive component decoupled from the management demand nodes; The quantification module is used to quantify the residual capacity of each power quality management resource and the management range of each power quality management resource; The time-space complementary parameter calculation module is used to calculate the time-space complementary parameter based on the residual capacity of each power quality management resource and the management range and the power quality management demand capacity of the management demand nodes; The management capability evaluation module is used to evaluate the power quality management capability of the distribution network based on the time-space complementary parameter of each management demand node in the distribution network region; The time-space complementary parameter calculation module includes: The first calculation unit is used to calculate the residual capacity of the power quality management resource excluding the management demand capacity of the management demand nodes according to the total management demand capacity of the management demand nodes covered by the power quality management resource in the management range and the residual capacity of the power quality management resource; The second calculation unit is used to calculate the residual capacity of each power quality management resource available for compensating the management demand nodes according to the residual capacity of each power quality management resource and the residual capacity of each power quality management resource excluding the management demand capacity of the management demand nodes; The third calculation unit is used to calculate the residual capacity of all the power quality management resources surrounding the management demand nodes available for compensating the management demand nodes according to the residual capacity of each power quality management resource available for compensating the management demand nodes; The time-space complementary parameter calculation unit is used to calculate the time-space complementary parameter according to the residual capacity of all the power quality management resources surrounding the management demand nodes available for compensating the management demand nodes and the judgment parameter of whether the management demand nodes can be managed by a single management resource.

11. A computer readable storage medium having stored thereon a computer program, characterized in that, The computer program is executed by the processor to implement the power quality management capability comprehensive evaluation method of the distribution network according to any one of claims 1-9.

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