A phase-locking performance analysis method and system for microgrid system

Abstract

The present invention provides a phase-locked performance analysis method and system for a microgrid system, including: acquiring dynamic data generated by the microgrid system, determining a network mode of the microgrid system according to the dynamic data, acquiring corresponding performance analysis rules according to the network mode, analyzing the dynamic data using the performance analysis rules, generating a first phase-locked performance characteristic of the microgrid system according to the analysis result, acquiring switching data generated by the microgrid system during the switching process when the microgrid system performs mode switching, determining smooth transition phase information of the microgrid system according to the switching data, determining a second phase-locked performance characteristic of the microgrid system, establishing an output voltage amplitude of the microgrid system according to the dynamic data, and generating overall phase-locked performance information of the microgrid system in combination with the first phase-locked performance characteristic and the second phase-locked performance characteristic, so as to analyze the performance of the microgrid under different modes and perform corresponding analysis when it performs mode switching.

Description

Technical Field

[0001] The present invention relates to the field of phase-locking technology for microgrids, and in particular to a phase-locking performance analysis method and system for microgrid systems. Technical Background

[0002] With the development of distributed power generation systems, microgrid systems composed of distributed power sources have attracted more attention. Microgrid systems have two typical working modes: providing power to the grid under normal circumstances and being in grid-connected mode; when the grid fails or is in a planned power outage, it enters island mode.

[0003] The main problem that needs to be solved for the stable operation of microgrid systems is control. At present, most of the research focuses on output voltage and current control, and its control method uses a phase-locked loop, but when using a common phase-locked loop, it is necessary to track and analyze the performance of the microgrid system.

[0004] Therefore, the present invention provides a phase-locking performance analysis method and system for a microgrid system. Summary of the invention

[0005] The present invention provides a phase-locked performance analysis method and system for a microgrid system, which can analyze the performance of the microgrid in different modes and perform corresponding analysis when the microgrid performs mode switching.

[0006] The present invention provides a phase-locking performance analysis method for a microgrid system, comprising:

[0007] Step 1: Acquire dynamic data generated by a microgrid system, determine a network mode of the microgrid system according to the dynamic data, and acquire corresponding performance analysis rules according to the network mode;

[0008] Step 2: Analyze the dynamic data using the performance analysis rule, and generate a first phase-locked performance characteristic of the microgrid system according to the analysis result;

[0009] Step 3: when the microgrid system performs mode switching, obtaining switching data generated by the microgrid system during the switching process, determining smooth transition phase information of the microgrid system according to the switching data, and determining a second phase-locked performance characteristic of the microgrid system;

[0010] Step 4: Establishing the output voltage amplitude of the microgrid system according to the dynamic data, and generating overall phase-locking performance information of the microgrid system by combining the first phase-locking performance characteristic and the second phase-locking performance characteristic.

[0011] In one practicable manner,

[0012] Also includes:

[0013] The network mode includes an island mode and a grid-connected mode;

[0014] When the microgrid system is in the island mode, generating a self-oscillation characteristic of the microgrid system according to an analysis result of the performance analysis rule;

[0015] When the microgrid system is in the grid-connected mode, a filtering feature of the microgrid system is generated according to an analysis result of the performance analysis rule.

[0016] In one practicable manner,

[0017] Also includes:

[0018] When the microgrid system is in the island mode, using a PQ control method to collect dynamic data generated by the microgrid system;

[0019] When the microgrid system is in the grid-connected mode, using a V / f control method to collect dynamic data generated by the microgrid system;

[0020] When the microgrid system performs mode switching, the control mode of the microgrid system is switched, and when the control mode is switched, the input signal of the microgrid system is collected, and the switching data of the microgrid system is established according to the input signal.

[0021] In one practicable manner,

[0022] The step 1 comprises:

[0023] Step 11: when the microgrid system is in a working state, collecting dynamic data generated by the microgrid system, and determining the output power of the microgrid system according to the dynamic data;

[0024] Step 12: When the output power is 0, it is determined that the microgrid system is in an island mode, otherwise it is determined that the microgrid system is in a grid-connected mode;

[0025] Step 13: Establishing a network control strategy for the microgrid system according to the dynamic data; when the microgrid system is in an island mode, establishing an island analysis rule in combination with a preset self-oscillation analysis method; when the microgrid system is in a grid-connected mode, establishing a grid-connected analysis rule in combination with a preset filtering analysis method;

[0026] Step 14: Determine the power capacity of the microgrid system according to the dynamic data, and obtain the performance analysis rule of the microgrid system in combination with the island analysis rule / the grid-connected analysis rule.

[0027] In one practicable manner,

[0028] The step 2 comprises:

[0029] Step 21: obtaining a data structure of the microgrid system, inputting the dynamic data into the data structure to obtain a dynamic data structure, obtaining a plurality of segmented data contained in the dynamic data in the dynamic data structure, performing performance analysis on each segmented data using the performance analysis rule, and obtaining segmented performance corresponding to each segmented data;

[0030] Step 22: establishing a segmented process of the microgrid system according to each segmented data and the corresponding segmented performance, establishing a process relationship between different segmented processes based on the dynamic data structure, and establishing dynamic time points corresponding to different segmented processes based on the dynamic data structure, and establishing a total process of the microgrid system according to the dynamic time points;

[0031] Step 23: according to the analysis dimension corresponding to the analysis rule, the corresponding dimension sample parameter is retrieved, the process parameter of the microgrid system under the analysis dimension is established according to the overall process, and the dimension sample parameter is compared with the process parameter to obtain information about the same parameters and information about the different parameters;

[0032] Step 24: Establish dimensional characteristics of the microgrid system according to the dimensional sample parameters, establish reasonable process characteristics according to the same parameter information, establish unreasonable process information according to the different parameter information, and establish the first phase-locked performance characteristics of the microgrid system according to the dimensional characteristic information, reasonable process characteristics and unreasonable process characteristics.

[0033] In one practicable manner,

[0034] The step 3 comprises:

[0035] Step 31: Acquire and parse the mode switching instruction to obtain the desired switching mode corresponding to the current switching. When the desired switching mode is consistent with the current mode, determine that the switching instruction is invalid. Otherwise, switch the microgrid system to the desired switching mode.

[0036] Step 32: collecting switching data when the microgrid system switches to the to-be-switched mode, and obtaining a first smoothing characteristic of the microgrid system before switching and a second smoothing characteristic of the microgrid system after switching according to the switching data;

[0037] Step 33: parsing the switching data to obtain phase change information corresponding to the switching data in different switching unit time periods, establishing a phase change range model according to the first smooth feature and the second smooth feature, and mapping each phase change information to the phase change model to obtain a phase value corresponding to each switching unit time period;

[0038] Step 34: Establish a phase change line graph during the mode switching process based on the phase value corresponding to each switching unit time period, establish the smooth transition phase information of the microgrid system during the mode switching process based on the phase slope corresponding to each switching unit time, and establish the second phase-locked performance characteristics of the microgrid system based on the information fluctuation characteristics of the smooth transition phase information.

[0039] In one practicable manner,

[0040] The step 4 comprises:

[0041] Step 41: parsing the dynamic data, obtaining the voltage value corresponding to each operating unit time period of the microgrid system, establishing the output voltage amplitude of the microgrid system, and establishing the operating voltage characteristics of the microgrid system according to the output voltage amplitude;

[0042] Step 42: when the microgrid system does not perform mode switching within a historical time period, establishing overall phase-locking performance information of the microgrid system according to the operating voltage characteristic and the first phase-locking performance characteristic;

[0043] Step 43: Conversely, segmenting the first phase-locking performance characteristic according to the second phase-locking performance characteristic to obtain the corresponding mode phase-locking performance characteristics of the microgrid system in different modes, and dividing the operating voltage characteristic into corresponding mode voltage characteristics;

[0044] Step 44: Establishing the overall phase-locking performance characteristics of the microgrid system according to the mode phase-locking performance characteristics and the mode operation voltage characteristics.

[0045] In one practicable manner,

[0046] Also includes:

[0047] Analyzing the first phase-locking performance characteristic to obtain the stability of the microgrid system in the corresponding network mode;

[0048] When the stability is less than a preset stability threshold, determining that the first phase-locking performance of the microgrid system fails;

[0049] Analyze the second phase-locking performance characteristics to obtain a maximum fluctuation value of the microgrid system when switching modes;

[0050] When the maximum fluctuation value is greater than a preset fluctuation threshold, it is determined that the second phase locking performance of the microgrid system fails.

[0051] In one practicable manner,

[0052] Also includes:

[0053] Establishing the current distortion of the microgrid system during the mode switching process according to the second phase-locking performance characteristic;

[0054] Establishing a THD value of the microgrid system according to the current distortion;

[0055] When the THD value is outside a preset effective range, it is determined that the second phase-locking performance feature is invalid.

[0056] The present invention provides a phase-locked performance analysis system for a microgrid system, comprising:

[0057] A data analysis and rule establishment module, used to obtain dynamic data generated by a microgrid system, determine a network mode of the microgrid system according to the dynamic data, and obtain corresponding performance analysis rules according to the network mode;

[0058] A first phase-locking performance analysis module, configured to analyze the dynamic data using the performance analysis rule, and generate a first phase-locking performance characteristic of the microgrid system according to the analysis result;

[0059] A second phase-locking performance analysis module is used to obtain switching data generated by the microgrid system during the switching process when the microgrid system performs mode switching, determine the smooth transition phase information of the microgrid system according to the switching data, and determine the second phase-locking performance characteristics of the microgrid system;

[0060] The overall phase-locking performance generation module is used to establish the output voltage amplitude of the microgrid system according to the dynamic data, and generate the overall phase-locking performance information of the microgrid system in combination with the first phase-locking performance characteristic and the second phase-locking performance characteristic.

[0061] The beneficial effects that can be achieved by the present invention are as follows: in order to analyze the phase-locked performance of a microgrid system, firstly, the corresponding performance analysis rules are retrieved according to the network mode of the microgrid system, and then the dynamic data generated by the microgrid system is analyzed using the rules. If the microgrid system is in an island mode, the self-oscillation characteristics of the microgrid system are established according to the analysis results. If the microgrid system is in a grid-connected mode, the filtering characteristics of the microgrid system are established according to the analysis rules, thereby determining the first phase-locked performance characteristics of the microgrid system. If the microgrid system performs a mode switch, then the switching data is obtained during the mode switching process, and the smooth transition phase information of the microgrid system is analyzed according to the switching data, thereby determining the second phase-locked performance characteristics of the microgrid system, and further combining the output voltage amplitude of the microgrid system to determine the overall phase-locked performance information of the microgrid system. In this way, the overall phase-locked performance information can be used to intuitively understand the performance of the microgrid system under different network modes, as well as whether the transition phase is smooth during the mode switching process, so that users can understand the performance of the microgrid system at any time.

[0062] Other features and advantages of the present invention will be described in the following description, and partly become obvious from the description, or be understood by practicing the present invention. The purpose of the present invention and the structures specifically pointed out in the present application documents are realized and obtained.

[0063] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0064] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0065] Figure 1 A schematic diagram of a working process of a phase-locked performance analysis method for a microgrid system according to an embodiment of the present invention;

[0066] Figure 2 Schematic diagram of the composition of a phase-locked performance analysis system for a microgrid system according to an embodiment of the present invention. DETAILED DESCRIPTION

[0067] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0068] Example 1

[0069] This embodiment provides a phase-locking performance analysis method for a microgrid system. Figure 1 As shown, including:

[0070] Step 1: Acquire dynamic data generated by a microgrid system, determine a network mode of the microgrid system according to the dynamic data, and acquire corresponding performance analysis rules according to the network mode;

[0071] Step 2: Analyze the dynamic data using the performance analysis rule, and generate a first phase-locked performance characteristic of the microgrid system according to the analysis result;

[0072] Step 3: when the microgrid system performs mode switching, obtaining switching data generated by the microgrid system during the switching process, determining smooth transition phase information of the microgrid system according to the switching data, and determining a second phase-locked performance characteristic of the microgrid system;

[0073] Step 4: Establishing the output voltage amplitude of the microgrid system according to the dynamic data, and generating overall phase-locking performance information of the microgrid system by combining the first phase-locking performance characteristic and the second phase-locking performance characteristic.

[0074] In this example, dynamic data refers to data generated during the operation of the microgrid system;

[0075] In this example, the network modes include island mode and grid-connected mode;

[0076] In this example, the performance analysis rule represents a rule used to analyze the performance of the microgrid system;

[0077] In this example, there are two cases of mode switching: the first case is to switch the microgrid system from island mode to grid-connected mode; the second case is to switch the microgrid system from grid-connected mode to island mode;

[0078] In this example, the switching data refers to the data generated by the microgrid system during the mode switching process;

[0079] In this example, the smooth transition phase information represents the phase change information of the microgrid system during the mode switching process;

[0080] In this example, there are two types of first phase-locking performance characteristics. The first type: when the microgrid system is in an island mode, the first phase-locking performance represents the self-oscillation characteristics of the microgrid system. The second type: when the microgrid system is in a grid-connected mode, the first phase-locking performance represents the filtering characteristics of the microgrid system.

[0081] In this example, the second phase-locking performance characteristic represents the characteristic of smooth transition phase during mode switching of the microgrid system;

[0082] In this example, the output voltage amplitude represents the change in the voltage value output by the microgrid system during operation;

[0083] In this example, the overall phase-locking performance information includes the self-oscillation characteristics of the microgrid system when in the island mode, the filtering characteristics when in the grid-connected mode, and the smooth transition phase characteristics of the microgrid system during the mode switching process;

[0084] In this example, a phase-locked loop is set in the microgrid system.

[0085] The working principle and beneficial effects of the above technical solution are as follows: in order to analyze the phase-locked performance of the microgrid system, the corresponding performance analysis rules are first retrieved according to the network mode of the microgrid system, and then the dynamic data generated by the microgrid system is analyzed using the rules. If the microgrid system is in the island mode, the self-oscillation characteristics of the microgrid system are established according to the analysis results. If the microgrid system is in the grid-connected mode, the filtering characteristics of the microgrid system are established according to the analysis rules, thereby determining the first phase-locked performance characteristics of the microgrid system. If the microgrid system switches modes, the switching data is obtained during the mode switching process, and the smooth transition phase information of the microgrid system is analyzed according to the switching data, thereby determining the second phase-locked performance characteristics of the microgrid system, and further combining the output voltage amplitude of the microgrid system to determine the overall phase-locked performance information of the microgrid system. In this way, the overall phase-locked performance information can be used to intuitively understand the performance of the microgrid system under different network modes, as well as whether the transition phase is smooth during the mode switching process, so that users can understand the performance of the microgrid system at any time.

[0086] Example 2

[0087] Based on Example 1, the phase-locking performance analysis method for a microgrid system further includes:

[0088] The network mode includes an island mode and a grid-connected mode;

[0089] When the microgrid system is in the island mode, generating a self-oscillation characteristic of the microgrid system according to an analysis result of the performance analysis rule;

[0090] When the microgrid system is in the grid-connected mode, a filtering feature of the microgrid system is generated according to an analysis result of the performance analysis rule.

[0091] The working principle and beneficial effects of the above technical solution are as follows: when the microgrid system is in different network modes, different performance analyses are performed on it, thereby obtaining the characteristics of the microgrid system in different modes and achieving the purpose of classification analysis.

[0092] Example 3

[0093] Based on Example 2, the phase-locking performance analysis method for a microgrid system further includes:

[0094] When the microgrid system is in the island mode, using a PQ control method to collect dynamic data generated by the microgrid system;

[0095] When the microgrid system is in the grid-connected mode, using a V / f control method to collect dynamic data generated by the microgrid system;

[0096] When the microgrid system performs mode switching, the control mode of the microgrid system is switched, and when the control mode is switched, the input signal of the microgrid system is collected, and the switching data of the microgrid system is established according to the input signal.

[0097] In this example, the PQ control method indicates that the voltage and current of the microgrid system are measured, the active and reactive power of the microgrid system is calculated, and compared with the given active and reactive power, and then the output voltage and frequency of the microgrid system are controlled;

[0098] In this example, the V / f control method means that when the output of the microgrid system needs to be increased, the voltage and frequency of the microgrid system are increased; when the output of the microgrid system needs to be reduced, the power supply voltage and frequency are reduced;

[0099] In this example, the input signal represents a current change signal generated by the microgrid system during the mode switching process;

[0100] In this example, when the microgrid system switches from island mode to grid-connected mode, the microgrid system switches from PQ control mode to V / f control mode. When the microgrid system switches from grid-connected mode to island mode, the microgrid system switches from V / f control mode to PQ control mode.

[0101] The working principle and beneficial effects of the above technical solution are as follows: when the microgrid system is in different network modes, different control methods are used to collect its dynamic data; and when the microgrid system switches modes, its control method is switched accordingly, and switching data is collected during the switching process, so as to facilitate the subsequent analysis of the second phase-locked performance characteristics of the microgrid system.

[0102] Example 4

[0103] On the basis of Example 1, the phase-locking performance analysis method for a microgrid system, step 1, comprises:

[0104] Step 11: when the microgrid system is in a working state, collecting dynamic data generated by the microgrid system, and determining the output power of the microgrid system according to the dynamic data;

[0105] Step 12: When the output power is 0, it is determined that the microgrid system is in an island mode, otherwise it is determined that the microgrid system is in a grid-connected mode;

[0106] Step 13: Establishing a network control strategy for the microgrid system according to the dynamic data; when the microgrid system is in an island mode, establishing an island analysis rule in combination with a preset self-oscillation analysis method; when the microgrid system is in a grid-connected mode, establishing a grid-connected analysis rule in combination with a preset filtering analysis method;

[0107] Step 14: Determine the power capacity of the microgrid system according to the dynamic data, and obtain the performance analysis rule of the microgrid system in combination with the island analysis rule / the grid-connected analysis rule.

[0108] In this example, the network control strategy includes energy management, power scheduling, and frequency / voltage control;

[0109] In this example, the preset self-oscillation analysis method represents a spectrum analysis method, and its specific process is: converting the signal into the frequency domain to observe the distribution of frequency components;

[0110] In this example, the preset filtering method represents the spectrum analysis method, and its spike process is: in the frequency domain, a bandpass signal is obtained by removing the frequency components below or above a specific frequency range in the signal. Spectral analysis can help determine the signal frequency range that needs to be retained;

[0111] In this example, the power capacity represents the maximum and minimum output power of the microgrid system.

[0112] The working principle and beneficial effects of the above technical solution are as follows: when the microgrid system is in working state, the dynamic data and output power generated by it are collected, and then the current network mode of the microgrid system is determined according to the power value of the output power, so as to retrieve the corresponding analysis rules, and establish the performance analysis rules of the microgrid system in combination with the power capacity of the microgrid system, thereby achieving the purpose of classification analysis and classification rule establishment, and improving the effectiveness of the performance analysis rules.

[0113] Example 5

[0114] On the basis of Example 1, the phase-locking performance analysis method for a microgrid system, the step 2 comprises:

[0115] Step 21: obtaining a data structure of the microgrid system, inputting the dynamic data into the data structure to obtain a dynamic data structure, obtaining a plurality of segmented data contained in the dynamic data in the dynamic data structure, performing performance analysis on each segmented data using the performance analysis rule, and obtaining segmented performance corresponding to each segmented data;

[0116] Step 22: establishing a segmented process of the microgrid system according to each segmented data and the corresponding segmented performance, establishing a process relationship between different segmented processes based on the dynamic data structure, and establishing dynamic time points corresponding to different segmented processes based on the dynamic data structure, and establishing a total process of the microgrid system according to the dynamic time points;

[0117] Step 23: according to the analysis dimension corresponding to the analysis rule, the corresponding dimension sample parameter is retrieved, the process parameter of the microgrid system under the analysis dimension is established according to the overall process, and the dimension sample parameter is compared with the process parameter to obtain information about the same parameters and information about the different parameters;

[0118] Step 24: Establish dimensional characteristics of the microgrid system according to the dimensional sample parameters, establish reasonable process characteristics according to the same parameter information, establish unreasonable process information according to the different parameter information, and establish the first phase-locked performance characteristics of the microgrid system according to the dimensional characteristic information, reasonable process characteristics and unreasonable process characteristics.

[0119] In this example, the dynamic data structure represents a structure composed of several different data that can be generated by the microgrid system, including: array, linked list, stack, queue, tree, graph, hash table, etc., and the data structure can contain one or more of the above;

[0120] In this example, the segmented data packet represents a single data in the dynamic data;

[0121] In this example, the segment performance indicates the phase-locking performance corresponding to the segment data;

[0122] In this example, the segmented process represents the corresponding progress of the microgrid system presented by the segmented data at different times;

[0123] In this example, when the analysis rule is a self-oscillation analysis rule, the analysis dimension is a self-oscillation dimension, and when the analysis rule is a filtering analysis rule, the analysis dimension is a filtering dimension;

[0124] In this example, the dimension sample parameter represents the qualified parameter corresponding to the analysis dimension;

[0125] In this instance, dimension characteristics represent the characteristics presented by the analysis dimension;

[0126] In this example, the process reasonable features represent the features generated by the microgrid system during operation that are the same as the dimensional sample parameters;

[0127] In this example, the unreasonable process feature represents a feature generated during the operation of the microgrid system that is different from the dimensional sample parameters.

[0128] The working principle and beneficial effects of the above technical solution: In order to further analyze the phase-locked performance characteristics, the dynamic data is first divided into several segmented data according to the dynamic data structure of the microgrid system, and then the performance of the segmented data is analyzed by using the performance analysis rules, and the segmented process of the microgrid system is further established according to the segmented performance, and the process relationship between the segmented processes is derived according to the dynamic data structure, so as to establish the total process of the microgrid system according to the dynamic time points corresponding to different segmented processes, and further retrieve the dimensional sample parameters of the microgrid system under the analysis dimension, so as to establish the dimensional characteristics, reasonable process characteristics and unreasonable process characteristics of the microgrid system, and finally use these characteristics to establish the first phase-locked performance characteristics of the microgrid system, so as to effectively analyze the detailed characteristics of the microgrid system in different process segments, and also analyze the processes one by one according to the dimension in which they are located, thereby improving the effectiveness of the first phase-locked performance characteristics.

[0129] Example 6

[0130] On the basis of Example 1, the phase-locking performance analysis method for a microgrid system, step 3, comprises:

[0131] Step 31: Acquire and parse the mode switching instruction to obtain the desired switching mode corresponding to the current switching. When the desired switching mode is consistent with the current mode, determine that the switching instruction is invalid. Otherwise, switch the microgrid system to the desired switching mode.

[0132] Step 32: collecting switching data when the microgrid system switches to the to-be-switched mode, and obtaining a first smoothing characteristic of the microgrid system before switching and a second smoothing characteristic of the microgrid system after switching according to the switching data;

[0133] Step 33: parsing the switching data to obtain phase change information corresponding to the switching data in different switching unit time periods, establishing a phase change range model according to the first smooth feature and the second smooth feature, and mapping each phase change information to the phase change model to obtain a phase value corresponding to each switching unit time period;

[0134] Step 34: Establish a phase change line graph during the mode switching process based on the phase value corresponding to each switching unit time period, establish the smooth transition phase information of the microgrid system during the mode switching process based on the phase slope corresponding to each switching unit time, and establish the second phase-locked performance characteristics of the microgrid system based on the information fluctuation characteristics of the smooth transition phase information.

[0135] In this example, the mode switching instruction may be an instruction issued by a user, or an instruction generated automatically when the microgrid system fails, or an instruction generated automatically when the microgrid system returns to normal;

[0136] In this example, the first smoothing feature represents the phase smoothing feature of the microgrid system before switching, and the second smoothing feature represents the phase smoothing feature of the microgrid system after switching;

[0137] In this example, the switching unit time period is 0.5 seconds;

[0138] In this example, the phase slope represents the slope corresponding to one switching unit time in the phase change line graph.

[0139] The working principle and beneficial effects of the above technical solution: in order to further analyze the second phase-locked performance characteristics of the microgrid system, when the microgrid system receives a mode switching instruction, it first analyzes whether the mode switching instruction is valid. If the mode switching instruction is valid, the microgrid system performs mode switching, and collects the switching data generated during the switching process, as well as the first smoothing feature before the switching and the second smoothing feature after the switching during the switching process, thereby establishing a phase change range model, and further using the switching data to establish the corresponding change information of the microgrid system in different switching unit time periods, and using the set phase change range model to determine the phase value of each switching unit time period, thereby establishing a phase change line graph, and then determining the second phase-locked performance characteristics of the microgrid system by analyzing the slope in the line graph. In this way, the phase change information in the analysis process can be accurately obtained, achieving the purpose of rapid analysis and accurate analysis.

[0140] Example 7

[0141] On the basis of Example 1, the phase-locking performance analysis method for a microgrid system, step 4, comprises:

[0142] Step 41: parsing the dynamic data, obtaining the voltage value corresponding to each operating unit time period of the microgrid system, establishing the output voltage amplitude of the microgrid system, and establishing the operating voltage characteristics of the microgrid system according to the output voltage amplitude;

[0143] Step 42: when the microgrid system does not perform mode switching within a historical time period, establishing overall phase-locking performance information of the microgrid system according to the operating voltage characteristic and the first phase-locking performance characteristic;

[0144] Step 43: Conversely, segmenting the first phase-locking performance characteristic according to the second phase-locking performance characteristic to obtain the corresponding mode phase-locking performance characteristics of the microgrid system in different modes, and dividing the operating voltage characteristic into corresponding mode voltage characteristics;

[0145] Step 44: Establishing the overall phase-locking performance characteristics of the microgrid system according to the mode phase-locking performance characteristics and the mode operation voltage characteristics.

[0146] In this example, the operation unit time period may be 5 minutes;

[0147] In this example, the historical time period may be 24 hours.

[0148] The working principle and beneficial effects of the above technical solution: In order to further analyze the overall phase-locked performance information of the microgrid system, dynamic data is gathered to determine the voltage values ​​corresponding to the microgrid system in different operating unit time periods, thereby establishing the output voltage amplitude, and thus establishing the operating voltage characteristics of the microgrid system. If the microgrid system has not switched modes within the past 24 hours, then the overall phase-locked performance information of the microgrid system is established based on the operating voltage characteristics and the first phase-locked performance characteristics. If the microgrid system has switched modes within 24 hours, then the first phase-locked performance characteristics are segmented according to the second phase-locked performance characteristics, and the mode phase-locked performance characteristics and mode voltage characteristics under different modes are further determined, thereby establishing the overall phase-locked performance characteristics of the microgrid system. In this way, different performance analyses can be performed according to different situations, thereby improving the effectiveness and credibility of the overall phase-locked performance characteristics.

[0149] Example 8

[0150] Based on Example 1, the phase-locking performance analysis method for a microgrid system further includes:

[0151] Analyzing the first phase-locking performance characteristic to obtain the stability of the microgrid system in the corresponding network mode;

[0152] When the stability is less than a preset stability threshold, determining that the first phase-locking performance of the microgrid system fails;

[0153] Analyze the second phase-locking performance characteristics to obtain a maximum fluctuation value of the microgrid system when switching modes;

[0154] When the maximum fluctuation value is greater than a preset fluctuation threshold, it is determined that the second phase locking performance of the microgrid system fails.

[0155] In this example, the preset stability threshold is 85% of the saturation stability;

[0156] In this example, the preset fluctuation threshold represents the average value of the historical fluctuation value of the microgrid system in this network mode.

[0157] The working principle and beneficial effects of the above technical solution are as follows: by analyzing the stability to determine whether the first phase-locking performance fails and by analyzing the fluctuation value to determine whether the second phase-locking performance fails, it is convenient for users to understand the effectiveness of the microgrid system at any time.

[0158] Example 9

[0159] Based on Example 1, the phase-locking performance analysis method for a microgrid system further includes:

[0160] Establishing the current distortion of the microgrid system during the mode switching process according to the second phase-locking performance characteristic;

[0161] Establishing a THD value of the microgrid system according to the current distortion;

[0162] When the THD value is outside a preset effective range, it is determined that the second phase-locking performance feature is invalid.

[0163] In this example, the main reason is that the equipment in the microgrid system disturbs the voltage and current of the microgrid system, causing the current to contain harmonic components of multiple frequencies;

[0164] In this example, the THD value represents the ratio of the sum of all harmonic components in the current to the fundamental current, and is usually expressed as a percentage.

[0165] The working principle and beneficial effects of the above technical solution are as follows: by analyzing the current distortion to determine whether the second phase-locking performance fails, it is convenient for users to understand the effectiveness of the microgrid system at any time.

[0166] Example 10

[0167] This example provides a phase-locked performance analysis system for a microgrid system. Figure 2 As shown, including:

[0168] A data analysis and rule establishment module, used to obtain dynamic data generated by a microgrid system, determine a network mode of the microgrid system according to the dynamic data, and obtain corresponding performance analysis rules according to the network mode;

[0169] A first phase-locking performance analysis module, configured to analyze the dynamic data using the performance analysis rule, and generate a first phase-locking performance characteristic of the microgrid system according to the analysis result;

[0170] A second phase-locking performance analysis module is used to obtain switching data generated by the microgrid system during the switching process when the microgrid system performs mode switching, determine the smooth transition phase information of the microgrid system according to the switching data, and determine the second phase-locking performance characteristics of the microgrid system;

[0171] The overall phase-locking performance generation module is used to establish the output voltage amplitude of the microgrid system according to the dynamic data, and generate the overall phase-locking performance information of the microgrid system in combination with the first phase-locking performance characteristic and the second phase-locking performance characteristic.

[0172] In this example, dynamic data refers to data generated during the operation of the microgrid system;

[0173] In this example, the network modes include island mode and grid-connected mode;

[0174] In this example, the performance analysis rule represents a rule used to analyze the performance of the microgrid system;

[0175] In this example, there are two cases of mode switching: the first case is to switch the microgrid system from island mode to grid-connected mode; the second case is to switch the microgrid system from grid-connected mode to island mode;

[0176] In this example, the switching data refers to the data generated by the microgrid system during the mode switching process;

[0177] In this example, the smooth transition phase information represents the phase change information of the microgrid system during the mode switching process;

[0178] In this example, there are two types of first phase-locking performance characteristics. The first type: when the microgrid system is in an island mode, the first phase-locking performance represents the self-oscillation characteristics of the microgrid system. The second type: when the microgrid system is in a grid-connected mode, the first phase-locking performance represents the filtering characteristics of the microgrid system.

[0179] In this example, the second phase-locking performance characteristic represents the characteristic of smooth transition phase during mode switching of the microgrid system;

[0180] In this example, the output voltage amplitude represents the change in the voltage value output by the microgrid system during operation;

[0181] In this example, the overall phase-locking performance information includes the self-oscillation characteristics of the microgrid system when in the island mode, the filtering characteristics when in the grid-connected mode, and the smooth transition phase characteristics of the microgrid system during the mode switching process;

[0182] In this example, a phase-locked loop is set in the microgrid system.

[0183] The working principle and beneficial effects of the above technical solution are as follows: in order to analyze the phase-locked performance of the microgrid system, the corresponding performance analysis rules are first retrieved according to the network mode of the microgrid system, and then the dynamic data generated by the microgrid system is analyzed using the rules. If the microgrid system is in the island mode, the self-oscillation characteristics of the microgrid system are established according to the analysis results. If the microgrid system is in the grid-connected mode, the filtering characteristics of the microgrid system are established according to the analysis rules, thereby determining the first phase-locked performance characteristics of the microgrid system. If the microgrid system switches modes, the switching data is obtained during the mode switching process, and the smooth transition phase information of the microgrid system is analyzed according to the switching data, thereby determining the second phase-locked performance characteristics of the microgrid system, and further combining the output voltage amplitude of the microgrid system to determine the overall phase-locked performance information of the microgrid system. In this way, the overall phase-locked performance information can be used to intuitively understand the performance of the microgrid system under different network modes, as well as whether the transition phase is smooth during the mode switching process, so that users can understand the performance of the microgrid system at any time.

[0184] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A phase-locking performance analysis method for a microgrid system, characterized in that: include: Step 1: Acquire dynamic data generated by a microgrid system, determine a network mode of the microgrid system according to the dynamic data, and acquire corresponding performance analysis rules according to the network mode; Step 2: Analyze the dynamic data using the performance analysis rule, and generate a first phase-locked performance characteristic of the microgrid system according to the analysis result; Step 3: when the microgrid system performs mode switching, obtaining switching data generated by the microgrid system during the switching process, determining smooth transition phase information of the microgrid system according to the switching data, and determining a second phase-locked performance characteristic of the microgrid system; Step 4: Establishing the output voltage amplitude of the microgrid system according to the dynamic data, and generating overall phase-locking performance information of the microgrid system by combining the first phase-locking performance characteristic and the second phase-locking performance characteristic.

2. A phase-locked performance analysis method for a microgrid system according to claim 1, characterized in that: Also includes: The network mode includes an island mode and a grid-connected mode; When the microgrid system is in the island mode, generating a self-oscillation characteristic of the microgrid system according to an analysis result of the performance analysis rule; When the microgrid system is in the grid-connected mode, a filtering feature of the microgrid system is generated according to an analysis result of the performance analysis rule.

3. A phase-locked performance analysis method for a microgrid system as claimed in claim 2, characterized in that: Also includes: When the microgrid system is in the island mode, using a PQ control method to collect dynamic data generated by the microgrid system; When the microgrid system is in the grid-connected mode, using a V / f control method to collect dynamic data generated by the microgrid system; When the microgrid system performs mode switching, the control mode of the microgrid system is switched, and when the control mode is switched, the input signal of the microgrid system is collected, and the switching data of the microgrid system is established according to the input signal.

4. A phase-locked performance analysis method for a microgrid system as claimed in claim 1, characterized in that: The step 1 comprises: Step 11: when the microgrid system is in a working state, collecting dynamic data generated by the microgrid system, and determining the output power of the microgrid system according to the dynamic data; Step 12: When the output power is 0, it is determined that the microgrid system is in an island mode, otherwise it is determined that the microgrid system is in a grid-connected mode; Step 13: Establishing a network control strategy for the microgrid system according to the dynamic data; when the microgrid system is in an island mode, establishing an island analysis rule in combination with a preset self-oscillation analysis method; when the microgrid system is in a grid-connected mode, establishing a grid-connected analysis rule in combination with a preset filtering analysis method; Step 14: Determine the power capacity of the microgrid system according to the dynamic data, and obtain the performance analysis rule of the microgrid system in combination with the island analysis rule / the grid-connected analysis rule.

5. A phase-locked performance analysis method for a microgrid system according to claim 1, characterized in that: The step 4 comprises: Step 41: parsing the dynamic data, obtaining the voltage value corresponding to each operating unit time period of the microgrid system, establishing the output voltage amplitude of the microgrid system, and establishing the operating voltage characteristics of the microgrid system according to the output voltage amplitude; Step 42: when the microgrid system does not perform mode switching within a historical time period, establishing overall phase-locking performance information of the microgrid system according to the operating voltage characteristic and the first phase-locking performance characteristic; Step 43: Conversely, segmenting the first phase-locking performance characteristic according to the second phase-locking performance characteristic to obtain the corresponding mode phase-locking performance characteristics of the microgrid system in different modes, and dividing the operating voltage characteristic into corresponding mode voltage characteristics; Step 44: Establishing the overall phase-locking performance characteristics of the microgrid system according to the mode phase-locking performance characteristics and the mode operation voltage characteristics.

6. A phase-locked performance analysis method for a microgrid system as claimed in claim 1, characterized in that: Also includes: Analyzing the first phase-locking performance characteristic to obtain the stability of the microgrid system in the corresponding network mode; When the stability is less than a preset stability threshold, determining that the first phase-locking performance of the microgrid system fails; Analyze the second phase-locking performance characteristics to obtain a maximum fluctuation value of the microgrid system when switching modes; When the maximum fluctuation value is greater than a preset fluctuation threshold, it is determined that the second phase locking performance of the microgrid system fails.

7. A phase-locked performance analysis method for a microgrid system as claimed in claim 1, characterized in that: Also includes: Establishing the current distortion of the microgrid system during the mode switching process according to the second phase-locking performance characteristic; Establishing a THD value of the microgrid system according to the current distortion; When the THD value is outside a preset effective range, it is determined that the second phase-locking performance feature is invalid.

8. A phase-locked performance analysis system for a microgrid system, characterized in that: include: A data analysis and rule establishment module, used to obtain dynamic data generated by a microgrid system, determine a network mode of the microgrid system according to the dynamic data, and obtain corresponding performance analysis rules according to the network mode; A first phase-locking performance analysis module, configured to analyze the dynamic data using the performance analysis rule, and generate a first phase-locking performance characteristic of the microgrid system according to the analysis result; A second phase-locking performance analysis module is used to obtain switching data generated by the microgrid system during the switching process when the microgrid system performs mode switching, determine the smooth transition phase information of the microgrid system according to the switching data, and determine the second phase-locking performance characteristics of the microgrid system; The overall phase-locking performance generation module is used to establish the output voltage amplitude of the microgrid system according to the dynamic data, and generate the overall phase-locking performance information of the microgrid system in combination with the first phase-locking performance characteristic and the second phase-locking performance characteristic.

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