Distributed new energy equipment operation state evaluation method based on station line change relation

Abstract

The invention discloses a distributed new energy equipment operation state evaluation method based on a station line change relation. The method comprises the following steps: acquiring a time sequence load array of a plurality of power grid operation equipment; screening to-be-evaluated equipment from the plurality of pieces of power grid operation equipment; according to the time sequence load array of the to-be-evaluated device, obtaining the device bearable capacity of the to-be-evaluated device; acquiring an instant load array of new energy equipment when the new energy equipment is connected to the power grid operation equipment in real time; according to the instant load array of the new energy equipment, calculating a comprehensive load rate of a plurality of power grid operation equipment; evaluating the operation state of the new energy equipment after the new energy equipment is accessed to the power grid according to the comprehensive load rate of the plurality of power grid operation equipment and the bearable capacity of the equipment; according to the method, the load change of the power grid equipment after the new energy equipment is accessed is dynamically captured by combining the real-time instant load data of the new energy equipment and the time sequence historical load data of the power grid operation equipment.

Description

Technical Field

[0001] The present invention relates to new energy equipment evaluation, and in particular to a method for evaluating the operating status of distributed new energy equipment based on station-line-transformer relationship. Background Art

[0002] With the rapid development of new energy technologies, the large-scale access of distributed new energy power generation equipment such as wind power and solar power has brought unprecedented challenges to the stability and security of the power grid. The power output of new energy equipment has significant volatility and dispersion. During its access to the power grid, it is necessary to strictly evaluate the operating status of the access point and its upper-level equipment to ensure that the equipment will not fail due to excessive load or cause safety problems such as reverse power transmission. This complexity requires an evaluation method that can adapt to the real-time changes of dynamic loads and accurately predict future load trends.

[0003] At present, the existing technology mainly estimates the maximum load capacity of the equipment and judges the feasibility of the access of new energy equipment through static verification methods based on the rated capacity of the equipment. For example, patent document CN115796721A discloses a method and system for intelligent perception of the operating status of a distribution network with a high proportion of new energy access. This method can comprehensively perceive the operating status of the distribution network by optimizing the indicator weights of the traditional single subjective and objective weighting methods, and provides certain support for power grid management. However, this method does not involve the real-time dynamic load evaluation of the power grid operating equipment after the access of new energy equipment, and lacks the ability to comprehensively evaluate the operating status of the power grid after the access of new energy from the time and space dimensions.

[0004] In view of the above problems, there is an urgent need for a method that can combine the time series and spatial load data of power grid operating equipment to comprehensively evaluate the power grid operation status after the access of new energy equipment from a dynamic and multi-dimensional perspective, so as to improve the evaluation accuracy and safety. Summary of the invention

[0005] In view of the deficiencies in the prior art, the present invention provides a method for evaluating the operating status of distributed new energy equipment based on station-line-transformer relationship, which solves the technical problems raised in the background technology by combining the timing and spatial load data of power grid operating equipment.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions:

[0007] A method for evaluating the operating status of distributed new energy equipment based on station-line-transformer relationship, characterized by comprising:

[0008] S1. Obtaining a time series load array of several power grid operation equipment;

[0009] S2. Select the equipment to be evaluated from a number of power grid operation equipment;

[0010] S3, obtaining the device load capacity of the device to be evaluated from the time series load array of the device to be evaluated;

[0011] S4. Real-time acquisition of the instantaneous load array of the new energy device when it is connected to the power grid operation device; wherein the instantaneous load array includes: the actual reverse power after the new energy device is connected to the device to be evaluated, and the actual power generation fluctuation amplitude;

[0012] S5. Calculate the comprehensive load rate of several power grid operation equipment based on the instantaneous load array of the new energy equipment;

[0013] S6. Evaluate the operating status of new energy equipment after it is connected to the grid based on the comprehensive load rate of several grid operating equipment and the equipment's carrying capacity.

[0014] In some of the embodiments, obtaining a time series load array of a plurality of power grid operation devices includes:

[0015] S1-1. Define a time window of fixed length, and collect historical single-point loads of several power grid operating devices within the time window;

[0016] S1-2, sliding the time window on the time axis according to a predetermined step length, collecting historical single-point loads of several power grid operating devices window by window, and recording the number of collections until a preset total sliding distance is reached;

[0017] S1-3, clean the collected historical single-point load data, remove abnormal load data, and obtain the cleaned historical single-point load;

[0018] S1-4. The historical single-point loads after cleaning of all windows are summarized according to the number of collection times during the total sliding distance to generate the time series load array; wherein each array element of the time series load array includes the collection timestamp up to the current load of the equipment, the transformer load, the line load and the main transformer load.

[0019] In some of the embodiments, screening the devices to be evaluated from among the plurality of power grid operation devices includes:

[0020] S2-1, extracting the acquisition timestamp of each running device in the timing load array;

[0021] S2-2, marking the initial acquisition timestamp and the final acquisition timestamp of each running device extracted;

[0022] S2-3, calculating the load duration between the initial collection timestamp and the final collection timestamp;

[0023] S2-4. Screen the operating equipment whose load duration covers the total sliding distance as the equipment to be evaluated.

[0024] In some of the embodiments, obtaining the device load capacity of the device to be evaluated from the time series load array of the device to be evaluated includes:

[0025] S3-1. Calculate the maximum estimated reverse load rate of the device to be evaluated based on the time series load array:

[0026] S3-2. Calculate the minimum estimated forward load rate of the device to be evaluated based on the time series load array:

[0027] S3-3. Calculate the equipment's carrying capacity based on the maximum estimated reverse load rate.

[0028] In some embodiments, calculating the maximum estimated reverse load rate of the device to be evaluated includes:

[0029] S3-1-1, extracting the current load of each device to be evaluated and the rated capacity of the device from the time series load array

[0030] S3-1-2. Preset the rated reverse power of the new energy equipment when it is connected;

[0031] S3-1-3. Preset the fluctuation range of the power generated by new energy equipment after it is connected to the power generation system;

[0032] S3-1-4. Calculate the maximum estimated reverse load rate of the device to be evaluated based on the current load of the device to be evaluated, the rated capacity of the device, the rated reverse power of the new energy device, and the fluctuation range of the new energy power generation power;

[0033] The calculation expression of the maximum estimated reverse load rate of the device to be evaluated is:

[0034]

[0035] Among them, η max It indicates the maximum estimated reverse load rate, which means the ratio of the maximum reverse power of the device to be evaluated after connecting to the new energy device to the rated capacity of the device to be evaluated; P L Indicates the current load of the equipment, P G Indicates the rated reverse power of the preset new energy equipment, ΔP G Indicates the fluctuation range of the preset renewable energy power generation power, P R Indicates the rated capacity of the device.

[0036] In some embodiments, calculating the minimum estimated forward load rate of the device to be evaluated includes:

[0037] S3-2-1. In the time series load array, find and extract the lowest load power of the device to be evaluated along the time axis;

[0038] S3-2-2. Preset the estimated value of the load growth of new energy equipment after it is connected to power generation;

[0039] S3-2-1. Calculate the minimum estimated forward load rate of the equipment to be evaluated based on the minimum load power, load growth estimate and equipment rated capacity;

[0040] The calculation expression of the minimum estimated forward load rate of the device to be evaluated is:

[0041]

[0042] Among them, η min It represents the minimum estimated forward load rate, which is the ratio of the load of the equipment to be evaluated under the lowest load state to the rated capacity of the equipment; P L,min Indicates the minimum load power extracted, ΔP L Indicates the preset load growth estimate.

[0043] In some of these embodiments, the computing device may host capacity including:

[0044] S3-3-1. Predefine the safety margin coefficient and load reduction factor of the equipment to be evaluated;

[0045] S3-3-1. Calculate the equipment's carrying capacity based on the equipment's rated capacity, the calculated maximum estimated reverse load rate, the preset rated reverse power of the new energy equipment, the safety margin factor of the equipment to be evaluated, and the load reduction factor;

[0046] The calculation expression of the carrying capacity of the equipment is:

[0047] C A =P R ×α×(1-η max )×(1-η min )-β×P G ;

[0048] Among them, C A It represents the carrying capacity of the equipment, α represents the safety margin coefficient of the equipment to be evaluated, which is used to reflect the operating safety margin of the equipment, and β represents the load reduction factor, which takes into account the reduction of the carrying capacity caused by the power fluctuation of the new energy equipment after it is connected.

[0049] In some embodiments, calculating the comprehensive load rate of a plurality of power grid operation devices includes:

[0050] S5-1, extracting the actual reverse power of the new energy equipment access point and the actual power generation fluctuation amplitude of the currently connected new energy equipment from the instantaneous load array;

[0051] S5-2, calculating the actual reverse load rate based on the extracted actual reverse power and the actual power generation fluctuation amplitude;

[0052] The calculation expression of the actual reverse load rate is:

[0053]

[0054] Among them, η rev Indicates the actual reverse load rate, P G,actual Indicates the actual reverse power of new energy equipment, ΔP G,actual Indicates the fluctuation range of the actual power generation of new energy equipment;

[0055] S5-3, obtaining the rated reverse power of the new energy equipment to be connected and the number of the new energy equipment to be connected;

[0056] S5-4. Calculate the in-transit capacity of the equipment to be evaluated based on the rated reverse power of the new energy equipment to be connected and the number of new energy equipment to be connected;

[0057] The calculation expression of the in-transit capacity of the equipment to be evaluated is:

[0058]

[0059] Among them, C in represents the capacity in transit, n represents the number of waiting accesses, P G,new,i Indicates the rated reverse power of the i-th new energy device to be connected;

[0060] S5-5, calculating the comprehensive load rate of the device to be evaluated based on the actual reverse load rate, the in-transit capacity, the current load of the device after the new energy device is connected, and the rated capacity of the device;

[0061] The calculation expression of the comprehensive load rate of the equipment to be evaluated is:

[0062]

[0063] Among them, η total Indicates the overall load factor.

[0064] In some of the embodiments, the evaluation expression of the operating state of the new energy equipment after being connected to the power grid is:

[0065]

[0066] Among them, S status Indicates the running status.

[0067] The present invention provides a method for evaluating the operating status of distributed new energy equipment based on station-line-transformer relationship, which has the following features:

[0068] Beneficial effects:

[0069] By combining the real-time instantaneous load data of new energy equipment (such as actual reverse power and power generation fluctuation amplitude) with the time-series historical load data of power grid operating equipment, the present invention can dynamically capture the load changes of power grid equipment after the new energy equipment is connected, realize accurate evaluation of power grid equipment under real-time load conditions, and effectively improve the ability to predict the operating status of new energy equipment after connection.

[0070] Furthermore, the present invention comprehensively evaluates the operating status from the time and space dimensions. By combining the time series load array and instantaneous load array (station-line transformation relationship) of the power grid operating equipment, it can comprehensively reflect the operating status of the equipment under the influence of historical load conditions and new energy access points from a dynamic perspective. It can not only accurately evaluate the current load pressure, but also predict the possible future load risks of the equipment through the in-transit capacity, thereby ensuring the safety and stability of the power grid operation and providing a basis for feasibility judgment of new energy access. BRIEF DESCRIPTION OF THE DRAWINGS

[0071] Figure 1 It is a flow chart of a method for evaluating the operating status of distributed new energy equipment based on station-line-transformer relationship of the present invention;

[0072] Figure 2 A schematic diagram of the generation process of the timing load array of the present invention;

[0073] Figure 3 The figure is a schematic diagram of the evaluation process of the comprehensive load rate according to the present invention. DETAILED DESCRIPTION

[0074] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0075] Example 1: See Figure 1-Figure 3 The present invention provides a method for evaluating the operating status of distributed new energy equipment based on station-line-transformer relationship, comprising the following steps:

[0076] S1. Obtaining a time series load array of several power grid operation equipment;

[0077] Among them, several power grid operation devices include related equipment operating in the power grid, such as transformers directly at the user end, main transformers located at the top of the power grid supply, and lines between the main transformers and transformers; the time series load array is a two-dimensional array, and its row array is the historical single-point load collected and arranged according to the time series rules for each power grid operation device; and several power grid operation devices can be aligned in an up-down alignment method according to the device collection number or the device independent number to construct a time series load array similar to a two-dimensional matrix; that is, the row vector is the historical single-point load of each power grid operation device arranged in time series, and the column vector is the historical single-point load of different power grid operation devices with the same collection timestamp.

[0078] In this embodiment, step S1 specifically includes:

[0079] S1-1. Define a time window of fixed length, and collect historical single-point loads of several power grid operating devices within the time window;

[0080] S1-2, sliding the time window on the time axis according to a predetermined step length, collecting historical single-point loads of several power grid operating devices window by window, and recording the number of collections until a preset total sliding distance is reached;

[0081] S1-3. Clean the collected historical single-point load data, remove abnormal load data (such as holiday data or sudden change values), and obtain the cleaned historical single-point load;

[0082] S1-4. The historical single-point loads after cleaning of all windows are summarized according to the number of collection times during the total sliding distance to generate the time series load array; wherein each array element of the time series load array includes the collection timestamp up to the current load of the equipment, the transformer load, the line load and the main transformer load.

[0083] This embodiment defines a fixed time window and sliding step size to collect the historical single-point load of the power grid equipment window by window, ensuring that the data collection can cover the load changes of the equipment and has temporal continuity. Furthermore, the cleaned data is aggregated to form a time series load array, which can reflect the load status of the power grid equipment at different time nodes, covering the load information of different equipment such as transformers, lines and main transformers.

[0084] See also Figure 1 , the evaluation method further comprises:

[0085] S2. Select the equipment to be evaluated from a number of power grid operation equipment;

[0086] In this embodiment, step S2 specifically includes:

[0087] S2-1, extracting the acquisition timestamp of each running device in the timing load array;

[0088] S2-2, marking the initial acquisition timestamp and the final acquisition timestamp of each running device extracted;

[0089] S2-3, calculating the load duration between the initial collection timestamp and the final collection timestamp;

[0090] S2-4. Screen the operating equipment whose load duration covers the total sliding distance as the equipment to be evaluated.

[0091] This embodiment can accurately locate the load data of each device at different time nodes by extracting the collection timestamp of each power grid operating device from the time series load array. By marking the initial collection timestamp and the terminal collection timestamp of each device and calculating the load duration, the collection range of the device load data can be clarified. In addition, by screening the devices whose load duration covers the total sliding distance as the devices to be evaluated, it is ensured that the evaluated devices have a sufficient time span and can fully reflect the load changes of the devices in different time periods. This screening process avoids evaluation errors caused by insufficient or discontinuous load data.

[0092] See also Figure 1 , the evaluation method further comprises:

[0093] S3, obtaining the device load capacity of the device to be evaluated from the time series load array of the device to be evaluated;

[0094] In this embodiment, step S3 specifically includes:

[0095] S3-1. Calculate the maximum estimated reverse load rate of the device to be evaluated based on the time series load array:

[0096] S3-2. Calculate the minimum estimated forward load rate of the device to be evaluated based on the time series load array:

[0097] S3-3. Calculate the equipment's carrying capacity based on the maximum estimated reverse load rate.

[0098] Furthermore, in this embodiment,

[0099] The step S3-1 specifically includes:

[0100] S3-1-1, extracting the current load of each device to be evaluated and the rated capacity of the device from the time series load array

[0101] S3-1-2. Preset the rated reverse power of the new energy equipment when it is connected;

[0102] S3-1-3. Preset the fluctuation range of the power generated by new energy equipment after it is connected to the power generation system;

[0103] S3-1-4. Calculate the maximum estimated reverse load rate of the device to be evaluated based on the current load of the device to be evaluated, the rated capacity of the device, the rated reverse power of the new energy device, and the fluctuation range of the new energy power generation power;

[0104] The calculation expression of the maximum estimated reverse load rate of the device to be evaluated is:

[0105]

[0106] Among them, η max It indicates the maximum estimated reverse load rate, which means the ratio of the maximum reverse power of the device to be evaluated after connecting to the new energy device to the rated capacity of the device to be evaluated; P L Indicates the current load of the equipment, P G Indicates the rated reverse power of the preset new energy equipment, ΔP G Indicates the fluctuation range of the preset renewable energy power generation power, P R Indicates the rated capacity of the equipment;

[0107] The maximum estimated reverse load rate of this embodiment takes into account the fluctuation characteristics of the new energy power generation power, and pre-introduces the fluctuation amplitude parameter of the new energy power generation power, thereby avoiding an overly idealized evaluation of the maximum estimated reverse load rate; it is suitable for scenarios with new energy equipment with large volatility. By calculating the maximum estimated reverse load rate of the device to be evaluated, an in-depth analysis of the load bearing capacity of the device is provided. By extracting the current load and rated capacity of the device from the time series load array, and combining the preset rated reverse power of the new energy device and the fluctuation amplitude of the new energy power generation power, it is possible to more accurately estimate the load changes that the device may face after connecting to the new energy, especially the impact when the new energy device generates reverse power. Among them, the fluctuation amplitude parameter of the new energy power generation power introduced in advance avoids the idealized calculation of the maximum reverse load rate, making the evaluation more in line with the actual application scenario, and is especially suitable for new energy equipment with large volatility, such as wind power and photovoltaic power generation.

[0108] The step S3-2 specifically includes:

[0109] S3-2-1. In the time series load array, find and extract the lowest load power of the device to be evaluated along the time axis;

[0110] S3-2-2. Preset the estimated value of the load growth of new energy equipment after it is connected to power generation;

[0111] S3-2-1. Calculate the minimum estimated forward load rate of the equipment to be evaluated based on the minimum load power, load growth estimate and equipment rated capacity;

[0112] The calculation expression of the minimum estimated forward load rate of the device to be evaluated is:

[0113]

[0114] Among them, η min It represents the minimum estimated forward load rate, which is the ratio of the load of the equipment to be evaluated under the lowest load state to the rated capacity of the equipment; P L,min Indicates the minimum load power extracted, ΔP L Indicates the preset load growth estimate.

[0115] This embodiment provides an evaluation of the load bearing capacity of the device under the minimum load state by calculating the minimum estimated forward load rate of the device to be evaluated. First, by extracting the minimum load power of the device along the time axis from the time series load array, a basis is provided for evaluating the load state of the device under the most unfavorable operating conditions. Combined with the preset load growth estimate, the load growth after the access of the new energy device is further predicted to ensure that the device can cope with the future load growth. By calculating the ratio of the load of the device under the minimum load state to the rated capacity of the device, the minimum carrying capacity of the device in the face of load growth can be accurately evaluated. Not only the current load condition of the equipment is taken into account, but also the load increase that may occur after the access of new energy is taken into account, ensuring that the equipment can still operate stably under the background of load growth. This embodiment is to identify potential load problems in advance by reasonably estimating the load growth and combining the minimum load state, ensuring that the power grid equipment can maintain a good operating state in the face of load changes, and avoiding equipment overload caused by sudden load increase.

[0116] The step S3-3 specifically includes:

[0117] S3-3-1. Predefine the safety margin coefficient and load reduction factor of the equipment to be evaluated;

[0118] S3-3-1. Calculate the equipment's carrying capacity based on the equipment's rated capacity, the calculated maximum estimated reverse load rate, the preset rated reverse power of the new energy equipment, the safety margin factor of the equipment to be evaluated, and the load reduction factor;

[0119] The calculation expression of the carrying capacity of the equipment is:

[0120] C A =P R ×α×(1-η max )×(1-η min )-β×P G ;

[0121] Among them, C AIt represents the carrying capacity of the equipment, α represents the safety margin coefficient of the equipment to be evaluated, which is used to reflect the operating safety margin of the equipment, and β represents the load reduction factor, which takes into account the reduction of the carrying capacity caused by the power fluctuation of the new energy equipment after it is connected.

[0122] This embodiment provides a comprehensive load bearing capacity assessment for power grid equipment by calculating the load-bearing capacity of the equipment. First, the predefined safety margin coefficient and load reduction factor ensure that the equipment can maintain safe operation in the face of possible load fluctuations and reverse loads. The safety margin coefficient reflects the operating safety margin of the equipment, that is, when the load is close to its maximum load capacity, the equipment can still withstand a certain degree of load fluctuation without failure; and the load reduction factor takes into account the power fluctuations that may be caused by new energy equipment after connection, especially when the output of new energy equipment is unstable, how to reduce the pressure on the equipment load.

[0123] By comprehensively considering the rated capacity of the equipment, the maximum estimated reverse load rate, the preset rated reverse power of the new energy equipment, and the aforementioned safety margin coefficient and load reduction factor, the loadable capacity of the equipment can be calculated. This embodiment can identify in advance whether the equipment is at the limit of its load capacity when the new energy equipment is connected, thereby ensuring the safe and stable operation of the power grid after the new energy equipment is connected.

[0124] See also Figure 1 , the evaluation method further comprises:

[0125] S4. Real-time acquisition of the instantaneous load array of the new energy device when it is connected to the power grid operation device; wherein the instantaneous load array includes: the actual reverse power after the new energy device is connected to the device to be evaluated, and the actual power generation fluctuation amplitude;

[0126] Similarly, the instantaneous load array can be defined as a two-dimensional array or a two-dimensional matrix, whose row data or row vectors are the instantaneous parameters of each new energy device when it is connected, such as actual reverse power, actual power generation fluctuation amplitude, access point type, etc.; and the column vectors are different new energy devices or different batches of new energy devices in a batch when connected.

[0127] See also Figure 1 , the evaluation method further comprises:

[0128] S5. Calculate the comprehensive load rate of several power grid operation equipment based on the instantaneous load array of the new energy equipment;

[0129] In this embodiment, step S5 specifically includes:

[0130] 8. A method for evaluating the operating status of distributed new energy equipment based on station-line-transformer relationship according to claim 1, characterized in that the comprehensive load rate of several power grid operating equipment is calculated, including:

[0131] S5-1, extracting the actual reverse power of the new energy equipment access point and the actual power generation fluctuation amplitude of the currently connected new energy equipment from the instantaneous load array;

[0132] S5-2, calculating the actual reverse load rate based on the extracted actual reverse power and the actual power generation fluctuation amplitude;

[0133] The calculation expression of the actual reverse load rate is:

[0134]

[0135] Among them, η rev Indicates the actual reverse load rate, P G,actual Indicates the actual reverse power of new energy equipment, ΔP G,actual Indicates the fluctuation range of the actual power generation of new energy equipment;

[0136] Specifically, the actual reverse load rate reflects the reverse load impact of new energy equipment on grid operation equipment. The higher the actual reverse load rate, the more the load of grid operation equipment is affected by the reverse power of new energy equipment, which may cause equipment overload or reverse power transmission risks.

[0137] S5-3, obtaining the rated reverse power of the new energy equipment to be connected and the number of the new energy equipment to be connected;

[0138] S5-4. Calculate the in-transit capacity of the equipment to be evaluated based on the rated reverse power of the new energy equipment to be connected and the number of new energy equipment to be connected;

[0139] The calculation expression of the in-transit capacity of the equipment to be evaluated is:

[0140]

[0141] Among them, C in represents the capacity in transit, n represents the number of waiting accesses, P G,new,i It represents the rated reverse power of the i-th new energy device to be connected, that is, the maximum reverse power of each device to be connected, which represents its expected reverse power after connection;

[0142] S5-5, calculating the comprehensive load rate of the device to be evaluated based on the actual reverse load rate, the in-transit capacity, the current load of the device after the new energy device is connected, and the rated capacity of the device;

[0143] The calculation expression of the comprehensive load rate of the equipment to be evaluated is:

[0144]

[0145] Among them, η total Indicates the overall load factor.

[0146] The actual reverse load rate is an important component of the comprehensive load rate, reflecting the impact of new energy equipment on the operation of the equipment to be evaluated after it is connected; the comprehensive load rate combines the actual reverse load rate, the current load of the equipment and the in-transit capacity to provide the overall load status of the equipment to be evaluated.

[0147] In this embodiment, firstly, the actual reverse power and power generation fluctuation amplitude of the new energy equipment access point are extracted from the instantaneous load array, and the actual reverse load rate is calculated by combining these two important factors.

[0148] Next, by obtaining the rated reverse power of the new energy equipment to be connected and the number of new energy equipment to be connected, the in-transit capacity of the equipment is calculated, that is, the total capacity of the new energy equipment that has not yet been connected but is expected to be connected to the power grid, to ensure the comprehensiveness of the equipment load assessment.

[0149] Finally, the actual reverse load rate, in-transit capacity, current load of the equipment and rated capacity of the equipment are combined to calculate the comprehensive load rate of the equipment to be evaluated. The comprehensive load rate not only reflects the current load of the equipment, but also takes into account the load that may be connected in the future.

[0150] See also Figure 1 , the evaluation method further comprises:

[0151] S6. Evaluate the operating status of new energy equipment after it is connected to the grid based on the comprehensive load rate of several grid operating equipment and the equipment's carrying capacity.

[0152] This embodiment provides a method for evaluating the operating status of distributed new energy equipment based on the station-line-transformer relationship, which aims to comprehensively evaluate the load status of the power grid equipment after connecting to the new energy equipment by acquiring the time-series load data of the power grid operating equipment in real time and combining the instantaneous load parameters of the new energy equipment. By constructing a time-series load array in the form of a two-dimensional matrix, the historical load data of each device can be accurately recorded. By screening the equipment to be evaluated and calculating its loadable capacity, it is possible to evaluate whether the equipment can carry the additional load on the basis of ensuring the safety of the equipment operation.

[0153] After the new energy equipment is connected to the power grid, its instantaneous load data, especially the actual reverse power and power generation fluctuation amplitude, is obtained in real time. Combined with the comprehensive load rate and carrying capacity of the power grid equipment, it is possible to accurately evaluate the operating status of the power grid equipment and promptly discover possible overload or instability problems.

[0154] Embodiment 2: The technical solution of Embodiment 2 is different from that of Embodiment 1 in that it discloses an evaluation method for the operating status of new energy equipment after it is connected to the power grid. The evaluation method is expressed as follows:

[0155]

[0156] Among them, S status Indicates the operating status;

[0157] Specifically, the operation status evaluation logic is:

[0158] Normal: When the combined load rate is lower than 0.8 and the device's load-bearing capacity is greater than the device's current load, the device is in a safe load state.

[0159] Critical: When the combined load factor is close to 1 and the device load is close to the device's carrying capacity, the device is in a critical state.

[0160] Overload: When the combined load rate exceeds 1, or the equipment load exceeds the equipment's carrying capacity, the equipment is in an overload state, posing a safety risk.

[0161] The equipment's load-bearing capacity is the equipment's maximum load capacity, which together with the comprehensive load rate determines the equipment's operating status.

[0162] The comprehensive load factor evaluates the load status in real time by combining the current load and in-transit capacity of the equipment, while the equipment's loadable capacity ensures that the equipment will not be overloaded when faced with an increase in load.

[0163] The operating status evaluates whether the equipment is in a safe state, critical state or overloaded state by comprehensively considering the equipment's load-bearing capacity and comprehensive load rate.

[0164] This embodiment provides a comprehensive load status monitoring mechanism for power grid equipment by evaluating the operating status of new energy equipment after it is connected to the power grid. The evaluation of the operating status is based on the comprehensive load rate and load-bearing capacity of the equipment, which jointly determine the stability and safety of the equipment. The comprehensive load rate evaluates the load pressure of the equipment by combining the current load and the load to be connected in real time; and the load-bearing capacity provides the maximum load capacity that the equipment can withstand, ensuring that the equipment can still operate safely when the load increases. Through this evaluation method, the load status of power grid equipment can be discovered in a timely manner, especially after the connection of new energy equipment, providing accurate risk prediction, and helping power grid operators make effective load optimization and safety management decisions.

[0165] The above embodiments can be implemented in whole or in part by software, hardware, firmware or other arbitrary combinations. When implemented using software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions can be transmitted from a website site, computer, server or data center by wired (e.g., infrared, wireless, microwave, etc.) mode to another website site, computer, server or data center.

[0166] The computer-readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server or a data center that includes one or more available media. The available medium may be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium. The semiconductor medium may be a solid-state hard disk.

[0167] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division of a waterway underwater terrain change analysis system and method. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0168] The above description is only a specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application.

Claims

1. A method for evaluating the operating status of distributed new energy equipment based on station-line-transformer relationship, characterized in that: include: S1. Obtaining a time series load array of several power grid operation equipment; S2. Select the equipment to be evaluated from a number of power grid operation equipment; S3, obtaining the device load capacity of the device to be evaluated from the time series load array of the device to be evaluated; S4. Real-time acquisition of the instantaneous load array of the new energy device when it is connected to the power grid operation device; wherein the instantaneous load array includes: the actual reverse power after the new energy device is connected to the device to be evaluated, and the actual power generation fluctuation amplitude; S5. Calculate the comprehensive load rate of several power grid operation equipment based on the instantaneous load array of the new energy equipment; S6. Evaluate the operating status of new energy equipment after it is connected to the grid based on the comprehensive load rate of several grid operating equipment and the equipment's carrying capacity.

2. According to claim 1, a method for evaluating the operating status of distributed new energy equipment based on station-line-transformer relationship is characterized in that: Get the time series load array of several power grid operation equipment, including: S1-1. Define a time window of fixed length, and collect historical single-point loads of several power grid operating devices within the time window; S1-2, sliding the time window on the time axis according to a predetermined step length, collecting historical single-point loads of several power grid operating devices window by window, and recording the number of collections until a preset total sliding distance is reached; S1-3, clean the collected historical single-point load data, remove abnormal load data, and obtain the cleaned historical single-point load; S1-4. The historical single-point loads after cleaning of all windows are summarized according to the number of collection times during the total sliding distance to generate the time series load array; wherein each array element of the time series load array includes the collection timestamp up to the current load of the equipment, the transformer load, the line load and the main transformer load.

3. According to claim 1, a method for evaluating the operating status of distributed new energy equipment based on station-line-transformer relationship is characterized in that: Among several power grid operation equipment, select the equipment to be evaluated, including: S2-1, extracting the acquisition timestamp of each running device in the timing load array; S2-2, marking the initial acquisition timestamp and the final acquisition timestamp of each running device extracted; S2-3, calculating the load duration between the initial collection timestamp and the final collection timestamp; S2-4. Screen the operating equipment whose load duration covers the total sliding distance as the equipment to be evaluated.

4. According to claim 1, a method for evaluating the operating status of distributed new energy equipment based on station-line-transformer relationship is characterized in that: The device load capacity of the device to be evaluated is obtained from the time series load array of the device to be evaluated, including: S3-1. Calculate the maximum estimated reverse load rate of the device to be evaluated based on the time series load array: S3-2. Calculate the minimum estimated forward load rate of the device to be evaluated based on the time series load array: S3-3. Calculate the equipment's carrying capacity based on the maximum estimated reverse load rate.

5. The method for evaluating the operating status of distributed new energy equipment based on station-line-transformer relationship according to claim 3 is characterized in that: Calculate the maximum estimated reverse load factor for the equipment being evaluated, including: S3-1-1, extracting the current load of each device to be evaluated and the rated capacity of the device from the time series load array; S3-1-2. Preset the rated reverse power of the new energy equipment when it is connected; S3-1-3. Preset the fluctuation range of the power generated by new energy equipment after it is connected to the power generation system; S3-1-4. Calculate the maximum estimated reverse load rate of the device to be evaluated based on the current load of the device to be evaluated, the rated capacity of the device, the rated reverse power of the new energy device, and the fluctuation range of the new energy power generation power; The calculation expression of the maximum estimated reverse load rate of the device to be evaluated is: Among them, η max It indicates the maximum estimated reverse load rate, which means the ratio of the maximum reverse power of the device to be evaluated after connecting to the new energy device to the rated capacity of the device to be evaluated; P L Indicates the current load of the equipment, P G Indicates the rated reverse power of the preset new energy equipment, ΔP G Indicates the fluctuation range of the preset renewable energy power generation power, P R Indicates the rated capacity of the device.

6. The method for evaluating the operating status of distributed new energy equipment based on station-line-transformer relationship according to claim 3 is characterized in that: Calculate the minimum estimated forward load factor for the equipment being evaluated, including: S3-2-1. In the time series load array, find and extract the lowest load power of the device to be evaluated along the time axis; S3-2-2. Preset the estimated value of the load growth of new energy equipment after it is connected to power generation; S3-2-1. Calculate the minimum estimated forward load rate of the equipment to be evaluated based on the minimum load power, load growth estimate and equipment rated capacity; The calculation expression of the minimum estimated forward load rate of the device to be evaluated is: Among them, η min It represents the minimum estimated forward load rate, which is the ratio of the load of the equipment to be evaluated under the lowest load state to the rated capacity of the equipment; P L,min Indicates the minimum load power extracted, ΔP L Indicates the preset load growth estimate.

7. A method for evaluating the operating status of distributed new energy equipment based on station-line-transformer relationship according to claim 3, characterized in that: Computing equipment can carry capacity, including: S3-3-1. Predefine the safety margin coefficient and load reduction factor of the equipment to be evaluated; S3-3-1. Calculate the equipment's carrying capacity based on the equipment's rated capacity, the calculated maximum estimated reverse load rate, the preset rated reverse power of the new energy equipment, the safety margin factor of the equipment to be evaluated, and the load reduction factor; The calculation expression of the carrying capacity of the equipment is: C A =P R ×α×(1-η max )×(1-th min )-β×P G ; Among them, C A It represents the carrying capacity of the equipment, α represents the safety margin coefficient of the equipment to be evaluated, which is used to reflect the operating safety margin of the equipment, and β represents the load reduction factor, which takes into account the reduction of the carrying capacity caused by the power fluctuation of the new energy equipment after it is connected.

8. The method for evaluating the operating status of distributed new energy equipment based on station-line-transformer relationship according to claim 1 is characterized in that: Calculate the comprehensive load factor of several grid operating devices, including: S5-1, extracting the actual reverse power of the new energy equipment access point and the actual power generation fluctuation amplitude of the currently connected new energy equipment from the instantaneous load array; S5-2, calculating the actual reverse load rate based on the extracted actual reverse power and the actual power generation fluctuation amplitude; The calculation expression of the actual reverse load rate is: Among them, η rev Indicates the actual reverse load rate, P G,actual Indicates the actual reverse power of new energy equipment, ΔP G,actual Indicates the fluctuation range of the actual power generation of new energy equipment; S5-3, obtaining the rated reverse power of the new energy equipment to be connected and the number of the new energy equipment to be connected; S5-4. Calculate the in-transit capacity of the equipment to be evaluated based on the rated reverse power of the new energy equipment to be connected and the number of new energy equipment to be connected; The calculation expression of the in-transit capacity of the equipment to be evaluated is: Among them, C in represents the capacity in transit, n represents the number of waiting accesses, P G,new,i Indicates the rated reverse power of the i-th new energy device to be connected; S5-5, calculating the comprehensive load rate of the device to be evaluated based on the actual reverse load rate, the in-transit capacity, the current load of the device after the new energy device is connected, and the rated capacity of the device; The calculation expression of the comprehensive load rate of the equipment to be evaluated is: Among them, η total Indicates the overall load factor.

9. The method for evaluating the operating status of distributed new energy equipment based on station-line-transformer relationship according to claim 1 is characterized in that: The evaluation expression of the operating status of new energy equipment after connecting to the power grid is: Among them, S status Indicates the running status.

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