County-level isolated network frequency correction control system supported by multiple resources
The county-level isolated grid frequency correction control system, supported by multiple resources, constructs a comprehensive power grid layout map and frequency dynamic map, performs frequency judgment and monitoring, and generates dynamic correction schemes. This solves the problem of frequency fluctuation in the county-level power system under isolated grid operation mode, and achieves rapid response and stable operation.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-12-22
- Publication Date
- 2026-03-13
AI Technical Summary
In the isolated grid operation mode, frequency fluctuations in the county power system lead to power system instability. Existing individual generator units or energy storage devices have limited regulation capabilities and cannot quickly respond to large-scale load changes. Moreover, energy storage devices are costly and have limited regulation capabilities.
The county-level isolated grid frequency correction control system, which is supported by multiple resources, constructs a comprehensive power grid layout map through a resource acquisition module, constructs a regional frequency dynamic map through a collaborative processing module, performs frequency decision-making and monitoring through a support analysis module, and performs frequency supplementation and rescue through an intelligent correction module, thereby generating a dynamic correction scheme.
It improves the frequency regulation capability of isolated grids, optimizes resource utilization efficiency, reduces operating costs, ensures stable grid operation, responds quickly to frequency fluctuations, and improves frequency correction efficiency.
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Figure CN121367197B_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of smart grid technology, specifically a county-level isolated grid frequency correction control system supported by multiple resources. Background Technology
[0002] In traditional power systems, the stability of the power grid frequency depends on the unified dispatch and balancing of the entire power grid. However, with the transformation of the energy structure and the access of new energy sources, the operational complexity of county-level power systems is gradually increasing. In particular, when facing grid failures, maintenance needs, or disasters, county-level power systems may become isolated from the main power grid, forming an independently operating power grid system, i.e., an isolated grid operation mode.
[0003] However, in islanded grid operation, the supply and demand relationship of the local power grid may change, and the imbalance between power generation and load can easily lead to frequency fluctuations. These fluctuations not only affect the stable operation of the power system but may also damage user equipment and reduce the quality of power services. Therefore, it is necessary to correct and regulate the islanded grid frequency in the county. In the past, correction usually relied on the regulation capabilities of individual generator sets or energy storage devices, but this method has certain limitations: the regulation capability of individual generator sets is limited and cannot quickly respond to large-scale load changes; the installation and maintenance costs of energy storage devices are high, and their regulation capability is limited by the energy storage capacity and charge / discharge rate.
[0004] To overcome these limitations, a county-level isolated network frequency correction control system supported by multiple resources has emerged. This system integrates various resources to identify abnormal frequencies in the isolated network, analyzes the degree of deviation, and intelligently performs dynamic adjustments based on the degree of deviation to mitigate the damage caused by frequency misalignment. This not only improves the stability and reliability of isolated network operation but also optimizes resource utilization efficiency and reduces operating costs. Summary of the Invention
[0005] The purpose of this invention is to provide a county-level isolated network frequency correction control system with multi-resource collaborative support, so as to solve the problems of slow large-scale response speed and low frequency control accuracy mentioned in the background art.
[0006] A county-level isolated network frequency correction control system supported by multiple resources includes a control center, which is connected to a resource acquisition module, a collaborative processing module, a support analysis module, and an intelligent correction module.
[0007] The resource acquisition module is used to construct a comprehensive power grid layout map for the county, collect composite power grid data based on isolated grid blocks, and mark the information acquisition time.
[0008] The collaborative processing module is used to extract composite power grid data, construct a regional frequency dynamic map, perform frequency temporal determination on the regional frequency dynamic map, and obtain the islanded network frequency decision result.
[0009] The support analysis module is used to mark the results of the power grid integrated layout map according to the isolated grid frequency decision results, obtain the result marked nodes, update the shape of the power grid integrated layout map based on the result marked nodes, obtain the three-dimensional marked map of the power grid, and perform frequency measurement monitoring on the three-dimensional marked map of the power grid to obtain the abnormal power grid marked map.
[0010] The intelligent correction module is used to classify the abnormality of the abnormal power grid marking map, obtain the degree of node frequency deviation, and perform frequency supplementation and rescue for the isolated grid block according to the degree of node frequency deviation, thereby obtaining a dynamic correction scheme.
[0011] Preferably, the process of collecting composite power grid data includes:
[0012] Data collection was conducted on the county's power grid to obtain a comprehensive power grid layout map;
[0013] The obtained integrated power grid layout map is identified and marked to obtain isolated grid blocks, and these isolated grid blocks are highlighted in the integrated power grid layout map.
[0014] Set up power acquisition terminals and mark the acquired power acquisition terminals on the power grid integrated layout map to obtain key acquisition nodes;
[0015] By traversing and collecting data from key data collection nodes through the power acquisition terminal, composite power grid data is obtained. The collected composite power grid data is then time-stamped to obtain the information collection time.
[0016] Preferably, the process of constructing a regional frequency dynamic map includes:
[0017] Frequency extraction is performed on composite power grid data based on isolated grid blocks to obtain the frequency of the isolated grid area.
[0018] A two-dimensional rectangular coordinate system is constructed based on the information acquisition time. The obtained isolated network area frequency is uploaded to the two-dimensional rectangular coordinate system. A frequency change curve is generated based on the obtained isolated network area frequency. The frequency change curve is marked in the two-dimensional rectangular coordinate system to obtain a dynamic map of the regional frequency.
[0019] Preferably, the process of determining the frequency temporality of the regional frequency dynamic graph includes:
[0020] Set the reference grid frequency range, and change the state of the obtained reference grid frequency range according to the regional frequency dynamic diagram to obtain the reference frequency determination axis;
[0021] The obtained reference frequency decision axis is uploaded to the regional frequency dynamic map. The regional frequency dynamic map is then used to make real-time decisions based on the reference frequency decision axis to obtain the isolated network frequency decision results.
[0022] Preferably, the process of obtaining a three-dimensional mapping map of the power grid includes:
[0023] Based on the obtained results, the nodes are marked and the integrated power grid layout map is updated to obtain the marked power grid layout map;
[0024] The obtained power grid marking layout map is transformed into a three-dimensional power grid marking map.
[0025] The regional frequency dynamic map is obtained based on the power grid marking layout map, and the obtained regional frequency dynamic map is marked at the corresponding result marking node.
[0026] Preferably, the process of frequency measurement monitoring of the three-dimensional marking map of the power grid includes:
[0027] A reference frequency surface is set on the three-dimensional marking map of the power grid, and the set reference frequency surface is marked on the three-dimensional marking map of the power grid;
[0028] Based on the information acquisition time, the obtained regional frequency dynamic map is subjected to measurement replacement to obtain the real-time frequency monitoring quantity.
[0029] Based on the three-dimensional marking map of the power grid, the obtained islanded grid frequency judgment results are used to mark nodes and display them as anomalies, thereby obtaining the marked nodes.
[0030] Based on the anomaly marker nodes, the three-dimensional marking map of the power grid is updated with anomalies according to the obtained real-time frequency monitoring data, thus obtaining an anomaly power grid marking map.
[0031] Preferably, the process of classifying the anomaly degree of the abnormal power grid marking map includes:
[0032] Based on the anomaly marker nodes, the obtained abnormal power grid marker map is grouped by category to obtain the power grid resource categories;
[0033] Based on the power grid resource category, the abnormal power grid marking map is delineated by frequency measurement to obtain abnormal frequency segments;
[0034] Based on the obtained abnormal frequency segments, the abnormal marker nodes are matched to obtain the degree of deviation of the node frequency.
[0035] Preferably, the process of frequency supplementation and rescue for isolated network blocks based on the degree of node frequency deviation includes:
[0036] Based on the degree of node frequency deviation, the rescue degree of power grid resource categories is matched to obtain the rescue supplementary resource degree;
[0037] Based on the obtained rescue and replenishment resource level, resource assistance is provided to the abnormal power grid marking map to obtain node subsidy measures. The obtained node subsidy measures are then intelligently integrated to obtain a dynamic correction scheme.
[0038] Compared with the prior art, the beneficial effects of the present invention are:
[0039] 1. Construct a comprehensive power grid layout map for the county, identify isolated grid areas, and mark their boundary features. This allows for a clear view of the location and boundary characteristics of isolated grids, facilitating quick location and monitoring of their status by operators. Simultaneously, collect comprehensive power data from isolated grids and extract frequency data to construct a real-time regional frequency dynamic map. This visually displays frequency trends and fluctuations, facilitating frequency anomaly analysis, identifying standard deviations from frequency ranges, and performing abnormal frequency analysis to obtain frequency judgment results. This enables rapid response to frequency fluctuations and facilitates frequency correction.
[0040] 2. Mark the frequency judgment results on the power grid integrated layout map to obtain the result marked nodes, and perform three-dimensional transformation to obtain a three-dimensional power grid marked map. Set a reference frequency surface in the three-dimensional power grid marked map to display the real-time frequency monitoring data transformed from the regional frequency dynamic map. This allows for intuitive observation of whether the node frequency is above or below the safe range of the standard frequency. At the same time, classify the frequency deviation level according to the real-time frequency monitoring data to obtain the degree of node frequency deviation. Based on the degree of node frequency deviation, measure and classify the available rescue resources to ensure the rational allocation and efficient use of rescue resources. This will generate corresponding rescue measures and integrate them into a rescue plan, improving the efficiency and effectiveness of frequency correction and ensuring the stable operation of the power system. Attached Figure Description
[0041] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.
[0042] Figure 1 This is a schematic diagram of the present invention. Detailed Implementation
[0043] The technical solution of the present invention will be clearly and completely described below with reference to the embodiments. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.
[0044] like Figure 1 As shown, a county-level isolated network frequency correction control system supported by multiple resources includes a control center, which is connected to a resource acquisition module, a collaborative processing module, a support analysis module, and an intelligent correction module.
[0045] The resource acquisition module is used to construct a comprehensive power grid layout map for the county, collect composite power grid data based on isolated grid blocks, and mark the information acquisition time.
[0046] The collaborative processing module is used to extract composite power grid data, construct a regional frequency dynamic map, perform frequency temporal determination on the regional frequency dynamic map, and obtain the islanded network frequency decision result.
[0047] The support analysis module is used to mark the results of the power grid integrated layout map according to the isolated grid frequency decision results, obtain the result marked nodes, update the shape of the power grid integrated layout map based on the result marked nodes, obtain the three-dimensional marked map of the power grid, and perform frequency measurement monitoring on the three-dimensional marked map of the power grid to obtain the abnormal power grid marked map.
[0048] The intelligent correction module is used to classify the abnormality of the abnormal power grid marking map, obtain the degree of node frequency deviation, and perform frequency supplementation and rescue for the isolated grid block according to the degree of node frequency deviation, thereby obtaining a dynamic correction scheme.
[0049] In practical applications, within a county, due to reasons such as power grid failures and maintenance needs, the county's power grid system may become isolated from the entire large power grid, forming an independently operating power grid system, also known as an isolated grid. Under normal circumstances, the frequency of the power system is uniformly dispatched and controlled by the entire large power grid. Once an isolated grid is formed, the frequency of this local power grid may deviate from the standard frequency due to reasons such as supply and demand imbalance and insufficient regulation capacity of generator units, affecting the stable operation of the power system.
[0050] Because the power grid is relatively small, there may not be enough backup power to maintain the stability of the grid frequency. Therefore, frequency correction control is required to ensure the stable operation of the power grid. By introducing multi-resource collaborative support technology, the frequency regulation capability of the isolated grid can be improved, making frequency control more flexible and effective.
[0051] The resource acquisition module is used to construct a comprehensive power grid layout map for the county, and composite power grid data is collected based on isolated grid blocks. The specific process includes:
[0052] Data collection was conducted on the county's power grid to obtain a comprehensive power grid layout map;
[0053] The aforementioned power grid acquisition refers to the conversion of the power system covered by the county into a layout plan, that is, the power system within the county is converted into a plan view, which is recorded as a comprehensive power grid layout map. This includes, but is not limited to, the location and type of power generation facilities, transmission and distribution lines, substations and distribution transformers, and the distribution of power users, which are completely identical to the structure and function of the power system in the actual county.
[0054] The obtained integrated power grid layout map is identified and marked to obtain isolated grid blocks. These isolated grid blocks are then highlighted in the integrated power grid layout map by using different colors to delineate the regional boundaries of the isolated grid blocks. The location of the isolated grid blocks can be directly observed in the integrated power grid layout map.
[0055] It should be further explained that, in the specific implementation process, the identification mark indicates the area range of isolated grids identified in the county's power system, that is, the isolated grid block; in this embodiment, the isolated grid status is identified by the installed monitoring equipment, that is, the power grid in this area is isolated from the main power grid, forming an isolated grid block, and the area range is characterized by color in the power grid integrated layout map.
[0056] Set up power acquisition terminals and mark the acquired power acquisition terminals on the power grid integrated layout map to obtain key acquisition nodes;
[0057] The power acquisition terminals are set up based on key nodes in the power system. These key nodes can be main substations, regional control centers, or generator units. The corresponding locations of the power acquisition terminals are marked on the integrated power grid layout map, which are the key acquisition nodes. In particular, key acquisition nodes may also appear in isolated grid blocks, meaning they can collect data information within the isolated grid blocks to determine whether frequency correction is needed. This data is then combined with the collected power system data for correction control.
[0058] By traversing and collecting data from key acquisition nodes through the power acquisition terminal, composite power grid data is obtained, and the obtained composite power grid data is associated with the corresponding key acquisition nodes.
[0059] The collected power grid composite data is time-stamped to obtain the information collection time, and the obtained information collection time is associated with the corresponding power grid composite data;
[0060] Furthermore, the traversal acquisition refers to the acquisition of power data of the power system within the power grid integrated layout map and power data of isolated grid blocks through the set power acquisition terminal, which is the power grid composite data. The power grid composite data includes large power grid integrated data and isolated grid integrated data. Among them, the large power grid integrated data includes, but is not limited to, frequency data, voltage data, load data, and generation data, while the isolated grid integrated data includes, but is not limited to, isolated grid frequency data, isolated grid voltage data, isolated grid load data, and isolated grid generation data.
[0061] In particular, by marking the isolated grid integrated data in the power grid composite data in the corresponding isolated grid block, the isolated grid integrated data of each isolated grid block can be directly obtained.
[0062] The collaborative processing module is used to extract composite power grid data, construct a regional frequency dynamic map, perform frequency temporal determination on the regional frequency dynamic map, and obtain the islanded network frequency decision result. The specific process includes:
[0063] Acquire composite power grid data, and extract frequencies from the acquired composite power grid data based on isolated grid blocks to obtain the isolated grid area frequencies;
[0064] The frequency extraction refers to extracting frequency data from the comprehensive isolated grid data in the power grid composite data within an isolated grid block, denoted as the isolated grid area frequency, which represents the frequency data of the isolated grid block.
[0065] A two-dimensional rectangular coordinate system is constructed based on the information acquisition time. The obtained isolated network area frequency is uploaded to the two-dimensional rectangular coordinate system. A frequency change curve is generated based on the obtained isolated network area frequency. The frequency change curve is marked in the two-dimensional rectangular coordinate system to obtain a dynamic map of the area frequency.
[0066] It should be further explained that, in the specific implementation process, the horizontal axis of the constructed two-dimensional rectangular coordinate system represents the information acquisition time, and the vertical axis represents the frequency of the isolated network area. The obtained regional frequency dynamic graph is a curve of the isolated network area frequency changing with the information acquisition time.
[0067] A reference grid frequency range is set, which includes an upper limit and a lower limit of the reference frequency.
[0068] The reference grid frequency range is a safe range set according to the fixed frequency of the power system corresponding to the county. For example, the fixed frequency of the existing large power grid is 50Hz. Based on the fixed frequency of 50Hz, the frequency range (50±0.5)Hz is set as the reference grid frequency range, that is, the grid frequency within the range of [49.5, 50.5]Hz is the safe range.
[0069] The obtained reference power grid frequency range is changed according to the regional frequency dynamic diagram to obtain the reference frequency determination axis, which includes an upper frequency axis and a lower frequency axis.
[0070] The state change refers to converting the reference grid frequency range in data form into an axis form in a curve graph. Based on the upper and lower limits of the reference frequency included in the reference grid frequency range, the upper limit of the reference frequency is converted into an axis form parallel to the horizontal axis, denoted as the upper frequency axis, and the lower limit of the reference frequency is converted into an axis form parallel to the horizontal axis, denoted as the lower frequency axis.
[0071] The obtained reference frequency judgment axis is uploaded to the regional frequency dynamic map. The regional frequency dynamic map is judged in real time through the reference frequency judgment axis to obtain the isolated network frequency judgment result. The isolated network frequency judgment result includes fluctuation qualified result and fluctuation abnormal result.
[0072] It should be further explained that, in the specific implementation process, the real-time judgment means that, in the regional frequency dynamic diagram, based on the uploaded reference frequency judgment axis, the scattered range of the frequency change curve is judged to obtain the islanded grid frequency judgment result. The frequency change curves that fall on the upper frequency limit axis, the lower frequency limit axis, and the part between the upper frequency limit axis and the lower frequency limit axis are recorded as fluctuation qualified results, indicating that the frequency change of the islanded grid block is always within the reference grid frequency range and has not exceeded the safe range; otherwise, it is recorded as fluctuation abnormal results, indicating that the frequency change of the islanded grid block exceeds the reference grid frequency range, that is, exceeds the safe range, and frequency correction is required to reduce the damage of frequency abrupt changes and fluctuations to the power system.
[0073] The supporting analysis module is used to mark the power grid integrated layout map according to the islanded grid frequency decision results, obtain the marked nodes, update the shape of the power grid integrated layout map based on the marked nodes to obtain the three-dimensional marked map of the power grid, and monitor the frequency measurement of the three-dimensional marked map of the power grid to obtain the abnormal power grid marked map. The specific process includes:
[0074] Based on the obtained islanded network frequency decision results, the integrated power grid layout map is marked to obtain the marked nodes. Based on the obtained marked nodes, the integrated power grid layout map is updated to obtain the marked power grid layout map.
[0075] It should be further explained that, in the specific implementation process, the result marking means that, in the power grid integrated layout diagram, based on the real-time decision of the isolated grid frequency at each key acquisition node, different isolated grid frequency decision results are marked at the key acquisition nodes, and the power grid integrated layout diagram after marking the isolated grid frequency decision results is recorded as the power grid marked layout diagram.
[0076] Furthermore, when the isolated network frequency determination result of the key acquisition node is a fluctuation qualified result, the fluctuation qualified result is marked at the key acquisition node, and the marked key acquisition node is recorded as the result marked node and marked with a special color. In this embodiment, when the isolated network frequency determination result of the key acquisition node is a fluctuation qualified result, the fluctuation qualified result is marked at the key acquisition node and marked with a special color, and the special mark of the result marked node is green; when the isolated network frequency determination result of the key acquisition node is a fluctuation abnormal result, the fluctuation qualified result is marked at the key acquisition node and marked with a special color, and the special mark of the result marked node is red.
[0077] By using different colors to distinguish the different isolated grid frequency judgment results of key acquisition nodes, that is, result marker nodes are marked with different colors. By observing the different colors of the result marker nodes, it is possible to directly observe whether the frequency of the information acquisition node is within the safe range. The isolated grid frequency judgment result corresponds to the frequency judgment result of a period of time, that is, a period of time composed of several information acquisition times. Therefore, according to the change of time sequence, the color change of the result marker nodes in the power grid integrated layout diagram can be dynamically obtained. That is, the color of the result marker node may be different at different times, thus enabling the acquisition of dynamic frequency judgment results.
[0078] The obtained power grid marking layout map is transformed into a three-dimensional power grid marking map.
[0079] The 3D transformation marker converts the power grid marking layout diagram into a three-dimensional layout model diagram, denoted as the power grid 3D marking diagram. In other words, it converts the two-dimensional power grid marking layout diagram into a three-dimensional spatial model. In the obtained power grid 3D marking diagram, the internal structure and function are exactly the same as the actual county-level power system. It is just a model diagram that can display the structure of the power system in three dimensions.
[0080] Based on the power grid marking layout map, the regional frequency dynamic map is obtained. The obtained regional frequency dynamic map is marked at the corresponding result marking node. This means that the regional frequency dynamic map corresponding to each result marking node is marked at the corresponding node. The frequency change curve corresponding to the node can be obtained directly through the node.
[0081] A reference frequency plane is set on the obtained three-dimensional power grid mapping map, and the set reference frequency plane is marked on the three-dimensional power grid mapping map;
[0082] Furthermore, the reference frequency plane is a basic horizontal plane set for the three-dimensional marking map of the power grid. It is usually based on the center of the result marking node, representing the horizontal axis of the coordinate axis, which represents the standard frequency specified by the power grid. In this embodiment, the frequency value corresponding to the reference frequency plane is 50Hz, but the height is level with the center of the node. Above the reference frequency plane, it means that the frequency at the current time exceeds the standard frequency specified by the standard. Below the reference frequency plane, it means that the frequency at the current time is lower than the standard frequency specified by the standard. The extent to which it is higher or lower is determined according to the actual frequency value. Depending on the location of the result marking node, the height of the reference frequency plane of each result marking node may be different, but the actual meaning is the same, which is the standard frequency specified by the standard. This reference frequency plane is displayed at the result marking node and is used to measure the real-time frequency.
[0083] Based on the information acquisition time, the obtained regional frequency dynamic map is subjected to measurement replacement to obtain the real-time frequency monitoring quantity.
[0084] It should be further explained that, in the specific implementation process, the measurement replacement means that at the information collection time, the frequency value displayed in the regional frequency dynamic map is replaced at each result marker node, that is, replaced into a three-dimensional real-time monitoring frequency form and represented in the three-dimensional marker map of the power grid. The replaced three-dimensional form is recorded as the real-time monitoring frequency quantity.
[0085] Specifically, since the reference frequency surface represents the standard frequency specified by the large power grid, the corresponding real-time frequency monitoring quantity is the difference between the standard frequency and the standard frequency. If it is higher than the standard frequency, it is a positive number; if it is lower than the standard frequency, it is a negative number; and if it is equal to zero, it means that it is exactly equal to the standard frequency. According to the standard frequency, there is a safe range, and the result marker node is the node after judging whether the frequency meets the safe range. Therefore, the real-time frequency monitoring quantity is the frequency quantity that exceeds the safe range.
[0086] In this embodiment, the frequency value corresponding to each information acquisition time of the result marker node is represented by a cylinder. That is, the volume of the cylinder is the real-time frequency monitoring quantity. Cylinders with the same diameter but different heights are used to represent the frequency. There are cylinders with different heights corresponding to different frequency values. The real-time frequency value of each result marker node is marked based on the reference frequency surface. If the real-time frequency value is higher than the standard specified frequency, the cylinder extends upward to the reference frequency surface. If the real-time frequency value is lower than the standard specified frequency, the cylinder extends downward to the reference frequency surface. The frequency value of the corresponding result marker node is obtained by the height of the cylinder at each result marker node and its vertical relationship with the reference frequency surface.
[0087] Based on the three-dimensional marking map of the power grid, the obtained islanded grid frequency judgment results are used to mark nodes and display them as anomalies, thereby obtaining the marked nodes.
[0088] The anomaly display refers to marking nodes in the three-dimensional power grid marking map where the isolated grid frequency judgment result of each result marking node is an abnormal result. In this embodiment, since the result marking node is marked in red, the abnormal marking node is displayed in red. Depending on the different isolated grid frequency judgment results of different information acquisition nodes, the appearance time of the abnormal marking node of the same key acquisition node is also different at different information acquisition times. Therefore, according to the time sequence, the changes of abnormal nodes can be dynamically observed in the three-dimensional power grid marking map.
[0089] Based on the anomaly marker nodes, the three-dimensional marking map of the power grid is updated with anomalies according to the obtained real-time frequency monitoring data to obtain an anomaly power grid marking map;
[0090] Furthermore, the anomaly update means that the characteristic color of the anomaly marker node is displayed in the original three-dimensional power grid marking map, and the corresponding real-time frequency monitoring quantity is displayed accordingly, that is, whether it is above or below the reference frequency plane, and the height of the cylinder is displayed at the corresponding anomaly marker node. At this time, the three-dimensional power grid marking map can more intuitively observe the location of the anomaly node and the quantitative representation of the abnormal frequency value, and can distinguish whether the frequency value of the node is above the safety range or below the safety valve range, which facilitates the rapid formulation of corresponding remedial measures. This three-dimensional power grid marking map with all the markings is called the abnormal power grid marking map.
[0091] The intelligent correction module is used to classify the abnormality level of the abnormal power grid marking map, obtain the degree of node frequency deviation, and perform frequency supplementation and rescue for isolated grid blocks according to the degree of node frequency deviation to obtain a dynamic correction scheme. The specific process includes:
[0092] Obtain an abnormal power grid marker map, and group the obtained abnormal power grid marker map by category based on the abnormal marker nodes to obtain the power grid resource categories;
[0093] The category grouping in the abnormal power grid marking diagram means that facilities of the same category are divided into the same type according to different equipment or structures, and recorded as a power grid resource category. This is a resource equipment category used to perform frequency correction on abnormal marked nodes. For example, generator set category, adjustable load category, and energy storage equipment category. By distinguishing different categories, it is convenient to generate corresponding frequency regulation measures.
[0094] Based on the power grid resource category, the abnormal power grid marking map is delineated by frequency measurement to obtain abnormal frequency segments;
[0095] The frequency measurement boundary is represented in the abnormal power grid marking diagram, which divides the abnormal frequency into segments. Each abnormal frequency segment represents a level of frequency excess range. The first level has 1 abnormal frequency segment, the second level has 2 abnormal frequency segments, the third level has 3 abnormal frequency segments, the fourth level has 4 abnormal frequency segments, and each level adds one abnormal frequency segment until the frequency real-time monitoring quantity is covered.
[0096] Furthermore, abnormal frequency segments represent different intervals exceeding the standard frequency safety range, used to classify the level of excess, i.e. the degree of frequency deviation. The higher the level of the interval in which the real-time frequency monitoring quantity is located, the greater the degree of frequency deviation, and corresponding frequency correction measures are taken according to the degree of deviation. In particular, abnormal frequency segments exceeding the frequency safety range are positive numbers, and abnormal frequency segments below the frequency safety range are negative numbers. Moreover, the abnormal frequency segments corresponding to different types of power grid resources are different, and corresponding abnormal frequency segments are set according to different equipment in the power system.
[0097] The degree of deviation of the node frequency is obtained by segmenting the abnormal frequency into segments and performing degree matching on the abnormal marker nodes.
[0098] The degree matching means first subtracting or adding 0.5 to the real-time frequency monitoring value. This is based on the fact that the fixed frequency of the large power grid is 50Hz, that is, the reference frequency plane is 50, and the safe range of the power grid frequency is [49.5, 50.5]. When the real-time frequency monitoring value is negative, 0.5 needs to be added first. When the real-time frequency monitoring value is positive, 0.5 needs to be subtracted first. Then, the remaining frequency value is matched with the multiple of the corresponding abnormal frequency segment. Based on the matched multiple range, the degree of node frequency deviation is obtained.
[0099] For example, if the real-time frequency monitoring value is divided into intervals of 0.05, meaning the abnormal frequency segment is 0.05, and the interval increases in multiples of 0.05, then the real-time frequency monitoring value of each abnormal marker node can be assigned a corresponding interval. For instance, if the real-time frequency monitoring value at the m3 abnormal marker node is +0.73, then +0.73 - 0.5 = 0.23. 0.23 falls within the fifth multiple level of the abnormal frequency segment, i.e., the range [0.21, 0.25]. Therefore, the real-time frequency monitoring value of node m3... The frequency measurement boundary of the real-time monitoring quantity is the abnormal frequency segment of the 5th interval, indicating that the frequency deviation of node m3 is level 5. If the real-time frequency monitoring quantity of m7 is -0.72, -0.72+0.5=-0.22. -0.22 is within the fifth level of the abnormal frequency segment, that is, within the range of [-0.21, -0.25]. Then the frequency measurement boundary of the real-time frequency monitoring quantity of m7 is also the abnormal frequency segment of the 5th interval, and the frequency deviation is also level 5. It is just that the degree of being lower than the standard specification frequency is level 5. Positive and negative indicate whether it is higher or lower than the standard specification frequency.
[0100] Based on the obtained node frequency deviation, the rescue degree of the power grid resource category is matched to obtain the rescue supplementary resource degree;
[0101] Furthermore, the rescue degree matching means classifying the rescue resources of the power grid resource categories that can be used to adjust the frequency according to the different degrees of frequency deviation of the nodes. That is, each abnormal frequency segment corresponds to a level of rescue resources. For example, for adjustable load categories and energy storage equipment categories that can be rescued at the frequency, the rescue resources of the corresponding adjustable load category are matched according to the frequency size corresponding to the abnormal frequency segment. That is, adjusting which resources in the adjustable load category can make the frequency of the abnormally marked node rise back to one abnormal frequency segment, then this part of the rescue resources is recorded as one rescue supplementary resource degree. If there are two abnormal frequency segments, that is, when it is at the level 2 node frequency deviation, twice the rescue supplementary resource degree is required. That is, through rescue degree matching, the amount of rescue resources corresponding to different degrees of node frequency deviation can be obtained, which will not cause resource waste and can be used for targeted frequency correction rescue.
[0102] Based on the obtained rescue and supplementary resource level, resource assistance is provided to the abnormal power grid marking map to obtain node subsidy measures. The obtained node subsidy measures are then intelligently integrated to obtain a dynamic correction scheme.
[0103] It needs further clarification that, in the specific implementation process, the resource assistance refers to the corresponding supplementary rescue resource level for each abnormally marked node's frequency deviation. That is, based on the frequency deviation, corresponding frequency correction resources can be obtained. By using these frequency correction resources in real time, corresponding corrective measures, i.e., node subsidy measures, can be implemented. For example, regarding the supplementary rescue resource level for the adjustable load category of the m3 abnormally marked node, if the real-time frequency monitoring value is above the reference frequency plane, it indicates that the frequency deviation of node m3 exceeds the safe range. It is necessary to increase the resources of the adjustable load category to reduce the frequency increase, such as activating standby load to consume excess resources. Electrical energy consumption corresponds to the amount of emergency replenishment resources. For the same anomalous marker node, joint emergency replenishment through different types of resources can improve the speed of emergency response, allowing the anomalous marker node to access frequency emergency resources in the shortest possible time. This, in turn, can more quickly mitigate the damage to the power grid caused by frequency deviation. Therefore, by statistically analyzing the node assistance measures for all types of emergency replenishment resources for anomalous marker nodes, a unified emergency response plan, known as a dynamic correction plan, can be established. This plan can dynamically adjust the frequency based on changes in the anomalous marker nodes on the abnormal power grid marking map, restoring the frequency to a safe range as quickly as possible and minimizing the impact of frequency fluctuations on the power system.
[0104] The preferred embodiments of the present invention disclosed above are merely illustrative of the invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the invention to any specific implementation. Clearly, many modifications and variations can be made based on the content of this specification. This specification selects and specifically describes these embodiments to better explain the principles and practical applications of the invention, thereby enabling those skilled in the art to better understand and utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims
1. A county isolated network frequency correction control system supported by multi-resource coordination, comprising a control center, characterized in that, The control center is connected with a resource collection module, a collaborative processing module, a support analysis module and an intelligent correction module; The resource collection module is used for constructing a power grid comprehensive layout map for a county area, collecting power grid composite data based on an isolated network block, and marking information collection time; The collaborative processing module is used for extracting power grid composite data, constructing a regional frequency dynamic map, performing frequency time state determination on the regional frequency dynamic map, and obtaining an isolated network frequency determination result; The process of performing frequency time state determination on the regional frequency dynamic map comprises: setting a reference power grid frequency range, changing the state of the obtained reference power grid frequency range according to the regional frequency dynamic map, obtaining a reference frequency determination axis, and the reference frequency determination axis comprising an upper frequency limit axis and a lower frequency limit axis; The state change means converting the data form of the reference power grid frequency range into the axis form in the curve graph; uploading the obtained reference frequency determination axis to the regional frequency dynamic map, performing real-time determination on the regional frequency dynamic map through the reference frequency determination axis, and obtaining an isolated network frequency determination result; The support analysis module is used for marking the power grid comprehensive layout map according to the isolated network frequency determination result, obtaining a result marking node, updating the form of the power grid comprehensive layout map based on the result marking node, obtaining a power grid three-dimensional marking map, and performing frequency measurement monitoring on the power grid three-dimensional marking map to obtain an abnormal power grid marking map; The intelligent correction module is used for classifying the abnormal power grid marking map according to the degree of abnormality, obtaining a node frequency deviation degree, performing frequency supplementary rescue on the isolated network block according to the node frequency deviation degree, and obtaining a dynamic correction scheme; The process of performing frequency supplementary rescue on the isolated network block according to the node frequency deviation degree comprises: matching the rescue degree with the power grid resource category according to the node frequency deviation degree, and obtaining a rescue supplementary resource degree; performing resource assistance on the abnormal power grid marking map according to the obtained rescue supplementary resource degree, obtaining a node assistance measure, intelligently integrating the obtained node assistance measure, and obtaining a dynamic correction scheme.
2. The multi-resource coordinated support of county isolated grid frequency correction control system according to claim 1, characterized in that, The process of collecting power grid composite data comprises: collecting power grid in the county area, and obtaining a power grid comprehensive layout map; identifying and marking the obtained power grid comprehensive layout map, obtaining an isolated network block, and highlighting the isolated network block in the power grid comprehensive layout map; setting a power collection end, marking the obtained power collection end in the power grid comprehensive layout map, and obtaining a key collection node; traversing and collecting the key collection node through the power collection end, obtaining power grid composite data, and marking the collected power grid composite data with time to obtain information collection time.
3. The multi-resource coordinated support of county grid island frequency correction control system according to claim 1, characterized in that, The process of constructing a regional frequency dynamic map comprises: extracting the frequency of the power grid composite data based on the isolated network block, obtaining an isolated network regional frequency; constructing a two-dimensional rectangular coordinate system based on the information collection time, uploading the obtained isolated network regional frequency to the two-dimensional rectangular coordinate system, generating a frequency change curve according to the obtained isolated network regional frequency, marking the frequency change curve in the two-dimensional rectangular coordinate system, and obtaining a regional frequency dynamic map.
4. The multi-resource coordinated support of county grid island frequency correction control system of claim 1, wherein, The process of obtaining a power grid three-dimensional marking map comprises: updating the nodes of the power grid comprehensive layout map according to the obtained result marking node, obtaining a power grid marking layout map; The obtained power grid marking layout diagram is subjected to stereoscopic transformation to obtain a three-dimensional power grid marking diagram.
5. The multi-resource coordinated support of county grid island frequency correction control system of claim 1, wherein, The process of frequency measurement monitoring of the three-dimensional power grid marking diagram includes: Based on the power grid marking layout diagram, an area frequency dynamic diagram is obtained, and the obtained area frequency dynamic diagram is marked at the corresponding result marking node; A reference frequency surface is set for the three-dimensional power grid marking diagram, and the set reference frequency surface is marked in the three-dimensional power grid marking diagram; Based on the information collection time, the obtained area frequency dynamic diagram is subjected to measurement replacement to obtain a frequency real-time monitoring quantity; Based on the three-dimensional power grid marking diagram, the obtained result marking node is subjected to abnormal display according to the obtained isolated grid frequency judgment result to obtain an abnormal marking node; Based on the abnormal marking node, the three-dimensional power grid marking diagram is subjected to abnormal update according to the obtained frequency real-time monitoring quantity to obtain an abnormal power grid marking diagram.
6. The multi-resource coordinated support of county grid island frequency correction control system according to claim 5, characterized in that, The process of abnormal degree classification of the abnormal power grid marking diagram includes: The obtained abnormal power grid marking diagram is subjected to category grouping according to the abnormal marking node to obtain a power grid resource category; Based on the power grid resource category, the abnormal power grid marking diagram is subjected to frequency measurement demarcation to obtain an abnormal frequency segment; The abnormal marking node is subjected to degree matching according to the obtained abnormal frequency segment to obtain a node frequency deviation degree.
Citation Information
Patent Citations
Isolated power grid stability control system
CN103166241A
Automatic topology identification method and system for plateau isolated network energy station
CN119965958A