Intelligent control method for magnetic pressure mixed control type dynamic reactive power compensation device

Abstract

The invention relates to the technical field of power grid reactive power compensation, in particular to an intelligent control method for a magnetic voltage mixed control type dynamic reactive power compensation device, which comprises the following steps of: acquiring voltage and reactive power of each node at each moment in a power grid, and rated steady-state voltage of each node; obtaining reactive power output by the magnetic pressure mixed control type dynamic reactive power compensation device at each moment; determining a voltage real-time difference degree between any two nodes at each moment; obtaining the fluctuation intensity of each node at each moment; determining a voltage deviation coefficient between any two nodes at each moment; and obtaining the overall reactive power of the magnetic pressure mixed control type dynamic reactive power compensation device at each moment, and obtaining the control reactive power of the magnetic pressure mixed control type dynamic reactive power compensation device at each moment in combination with the reactive power output by the magnetic pressure mixed control type dynamic reactive power compensation device at the previous moment of each moment. The overall power quality of the power grid is improved.

Description

Technical Field

[0001] The present application relates to the technical field of reactive power compensation for power grids, and in particular to an intelligent control method for a magnetic-pressure hybrid control type dynamic reactive power compensation device. Background Art

[0002] Static var compensator (SVC) is a reactive power compensation device for power systems. It can dynamically adjust the reactive power compensation capacity according to the actual operating status of the power grid. It combines magnetic control technology with power electronic control to accurately control reactive power to adapt to the rapid changes in power grid load and voltage, thereby improving voltage stability and power factor, reducing power grid losses, and improving power quality.

[0003] During the operation of the magnetic-pressure hybrid control dynamic reactive power compensation device, due to the dynamic changes of grid load and voltage fluctuations, there is a problem of constant capacity. Too high constant capacity will cause SVC device overload, increase the risk of SVC device damage, and shorten the life of SVC device; while too low constant capacity cannot meet the reactive power demand of the grid during peak load or large voltage fluctuations, affecting the stability and power quality of the grid.

[0004] In the existing capacity-fixed method, the capacity is usually adjusted only through the monitoring parameters of a single SVC device, without considering the reactive power demand and voltage stability of the entire power grid, resulting in unreasonable compensation capacity setting and a decrease in the power quality of the power grid. Summary of the invention

[0005] In order to solve the above technical problems, the present application provides an intelligent control method for a magnetic-pressure hybrid control type dynamic reactive power compensation device to solve the existing problems.

[0006] The intelligent control method of the magnetic-pressure hybrid control type dynamic reactive power compensation device of the present application adopts the following technical solutions: An embodiment of the present application provides an intelligent control method for a magnetic-pressure hybrid control type dynamic reactive power compensation device, the method comprising the following steps: Collect the voltage and reactive power of each node in the power grid at each moment, as well as the rated steady-state voltage of each node; obtain the reactive power output by the magnetic-pressure hybrid control type dynamic reactive compensation device at each moment; The voltages of all the nodes at all times within a preset time period before each time are combined into a voltage monitoring vector of each node at each time; the correlation between the voltage monitoring vectors of any two nodes at each time in the power grid is analyzed to determine the real-time voltage difference between the two nodes at each time; The upper and lower voltage limits of each node are set based on the rated steady-state voltage; the distribution of elements greater than the upper voltage limit and the distribution of elements less than the lower voltage limit in the voltage monitoring vector of each node at each time are analyzed, and the fluctuation intensity of each node at each time is obtained in combination with the rated steady-state voltage of each node; The fluctuation strengths of the two arbitrary nodes at each moment are integrated to obtain a unified value of the fluctuation strength between the two arbitrary nodes at each moment; the voltage deviation coefficient between the two arbitrary nodes at each moment and at their historical moments is determined by combining the real-time voltage difference between the two arbitrary nodes at each moment and the unified value of the fluctuation strength; The voltage deviation coefficient at each moment between the node where the magnetic-pressure mixed-control type dynamic reactive compensation device is located and its adjacent nodes is used, combined with the reactive power of the adjacent nodes at each moment, to obtain the overall reactive power of the magnetic-pressure mixed-control type dynamic reactive compensation device at each moment, and combined with the reactive power output by the magnetic-pressure mixed-control type dynamic reactive compensation device at the previous moment, to obtain the controlled reactive power of the magnetic-pressure mixed-control type dynamic reactive compensation device at each moment.

[0007] In one embodiment, the determination of the real-time voltage difference includes: The similarity between the voltage monitoring vectors of the arbitrary two nodes at each time is calculated, and the real-time voltage difference is negatively correlated with the similarity.

[0008] In one embodiment, the voltage real-time difference is calculated as follows: ; In the formula, is the real-time voltage difference between node i and node j at time t, is the voltage monitoring vector of node i at time t, is the voltage monitoring vector of node j at time t, and CS() is the cosine similarity calculation function.

[0009] In one embodiment, the step of setting the upper voltage limit and the lower voltage limit of each node based on the rated steady-state voltage includes: The sum and difference of the value 1 and the preset percentage are calculated respectively, the upper limit voltage is the product of the rated steady-state voltage and the sum, and the lower limit voltage is the product of the rated steady-state voltage and the difference.

[0010] In one embodiment, the determination of the fluctuation intensity includes: For each node, the cumulative sum of the differences between all elements in the voltage monitoring vector at each moment that are greater than the corresponding upper limit voltage and the upper limit voltage is calculated, and the sum of the differences between all elements in the voltage monitoring vector at each moment that are less than the corresponding lower limit voltage and the lower limit voltage is calculated, which is recorded as the first sum; A sum of the accumulated sum and the first sum is calculated and recorded as a second sum. The fluctuation intensity is determined based on the second sum, the number of elements in the voltage monitoring vector, and the rated steady-state voltage of the corresponding node.

[0011] In one embodiment, the multiplication result of the number of elements in the voltage monitoring vector of each node at each moment and the rated steady-state voltage is calculated, and the fluctuation intensity is the ratio of the second sum value of each node at each moment to the multiplication result.

[0012] In one embodiment, the unified value of the fluctuation intensity is the average of the fluctuation intensity of any two nodes at each moment.

[0013] In one embodiment, determining the voltage deviation coefficient includes: The voltage deviation coefficient is obtained by taking the normalized result of the unified value of the fluctuation intensity at each moment and at the historical moment between the arbitrary two nodes as the weight and performing weighted summation on the real-time voltage difference at each moment and at the historical moment between the arbitrary two nodes.

[0014] In one embodiment, the determination of the overall reactive power includes: The normalized value of the inverse of the voltage deviation coefficient between the node where the magnetic-pressure hybrid control type dynamic reactive compensation device is located and its adjacent nodes at each moment is used as the weight, and the overall reactive power is the weighted sum of the reactive powers of all the adjacent nodes at each moment.

[0015] In one embodiment, the controlled reactive power is the sum of the overall reactive power of the magnetic-pressure hybrid control type dynamic reactive compensation device at each moment and the reactive power output at the previous moment.

[0016] This application has at least the following beneficial effects: The present application collects the voltage and reactive power of each node at each moment in the power grid, as well as the rated steady-state voltage of each node; obtains the reactive power output by the magnetic-pressure hybrid control type dynamic reactive compensation device at each moment; forms the voltage monitoring vector of each node at each moment with the voltage of all moments in the preset time period before each moment; analyzes the correlation between the voltage monitoring vectors of any two nodes at each moment in the power grid, and determines the real-time difference of the voltage at each moment between the any two nodes; the real-time difference of the voltage reflects the mutual influence degree of the voltage fluctuation at each moment between the any two nodes, and improves the accuracy of the correlation judgment between the two nodes; sets the upper limit voltage and the lower limit voltage of each node based on the rated steady-state voltage; analyzes the distribution of elements greater than the upper limit voltage and the distribution of elements less than the lower limit voltage in the voltage monitoring vector of each node at each moment, and obtains the fluctuation intensity of each node at each moment in combination with the rated steady-state voltage of each node; the fluctuation intensity reflects the abnormal change degree of the voltage data of each node at each moment, which is conducive to improving the accuracy of the judgment of the correlation of the voltage data between the nodes; integrates the fluctuation intensity of the any two nodes at each moment, and obtains the unified value of the fluctuation intensity at each moment between the any two nodes; The voltage deviation coefficient at each moment between any two nodes is determined by combining the real-time voltage difference and fluctuation intensity at each moment and its historical moments; the voltage deviation coefficient is used to adapt the reactive power situation finally calculated to the difference in the impact of the SVC device on different nodes of the power grid, thereby improving the accuracy of reactive compensation of the SVC device; the voltage deviation coefficient at each moment between the node where the magnetic-pressure hybrid control type dynamic reactive compensation device is located and its adjacent nodes is used, combined with the reactive power of the adjacent nodes at each moment, to obtain the overall reactive power of the magnetic-pressure hybrid control type dynamic reactive compensation device at each moment, and combined with the reactive power of the magnetic-pressure hybrid control type dynamic reactive compensation device at the previous moment at each moment. The reactive power output by the dynamic reactive power compensation device is obtained to obtain the controlled reactive power of the magnetic-pressure hybrid control type dynamic reactive power compensation device at each moment; the neighboring nodes with small communication delay with the SVC device and greatly affected by the SVC device are screened out through the transmission line distance, so as to ensure that the reactive power compensation output by the SVC device can adapt to the real-time changing power grid conditions and is not affected by the data of distant nodes; compared with the traditional SVC device, the present application refers to the overall reactive power situation of the power grid when performing reactive power compensation, so that the final SVC device control result can reduce the overall reactive power size of the power grid and improve the overall power quality of the power grid. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions and advantages in the embodiments of the present application or the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0018] Figure 1 A flowchart of the steps of the intelligent control method of the magnetic-pressure hybrid control type dynamic reactive power compensation device provided in this application; Figure 2 It is a schematic diagram of power grid nodes; Figure 3 It is a schematic diagram of node voltage data fluctuation; Figure 4 A flow chart is determined for controlling reactive power. DETAILED DESCRIPTION

[0019] In order to further explain the technical means and effects adopted by the present application to achieve the predetermined invention purpose, the following is a detailed description of the intelligent control method of the magnetic-pressure hybrid control type dynamic reactive power compensation device proposed in the present application, its specific implementation method, structure, features and effects, in combination with the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" does not necessarily refer to the same embodiment. In addition, specific features, structures or characteristics in one or more embodiments may be combined in any suitable form.

[0020] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.

[0021] The specific scheme of the intelligent control method of the magnetic-pressure hybrid control type dynamic reactive power compensation device provided by the present application is described in detail below with reference to the accompanying drawings.

[0022] An embodiment of the present application provides an intelligent control method for a magnetic-pressure hybrid control type dynamic reactive power compensation device. Specifically, the following intelligent control method for a magnetic-pressure hybrid control type dynamic reactive power compensation device is provided. Figure 1 , the method comprises the following steps: Step S001, collecting the voltage and reactive power of each node in the power grid at each moment, as well as the rated steady-state voltage of each node; obtaining the reactive power output by the magnetic-pressure hybrid control type dynamic reactive compensation device at each moment.

[0023] The power grid is a topological network consisting of multiple nodes. There are lines between different nodes in the network for power transmission. Figure 2 As shown, Figure 2 In the figure, there is a topological network with 30 nodes. There may be lines between different nodes that can directly transmit electricity. Figure 2 The nodes are represented by a circle, and the direct transmission lines are represented by lines. Whether there is a direct transmission line between any two nodes can be queried through the topological structure data. In this embodiment, there are a total of N=800 nodes in the topological structure data.

[0024] At the same time, the transmission line distance between any two nodes can be queried through the topological structure data. The longer the transmission line distance, the longer the shortest path between the two nodes through the transmission line, and the weaker the reactive power mutual response between the two nodes. In addition, the nodes in the power grid usually use power line carrier communication, so the longer the shortest length of the transmission line between the two nodes, the greater the communication delay between the two nodes.

[0025] For each node, this embodiment collects the voltage data of each node at each moment, wherein the sampling frequency is 1 kHz, which can be set by the implementer according to the actual situation, and this embodiment does not impose any restrictions thereon; at the same time, at the same moment when each node collects the voltage data, the reactive power of each node is obtained, and in addition, each node has a rated steady-state voltage.

[0026] The reactive power of each node is a data with positive and negative values. A positive value means that the reactive power output of the node to the grid is inductive reactive power, and the SVC device needs to compensate for the capacitive reactive power output of the grid; conversely, the node outputs capacitive reactive power, and the SVC device needs to output inductive reactive power to compensate. The further the reactive power value deviates from 0, the greater the reactive power.

[0027] For the entire power grid, some nodes will be selected to deploy SVC devices. In this embodiment, K=40 SVC devices are deployed, where each SVC device corresponds to a node in the topological network, that is, there are K nodes in the topological network that are deployed with SVC devices. The implementer can set the value of K according to the actual situation, and this embodiment does not limit it here.

[0028] For each SVC device, its maximum reactive power is obtained, and the reactive power outputted by it at each moment is obtained.

[0029] Step S002, the voltages at all times in a preset time period before each moment of each node are combined into a voltage monitoring vector of each node at each moment; the correlation between the voltage monitoring vectors of any two nodes at each moment in the power grid is analyzed to determine the real-time voltage difference between the any two nodes at each moment.

[0030] Obtain the voltage monitoring vector of each node at each moment, set a preset time period before each moment, take moment t as an example, organize the voltage data of each node at all moments within the preset time period before moment t into a voltage monitoring vector of each node in chronological order. In this embodiment, the length of the preset time period is 1 minute, and the implementer can set it according to the actual situation, and this embodiment does not impose any restrictions on this.

[0031] In the power grid, the current and voltage are mostly alternating current, and the impedance type of the electrical appliances in the power grid has polarity characteristics. Some electrical appliances have capacitive impedance, and some have inductive impedance. This impedance will cause the current and voltage in the power grid to shift in phase, resulting in reactive power, and then line loss and other problems. In this regard, SVC devices are usually used for reactive power compensation. SVC devices can monitor the current and voltage phase problems in the power grid in real time, and output impedance of opposite polarity to the power grid accordingly, adjust the phase difference between current and voltage, and complete reactive power compensation.

[0032] In the process of reactive power compensation of SVC devices, the SVC devices involve the problem of determining the upper limit of compensation capacity. If the upper limit of compensation capacity is too low, it will lead to insufficient reactive power compensation for the power grid and affect the quality of the power grid; if the upper limit of compensation capacity is too high, it may accelerate the aging of SVC devices. Therefore, in the process of reactive power compensation of the power grid, the problem of determining the capacity of SVC devices is involved.

[0033] The existing fixed capacity method usually only adjusts the fixed capacity through the monitoring parameters of a single SVC device, without considering the reactive power demand and voltage stability of the entire power grid, resulting in unreasonable compensation capacity setting and the problem of reduced power quality of the power grid. Therefore, this embodiment adjusts the compensation capacity of the SVC device based on the overall characteristics of the power grid, focusing on the mutual influence of reactive power between nodes in the power grid.

[0034] Generally, when the voltage changes between two nodes are relatively similar, it can be determined that the voltage fluctuations of the two nodes are likely to affect each other. Therefore, this embodiment characterizes the degree of mutual influence between the two nodes by the voltage difference between the two nodes. In addition, when judging the mutual influence between the two nodes, in order to improve the observation accuracy, it is necessary to observe the voltage similarity of the two nodes within a certain period of time.

[0035] Therefore, firstly, the real-time voltage difference between any two nodes at each moment is calculated. The specific calculation method is: ; In the formula, is the real-time voltage difference between node i and node j at time t, is the voltage monitoring vector of node i at time t, is the voltage monitoring vector of node j at time t, and CS() is the cosine similarity calculation function.

[0036] It should be understood that in this embodiment, the real-time voltage difference The value range of is [0, 1]. The real-time voltage difference between any two nodes at each moment is negatively correlated with the cosine similarity of the voltage monitoring vector between the two nodes at each moment. That is, the real-time voltage difference The larger the value is, the greater the difference between the voltage conditions of node i and node j at time t is, and the smaller the mutual influence of the voltage fluctuations of node i and node j is.

[0037] In another embodiment of the present application, the real-time voltage difference between node i and node j at time t is The calculation method is: ; In the formula, Norm[] is the normalization function, which makes the voltage real-time difference The value range of is [0, 1], is the voltage monitoring vector of node i at time t, is the voltage monitoring vector of node j at time t, and CS() is the cosine similarity calculation function.

[0038] Step S003, setting the upper limit voltage and the lower limit voltage of each node based on the rated steady-state voltage; analyzing the distribution of elements greater than the upper limit voltage and the distribution of elements less than the lower limit voltage in the voltage monitoring vector of each node at each moment, and combining the rated steady-state voltage of each node to obtain the fluctuation intensity of each node at each moment.

[0039] The preset percentage in this embodiment is 10%. It is known that each node has a rated steady-state voltage. The rated steady-state voltage of the i-th node is recorded as When the voltage data of the i-th node is greater than 1+10% times or less than 1-10% When , the i-th node will be judged to have a fault. Among them, the upper limit voltage Equal to 1+10% times , lower limit voltage Equal to 1-10% .

[0040] Figure 3 Schematic diagram of node voltage data fluctuation. Figure 3 The horizontal axis is time in seconds, and the vertical axis is voltage in volts. Figure 3 The middle curve is the fitting result of the voltage monitoring vector of the node at time t. Figure 3 There are two dotted lines in the figure, the top dotted line corresponds to the upper limit voltage, and the bottom dotted line corresponds to the lower limit voltage. Figure 3 The voltage monitoring vector in the grid records the fault conditions of the grid nodes, causing the voltage to exceed the upper limit voltage or be lower than the lower limit voltage. This may be because there is a phase difference between the voltage and current of the power line, resulting in a decrease in the power factor, which in turn causes abnormal voltage in the grid. At this time, power compensation is required through the SVC device.

[0041] When the voltage of a node in the power grid is unstable, for example, when the voltage exceeds the upper limit voltage or is lower than the lower limit voltage, it is usually caused by the occurrence of reactive power. At this time, the voltage anomaly of the node with unstable voltage is due to the large phase difference between voltage and current. This phase difference will also be transmitted to other node positions along the transmission line, and the stronger the mutual influence between other node positions and this node, the more obvious the transmission characteristics of this voltage anomaly feature. Therefore, when judging the correlation between nodes, the data at the time of node voltage instability should be given a higher calculation weight to improve the accuracy of node correlation judgment.

[0042] When the voltage at a certain node in the power grid is relatively stable, its voltage fluctuation will not be transmitted to the adjacent nodes. Therefore, a smaller weight should be given to this part of the voltage data to avoid misjudgment that the voltages of the two nodes do not affect each other.

[0043] This embodiment takes the real-time voltage difference between node i and node j at time t as an example. In order to improve the observation accuracy, the real-time voltage difference between node i and node j at all times within 1 hour before time t is obtained, and the voltage difference vector between node i and node j at time t is formed in chronological order. Among them, the length of the voltage difference vector can be set by the implementer according to the actual situation, and this embodiment does not limit it here.

[0044] The voltage difference vector corresponds to the voltage change of node i and node j in the past hour. During this period of time, the voltage fluctuation of node i and node j will change with time. Therefore, this embodiment calculates the fluctuation intensity of each node at each time based on the rated steady-state voltage, upper limit voltage, and lower limit voltage of each node. The specific calculation method is: Taking node i as an example, all elements in the voltage monitoring vector of node i at time t that are greater than the upper limit voltage of node i are obtained, and the cumulative sum of the differences between all elements greater than the upper limit voltage of node i and the upper limit voltage of node i is calculated, which is recorded as the over-upper limit voltage intensity of node i at time t; Similarly, all elements in the voltage monitoring vector of node i at time t that are less than the lower limit voltage of node i are obtained, and the cumulative sum of the differences between all elements less than the lower limit voltage of node i and the lower limit voltage of node i is calculated, which is recorded as the first sum value, that is, the super-lower limit voltage intensity of node i at time t.

[0045] It should be noted that the difference represents the degree of difference between two variables, and can be calculated by the absolute value of the difference, the square of the difference, the ratio, etc. In this embodiment, the absolute value of the difference is used as the calculation method of the difference, that is, the super-lower limit voltage intensity of the node i at time t is the cumulative sum of the absolute values ​​of the differences between all elements less than the lower limit voltage of the node i and the lower limit voltage of the node i.

[0046] Calculate the sum of the voltage intensity exceeding the upper limit and the voltage intensity exceeding the lower limit at the node i at the moment t, record it as the second sum, calculate the ratio of the second sum to the number of elements in the voltage monitoring vector at the node i at the moment t, and then divide it by the rated steady-state voltage of the node i to obtain the fluctuation intensity of the node i at the moment t.

[0047] The stronger the fluctuation intensity of node i at time t, the greater the phase difference between the current and voltage at node i at time t, and the greater the possibility that reactive power will be transmitted to other node positions through current and voltage. Therefore, the information represented by the element at the corresponding time in the voltage difference vector can better reflect the mutual influence relationship between node i and other nodes, and a higher fluctuation propagation weight should be given to this element.

[0048] The same calculation method as the fluctuation intensity of node i at time t is used to obtain the fluctuation intensity of each node at each time.

[0049] Step S004, integrating the fluctuation strength of any two nodes at each moment to obtain a unified value of the fluctuation strength between any two nodes at each moment; combining the real-time voltage difference between any two nodes at each moment and their historical moments with the unified value of the fluctuation strength to determine the voltage deviation coefficient between any two nodes at each moment.

[0050] This embodiment characterizes the voltage fluctuation intensity at different moments by calculating the fluctuation propagation weight, and assigns a higher weight to the moment when the voltage fluctuation changes greatly, so as to improve the accuracy of node correlation judgment.

[0051] Taking the fluctuation intensity of node i and node j at time t as an example, the average of the fluctuation intensity of node i and node j at time t is calculated, which is recorded as the unified value of the fluctuation intensity between node i and node j at time t. For the voltage difference vector between node i and node j at time t, the sum of the unified values ​​of the fluctuation intensity of all elements in the voltage difference vector at corresponding times is calculated, which is recorded as the third sum. The ratio of the unified value of the fluctuation intensity of each element in the voltage difference vector at the corresponding time to the third sum is used as the fluctuation propagation weight of each element in the voltage difference vector, thereby completing the normalization operation of the unified value of the fluctuation intensity.

[0052] The larger the fluctuation propagation weight is, the larger the reactive power of node i and node j is at the time when the corresponding element in the voltage difference vector is located, and the corresponding time is the time when the voltage fluctuations of node i and node j affect each other. At this time, the voltage fluctuations of node i and node j are more reliable for judging the correlation between the two.

[0053] Finally, for the voltage difference vector between node i and node j at time t, the voltage difference vector is weighted and summed with the fluctuation propagation weight as the weight to obtain the voltage deviation coefficient between node i and node j at time t. The larger the voltage deviation coefficient, the weaker the mutual influence between node i and node j. When reactive power compensation is performed through the SVC device, the possibility of synchronous changes in node i and node j due to reactive power compensation measures is smaller, and node i and node j should not be considered as a whole.

[0054] By using the same calculation method for the voltage deviation coefficient between node i and node j at time t, the voltage deviation coefficient at each time between any two nodes can be obtained.

[0055] Step S005, using the voltage deviation coefficient between the node where the magnetic-pressure mixed control type dynamic reactive compensation device is located and its adjacent nodes at each moment, combined with the reactive power of the adjacent nodes at each moment, to obtain the overall reactive power of the magnetic-pressure mixed control type dynamic reactive compensation device at each moment, combined with the reactive power output of the magnetic-pressure mixed control type dynamic reactive compensation device at the previous moment at each moment, to obtain the controlled reactive power of the magnetic-pressure mixed control type dynamic reactive compensation device at each moment.

[0056] Each SVC device arranged in the topological network corresponds to a node in the topological network. For example, the kth SVC device corresponds to the kth node in the topological network. The existing method only focuses on the kth node when regulating the kth SVC device. The reactive power situation of each node is Reactive power compensation is performed on each node, resulting in unreasonable setting of compensation capacity.

[0057] When performing reactive power adjustment on the kth SVC device, this embodiment also takes into account the impact of the kth SVC device on the entire power grid, so that the reactive power compensation of the SVC device can refer to the reactive power situation of the entire power grid, thereby obtaining a better overall reactive power compensation effect.

[0058] Therefore, at time t, taking any SVC device as an example, for example, the node where any SVC device is located is node i, the inverse of the voltage deviation coefficient between node i and the neighboring nodes of node i at time t is calculated. In this embodiment, the neighboring nodes are the R nodes closest to the transmission line of node i among all the nodes in the power grid. In this embodiment, R=49, and the implementer can set it according to the actual situation. This embodiment does not limit it here.

[0059] Calculate the sum of the reciprocals of the voltage deviation coefficients between node i and its R neighboring nodes at time t, record it as the fourth sum, calculate the ratio of the reciprocal of the voltage deviation coefficients between node i and each of its neighboring nodes at time t to the fourth sum, and use it as the normalized result of the reciprocal of the voltage deviation coefficients between node i and each of its neighboring nodes at time t.

[0060] The normalized result of the inverse of the voltage deviation coefficient between node i and each neighboring node of node i at time t is used as the weight, and the reactive power of all neighboring nodes of node i at time t is weighted and summed to obtain the overall reactive power of any SVC device.

[0061] The calculation of the overall reactive power is concentrated on the neighboring nodes connected to any of the SVC devices. The advantages of this calculation method are: improving the response speed, by reducing communication delays, it can ensure that the adjustment of reactive power can quickly respond to the needs of the power grid, thereby maintaining the quality of electricity. In addition, it can also reduce the impact of interference. The reactive power generated by the SVC device will gradually decay during the transmission process, and the impact on the nodes far away from the SVC device is small, so there is no need to consider these nodes too much.

[0062] Finally, the overall reactive power obtained represents the reactive power of the entire power grid at the node i where any of the SVC devices is located at time t. A positive value indicates that the overall reactive power of the power grid at the node i is inductive reactive power, and the SVC device needs to compensate for the capacitive reactive power output of the power grid; conversely, a negative value indicates that the power grid is capacitive reactive power, and the SVC device needs to output inductive reactive power for compensation. The further the overall reactive power value deviates from 0, the greater the reactive power deviation of the power grid.

[0063] Therefore, in this embodiment, the reactive power output by any SVC device at time t-1 plus the overall reactive power at time t is used as the controlled reactive power of any SVC device at time t to control the SVC device. Figure 4 shown.

[0064] It should be noted that if the controlled reactive power is less than the inverse of the maximum reactive power of any of the SVC devices, the controlled reactive power is equal to the inverse of the maximum reactive power of any of the SVC devices; conversely, if the controlled reactive power is greater than the maximum reactive power of any of the SVC devices, the controlled reactive power is equal to the maximum reactive power of any of the SVC devices, so as to avoid overload of the SVC device.

[0065] The same calculation method as that for the controlled reactive power of any SVC device at time t is adopted to obtain the controlled reactive power of each SVC device at each time, thereby completing the intelligent control of the SVC device.

[0066] It should be noted that the above sequence of the embodiments of the present application is for description only and does not represent the advantages and disadvantages of the embodiments. The above is a description of a specific embodiment of this specification. In addition, the processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0067] The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referenced to each other, and each embodiment focuses on the differences from other embodiments.

[0068] The embodiments described above are only used to illustrate the technical solutions of the present application, rather than to limit them. Modifications to the technical solutions recorded in the aforementioned embodiments, or equivalent replacement of some of the technical features therein, do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. An intelligent control method for a magnetic-pressure hybrid control type dynamic reactive power compensation device, characterized in that: The method comprises the following steps: Collect the voltage and reactive power of each node in the power grid at each moment, as well as the rated steady-state voltage of each node; obtain the reactive power output by the magnetic-pressure hybrid control type dynamic reactive compensation device at each moment; The voltages of all the nodes at all times within a preset time period before each time are combined into a voltage monitoring vector of each node at each time; the correlation between the voltage monitoring vectors of any two nodes at each time in the power grid is analyzed to determine the real-time voltage difference between the two nodes at each time; The upper and lower voltage limits of each node are set based on the rated steady-state voltage; the distribution of elements greater than the upper voltage limit and the distribution of elements less than the lower voltage limit in the voltage monitoring vector of each node at each time are analyzed, and the fluctuation intensity of each node at each time is obtained in combination with the rated steady-state voltage of each node; The fluctuation strengths of the two arbitrary nodes at each moment are integrated to obtain a unified value of the fluctuation strength between the two arbitrary nodes at each moment; the voltage deviation coefficient between the two arbitrary nodes at each moment and at their historical moments is determined by combining the real-time voltage difference between the two arbitrary nodes at each moment and the unified value of the fluctuation strength; The voltage deviation coefficient at each moment between the node where the magnetic-pressure mixed-control type dynamic reactive compensation device is located and its adjacent nodes is used, combined with the reactive power of the adjacent nodes at each moment, to obtain the overall reactive power of the magnetic-pressure mixed-control type dynamic reactive compensation device at each moment, and combined with the reactive power output by the magnetic-pressure mixed-control type dynamic reactive compensation device at the previous moment, to obtain the controlled reactive power of the magnetic-pressure mixed-control type dynamic reactive compensation device at each moment.

2. The intelligent control method of the magnetic-pressure hybrid control type dynamic reactive power compensation device according to claim 1, characterized in that: The determination of the real-time voltage difference includes: The similarity between the voltage monitoring vectors of the arbitrary two nodes at each time is calculated, and the real-time voltage difference is negatively correlated with the similarity.

3. The intelligent control method of the magnetic-pressure hybrid control type dynamic reactive power compensation device according to claim 2 is characterized in that: The calculation method of the voltage real-time difference is: ; In the formula, is the real-time voltage difference between node i and node j at time t, is the voltage monitoring vector of node i at time t, is the voltage monitoring vector of node j at time t, and CS() is the cosine similarity calculation function.

4. The intelligent control method of the magnetic-pressure hybrid control type dynamic reactive power compensation device according to claim 1, characterized in that: The step of setting the upper limit voltage and the lower limit voltage of each node based on the rated steady-state voltage includes: The sum and difference of the value 1 and the preset percentage are calculated respectively, the upper limit voltage is the product of the rated steady-state voltage and the sum, and the lower limit voltage is the product of the rated steady-state voltage and the difference.

5. The intelligent control method of the magnetic-pressure hybrid control type dynamic reactive power compensation device according to claim 1, characterized in that: The determination of the fluctuation intensity includes: For each node, the cumulative sum of the differences between all elements in the voltage monitoring vector at each moment that are greater than the corresponding upper limit voltage and the upper limit voltage is calculated, and the sum of the differences between all elements in the voltage monitoring vector at each moment that are less than the corresponding lower limit voltage and the lower limit voltage is calculated, which is recorded as the first sum; A sum of the accumulated sum and the first sum is calculated and recorded as a second sum. The fluctuation intensity is determined based on the second sum, the number of elements in the voltage monitoring vector, and the rated steady-state voltage of the corresponding node.

6. The intelligent control method of the magnetic-pressure hybrid control type dynamic reactive power compensation device according to claim 5, characterized in that: The multiplication result of the number of elements in the voltage monitoring vector of each node at each time and the rated steady-state voltage is calculated, and the fluctuation intensity is the ratio of the second sum value of each node at each time to the multiplication result.

7. The intelligent control method of the magnetic-pressure hybrid control type dynamic reactive power compensation device according to claim 1, characterized in that: The unified value of the fluctuation intensity is the average value of the fluctuation intensity of any two nodes at each moment.

8. The intelligent control method of the magnetic-pressure hybrid control type dynamic reactive power compensation device according to claim 1, characterized in that: Determination of the voltage deviation coefficient includes: The voltage deviation coefficient is obtained by taking the normalized result of the unified value of the fluctuation intensity at each moment and at the historical moment between the arbitrary two nodes as the weight and performing weighted summation on the real-time voltage difference at each moment and at the historical moment between the arbitrary two nodes.

9. The intelligent control method of the magnetic-pressure hybrid control type dynamic reactive power compensation device according to claim 1, characterized in that: The determination of the overall reactive power includes: The normalized value of the inverse of the voltage deviation coefficient between the node where the magnetic-pressure hybrid control type dynamic reactive compensation device is located and its adjacent nodes at each moment is used as the weight, and the overall reactive power is the weighted sum of the reactive powers of all the adjacent nodes at each moment.

10. The intelligent control method of the magnetic-pressure hybrid control type dynamic reactive power compensation device according to claim 1, characterized in that: The controlled reactive power is the sum of the overall reactive power of the magnetic-pressure hybrid control type dynamic reactive compensation device at each moment and the reactive power output at the previous moment.

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