Power transmission line load dynamic optimization method and system

Abstract

The invention discloses a power transmission line load dynamic optimization method and system. The method comprises the following steps: S1, data acquisition: acquiring a real-time current value and a real-time voltage value of a power transmission line; s2, calculating the real-time load power of the power transmission line according to the obtained current value and voltage value; s3, comparing the calculated real-time load power with rated load power of the power transmission line to obtain a load rate; s4, comparing the obtained load rate with a standard load interval of the power transmission line, and judging whether the load rate is within the standard load interval or not; s5, judging whether the load rate is greater than or less than a standard load interval; and S6, judging whether the continuous number of times of high-load optimization is greater than or equal to n or not. The current and voltage values are collected in real time, the load power is calculated, the load rate is compared with the standard load interval, the abnormal condition of the load is found in time, the load is dynamically optimized, and the fault of the line caused by overload is avoided; line low-load operation is prevented from affecting power transmission efficiency.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of power transmission lines, in particular to a power transmission line load dynamic optimization method and system. BACKGROUND

[0002] Power transmission lines are an important part of the power system, responsible for safely and efficiently distributing power from the power transmission network to various users. As the scale of the power system continues to expand, the operating environment of power transmission lines becomes increasingly complex.

[0003] In the prior art, a power distribution network intelligent reconstruction method and system are disclosed in Chinese patent document CN119010024A. The method includes: collecting historical operation data and real-time monitoring data sets of the power distribution network, performing multi-dimensional dynamic optimization processing on the collected data sets to generate a high-dimensional feature matrix; based on the high-dimensional feature matrix, analyzing the topology structure of the power distribution network, mining the potential association between each node and its adjacent nodes, and identifying the key node importance and line vulnerability information in the topology structure; using the key node importance and line vulnerability information, combining environmental information and historical load trends, using a bidirectional long short-term memory network to predict the load, and generating a load distribution scheme, and reconstructing the load of the power distribution network nodes according to the load distribution scheme; the above method realizes load prediction and distribution through data collection and intelligent algorithms, but still has obvious technical limitations. This method mainly relies on historical data for prediction, and is difficult to respond to the instantaneous changes of the power transmission line load in a timely manner, and lacks a dynamic monitoring and rapid adjustment mechanism for the line load state.

[0004] The load conditions of different power transmission lines differ greatly, some lines may be in a low-load operating state for a long time, affecting the power transmission efficiency; while some lines are often overloaded, affecting the service life of the transmission line, and even causing failures. Therefore, it is necessary to improve the above-mentioned method to overcome the above-mentioned defects. SUMMARY

[0005] The purpose of the present application is to provide a power transmission line load dynamic optimization method and system, which is used to solve the problem that the load conditions of different power transmission lines differ greatly, some lines may be in a low-load operating state for a long time, affecting the power transmission efficiency; while some lines are often overloaded, affecting the service life of the transmission line, and even causing failures.

[0006] The above technical purpose of the present application is achieved by the following technical solution:

[0007] The method comprises the following steps: S1, collecting data: collecting real-time current value and voltage value of the power transmission line; S2, calculating real-time load power of the power transmission line according to the obtained current value and voltage value; S3, comparing the calculated real-time load power with the rated load power of the power transmission line to obtain a load rate;

[0008] S4, comparing the obtained load rate with a standard load interval of the power transmission line to determine whether the load rate is located in the standard load interval; if the load rate is located in the standard load interval, determining whether the time interval from the last data collection is greater than T; if not, continuing to determine whether the time interval from the last data collection is greater than T; if yes, re-executing step S1; if the load rate is not in the standard load interval, executing the next step;

[0009] S5, determining whether the load rate is greater than or less than the standard load interval; if the load rate is less than the standard load interval, actively matching the load demand, increasing the load of the power transmission line, or transferring the over-standard load of the remaining power transmission lines to the current power transmission line, and returning to execute step S4; if the load rate is higher than the standard load interval, transferring the part of the load higher than the standard load interval to the remaining power transmission lines with low load for transmission, increasing the continuous number of high load optimization by one, and clearing the non-continuous number, and executing the next step;

[0010] S6, determining whether the continuous number of high load optimization is greater than or equal to n; if the continuous number is less than n, or the load rate is less than a threshold value, returning to execute step S4; if the continuous number is greater than or equal to n, and the load rate is greater than the threshold value, disconnecting the power transmission line.

[0011] The expression of step S2 for calculating the real-time load power of the power transmission line is as follows:

[0012] P = √3 · U · I · cosφ (1)

[0013] Wherein, P represents the real-time load power, U is the voltage of the power transmission line, I is the current of the power transmission line, and cosφ is the power factor.

[0014] The expression of step S3 for calculating the load rate is as follows:

[0015]

[0016] Wherein, λ represents the load rate, P is the real-time load power, and P1 represents the rated load power of the power transmission line.

[0017] The range of the standard load interval in step A4 is 40-70%, the time interval T is set to 30 min; the continuous number n in step A4 is set to 5 times; in step A6, the threshold value is greater than 95%.

[0018] A power transmission line load dynamic optimization system, comprising a power transmission line, the power transmission line is provided with a plurality of power transmission lines for transmitting power; a collection unit, the data collection end of the collection unit is connected with the power transmission line, and the collection unit is used for acquiring current value and voltage value of the power transmission line; a processing unit, the data input end of the processing unit is connected with the collection unit, the processing unit is used for receiving the current value and voltage value acquired by the collection unit, and processing the current value and voltage value, and sending the processing result to the execution unit; an execution unit, the data output end of the processing unit is connected with the execution unit, the execution unit is used for receiving the processing result sent by the processing unit, generating control instructions according to the processing result, and adjusting the working state of the power transmission line through the control instructions.

[0019] The further arrangement of the present application is that a circuit breaker is arranged on the power transmission line, the signal input end of the circuit breaker is connected with the execution unit, and the circuit breaker is used for controlling the on-off of the power transmission line.

[0020] In summary, the present application has the following beneficial effects:

[0021] By collecting current and voltage values in real time and calculating load power, the real-time load condition of the power transmission line can be accurately mastered; by comparing the load rate with the standard load interval, abnormal load conditions can be found in time, load dynamic optimization can be carried out, line faults caused by overload can be avoided, and the stability and reliability of power transmission can be ensured; or the influence of low load operation of the line on power transmission efficiency can be avoided. BRIEF DESCRIPTION OF DRAWINGS

[0022] Figure 1 It is the flow chart of the dynamic optimization method of the present application.

[0023] Figure 2 It is a schematic diagram of the dynamic optimization system of the present application. DETAILED DESCRIPTION

[0024] In order to make the technical means, creative features, purposes and effects realized by the present application easy to understand, the present application will be further described below in combination with the drawings and specific embodiments.

[0025] In the prior art, the power transmission line has the following problems: some lines are in a low load state for a long time, resulting in low resource utilization; and some lines are frequently overloaded, accelerating equipment aging and increasing the risk of failure. The traditional method mainly adopts static load prediction and periodic maintenance strategy, which cannot respond to load fluctuation in real time, and has problems such as regulation lag, misjudgment risk and the like. For example, in a certain city, local lines are often overloaded during peak period, while adjacent lines are idle. The existing system is difficult to adjust the load distribution in time, resulting in a decrease in power supply reliability.

[0026] In order to solve the above problems, a load optimization mechanism capable of real-time monitoring and dynamic adjustment is needed. In the prior art, although the load prediction model can provide trend reference, it cannot cope with sudden load changes; the fixed threshold judgment method is easy to trigger false operation due to instantaneous fluctuations. Through analysis, it is found that the combination of real-time data acquisition and continuous state judgment can effectively distinguish between temporary fluctuations and persistent abnormalities. In addition, a hierarchical control strategy is established, and different load transfer measures are taken according to different load deviation directions, which can balance efficiency and safety. Based on this, a technical scheme for dynamic optimization through periodic data updating, load rate interval comparison and continuous optimization times judgment is gradually formed.

[0027] Embodiment 1:

[0028] As Figure 1 shown, the power transmission line load dynamic optimization method proposed by the application comprises,

[0029] S1: Collecting data: collecting real-time current value and voltage value of the power transmission line; providing data support for post-state calculation.

[0030] S2: Calculating the real-time load power of the power transmission line according to the current value and voltage value obtained in step S1.

[0031] S3: Comparing the real-time load power calculated in step S2 with the rated load power of the power transmission line to obtain a load rate; the load rate is used to reflect the current carrying state of the line.

[0032] S4: Comparing the load rate obtained in step S3 with the standard load interval of the power transmission line to determine whether the load rate is within the standard load interval; when the load is normal, periodic data collection is used to maintain monitoring, and when the load is abnormal, the control mechanism is triggered.

[0033] If the load rate is within the standard load interval, it is determined whether the time since the last data collection is greater than T, if not, it is determined whether the time interval since the last data collection is greater than T; if it is greater than T, step S1 is re-executed; if the load rate is not within the standard load interval, the next step is executed.

[0034] S5: Determine whether the load rate is greater than or less than the standard load interval; actively increase the utilization rate or transfer the overload of other lines in low load, and start load transfer in high load.

[0035] If the load rate is less than the standard load interval, actively match the load demand, increase the load of the power transmission line, or transfer the overload of the remaining power transmission lines to the current power transmission line, and return to execute step S4;

[0036] If the load rate is higher than the standard load interval, the part of load higher than the standard load interval is transferred to the remaining low-load transmission line for transmission, the continuous number of high-load optimization is increased by one, the discontinuous number is cleared, and the next step is executed.

[0037] S6: Determine whether the continuous number of high-load optimization is greater than or equal to n. If the continuous number is less than n, or the load rate is less than the threshold value, return to step S4; if the continuous number is greater than or equal to n, and the load rate is greater than the threshold value, disconnect the transmission line.

[0038] The power grid load can be temporarily increased due to short-time equipment start-up, sudden peak electricity consumption, etc., but it is not a persistent risk. Set the continuous number n as the fault tolerance threshold to avoid misjudgment caused by single or accidental high load, resulting in unnecessary power failure. The value of n determines the tolerance of the system to high load - the smaller n (such as n = 1), the more sensitive the system, suitable for scenarios with zero tolerance to overload; the larger n (such as n = 5), the more stable the system, suitable for scenarios with large load fluctuations but allowing short-time adjustment. The value of n can be set according to the power supply object of the transmission line.

[0039] In summary, the transmission line load dynamic optimization method proposed in the present application effectively balances the load distribution among multiple lines by real-time calculation of the load rate and comparison with the standard interval, dynamically transferring the over-standard load to low-load transmission lines, or increasing the load of low-load transmission lines, effectively balancing the load distribution among multiple lines, avoiding resource waste caused by overloading of some transmission lines and low load of other transmission lines.

[0040] In addition, the high-load transmission line adopts a circuit breaking strategy (disconnecting the line after n consecutive high loads), which can prevent equipment overheating, insulation aging, and even power failure caused by long-term overload, ensuring stable operation of the power grid; by setting the data collection interval T, the collection frequency is controlled when the load rate is normal to avoid excessive frequency, and the adjustment is triggered immediately when abnormal, balancing system efficiency and real-time performance; reducing transmission line loss caused by uneven load (such as increased overload transmission line loss and insufficient utilization of low-load transmission lines), reducing overall transmission energy consumption, and improving energy utilization efficiency.

[0041] Embodiment 2:

[0042] Specifically, the expression for calculating the real-time load power of the transmission line in step S2 is as follows:

[0043] P = √3 · U · I · cosφ; (1)

[0044] where P represents the real-time load power, U is the voltage of the transmission line (unit: kilovolt, kV), I is the current of the transmission line (unit: ampere, A), and cosφ is the power factor, which is 0.9. Substitute the current value and voltage value obtained in step A1 into formula (1) to obtain the active power of the current transmission line.

[0045] Embodiment 3:

[0046] Specifically, the expression for calculating the load rate in step S3 is as follows:

[0047]

[0048] wherein λ represents the load rate, P is the real-time load power calculated by formula (1), and P1 represents the rated load power of the power transmission line, which is 500 (unit: megawatt, MW). The load rate reflects the current load condition of the power transmission line.

[0049] Compared with the prior art, the existing method usually relies on absolute power values or non-standardized load indicators, which makes it difficult to compare the load states of different lines horizontally and limits the efficiency of dynamic adjustment. By introducing the load rate in percentage form, the correlation between real-time load and rated load is standardized, so that the load state judgment is no longer limited by the differences in inherent parameters of the line, thereby improving the accuracy and consistency of dynamic optimization. The present application solves the problem of inaccurate quantification of the load state of the power transmission line, and unifies the load state judgment standard of different lines through the load rate in percentage form, providing accurate basis for dynamic adjustment.

[0050] Embodiment 4:

[0051] Specifically, the standard load interval in step A4 has a value range of 40-70%. The standard load interval refers to the power range that the power transmission line is allowed to continuously operate, and by setting the lower limit of 40%, the line is prevented from being in a long-term low-efficiency idle state, and by setting the upper limit of 70%, a safety margin is reserved for instantaneous load fluctuations. The time interval refers to the minimum waiting period for two load state judgment operations, and can be realized by a timer module for periodic detection. By setting a threshold of 30 minutes, the real-time monitoring requirement and the system stability requirement are balanced.

[0052] When the real-time load rate first exceeds the 40-70% interval, the system starts the time interval judgment mechanism. If the abnormal load state lasts for less than 30 minutes, it is considered to be a short-term fluctuation and is not processed; when the abnormal state lasts for more than 30 minutes, the load adjustment program is triggered. This mechanism filters accidental load fluctuations through time buffering and only optimizes persistent abnormalities, ensuring that the equipment utilization rate is in the efficient interval and avoiding power system shocks caused by frequent adjustments.

[0053] Compared with the prior art, the existing power distribution network reconstruction method relies on real-time data for dynamic adjustment of the load, lacks a judgment standard for the persistence of the load state, and is prone to frequent issuance of control instructions. The present application establishes a load state persistence judgment standard by quantifying the standard load interval and the time threshold, effectively distinguishes between short-term fluctuations and real load abnormalities, and reduces the number of invalid control times.

[0054] By the technical solution, the application effectively solves the problem of low equipment utilization caused by long-term deviation of the load rate of the power transmission line from the reasonable interval, and at the same time, the time threshold is set to block the false regulation caused by short-term fluctuation, and the stability of the power system operation is maintained. When the line load rate is less than 40% for 30 minutes, the load utilization is improved; when the load rate is higher than 70% for 30 minutes, the load is transferred. Within the standard load range, the power transmission line can operate stably. If it exceeds the standard load range, the line load is too large, the current is too large, and the heat generated is too much, when the heat cannot be dissipated in time, the temperature of the power transmission line will rise sharply, causing the aging of the power transmission line to accelerate, and even causing a short circuit fault, seriously affecting the safe operation of the power grid. If it exceeds the standard load range, the current is too small, causing the relative loss of electric energy to rise, affecting the power transmission efficiency.

[0055] The time interval T is set to 30 minutes. If the interval T is not set, the collection unit will continuously collect and process data. This will cause the resources of the processing unit to be occupied a lot, increasing the operating load of the processing unit. After setting the interval T, data collection is performed again only when the time since the last data collection is greater than T, thereby effectively reducing the number of unnecessary data collection and reducing the burden on the processing unit.

[0056] Embodiment 5:

[0057] Specifically, in step A6, the continuous number n is set to 5 times. The continuous number n refers to the number of continuous high-load optimization judgments required to trigger the line disconnection operation, which is used to record the number of continuous occurrences of the load rate exceeding the standard load range. By setting a fixed number, a continuous judgment mechanism is established to avoid false judgments caused by single load fluctuation.

[0058] Specifically, when the load rate of the power transmission line first exceeds the standard load range, the execution unit starts the load transfer operation and begins counting. After each load rate detection period ends, if the load rate is still higher than the standard load range, the continuous number is increased by one. When five consecutive detections show that the load rate is out of standard and cannot be reduced by load transfer, the execution unit triggers the line disconnection instruction. In this process, if the load rate is found to fall within the standard load range at any intermediate detection, the continuous number is automatically reset to zero.

[0059] Embodiment 6:

[0060] Specifically, in step A6, the threshold value (such as load rate > 95%). The threshold value refers to the critical point of the load rate that triggers the disconnection protection action of the power transmission line, which is used to judge whether the load rate reaches the dangerous level that requires forced disconnection, and its value is set to be higher than the upper limit value of the standard load range. The threshold value is used to distinguish between transient load fluctuation and persistent overload state, preventing false operation caused by short-term load fluctuation.

[0061] Specifically, when the real-time load rate of the power transmission line exceeds 95%, the system will perform a high-load optimization process. In this process, if the load rate is higher than the threshold value in a plurality of consecutive detection periods, it is determined that there is persistent overload, triggering line disconnection protection. For example, if the load rate exceeds 95% in 5 consecutive detections, the circuit breaking operation is performed. This mechanism allows the line to withstand short-term load fluctuations within a safety margin, and can also timely cut off persistent overload lines that have overheat risks.

[0062] Compared with the prior art, the traditional scheme usually only sets a single threshold for overload judgment, such as directly using the rated load power as the tripping threshold, resulting in low utilization of line capacity. However, the present scheme introduces a threshold value higher than the standard load interval, and cooperates with the consecutive number judgment, which can fully utilize the short-term overload capacity of the power transmission line under the premise of ensuring the safety of the equipment. In addition, the existing technology does not consider the difference between instantaneous load fluctuation and persistent overload, which is easy to cause frequent tripping due to accidental peak value. The present scheme effectively avoids such problems through continuous judgment in the time dimension.

[0063] Through the above technical scheme, the present application solves the problem of misjudgment caused by instantaneous fluctuation under high load condition, while ensuring the rapid response to persistent overload. The combination of threshold value setting and consecutive number judgment enables the system to accurately distinguish between temporary load fluctuation and dangerous overload state of the line, avoiding unnecessary power-off operation, and timely cutting off the circuit before the equipment reaches the critical state, thereby improving the power transmission efficiency while ensuring the safety of the equipment.

[0064] Embodiment 7:

[0065] As shown in Figure 2 A power transmission line load dynamic optimization system for executing a power transmission line load dynamic optimization method, comprising a power transmission line, the power transmission line being provided with a plurality of power transmission lines, the power transmission lines being used for transmitting power; the dynamic adjustment of the load is realized through the plurality of power transmission lines, avoiding that the load of a single power transmission line is too high;

[0066] A collection unit, the data collection end of the collection unit being connected with the power transmission line, the collection unit being used for acquiring the current value and the voltage value of the power transmission line, and providing data support for dynamic optimization; the collection unit comprises a current transformer and a voltage transformer.

[0067] A processing unit, the data input end of the processing unit being connected with the collection unit, the processing unit being used for receiving the current value and the voltage value acquired by the collection unit, and processing the current value and the voltage value, and sending the processing result to an execution unit.

[0068] The processing unit refers to an operation module for performing load state analysis, and can be implemented by an embedded processor combined with a power calculation algorithm, so as to convert the original electric signal into a load rate index and provide a quantitative basis for load regulation decision.

[0069] The execution unit is connected with the data output end of the processing unit, and is used for receiving the processing result sent by the processing unit, generating a control instruction according to the processing result, and adjusting the working state of the power transmission line through the control instruction.

[0070] Specifically, the execution unit generates a line on-off instruction or a load transfer signal according to the processing result, so as to realize active adjustment of the working state of the power transmission line.

[0071] In summary, the core principle of the dynamic optimization system is to realize dynamic optimization of the load of the power transmission line through the closed-loop control of “collection-processing-execution-regulation optimization”. Specifically, the collection unit continuously monitors the current and voltage parameters of each power transmission line and transmits the original data to the processing unit. The processing unit processes the data based on the preset power calculation formula, calculates the real-time load power and the corresponding load rate. When the load rate exceeds the standard interval, the processing unit generates a load regulation instruction and sends it to the execution unit. The execution unit selects the corresponding control strategy according to the instruction type: for low-load lines, trigger the load access or transfer operation; for high-load lines, start the load shunt mechanism. The units form a closed-loop control through data interaction, automatically trigger the adjustment action when the load rate deviates from the safe range, and return to the standard interval until the load state returns to the standard interval.

[0072] Embodiment 8:

[0073] Further comprising a circuit breaker, the circuit breaker is arranged on the power transmission line, and the signal input end of the circuit breaker is connected with the execution unit, and the circuit breaker is used for controlling the on-off of the power transmission line.

[0074] When the load of the power transmission line is still high after multiple dynamic optimizations, it proves that all the power transmission lines are in a high-load state at this time, and there is no redundant capacity to transfer the load, and the execution unit triggers the circuit breaker to cut off the power transmission line according to the threshold value.

[0075] In some embodiments: taking two power transmission lines (L1, L2) of a certain power grid as an example, the rated load power of a single power transmission line is 500 MW, the power factor cosφ is 0.9, the standard load interval is set to 40%-70%, the data collection interval T is 30 min, the continuous number of high-load threshold n is 5, and the threshold value is load rate > 95%.

[0076] The power transmission line L1 and the power transmission line L2 run in parallel, and each power transmission line is equipped with a collection unit. The collection unit collects the current and voltage data of the power transmission line L1 and the power transmission line L2, and transmits the data to the processing unit.

[0077] The processing unit deployed in the power grid dispatching center calculates the real-time load power according to the obtained current and voltage data substituted into formula (1). For example, at a certain moment, the current I of the power transmission line L1 is 800 A, the voltage U is 220 kV, the current I of the power transmission line L2 is 600 A, and the voltage U is 220 kV.

[0078] According to formula (1) P = √3 · U · I · cosφ, the real-time load power of each line is calculated:

[0079] Power transmission line L1: P = √3 × 220 × 800 × 0.9 ≈ 274.35 MW;

[0080] Power transmission line L2: P = √3 × 220 × 600 × 0.9 ≈ 205.76 MW;

[0081] Then, according to the comparison between the calculated real-time load power and the rated load power of the power transmission line, the load rate is obtained:

[0082] L1: (274.35 / 500) × 100% ≈ 54.87%;

[0083] L2: (205.76 / 500) × 100% ≈ 41.15%.

[0084] At this time, the power transmission line L1 and the power transmission line L2 are both in the standard load interval (40-70%), indicating that the current operating state is reasonable, and there is no need to adjust the load, and the monitoring can continue.

[0085] In some embodiments: taking two power transmission lines of the same power grid (L1, L2) as an example, the rated load power of a single power transmission line is 500 MW, the power factor cosφ = 0.9, the standard load interval is set to 40%-65%, the data collection interval T = 30 min, the continuous number of high load threshold n = 5, and the threshold value is load rate > 95%.

[0086] The power transmission line L1 and the power transmission line L2 run in parallel, and each power transmission line is equipped with a collection unit to collect the current and voltage data of the single collection power transmission line L1 and the power transmission line L2, and transmit the data to the processing unit.

[0087] The processing unit deployed in the power grid dispatching center calculates the real-time load power according to the obtained current and voltage data substituted into formula (1). For example, at a certain moment, the current I of the power transmission line L1 is 800 A, the voltage U is 220 kV, the current I of the power transmission line L2 is 600 A, and the voltage U is 220 kV.

[0088] According to formula (1), the real-time load power of each line is calculated:

[0089] Transmission line L1: P = √3 x 220 x 1000 x 0.9 = 342.94 MW;

[0090] Transmission line L2: P = √3 x 220 x 800 x 0.9 = 274.35 MW.

[0091] Then, according to the comparison between the calculated real-time load power and the rated load power of the transmission line, substitute into formula (2), the load rate is obtained:

[0092] L1: (342.94 / 500) x 100% = 68.59%;

[0093] L2: (274.35 / 500) x 100% = 54.87%.

[0094] At this time, the load rate of transmission line L1 is higher than the lower limit (40%) of the standard load interval, and exceeds the upper limit (65%) of the standard load interval, and is in a high load operation state.

[0095] The load rate of transmission line L2 is higher than the lower limit (40%) of the standard load interval, but does not exceed the upper limit (65%) of the standard load interval, and is in a normal operation state.

[0096] The processing unit sends control instructions to the execution unit to transfer the excess load of transmission line L1 to transmission line L2, and the load rate of transmission line L1 after adjustment is 65%, and the load rate of transmission line L1 is 58.46%, at this time, the continuous number of high load optimization is one, and the two transmission lines are in a normal operation state after adjustment.

[0097] In some embodiments: taking two transmission lines of the same power grid as an example (L1, L2), the rated load power of a single transmission line is 300 MW, the power factor cosφ = 0.9, the standard load interval is set to 40%-70%, the data collection interval T = 30 min, the continuous number of high load optimization threshold n = 5, and the threshold value is load rate > 95%.

[0098] Transmission line L1 and transmission line L2 run in parallel, and each transmission line is equipped with a collection unit to collect current and voltage data of a single collection transmission line L1 and transmission line L2, and transmit the data to the processing unit.

[0099] The processing unit deployed in the power grid dispatching center substitutes the obtained current and voltage data into formula (1) to calculate the real-time load power. For example, at a certain time, the current I of transmission line L1 is 900 A, the voltage U is 220 kV, the current I of transmission line L2 is 950 A, and the voltage U is 220 kV.

[0100] The real-time load power of each line is calculated according to formula (1):

[0101] The power transmission line L1: P = 3 * 220 * 900 * 0.9 = 308.29 MW;

[0102] The power transmission line L2: P = 3 * 220 * 950 * 0.9 = 325.79 MW.

[0103] The load rate of each line is calculated according to formula (2):

[0104] L1: (308.29 / 300) * 100% = 102.88%;

[0105] L2: (325.79 / 300) * 100% = 108.6%.

[0106] The load rate of the power transmission line L1 and the power transmission line L2 is greater than the threshold value (> 95%), and there is no adjustment redundancy. At this time, the continuous number of high load optimization is constantly accumulated, and when the continuous number of high load optimization reaches five times, the execution unit sends a control instruction to the circuit breaker to avoid the failure of the power transmission line under continuous high load.

[0107] In the process of normal operation of the power grid, the load condition of the power transmission line needs to be monitored and dynamically managed in real time. By collecting the current and voltage data of the power transmission line, the real-time load power and load rate are calculated, and it is judged whether the line is in the standard load interval, so as to ensure that the power grid operates in a reasonable load state and guarantees the stability and reliability of power supply. Different regions, different scales of power grid, according to its actual operation demand and equipment characteristic, set up different standard load interval, data acquisition interval and other parameters, can apply this method to carry on the monitoring, this method provides accurate power transmission line load data and analysis results for power grid dispatching center. According to the analysis results, the power grid is dynamically optimized to ensure that the line always operates in the standard load interval, effectively avoiding line failure, equipment damage and other problems caused by unreasonable load, thereby guaranteeing the stability and reliability of power supply, reducing the occurrence of power failure, and improving the user's power experience.

[0108] In the description of the application, it should be noted that the terms "upper", "lower", "inner", "outer", "left", "right", and the like indicate the orientation or positional relationship based on the orientation or positional relationship shown in the drawings, or the orientation or positional relationship commonly understood by those skilled in the art, or the orientation or positional relationship commonly understood by those skilled in the art, only for the convenience of describing the application and simplifying the description, and do not indicate or imply that the devices or elements referred to must have a particular orientation, be constructed and operated in a particular orientation, and therefore cannot be understood as limiting the application. In addition, the terms "first", "second", and the like are only used to distinguish the description and cannot be understood as indicating or implying relative importance. In the description of the application, it should be noted that unless otherwise specified and limited, the terms "provided", "connected" and the like should be broadly understood, for example, "connected" can be fixedly connected, or can be detachably connected, or integrally connected; can be mechanically connected, or can be electrically connected; can be directly connected, or can be indirectly connected through an intermediate medium, or can be connected inside two elements. For those skilled in the art, the specific meaning of the above terms in the application can be understood according to the specific circumstances. In this paper, the terms "include", "contain" or any other variant thereof are intended to cover non-exclusive inclusion, in addition to containing the listed elements, but also containing other elements not explicitly listed.

[0109] The basic principles, main features and advantages of the application are shown and described above. Those skilled in the art should understand that the application is not limited by the above examples, and the above examples and descriptions in the specification are only to illustrate the principles of the application, and various changes and improvements can be made without departing from the spirit and scope of the application, and these changes and improvements all fall within the scope of the claimed application. The scope of protection of the application is defined by the appended claims and their equivalents.

Claims

1. A method for dynamic optimization of transmission line load, characterized in that, include, S1: Data Acquisition: Acquire real-time current and voltage values ​​of the transmission line; S2: Calculate the real-time load power of the transmission line based on the obtained current and voltage values; S3: Compare the calculated real-time load power with the rated load power of the transmission line to obtain the load factor; S4: Compare the obtained load rate with the standard load range of the transmission line to determine whether the load rate is within the standard load range. If the load rate is within the standard load range, determine whether the time since the last data collection is greater than T. If it is not greater than T, continue to determine whether the time interval since the last data collection is greater than T. If it is greater than T, repeat step S1. If the load rate is not within the standard load range, proceed to the next step. S5: Determine whether the load rate is greater than or less than the standard load range; if the load rate is less than the standard load range, actively match the load demand, increase the load of the transmission line, or transfer the excess load of other transmission lines to the current transmission line, and return to execute step S4. If the load rate is higher than the standard load range, the portion of the load exceeding the standard load range will be transferred to other low-load transmission lines for transmission. The consecutive count of high load optimization will be incremented by one, the non-consecutive count will be reset to zero, and the next step will be executed. S6: Determine whether the number of consecutive high load optimizations is greater than or equal to n. If the number of consecutive optimizations is less than n, or the load rate is less than the threshold, then return to step S4. If the number of consecutive optimizations is greater than or equal to n, and the load rate is greater than the threshold, then disconnect the transmission line.

2. The method for dynamic optimization of transmission line load according to claim 1, characterized in that, The expression for calculating the real-time load power of the transmission line in step S2 is as follows: P = √3·U·I·cosφ; (1) Where P represents the real-time load power, U is the voltage of the transmission line, φ is the current of the transmission line, and cosφ is the power factor.

3. The method for dynamic optimization of transmission line load according to claim 1, characterized in that, The expression for calculating the load factor in step S3 is as follows: Where λ represents the load factor, P is the real-time load power, and P1 represents the rated load power of the transmission line.

4. The method and system for dynamic load optimization of transmission lines according to claim 1, characterized in that, The standard load range in step A4 is 40-70%, and the time interval T is set to 30 minutes.

5. The method for dynamic optimization of transmission line load according to claim 1, characterized in that, In step A4, the number of consecutive times n is set to 5.

6. The method and system for dynamic load optimization of transmission lines according to claim 1, characterized in that, In step A6, the threshold value range is >95%.

7. A dynamic load optimization system for transmission lines, used to execute the dynamic load optimization method for transmission lines according to any one of claims 1-6, characterized in that, This includes power transmission lines, of which there are multiple lines, used to transmit electricity; The data acquisition unit is connected to the transmission line and is used to acquire the current and voltage values ​​of the transmission line. The processing unit has its data input terminal connected to the acquisition unit. The processing unit is used to receive the current and voltage values ​​acquired by the acquisition unit, process the current and voltage values, and send the processing results to the execution unit. The execution unit is connected to the data output terminal of the processing unit. The execution unit is used to receive the processing results issued by the processing unit, generate control commands based on the processing results, and adjust the working state of the transmission line through the control commands.

8. The power transmission line load dynamic optimization system according to claim 7 further includes a circuit breaker, which is installed on the power transmission line. The signal input terminal of the circuit breaker is connected to the execution unit, and the circuit breaker is used to control the on / off state of the power transmission line.

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