Voltage fluctuation stabilizing method and device under cooperation of multiple stations

Abstract

The invention relates to the technical field of new energy power generation, and discloses a voltage fluctuation stabilizing method and device under cooperation of multiple stations. According to the method, the reactive vacancy is calculated in real time, and a compensation strategy is dynamically formulated in combination with the unit regulation capability, so that a passive response mode of fixed dead zone and rigid control of a traditional SVG is changed, and dynamic adaptive regulation of reactive distribution in a single station is realized; besides, when communication interconnection cooperative control conditions exist among the stations, the limitation of local optimization in the prior art is broken through by inquiring the control voltage of the adjacent stations and triggering a cross-station cooperative voltage regulation strategy, and a reactive power coordination mechanism among the multiple stations is established. Through double-layer control logic of'in-station dynamic adaptive compensation + inter-station cooperative voltage regulation ', the problem of cooperative regulation of equipment in a single station is solved, global voltage cooperative control in a multi-station interconnection scene is also realized, power grid voltage fluctuation under high permeability of new energy is effectively stabilized, and the stability and reliability of a power system are improved.

Description

Technical Field

[0001] The present invention relates to the field of renewable energy power generation technology, and in particular to a method and device for smoothing voltage fluctuations under multi-station collaboration. Background Art

[0002] The continued rise in renewable energy penetration is presenting multiple challenges for interconnected power systems with multiple stations. Renewable energy generation is constrained by natural conditions such as wind speed and sunlight, leading to frequent and increasing grid voltage fluctuations. Furthermore, renewable energy generators like photovoltaic and wind power rely on power electronics for grid connection, and their dynamic reactive power support capabilities are far inferior to those of traditional synchronous generators. Existing renewable energy stations often rely on static VAR compensation (SVG) devices for reactive power regulation. However, their fixed deadband design and rigid control strategies significantly reduce regulation efficiency. Furthermore, the lack of reactive power coordination mechanisms between stations makes local reactive power compensation ineffective in addressing global voltage issues.

[0003] In existing research, exploration of reactive power distribution at stations has mostly focused on optimizing equipment losses and improving economic efficiency, while research on voltage fluctuations has focused on predicting the randomness and volatility of preceding factors such as wind speed and sunlight. Few studies have explored voltage fluctuation issues in the context of multi-station interconnection, taking the station as a whole. In addition, existing SVG research solutions often independently design control logic, fail to achieve synergy with new energy units, and ignore actual parameters such as SVG dead zone width and step size, making it difficult to adapt to complex operating conditions. Overall, existing technologies are limited by "passive response" and "local optimization." There is a lack of research on coordinated reactive power distribution strategies for equipment within stations from the perspective of multi-station collaboration and dynamic adaptive regulation, making it difficult to effectively smooth voltage fluctuations. Summary of the Invention

[0004] In view of this, an embodiment of the present invention provides a method and device for smoothing voltage fluctuations under multi-station coordination to solve the problems in the existing technology that focus on local optimization, fail to achieve multi-station coordination and dynamic adaptive adjustment of reactive power distribution to smooth voltage fluctuations.

[0005] In a first aspect, an embodiment of the present invention provides a method for voltage fluctuation smoothing in a multi-station coordinated manner, the method comprising:

[0006] Obtaining electrical operating data of a main transformer in a station and an adjustable range of a new energy generator in the station, and calculating current reactive power shortage data of the station using the electrical operating data;

[0007] Analyzing whether the adjustable range of the new energy unit meets the reactive power shortage data, and obtaining a shortage compensation strategy;

[0008] performing shortfall compensation on the station according to the shortfall compensation strategy, and detecting voltage fluctuation data of the grid connection point in the station after the shortfall compensation;

[0009] If the voltage fluctuation data is greater than a preset threshold, it is queried whether there is a control voltage of an adjacent station, a query result is obtained, and a voltage regulation operation is performed on the station according to a voltage regulation strategy corresponding to the query result.

[0010] Furthermore, the analyzing whether the adjustable range of the new energy generator set satisfies the reactive power shortage data to obtain a shortage compensation strategy includes:

[0011] comparing the reactive power shortage data and the adjustable range;

[0012] If the reactive power shortage data falls within the adjustable range, the shortage compensation strategy is determined to be that the new energy unit compensates for the reactive power shortage data; or, if the reactive power shortage data does not fall within the adjustable range, the shortage compensation strategy is determined to be that the new energy unit and the reactive power compensation device compensate for the reactive power shortage data.

[0013] Furthermore, performing the shortfall compensation on the station according to the shortfall compensation strategy includes:

[0014] If the compensation strategy is to compensate the reactive power shortage data by the new energy unit, the historical output data of the new energy unit is obtained, and the historical output data is input into the ARIMA-LSTM hybrid prediction model, and the ARIMA-LSTM hybrid prediction model is used to predict the wind and solar power forecast value in the future time period;

[0015] Calculating an average value of a sliding time window based on the wind and solar power forecast value, and calculating updated reactive power shortage data using the average value and the current power factor;

[0016] Sort the new energy units according to the wind and solar power output fluctuation data, and select the target new energy units according to the proportion;

[0017] Reactive compensation amount is reallocated to the target new energy generator set according to the preset time interval and the updated reactive power shortage data, so that the target new energy generator set performs compensation according to the reallocated reactive power compensation amount.

[0018] Furthermore, performing the shortfall compensation on the station according to the shortfall compensation strategy includes:

[0019] If the compensation strategy is to compensate the reactive power shortage data by the new energy generator set and the reactive power compensation device, the new energy generator set first provides reactive power compensation according to its own acceptable maximum or minimum power factor;

[0020] After the new energy generator set provides reactive power compensation, the remaining reactive power shortage is calculated and compensated by the reactive power compensation device.

[0021] Furthermore, performing a voltage regulation operation on the station according to the voltage regulation strategy corresponding to the query result includes:

[0022] If the query result is that the control voltage of the adjacent station cannot be obtained, detecting the control voltage of the station;

[0023] Detecting whether the control voltage continuously exceeds the upper limit of the dead zone or continuously falls below the lower limit of the dead zone, and obtaining a detection result;

[0024] Executing a corresponding voltage adjustment strategy according to the detection result to obtain an adjusted control voltage;

[0025] The voltage fluctuation frequency of the adjusted control voltage is detected. If the voltage fluctuation frequency is greater than a frequency threshold, the above steps are repeated until the control voltage limit is reached.

[0026] Furthermore, executing a corresponding voltage adjustment strategy according to the detection result to obtain an adjusted control voltage includes:

[0027] If the detection result is that the control voltage continuously exceeds the upper limit of the dead zone, it is determined that the voltage is continuously higher than the upper limit of the dead zone, and the control voltage is adjusted according to a set step size to obtain an adjusted control voltage, wherein the adjusted control voltage is greater than the control voltage, and the control voltage exceeds the upper limit of the dead zone a preset number of times within a preset time, and it is determined that the control voltage continuously exceeds the upper limit of the dead zone;

[0028] If the detection result is that the control voltage is continuously lower than the lower limit of the dead zone, the control voltage is adjusted according to the set step size to obtain an adjusted control voltage; wherein, if the adjusted control voltage is less than the control voltage, and the number of times the control voltage is lower than the lower limit of the dead zone within the preset time reaches the preset number, it is determined that it is continuously lower than the lower limit of the dead zone.

[0029] Furthermore, performing a voltage regulation operation on the station according to the voltage regulation strategy corresponding to the query result includes:

[0030] If the query result indicates that the control voltage of the adjacent station can be obtained, locating the control voltage of the station by using a delay compensation algorithm;

[0031] Obtain the voltage correlation factors of multiple stations and the coordinated control conditions of multiple stations to calculate the voltage adjustment amount;

[0032] The voltage adjustment amount is used to update the control voltage of the station to obtain an updated control voltage, and the control mode of the reactive power compensation device is changed to a constant voltage control mode until the grid connection point voltage is maintained at the updated control voltage, and the control mode is changed back to a constant reactive power control mode.

[0033] Furthermore, after performing a voltage regulation operation on the station according to the voltage regulation strategy corresponding to the query result, the method further includes:

[0034] Obtaining a maximum voltage adjustment range corresponding to the grid connection point;

[0035] If the adjusted control voltage reaches the upper limit of the maximum voltage adjustment range and the voltage fluctuation data of the grid connection point is still greater than the preset threshold, the adjusted control voltage is maintained at the upper limit and an alarm message is triggered.

[0036] Furthermore, after performing a voltage regulation operation on the station according to the voltage regulation strategy corresponding to the query result, the method further includes:

[0037] Detect system voltage corresponding to multiple stations;

[0038] If the instantaneous fluctuation data of the system voltage is greater than the preset fluctuation data, the reactive compensation device is controlled to switch to a fast response mode and execute a reactive response strategy for the high-voltage side bus voltage.

[0039] In a second aspect, an embodiment of the present invention provides a voltage fluctuation smoothing device in a multi-station coordinated manner, the device comprising:

[0040] An acquisition module is used to obtain electrical operation data of the main transformer in the station and the adjustable range of the new energy unit in the station, and calculate the current reactive power shortage data of the station using the electrical operation data;

[0041] An analysis module, configured to analyze whether the adjustable range of the new energy generator set satisfies the reactive power shortage data and obtain a shortage compensation strategy;

[0042] a processing module configured to perform shortfall compensation on the station according to the shortfall compensation strategy, and detect voltage fluctuation data of the grid connection point in the station after the shortfall compensation;

[0043] The execution module is used to query whether there is a control voltage of an adjacent station if the voltage fluctuation data is greater than a preset threshold, obtain a query result, and perform a voltage regulation operation on the station according to the voltage regulation strategy corresponding to the query result.

[0044] In a third aspect, an embodiment of the present invention provides a computer device comprising: a memory and a processor, the memory and the processor being communicatively connected to each other, the memory storing computer instructions, and the processor executing the computer instructions to execute the voltage fluctuation smoothing method under multi-station collaboration of the above-mentioned first aspect or any corresponding embodiment thereof.

[0045] In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium having computer instructions stored thereon, the computer instructions being used to enable a computer to execute the voltage fluctuation smoothing method under multi-station coordination of the above-mentioned first aspect or any corresponding embodiment thereof.

[0046] This application changes the "passive response" mode of traditional SVG fixed dead zone and rigid control by calculating reactive power shortage in real time and dynamically formulating compensation strategies based on the unit's regulation capabilities, thus achieving dynamic adaptive regulation of reactive power distribution within a single station. In addition, when the stations meet the conditions for communication, interconnection and collaborative control, by querying the control voltage of adjacent stations and triggering a cross-station collaborative voltage regulation strategy, it breaks through the limitations of the existing technology of "local optimization" and establishes a reactive power coordination mechanism between multiple stations. Through the two-layer control logic of "dynamic adaptive compensation within the station + coordinated voltage regulation between stations", it not only solves the problem of coordinated regulation of equipment within a single station, but also realizes global voltage coordinated control in the scenario of multi-station interconnection, effectively smoothing the voltage fluctuations of the power grid under the high penetration rate of new energy, and improving the stability and reliability of the power system. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] In order to more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the specific embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0048] Figure 1 is a flow chart of a method for smoothing voltage fluctuations in multi-station collaboration according to some embodiments of the present invention;

[0049] Figure 2 This is a schematic diagram of the overall process of a method for smoothing voltage fluctuations in multi-station collaboration according to some embodiments of the present invention;

[0050] Figure 3 This is a structural block diagram of a voltage fluctuation smoothing device under multi-station coordination according to an embodiment of the present invention;

[0051] Figure 4 Schematic diagram of the hardware structure of a computer device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0052] To make the purpose, technical solutions, and advantages of the embodiments of the present invention more clear, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without making creative efforts shall fall within the scope of protection of the present invention.

[0053] According to an embodiment of the present invention, a method and apparatus for smoothing voltage fluctuations in a coordinated manner among multiple stations are provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and although a logical sequence is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0054] In this embodiment, a method for smoothing voltage fluctuations under multi-station coordination is provided. Figure 1 FIG. 1 is a flow chart of a method for smoothing voltage fluctuations under multi-station coordination according to an embodiment of the present invention. Figure 1 As shown, the process includes the following steps:

[0055] Step S101: Obtain electrical operation data of the main transformer in the station and the adjustable range of the new energy units in the station, and calculate the current reactive power shortage data of the station using the electrical operation data.

[0056] In this embodiment, electrical operating data of the station's main transformer is first acquired. This data includes real-time data such as reactive power, active power, voltage, and current on the low-voltage side of the main transformer. Using this data, the reactive losses generated during the main transformer's operation can be calculated using methods such as the equivalent impedance model.

[0057] In addition, based on the capacity of each new energy unit (such as photovoltaic and wind turbines) and the preset maximum and minimum power factors, the following formula is used to calculate the maximum and minimum reactive output that each new energy unit can provide, thereby determining the overall reactive power regulation range of the new energy unit:

[0058]

[0059] Among them, S 新能源 is the rated capacity of each new energy unit, cosφ min is the set minimum power factor, cosφ max is the set maximum power factor.

[0060] Finally, combining the reactive power loss of the main transformer and the reactive power required by the station load, minus the reactive power currently generated by the new energy unit, the actual reactive power shortage of the station can be calculated using the following formula:

[0061] Q 缺额 =Q 负荷 +Q 损耗 -Q 新能源当前出力

[0062] Among them, Q 缺额 is the current reactive power shortage data of the station, Q 负荷 Reactive power required by the station load, Q 损耗 is the reactive loss of the main transformer, Q 新能源当前出力 It is the reactive power actually generated by the new energy unit.

[0063] Step S102: analyzing whether the adjustable range of the new energy generator set satisfies the reactive power shortage data, and obtaining a shortage compensation strategy.

[0064] In an embodiment of the present application, whether the adjustable range of the new energy unit satisfies the reactive power shortage data is analyzed to obtain a shortage compensation strategy, including: comparing the reactive power shortage data and the adjustable range; if the reactive power shortage data falls within the adjustable range, determining that the shortage compensation strategy is for the new energy unit to compensate for the reactive power shortage data; or, if the reactive power shortage data does not fall within the adjustable range, determining that the shortage compensation strategy is for the new energy unit and the reactive power compensation device to compensate for the reactive power shortage data.

[0065] Specifically, we must first clarify the reactive power shortage data and the adjustable range of the new energy units. The total reactive power shortage of the current system is calculated, and the maximum and minimum reactive power output ranges that can be provided by the new energy unit are calculated based on the capacity of the new energy unit and the preset maximum and minimum power factors. The reactive power shortage data is then compared with the adjustable range. If the reactive power shortage data is within the adjustable range of the new energy unit, this indicates that the new energy unit is capable of independently undertaking the compensation task, and the shortage compensation strategy is determined to be that the new energy unit compensates for the reactive power shortage data; if the reactive power shortage data exceeds the adjustable range of the new energy unit, it means that the new energy unit alone cannot complete the compensation. In this case, the shortage compensation strategy is determined to be that the new energy unit and the reactive power compensation device (such as SVG) jointly compensate for the reactive power shortage data.

[0066] Step S103 , performing shortfall compensation on the station according to the shortfall compensation strategy, and detecting voltage fluctuation data of the grid connection point in the station after the shortfall compensation.

[0067] In the embodiment of the present application, performing shortfall compensation on a station according to a shortfall compensation strategy includes the following steps A1-A4:

[0068] Step A1: If the compensation strategy is to use new energy units to compensate for reactive power shortage data, the historical output data of the new energy units is obtained and input into the ARIMA-LSTM hybrid prediction model. The ARIMA-LSTM hybrid prediction model predicts the wind and solar power forecast values ​​in the future time period.

[0069] Specifically, the operating output data of the new energy units in the past 60 minutes are obtained, with a sampling interval of every 15 seconds, and the active output P of all units at each moment is recorded. real,i (i represents the unit number, from 1 to the total number of units in the station M). These historical output data are input into the ARIMA-LSTM hybrid prediction model. Using the characteristics of the model, the wind and solar power in the next 10 minutes are predicted to obtain the wind and solar power prediction value P pre,i,k (k is the jth prediction result within ten minutes), providing power prediction information for subsequent calculations.

[0070] Step A2: Calculate the average value of the sliding time window based on the wind and solar power forecast value, and calculate the updated reactive power shortage data using the average value and the current power factor.

[0071] Specifically, according to the wind and solar power prediction value P pre,i,k , use the sliding average method to calculate the average value P of the sliding time window in the next five minutes pre,i , the formula is:

[0072]

[0073] Among them, K is the number of sample points for all predictions in the next five minutes.

[0074] Combined with the current power factor φ i , the updated reactive power shortage data is calculated using the following formula to make the reactive power shortage calculation more in line with future power conditions:

[0075]

[0076] Among them, Q 缺额 is the current reactive power shortage data of the station, Q 缺额new is the updated reactive power shortage data, the total number of units in station M.

[0077] Step A3: sort the new energy generating units according to the wind and solar power output fluctuation data, and select the target new energy generating units according to the proportion.

[0078] Specifically, the wind and solar power output fluctuation data for the next 5 minutes is calculated using the following formula:

[0079]

[0080] Among them, record the active output P of all units at each moment real,i , mean value P pre,i , wind and solar power output fluctuation data ΔP fluct,i .

[0081] Sort the new energy units based on the volatility data. Select the target new energy units according to a certain ratio (you can select only the units with the top 50% volatility) and determine the range of units participating in the subsequent reactive power compensation adjustment.

[0082] Step A4: reallocate reactive compensation to the target new energy generating unit according to the preset time interval and the updated reactive power shortage data, so that the target new energy generating unit performs compensation according to the reallocated reactive power compensation.

[0083] Specifically, at preset 1-minute time intervals, based on the updated reactive power deficit data, reactive power compensation is reallocated to the target renewable energy units using the following formula, so that the target units perform reactive power compensation according to the newly allocated amount, thereby optimizing the reactive power balance of the station:

[0084] ΔQ i =ΔP fluct,i tanφ i ,|ΔP fluct,i |<|ΔP fluct,mid |

[0085] Where |ΔP fluct,mid | is the median of the output fluctuation rates of all units.

[0086] It should be noted that when reactive power deficit compensation is determined to be performed by new energy generators, obtaining historical output data for these generators and using an ARIMA-LSTM hybrid forecasting model to predict future wind and solar power output provides a more accurate understanding of their output. Calculating the sliding window average and updated reactive power deficit data based on the predicted values ​​makes reactive power deficit calculations more realistic. Sorting new energy generators based on wind and solar power output fluctuations and selecting target generators allows for the selection of suitable generators for compensation. Finally, reactive power compensation is redistributed based on preset time intervals and updated reactive power deficit data, ensuring that target generators receive compensation as needed. This allows for more efficient and accurate reactive power compensation from new energy generators, improving the rationality and effectiveness of reactive power compensation, thereby smoothing voltage fluctuations and ensuring stable power system operation.

[0087] In the embodiment of the present application, performing shortfall compensation on a station according to a shortfall compensation strategy includes the following steps B1-B2:

[0088] Step B1: If the compensation strategy is to use the new energy generator set and the reactive power compensation device to compensate for the reactive power shortage data, the new energy generator set first provides reactive power compensation according to its own acceptable maximum or minimum power factor.

[0089] Specifically, when a renewable energy unit and a reactive power compensation device are used to jointly compensate for reactive power shortages, if the required compensation exceeds the renewable energy unit's regulation capacity, the renewable energy unit will allocate reactive power based on its acceptable maximum or minimum power factor limits. This means that the renewable energy unit's reactive power output is determined according to the corresponding rules based on its capacity and the set maximum and minimum power factors, leveraging its reactive power compensation capabilities.

[0090] Step B2: calculating the remaining reactive power shortage after the new energy generator set provides reactive power compensation, and compensating the remaining reactive power shortage by the reactive power compensation device.

[0091] Specifically, after the new energy units allocate reactive power according to the maximum or minimum power factor limit, the remaining reactive power shortage is calculated using the following formula:

[0092] Q SVG =Q 缺额 -Q 新能源出力

[0093] Among them, Q SVG The remaining reactive power shortage.

[0094] The reactive power compensation device SVG then takes on and compensates for the remaining reactive power shortage, bringing the system reactive power to a balanced or near-balanced state.

[0095] It should be noted that when renewable energy generators and reactive power compensation devices jointly undertake reactive power deficiency compensation, the renewable energy generators should first be allowed to utilize their own capabilities, providing reactive power compensation at their maximum or minimum acceptable power factor, fully tapping their reactive power compensation potential. The remaining reactive power deficiency is then accurately calculated, and the reactive power compensation device then compensates for this residual deficiency in a targeted manner. This achieves a rational division of labor and coordinated cooperation between the renewable energy generators and reactive power compensation devices, efficiently utilizing their resources and effectively completing reactive power deficiency compensation. This, in turn, improves the overall effectiveness of reactive power compensation in the power system and ensures grid voltage stability.

[0096] In the embodiment of the present application, after reactive power compensation is performed, the grid connection point voltage is monitored, and the voltage fluctuation data, i.e., the sliding window voltage gradient under the influence of the common connection point system, is calculated using the following formula:

[0097]

[0098] Among them, T w is the total duration of the sliding window, which can be taken as 5 minutes, and Δt is the grid voltage sampling interval.

[0099] A threshold for identifying the direction of voltage gradient change (e.g., ±0.5% / min) is set. When the absolute value of the calculated voltage gradient exceeds this threshold, it indicates a trend of overall voltage increase or decrease. The system then queries whether a control voltage exists at an adjacent station and obtains the query result. If a control voltage exists at an adjacent station, the system calculates the adjustment amount and performs voltage regulation according to the multi-station coordinated voltage regulation strategy, utilizing delay compensation algorithms and other methods. If no such adjustment is found, the system uses the station's self-regulating voltage regulation strategy to stabilize the voltage at the grid connection point.

[0100] Step S104: if the voltage fluctuation data is greater than a preset threshold, query whether there is a control voltage of an adjacent station, obtain a query result, and perform a voltage regulation operation on the station according to the voltage regulation strategy corresponding to the query result.

[0101] In the embodiment of the present application, performing a voltage regulation operation on the station according to the voltage regulation strategy corresponding to the query result includes the following steps C1-C4:

[0102] Step C1: If the query result is that the control voltage of the adjacent station cannot be obtained, the control voltage of the station is detected.

[0103] Specifically, if the query finds that the control voltage of the adjacent station cannot be obtained, the focus is on the voltage situation of the station itself. The control voltage of the station is tested, and close attention is paid to whether it continues to exceed the pre-set upper limit of the dead zone or continues to fall below the lower limit of the dead zone. The relevant results obtained through such testing provide a basis for subsequent operations.

[0104] Step C2 detects whether the control voltage continuously exceeds the upper limit of the dead zone or continuously falls below the lower limit of the dead zone, and obtains a detection result.

[0105] Specifically, after completing the station control voltage test, further in-depth analysis is conducted, focusing on detecting whether the control voltage is continuously above the pre-set upper limit of the dead zone, or continuously below the lower limit of the dead zone. By continuously observing and analyzing the control voltage data over a period of time, it is determined whether it meets the above-mentioned conditions of continuously exceeding the limit, and the corresponding test results are obtained, thereby determining whether the current voltage is deviating from the normal range.

[0106] Step C3: executing a corresponding voltage adjustment strategy according to the detection result to obtain an adjusted control voltage.

[0107] In an embodiment of the present application, a corresponding voltage adjustment strategy is executed according to the detection result to obtain an adjusted control voltage, including: if the detection result is that the control voltage continuously exceeds the dead zone upper limit value, it is determined that the voltage is continuously higher than the dead zone upper limit, and the control voltage is adjusted according to a set step size to obtain an adjusted control voltage, wherein the adjusted control voltage is greater than the control voltage, and the control voltage exceeds the dead zone upper limit value a preset number of times within a preset time, and it is determined that it continuously exceeds the dead zone upper limit value.

[0108] During operation, the system continuously monitors the control voltage and compares it with the preset upper limit of the dead zone. The concept of "dead zone" is introduced to avoid over-regulation when the voltage fluctuates frequently near the critical value. The two-dimensional judgment conditions of "preset time" and "preset number of times" are set here. When the control voltage exceeds the upper limit of the dead zone for the preset number of times within the preset time, it means that the voltage is not fluctuating accidentally, but enters a state that is continuously higher than the safety threshold. At this time, the system determines that "the voltage is continuously higher than the upper limit of the dead zone." In order to return the voltage to a reasonable range, the control voltage V is increased according to the set step size. ref.new =V ref +ΔV, and get the adjusted control voltage.

[0109] This ensures the effectiveness of voltage regulation while preventing excessive adjustments from causing new voltage fluctuations. This regulation mechanism, through quantified judgment criteria and standardized adjustment strategies, enables precise identification and control of voltage anomalies, effectively addressing the frequent voltage fluctuations in renewable energy power systems and ensuring safe and stable operation of the power system.

[0110] If the detection result shows that the control voltage is continuously lower than the lower limit of the dead zone, the control voltage is adjusted according to the set step size to obtain an adjusted control voltage; wherein, if the adjusted control voltage is less than the control voltage, and the control voltage is lower than the lower limit of the dead zone for a preset number of times within the preset time, it is determined that it is continuously lower than the lower limit of the dead zone.

[0111] The control voltage is continuously monitored relative to the pre-set lower limit of the dead zone. The presence of the dead zone prevents misregulation caused by small voltage fluctuations. If the control voltage falls below the lower limit of the dead zone a pre-set number of times within the pre-set time, the voltage has moved beyond the range of occasional fluctuations and is now dangerously low. The system then determines that the voltage is persistently below the lower limit of the dead zone. To restore the voltage to a normal range, the control voltage is adjusted downward according to the pre-set step size. This ensures timely and effective voltage adjustments while avoiding voltage dips or fluctuations caused by excessive adjustments. This mechanism, through quantitative criteria and standardized regulation strategies, enables scientific control of voltage anomalies, effectively addressing the challenges of increased voltage fluctuations in the power system following the integration of new energy sources, ensuring stable operation of the power system and improving power supply reliability and quality.

[0112] Step C4: detecting the voltage fluctuation frequency of the adjusted control voltage. If the voltage fluctuation frequency is greater than the frequency threshold, repeat the above steps until the control voltage limit is reached.

[0113] Specifically, after adjusting the control voltage, the fluctuation of the adjusted control voltage is continuously monitored and its voltage fluctuation frequency is calculated. The obtained voltage fluctuation frequency is compared with a pre-set frequency threshold. If the voltage fluctuation frequency is greater than the frequency threshold, this indicates that the adjusted voltage is still unstable and exhibits significant fluctuations. At this point, the control voltage needs to be re-tested to determine whether it exceeds the dead zone and make further adjustments accordingly. This cycle continues until the control voltage limit is reached, achieving effective and stable control of the station voltage and ensuring that the voltage remains within a reasonable and stable range.

[0114] In the embodiment of the present application, performing a voltage regulation operation on the station according to the voltage regulation strategy corresponding to the query result includes the following steps D1-D3:

[0115] In step D1, if the query result indicates that the control voltage of the adjacent station can be obtained, the control voltage of the station is located using a delay compensation algorithm.

[0116] Specifically, when the real-time control voltage target value V of the adjacent station can be obtained through the regional communication network target,j When (j=1,2,...,N), considering the communication delay τ, the following delay compensation algorithm is used to locate the control voltage of the station:

[0117]

[0118] Where α is the sensitivity adjustment coefficient, ranging from 0 to 1. Its value is determined by the frequency of control voltage adjustments at adjacent stations. The more frequent the control voltage adjustments at adjacent stations, the larger α is. In particular, when α = 0, it is assumed that multi-station coordinated adjustment is not considered, the control voltages at other stations are relatively constant, and communication delay can be ignored. The algorithm combines factors such as delay and the local voltage change rate to determine the control voltage for the station's adaptation.

[0119] Step D2: Obtain the voltage correlation factors of multiple stations and the coordinated control conditions of multiple stations to calculate the voltage adjustment amount.

[0120] Specifically, first calculate the multi-station voltage correlation factor according to the following formula:

[0121]

[0122] Among them, V adj,ref =V ref =V localThen, based on the coordinated control of multiple stations, the voltage adjustment amount is calculated using the following formula to provide a basis for controlling voltage updates:

[0123]

[0124] In step D3, the control voltage of the station is updated using the voltage adjustment amount to obtain an updated control voltage, and the control mode of the reactive power compensation device is changed to a constant voltage control mode until the grid connection point voltage is maintained at the updated control voltage, and the control mode is changed back to a constant reactive power control mode under dead zone control.

[0125] Specifically, the voltage adjustment amount is used to update the control voltage of the station through the following formula to obtain a new control voltage:

[0126] V ref,new =V ref +ΔV target

[0127] Then the control mode of the reactive power compensation device is changed to the constant voltage control mode, and the grid connection point voltage is continuously adjusted to maintain near the updated control voltage. After the target is achieved, the control mode is changed back to the constant reactive power control mode with dead zone to achieve stable voltage control.

[0128] In an embodiment of the present application, after performing a voltage regulation operation on the site according to the voltage regulation strategy corresponding to the query result, the method also includes: obtaining the maximum voltage adjustment range corresponding to the grid connection point; if the adjusted control voltage reaches the upper limit value of the maximum voltage adjustment range, the voltage fluctuation data of the grid connection point is still greater than the preset threshold, then the adjusted control voltage is maintained at the upper limit value, and an alarm message is triggered.

[0129] Specifically, after the voltage regulation operation is completed on the station based on the voltage regulation strategy corresponding to the query result, in order to ensure that the voltage at the grid connection point is within a safe and reasonable range, the maximum voltage adjustment range corresponding to the grid connection point will be further obtained. This range defines the boundary of the adjustable voltage. In subsequent monitoring, if it is found that the adjusted control voltage has reached the upper limit of the maximum voltage adjustment range, but the voltage fluctuation data of the grid connection point is still greater than the preset threshold, it means that the voltage can no longer be effectively stabilized by conventional voltage regulation means. The system will maintain the adjusted control voltage at the upper limit and trigger an alarm message to remind the operation and maintenance personnel that the voltage is abnormal and has reached the adjustment limit, and they need to intervene as soon as possible to avoid the voltage problem affecting the normal operation of the station.

[0130] In an embodiment of the present application, after performing a voltage regulation operation on the station according to the voltage regulation strategy corresponding to the query result, the method also includes: detecting the system voltage corresponding to multiple stations; if the instantaneous fluctuation data of the system voltage is greater than the preset fluctuation data, controlling the reactive compensation device to switch to a fast response mode, and executing the high-voltage side bus voltage reactive response strategy.

[0131] Specifically, after completing the voltage regulation operation on the station according to the voltage regulation strategy corresponding to the query result, in order to ensure the stable operation of the entire multi-station system, it is necessary to perform real-time detection of the system voltage corresponding to the multiple stations. During the monitoring process, once it is found that the instantaneous fluctuation data of the system voltage exceeds the pre-set fluctuation data threshold, this indicates that the system voltage has become more severely unstable, which may pose a threat to the safety and stable operation of the entire power system. At this time, in order to quickly stabilize the system voltage, the reactive compensation device will be quickly switched to the fast response mode, so that the reactive compensation device can respond to voltage changes at a faster speed and higher sensitivity. Then, the high-voltage side bus voltage reactive response strategy is executed. By adjusting the output of reactive power, the system voltage is adjusted and compensated in time, thereby effectively suppressing the instantaneous fluctuation of the system voltage and ensuring that the multi-station system voltage returns to stability as soon as possible.

[0132] As a complete example, Figure 2 As shown, data collection and reactive power shortage calculation

[0133] Step 1: Obtain real-time reactive power data for the main transformer, adjustable range data for renewable energy units (photovoltaic / wind power), and SVG operating parameters. Calculate the current total reactive power deficit, ΔQ, based on the collected electrical data.

[0134] Step 2: Compare the reactive power shortage ΔQ with the adjustable range [Qmin, Qmax] of the new energy unit:

[0135] If ΔQ≤Qmax: the new energy unit can be compensated separately, and go to step 4;

[0136] If ΔQ>Qmax: the new energy source outputs power at the maximum / minimum power factor, and the remaining shortfall is borne by SVG, and the process goes to step 5.

[0137] Step 4: Individual compensation for new energy units:

[0138] Historical output data for renewable energy units is fed into an ARIMA-LSTM hybrid forecasting model to predict wind and solar power for future periods. A sliding window average is calculated based on the predicted values, and the reactive power shortfall ΔQnew is updated based on the current power factor. Units are ranked based on wind and solar power output fluctuations, and target units are selected based on capacity ratios, dynamically allocating reactive power compensation.

[0139] Step 4: Joint compensation

[0140] The renewable energy generator provides reactive power at the maximum / minimum power factor limit, calculating the residual shortfall. The SVG compensates for the residual shortfall, ΔQresidual, by setting the initial control voltage Vref and the SVG deadband range, and enabling constant reactive power control mode.

[0141] Step 6: Monitor the grid connection point voltage VPCC and calculate the sliding window voltage gradient.

[0142] like ≤Threshold: Maintain the current control strategy;

[0143] like >Threshold: Query the adjacent station control voltage Vneighbor and go to step 8 or 9.

[0144] Step 7: Voltage regulation strategy based on adjacent station information

[0145] ① Unable to obtain adjacent voltage (isolated scenario)

[0146] If VPCC continuously exceeds the upper limit of the dead zone (the number of times exceeding the limit within the preset time is ≥ the threshold), Vref is increased by a step size ΔV; if VPCC continuously falls below the lower limit of the dead zone, Vref is similarly decreased.

[0147] If the voltage fluctuation frequency still exceeds the threshold after adjustment, repeat the above steps until the voltage limit Vmax / Vmin is reached.

[0148] ② Obtaining adjacent voltages (cooperative scenario)

[0149] A delay compensation algorithm is used to eliminate communication delays and calculate the true voltage deviation ΔVreal. The voltage adjustment ΔVadj is calculated by combining the multi-station voltage correlation factor and the coordinated control coefficient. The SVG control mode is switched to constant voltage mode, and Vref is updated according to ΔVadj. Once the voltage stabilizes, the system switches back to constant reactive power mode.

[0150] Step 8: If Vref reaches the upper limit of the maximum adjustment range and the voltage fluctuation is still out of limit, lock Vref and trigger an alarm.

[0151] If the instantaneous voltage fluctuation of the multi-station system exceeds the preset value, the SVG switches to fast response mode and executes the high-voltage side bus voltage reactive power response strategy (such as prioritizing compensation of key nodes).

[0152] Step 9: If the voltage adjustment in step 8 meets the standard, update the coordinated control parameters of the new energy and SVG to optimize the subsequent compensation distribution.

[0153] This embodiment also provides a method for smoothing voltage fluctuations in a multi-station collaborative manner. This device is used to implement the aforementioned embodiments and preferred implementations, and details already described are omitted. As used below, the term "module" may refer to a combination of software and / or hardware that implements a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, implementation in hardware, or a combination of software and hardware, is also possible and contemplated.

[0154] This embodiment provides a method for smoothing voltage fluctuations under the coordination of multiple stations. Figure 3 Shown, including:

[0155] The acquisition module 301 is used to obtain the electrical operation data of the main transformer in the station and the adjustable range of the new energy units in the station, and calculate the current reactive power shortage data of the station using the electrical operation data;

[0156] Analysis module 302, used to analyze whether the adjustable range of the new energy unit meets the reactive power shortage data and obtain a shortage compensation strategy;

[0157] The processing module 303 is configured to perform shortfall compensation on the station according to the shortfall compensation strategy, and detect voltage fluctuation data of the grid connection point in the station after the shortfall compensation;

[0158] The execution module 304 is configured to query whether there is a control voltage of an adjacent station if the voltage fluctuation data is greater than a preset threshold, obtain a query result, and perform a voltage regulation operation on the station according to a voltage regulation strategy corresponding to the query result.

[0159] In an embodiment of the present application, the analysis module 302 is used to compare the reactive power shortage data and the adjustable range; if the reactive power shortage data falls within the adjustable range, the shortage compensation strategy is determined to be that the new energy unit compensates for the reactive power shortage data; or, if the reactive power shortage data does not fall within the adjustable range, the shortage compensation strategy is determined to be that the new energy unit and the reactive power compensation device compensate for the reactive power shortage data.

[0160] In an embodiment of the present application, the processing module 303 is used to obtain the historical output data of the new energy unit if the compensation strategy is to compensate for the reactive power shortage data by the new energy unit, and input the historical output data into the ARIMA-LSTM hybrid prediction model, and the ARIMA-LSTM hybrid prediction model predicts the wind and solar power forecast value in the future time period; calculate the average value of the sliding time window based on the wind and solar power forecast value, and use the average value and the current power factor to calculate the updated reactive power shortage data; sort the new energy units according to the wind and solar output fluctuation data, and select the target new energy unit according to the proportion; reallocate the reactive compensation amount to the target new energy unit according to the preset time interval and the updated reactive power shortage data, so that the target new energy unit is compensated according to the reallocated reactive compensation amount.

[0161] In an embodiment of the present application, the processing module 303 is used to, if the compensation strategy is for the new energy unit and the reactive power compensation device to compensate for the reactive power shortage data, first provide reactive power compensation by the new energy unit according to its own acceptable maximum or minimum power factor; calculate the remaining reactive power shortage after the new energy unit provides reactive power compensation, and compensate the remaining reactive power shortage by the reactive power compensation device.

[0162] In an embodiment of the present application, the execution module 304 is used to detect the control voltage of the station if the query result is that the control voltage of the adjacent station cannot be obtained; detect whether the control voltage continues to exceed the upper limit value of the dead zone or continues to be lower than the lower limit value of the dead zone to obtain a detection result; execute a corresponding voltage adjustment strategy according to the detection result to obtain an adjusted control voltage; detect the voltage fluctuation frequency of the adjusted control voltage, and if the voltage fluctuation frequency is greater than the frequency threshold, repeat the above steps until the control voltage limit is reached.

[0163] In an embodiment of the present application, the execution module 304 is used to, if the detection result is that the control voltage continuously exceeds the upper limit value of the dead zone, determine that the voltage is continuously higher than the upper limit of the dead zone, and adjust the control voltage according to the set step size to obtain an adjusted control voltage, wherein the adjusted control voltage is greater than the control voltage, and the number of times the control voltage exceeds the upper limit value of the dead zone within the preset time reaches the preset number, and it is determined that it continuously exceeds the upper limit value of the dead zone; if the detection result is that the control voltage continuously falls below the lower limit value of the dead zone, adjust the control voltage according to the set step size to obtain an adjusted control voltage; wherein the adjusted control voltage is less than the control voltage, and the number of times the control voltage falls below the lower limit value of the dead zone within the preset time reaches the preset number, and it is determined that it continuously falls below the lower limit value of the dead zone.

[0164] In an embodiment of the present application, the execution module 304 is used to locate the control voltage of the station using a delay compensation algorithm if the query result shows that the control voltage of the adjacent station can be obtained; obtain the voltage correlation factor of multiple stations and the collaborative control situation of multiple stations to calculate the voltage adjustment amount; use the voltage adjustment amount to update the control voltage of the station to obtain the updated control voltage, and change the control mode of the reactive compensation device to a constant voltage control mode until the grid connection point voltage is maintained at the updated control voltage, and then change the control mode back to a constant reactive power control mode.

[0165] In an embodiment of the present application, the device also includes: an alarm module, which is used to obtain the maximum voltage adjustment range corresponding to the grid connection point; if the adjusted control voltage reaches the upper limit value of the maximum voltage adjustment range, the voltage fluctuation data of the grid connection point is still greater than the preset threshold, the adjusted control voltage is maintained at the upper limit value, and an alarm message is triggered.

[0166] In an embodiment of the present application, the control module is used to detect the system voltage corresponding to multiple stations; if the instantaneous fluctuation data of the system voltage is greater than the preset fluctuation data, the reactive compensation device is controlled to switch to the fast response mode and execute the high-voltage side bus voltage reactive response strategy.

[0167] See also Figure 4 , Figure 4 is a structural diagram of a computer device provided by an optional embodiment of the present invention, such as Figure 4As shown, the computer device includes: one or more processors 10, memory 20, and interfaces for connecting various components, including high-speed interfaces and low-speed interfaces. Various components utilize different buses to communicate with each other and can be installed on a common mainboard or installed in other ways as needed. The processor can process the instructions executed in the computer device, including instructions stored in the memory or on the memory to display the graphical information of the GUI on an external input / output device (such as, a display device coupled to the interface). In some optional embodiments, if necessary, multiple processors and / or multiple buses can be used together with multiple memories and multiple memories. Equally, multiple computer devices can be connected, and each device provides part of the necessary operations (for example, as a server array, a group of blade servers, or a multi-processor system).

[0168] The processor 10 may be a central processing unit, a network processor, or a combination thereof. The processor 10 may further include a hardware chip. The hardware chip may be an application-specific integrated circuit, a programmable logic device, or a combination thereof. The programmable logic device may be a complex programmable logic device, a field programmable gate array, a general purpose array logic, or any combination thereof.

[0169] The memory 20 stores instructions that can be executed by at least one processor 10, so that the at least one processor 10 executes the method shown in the above embodiment.

[0170] The memory 20 may include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application required for at least one function; the data storage area may store data created based on the use of a computer device for displaying a small program landing page, etc. In addition, the memory 20 may include a high-speed random access memory, and may also include a non-transient memory, such as at least one disk storage device, a flash memory device, or other non-transient solid-state storage device. In some optional embodiments, the memory 20 may optionally include a memory remotely located relative to the processor 10, and these remote memories may be connected to the computer device via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and a combination thereof.

[0171] The memory 20 may include a volatile memory, such as a random access memory; the memory may also include a non-volatile memory, such as a flash memory, a hard disk or a solid-state drive; the memory 20 may also include a combination of the above types of memory.

[0172] The computer device further includes a communication interface 30 for the computer device to communicate with other devices or a communication network.

[0173] The embodiment of the present invention also provides a computer-readable storage medium. The above-mentioned method according to the embodiment of the present invention can be implemented in hardware, firmware, or implemented as a computer code that can be recorded in a storage medium, or implemented as a computer code that is originally stored in a remote storage medium or a non-temporary machine-readable storage medium and downloaded through a network and will be stored in a local storage medium, so that the method described herein can be stored in such software processing on a storage medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware. Among them, the storage medium can be a magnetic disk, an optical disk, a read-only storage memory, a random access memory, a flash memory, a hard disk or a solid-state drive, etc.; further, the storage medium can also include a combination of the above-mentioned types of memory. It can be understood that a computer, a processor, a microprocessor controller or programmable hardware includes a storage component that can store or receive software or computer code. When the software or computer code is accessed and executed by a computer, a processor or hardware, the method shown in the above embodiment is implemented.

[0174] Although the embodiments of the present invention have been described with reference to the accompanying drawings, those skilled in the art may make various modifications and variations without departing from the spirit and scope of the present invention. Such modifications and variations are all within the scope defined by the appended claims.

Claims

1. A method for smoothing voltage fluctuations under multi-station coordination, characterized in that: The method comprises: Obtaining electrical operating data of a main transformer in a station and an adjustable range of a new energy generator in the station, and calculating current reactive power shortage data of the station using the electrical operating data; Analyzing whether the adjustable range of the new energy unit meets the reactive power shortage data, and obtaining a shortage compensation strategy; performing shortfall compensation on the station according to the shortfall compensation strategy, and detecting voltage fluctuation data of the grid connection point in the station after the shortfall compensation; If the voltage fluctuation data is greater than a preset threshold, it is queried whether there is a control voltage of an adjacent station, a query result is obtained, and a voltage regulation operation is performed on the station according to a voltage regulation strategy corresponding to the query result.

2. The method according to claim 1, characterized in that The analyzing whether the adjustable range of the new energy generator set satisfies the reactive power shortage data to obtain a shortage compensation strategy includes: comparing the reactive power shortage data and the adjustable range; If the reactive power shortage data falls within the adjustable range, the shortage compensation strategy is determined to be that the new energy unit compensates for the reactive power shortage data; or, if the reactive power shortage data does not fall within the adjustable range, the shortage compensation strategy is determined to be that the new energy unit and the reactive power compensation device compensate for the reactive power shortage data.

3. The method according to claim 2, characterized in that The performing the shortfall compensation on the station according to the shortfall compensation strategy includes: If the compensation strategy is to compensate the reactive power shortage data by the new energy unit, the historical output data of the new energy unit is obtained, and the historical output data is input into the ARIMA-LSTM hybrid prediction model, and the ARIMA-LSTM hybrid prediction model is used to predict the wind and solar power forecast value in the future time period; Calculating an average value of a sliding time window based on the wind and solar power forecast value, and calculating updated reactive power shortage data using the average value and the current power factor; Sort the new energy units according to the wind and solar power output fluctuation data, and select the target new energy units according to the proportion; Reactive compensation amount is reallocated to the target new energy generator set according to the preset time interval and the updated reactive power shortage data, so that the target new energy generator set performs compensation according to the reallocated reactive power compensation amount.

4. The method according to claim 2, characterized in that The performing the shortfall compensation on the station according to the shortfall compensation strategy includes: If the compensation strategy is to compensate the reactive power shortage data by the new energy generator set and the reactive power compensation device, the new energy generator set first provides reactive power compensation according to its own acceptable maximum or minimum power factor; After the new energy generator set provides reactive power compensation, the remaining reactive power shortage is calculated and compensated by the reactive power compensation device.

5. The method according to claim 1, wherein The performing a voltage regulation operation on the station according to the voltage regulation strategy corresponding to the query result includes: If the query result is that the control voltage of the adjacent station cannot be obtained, detecting the control voltage of the station; Detecting whether the control voltage continuously exceeds the upper limit of the dead zone or continuously falls below the lower limit of the dead zone, and obtaining a detection result; Executing a corresponding voltage adjustment strategy according to the detection result to obtain an adjusted control voltage; The voltage fluctuation frequency of the adjusted control voltage is detected. If the voltage fluctuation frequency is greater than a frequency threshold, the above steps are repeated until the control voltage limit is reached.

6. The method according to claim 5, characterized in that The executing a corresponding voltage adjustment strategy according to the detection result to obtain an adjusted control voltage includes: If the detection result is that the control voltage continuously exceeds the upper limit of the dead zone, it is determined that the voltage is continuously higher than the upper limit of the dead zone, and the control voltage is adjusted according to a set step size to obtain an adjusted control voltage, wherein the adjusted control voltage is greater than the control voltage, and the control voltage exceeds the upper limit of the dead zone a preset number of times within a preset time, and it is determined that the control voltage continuously exceeds the upper limit of the dead zone; If the detection result is that the control voltage is continuously lower than the lower limit of the dead zone, the control voltage is adjusted according to the set step size to obtain an adjusted control voltage; wherein, if the adjusted control voltage is less than the control voltage, and the number of times the control voltage is lower than the lower limit of the dead zone within the preset time reaches the preset number, it is determined that it is continuously lower than the lower limit of the dead zone.

7. The method according to claim 1, characterized in that The performing a voltage regulation operation on the station according to the voltage regulation strategy corresponding to the query result includes: If the query result indicates that the control voltage of the adjacent station can be obtained, locating the control voltage of the station by using a delay compensation algorithm; Obtain the voltage correlation factors of multiple stations and the coordinated control conditions of multiple stations to calculate the voltage adjustment amount; The voltage adjustment amount is used to update the control voltage of the station to obtain an updated control voltage, and the control mode of the reactive power compensation device is changed to a constant voltage control mode until the grid connection point voltage is maintained at the updated control voltage, and the control mode is changed back to a constant reactive power control mode.

8. The method according to claim 1, characterized in that After performing a voltage regulation operation on the station according to the voltage regulation strategy corresponding to the query result, the method further includes: Obtaining a maximum voltage adjustment range corresponding to the grid connection point; If the adjusted control voltage reaches the upper limit of the maximum voltage adjustment range and the voltage fluctuation data of the grid connection point is still greater than the preset threshold, the adjusted control voltage is maintained at the upper limit and an alarm message is triggered.

9. The method according to claim 1, characterized in that After performing a voltage regulation operation on the station according to the voltage regulation strategy corresponding to the query result, the method further includes: Detect the system voltage corresponding to multiple stations; If the instantaneous fluctuation data of the system voltage is greater than the preset fluctuation data, the reactive power compensation device is controlled to switch to a fast response mode and execute a reactive power response strategy for the high-voltage side bus voltage.

10. A voltage fluctuation smoothing device under multi-station coordination, characterized in that: The device comprises: An acquisition module is used to obtain electrical operation data of the main transformer in the station and the adjustable range of the new energy unit in the station, and calculate the current reactive power shortage data of the station using the electrical operation data; An analysis module, configured to analyze whether the adjustable range of the new energy generator set satisfies the reactive power shortage data, and obtain a shortage compensation strategy; a processing module configured to perform shortfall compensation on the station according to the shortfall compensation strategy, and detect voltage fluctuation data of a grid connection point in the station after the shortfall compensation; The execution module is used to query whether there is a control voltage of an adjacent station if the voltage fluctuation data is greater than a preset threshold, obtain a query result, and perform a voltage regulation operation on the station according to the voltage regulation strategy corresponding to the query result.

Images