On-site two-stage voltage control method and system based on optical storage integrated equipment

Abstract

The invention discloses an on-site two-stage voltage control method and system based on optical storage integrated equipment, and belongs to the technical field of intelligent power distribution, and the method comprises the steps: obtaining the grid-connected point voltage and equipment operation parameters of the optical storage integrated equipment, calculating the reactive voltage sensitivity of the grid-connected point, and constructing a dynamic weight coefficient model; a dynamic reactive voltage droop curve slope is obtained, and a reactive voltage droop curve control function is optimized; according to the optimized reactive voltage droop curve control function and the fixed power factor control function, carrying out first-stage adjustment on the grid-connected point voltage; and if the voltage of the grid-connected point still exceeds the preset threshold value after the first-stage adjustment is performed on the voltage of the grid-connected point, performing active power reduction control, and performing second-stage adjustment on the voltage of the grid-connected point. The method can effectively solve the limitation of the light-storage integrated equipment in the aspect of reactive power regulation in the prior art, improves the efficiency and accuracy of voltage regulation of the power distribution network, and guarantees the safe and stable operation of a power system.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of intelligent power distribution network, and particularly relates to a local two-stage voltage control method based on a light storage integrated device. BACKGROUND

[0002] Under the guidance of the strategic goal of "carbon peak and carbon neutral", the new energy power generation industry represented by wind power and photovoltaic power generation has developed rapidly. Although the large-scale distributed power supply connected to the distribution network can promote the transformation of energy structure, it also brings many challenges. Due to the limited coverage of power supply network in remote areas, and the influence of natural factors such as sunlight on photovoltaic systems, the power output fluctuates greatly and is highly uncertain. When the load of the distribution network is small, the fluctuation of photovoltaic power is easy to cause overvoltage problems.

[0003] At present, the traditional voltage regulation methods such as static variable compensator, on-load tap changer and capacitor bank are mostly used in high-penetration photovoltaic distribution networks. However, these methods have slow response speed and are difficult to cope with the rapid changes in photovoltaic power generation. Although photovoltaic inverters can improve the flexibility of voltage regulation and reduce costs, the reactive power and voltage control is limited by the apparent power and active output. At the peak of photovoltaic output, the reactive power regulation capacity of the inverter is insufficient, especially in low-voltage distribution networks with high impedance, which cannot effectively regulate the voltage of the distribution network. SUMMARY

[0004] In view of the problem that the scheduling potential of the light storage integrated device is not fully utilized in the prior art, the present application provides a local two-stage voltage control method based on a light storage integrated device and a system, which can solve the limitations of photovoltaic inverters in reactive power regulation in the prior art, take advantage of the light storage integrated device, and improve the efficiency and accuracy of voltage regulation of the distribution network. The specific technical solutions are as follows: In a first aspect, the present application provides a local two-stage voltage control method based on a light storage integrated device, comprising: obtaining the grid-connected point voltage and device operating parameters of the light storage integrated device; According to the grid-connected point voltage and device operating parameters, the reactive voltage sensitivity of the grid-connected point is calculated, and a dynamic weight coefficient model of the slope of the reactive voltage droop curve is constructed to obtain the dynamic reactive voltage droop curve slope; Based on the dynamic reactive voltage droop curve slope, the reactive voltage droop curve control function is optimized; According to the optimized reactive voltage droop curve control function and the fixed power factor control function, the reactive voltage droop control and the fixed power factor control are combined, the control mode is switched based on the comparison result of the grid-connected point voltage and the preset threshold, and the first stage regulation is performed on the grid-connected point voltage; If the grid-connected point voltage still exceeds the preset threshold after the first-stage regulation, active power reduction control is performed according to the voltage overrun amplitude to perform second-stage regulation on the grid-connected point voltage.

[0005] Preferably, the method comprises the following steps: constructing a reactive voltage sensitivity matrix based on the grid-connected point voltage and the device operating parameters; calculating the reactive voltage sensitivity of the grid-connected point based on the reactive voltage sensitivity matrix; constructing a dynamic weight coefficient model of the slope of the reactive voltage droop curve according to the reactive voltage sensitivity of the grid-connected point and a preset equalization coefficient, to obtain a dynamic reactive voltage droop curve slope; the expression of the dynamic reactive voltage droop curve slope is: wherein, represents the dynamic reactive voltage droop curve slope of the node ; is a dynamic weight coefficient; is the reactive voltage droop curve slope of the node ; is a preset equalization coefficient; is the reactive voltage sensitivity of the node .

[0006] Preferably, the dynamic weight coefficient model is based on a fuzzy logic algorithm, and voltage deviation, photovoltaic output fluctuation rate, and state of charge of the energy storage unit are input variables, and the dynamic weight coefficient of the reactive voltage droop curve slope is output.

[0007] Preferably, the optimized reactive voltage droop curve control function is: wherein, is the maximum output reactive power of the photovoltaic inverter; are respectively preset upper and lower critical threshold values of the node i voltage; is the voltage of the node i at the time t .

[0008] Preferably, the fixed power factor control function is: wherein, is an impact value of the fixed power factor on the reactive power output; is the maximum allowable output active power of the node i . is the node i at the time t of active power.

[0009] Preferably, the switching control mode based on the comparison result of the grid-connected point voltage and the preset threshold value comprises: When the grid-connected point voltage exceeds the threshold interval, switching to the reactive voltage droop control mode; When the grid-connected point voltage does not exceed the threshold interval, switching to the gradual control mode combining the reactive voltage droop control and the fixed power factor control; Wherein, the comparison result of the grid-connected point voltage and the preset threshold value is: Wherein, is the dynamic weight coefficient of the reactive voltage droop control mode.

[0010] Preferably, the first stage adjustment of the grid-connected point voltage specifically refers to that the final output reactive power is determined based on the grid-connected point voltage, the active power at the current time, and the reactive output value at the last time, which is expressed as: In the formula, is the reactive power change at the current time; is the reactive output value at the current time; is the reactive output value at the last time.

[0011] In the second aspect, the application provides a local two-stage voltage control system based on a light storage integrated device, which applies the aforementioned local two-stage voltage control method based on a light storage integrated device, comprising: A data acquisition unit is configured to acquire the grid-connected point voltage and the device operating parameters of the light storage integrated device. A slope calculation unit is configured to calculate the reactive voltage sensitivity of the grid-connected point based on the grid-connected point voltage and the device operating parameters, and construct a dynamic weight coefficient model of the slope of the reactive voltage droop curve to obtain the dynamic reactive voltage droop curve slope. A droop control optimization unit is configured to optimize the reactive voltage droop curve control function based on the dynamic reactive voltage droop curve slope. A first adjustment unit is configured to combine the reactive voltage droop control and the fixed power factor control based on the optimized reactive voltage droop curve control function and the fixed power factor control function, switch the control mode based on the comparison result of the grid-connected point voltage and the preset threshold value, and perform the first stage adjustment of the grid-connected point voltage. A second adjustment unit is configured to, if the grid-connected point voltage still exceeds the preset threshold after the first-stage adjustment, perform active power reduction control according to the voltage over-limit amplitude to perform second-stage adjustment on the grid-connected point voltage.

[0012] In a third aspect, the present application provides a computer readable storage medium comprising a stored program, wherein the program, when executed, controls a device in which the computer readable storage medium is located to perform the above-mentioned two-stage voltage control method in situ based on a photovoltaic storage integrated device.

[0013] In a fourth aspect, the present application provides a processor configured to execute a program, wherein the program, when executed, performs the steps of the above-mentioned two-stage voltage control method in situ based on a photovoltaic storage integrated device.

[0014] Compared with the prior art, the present application has the following advantages: The two-stage voltage control method in situ based on a photovoltaic storage integrated device according to the present application can realize first-stage accurate adjustment on the grid-connected point voltage by obtaining the grid-connected point voltage and the device operation parameters of the photovoltaic storage integrated device, constructing a dynamic weight coefficient model, optimizing a reactive voltage droop curve control function, and combining the reactive voltage droop control with the fixed power factor control. If the voltage still exceeds the limit after the first-stage adjustment, active power reduction control can be performed according to the voltage over-limit amplitude to perform second-stage adjustment. The method can effectively solve the limitations of the photovoltaic inverter in the photovoltaic storage integrated device in reactive power adjustment in the prior art, play the advantages of the photovoltaic storage integrated device, improve the efficiency and accuracy of the voltage regulation of the distribution network, and ensure the safe and stable operation of the power system. BRIEF DESCRIPTION OF DRAWINGS

[0015] In order to more clearly illustrate the specific embodiments of the present application or the technical solutions in the prior art, the drawings needed in the specific embodiments or the prior art description will be briefly introduced below. In all the drawings, similar elements or parts are generally identified by similar reference numerals. In the drawings, the elements or parts are not necessarily drawn according to the actual proportions.

[0016] Figure 1 A flow chart of a two-stage voltage control method in situ based on a photovoltaic storage integrated device according to an embodiment of the present application.

[0017] Figure 2 A schematic diagram of a two-stage voltage control system in situ based on a photovoltaic storage integrated device according to an embodiment of the present application.

[0018] Figure 3 A schematic diagram of a typical distribution network structure of a distribution network to which a distributed power supply is connected.

[0019] Figure 4A distribution network structure of on-site two-stage voltage control based on a light storage integrated device is shown in an embodiment of the present application. DETAILED DESCRIPTION

[0020] The technical solutions in the embodiments of the present application will be clearly and completely described with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are some of the embodiments of the present application but not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by a person of ordinary skill in the art without creative effort belong to the scope of the present application.

[0021] It should be understood that, when used in the specification, the terms "comprise" and "include" indicate the presence of described features, integers, steps, operations, elements, and / or components, but do not exclude one or more other features, integers, steps, operations, elements, components, and / or groups thereof.

[0022] It should also be understood that the terms used in the specification of the present application are only for the purpose of describing specific embodiments and are not intended to limit the present application. As used in the specification and the appended claims of the present application, the singular forms "a", "an" and "the" are intended to include the plural forms unless the context clearly indicates otherwise.

[0023] It should be further understood that the term "and / or" used in the specification of the present application means one or more of the associated listed items and all possible combinations thereof, and includes these combinations.

[0024] The following embodiments refer to Figures 1 to 4 .

[0025] As Figure 3 shown is a typical distribution network structure of distributed power access to a power distribution network. Among them, the distributed power such as photovoltaic cells and energy storage devices is usually connected to the distribution network by using electronic devices, and outputs power according to its own control strategy; the load is distributed on different feeders according to its importance and load characteristics. The distributed power grid is connected to the large power grid through the common connection point on the bus, and is in island and grid-connected operation modes according to the state of the static switch.

[0026] As Figure 4 shown, the present embodiment proposes a distribution network structure of on-site two-stage voltage control based on a light storage integrated device. Based on the distribution network structure, the present application provides a method of on-site two-stage voltage control based on a light storage integrated device, comprising the following steps: Step S1, acquiring the grid-connected point voltage and device operating parameters of the light storage integrated device; A corresponding sensor is arranged at the grid-connected point of the integrated photovoltaic and energy storage device to collect corresponding voltage and device operation parameters. The device operation parameters include real-time output of the photovoltaic module, state of charge (SOC) of the energy storage unit, charge and discharge power limit of the energy storage unit, and rated reactive capacity of the integrated photovoltaic and energy storage device.

[0027] In step S2, the reactive voltage sensitivity of the grid-connected point is calculated according to the grid-connected point voltage and the device operation parameters, and a dynamic weight coefficient model of the slope of the reactive voltage droop curve is constructed to obtain a dynamic reactive voltage droop curve slope. Specifically, the step S2 includes: In step S21, a reactive voltage sensitivity matrix is constructed based on the grid-connected point voltage and the device operation parameters. Suppose that the system has n nodes, and the integrated photovoltaic and energy storage device is connected to node i (i.e. the grid-connected point). The parameters are defined as follows: represents the node voltage amplitude; represents the node voltage phase angle; represents the node injected active power (per unit value, including the output of the integrated photovoltaic and energy storage device ); represents the node injected reactive power (per unit value, including the output of the integrated photovoltaic and energy storage device ).

[0028] The node admittance matrix is , wherein the conductance matrix, the susceptance matrix.

[0029] The power flow equation satisfies: In the formula, , is the node admittance matrix element; represents the node voltage phase angle difference; The full differential of the power flow equation is obtained to obtain the linear relationship between the power micro-variation and the voltage micro-variation: In the formula, and are the active power and reactive power micro-variation variables, respectively; is the voltage phase angle micro-variation variable; is the amplitude micro-variation variable.

[0030] wherein the Jacobian matrix is in the form of blocks as follows: The elements of each block (taking node as an example) are as follows: (P-Q sensitivity): (Q-Vangle sensitivity): M (Q-Vangle sensitivity): L (Q-Vmagnitude sensitivity): Since the Q-Vsensitivity varies from Q to Vmagnitude, the Q-Vsensitivity matrix is extracted as a sub-matrix i.e. wherein the element in the matrix represents the linear coefficient of the node voltage magnitude change when the node injects Q change , ignoring the angle influence.

[0031] Step S22, calculating the Q-Vsensitivity of the grid-connected point based on the Q-Vsensitivity matrix; Let the preset equalization coefficient be (unit, artificial constant), the purpose is to equalize the influence degree of Q adjustment of each node on the voltage, i.e. wherein is the Q droop control slope of the node . Therefore, the expression of the Q droop control slope is: wherein is the Q-Vsensitivity of the node , i.e. the influence coefficient of the self Q change on the self voltage.

[0032] Step S23, constructing a dynamic weight coefficient model of the Q-Vdroop curve slope according to the Q-Vsensitivity of the grid-connected point and the preset equalization coefficient, to obtain a dynamic Q-Vdroop curve slope; the expression of the dynamic Q-Vdroop curve slope is: wherein ​​Representative node a dynamic reactive voltage droop curve slope; is a dynamic weight coefficient; is a reactive voltage droop curve slope of the node ; is a preset equalization coefficient; is a reactive voltage sensitivity of the node .

[0033] Step S3, based on the dynamic reactive voltage droop curve slope, optimizing a reactive voltage droop curve control function; The optimized reactive voltage droop curve control function is: In the formula, is the maximum output reactive power of the photovoltaic inverter; are preset upper and lower critical thresholds of the voltage of the node i ; is the voltage of the node i at the moment t .

[0034] Step S4, according to the optimized reactive voltage droop curve control function and the fixed power factor control function, combining the reactive voltage droop control with the fixed power factor control, switching the control mode based on the comparison result of the grid-connected point voltage and the preset threshold value, and performing first-stage adjustment on the grid-connected point voltage; The fixed power factor control function is: In the formula, is the influence value of the fixed power factor on the reactive power output; is the maximum allowable output active power of the node i ; is the active power of the node i at the moment t .

[0035] The switching of the control mode based on the comparison result of the grid-connected point voltage and the preset threshold value includes: When the grid-connected point voltage exceeds the threshold interval, switching to the reactive voltage droop control mode; When the grid-connected point voltage does not exceed the threshold interval, switching to the gradual control mode of the combination of the reactive voltage droop control and the fixed power factor control; The comparison result of the grid-connected point voltage and the preset threshold value is: In the formula, is the dynamic weight coefficient of the reactive voltage droop control mode.

[0036] Specifically, the first-stage regulation of the grid-connected point voltage specifically refers to that the final output of the reactive power is determined based on the grid-connected point voltage, the active power at the current moment, and the reactive power output value at the previous moment, which is expressed as: In the formula, is the reactive power change at the current moment; is the reactive power output value at the current moment; is the reactive power output value at the previous moment.

[0037] In an actual system, the change of the active power also affects the demand for the reactive power. Therefore, in some embodiments, a correction coefficient can also be introduced to adjust the reactive power output according to the change of the active power: In the formula, is the active power correction coefficient, which is between 0.001 and 0.01, and is used to dynamically adjust the reactive power output according to the system state.

[0038] The calculated is sent to the light storage integrated device as a control instruction to achieve fast response and stable regulation of the grid-connected point voltage.

[0039] In traditional voltage control, reactive voltage droop control and fixed power factor control are often used independently. Droop control focuses on continuous adjustment of voltage deviation, but may respond to overshoot in small deviation scenarios; fixed power factor control is suitable for stable conditions, but lacks dynamic compensation for voltage fluctuations. In this embodiment, the two are combined to perform first-stage regulation of the grid-connected point voltage, which can flexibly switch or cooperate according to the voltage state, achieving complementary advantages of the two strategies.

[0040] Step S5, if the grid-connected point voltage still exceeds the preset threshold after the first-stage regulation of the grid-connected point voltage, active power reduction control is performed according to the voltage overrun amplitude to perform second-stage regulation of the grid-connected point voltage.

[0041] In the second stage, the grid-connected point voltage is further reduced by reducing the active power so that it returns to the preset voltage range. Active power reduction control is a regulation method that directly acts on the system power output and is suitable for situations where the voltage deviation is large and the reactive power regulation cannot completely solve the problem. If the grid-connected point voltage still exceeds the preset threshold after the first-stage regulation according to the real-time grid-connected point voltage collected in the control input data set, the overrun amplitude is calculated based on the real-time grid-connected point voltage, and the corresponding active power reduction control is performed according to the overrun amplitude to achieve second-stage regulation of the grid-connected point voltage.

[0042] In some embodiments, the voltage over-limit amplitude can also be divided into levels according to different reduction ratios. For example, when the voltage over-limit amplitude is greater than the first level over-limit amplitude range, the active power is controlled to be reduced by 10%; when the voltage over-limit amplitude is greater than the second level over-limit amplitude range, the active power is controlled to be reduced by 20%; when the voltage over-limit amplitude is greater than the third level over-limit amplitude range, the active power is controlled to be reduced by 30% and set to the maximum limit. The greater the over-limit amplitude, the higher the reduction ratio, and the grid power is reduced by reducing the active output, so as to suppress the voltage from continuing to over-limit.

[0043] According to the calculated reduction amount, the active power output at the current time is adjusted. The updated active power output is sent to the integrated photovoltaic and energy storage device as a control instruction.

[0044] By dividing the priority of reactive power regulation and active power reduction, the voltage fluctuation is first tried to be flattened by reactive power control, and the adjustment mode is more economical and has less impact on power generation efficiency; only when the voltage is still over-limit and the reactive power regulation fails, the active power reduction is started, which affects the power generation benefit and is used as a lower priority adjustment method. Through this hierarchical control logic, unnecessary active loss caused by unordered active / reactive regulation in traditional control is avoided, both voltage stability is ensured and photovoltaic output is maximized.

[0045] The two-stage voltage control method based on the integrated photovoltaic and energy storage device in the embodiment can effectively solve the limitations of photovoltaic inverters in reactive power regulation in the prior art, play the advantages of the integrated photovoltaic and energy storage device, improve the efficiency and accuracy of voltage regulation of the distribution network, and ensure the safe and stable operation of the power system.

[0046] Specifically, in a preferred embodiment of the present application, the dynamic weight coefficient model is based on a fuzzy logic algorithm, and takes voltage deviation, photovoltaic output fluctuation rate, and state of charge of the energy storage unit as input variables, and outputs a dynamic weight coefficient of the slope of the reactive voltage droop curve.

[0047] In specific implementation, the dynamic weight coefficient needs to combine three input variables, i.e. voltage deviation , photovoltaic output fluctuation rate , and state of charge of the energy storage unit, and realize dynamic adjustment based on a fuzzy logic algorithm.

[0048] The fuzzy processing includes: Voltage deviation: Measured voltage, Reference voltage), the fuzzy subset is defined as The membership function is represented by a triangle or a Gaussian function: Photovoltaic output fluctuation rate: Real-time output; Rated output), the fuzzy subset Energy storage SOC: , the fuzzy subset

[0049] Fuzzy rules are defined by a fuzzy rule base, and fuzzy rules are obtained by self-definition. For example, If is "positive large" and is "high" and SOC is "high"; Then is "large" and If is "zero" and is "low" and SOC is "medium"; Then is "medium" (more rules can be added according to control requirements).

[0050] Fuzzy reasoning and defuzzification are calculated by Mamdani reasoning to obtain fuzzy output, and then the centroid method is used for defuzzification to obtain clear dynamic weight coefficients : Wherein, is the membership degree of the th fuzzy rule, is the output fuzzy set center value corresponding to the th rule, is the total number of rules.

[0051] Finally, the slope of the reactive voltage droop curve of the node is: Based on the dynamic reactive voltage droop curve slope, the reactive voltage droop curve control function is optimized: Wherein, is the maximum output reactive power of the photovoltaic inverter; are the preset upper and lower critical thresholds of the voltage of the node i ; is the voltage of the node i at time t ​​​​The voltage of the power supply.

[0052] The existing reactive voltage droop control mostly adopts fixed droop coefficient or static weight, which is difficult to adapt to dynamic scenes such as photovoltaic output fluctuation and load change in the light storage device. In the embodiment, the weight coefficient of the reactive voltage droop curve slope is dynamically adjusted according to the real-time voltage deviation, photovoltaic output fluctuation rate and state of charge of the energy storage unit by using the fuzzy logic algorithm, so that the control function can adapt to the changes of the system, and the accuracy and response speed of voltage regulation are improved. For example, when the photovoltaic output fluctuation is large, the model will automatically adjust the weight coefficient, increase the regulation amount of reactive power, and quickly stabilize the voltage; when the state of charge of the energy storage unit is low, the model will appropriately reduce the output of reactive power, and avoid over-discharge of the energy storage unit. Through the adaptive dynamic adjustment in the embodiment, the weight coefficient is adjusted in real time according to the system working conditions (such as voltage deviation, photovoltaic output and energy storage state), so that the reactive regulation can more accurately match the voltage control demand, and the problem of poor adaptability of the static strategy is solved.

[0053] The embodiment of the present application also provides a local two-stage voltage control system based on a light storage integrated device, which applies the foregoing local two-stage voltage control method based on a light storage integrated device, and comprises: a data acquisition unit configured to acquire grid-connected point voltage and device operation parameters of the light storage integrated device; a slope calculation unit configured to calculate reactive voltage sensitivity of the grid-connected point according to the grid-connected point voltage and the device operation parameters, construct a dynamic weight coefficient model of a reactive voltage droop curve slope, and obtain a dynamic reactive voltage droop curve slope; a droop control optimization unit configured to optimize a reactive voltage droop curve control function based on the dynamic reactive voltage droop curve slope; a first adjustment unit configured to combine reactive voltage droop control and fixed power factor control according to the optimized reactive voltage droop curve control function and a fixed power factor control function, switch a control mode based on a comparison result of the grid-connected point voltage and a preset threshold, and perform first-stage adjustment on the grid-connected point voltage; a second adjustment unit configured to perform active power reduction control on the grid-connected point voltage according to a voltage overrun amplitude if the grid-connected point voltage still exceeds the preset threshold after the first-stage adjustment on the grid-connected point voltage.

[0054] The functions of the units in the embodiment are the same as those of the local two-stage voltage control method based on a light storage integrated device, and the technical effects are the same, which will not be repeated here.

[0055] The embodiment of the present application also provides a computer readable storage medium, which comprises a stored program, wherein the program controls a device where the computer readable storage medium is located to execute the just-in-place two-stage voltage control method based on the integrated optical storage device.

[0056] The technical effect of the embodiment is the same as that of the just-in-place two-stage voltage control method based on the integrated optical storage device, which will not be repeated here.

[0057] The present application can be used in many general or special computer system environments or configurations. For example: personal computers, server computers, handheld or portable devices, tablet devices, multiprocessor systems, microprocessor-based systems, set top boxes, programmable consumer electronics, network PCs, minicomputers, mainframe computers, distributed computing environments including any of the above systems or devices, and the like.

[0058] The embodiment of the present application also provides a processor, which is used to run a program, wherein the program executes the steps of the just-in-place two-stage voltage control method based on the integrated optical storage device when the program runs.

[0059] The technical effect of the embodiment is the same as that of the just-in-place two-stage voltage control method based on the integrated optical storage device, which will not be repeated here.

[0060] The processor in the embodiment can be a central processing unit (CPU), a controller, a microcontroller, or other data processing chips.

[0061] In the embodiments provided by the present application, it should be understood that the division of the units is only a logical function division, and another division mode can be used in actual implementation, for example, a plurality of units can be combined as one unit, one unit can be divided into a plurality of units, or some features can be ignored, etc. In addition, each functional unit in each embodiment of the present application can be integrated in one processing unit, or each unit can exist physically separately, or two or more units can be integrated in one unit. The integrated unit can be realized in the form of hardware or in the form of a software functional unit.

[0062] The integrated unit, if implemented in the form of a software function unit and sold or used as an independent product, can be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the present application essentially or say the part that contributes to the prior art or the whole or part of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes a plurality of instructions for causing a computer device (which can be a personal computer, a server or a network device, etc.) to execute all or part of the steps of the method described in the various embodiments of the present application. The aforementioned storage medium includes: a U disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a mobile hard disk, a magnetic disk or an optical disk, and various media that can store program codes.

[0063] Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present application, and not to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: it can still modify the technical solutions recorded in the foregoing embodiments, or make equivalent replacement for part or all of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the embodiments of the present application, and they should be covered in the scope of the specification of the present application.

Claims

1. A method for in-situ two-stage voltage control based on an optical storage integrated device, characterized in that, The method comprises the following steps: acquiring the grid-connected point voltage and equipment operation parameters of the light storage integrated equipment; calculating the reactive voltage sensitivity of the grid-connected point according to the grid-connected point voltage and the equipment operation parameters, and constructing a dynamic weight coefficient model of the slope of the reactive voltage droop curve to obtain a dynamic reactive voltage droop curve slope; optimizing the reactive voltage droop curve control function based on the dynamic reactive voltage droop curve slope; combining the reactive voltage droop control with the fixed power factor control according to the optimized reactive voltage droop curve control function and the fixed power factor control function, switching the control mode based on the comparison result of the grid-connected point voltage and the preset threshold, and performing first-stage adjustment on the grid-connected point voltage; if the grid-connected point voltage still exceeds the preset threshold after the first-stage adjustment, performing active power reduction control according to the voltage overrun amplitude to perform second-stage adjustment on the grid-connected point voltage. 2.The in-situ two-stage voltage control method based on the optical storage integrated device of claim 1, wherein, The step of calculating the reactive voltage sensitivity of the grid-connected point according to the grid-connected point voltage and the equipment operation parameters, and constructing a dynamic weight coefficient model of the slope of the reactive voltage droop curve comprises the following steps: constructing a reactive voltage sensitivity matrix based on the grid-connected point voltage and the equipment operation parameters; calculating the reactive voltage sensitivity of the grid-connected point based on the reactive voltage sensitivity matrix; constructing a dynamic weight coefficient model of the slope of the reactive voltage droop curve according to the reactive voltage sensitivity of the grid-connected point and a preset equalization coefficient to obtain a dynamic reactive voltage droop curve slope; the expression of the dynamic reactive voltage droop curve slope is: In the formula, indicates the dynamic reactive voltage droop curve slope of the node ; is a dynamic weight coefficient; is the reactive voltage droop curve slope of the node ; is a preset equalization coefficient; is the reactive voltage sensitivity of the node . 3.The in-situ two-stage voltage control method based on the optical storage integrated device according to claim 2, wherein, The dynamic weight coefficient model is based on a fuzzy logic algorithm, and takes voltage deviation, photovoltaic output fluctuation rate and state of charge of the energy storage unit as input variables, and outputs the dynamic weight coefficient of the slope of the reactive voltage droop curve. 4.The in-situ two-stage voltage control method based on the optical storage integrated device according to claim 2 or 3, characterized in that, The optimized reactive voltage droop curve control function is: In the formula, is the maximum output reactive power of the photovoltaic inverter; are respectively preset nodes i are respectively upper and lower critical thresholds of the voltage; is the node i at the time t of the voltage. 5.The in-situ two-stage voltage control method based on the optical storage integrated device according to claim 1, wherein, The fixed power factor control function is: wherein, is the impact value of the fixed power factor on the reactive power output; is the node i maximum permissible output active power; is the node i at the time t active power.

6. The in-situ two-stage voltage control method based on the optical storage integrated device according to claim 5, wherein, The step of switching the control mode based on the comparison result of the grid-connected point voltage and the preset threshold comprises the following steps: when the grid-connected point voltage exceeds the threshold interval, switching to the reactive voltage droop control mode; when the grid-connected point voltage does not exceed the threshold interval, switching to the gradual control mode in which the reactive voltage droop control is combined with the fixed power factor control; wherein the comparison result of the grid-connected point voltage and the preset threshold is: wherein, is a dynamic weight coefficient for the reactive voltage droop control mode.

7. The in-situ two-stage voltage control method based on the optical storage integrated device according to claim 6, wherein, The first-stage adjustment on the grid-connected point voltage is specifically determined by the final output reactive power based on the grid-connected point voltage, active power at the current time, and the reactive output value at the previous time, and is expressed as: In the formula, is the reactive power change amount at the current time; is the reactive power output value at the current time; is the reactive power output value at the previous time.

8. A two-stage voltage control system in place based on an optical storage integrated device, characterized in that, The application of the two-stage voltage control method based on the light storage integrated equipment according to any one of claims 1-7 comprises: a data acquisition unit configured to acquire the grid-connected point voltage and equipment operation parameters of the light storage integrated equipment; a slope calculation unit configured to calculate the reactive voltage sensitivity of the grid-connected point according to the grid-connected point voltage and the equipment operation parameters, and construct a dynamic weight coefficient model of the slope of the reactive voltage droop curve to obtain a dynamic reactive voltage droop curve slope; a droop control optimization unit configured to optimize the reactive voltage droop curve control function based on the dynamic reactive voltage droop curve slope; The first adjusting unit is configured to combine the reactive voltage droop control and the fixed power factor control according to the optimized reactive voltage droop curve control function and the fixed power factor control function, switch the control mode based on a comparison result of the grid-connected point voltage and a preset threshold, and perform first-stage adjustment on the grid-connected point voltage. The second adjusting unit is configured to perform active power reduction control according to a voltage overrun amplitude if the grid-connected point voltage still exceeds the preset threshold after the first-stage adjustment on the grid-connected point voltage, and perform second-stage adjustment on the grid-connected point voltage.

9. A computer-readable storage medium, characterized in that, The computer readable storage medium comprises a stored program, wherein the program controls the device where the computer readable storage medium is located to execute the just-in-place two-stage voltage control method based on the optical storage integrated device according to any one of claims 1 to 7 when the program is running.

10. A processor, comprising: The processor is configured to run a program, wherein the program executes the steps of the just-in-place two-stage voltage control method based on the optical storage integrated device according to any one of claims 1 to 7 when the program is running.

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