Active power distribution network voltage fuzzy control parameter correction method and device

Abstract

The invention provides an active power distribution network voltage fuzzy control parameter correction method and device, and the method comprises the steps: obtaining a power grid parameter of an active power distribution network; constructing a simulation platform according to the power grid parameters; correcting preset parameters in a preset voltage fuzzy control algorithm through the simulation platform; performing reactive power regulation and control on the active power distribution network according to the corrected voltage fuzzy control algorithm; wherein the voltage fuzzy control algorithm is determined and obtained through a voltage regulation and control strategy of the active power distribution network, a solution formula of a bidirectional out-of-limit voltage, a first correlation formula of an out-of-limit direction and a reactive regulation and control direction, and a second correlation formula of a voltage fluctuation rate and a reactive regulation and control quantity; the voltage regulation and control strategy is determined and obtained through the first correlation formula and the second correlation formula. Therefore, the safety performance of reactive power regulation and control on the active power distribution network can be improved.

Description

Technical Field

[0001] The embodiments of the present application relate to the field of electrical technology, and in particular to a method and device for correcting voltage fuzzy control parameters of an active power distribution network. Background Art

[0002] With the proposal of the national "dual carbon" goal and the development of renewable energy technology, the penetration rate of distributed power sources dominated by new energy in the distribution network has gradually increased. Under the large-scale grid connection of distributed new energy, the traditional distribution network has changed from a passive one-way power supply network to an active distribution network with two-way power flow. When the power generation output of the new energy generation end is higher than the load demand, the power generation power of the new energy cannot be completely consumed locally but is reversed to the superior power grid, causing power reverse transmission, resulting in voltage over-limit problems. It can be seen that the current safety performance of reactive power regulation of active distribution networks is poor. Summary of the invention

[0003] The embodiments of the present application provide a method and device for correcting voltage fuzzy control parameters of an active distribution network to solve the problem of poor safety performance of reactive power regulation in the current active distribution network.

[0004] To solve the above problems, this application is implemented as follows:

[0005] In a first aspect, an embodiment of the present application provides a method for correcting parameters of an active power distribution network voltage fuzzy control, comprising:

[0006] Obtaining grid parameters of active distribution network;

[0007] Constructing a simulation platform according to the power grid parameters;

[0008] Correcting preset parameters in a preset voltage fuzzy control algorithm through the simulation platform;

[0009] Performing reactive power control on the active distribution network according to the corrected voltage fuzzy control algorithm;

[0010] Among them, the voltage fuzzy control algorithm is determined by the voltage control strategy of the active distribution network, the solution of the bidirectional over-limit voltage, the first correlation between the over-limit direction and the reactive power control direction, and the second correlation between the voltage fluctuation rate and the reactive power control amount. The voltage control strategy is determined by the first correlation and the second correlation.

[0011] In a second aspect, an embodiment of the present application provides an active distribution network voltage fuzzy parameter correction device, comprising:

[0012] A first acquisition module, used to acquire grid parameters of the active power distribution network;

[0013] A construction module, used for constructing a simulation platform according to the power grid parameters;

[0014] A correction module, used for correcting preset parameters in a preset voltage fuzzy control algorithm through the simulation platform;

[0015] A reactive power control module, used for performing reactive power control on the active distribution network according to a corrected voltage fuzzy control algorithm;

[0016] Among them, the voltage fuzzy control algorithm is determined by the voltage control strategy of the active distribution network, the solution of the bidirectional over-limit voltage, the first correlation between the over-limit direction and the reactive power control direction, and the second correlation between the voltage fluctuation rate and the reactive power control amount. The voltage control strategy is determined by the first correlation and the second correlation.

[0017] In a third aspect, an embodiment of the present application further provides an electronic device, comprising: a memory, a processor, and a program stored in the memory and executable on the processor; the processor is used to read the program in the memory to implement the steps in the method described in the first aspect above.

[0018] In a fourth aspect, an embodiment of the present application further provides a readable storage medium for storing a program, which, when executed by a processor, implements the steps in the method described in the first aspect above.

[0019] In a fifth aspect, an embodiment of the present application further provides a computer program product, comprising computer instructions, which, when executed by a processor, implement the steps in the method described in the first aspect above.

[0020] In an embodiment of the present application, a voltage fuzzy control algorithm is determined by a voltage control strategy of an active distribution network, a solution for bidirectional over-limit voltage, a first correlation between over-limit direction and reactive power control direction, and a second correlation between voltage fluctuation rate and reactive power control amount. After correcting preset parameters in a preset voltage fuzzy control algorithm on a simulation platform constructed using grid parameters of the active distribution network, reactive power control can be performed on the active distribution network according to the corrected voltage fuzzy control algorithm. In this way, the safety performance of reactive power control on the active distribution network can be improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the description of the embodiments of the present application will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0022] Figure 1It is one of the flow charts of the method for correcting the voltage fuzzy control parameters of the active distribution network provided in the embodiment of the present application;

[0023] Figure 2 This is the second flow chart of the method for correcting the voltage fuzzy control parameters of the active distribution network provided in the embodiment of the present application;

[0024] Figure 3 is a schematic diagram of the topological structure of the active power distribution network provided in an embodiment of the present application;

[0025] Figure 4 It is a schematic diagram of a voltage over-limit value membership function of a fuzzy controller of an active power distribution network provided in an embodiment of the present application;

[0026] Figure 5 It is a schematic diagram of the voltage fluctuation rate membership function of the fuzzy controller of the active power distribution network provided in an embodiment of the present application;

[0027] Figure 6 It is a schematic diagram of the membership function of the new energy reactive power control value of the fuzzy controller of the active distribution network provided in the embodiment of the present application;

[0028] Figure 7 It is a load power fluctuation diagram in an active distribution network provided in an embodiment of the present application;

[0029] Figure 8 It is a power fluctuation diagram of a new energy unit in an active power distribution network provided by an embodiment of the present application;

[0030] Fig. 9 It is an operating condition diagram of the voltage at the grid connection point of new energy in the active distribution network without control in the related technology;

[0031] Fig.10 It is an operating condition diagram of the voltage at the grid connection point of a new energy source in the active distribution network provided by the embodiment of the present application under the control of the simulation platform provided by the present application;

[0032] Fig.11 It is a structural schematic diagram of an active distribution network voltage fuzzy parameter correction device provided in an embodiment of the present application;

[0033] Fig.12 It is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0034] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0035] The terms "first", "second" etc. in the embodiments of the present application are used to distinguish similar objects, and need not be used to describe a specific order or sequential order. In addition, the terms "include" and "have" and any variation thereof are intended to cover non-exclusive inclusions, for example, the process, method, system, product or equipment comprising a series of steps or units need not be limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or equipment. In addition, "and / or" is used in the present application to represent at least one of connected objects, such as A and / or B and / or C, representing the inclusion of separate A, separate B, separate C, and A and B all exist, B and C all exist, A and C all exist, and 7 situations that A, B and C all exist.

[0036] It should be noted that when distributed energy is new energy, the voltage of the active distribution network fluctuates frequently due to the inherent randomness and volatility of distributed energy, which puts forward higher requirements on the response speed and real-time performance of voltage control. The reactive voltage control devices in the relevant technology mainly include discrete reactive compensation devices such as on-load tap-changing transformers and capacitor banks, but the above devices can only perform discrete control, have slow adjustment speed, and cannot achieve continuous and precise adjustment, which makes it difficult to adapt to the needs of power grids with a high proportion of new energy.

[0037] Traditional voltage regulation equipment is difficult to respond quickly and adjust effectively. In contrast, photovoltaic inverters can continuously and smoothly adjust the output reactive power. Photovoltaic inverters have the advantages of fast adjustment speed and real-time response speed, and can be applied to reactive voltage control to solve the above problems.

[0038] In addition, for the reactive voltage control problem, according to the different system structures, it is mainly divided into centralized and decentralized. Centralized control aims at global optimization of the system, uniformly allocates controllable resources, and has the best control effect. However, in the solution process, the centralized optimization model is highly dependent on calculation and communication, resulting in a high communication burden, large amount of calculation, and low control efficiency, making it difficult to cope with real-time grid operating disturbances; decentralized control only makes decisions based on local information, and has the characteristics of fast response speed and low action delay, but in actual applications, it lacks coordination between various devices, resulting in poor voltage control accuracy, high voltage fluctuation rate, and low quality. In order to solve the above problems, the following embodiments are hereby proposed.

[0039] See also Figure 1 , Figure 1 is a flow chart of a method for correcting voltage fuzzy control parameters of an active power distribution network provided in an embodiment of the present application. The embodiment of the present application can be applied to a controller, which can be referred to as a control system or a system, and the controller can be electrically connected to an active power distribution network, such as Figure 1 As shown, the active distribution network voltage fuzzy control parameter correction method may include the following steps:

[0040] Step 101: Obtain grid parameters of the active power distribution network.

[0041] Among them, the grid parameters can also be referred to as actual grid parameters or actual grid data, and the specific contents are not limited here. Optionally, the grid parameters can include the actual power usage and rated power supply of the grid.

[0042] It should be noted that a photovoltaic inverter may be provided in the controller of the embodiment of the present application, so that the output reactive power can be adjusted continuously and smoothly, and the photovoltaic inverter has a fast adjustment speed and the advantage of real-time response speed, and can be applied to reactive voltage control.

[0043] Step 102: construct a simulation platform according to the power grid parameters.

[0044] Among them, the specific method of constructing the simulation platform according to the power grid parameters is not limited here. Optionally, based on the power grid parameters, a power grid is built in a commercial mathematical software (such as the matrix factory software MATLAB) using a MATLAB-based portable and open power system analysis software package (Power System Analysis Toolbox, PSAT) to obtain a simulation platform.

[0045] Step 103: Correcting preset parameters in the preset voltage fuzzy control algorithm through the simulation platform.

[0046] It should be noted that when the above controller is a fuzzy controller, due to the decentralized execution of the fuzzy controller in actual operation, it will be affected by the mutual influence between different controllers, resulting in the actual control effect of the voltage cannot be guaranteed, and even serious over-control phenomenon. Based on this, the controller of the embodiment of the present application needs to adjust its specific fuzzy parameters after construction.

[0047] Before actual application, the fuzzy controller is tested on the simulation platform to verify its control effect under different working conditions, and the control parameters are further optimized according to the simulation results. The purpose of parameter adjustment is to optimize the performance of the fuzzy controller so that it has a good voltage control effect.

[0048] Among them, the specific method of correcting the preset parameters in the preset voltage fuzzy control algorithm through the simulation platform is not limited here. Optionally, multiple power flow calculations can be performed through the simulation platform to correct the preset parameters in the preset voltage fuzzy control algorithm.

[0049] For example: Based on the actual grid data (i.e. the grid parameters of the active distribution network), the simulation platform is built using the PSAT simulation toolbox in MATLAB. Through the continuous flow calculation of a large amount of load and photovoltaic power fluctuation data, under fuzzy control, the fuzzy domain of the membership function in the fuzzy control (i.e. the preset parameters in the preset voltage fuzzy control algorithm) is corrected through the voltage operation state after control. Through continuous simulation and experiments, the shape and position of the membership function are repeatedly adjusted to better describe the input and output variables until the performance of the controller meets the requirements.

[0050] It should be noted that the specific types of the above preset parameters are not limited here. Optionally, the above preset parameters may be fuzzy domain parameters of the membership function in the voltage fuzzy control algorithm, and may specifically refer to at least one of the following parameters:

[0051] Among them, the fuzzy domain parameters may include multiple parameters, and the labels of the multiple parameters may be NB, NM, Z, PM, PB, N, Z, and P respectively. The above NB, NM, Z, PM, PB, N, Z, and P may respectively represent negative large, negative medium, medium, positive medium, positive large, small, medium, and large values.

[0052] It should be noted that the fuzzy domain parameters of the membership function can be found in Figures 4 to 6 As shown, the fuzzy domain parameters can be expressed as Figures 4 to 6 The size of the area enclosed by the figures shown in .

[0053] Step 104: Perform reactive power control on the active distribution network according to the corrected voltage fuzzy control algorithm.

[0054] Among them, the voltage fuzzy control algorithm is determined by the voltage control strategy of the active distribution network, the solution of the bidirectional over-limit voltage, the first correlation between the over-limit direction and the reactive power control direction, and the second correlation between the voltage fluctuation rate and the reactive power control amount. The voltage control strategy is determined by the first correlation and the second correlation.

[0055] In the embodiment of the present application, through steps 101 to 104, the voltage fuzzy control algorithm is determined by the voltage control strategy of the active distribution network, the solution of the bidirectional over-limit voltage, the first correlation between the over-limit direction and the reactive power control direction, and the second correlation between the voltage fluctuation rate and the reactive power control amount. After the preset parameters in the preset voltage fuzzy control algorithm are corrected on the simulation platform constructed by the grid parameters of the active distribution network, the reactive power control of the active distribution network can be performed according to the corrected voltage fuzzy control algorithm. In this way, the safety performance of the reactive power control of the active distribution network can be improved.

[0056] It should be noted that the embodiment of the present application proposes a multi-input single-output fuzzy reasoning control system (i.e., the system can be applied to the above-mentioned controller) by considering the voltage fluctuation rate and combining the reactive-voltage control direction mechanism to achieve voltage regulation while smoothing the voltage operation curve. Finally, considering the disadvantage of the lack of coordination in the decentralized execution of the controller, a control framework of "centralized optimization and decentralized execution" (i.e., the control framework of the above-mentioned controller) is constructed. After the fuzzy controller (i.e., the above-mentioned controller) is established, the relevant parameters of the membership function in the model controller (i.e., the preset parameters in the voltage fuzzy control algorithm) are centralized and optimized based on the simulation platform through the historical database flow calculation simulation. Finally, the rapid regulation of reactive power and real-time control of the grid voltage under the decentralized execution of the photovoltaic inverter are realized, which can greatly reduce the complexity of the model and the difficulty of solving the problem, and provide effective support for the safe and stable operation of the active distribution network.

[0057] That is, the idea of ​​this application is: based on the voltage and voltage fluctuation rate, based on the reactive voltage control relationship, a dual-input single-output voltage-reactive fuzzy control system is constructed, which realizes rapid reactive voltage control without relying on an accurate mathematical model, provides an effective control method for dealing with grid uncertainty and dynamic changes, and promotes the application of intelligent control technology in power systems. At the same time, the idea of ​​centralized optimization of controller-related parameters combined with a simulation platform is adopted to further reduce the shortcomings of decentralized execution strategies and improve control accuracy.

[0058] As an optional implementation, the method further includes:

[0059] Calculating the first correlation equation to obtain a reactive power control direction parameter, and calculating the second correlation equation to obtain a reactive power control amount change rate parameter;

[0060] Analyzing the reactive power control amount change rate parameter to obtain the reactive power control amount change value;

[0061] The voltage control strategy is determined based on the solution of the bidirectional over-limit voltage, the reactive power control direction parameter and the reactive power control amount change value.

[0062] In the implementation mode of the present application, the reactive control amount change rate parameter is analyzed to obtain the reactive control amount change value, and then the voltage control strategy is determined based on the solution of the bidirectional over-limit voltage, the reactive control direction parameter and the reactive control amount change value. In this way, the accuracy of the obtained voltage control strategy can be improved.

[0063] It should be noted that the specific method of parsing the reactive control amount change rate parameter to obtain the reactive control amount change value is not limited here. As an optional implementation, the product of the reactive control amount change rate parameter and the rated reactive control amount can be calculated to obtain the reactive control amount change value.

[0064] As another optional implementation manner, the parsing of the reactive control amount change rate parameter to obtain the reactive control amount change value includes:

[0065] Inputting the reactive power control amount change rate parameter into a solution method to obtain the reactive power control amount change value;

[0066]

[0067] Among them, ΔQ new represents the change value of the reactive power control amount, solve represents solving the equation, Δt represents the control time window, represents the reactive power control quantity change rate parameter, represents the voltage vector-time function of node j; P 0-j (t) represents the active power-time function of the root node to the j node voltage transmission; Q 0-j (t) represents the reactive power-time function transmitted from the root node to the j node voltage, U 0 Represents the voltage value of the root node, R 0-j represents the resistance between the root node and the j node; X 0-j represents the reactance between the root node and the j node, and J represents a complex variable.

[0068] In the implementation manner of the present application, the reactive control amount change rate parameter is input into the solution method for solution to obtain the reactive control amount change value. In this way, the diversity and flexibility of the reactive control amount change value calculation method can be improved, and at the same time, the accuracy of the calculation result of the reactive control amount change value can also be improved.

[0069] As an optional implementation manner, the voltage control strategy is determined according to the solution formula of the bidirectional over-limit voltage, the reactive power control direction parameter and the reactive power control amount change value, including:

[0070] Determining the over-limit direction of the voltage of the active distribution network according to the solution formula of the bidirectional over-limit voltage;

[0071] The voltage control strategy is determined by combining the over-limit direction, the reactive power control direction parameter and the reactive power control amount change value.

[0072] Among them, the voltage exceeding the limit direction of the active distribution network may include the voltage exceeding the upper limit direction and the voltage exceeding the lower limit direction, that is, the voltage exceeding the upper limit direction may refer to the direction in which the voltage of the active distribution network exceeds the voltage upper limit value, and the voltage exceeding the lower limit direction may refer to the direction in which the voltage of the active distribution network exceeds the voltage lower limit value.

[0073] The voltage regulation strategy may include the regulation direction and regulation magnitude, and the regulation magnitude may refer to the change value of reactive power regulation (i.e., ΔQ new ), the over-limit direction refers to the voltage exceeding the upper limit direction or the voltage exceeding the lower limit direction. When the voltage over-limit direction is the voltage exceeding the upper limit direction, the voltage control strategy can be the voltage absorbing the change value of the reactive control amount downward; when the voltage over-limit direction is the voltage exceeding the lower limit direction, the voltage control strategy can be the voltage outputting the change value of the reactive control amount upward. The voltage control strategy can be specifically referred to the control strategy table shown in Table 1.

[0074] Table 1 Control strategy table

[0075]

[0076] In the implementation manner of the present application, compared with the above implementation manner, the voltage control strategy is determined by combining the over-limit direction, reactive power control direction parameter and reactive power control amount change value, thereby further enhancing the accuracy of the result of the determined voltage control strategy.

[0077] As an optional implementation, it also includes:

[0078] Obtaining a preset voltage control strategy for the active distribution network;

[0079] The voltage preset control strategy is fuzzy processed to obtain the voltage control strategy.

[0080] In the implementation manner of the present application, the preset voltage control strategy is fuzzy processed to obtain the voltage control strategy, so that the diversity of the voltage control strategy can be further increased.

[0081] It should be noted that the voltage preset control strategy is fuzzy processed to obtain the voltage control strategy, which can be specifically fuzzy processed on the preset parameters in the voltage preset control strategy. For details, please refer to Table 2, that is, the fuzzy processing of the preset parameters can be performed according to the rules shown in Table 2.

[0082] Table 2 Fuzzy control rules table

[0083]

[0084] As shown in Table 2, the column parameters (i.e., N, Z, and P) in the fuzzy control rule table are the voltage change rates, and the row parameters (i.e., NB, NM, Z, PM, and PB) are the voltage over-limit change values. The NB, NM, Z, PM, PB, N, Z, and P in the table represent the values ​​of negative large, negative medium, medium, positive medium, positive large, small, medium, and large, respectively. The parameters ΔU and The corresponding parameters can be understood as fuzzy processed parameters.

[0085] It should be noted that the basic principles for establishing Table 2 are:

[0086] 1) When the voltage deviation is large and the voltage change rate is large compared with the previous moment, the voltage is more likely to exceed the upper limit. The inductive reactive power should be absorbed to a greater extent to reduce the voltage. This principle means that when the voltage exceeds the upper limit seriously, a large amount of inductive reactive power should be absorbed to reduce the problem of voltage exceeding the upper limit.

[0087] 2) When the voltage deviation is small and the voltage change rate compared with the previous moment is small, the voltage is more likely to exceed the lower limit. Inductive reactive power should be generated to a greater extent to increase the voltage. This principle means that when the voltage exceeds the lower limit seriously, the problem of voltage exceeding the lower limit should be reduced by generating inductive reactive power.

[0088] For example, taking the first rule in Table 2 as an example, it is described as: when ΔU is NB and When N is For PB.

[0089] In addition, based on the above implementation, the voltage preset control strategy may be fuzzy processed to obtain a voltage control strategy.

[0090] For example, after the membership function and control rule (i.e., voltage regulation strategy) are obtained through fuzzification and fuzzy reasoning, the fuzzy quantity of control can be obtained. The fuzzy quantity is realized by the fuzzy reasoning rule using the Mamdani algorithm, and then the centroid method is used to defuzzify and obtain the precise quantity of the control signal. The expression is as follows:

[0091]

[0092] Where H represents the number of fuzzy rules, W h Indicates the membership degree of the hth inference rule, Out h represents the output of the hth fuzzy rule, and Y represents the output The exact amount.

[0093] In addition, the adjustment ideas based on Table 2 are:

[0094] 1) If the voltage exceeds the upper limit and the voltage change rate is large, after fuzzy control, the voltage still exceeds the limit, which means that the output reactive power control amount is too small. The control rule at this time is "NB", that is, negative large, then the position or shape of the membership function of NB should be adjusted to increase the reactive power control amount.

[0095] 2) If the voltage exceeds the lower limit and the rate of change is small, after fuzzy control, the voltage still exceeds the lower limit, which means that the reactive power control amount is too small. At this time, the corresponding fuzzy control rule is "PB", that is, positive large. The position or shape of the membership function of PB should be adjusted to increase the reactive power control amount.

[0096] 3) If the voltage does not exceed the limit before adjustment, but exceeds the limit after the fuzzy controller, it means that the reactive power control amount is too large at this time. Appropriate adjustment should be made according to the output membership function corresponding to the fuzzy control rule at this time, so that the reactive power control amount in this case is reduced.

[0097] As an optional implementation, the solution of the bidirectional over-limit voltage includes a bidirectional power flow node voltage-power calculation formula;

[0098] Wherein, when the active distribution network is in a state where the root node radiates and transmits power to each branch node, the voltage-power calculation formula of the bidirectional power flow node is:

[0099]

[0100] in, represents the voltage vector of node j in the active distribution network; represents a root node voltage vector in the active distribution network; represents the apparent power transmitted from the root node to the j node; Z 0-j represents the impedance between the root node and the j node; P 0-j represents the active power transmitted from the root node to the j node; Q 0-j represents the reactive power transmitted from the root node to the j node; R 0-j represents the resistance between the root node and the j node; X 0-j represents the reactance between the root node and the j node, and J represents a complex variable;

[0101] Among them, when the active distribution network is in a state where the root node and the new energy generation end jointly radiate and transmit power to each branch node, the bidirectional power flow node voltage-power calculation formula is:

[0102]

[0103] in, Indicates that the j node crosses the lower limit voltage vector; P 0-j,0 represents the active power transmitted from the root node to the j node; P 0-j,new represents the active power generated by the new energy generating end transmitted from the root node to the j node; Q 0-j，0represents the active power transmitted from the root node to the j node; Q 0-j,new represents the reactive power generated by the new energy generation end transmitted from the root node to the j node, U 0 represents the voltage value of the root node;

[0104] Wherein, when the active distribution network is in a state where the new energy generation end radiates and transmits power to the root node, the voltage-power calculation formula of the bidirectional power flow node is:

[0105]

[0106] in, Indicates that the j node exceeds the upper voltage limit vector.

[0107] It should be noted that when the power system is in steady-state operation, the power flow of the active distribution network is transmitted from the generator set to the load. Since the active distribution network operates in a radial manner, the root node of the active distribution network can usually be regarded as an infinite busbar, supplying power to the entire active distribution network. Therefore, in the absence of distributed access to new energy sources, the entire active distribution network has a positive power transmission characteristic of "radiation transmission from the root node to each branch", that is, at this time, the active distribution network is in a state of radiating power transmission from the root node to each branch node.

[0108] With the distributed feed-in of renewable energy generation, the power transmission direction in the active distribution network changes. When the injected power of renewable energy generation does not exceed the load demand, the power flow of the active distribution network is composed of the injected power of renewable energy and the injected power of the root node, that is, at this time, the active distribution network is in a state where the root node and renewable energy generation jointly radiate and transmit power to each branch node.

[0109] When the transmission power of the renewable energy power generation end is higher than the load demand, the power grid flow distribution changes, and a reverse flow phenomenon occurs in which power is transmitted from the renewable energy power generation end to the root node. That is, at this time, the active distribution network is in a state of radiating power transmission from the renewable energy power generation end to the root node.

[0110] In the implementation manner of the present application, different calculation formulas are constructed according to the different states of the active distribution network. In this way, the diversity and flexibility of the bidirectional power flow node voltage-power calculation formula are further increased. At the same time, the accuracy of the calculation results of the bidirectional power flow node voltage-power calculation formula when the active distribution network is in different states is further improved.

[0111] As an optional implementation manner, the solution formula for the bidirectional over-limit voltage also includes a voltage bidirectional over-limit model calculation formula;

[0112] When the voltage of the active distribution network exceeds the lower limit, the voltage bidirectional over-limit model calculation formula is:

[0113]

[0114] Among them, ΔU j Indicates that the voltage exceeds the lower limit value; U j represents the voltage value of node j in the active distribution network, and U represents the voltage lower limit standard value;

[0115] When the voltage of the active distribution network exceeds the upper limit, the voltage bidirectional over-limit model calculation formula is:

[0116]

[0117] in, Indicates that the voltage exceeds the upper limit value; Indicates the standard value of the voltage upper limit.

[0118] Among them, the values ​​of the voltage lower limit standard value and the voltage upper limit standard value are not limited here. Optionally, they can be selected according to the standard values ​​in the operation manual, and optionally, they can also be selected according to the parameter values ​​in the corresponding scenarios in the historical sample data.

[0119] In the implementation manner of the present application, the voltage bidirectional over-limit model calculation formula corresponding to the voltage exceeding the upper limit and the voltage exceeding the lower limit of the active distribution network are different. In this way, the diversity and flexibility of the voltage bidirectional over-limit model calculation formula are increased, and the accuracy of the calculation result of the voltage bidirectional over-limit model calculation formula is further improved when the voltage of the active distribution network exceeds the upper limit and the lower limit.

[0120] As an optional implementation,

[0121] When the voltage of the active power distribution network exceeds the lower limit, the first correlation equation is:

[0122]

[0123] Among them, ΔU represents the voltage microvariable; ΔQ new Indicates the reactive power fine-tuning amount of the new energy power generation end;

[0124] When the voltage of the active power distribution network exceeds the upper limit, the first correlation equation is:

[0125]

[0126] Among them, the reactive power control direction can also be called the control resource control direction.

[0127] In the implementation manner of the present application, the diversity and flexibility of the first association formula can be further increased, and when the voltage of the active distribution network exceeds the upper limit and the lower limit, the corresponding first association formula is different. In this way, the accuracy of the calculation results of the over-limit direction and the reactive power control direction can be further increased.

[0128] As an optional implementation manner, the voltage fluctuation rate is:

[0129]

[0130] and

[0131] The voltage fluctuation rate may also be referred to as the node voltage change rate of the active distribution network, and the above calculation formula may be referred to as the calculation formula of the node voltage change rate of the active distribution network.

[0132] In the implementation manner of the present application, the voltage fluctuation rate calculated using the above calculation formula has high accuracy and high calculation efficiency.

[0133] It should be noted that the embodiment of the present application establishes a solution for the bidirectional over-limit voltage of the active distribution network, and clearly gives the physical expression of the over-limit value of the voltage, which provides a reference value for subsequent voltage control research. At the same time, the embodiment of the present application also establishes a first correlation between the voltage over-limit direction and the reactive power regulation direction of the active distribution network, and clearly expresses the solution for the voltage over-limit regulation direction from a mathematical level, which provides a reference for subsequent voltage control. At the same time, the embodiment of the present application also establishes a second correlation between the voltage fluctuation rate and the reactive power regulation amount of the active distribution network, and proposes a relationship between the voltage operating condition smoothness and the regulation intensity from a mathematical level, which provides a reference for subsequent voltage control.

[0134] In addition, the embodiment of the present application also uses the voltage fluctuation rate as the input of fuzzy control to achieve safe regulation and smooth control of voltage. In addition, the embodiment of the present application combines centralized control and decentralized control to construct the control idea of ​​fuzzy control of "centralized parameter optimization and decentralized voltage control", which improves the control efficiency while reducing the disadvantage that the decentralized control effect is difficult to guarantee.

[0135] It should be noted that, in order to more fully illustrate the above embodiment, the embodiment of the present application also provides a specific application diagram of the active distribution network voltage fuzzy control parameter correction method, see Figure 2 ,Right now Figure 2 This is a flow chart of another method for correcting voltage fuzzy control parameters of an active power distribution network provided in an embodiment of the present application, which will not be described in detail here.

[0136] It should be noted that, in order to more fully illustrate the beneficial technical effects of the above embodiments, the present application also provides an embodiment of simulation verification in an active distribution network with modified IEEE-33 nodes. The simulation test environment (i.e., simulation platform) may include: Intel 13th generation i7_13700F processor, 16GB memory, Windows 11 computer operating system, and the simulation tool uses the PSAT power system simulation toolbox under MATLAB. For details, please refer to Figures 3 to 10 .

[0137] Step (1): Modify the IEEE-33 node system and connect the photovoltaic unit (i.e., the renewable energy power generation end) to the distributed system. In the modified IEEE-33 node active distribution network, the line parameters and topology of the original system are guaranteed to remain unchanged. The node set {1,2,…,33,} is the original system node. Nodes 7, 16, 21, 24, and 30 are connected to photovoltaic. The modified system network topology is shown in the figure below: Figure 3 The rated power of the connected PV units is shown in the following table.

[0138] Table 3 Modified IEEE-33 node active distribution network system equipment parameter setting table

[0139]

[0140] Step (2): The light and load power fluctuation data in the example are set with reference to the sample area data from 2020 to 2023. 70% of the data in the set database is used as the parameter setting database, and 30% is set as the verification database.

[0141] Step (3): Establish a fuzzy controller in MATLAB.

[0142] Step (4): Run the controller in the simulation system, set the system according to the parameters in the parameter setting database, and set the fuzzy control membership function parameters through power flow calculation and combined with the voltage effect after control to determine the membership function.

[0143] Step (5): Take the photovoltaic and load fluctuation data of a certain day in the verification database as an example. Figure 7 and Figure 8 , the system is simulated with a time window of 15 minutes throughout the day, and the voltage operation condition diagram of the new energy grid-connected point of the system without control is drawn, such as Fig. 9 .

[0144] Step (6): The controller under the control method provided in the embodiment of the present application performs voltage control on the system in step (5), and draws a voltage operation condition diagram of the new energy grid-connected point of the system under control, such as Fig.10 .

[0145] Depend on Figures 3 to 10 It can be seen that the control framework of "centralized parameter optimization and decentralized voltage control" proposed in the embodiment of the present application can realize parameter setting of the model controller under data drive and realize decentralized and effective voltage control within a day. The fuzzy controller can provide effective support for voltage control.

[0146] It should be noted that see Figure 4 , Figure 5 , Figure 6 , Fig. 9 and Fig.10 , Figure 4 , Figure 5 , Figure 6 , Fig. 9 and Fig.10 The horizontal axis is time. Figure 4 The vertical axis is the value of ΔU (the voltage over-limit value of the fuzzy controller). Figure 5 The vertical axis is the value of ΔU / Δt (the voltage fluctuation rate of the fuzzy controller). Figure 6 The vertical coordinate is ΔQ new The value of (the fuzzy controller's new energy reactive power control value) is Fig. 9 and Fig.10 The vertical axes are all voltage values.

[0147] See also Fig.11 , Fig.11 is a structural diagram of the active distribution network voltage fuzzy parameter correction device provided in an embodiment of the present application, such as Fig.11 As shown, the active distribution network voltage fuzzy parameter correction device 1100 includes:

[0148] A first acquisition module 1101 is used to acquire grid parameters of the active power distribution network;

[0149] A construction module 1102 is used to construct a simulation platform according to the power grid parameters;

[0150] A correction module 1103, used for correcting preset parameters in a preset voltage fuzzy control algorithm through the simulation platform;

[0151] A reactive power control module 1104, configured to perform reactive power control on the active power distribution network according to the corrected voltage fuzzy control algorithm;

[0152] Among them, the voltage fuzzy control algorithm is determined by the voltage control strategy of the active distribution network, the solution of the bidirectional over-limit voltage, the first correlation between the over-limit direction and the reactive power control direction, and the second correlation between the voltage fluctuation rate and the reactive power control amount. The voltage control strategy is determined by the first correlation and the second correlation.

[0153] As an optional implementation, it also includes:

[0154] A calculation module, used for calculating the first correlation equation to obtain a reactive power control direction parameter, and calculating the second correlation equation to obtain a reactive power control amount change rate parameter;

[0155] An analysis module, used for analyzing the reactive power control amount change rate parameter to obtain a reactive power control amount change value;

[0156] The first determination module is used to determine the voltage control strategy according to the solution of the bidirectional over-limit voltage, the reactive power control direction parameter and the reactive power control amount change value.

[0157] As an optional implementation, the parsing module is further used to:

[0158] Inputting the reactive power control amount change rate parameter into a solution method for solution to obtain the reactive power control amount change value;

[0159]

[0160] Among them, ΔQ new represents the change value of the reactive power control amount, solve represents solving the equation, Δt represents the control time window, represents the reactive power control quantity change rate parameter, represents the voltage vector-time function of node j; P 0-j (t) represents the active power-time function of the root node to the j node voltage transmission; Q 0-j (t) represents the reactive power-time function transmitted from the root node to the j node voltage, U 0 Represents the voltage value of the root node, R 0-j represents the resistance between the root node and the j node; X 0-j represents the reactance between the root node and the j node, and J represents a complex variable.

[0161] As an optional implementation manner, the first determining module includes:

[0162] A first determination submodule, configured to determine an over-limit direction of the voltage of the active distribution network according to a solution formula for the bidirectional over-limit voltage;

[0163] The second determination submodule is used to determine the voltage control strategy by combining the over-limit direction, the reactive power control direction parameter and the reactive power control amount change value.

[0164] As an optional implementation, it also includes:

[0165] A second acquisition module is used to acquire a preset voltage control strategy of the active power distribution network;

[0166] The fuzzy processing module is used to perform fuzzy processing on the preset voltage control strategy to obtain the voltage control strategy.

[0167] As an optional implementation, the solution of the bidirectional over-limit voltage includes a bidirectional power flow node voltage-power calculation formula;

[0168] Wherein, when the active distribution network is in a state where the root node radiates and transmits power to each branch node, the voltage-power calculation formula of the bidirectional power flow node is:

[0169]

[0170] in, represents the voltage vector of node j in the active distribution network; represents a root node voltage vector in the active distribution network; represents the apparent power transmitted from the root node to the j node; Z 0-j represents the impedance between the root node and the j node; P 0-j represents the active power transmitted from the root node to the j node; Q 0-j represents the reactive power transmitted from the root node to the j node; R 0-j represents the resistance between the root node and the j node; X 0-j represents the reactance between the root node and the j node, and J represents a complex variable;

[0171] Among them, when the active distribution network is in a state where the root node and the new energy generation end jointly radiate and transmit power to each branch node, the bidirectional power flow node voltage-power calculation formula is:

[0172]

[0173] in, Indicates that the j node crosses the lower limit voltage vector; P 0-j,0 represents the active power transmitted from the root node to the j node; P 0-j,new represents the active power generated by the new energy generating end transmitted from the root node to the j node; Q 0-j，0 represents the active power transmitted from the root node to the j node; Q 0-j,new represents the reactive power generated by the new energy generation end transmitted from the root node to the j node, U 0 represents the voltage value of the root node;

[0174] Wherein, when the active distribution network is in a state where the new energy generation end radiates and transmits power to the root node, the voltage-power calculation formula of the bidirectional power flow node is:

[0175]

[0176] in, Indicates that the j node exceeds the upper voltage limit vector.

[0177] As an optional implementation manner, the solution formula for the bidirectional over-limit voltage also includes a voltage bidirectional over-limit model calculation formula;

[0178] When the voltage of the active distribution network exceeds the lower limit, the voltage bidirectional over-limit model calculation formula is:

[0179]

[0180] Among them, ΔU j Indicates that the voltage exceeds the lower limit value; U j represents the voltage value of node j in the active distribution network, and U represents the voltage lower limit standard value;

[0181] When the voltage of the active distribution network exceeds the upper limit, the voltage bidirectional over-limit model calculation formula is:

[0182]

[0183] in, Indicates that the voltage exceeds the upper limit value; Indicates the standard value of the voltage upper limit.

[0184] As an optional implementation manner, when the voltage of the active power distribution network exceeds the lower limit, the first correlation equation is:

[0185]

[0186] Among them, ΔU represents the voltage microvariable; ΔQ new Indicates the reactive power fine-tuning amount of the new energy power generation end;

[0187] When the voltage of the active power distribution network exceeds the upper limit, the first correlation equation is:

[0188]

[0189] As an optional implementation manner, the voltage fluctuation rate is:

[0190]

[0191] and

[0192] The active distribution network voltage fuzzy parameter correction device 1100 can realize the embodiment of the present application Figure 1 The various processes of the method embodiment and the same beneficial effects are achieved, and will not be described again here to avoid repetition.

[0193] The present application also provides an electronic device. Fig.12 , the electronic device may include a processor 1201, a memory 1202, and a program 12021 stored in the memory 1202 and executable on the processor 1201. When the program 12021 is executed by the processor 1201, Figure 1 Any steps in the corresponding method embodiments and achieving the same beneficial effects will not be repeated here.

[0194] A person skilled in the art can understand that all or part of the steps of implementing the above-mentioned embodiment method can be completed by hardware related to program instructions, and the program can be stored in a readable medium. The present application also provides a readable storage medium on which a computer program is stored, and when the computer program is executed by a processor, the above-mentioned Figure 1 Any steps in the corresponding method embodiments can achieve the same technical effect and will not be repeated here to avoid repetition.

[0195] The storage medium may be a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0196] The present application also provides a computer program product, including computer instructions, which can achieve the above-mentioned Figure 1 Any steps in the corresponding method embodiments can achieve the same technical effect and will not be repeated here to avoid repetition.

[0197] The above is a preferred implementation of the embodiment of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles described in the present application. These improvements and modifications should also be regarded as the scope of protection of the present application.

Claims

1. A method for correcting fuzzy control parameters of voltage in an active distribution network, characterized in that: include: Obtaining grid parameters of active distribution network; Constructing a simulation platform according to the power grid parameters; Correcting preset parameters in a preset voltage fuzzy control algorithm through the simulation platform; Performing reactive power control on the active distribution network according to the corrected voltage fuzzy control algorithm; Among them, the voltage fuzzy control algorithm is determined by the voltage control strategy of the active distribution network, the solution of the bidirectional over-limit voltage, the first correlation between the over-limit direction and the reactive power control direction, and the second correlation between the voltage fluctuation rate and the reactive power control amount. The voltage control strategy is determined by the first correlation and the second correlation.

2. The method according to claim 1, characterized in that The method further comprises: Calculating the first correlation equation to obtain a reactive power control direction parameter, and calculating the second correlation equation to obtain a reactive power control amount change rate parameter; Analyzing the reactive power control amount change rate parameter to obtain the reactive power control amount change value; The voltage control strategy is determined based on the solution of the bidirectional over-limit voltage, the reactive power control direction parameter and the reactive power control amount change value.

3. The method according to claim 2, characterized in that The step of analyzing the reactive power control amount change rate parameter to obtain the reactive power control amount change value includes: Inputting the reactive power control amount change rate parameter into a solution method for solution to obtain the reactive power control amount change value; Among them, ΔQ new represents the change value of the reactive power control amount, solve represents solving the equation, Δt represents the control time window, represents the reactive power control quantity change rate parameter, represents the voltage vector-time function of node j; P 0-j (t) represents the active power-time function of the root node to the j node voltage transmission; Q 0-j (t) represents the reactive power-time function of the voltage transmission from the root node to the j node, U0 represents the voltage value of the root node, R 0-j represents the resistance between the root node and the j node; X 0-j represents the reactance between the root node and the j node, and J represents a complex variable.

4. The method according to claim 2, characterized in that: The voltage control strategy is determined according to the solution of the bidirectional over-limit voltage, the reactive power control direction parameter and the reactive power control amount change value, including: Determining the over-limit direction of the voltage of the active distribution network according to the solution formula of the bidirectional over-limit voltage; The voltage control strategy is determined by combining the over-limit direction, the reactive power control direction parameter and the reactive power control amount change value.

5. The method according to claim 1, characterized in that Also includes: Obtaining a preset voltage control strategy for the active distribution network; The voltage preset control strategy is fuzzy processed to obtain the voltage control strategy.

6. The method according to claim 3, characterized in that The solution formula for the bidirectional over-limit voltage includes a bidirectional power flow node voltage-power calculation formula; Wherein, when the active distribution network is in a state where the root node radiates and transmits power to each branch node, the voltage-power calculation formula of the bidirectional power flow node is: in, represents the voltage vector of node j in the active distribution network; represents a root node voltage vector in the active distribution network; represents the apparent power transmitted from the root node to the j node; Z 0-j represents the impedance between the root node and the j node; P 0-j represents the active power transmitted from the root node to the j node; Q 0-j represents the reactive power transmitted from the root node to the j node; R 0-j represents the resistance between the root node and the j node; X 0-j represents the reactance between the root node and the j node, and J represents a complex variable; Among them, when the active distribution network is in a state where the root node and the new energy generation end jointly radiate and transmit power to each branch node, the bidirectional power flow node voltage-power calculation formula is: in, Indicates that the j node crosses the lower limit voltage vector; P 0-j,0 represents the active power transmitted from the root node to the j node; P 0-j,new represents the active power generated by the new energy generating end transmitted from the root node to the j node; Q 0-j，0 represents the active power transmitted from the root node to the j node; Q 0-j,new represents the reactive power generated by the new energy generating end transmitted from the root node to the j node, and U0 represents the voltage value of the root node; Wherein, when the active distribution network is in a state where the new energy generation end radiates and transmits power to the root node, the voltage-power calculation formula of the bidirectional power flow node is: in, Indicates that the j node exceeds the upper voltage limit vector.

7. The method according to claim 6, characterized in that The solution formula for the bidirectional over-limit voltage also includes a voltage bidirectional over-limit model calculation formula; When the voltage of the active distribution network exceeds the lower limit, the voltage bidirectional over-limit model calculation formula is: Among them, ΔU j Indicates that the voltage exceeds the lower limit value; U j represents the voltage value of node j in the active distribution network, and U represents the voltage lower limit standard value; When the voltage of the active distribution network exceeds the upper limit, the voltage bidirectional over-limit model calculation formula is: in, Indicates that the voltage exceeds the upper limit value; Indicates the standard value of the voltage upper limit.

8. The method according to claim 7, characterized in that When the voltage of the active power distribution network exceeds the lower limit, the first correlation equation is: Among them, ΔU represents the voltage microvariable; ΔQ new Indicates the reactive power fine-tuning amount of the new energy power generation end; When the voltage of the active power distribution network exceeds the upper limit, the first correlation equation is:

9. The method according to claim 8, characterized in that The voltage fluctuation rate is: and 10. An active distribution network voltage fuzzy parameter correction device, characterized in that: include: A first acquisition module, used to acquire grid parameters of the active power distribution network; A construction module, used for constructing a simulation platform according to the power grid parameters; A correction module, used for correcting preset parameters in a preset voltage fuzzy control algorithm through the simulation platform; A reactive power control module, used for performing reactive power control on the active distribution network according to a corrected voltage fuzzy control algorithm; Among them, the voltage fuzzy control algorithm is determined by the voltage control strategy of the active distribution network, the solution of the bidirectional over-limit voltage, the first correlation between the over-limit direction and the reactive power control direction, and the second correlation between the voltage fluctuation rate and the reactive power control amount. The voltage control strategy is determined by the first correlation and the second correlation.

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