Measurement feedback driven distributed power supply two-stage adaptive voltage control method, system, equipment and medium

Abstract

The invention discloses a measurement feedback driven distributed power supply two-stage adaptive voltage control method, system and device and a medium, and belongs to the technical field of distributed power supply control, and the method comprises the steps: collecting the operation state information of a plurality of nodes in a power distribution system, and constructing a control model representing a voltage response relation based on the operation state information; according to the control model, an optimization objective function containing voltage deviation and power regulation quantity is established, solving is carried out in combination with operation constraints, and a corresponding reactive power regulation strategy is generated; and issuing the reactive power regulation strategy to the distributed power supply, obtaining updated state information after execution, and judging whether to update the control model or not according to a preset condition and repeating the optimization process. According to the method, the conditions that parameters of a power distribution network line containing a high-proportion distributed power supply are unknowable and the output condition of the distributed power supply is uncertain are comprehensively considered, and a reactive power control strategy is dynamically adjusted by utilizing measurement data feedback through the synergistic effect of a cloud integrated controller and a distributed power supply inverter.

Description

Technical Field

[0001] This invention relates to the field of distributed power source control technology, specifically to a two-stage adaptive voltage control method, system, device, and medium for distributed power sources driven by measurement feedback. Background Technology

[0002] With the rapid development of renewable energy, the penetration rate of distributed generation (DG) in distribution networks has significantly increased. Due to the intermittent and uncertain output of DG, the high proportion of DG connected leads to increased voltage fluctuations in the distribution network, and even voltage exceeding limits, posing a serious threat to the safe operation of the distribution network and power quality. DG inverters have the ability to quickly regulate reactive power; by controlling the reactive power of DG, the voltage level of the distribution network can be significantly improved, providing an effective solution to alleviate the aforementioned voltage problems.

[0003] However, existing reactive power control methods for distributed generation mainly rely on precise network parameters of the distribution network, such as line impedance and node load data. In practical applications, these parameters are often difficult to obtain accurately and may change during grid operation, limiting the accuracy and adaptability of control strategies based on precise physical model methods. Furthermore, precise physical model-based methods typically involve complex modeling and calculation processes, making it difficult to meet the real-time control requirements of distribution networks.

[0004] In recent years, the rapid development of measurement and digital technologies has brought new opportunities to the control of distributed generation in power distribution networks. Through widely deployed measurement devices, abundant data such as node voltage and current can be acquired in real time. This data contains rich information about the power grid, laying the foundation for data-driven control methods. This approach can eliminate the dependence on precise network parameters and directly utilize measurement data feedback to formulate and optimize control strategies, significantly improving the robustness and practicality of control.

[0005] Based on the above background, this invention proposes a measurement feedback-driven two-stage adaptive voltage control method for distributed power sources. This method, through the collaborative action of a cloud-based centralized controller and the distributed power source inverter, dynamically adjusts the reactive power control strategy using measurement data feedback. This effectively solves the voltage problem caused by a high proportion of distributed power sources connected, while overcoming the dependence of traditional physical model-driven methods on precise network parameters, thus improving the operation and control level of distribution networks containing a high proportion of distributed power sources. Summary of the Invention

[0006] In view of the above-mentioned problems, the present invention is proposed.

[0007] Therefore, the technical problem solved by this invention is: how to obtain an effective control strategy for the reactive power of distributed generation when the precise physical parameters of the distribution network are unknown.

[0008] To solve the above-mentioned technical problems, the present invention provides the following technical solution: a two-stage adaptive voltage control method for distributed power sources driven by measurement feedback, comprising,

[0009] Collect the operating status information of multiple nodes in the power distribution system, and construct a control model representing the voltage response relationship based on the operating status information;

[0010] Based on the control model, an optimization objective function including voltage deviation and power regulation is established, and solved in combination with operating constraints to generate the corresponding reactive power regulation strategy.

[0011] The reactive power regulation strategy is sent to the distributed power source. After execution, the updated status information is obtained, and the control model is updated and the optimization process is repeated according to the preset conditions to achieve dynamic adaptive control of the node voltage.

[0012] As a preferred embodiment of the two-stage adaptive voltage control method for distributed power sources driven by measurement feedback described in this invention, the control model is constructed based on the response relationship between the reactive power regulation of the distributed power source and the voltage of each node in the distribution network. The response relationship is obtained by sampling the node voltage changes under multiple output levels and estimating the correlation coefficient.

[0013] As a preferred embodiment of the two-stage adaptive voltage control method for distributed power sources driven by measurement feedback described in this invention, the update of the control model is determined by dynamic event triggering conditions, including the current node voltage deviating from the reference value by more than a preset amplitude, or the current voltage change exceeding a historical change threshold.

[0014] As a preferred embodiment of the measurement feedback-driven two-stage adaptive voltage control method for distributed power sources described in this invention, the control model includes a dynamically linearized power flow relationship, which is constructed by fitting a linear mapping between node voltage changes and reactive power changes based on the updated response relationship model.

[0015] As a preferred embodiment of the two-stage adaptive voltage control method for distributed power sources driven by measurement feedback described in this invention, the response relationship model is updated iteratively in a recursive manner, and weighted correction is performed based on the error between the current voltage and the predicted value at the previous moment to reduce drastic fluctuations in the model.

[0016] As a preferred embodiment of the two-stage adaptive voltage control method for distributed power sources driven by measurement feedback described in this invention, the optimization objective function consists of two parts: minimizing voltage deviation and minimizing reactive power adjustment change, which respectively measure the error between the current state and the target state, as well as the degree of disturbance caused by strategy updates.

[0017] As a preferred embodiment of the two-stage adaptive voltage control method for distributed power sources driven by measurement feedback described in this invention, the constraints of the optimization model include that the voltage of each node must be between the set safe operating upper and lower limits.

[0018] The reactive power output of distributed power sources must meet their capacity range and power factor limitations.

[0019] Another objective of this invention is to provide a two-stage adaptive voltage control system for distributed power sources driven by measurement feedback.

[0020] To solve the above technical problems, the present invention provides the following technical solution: a two-stage adaptive voltage control system for distributed power sources driven by measurement feedback, comprising: a status acquisition module for acquiring the operating status information of multiple nodes in the power distribution system;

[0021] The model building module is used to build a control model representing the relationship between node voltage response based on the state information, and supports dynamic model updates;

[0022] The optimization solution module is used to establish an optimization objective function that includes voltage deviation and power regulation based on the control model, and solve the reactive power regulation strategy in combination with operational constraints.

[0023] The strategy distribution module is used to send the reactive power regulation strategy to multiple distributed power sources;

[0024] The control iteration module is used to determine whether to trigger model updates and optimization strategy recalculation based on the updated operating status information, so as to achieve dynamic adaptive control of node voltage.

[0025] The present invention provides a computer device, including a memory and a processor, wherein the memory stores a computer program, characterized in that the processor executes the computer program to implement the steps of the measurement feedback driven distributed power supply two-stage adaptive voltage control method.

[0026] The present invention provides a computer-readable storage medium having a computer program stored thereon, characterized in that, when the computer program is executed by a processor, it implements the steps of the measurement feedback driven distributed power supply two-stage adaptive voltage control method.

[0027] The beneficial effects of this invention are as follows: taking into account the unknown parameters of distribution network lines with a high proportion of distributed power sources and the uncertainty of the output of distributed power sources, the reactive power control strategy is dynamically adjusted by using the synergistic effect of the cloud-based centralized controller and the distributed power source inverter, and by utilizing the feedback of measurement data.

[0028] This two-stage control mechanism first estimates the power flow of the distribution network system based on the feedback of measurement data in the first stage, and then further determines the reactive power control strategy through adaptive optimization in the second stage, thereby effectively dealing with voltage fluctuations and voltage over-limit caused by the high proportion of distributed power sources.

[0029] At the same time, this method overcomes the dependence of traditional physical model-driven methods on precise network parameters and improves the operation and control level of distribution networks with a high proportion of distributed power sources. Attached Figure Description

[0030] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0031] Figure 1 This is a flowchart of a measurement feedback-driven two-stage adaptive voltage control method for distributed power sources provided in one embodiment of the present invention;

[0032] Figure 2 This is an improved IEEE 123-node distribution network structure diagram used in a measurement feedback-driven two-stage adaptive voltage control method for distributed power sources provided in an embodiment of the present invention.

[0033] Figure 3 The image shows the predicted curves of the output and load information of the distributed power source in a measurement feedback-driven two-stage adaptive voltage control method for distributed power sources provided in one embodiment of the present invention.

[0034] Figure 4 This is a comparison chart of the maximum voltage values ​​in different scenarios from 10:00 to 12:00 in a two-stage adaptive voltage control method for distributed power sources driven by measurement feedback provided in an embodiment of the present invention.

[0035] Figure 5 This is a comparison chart of the minimum voltage values ​​in different scenarios from 10:00 to 12:00 in a two-stage adaptive voltage control method for distributed power sources driven by measurement feedback provided in an embodiment of the present invention.

[0036] Figure 6This is a diagram showing the change of the reactive power control strategy of the distributed power source in scenario two from 10:00 to 12:00 in a measurement feedback-driven two-stage adaptive voltage control method for distributed power sources provided in an embodiment of the present invention.

[0037] Figure 7 This is a voltage comparison chart of nodes 1, 2, and 3 in different scenarios from 10:00 to 12:00 in a two-stage adaptive voltage control method for distributed power sources driven by measurement feedback provided in an embodiment of the present invention.

[0038] Figure 8 This is a voltage comparison chart of node 56 in different scenarios from 10:00 to 12:00 in a two-stage adaptive voltage control method for distributed power sources driven by measurement feedback provided in an embodiment of the present invention. Detailed Implementation

[0039] To make the above-mentioned objects, features, and advantages of the present invention more apparent and understandable, specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the protection scope of the present invention.

[0040] Example 1, referring to Figure 1 This is one embodiment of the present invention, which provides a two-stage adaptive voltage control method for distributed power sources driven by measurement feedback, including:

[0041] Collect the operating status information of multiple nodes in the power distribution system, and construct a control model representing the voltage response relationship based on the operating status information;

[0042] Based on the control model, an optimization objective function including voltage deviation and power regulation is established, and solved in combination with operating constraints to generate the corresponding reactive power regulation strategy.

[0043] The reactive power regulation strategy is sent to the distributed power source. After execution, the updated status information is obtained, and the control model is updated and the optimization process is repeated according to the preset conditions to achieve dynamic adaptive control of the node voltage.

[0044] It should be noted that traditional physical model-driven methods, such as the distribution network branch power flow method, require obtaining the resistance and reactance parameters of the distribution network branches and the active and reactive load parameters of the nodes. Then, using these parameters, an objective function is established with the goal of minimizing voltage deviation, and system power flow constraints, system operation constraints, and other constraints are established to complete the construction of the physical model. Finally, commercial solvers, such as CPLEX and GUROBI, are used to solve for the control strategy.

[0045] Example 2, an embodiment of the present invention, provides a two-stage adaptive voltage control method for distributed power sources driven by measurement feedback, based on the previous embodiment, including:

[0046] Step 1) For a given active distribution network with a high proportion of distributed generation, deploy a centralized controller in the cloud to formulate reactive power control strategies for distributed generation; input the parameter information of the centralized controller, specifically including: the connection location of measuring devices in the distribution network, the connection location and capacity of distributed generation, and the node voltage reference vector U. r The sampling frequency f and the total control duration T; the centralized controller starts timing at the moment control is initiated, denoted as t=0;

[0047] Step 2) Adjust the reactive power output of the distributed power source sequentially, and sample the node voltage at each output level to obtain the measurement data feedback of each node voltage; calculate the node voltage-reactive power correlation coefficient based on the voltage measurement data feedback.

[0048] Step 3) Based on the node voltage-reactive power correlation coefficients obtained in Step 2), initialize the reactive power control mapping matrix; where:

[0049] In a preferred embodiment of the present invention, the method for initializing the reactive power control mapping matrix is ​​as follows:

[0050]

[0051] in, In the formula, t represents the time of distribution network operation control; Δt represents the time interval of distribution network operation control; i represents the index of the node number; s represents the index of the distributed generation number; Ω[t] represents the reactive power control mapping matrix at time t; ω i,s [t] is the element in the i-th row and s-th column of Ω[t], representing the voltage-reactive correlation coefficient of the voltage of node i at time t with respect to the reactive power control strategy of distributed power source s; It is a set of measurement nodes.

[0052] In an optional embodiment of the present invention, the distribution network can be modeled based on the distribution network branch power flow method, using line resistance and reactance and node active and reactive load parameters to establish the coupling relationship between distribution network voltage and current. Traditional methods for establishing distribution network models suffer from nonlinearity, model complexity, difficulty in solving, and dependence on precise physical parameters.

[0053] The advantages of this preferred technical solution are that the method utilizes only measurement data and does not rely on any physical parameters, thus possessing better practicality. Furthermore, the method of this invention establishes a linear relationship between node voltage and reactive power by calculating the reactive power control mapping matrix, reducing model complexity and facilitating solution.

[0054] Step 4) The measuring devices of the distribution network sample the voltage of each measuring node, and the centralized controller constructs dynamic event triggering conditions based on the voltage measurement data feedback; if the current voltage measurement data feedback meets the dynamic event triggering conditions, proceed to the next step; otherwise, repeat step 4); where:

[0055] In a preferred embodiment of the present invention, the dynamic event triggering conditions based on voltage measurement data feedback are as follows:

[0056] (max|U[t]-U r [t]|>ξ1U[t]+δ1)∨(max(|U[t]-U[t-Δt]|>ξ2U[t]+δ2))

[0057] In the formula, U[t] and U[t-Δt] represent the voltage measurement data feedback of all measurement nodes at time t and time t-Δt, respectively; U r [t] represents the voltage reference vector at time t; ξ1 and ξ2 are the triggering coefficients of the dynamic event triggering condition; δ1 and δ2 are the triggering thresholds of the dynamic event triggering condition.

[0058] It should be noted that the coefficients and thresholds are empirical values, and the following ranges are given: ξ1 and ξ2 range from 0 to 0.02 (inclusive); δ1 and δ2 range from 0 to 0.05 (inclusive).

[0059] In one optional embodiment of the present invention, control can be performed once at fixed intervals without considering the setting of triggering conditions, and the number of control cycles cannot be flexibly adjusted according to changes in the operating status of the power distribution network.

[0060] The beneficial effect of this preferred technical solution is that by setting dynamic event triggering conditions, the timing of real-time control can be adaptively determined, and control is only performed when the triggering conditions are met, thereby reducing the number of actions of the control equipment and reducing excessive intervention in the power distribution network.

[0061] In a preferred embodiment of the present invention, if the above-mentioned dynamic event triggering conditions are not met, the distributed power source adopts the reactive power control strategy of the previous moment and continues to sample the voltage of the measurement node until the measurement data feedback meets the dynamic event triggering conditions; the reactive power control strategy update method of the distributed power source when the dynamic event triggering conditions are not met is as follows:

[0062] Q[t+Δt]=Q[t]

[0063] (max|U[t]-U r [t]|≤ξ1U[t]+δ1)∧(max(|U[t]-U[t-Δt]|≤ξ2U[t]+δ2))

[0064] In the formula, Q[t+Δt] and Q[t] represent the reactive power control strategies of the distributed power source at time t+Δt and time t, respectively.

[0065] Traditional methods do not consider setting trigger conditions. They control the network at fixed intervals and cannot flexibly adjust the number of controls according to changes in the operating status of the distribution network.

[0066] The beneficial effect of this preferred technical solution is that by setting dynamic event triggering conditions, the timing of real-time control can be adaptively determined, and control is only performed when the triggering conditions are met, thereby reducing the number of actions of the control equipment and reducing excessive intervention in the power distribution network.

[0067] Step 5) Based on the node voltage measurement data feedback obtained in Step 4), update the reactive power control mapping matrix; based on the updated reactive power control mapping matrix, construct a measurement feedback-driven dynamic linearized power flow for the distribution network; Step 5) constitutes the first stage of the measurement feedback-driven two-stage adaptive voltage control method for distributed generation; wherein:

[0068] The general form of dynamic linearized power flow in a distribution network based on a reactive power control mapping matrix is ​​as follows:

[0069] ΔU[t+Δt]=Ω[t]ΔQ[t]

[0070] In the formula, ΔU[t+Δt]=U[t+Δt]-U[t] represents the change in node voltage measurement data feedback during the time period from t to t+Δt; ΔQ(t)=Q[t]-Q[t-Δt] represents the change in the reactive power control strategy of distributed power sources.

[0071] The centralized controller uses measurement data feedback to estimate the reactive power control mapping matrix Ω[t]. The estimation criterion function is as follows:

[0072]

[0073] In the formula, Ω[t] represents the reactive power control mapping matrix at time t; This represents the estimated value of the reactive power control mapping matrix at time t-Δt; α>0 is a weighting coefficient used to penalize excessive changes in the reactive power control mapping matrix.

[0074] Substituting the general expression of the dynamic linearized power flow of the distribution network into the estimation criterion function, taking the derivative of Ω[t] and setting it equal to zero simplifies the inversion process, and yields the iterative update formula for the reactive power control mapping matrix as follows:

[0075]

[0076] In the formula, and These are the estimates of Ω[t] and Ω[t-Δt], respectively; β∈(0,2] is the step size factor.

[0077] Estimated value based on reactive power control mapping matrix The approximate form of the dynamic linearized power flow of the distribution network is obtained as follows:

[0078]

[0079] In the formula, This represents the estimated value of the node voltage measurement data feedback U[t+Δt] at time t+Δt.

[0080] Step 6) Based on the dynamic linearized power flow of the distribution network obtained in Step 5), the centralized controller aims to minimize the overall voltage deviation at measurement nodes and the reactive power output variation of distributed generation sources. Considering power flow constraints, node voltage safety constraints, and distributed generation safety operation constraints, a measurement feedback-driven reactive power control model for distributed generation sources is established; where:

[0081] The objective function of the measurement feedback-driven distributed power reactive power control model is:

[0082]

[0083] In the formula, γ is a weighting coefficient used to penalize excessive changes in the reactive power control strategy of distributed power sources, and γ is greater than 0.

[0084] Based on the dynamic linearized power flow of the distribution network obtained in step 5), it is used as the power flow constraint of the distribution network system driven by measurement feedback; based on the dynamic linearized power flow of the distribution network, the node voltage security constraints driven by measurement feedback are obtained as follows:

[0085]

[0086] In the formula, U [t+Δt] and These represent the lower and upper limits of the node voltage for safe operation of the distribution network at time t+Δt, respectively.

[0087] The safety operation constraints for distributed generation driven by measurement feedback in the distribution network are as follows:

[0088] |Q[t]|≤P[t]tanθ

[0089] |Q[t]| 2 ≤|S[t]| 2 -|P[t]| 2

[0090] Where, θ is the maximum power factor angle of the photovoltaic output power, and the minimum power factor is set to 0.95; P[t] is the active power output of the distributed power source at time k; S[t] is the capacity of the distributed power source at time k, which is generally a fixed value.

[0091] Step 7) The centralized controller optimally solves the model in step 6) to obtain the reactive power control strategy of the distributed power source, sends the reactive power control strategy to the inverter of the distributed power source, and then obtains the new node voltage measurement data feedback; steps 6) and 7) constitute the second stage of the measurement feedback-driven two-stage adaptive voltage control method for distributed power sources.

[0092] Step 8) Obtain the current control duration t = t k and determine whether the current control duration t k is greater than the total control duration T. If t k < T, then go to step 4); otherwise, end.

[0093] Example 3, referring to Figure 2 and Figure 8 is an embodiment of the present invention, which provides a measurement feedback-driven two-stage adaptive voltage control method for distributed power sources. In order to verify the beneficial effects of the present invention, scientific demonstration is carried out through experiments.

[0094] For the embodiment of the present invention, 12 groups of distributed power sources are connected to the improved IEEE 123-node distribution network. Among them, the single installed capacity of the wind turbines at nodes 25, 35, and 46 is 600 kW, the single installed capacity of the wind turbines at nodes 15, 61, and 68 is 800 kW, the single installed capacity of the photovoltaic units at nodes 80, 88, 98, and 105 is 1000 kWp, and the single installed capacity of the photovoltaic units at nodes 114 and 121 is 1200 kWp. The system voltage level is 4.16 kV, and the active and reactive power loads of the system are 3490 kW and 1920 kvar respectively. The measurement devices are deployed at all nodes of the distribution network, the sampling frequency, and the total control duration = 2 h; the voltage reference value of the distribution network is set to 1.0 p.u. The measurement feedback-driven two-stage adaptive voltage control method for distributed power sources is used for control. Through the above steps, the reactive power control strategy of the distributed power source can be obtained. To verify the effectiveness of this method, the following three control scenarios are used for comparison for the improved IEEE 123-node distribution network:

[0095] Scenario 1: Do not control the reactive power of the distributed power source to obtain the initial operating state of the distribution network;

[0096] Scenario 2: Adopt the measurement feedback-driven two-stage adaptive voltage control method for distributed power sources;

[0097] Scenario 3: Adopt the reactive power control method for distributed power sources driven by a physical model.

[0098] The computer hardware environment for performing the optimized calculations was an Intel(R) Core(TM) CPU i5-13500HX with a clock speed of 2.5GHz and 16GB of memory; the software environment was a Windows 11 operating system.

[0099] The improved IEEE 123-node distribution network structure used in this embodiment of the invention is as follows: Figure 2 As shown in the figure. The predicted curves for distributed power generation output and load information are as follows. Figure 3 As shown. Comparison of maximum voltage values ​​in different scenarios from 10:00 to 12:00. Figure 4 As shown in the figure. A comparison chart of minimum voltage values ​​in different scenarios from 10:00 to 12:00 is shown below. Figure 5 As shown.

[0100] Scenario 2 Distributed Power Reactive Power Control Strategy (10:00-12:00) Figure 6 As shown. Voltage comparison of nodes 1, 2, and 3 in different scenarios from 10:00 to 12:00. Figure 7 As shown. Voltage comparison of 56 nodes in different scenarios from 10:00 to 12:00. Figure 8 As shown.

[0101] Depend on Figure 4 It can be seen that, compared to Scenario 1 where no reactive power control is implemented for distributed generation, the two-stage adaptive voltage control method for distributed generation driven by measurement feedback in Scenario 2 can effectively reduce the maximum voltage and avoid voltage exceedances caused by a high proportion of distributed generation connected to the distribution network. Compared to the reactive power control method for distributed generation driven by the physical model in Scenario 3, the voltage control effect of the method described in Scenario 2 is slightly worse than that of the physical model-driven method. This is because the model driven by measurement feedback lacks necessary distribution network parameters and effective information. However, in actual distribution networks, precise physical parameters are often unknown. Therefore, the control result in Scenario 3 is only theoretically optimal and difficult to achieve in practical applications.

[0102] Depend on Figure 6 It can be seen that the two-stage adaptive voltage control method of distributed power source driven by measurement feedback in Scenario 2 can adaptively adjust the reactive power output of distributed power source to quickly respond to source-load fluctuations in the distribution network.

[0103] Depend on Figure 7 It can be seen that, compared to the scenario where no reactive power control is implemented for distributed power sources in scenario one, the two-stage adaptive voltage control method for distributed power sources driven by measurement feedback in scenario two can effectively reduce voltage fluctuations at nodes.

[0104] Example 4 is an embodiment of the present invention, which provides a measurement feedback-driven two-stage adaptive voltage control system for distributed power sources, including:

[0105] The status acquisition module is used to acquire the operating status information of multiple nodes in the power distribution system;

[0106] The model building module is used to build a control model representing the relationship between node voltage response based on the state information, and supports dynamic model updates;

[0107] The optimization solution module is used to establish an optimization objective function that includes voltage deviation and power regulation based on the control model, and solve the reactive power regulation strategy in combination with operational constraints.

[0108] The strategy distribution module is used to send the reactive power regulation strategy to multiple distributed power sources;

[0109] The control iteration module is used to determine whether to trigger model updates and optimization strategy recalculation based on the updated operating status information, so as to achieve dynamic adaptive control of node voltage.

[0110] This embodiment also provides an electronic device applicable to the two-stage adaptive voltage control method for a distributed power source driven by measurement feedback, comprising: a memory and a processor; the memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions to implement the two-stage adaptive voltage control method for a distributed power source driven by measurement feedback as proposed in the above embodiment.

[0111] This embodiment also provides a storage medium storing a computer program that, when executed by a processor, implements the measurement feedback-driven two-stage adaptive voltage control method for distributed power sources as proposed in the above embodiments.

[0112] The storage medium proposed in this embodiment and the two-stage adaptive voltage control method for distributed power supply driven by measurement feedback proposed in the above embodiments belong to the same inventive concept. Technical details not described in detail in this embodiment can be found in the above embodiments, and this embodiment has the same beneficial effects as the above embodiments.

[0113] Based on the above description of the implementation methods, those skilled in the art can clearly understand that the present invention can be implemented using software and necessary general-purpose hardware, and of course, it can also be implemented using hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as a computer floppy disk, read-only memory (ROM), random access memory (RAM), flash memory, hard disk, or optical disk, etc., including several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods of the various embodiments of the present invention.

[0114] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A two-stage adaptive voltage control method for distributed power sources driven by measurement feedback, characterized in that: include, Collect operating status information of multiple nodes in the power distribution system, and construct a control model representing the voltage response relationship based on the operating status information; Based on the control model, an optimization objective function including voltage deviation and power regulation is established, and solved in combination with operating constraints to generate the corresponding reactive power regulation strategy. The reactive power regulation strategy is sent to the distributed power source. After execution, the updated status information is obtained, and the control model is updated and the optimization process is repeated according to the preset conditions to achieve dynamic adaptive control of the node voltage.

2. The two-stage adaptive voltage control method for distributed power sources driven by measurement feedback as described in claim 1, characterized in that: The control model is constructed based on the reactive power regulation of distributed generation and the response relationship of voltage at each node in the distribution network. The response relationship is obtained by sampling the node voltage changes under multiple output levels and estimating the correlation coefficient.

3. The two-stage adaptive voltage control method for distributed power sources driven by measurement feedback as described in claim 2, characterized in that: The update of the control model is determined by dynamic event triggering conditions, including the current node voltage deviating from the reference value by more than a preset range, or the current voltage change exceeding the historical change threshold.

4. The measurement feedback-driven two-stage adaptive voltage control method for distributed power sources as described in claim 3, characterized in that: The control model includes a dynamically linearized power flow relationship, which is constructed by fitting a linear mapping between node voltage changes and reactive power changes based on the updated response relationship model.

5. The two-stage adaptive voltage control method for distributed power sources driven by measurement feedback as described in claim 4, characterized in that: The response relationship model is updated iteratively using a recursive method, and is weighted and corrected based on the error between the current voltage and the predicted value at the previous moment, in order to reduce drastic fluctuations in the model.

6. The two-stage adaptive voltage control method for distributed power sources driven by measurement feedback as described in claim 4, characterized in that: The optimization objective function consists of two parts: minimizing voltage deviation and minimizing reactive power adjustment change. These measures the error between the current state and the target state, as well as the degree of disturbance caused by the strategy update.

7. The two-stage adaptive voltage control method for distributed power sources driven by measurement feedback as described in claim 4, characterized in that: The constraints of the optimization model include that the voltage of each node must be between the set safe operating upper and lower limits; The reactive power output of distributed power sources must meet their capacity range and power factor limitations.

8. A measurement feedback-driven two-stage adaptive voltage control system for distributed power sources, employing the measurement feedback-driven two-stage adaptive voltage control method for distributed power sources as described in any one of claims 1 to 7, characterized in that, include: The status acquisition module is used to acquire the operating status information of multiple nodes in the power distribution system; The model building module is used to build a control model representing the relationship between node voltage response based on the state information, and supports dynamic model updates; The optimization solution module is used to establish an optimization objective function that includes voltage deviation and power regulation based on the control model, and solve the reactive power regulation strategy in combination with operating constraints. The strategy distribution module is used to send the reactive power regulation strategy to multiple distributed power sources; The control iteration module is used to determine whether to trigger model updates and optimization strategy recalculation based on the updated operating status information, so as to achieve dynamic adaptive control of node voltage.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the measurement feedback-driven two-stage adaptive voltage control method for distributed power sources according to any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the measurement feedback-driven two-stage adaptive voltage control method for distributed power sources according to any one of claims 1 to 7.

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