A power distribution network voltage support evaluation method, system, device and medium based on generalized regulation resources

Abstract

The application discloses a power distribution network voltage support evaluation method, system, device and medium based on generalized regulation resources, comprising: performing first power flow calculation based on power distribution network operation state data, locating voltage insufficient nodes and quantifying total reactive power gap; using a first optimization algorithm to optimize and solve the reactive power output of each generalized regulation resource, generating an optimal reactive power configuration scheme; performing secondary power flow calculation based on the reactive power output of the optimal reactive power configuration scheme, verifying and obtaining the optimized steady-state voltage of each node; and outputting a final voltage regulation scheme according to the optimized steady-state voltage of each node. The application constructs a closed loop process of twice power flow calculation + algorithm optimization, accurately locates the gap, and ensures the feasibility of the scheme and the integrity of voltage recovery; the particle swarm optimization algorithm is used to optimize the reactive power configuration, fully plays the global optimization advantage, quickly finds the optimal scheme meeting the voltage requirements of multiple nodes, and improves the regulation accuracy and efficiency.

Description

Technical Field

[0001] This invention relates to the field of voltage regulation and resource optimization technology in power system distribution networks, and in particular to a method, system, equipment and medium for evaluating voltage support in distribution networks based on generalized regulation resources. Background Technology

[0002] In low- and medium-voltage distribution networks with high penetration of renewable energy, the intermittency and volatility of distributed power sources frequently lead to insufficient voltage at multiple nodes, seriously threatening the power supply reliability and power quality of the distribution network. Traditional voltage regulation methods in distribution networks include switching of parallel capacitors and regulation by on-load tap-changing transformers. These methods mainly rely on centralized equipment and fixed strategies, which are often unable to adapt to the rapid changes in the grid's operating status after the integration of renewable energy, resulting in insufficient regulation flexibility and response speed. Moreover, various broad regulation resources with reactive power regulation capabilities have emerged in the distribution network. If the characteristics of these broad regulation resources can be effectively utilized in a coordinated manner, new regulation potential can be provided for voltage support.

[0003] However, a systematic and collaborative optimization method for reactive power control of generalized regulating resources is still lacking. Existing technologies often use empirical allocation or simple rules to regulate reactive power of generalized regulating resources, failing to fully consider the capacity constraints, response characteristics, and actual impact of various resources on the power grid. This leads to limited regulation effects and may even cause new operational problems. Furthermore, existing methods typically lack a complete closed-loop process, failing to meet the urgent need for precise and reliable voltage control in distribution networks with a high proportion of renewable energy. Therefore, a distribution network voltage support assessment method based on generalized regulating resources is urgently needed to achieve precise optimization and reliable control of voltage insufficiency problems. Summary of the Invention

[0004] In view of the aforementioned existing problems, the present invention is proposed.

[0005] Therefore, this invention provides a method, system, equipment, and medium for evaluating the voltage support of distribution networks based on generalized regulatory resources, which solves the problems of insufficient reactive power allocation optimization, low regulation accuracy, and insufficient consideration of resource constraints in the prior art.

[0006] To solve the above-mentioned technical problems, the present invention provides the following technical solution: In a first aspect, the present invention provides a method for evaluating the voltage support of a distribution network based on generalized regulatory resources, comprising: Collect data on the operating status of the power distribution network; Based on the power distribution network operation status data, perform the first power flow calculation to locate the voltage-insufficient nodes and quantify the total reactive power deficit; Based on the total reactive power deficit, the first optimization algorithm is used to optimize the reactive power output of each generalized regulation resource to generate the optimal reactive power configuration scheme. A secondary power flow calculation is performed based on the reactive power output of the optimal reactive power configuration scheme to verify and obtain the optimized steady-state voltage of each node. Based on the optimized steady-state voltage of each node, the final voltage regulation scheme is output.

[0007] As a preferred embodiment of the distribution network voltage support assessment method based on generalized regulation resources described in this invention, the initial power flow calculation includes: Based on the distribution network line parameters, voltage and current data of each node, and load data, construct the node admittance matrix; Set the initial voltage distribution, where the voltage of the balancing node is set to the rated value, and the initial voltage of the other nodes is set to the per-unit value; Based on the node admittance matrix and the initial voltage distribution, the node power imbalance is iteratively solved, the Jacobian matrix is ​​constructed, and the voltage correction is calculated. The voltage of each node is updated sequentially until the power imbalance of the node converges to the set accuracy, thus obtaining the steady-state voltage of each node.

[0008] As a preferred embodiment of the distribution network voltage support assessment method based on generalized regulation resources described in this invention, the step of locating nodes with voltages below a set threshold and quantifying the total reactive power deficit includes: Nodes whose steady-state voltage is lower than a first set threshold are selected as nodes with insufficient voltage. The reactive power requirement of the voltage-deficient node is calculated based on the voltage deviation and equivalent load impedance. The total reactive power deficit of the distribution network is obtained by summing up the reactive power demand of all nodes with insufficient voltage.

[0009] As a preferred embodiment of the distribution network voltage support assessment method based on generalized regulation resources described in this invention, the generation of the optimal reactive power configuration scheme includes: The reactive power output of each generalized regulation resource is used as an optimization variable to form a multidimensional particle vector; A fitness function is constructed, with the optimization objectives being the highest voltage compliance rate and reactive power output not exceeding resource margin. Initialize the particle swarm optimization algorithm parameters, iteratively update particle positions and velocities, track individual optima and global optima until convergence conditions are met, and output the optimal reactive power configuration scheme.

[0010] The beneficial effects of this preferred technical solution are: it fully leverages its global optimization advantage to quickly find the optimal solution that meets the voltage requirements of multiple nodes, thereby improving the control accuracy and efficiency.

[0011] As a preferred embodiment of the distribution network voltage support assessment method based on generalized regulation resources described in this invention, the step of performing secondary power flow calculation includes: Distribute the reactive power output of each resource in the optimal reactive power configuration scheme to nodes, and update the reactive power injection of each node. Using the convergence voltage of the first power flow calculation as the initial value, the Newton-Raphson method is used again for power flow iteration; Recalculate the node power imbalance and update the Jacobian matrix. Iterate until convergence to obtain the optimized steady-state voltage of each node.

[0012] The beneficial effects of this preferred technical solution are: it integrates diverse and broadly defined regulation resources, broadens the sources of voltage regulation resources, and adapts to the operation requirements of distribution networks with high penetration rates of new energy.

[0013] As a preferred embodiment of the distribution network voltage support assessment method based on generalized regulation resources described in this invention, the step of outputting the final voltage regulation scheme based on the optimized steady-state voltage of each node includes: Determine whether the optimized steady-state voltage of each node is within the first set range; If the optimized steady-state voltage of all nodes is within the first set range, then the reactive power output and calling sequence of each generalized regulation resource are output as the final calling scheme. If the optimized steady-state voltage of some nodes is not within the first set range, the reactive power requirement of the nodes is calculated, and the gap information and control suggestions are output.

[0014] As a preferred embodiment of the distribution network voltage support assessment method based on generalized regulation resources described in this invention, the distribution network operation status data includes distribution network line parameters, voltage, current and load data of each node, and real-time operation data of each generalized regulation resource. The real-time operation data includes rated reactive power capacity, available reactive power margin, output characteristic curve and operation status.

[0015] Secondly, the present invention provides a distribution network voltage support assessment system based on generalized regulation resources, comprising: The data acquisition module is used to collect data on the operating status of the power distribution network. The initial power flow calculation module is used to perform the initial power flow calculation based on the power distribution network operation status data, locate the voltage-deficient nodes and quantify the total reactive power deficit; The optimization solution module is used to optimize the reactive power output of each generalized regulation resource based on the total reactive power deficit and using the first optimization algorithm to generate the optimal reactive power configuration scheme. The secondary power flow calculation module is used to perform secondary power flow calculations based on the reactive power output of the optimal reactive power configuration scheme, and to verify and obtain the optimized steady-state voltage of each node. The decision execution module is used to output the final voltage regulation scheme based on the optimized steady-state voltage of each node.

[0016] Thirdly, the present invention provides an electronic device, including a memory and a processor; the memory is used to store computer-executable instructions, and the processor executes the computer-executable instructions to implement the steps of a distribution network voltage support assessment method based on generalized regulatory resources.

[0017] Fourthly, the present invention provides a computer-readable storage medium storing computer-executable instructions that, when executed by a processor, implement the steps of a distribution network voltage support assessment method based on generalized regulatory resources.

[0018] Compared with existing technologies, the beneficial effects of this invention are as follows: This invention locates nodes with insufficient voltage and quantifies the total reactive power gap through initial power flow calculation. Utilizing the particle swarm optimization algorithm (PSO) under the capacity and operational constraints of generalized regulation resources, it optimizes the reactive power output of each resource. Then, a secondary power flow calculation verifies the voltage recovery effect, generating a resource allocation scheme that meets the requirements, or identifying nodes that fail to meet standards and their supplementary needs, thus achieving precise and efficient voltage recovery in the distribution network. This invention constructs a closed-loop process of two power flow calculations + algorithm optimization, accurately locating the gap and ensuring the feasibility of the scheme and the integrity of voltage recovery. The PSO algorithm optimizes reactive power allocation, fully leveraging its global optimization advantage to quickly find the optimal scheme that meets the voltage requirements of multiple nodes, improving regulation accuracy and efficiency. Furthermore, this invention strictly considers the reactive power constraints of generalized regulation resources, avoiding the impact of improper allocation on the resource's own operational function. This invention integrates diverse generalized regulation resources, broadening the resource sources for voltage regulation, adapting to the operational needs of distribution networks with high penetration rates of new energy sources, and improving power supply reliability. Attached Figure Description

[0019] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the following description of the embodiments will be briefly introduced. Obviously, the 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.

[0020] Figure 1 This is a schematic diagram of the overall process logic of a distribution network voltage support assessment method based on generalized regulation resources, provided as an embodiment of the present invention.

[0021] Figure 2This is a comparison diagram before and after voltage optimization of a distribution network voltage support assessment method based on generalized regulation resources, provided in an embodiment of the present invention.

[0022] Figure 3 This is a schematic diagram illustrating the convergence process of a distribution network voltage support assessment method based on generalized regulatory resources, provided in an embodiment of the present invention. Detailed Implementation

[0023] 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.

[0024] Example 1, referring to Figure 1 As one embodiment of the present invention, a method for evaluating the voltage support of a distribution network based on generalized regulatory resources is provided, such as... Figure 1 The specific steps shown are as follows: S100: Collects data on the operating status of the power distribution network.

[0025] In this embodiment of the invention, the power distribution network operation status data includes power distribution network line parameters, voltage, current and load data of each node, and real-time operation data of each generalized regulation resource. The real-time operation data includes rated reactive power capacity, available reactive power margin, output characteristic curve and operation status.

[0026] In this embodiment of the invention, the 3σ criterion is used to remove abnormal data from the collected power distribution network operation status data to ensure data accuracy; and the reactive power constraints of various resources are clearly defined. in, For the first j The reactive power output of this type of resource. For the first j Available reactive power margin for similar resources.

[0027] S200: Performs the first power flow calculation based on the distribution network operation status data, locates the nodes with insufficient voltage and quantifies the total reactive power gap.

[0028] In this embodiment of the invention, the core of the initial power flow calculation is to solve the steady-state voltage of each node in the distribution network. The execution of the initial power flow calculation includes the following sub-steps A1 to A4: In A1: Construct the node admittance matrix based on the distribution network line parameters, voltage and current of each node, and load data; Specifically, the input distribution network line parameters include the total number of nodes. Line segment impedance ,in, Represents a node and The resistance between them Represents a node and The reactance between them; the input node type and load data include the total active load of the load node. Total reactive load and the voltage amplitude of the slack node Reference phase Input the initial state of the generalized adjustment resources. At this point, reactive power injection is not considered; only active power output is taken into account. .

[0029] Specifically, based on the distribution network line parameters, voltage and current data of each node, and load data, a node admittance matrix is ​​constructed. The diagonal elements of the node admittance matrix are... (Self-admittance) is for all nodes The sum of the admittances of connected branches, and the off-diagonal elements. (Mutual admittance) as a node and The negative value of the branch admittance is expressed by the formula: in, For nodes Earth-to-ground admittance.

[0030] In A2: Set the initial voltage distribution, where the voltage of the balancing node is set to the rated value, and the initial voltage of the other nodes is set to the per-unit value; Specifically, the voltage at the balancing node is set to the rated value, i.e. , This is the rated voltage.

[0031] Specifically, the initial voltage of the remaining nodes is set to a per-unit value, i.e. The per-unit value is usually taken as 1.0∠0°.

[0032] In A3: Based on the node admittance matrix and the initial voltage distribution, the node power imbalance is solved iteratively, the Jacobian matrix is ​​constructed and the voltage correction is calculated; Specifically, for each PQ node Calculate the injected active power under the current voltage. Injecting reactive power , with actual injected power , The difference is the imbalance, expressed by the formula: in, For the number of iterations, This represents the complex voltage phasor of node i at the k-th iteration. for The conjugate of complex numbers, This represents the complex voltage phasor of node j at the k-th iteration. Indicates the first k The active power imbalance at node i in the next iteration. = For nodes The actual active power injected. For the power source to generate active power, Represents the node at the k-th iteration. i The reactive power imbalance, For nodes The actual reactive power injected initially .

[0033] Furthermore, construct the Jacobian matrix. The Jacobian matrix has dimensions of The balance nodes are not included, and the elements are calculated as follows: Diagonal elements: Non-diagonal elements: Furthermore, the phase correction is solved using a system of linear equations. and amplitude correction amount : in, , .

[0034] In A4: Update the voltage of each node one by one until the node power imbalance converges to the set accuracy to obtain the steady-state voltage of each node; Specifically, the voltage of each node is updated sequentially, as expressed by the formula: Specifically, if the power imbalance of all nodes satisfies and , This indicates the convergence accuracy, usually taken as... MW / Mvar, iteration terminates, output the final voltage of each node. Otherwise, return to the step of calculating the node power imbalance and continue iterating.

[0035] In an optional embodiment, the initial power flow calculation step can also employ a forward-backward substitution method, which calculates the power distribution by substituting backward from the end node to the beginning node, and then calculates the voltage distribution by pushing forward from the beginning node to the end node, iterating in a loop until convergence.

[0036] In an alternative embodiment, the initial power flow calculation step can also employ the Gauss-Seidel method, which involves solving the voltage equation for each node sequentially and iteratively updating the voltage of all nodes in the network.

[0037] In this embodiment of the invention, the step of locating nodes with voltages below a set threshold and quantifying the total reactive power deficit includes the following sub-steps B1 to B3: In B1: Nodes whose steady-state voltage is lower than the first set threshold are selected as nodes with insufficient voltage; Specifically, the first set threshold is a specific voltage limit for determining whether a distribution network node is in a state of insufficient voltage. It is usually set according to power grid operation standards and safety specifications. In this embodiment, it can be set to 95% of the rated voltage. When the steady-state voltage of a node is lower than the first set threshold, it is considered that the node has a voltage insufficient problem and needs to be included in the target node set for subsequent reactive power regulation.

[0038] In B2: The reactive power demand of the undervoltage node is calculated based on the voltage deviation and the equivalent load impedance; Specifically, based on node voltage deviation and equivalent load impedance The reactive power demand at nodes with insufficient voltage is calculated using the following formula: in, For nodes Apparent load capacity Represents a node The equivalent load resistance, Represents a node The equivalent load reactance.

[0039] In B3: By summing up the reactive power demand of all nodes with insufficient voltage, the total reactive power deficit of the distribution network is obtained, expressed by the formula: In an optional embodiment, the step of quantifying the total reactive power deficit can also employ sensitivity analysis, which involves establishing a sensitivity matrix of node voltage to reactive power injection and directly estimating the overall reactive power demand of the system by combining the voltage deviation.

[0040] In an optional embodiment, the step of quantifying the total reactive power deficit can also employ an equivalent load aggregation method, which equates the load in the voltage-deficient area to one or more virtual load nodes, and estimates the total reactive power demand of the area based on the overall voltage level and equivalent impedance of the area.

[0041] It should be noted that the above step S200 can objectively assess the current voltage weaknesses and reactive power demand of the distribution network, providing clear control targets and quantitative basis for subsequent resource optimization and allocation, avoiding the subjectivity and inaccuracy of traditional experience-based judgment, and achieving refined diagnosis of voltage problems.

[0042] S300: Based on the total reactive power deficit, the first optimization algorithm is used to optimize the reactive power output of each generalized regulation resource and generate the optimal reactive power configuration scheme.

[0043] In this embodiment of the invention, the first optimization algorithm is a particle swarm optimization algorithm. The first optimization algorithm is used to optimize the reactive power output of each generalized regulation resource to generate the optimal reactive power configuration scheme, including the following sub-steps C1~C3: In C1: The reactive power output of each generalized regulation resource is used as the optimization variable to form a multidimensional particle vector; Specifically, the reactive power output of wind power, photovoltaic power, energy storage, electric vehicles, and hydropower. As optimization variables, construct multidimensional particle vectors. Each particle represents a set of reactive power configuration schemes.

[0044] In C2: Construct a fitness function, where the fitness function takes the highest voltage compliance rate and reactive power output not exceeding the resource margin as the optimization objectives; Specifically, the fitness function F is expressed as follows: in, , These are the weighting coefficients, and , To optimize the first Node voltage, The total number of nodes. For the first Reactive power output of resource class.

[0045] In C3: Initialize the particle swarm algorithm parameters, iteratively update the particle position and velocity, track the individual optimal and the global optimal until the convergence condition is met, and output the optimal reactive power configuration scheme. Specifically, the initialization parameters for the particle swarm optimization algorithm include: population size set to 50-100, maximum number of iterations set to 100, and inertia weight. The initial value is 0.9, which decreases linearly to 0.4 during iteration, representing a local acceleration factor. Global speedup coefficient Convergence accuracy threshold ; Specifically, particles track individual optimal solutions. and the global optimal solution The formula for updating position and velocity is as follows: Specifically, the optimal reactive power configuration scheme is obtained by iterating until the maximum number of iterations or when the fitness function converges.

[0046] In an optional embodiment, the first optimization algorithm may also employ a genetic algorithm, which, by simulating natural selection and genetic mechanisms, encodes, selects, crosses over, and mutates reactive power allocation schemes to gradually evolve an optimized solution that satisfies voltage recovery and resource constraints.

[0047] In an optional embodiment, the first optimization algorithm may also employ the interior-point method to construct the reactive power optimization problem as a constrained nonlinear programming model, and to find the optimal solution within the feasible region by introducing a barrier function.

[0048] It should be noted that step S300 above utilizes the particle swarm optimization algorithm to solve for the optimal reactive power output combination of various generalized regulation resources, taking into account multiple constraints such as reactive power margin and output characteristics of various resources, with the goal of achieving optimal voltage recovery. This fully leverages the global optimization capability of intelligent optimization algorithms, enabling the rapid generation of feasible and efficient reactive power configuration schemes under complex constraints, significantly improving the utilization efficiency of reactive power resources and the accuracy of coordinated control.

[0049] S400: Performs secondary power flow calculations based on the reactive power output of the optimal reactive power configuration scheme, verifies and obtains the optimized steady-state voltage of each node.

[0050] In this embodiment of the invention, the core of the secondary power flow calculation is to verify the reactive power configuration scheme optimized by the particle swarm optimization algorithm and to calculate the voltage of each node after reactive power injection. The specific steps for performing the secondary power flow calculation include: Distribute the reactive power output of each resource in the optimal reactive power configuration scheme to nodes, and update the reactive power injection of each node. The convergence voltage from the initial power flow calculation is used as the initial value, and then the Newton-Raphson method is used for power flow iteration. Recalculate the node power imbalance and update the Jacobian matrix. Iterate until convergence to obtain the optimized steady-state voltage of each node.

[0051] Specifically, the topology parameters and node load data from the initial power flow calculation are retained unchanged; the optimized reactive power injection is input: the reactive power output of each generalized regulating resource obtained from the particle swarm optimization algorithm is used. (wind power) Photovoltaics Energy storage Electric vehicles Hydropower ), allocate resources according to the node where they reside, and update the node. reactive power injection ,in, For nodes The sum of reactive power output of all generalized regulating resources.

[0052] Specifically, in the absence of topology changes, the node admittance matrix is ​​consistent with the initial power flow calculation.

[0053] Specifically, the initial voltage is the final voltage result calculated from the secondary power flow. .

[0054] Specifically, the formula for calculating node power imbalance is the same as that for the initial power flow calculation, only updated. : Specifically, the calculation logic for the Jacobian matrix elements is consistent with that for the initial power flow calculation, except that... Updates cause imbalance The matrix dimensions and structure remain unchanged despite the changes; the formulas for solving the voltage correction and update voltage are as follows: Specifically, consistent with the initial power flow calculation, it satisfies... and When the iteration terminates, the optimized steady-state voltage of each node is output. .

[0055] In an optional embodiment, the secondary power flow calculation can also employ the fast decoupled power flow method, which, based on the decoupling characteristics of power angle and voltage amplitude in high-voltage power grids, divides the power flow equations into two subsystems: active power-phase angle and reactive power-voltage, and solves them iteratively.

[0056] In an optional embodiment, the secondary power flow calculation can also employ an improved power flow algorithm based on the forward-backward substitution method. Given the reactive power injection amount at each node, the reactive power support effect is directly incorporated into the forward-backward substitution cycle by correcting the power calculation terms in the substitution process.

[0057] It should be noted that in step S400 above, the optimized reactive power configuration scheme is re-substituted into the power flow model for secondary calculation to verify whether the voltage of each node has recovered to the acceptable range. This closed-loop verification mechanism ensures the effectiveness and safety of the scheme under actual power grid operating conditions, avoids the problem of disconnect between theoretical optimization and actual results, and enhances the reliability of the scheme's implementation.

[0058] S500: Outputs the final voltage regulation scheme based on the optimized steady-state voltage of each node.

[0059] In this embodiment of the invention, the final output voltage regulation scheme includes the following sub-steps D1~D3: In D1: Determine whether the optimized steady-state voltage of each node is within the first set range; Specifically, the first set range is the acceptable voltage range that must be met after the voltage at the distribution network node is restored. It is usually set according to relevant national or industry operating standards. In this embodiment, it is set to a range of 0.95 to 1.05 times the rated voltage. This ensures the quality of the power supply voltage and provides a unified technical standard for judging the voltage regulation effect.

[0060] In D2: If the optimized steady-state voltage of all nodes is within the first set range, then the reactive power output and calling sequence of each generalized regulation resource are output as the final calling scheme. In D3: If the optimized steady-state voltage of some nodes is not within the first set range, the supplementary reactive power demand of the nodes is calculated, and the gap information and control suggestions are output. Specifically, the reactive power requirements of computing nodes: in, Inject reactive power to the current node Effective support volume.

[0061] It should also be noted that the system issues a call command to monitor the voltage of each node in real time. If the voltage does not meet expectations, the particle swarm algorithm is restarted to adjust the configuration scheme.

[0062] It should be noted that the above steps S500 form a complete decision-making closed loop, which not only supports the automatic generation of executable control commands, but also provides clear reinforcement guidance when resources are insufficient, thereby improving the practicality and operability of the voltage support system.

[0063] Example 2, refer to Figure 2 and Figure 3 Based on the previous embodiment, this embodiment provides an application example of a distribution network voltage support assessment method based on generalized regulatory resources, to verify and illustrate the technical effects adopted in this method.

[0064] This embodiment uses a 10kV distribution network as the simulation object, with the line containing 12 nodes and a rated voltage. Broadly defined regulatory resources include: wind power Photovoltaics Energy storage Electric vehicles Hydropower The system collects data on line impedance (0.03 Ω / km), load data at each node, and available reactive power margins and operating status of various resources. It also deploys a Newton-Raphson power flow calculation module, setting particle swarm optimization parameters in the algorithm optimization layer: population size 80, maximum iteration count 80. , .

[0065] After the initial power flow calculation, the location node 4 ( ), Node 9 ( () represents a voltage deficiency node, with a total reactive power deficit. Particle encoding The constraints are , , , , .like Figure 3 As shown, after 80 iterations, the fitness function converges, yielding the optimal reactive power configuration scheme: , , , , The total reactive power output is 1520kVar.

[0066] Perform a secondary power flow calculation based on the obtained optimal reactive power configuration scheme, such as... Figure 2 The calculated voltages are 9.85kV for node 4 and 9.92kV for node 9, with all node voltages falling within the range of 9.5~10.5kV. The optimal reactive power dispatch scheme is output, and after the command is issued, the voltages at each node stabilize and meet the specified standards.

[0067] This invention, as described above, locates voltage-deficient nodes and quantifies the total reactive power gap through initial power flow calculation. Utilizing the particle swarm optimization (PSO) algorithm under the capacity and operational constraints of generalized regulation resources, it optimizes the reactive power output of each resource. A second power flow calculation verifies the voltage recovery effect, generating a resource allocation scheme that meets the requirements, or identifying substandard nodes and their supplementary needs, thus achieving precise and efficient voltage recovery in the distribution network. This invention constructs a closed-loop process of two power flow calculations plus algorithm optimization, accurately locating the gap and ensuring the feasibility of the scheme and the integrity of voltage recovery. The PSO algorithm optimizes reactive power allocation, fully leveraging its global optimization advantage to quickly find the optimal scheme that meets the voltage requirements of multiple nodes, improving regulation accuracy and efficiency. Furthermore, this invention strictly considers the reactive power constraints of generalized regulation resources to avoid affecting the resource's own operational function due to improper allocation. This invention integrates diverse generalized regulation resources, broadening the resource sources for voltage regulation, adapting to the operational needs of distribution networks with high penetration of new energy sources, and improving power supply reliability.

[0068] Example 3: This example provides a distribution network voltage support assessment system based on generalized regulation resources, including: The data acquisition module is used to collect data on the operating status of the power distribution network. The initial power flow calculation module is used to perform the initial power flow calculation based on the distribution network operation status data, locate the voltage-deficient nodes and quantify the total reactive power gap; The optimization solution module is used to optimize the reactive power output of each generalized regulation resource based on the total reactive power deficit and using the first optimization algorithm to generate the optimal reactive power configuration scheme. The secondary power flow calculation module is used to perform secondary power flow calculations based on the reactive power output of the optimal reactive power configuration scheme, and to verify and obtain the optimized steady-state voltage of each node. The decision execution module is used to output the final voltage regulation scheme based on the optimized steady-state voltage of each node.

[0069] It should be noted that the technical solution of the distribution network voltage support assessment system based on generalized regulation resources is based on the same concept as the above-mentioned technical solution of the distribution network voltage support assessment method based on generalized regulation resources. For details not described in detail in the technical solution of the distribution network voltage support assessment system based on generalized regulation resources in this embodiment, please refer to the description of the above-mentioned technical solution of the distribution network voltage support assessment method based on generalized regulation resources.

[0070] The above-mentioned unit modules can be embedded in the processor of the electronic device in hardware form or independent of it, or they can be stored in the memory of the electronic device in software form, so that the processor can call and execute the corresponding operations of the above modules.

[0071] This embodiment also provides an electronic device, which includes a processor, a memory, a communication interface, a display screen, and an input device connected via a system bus. The processor provides computing and control capabilities. The memory includes a non-volatile storage medium and internal memory. The non-volatile storage medium stores an operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage medium. The communication interface is used for wired or wireless communication with external terminals; wireless communication can be achieved through Wi-Fi, carrier networks, NFC (Near Field Communication), or other technologies. When the computer program is executed by the processor, it implements a distribution network voltage support assessment method based on generalized regulatory resources. The display screen can be a liquid crystal display (LCD) or an e-ink display. The input device can be a touch layer covering the display screen, buttons, a trackball, or a touchpad mounted on the device's casing, or an external keyboard, touchpad, or mouse.

[0072] This embodiment also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the method proposed in the above embodiments.

[0073] The storage medium proposed in this embodiment belongs to the same inventive concept as the method proposed in the above embodiments. 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.

[0074] 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, random access memory, flash memory, hard disk, or optical disk, and includes several instructions to cause an electronic device (which may be a personal computer, server, or network device, etc.) to execute the method of the embodiments of the present invention.

[0075] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended 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 method for evaluating the voltage support of a distribution network based on generalized regulatory resources, characterized in that, include: Collect data on the operating status of the power distribution network; Based on the power distribution network operation status data, perform the first power flow calculation to locate the voltage-insufficient nodes and quantify the total reactive power deficit; Based on the total reactive power deficit, the first optimization algorithm is used to optimize the reactive power output of each generalized regulation resource to generate the optimal reactive power configuration scheme. A secondary power flow calculation is performed based on the reactive power output of the optimal reactive power configuration scheme to verify and obtain the optimized steady-state voltage of each node. Based on the optimized steady-state voltage of each node, the final voltage regulation scheme is output.

2. The distribution network voltage support assessment method based on generalized regulation resources as described in claim 1, characterized in that, The execution of the initial power flow calculation includes: Based on the distribution network line parameters, voltage and current data of each node, and load data, construct the node admittance matrix; Set the initial voltage distribution, where the voltage of the balancing node is set to the rated value, and the initial voltage of the other nodes is set to the per-unit value; Based on the node admittance matrix and the initial voltage distribution, the node power imbalance is iteratively solved, the Jacobian matrix is ​​constructed, and the voltage correction is calculated. The voltage of each node is updated sequentially until the power imbalance of the node converges to the set accuracy, thus obtaining the steady-state voltage of each node.

3. The distribution network voltage support assessment method based on generalized regulation resources as described in claim 2, characterized in that, The nodes whose location voltage is lower than a set threshold and the total reactive power deficit quantified include: Nodes whose steady-state voltage is lower than a first set threshold are selected as nodes with insufficient voltage. The reactive power requirement of the voltage-deficient node is calculated based on the voltage deviation and equivalent load impedance. The total reactive power deficit of the distribution network is obtained by summing up the reactive power demand of all nodes with insufficient voltage.

4. The distribution network voltage support assessment method based on generalized regulatory resources as described in claim 3, characterized in that, The method for generating the optimal reactive power configuration scheme includes: The reactive power output of each generalized regulation resource is used as an optimization variable to form a multidimensional particle vector; A fitness function is constructed, with the optimization objectives being the highest voltage compliance rate and reactive power output not exceeding resource margin. Initialize the particle swarm optimization algorithm parameters, iteratively update particle positions and velocities, track individual optima and global optima until convergence conditions are met, and output the optimal reactive power configuration scheme.

5. The distribution network voltage support assessment method based on generalized regulation resources as described in claim 4, characterized in that, The execution of the secondary power flow calculation includes: Distribute the reactive power output of each resource in the optimal reactive power configuration scheme to nodes, and update the reactive power injection of each node. Using the convergence voltage of the first power flow calculation as the initial value, the Newton-Raphson method is used again for power flow iteration; Recalculate the node power imbalance and update the Jacobian matrix. Iterate until convergence to obtain the optimized steady-state voltage of each node.

6. The distribution network voltage support assessment method based on generalized regulation resources as described in claim 5, characterized in that, The step of outputting the final voltage regulation scheme based on the optimized steady-state voltage of each node includes: Determine whether the optimized steady-state voltage of each node is within the first set range; If the optimized steady-state voltage of all nodes is within the first set range, then the reactive power output and calling sequence of each generalized regulation resource are output as the final calling scheme. If the optimized steady-state voltage of some nodes is not within the first set range, the reactive power requirement of the nodes is calculated, and the gap information and control suggestions are output.

7. The distribution network voltage support assessment method based on generalized regulation resources as described in claim 1, characterized in that, The power distribution network operation status data includes power distribution network line parameters, voltage, current and load data of each node, and real-time operation data of each generalized regulation resource. The real-time operation data includes rated reactive power capacity, available reactive power margin, output characteristic curve and operation status.

8. A distribution network voltage support assessment system based on generalized regulation resources, employing the distribution network voltage support assessment method based on generalized regulation resources as described in any one of claims 1 to 7, characterized in that, include: The data acquisition module is used to collect data on the operating status of the power distribution network. The initial power flow calculation module is used to perform the initial power flow calculation based on the power distribution network operation status data, locate the voltage-deficient nodes and quantify the total reactive power deficit; The optimization solution module is used to optimize the reactive power output of each generalized regulation resource based on the total reactive power deficit and using the first optimization algorithm to generate the optimal reactive power configuration scheme. The secondary power flow calculation module is used to perform secondary power flow calculations based on the reactive power output of the optimal reactive power configuration scheme, and to verify and obtain the optimized steady-state voltage of each node. The decision execution module is used to output the final voltage regulation scheme based on the optimized steady-state voltage of each node.

9. An electronic device comprising a memory and a processor, characterized in that: The memory is used to store computer-executable instructions, and when the processor executes the computer-executable instructions, it implements the steps of the distribution network voltage support assessment method based on generalized regulation resources as described in any one of claims 1 to 7.

10. A computer-readable storage medium having computer-executable instructions stored thereon, characterized in that: When the computer-executable instructions are executed by the processor, they implement the steps of the distribution network voltage support assessment method based on generalized regulation resources as described in any one of claims 1 to 7.

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