Power distribution network multi-point source storage cluster dynamic division and hybrid collaborative voltage treatment method

Abstract

The invention discloses a power distribution network multi-point source storage cluster dynamic division and hybrid collaborative voltage treatment method, and belongs to the technical field of power system operation and control, and the method comprises the steps: constructing a cluster dynamic division comprehensive index based on a scale index and a sensitivity consistency index; proposing a cluster dynamic division algorithm based on division indexes, and ensuring that the sensitivity in the same cluster tends to be consistent after division; identifying a key bus according to the bus voltage offset, calculating the required voltage regulation quantity, determining a cluster hybrid collaborative algorithm control target, constructing a priority index, and establishing a reactive power and active power compensation sequence based on the priority index; the voltage violation of the key bus is eliminated with the purpose of minimizing the power compensation requirement, and the adjustment of the large-range bus voltage is realized. According to the method, voltage out-of-limit can be effectively suppressed in the high-photovoltaic-permeability power distribution network, the utilization rate of reactive compensation is remarkably increased, the demand of active compensation is reduced, and the service life of equipment is prolonged while control fairness is considered.

Description

TECHNICAL FIELD

[0001] The application relates to a power distribution network multi-point source and storage cluster dynamic division and mixed collaborative voltage control method and belongs to the technical field of power system operation and control. BACKGROUND

[0002] In recent years, photovoltaic power generation has made a significant contribution to global carbon emission reduction. Under the driving of the increasing competitiveness of photovoltaic power generation and the growing demand for clean energy, the application scenarios of photovoltaic power generation will accelerate the penetration into diversified fields, and the application scale of photovoltaic and storage integrated systems on the power distribution network side will further break through. However, the intermittency and volatility of photovoltaic power generation bring randomness to power flow distribution, and as distributed photovoltaic systems are integrated into the power distribution network on a large scale, the power distribution network is easily affected by voltage violations.

[0003] In order to improve the voltage distribution of the bus of the high photovoltaic penetration active power distribution network, two control strategies of decentralized compensation and centralized optimization are usually adopted. However, the decentralized control has limited regulation performance in a complex large-scale network scenario and requires more power capacity, and the centralized control requires a large amount of communication and computing resources, increasing the algorithm calculation complexity. The cluster collaborative method can ensure the regulation performance and reduce the algorithm calculation complexity by combining the coordination between clusters and the autonomy within clusters. However, the existing researches are difficult to divide the power distribution network into fine clusters according to the cluster dynamic division algorithm and index and to carry out accurate cluster collaborative strategies according to the divided clusters, so that the distributed resources are difficult to be maximally utilized and power waste is easily caused. Therefore, the application provides a novel power distribution network multi-point source and storage cluster dynamic division and mixed collaborative voltage control method. SUMMARY

[0004] The application aims to overcome the deficiencies in the prior art and provide a power distribution network multi-point source and storage cluster dynamic division and mixed collaborative voltage control method. A cluster dynamic division algorithm is constructed based on an improved cluster dynamic division comprehensive index, reasonable cluster dynamic division is realized through the algorithm, based on the division result, photovoltaic inverter reactive power compensation and battery energy storage system active power compensation are sequentially utilized in combination with the sequential compensation between clusters and the proportional compensation mechanism within clusters, so that voltage regulation within a certain range is realized, voltage over-limit is prevented, all available photovoltaic units are maximally utilized for reactive power, the demand for active power compensation is reduced, the control ability of the energy storage system under limited capacity is significantly enhanced, and overcharging and overdischarging are avoided.

[0005] To achieve the above-mentioned purpose, the application adopts the following technical scheme:

[0006] The application provides a power distribution network multi-point source and storage cluster dynamic division and mixed collaborative voltage control method, which comprises the following steps:

[0007] Step 1: Construct a comprehensive index for dynamic cluster partitioning based on scale and sensitivity consistency indicators;

[0008] Step 2: Propose a dynamic cluster partitioning algorithm based on partitioning index to ensure that the sensitivity within the same cluster is highly consistent after partitioning, and that the sensitivity differences between different clusters are significant.

[0009] Step 3: Identify key buses based on bus voltage offset and calculate their required voltage regulation, determine the control target of the cluster hybrid cooperative algorithm, construct priority indicators, and establish a compensation order of reactive power first and active power second based on the priority indicators.

[0010] Step 4: With the goal of minimizing power compensation requirements, a hybrid collaborative algorithm is proposed, which combines inter-cluster coordination based on compensation order and intra-cluster coordination based on power capacity ratio, to eliminate voltage violations on critical buses and ultimately achieve regulation of bus voltage over a wide range.

[0011] In step 1, the constructed cluster dynamic partitioning comprehensive index includes modularity index, scale index, and sensitivity consistency index. Step 1 includes the following steps:

[0012] Step 1.1: Calculation of modularity index, including:

[0013] (1);

[0014] in,

[0015] ,

[0016] , , (2;

[0017] ,

[0018] in,

[0019]

[0020] (3);

[0021] in, It is a busbar and The edge weights between them These are the busbars The total edge weight of the associated edges, It is the sum of all edge weights. It is a busbar and busbar The cluster association function, when the bus , In the same cluster, It equals 1 if it is equal to 1, otherwise it is 0. It is a busbar Electrical distance between them These are the busbars Between, busbar Electrical distance between them It is an intermediate variable. It is the total number of all busbars. It is a modularity metric. , yes for , The positive sensitivity coefficient, derived from power flow calculations, includes:

[0022]

[0023] (4);

[0024] in, , It is a busbar , Admittance between It is the total number of busbars. , It is a busbar Active and reactive power injected. It is a busbar and phase angle difference, , It is a busbar and voltage,

[0025] Step 1.2: Calculation of scale indicators, including:

[0026] (5);

[0027] in, It is the maximum number of clusters. It is the first The number of buses in each cluster, using express, and These are the maximum and minimum number of buses in any cluster, respectively. It is a scale indicator.

[0028] Step 1.3: Calculation of active power sensitivity consistency index, including:

[0029] (6);

[0030] The constraints are:

[0031] (7);

[0032] in,

[0033] (8);

[0034] in, It is the total number of active clusters. It is the first The number of buses in an active power cluster. It is the maximum threshold for sensitivity difference in an active cluster. It is an active power sensitivity consistency index. It is the first The voltage of all buses within the active power cluster is relative to the bus. The average value of the positive sensitivity coefficient of the active power injection. It is the first Each active power cluster internal bus Voltage for bus The positive sensitivity coefficient of the active power injection. They are The maximum and minimum values, It is the first The average of the positive sensitivity coefficients of the voltage of all buses in an active power cluster to the active power injected into all buses.

[0035] Step 1.4: Calculation of reactive power sensitivity consistency index, including:

[0036] (9);

[0037] The constraints are:

[0038] (10);

[0039] in,

[0040] (11);

[0041] in, It is the total number of reactive power clusters. It is the first The number of buses in a reactive power cluster. It is the maximum threshold for sensitivity difference in reactive power clusters. It is a reactive power sensitivity consistency index. It is the first The voltage of all buses within a reactive power cluster is relative to the bus. The average value of the positive sensitivity coefficient of reactive power injection. It is the first The busbar within the reactive power cluster Voltage for bus The positive sensitivity coefficient of reactive power injection. They are The maximum and minimum values, It is the first The average value of the positive sensitivity coefficients of the voltage of all buses in a reactive power cluster to the reactive power injection power of all buses.

[0042] Step 1.5: Calculation of comprehensive indicators for dynamic cluster partitioning, including:

[0043]

[0044] in, , , It is the weighting coefficient ( ), It is a comprehensive index for dynamic cluster partitioning (the closer the value is to the value of the cluster partitioning index, the better). The better the cluster partitioning effect.

[0045] In step 2, a dynamic cluster partitioning algorithm is proposed to divide the distribution network into precise reactive power clusters and active power clusters. This includes the following steps:

[0046] Step 2.1: Let the number of iterations be... The weighting coefficients in formula (12) ,

[0047] Step 2.2: Treat each bus as a single cluster and calculate the initial values ​​according to formulas (3)-(11). , , , ,

[0048] Step 2.3: Calculate according to formula (12) and stipulate ,

[0049] Step 2.4: If Then, cluster partitioning is performed and the corresponding calculations are performed. ,

[0050] Step 2.5: If the updated If it is closer to 1, then calculate And Increase by 1; otherwise, the algorithm will repeat the cluster merging process.

[0051] Step 2.6: When At that time, the active cluster partitioning is completed.

[0052] Step 2.7: Let the number of iterations be... The weighting coefficients in formula (12) ,

[0053] Step 2.8: Repeat steps 2.2-2.5, when At that point, the reactive power cluster partitioning is complete, and the algorithm ends.

[0054] This algorithm divides the distribution network into active and reactive power clusters with highly consistent sensitivity within the same cluster and significant differences in sensitivity between different clusters, providing a precise prerequisite for subsequent fine coordination between clusters.

[0055] Step 3 includes the following steps:

[0056] Step 3.1: Calculate the voltage offset of each bus and select the bus with the largest offset as the critical bus. ,

[0057] Step 3.2: Critical Busbar Voltage-controlled amplitude calculation includes:

[0058] (13);

[0059] in, It is the voltage offset threshold. It is a busbar The voltage-controlled amplitude, It is a busbar The measured voltage, It is a busbar The nominal voltage,

[0060] During the overvoltage stage ( busbar The voltage needs to be adjusted downwards until it reaches the upper limit, during the undervoltage phase. busbar The voltage needs to be adjusted upwards until it reaches the lower limit. During the normal voltage phase ( No adjustment is needed.

[0061] Step 3.3: The control objective of the cluster hybrid cooperative algorithm is:

[0062] (14);

[0063] The constraints are:

[0064] (15);

[0065] in,

[0066]

[0067] (16);

[0068] in, , It is a busbar Used to control critical busbars Reactive power and active power of voltage, , It is a busbar Available reactive and active power capacity. It is the power phase angle. It is a busbar The actual charge and discharge power of the battery energy storage It is a busbar The charging / discharging power capacity of the battery energy storage, It is a busbar The actual output power of the photovoltaic system. It is a busbar The apparent rated power of the photovoltaic system.

[0069] Step 3.4: Calculate cluster priority metrics, including:

[0070] (17);

[0071] in, , They are the first Priority indicators for reactive and active clusters.

[0072] Step 3.5: Number the reactive and active clusters in descending order of their priority indicators, including:

[0073] (18);

[0074] Among them, the reactive power compensation sequence between clusters is controlled by the sequence control cluster. To achieve this, the active power compensation order between clusters is controlled by the sequence control cluster. accomplish,

[0075] Step 3.6: For the first All buses in a reactive or active power cluster have highly consistent reactive or active power sensitivity, including:

[0076] (19);

[0077] in, , They represent the first There are two clusters: one with reactive power and one with active power. To ensure... or Task allocation is fair across all buses in the cluster, and proportional reactive power compensation within the cluster is achieved through bus control. according to Proportional reactive power allocation is achieved, while proportional active power compensation within the cluster is achieved through control buses. according to Proportional distribution of reactive power is achieved.

[0078] Step 3 enables the confirmation of key bus and voltage regulation targets. By establishing a compensation order of reactive power first and then active power, as well as a compensation mechanism for the order between clusters and the proportion within clusters, a reasonable and effective premise is provided for subsequent precise cluster coordination strategies.

[0079] Step 4 includes the following steps:

[0080] Step 4.1: The hybrid cooperative algorithm for power clusters employs a control mechanism that prioritizes reactive power over active power, based on both inter-cluster order and intra-cluster proportion. Sequential compensation (inter-cluster) prioritizes reactive / active power compensation in the cluster with the highest sensitivity, thereby minimizing the total power compensation requirement. Proportional compensation (intra-cluster) allocates the required reactive / active power to all buses within the cluster based on their available capacity, preventing overloading of some buses and ensuring fairness in control.

[0081] Step 4.2: For critical busbars The initial voltage control amplitude of the reactive power compensation stage is defined as follows: , define the first A reactive power cluster The updated voltage control amplitude after compensation is ,

[0082] Step 4.3: The reactive power compensation mechanism is as follows:

[0083] (20);

[0084] Among them, through reactive power cluster After sequential reactive power compensation, the critical busbar Updated voltage control amplitude Reactive power compensation is still required. Reactive power clustering. busbar in According to their respective reactive power capacity Proportional distribution of reactive power required When reactive power cluster When there is only one busbar, Only the busbar itself needs reactive power compensation.

[0085] Step 4.4: During the reactive power compensation stage, two situations typically occur, namely, during the control... A reactive power cluster After that, the key busbar The voltage still exceeds the limit, and the first A reactive power cluster Includes available reactive power.

[0086] When the A reactive power cluster The available reactive power on the busbars meets the requirements. When the voltage control requirements are met, the busbar Updated voltage control amplitude and cluster any busbar The required reactive power compensation is:

[0087]

[0088] (twenty one);

[0089] in, It is the first The number of buses in a reactive power cluster. It is the first A reactive power cluster any busbar Required reactive power compensation It is the first A reactive power cluster any busbar Available reactive power capacity It is the first busbar Voltage for reactive power clusters any busbar The positive coefficient of reactive power sensitivity. These are the busbars After the first The updated voltage control amplitude after reactive power cluster compensation, bus The voltage control process in the control of the first A reactive power cluster Ended later

[0090] When the A reactive power cluster The available reactive power does not meet the busbar requirements. When the voltage control requirements are met, the busbar Updated voltage control amplitude and cluster any busbar The required reactive power compensation is:

[0091]

[0092] (twenty two);

[0093] Among them, busbar The voltage control process still requires additional reactive power compensation until... Updated to 0.

[0094] Step 4.5: In the cluster hybrid cooperative algorithm, whether active power compensation is involved depends on the maximum available reactive power capacity of all clusters. If the reactive power is sufficient, then... It can be updated to 0, and no further active power compensation is needed. Otherwise, all photovoltaic systems will reach reactive power capacity, and the critical bus will... The voltage control amplitude is updated as follows:

[0095]

[0096] (twenty three);

[0097] in, It is the total number of reactive power clusters. It is the first The number of buses in a reactive power cluster. It is the first A reactive power cluster any busbar Required reactive power compensation It is the first A reactive power cluster any busbar Available reactive power capacity It is the first busbar Voltage for reactive power clusters any busbar The positive coefficient of reactive power sensitivity. It is a busbar Initial voltage control amplitude during reactive power compensation phase It is a busbar Voltage control amplitude updated after all photovoltaic compensation. The algorithm enters the active power compensation stage until... Updated to 0.

[0098] Step 4.6: For critical busbars The initial voltage control amplitude of the active power compensation stage is defined as follows: , define the first One active cluster The updated voltage control amplitude after compensation is ,

[0099] Step 4.7: The active power compensation mechanism is as follows:

[0100] (twenty four);

[0101] Among them, through active cluster After sequential active power compensation, the critical busbar Updated voltage control amplitude Compensation for active work is still required. busbar in According to their respective active power capacity Proportional distribution of active power required When there is active cluster When there is only one busbar, As long as the busbar itself has active power compensation,

[0102] Step 4.8: During the active power compensation stage, two situations typically occur, namely, during the control... One active cluster After that, the key busbar The voltage still exceeds the limit, and the first One active cluster Includes available active power.

[0103] When the One active cluster The available active power on the busbars meets the requirements. When the voltage control requirements are met, the busbar Updated voltage control amplitude and cluster any busbar The required active power compensation is:

[0104] (25);

[0105] in, It is the first The number of buses in an active power cluster. It is the first One active cluster any busbar Required active power compensation It is the first One active cluster any busbar Available active power capacity, It is a busbar Voltage for the first One active cluster any busbar The positive coefficient of sensitivity for active power. These are the busbars After the first The voltage control amplitude updated after active power cluster compensation, bus The voltage control process in the control of the first One active cluster Ended later

[0106] When the One active cluster The available active power does not meet the busbar requirements. When the voltage control requirements are met, the busbar Updated voltage control amplitude and cluster any busbar The required active power compensation is:

[0107]

[0108] (26);

[0109] Among them, busbar The voltage control process still requires additional active power compensation until... Updated to 0.

[0110] An electronic device includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, it implements the novel method for dynamic partitioning of multi-point source-storage clusters and hybrid collaborative voltage management in power distribution networks.

[0111] A computer-readable storage medium storing computer instructions that, when executed by a processor, implement the novel method for dynamic partitioning of multi-point source-storage clusters and hybrid collaborative voltage management in power distribution networks.

[0112] Compared with the prior art, the advantages of the present invention are as follows:

[0113] 1. Regarding cluster partitioning, this invention constructs a comprehensive index for dynamic cluster partitioning based on scale index and sensitivity consistency index, and proposes a dynamic cluster partitioning algorithm. This ensures that the sensitivity within the same cluster tends to be consistent after partitioning, while the sensitivity differences between different clusters are significant, thereby improving the rationality and efficiency of subsequent voltage regulation.

[0114] Existing technologies mainly focus on the design of control strategies while neglecting the impact of network partitioning on control performance. In terms of cluster partitioning indices, existing technologies often use electrical coupling degree as the main or even the only criterion for partitioning. In terms of cluster partitioning algorithms, existing technologies often use algorithms such as K-means or spectral clustering to achieve cluster partitioning, but their dependence on a single static index often cannot simultaneously meet the multi-objective requirements of distribution network operation. Some research methods are based on optimized partitioning algorithms, aiming to minimize the degree of coupling between clusters or control costs. However, the high computational complexity and poor timeliness of this method hinder its application in practical scenarios. The scale index (Equation (5)) constructed in this invention can be extended to dynamic distribution networks through real-time updates. The sensitivity consistency index (Equations (6)-(11)) constructed meets the requirements of subsequent cluster hybrid cooperative algorithms. The designed cluster dynamic partitioning algorithm based on the comprehensive partitioning index (Equation (12)) can achieve fine dynamic partitioning of reactive and active power clusters, providing structural support for subsequent accurate coordinated control.

[0115] 2. Regarding the setting of control targets and compensation order, this invention identifies critical buses based on bus voltage offset and calculates their required voltage regulation, thus determining subsequent voltage regulation targets. This achieves accurate identification of critical buses and precise calculation of voltage regulation. This invention also constructs a priority index and establishes a compensation order that prioritizes reactive power over active power, preparing for subsequent hybrid collaborative algorithms in the cluster.

[0116] Traditional methods struggle to establish a reasonable compensation order for controlled buses. In contrast, this invention constructs a cluster priority index based on bus sensitivity (Equation (17)) and assigns numbers to reactive and active power clusters based on the priority index (Equation (18)), establishing a compensation order that prioritizes reactive power over active power. For distributed photovoltaic high-penetration distribution networks, the terminal bus usually experiences significant voltage deviation, leading to a greater demand for reactive or active power. Once its voltage recovers to an acceptable range, other buses will generally recover as well. In real-world scenarios, such as the actual low-voltage network in Queensland, Australia used in this study, the cluster dynamic partitioning algorithm divides the network into 7 clusters. Bus 1, located at the end of the feeder, experiences the most severe voltage deviation over multiple time periods. This invention identifies it as a critical bus and uses its controlled voltage amplitude as the voltage regulation target (Equations (13)-(14)). Compensating this bus can simultaneously eliminate the voltage over-limit problem of other buses (see Equation (13)-(14)). Figure 2 , Figure 3 , Figure 4 ).

[0117] 3. Regarding cluster coordination, the proposed hybrid cluster coordination algorithm employs a sequential inter-cluster and a proportional intra-cluster reactive power-active power compensation mechanism. Sequential compensation (inter-cluster) prioritizes reactive power / active power compensation in the cluster with the highest sensitivity, thereby minimizing the total power compensation requirement. Proportional compensation (intra-cluster) allocates the required reactive power / active power to all buses within the cluster based on their available capacity, avoiding overburdening some buses while ensuring control fairness.

[0118] Existing technologies for cluster-based optimal voltage control strategies often consider photovoltaic inverters and battery storage systems that can achieve rapid and continuous voltage regulation through reactive and active power compensation. Some research methods have proposed a local coordination scheme involving photovoltaics and battery storage, but the priority of battery storage leads to non-minimization of active power demand. Other methods optimize the control sequence based on sensitivity levels; however, precise task allocation is difficult when multiple units exhibit the same sensitivity. This invention proposes a control mechanism that prioritizes reactive power over active power based on inter-cluster order and intra-cluster proportion. The proposed mechanism was compared with local compensation methods (Method 1), sensitivity-based proportional compensation methods (Method 2), and equal-proportional compensation methods (Method 3) in a real low-voltage network in Australia. The results show that this invention has superior performance in terms of reactive power utilization and active power demand.

[0119] Regarding reactive power performance (see...) Figure 5 The peak reactive power demand during the day was -2.46 kVAr (Method 1), -16.9 kVAr (Method 2), and -24.6 kVAr (this invention and Method 3), respectively, with corresponding peak values ​​of 8.0 kVAr, 47.4 kVAr, and 80.0 kVAr at night. The maximum reactive power utilization rates were 68.9% (Method 2) and 100.0% (this invention and Methods 1 and 3), respectively. Unlike Methods 1 and 3, this invention can fully utilize the available reactive power of the buses involved. It follows the principle that when the available reactive power on a cluster is insufficient, the next cluster continues to provide reactive power until the voltage problem is resolved, thus maintaining a high utilization rate of over 95.0% during periods of severe voltage violations. Therefore, the proposed method can achieve efficient utilization of reactive power, which is a key factor in reducing active power demand.

[0120] Regarding active power performance (see...) Figure 2The peak active power demand during the daytime was -2.33 kW (this invention), -4.40 kW (Method 1), -3.66 kW (Method 2), and -4.92 kW (Method 3). Compared with Methods 1-3, this invention reduced active power demand by 2.07 kW, 1.33 kW, and 2.59 kW, respectively, saving 47.0%, 36.3%, and 52.6%. The corresponding peak values ​​at night were 1.66 kW, 8.84 kW, 4.54 kW, and 3.67 kW. This invention reduced active power demand by 7.18 kW, 2.88 kW, and 1.33 kW, respectively, saving 81.2%, 63.4%, and 54.8%. Taking the active power control results at 12:00 as an example, Methods 2 and 3 involve all buses, while this invention and Method 1 only involve a few buses. Therefore, this invention achieves a significant reduction in total active power demand by controlling a small-scale battery energy storage system.

[0121] 4. This invention deeply couples the proposed cluster dynamic partitioning algorithm with the cluster hybrid cooperative algorithm, enhancing the correlation between the network and control, and forming a highly efficient new method for distribution network voltage management: the cluster dynamic partitioning algorithm divides the distribution network into refined reactive and active power clusters, laying the topological foundation for subsequent coordinated control; the cluster hybrid cooperative algorithm calculates the reactive and active power compensation of controllable resources, accurately maps reactive and active power adjustment commands to the corresponding clusters, and makes dynamic responses to the partitioning results.

[0122] In summary, this invention effectively solves the voltage over-limit problem in distribution networks with high photovoltaic penetration, significantly improving the operational safety and voltage quality of the power grid system. By minimizing power compensation requirements and optimizing the compensation mechanism, it achieves both efficient regulation technically and reduced compensation costs economically. Furthermore, it significantly enhances the control capability of battery energy storage systems under limited active power capacity, avoiding overcharging and over-discharging, and extending the service life of key power electronic equipment, demonstrating outstanding substantive features and significant progress. Attached Figure Description

[0123] Figure 1 This is a flowchart of a novel method for dynamic partitioning and hybrid collaborative voltage management of multi-point source-storage clusters in distribution networks, provided by an embodiment of the present invention.

[0124] Figure 2 This is a schematic diagram of the initial voltage curves for each bus.

[0125] Figure 3 This is a schematic diagram of the voltage curve after reactive power compensation.

[0126] Figure 4 This is a schematic diagram of the voltage curve after reactive power and active power compensation.

[0127] Figure 5 This is a comparison chart of reactive power performance provided in an embodiment of the present invention.

[0128] Figure 6 This is a comparison chart of active power performance provided in an embodiment of the present invention. Detailed Implementation

[0129] The present invention will be further described below with reference to the accompanying drawings. The following embodiments are only used to more clearly illustrate the technical solution of the present invention, and should not be used to limit the scope of protection of the present invention.

[0130] Example 1: This example introduces a method for dynamic partitioning and hybrid collaborative voltage management of multi-point source-storage clusters in distribution networks, including:

[0131] Construct a comprehensive index for dynamic cluster partitioning based on scale and sensitivity consistency indicators;

[0132] A dynamic cluster partitioning algorithm based on partitioning index is proposed to ensure that the sensitivity within the same cluster tends to be consistent after partitioning, while the sensitivity difference between different clusters is significant.

[0133] Identify key buses based on bus voltage offset and calculate their required voltage regulation, determine the control target of the cluster hybrid cooperative algorithm, construct priority indexes, and establish a compensation order of reactive power first and active power based on the priority indexes.

[0134] With the goal of minimizing power compensation requirements, a hybrid collaborative algorithm is proposed, which combines inter-cluster coordination based on compensation order and intra-cluster coordination based on power capacity ratio, to eliminate voltage violations on critical buses and ultimately achieve regulation of bus voltage over a wide range.

[0135] like Figure 1 As shown in the figure, the novel method for dynamic partitioning and hybrid collaborative voltage management of multi-point source-storage clusters in distribution networks provided in this embodiment involves the following steps in its application process:

[0136] (1) Construct a comprehensive index for dynamic cluster partitioning based on scale index and sensitivity consistency index;

[0137] (2) A dynamic cluster partitioning algorithm based on partitioning index is proposed to ensure that the sensitivity within the same cluster tends to be consistent after partitioning, and the sensitivity difference between different clusters is significant.

[0138] (3) Identify key buses based on bus voltage offset and calculate the required voltage regulation amount, determine the control target of cluster hybrid cooperative algorithm, construct priority index, and establish a compensation order of reactive power first and active power based on priority index.

[0139] (4) With the goal of minimizing power compensation requirements, a hybrid collaborative algorithm of inter-cluster sequential compensation and intra-cluster proportional compensation is adopted to eliminate voltage violations of key buses and ultimately achieve regulation of bus voltage over a wide range.

[0140] The specific steps include:

[0141] Step 1: Construct a comprehensive index for dynamic cluster partitioning based on scale and sensitivity consistency metrics, including:

[0142] Step 1.1: Calculation of modularity index, including:

[0143] (1);

[0144] in,

[0145] ,

[0146] , , (2;

[0147] ,

[0148] in,

[0149]

[0150] (3);

[0151] in, It is a busbar and The edge weights between them These are the busbars The total edge weight of the associated edges, It is the sum of all edge weights. It is a busbar and busbar The cluster association function, when the bus , In the same cluster, It equals 1 if it is equal to 1, otherwise it is 0. It is a busbar Electrical distance between them These are the busbars Between, busbar Electrical distance between them It is an intermediate variable. It is the total number of all busbars. It is a modularity metric. , yes for , The positive sensitivity coefficient, derived from power flow calculations, includes:

[0152]

[0153] (4);

[0154] in, , It is a busbar , Admittance between It is the total number of busbars. , It is a busbar Active and reactive power injected. It is a busbar and phase angle difference, , It is a busbar and voltage,

[0155] Step 1.2: Calculation of scale indicators, including:

[0156] (5);

[0157] in, It is the maximum number of clusters. It is the first The number of buses in each cluster, using express, and These are the maximum and minimum number of buses in any cluster, respectively. It is a scale indicator.

[0158] Step 1.3: Calculation of active power sensitivity consistency index, including:

[0159] (6);

[0160] The constraints are:

[0161] (7);

[0162] in,

[0163] (8);

[0164] in, It is the total number of active clusters. It is the first The number of buses in an active power cluster. It is the maximum threshold for sensitivity difference in an active cluster. It is an active power sensitivity consistency index. It is the first The voltage of all buses within the active power cluster is relative to the bus. The average value of the positive sensitivity coefficient of the active power injection. It is the first Each active power cluster internal bus Voltage for bus The positive sensitivity coefficient of the active power injection. They are The maximum and minimum values, It is the first The average of the positive sensitivity coefficients of the voltage of all buses in an active power cluster to the active power injected into all buses.

[0165] Step 1.4: Calculation of reactive power sensitivity consistency index, including:

[0166] (9);

[0167] The constraints are:

[0168] (10);

[0169] in,

[0170] (11);

[0171] in, It is the total number of reactive power clusters. It is the first The number of buses in a reactive power cluster. It is the maximum threshold for sensitivity difference in reactive power clusters. It is a reactive power sensitivity consistency index. It is the first The voltage of all buses within a reactive power cluster is relative to the bus. The average value of the positive sensitivity coefficient of reactive power injection. It is the first The busbar within the reactive power cluster Voltage for bus The positive sensitivity coefficient of reactive power injection. They are The maximum and minimum values, It is the first The average value of the positive sensitivity coefficients of the voltage of all buses in a reactive power cluster to the reactive power injection power of all buses.

[0172] Step 1.5: Calculation of comprehensive indicators for dynamic cluster partitioning, including:

[0173] (12);

[0174] in, , , It is the weighting coefficient ( ), It is a comprehensive index for dynamic cluster partitioning (the closer the value is to 1, the better the cluster partitioning effect).

[0175] Step 2: Propose a dynamic cluster partitioning algorithm based on partitioning metrics, including:

[0176] Step 2.1: Let the number of iterations be... (12) Weighting coefficients ,

[0177] Step 2.2: Treat each bus as a single cluster and calculate the initial values ​​according to (3)-(11). , , , ,

[0178] Step 2.3: Calculate according to (12) and stipulate ,

[0179] Step 2.4: If Then, cluster partitioning is performed and the corresponding calculations are performed. .

[0180] Step 2.5: If the updated If it is closer to 1, then calculate And Increase by 1; otherwise, the algorithm will repeat the cluster merging process.

[0181] Step 2.6: When At that time, the active cluster partitioning is completed.

[0182] Step 2.7: Let the number of iterations be... The weighting coefficients in formula (12) ,

[0183] Step 2.8: Repeat steps 2.2-2.5, when At that point, the reactive power cluster partitioning is complete, and the algorithm ends.

[0184] This algorithm divides the distribution network into active and reactive power clusters with highly consistent sensitivity within the same cluster and significant differences in sensitivity between different clusters, providing a precise prerequisite for subsequent fine coordination between clusters.

[0185] Step 3: Identify critical buses based on bus voltage offset and calculate their required voltage regulation. Determine the control objective of the cluster hybrid cooperative algorithm, construct priority indices, and establish a compensation order based on these indices, prioritizing reactive power over active power. This includes:

[0186] Step 3.1: Calculate the voltage offset of each bus and select the bus with the largest offset as the critical bus. .

[0187] Step 3.2: Critical Busbar Voltage-controlled amplitude calculation includes:

[0188] (13);

[0189] in, It is the voltage offset threshold. It is a busbar The voltage-controlled amplitude, It is a busbar The measured voltage, It is a busbar The nominal voltage,

[0190] During the overvoltage stage ( busbar The voltage needs to be adjusted downwards until it reaches the upper limit, during the undervoltage phase. busbar The voltage needs to be adjusted upwards until it reaches the lower limit. During the normal voltage phase ( No adjustment is needed.

[0191] Step 3.3: The control objective of the cluster hybrid cooperative algorithm is:

[0192] (14);

[0193] The constraints are:

[0194] (15);

[0195] in,

[0196]

[0197] (16);

[0198] in, , It is a busbar Used to control critical busbars Reactive power and active power of voltage, , It is a busbar Available reactive and active power capacity. It is the power phase angle. It is a busbar The actual charge and discharge power of the battery energy storage It is a busbar The charging / discharging power capacity of the battery energy storage, It is a busbar The actual output power of the photovoltaic system. It is a busbar The apparent rated power of the photovoltaic system.

[0199] Step 3.4: Calculate cluster priority metrics, including:

[0200]

[0201] (17);

[0202] in, , They are the first Priority indicators for reactive and active clusters.

[0203] Step 3.5: Number the reactive and active clusters in descending order of their priority indicators, including:

[0204] (18);

[0205] Among them, the reactive power compensation sequence between clusters is controlled by the sequence control cluster. To achieve this, the active power compensation order between clusters is controlled by the sequence control cluster. accomplish,

[0206] Step 3.6: For the first All buses in a reactive or active power cluster have highly consistent reactive or active power sensitivity, including:

[0207] (19);

[0208] in, , They represent the first There are two clusters: one with reactive power and one with active power. To ensure... or Task allocation is fair across all buses in the cluster, and proportional reactive power compensation within the cluster is achieved through bus control. according to Proportional reactive power allocation is achieved, while proportional active power compensation within the cluster is achieved through control buses. according to Proportional distribution of reactive power is achieved.

[0209] Step 3 enables the confirmation of key bus and voltage regulation targets. By establishing a compensation order of reactive power first and then active power, as well as a compensation mechanism for the order between clusters and the proportion within clusters, a reasonable and effective premise is provided for subsequent precise cluster coordination strategies.

[0210] Step 4: Aiming to minimize power compensation requirements, a hybrid cluster coordination algorithm is proposed, employing both inter-cluster coordination based on compensation order and intra-cluster coordination based on power capacity ratio. This algorithm aims to eliminate voltage violations on critical buses and ultimately achieve regulation of bus voltage over a wide range. This includes:

[0211] Step 4.1: The hybrid cooperative algorithm for power clusters employs a control mechanism that prioritizes reactive power over active power, based on both inter-cluster order and intra-cluster proportion. Sequential compensation (inter-cluster) prioritizes reactive / active power compensation in the cluster with the highest sensitivity, thereby minimizing the total power compensation requirement. Proportional compensation (intra-cluster) allocates the required reactive / active power to all buses within the cluster based on their available capacity, preventing overloading of some buses and ensuring fairness in control.

[0212] Step 4.2: For critical busbars The initial voltage control amplitude of the reactive power compensation stage is defined as follows: , define the first A reactive power cluster The updated voltage control amplitude after compensation is ,

[0213] Step 4.3: The reactive power compensation mechanism is as follows:

[0214]

[0215] (20);

[0216] Among them, through reactive power cluster After sequential reactive power compensation, the critical busbar Updated voltage control amplitude Reactive power compensation is still required. Reactive power clustering. busbar in According to their respective reactive power capacity Proportional distribution of reactive power required When reactive power cluster When there is only one busbar, Only the busbar itself needs reactive power compensation.

[0217] Step 4.4: During the reactive power compensation stage, two situations typically occur, namely, during the control... A reactive power cluster After that, the key busbar The voltage still exceeds the limit, and the first A reactive power cluster Includes available reactive power.

[0218] When the A reactive power cluster The available reactive power on the busbars meets the requirements. When the voltage control requirements are met, the busbar Updated voltage control amplitude and cluster any busbar The required reactive power compensation is:

[0219]

[0220] (twenty one);

[0221] in, It is the first The number of buses in a reactive power cluster. It is the first A reactive power cluster any busbar Required reactive power compensation It is the first A reactive power cluster any busbar Available reactive power capacity It is the first busbar Voltage for reactive power clusters any busbar The positive coefficient of reactive power sensitivity. These are the busbars After the first The updated voltage control amplitude after reactive power cluster compensation, bus The voltage control process in the control of the first A reactive power cluster Ended later

[0222] When the A reactive power cluster The available reactive power does not meet the busbar requirements. When the voltage control requirements are met, the busbar Updated voltage control amplitude and cluster any busbar The required reactive power compensation is:

[0223]

[0224] (twenty two);

[0225] Among them, busbar The voltage control process still requires additional reactive power compensation until... Updated to 0.

[0226] Step 4.5: In the cluster hybrid cooperative algorithm, whether active power compensation is involved depends on the maximum available reactive power capacity of all clusters. If the reactive power is sufficient, then... It can be updated to 0, and no further active power compensation is needed. Otherwise, all photovoltaic systems will reach reactive power capacity, and the critical bus will... The voltage control amplitude is updated as follows:

[0227]

[0228] (twenty three);

[0229] in, It is the total number of reactive power clusters. It is the first The number of buses in a reactive power cluster. It is the first A reactive power cluster any busbar Required reactive power compensation It is the first A reactive power cluster any busbar Available reactive power capacity It is the first busbar Voltage for reactive power clusters any busbar The positive coefficient of reactive power sensitivity. It is a busbar Initial voltage control amplitude during reactive power compensation phase It is a busbar Voltage control amplitude updated after all photovoltaic compensation. The algorithm enters the active power compensation stage until... Updated to 0.

[0230] Step 4.6: For critical busbars The initial voltage control amplitude of the active power compensation stage is defined as follows: , define the first One active cluster The updated voltage control amplitude after compensation is ,

[0231] Step 4.7: The active power compensation mechanism is as follows:

[0232]

[0233] (twenty four);

[0234] Among them, through active cluster After sequential active power compensation, the critical busbar Updated voltage control amplitude Compensation for active work is still required. busbar in According to their respective active power capacity Proportional distribution of active power required When there is active cluster When there is only one busbar, As long as the busbar itself has active power compensation,

[0235] Step 4.8: During the active power compensation stage, two situations typically occur, namely, during the control... One active cluster After that, the key busbar The voltage still exceeds the limit, and the first One active cluster Includes available active power.

[0236] When the One active cluster The available active power on the busbars meets the requirements. When the voltage control requirements are met, the busbar Updated voltage control amplitude and cluster any busbar The required active power compensation is:

[0237]

[0238] (25);

[0239] in, It is the first The number of buses in an active power cluster. It is the first One active cluster any busbar Required active power compensation It is the first One active cluster any busbar Available active power capacity, It is a busbar Voltage for the first One active cluster any busbar The positive coefficient of sensitivity for active power. These are the busbars After the first The voltage control amplitude updated after active power cluster compensation, bus The voltage control process in the control of the first One active cluster Ended later

[0240] When the One active cluster The available active power does not meet the busbar requirements. When the voltage control requirements are met, the busbar Updated voltage control amplitude and cluster any busbar The required active power compensation is:

[0241]

[0242] (26);

[0243] Among them, busbar The voltage control process still requires additional active power compensation until... Updated to 0.

[0244] In this embodiment, by Figures 2-4 The voltage regulation curve results verify the effectiveness of the proposed novel dynamic partitioning and hybrid collaborative voltage management method for multi-point source-storage clusters in distribution networks. Figures 5-6 A performance comparison of different active and reactive power compensation methods shows that the proposed method has superior performance in terms of reactive power utilization and active power demand. Simulation results demonstrate that the proposed method can effectively achieve range regulation of all bus voltages, thereby solving the voltage overrun problem.

[0245] The above description is only a preferred embodiment of the present invention. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the technical principles of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. A method for dynamic partitioning and hybrid collaborative voltage management of multi-point source-storage clusters in distribution networks, characterized in that, The method includes the following steps: Step 1: Construct a comprehensive index for dynamic cluster partitioning based on scale and sensitivity consistency indicators; Step 2: Propose a dynamic cluster partitioning algorithm based on partitioning index to ensure that the sensitivity within the same cluster tends to be consistent after partitioning, while the sensitivity differences between different clusters are significant. Step 3: Identify key buses based on bus voltage offset and calculate their required voltage regulation, determine the control target of the cluster hybrid cooperative algorithm, construct priority indicators, and establish a compensation order of reactive power first and active power second based on the priority indicators. Step 4: With the goal of minimizing power compensation requirements, a hybrid collaborative algorithm is proposed, which combines inter-cluster coordination based on compensation order and intra-cluster coordination based on power capacity ratio, to eliminate voltage violations on critical buses and ultimately achieve regulation of bus voltage over a wide range.

2. The method for dynamic partitioning and hybrid collaborative voltage management of multi-point source-storage clusters in distribution networks according to claim 1, characterized in that, Step 1 involves constructing a comprehensive index for dynamic cluster partitioning, including modularity, scale, and sensitivity consistency metrics. Step 1 includes the following steps: Step 1.1: Calculation of modularity index, including: （1）； in, ； in, It is a busbar and The edge weights between them These are the busbars The total edge weight of the associated edges, It is the sum of all edge weights. It is a busbar and busbar The cluster association function, when the bus , In the same cluster, It equals 1 if it is equal to 1, otherwise it is 0. It is a busbar Electrical distance between them These are the busbars Between, busbar Electrical distance between them It is an intermediate variable. It is the total number of all busbars. , yes for , The positive coefficient of sensitivity, , It is a busbar Active and reactive power injected. It is a busbar voltage, It is a modularity metric. Step 1.2: Calculation of scale indicators, including: （3）； in, It is the maximum number of clusters. It is the first The number of buses in each cluster, using express, and These are the maximum and minimum number of buses in any cluster, respectively. It is a scale indicator. Step 1.3: Calculation of active power sensitivity consistency index, including: （4）； The constraints are: （5）； in, （6）； in, It is the total number of active clusters. It is the first The number of buses in an active power cluster. It is the maximum threshold for sensitivity difference in an active cluster. It is an active power sensitivity consistency index. It is the first The voltage of all buses within the active power cluster is relative to the bus. The average value of the positive sensitivity coefficient of the active power injection. It is the first Each active power cluster internal bus Voltage for bus The positive sensitivity coefficient of the active power injection. They are The maximum and minimum values, It is the first The average of the positive sensitivity coefficients of the voltage of all buses in an active power cluster to the active power injected into all buses. Step 1.4: Calculation of reactive power sensitivity consistency index, including: （7）； The constraints are: （8）； in, （9）； in, It is the total number of reactive power clusters. It is the first The number of buses in a reactive power cluster. It is the maximum threshold for sensitivity difference in reactive power clusters. It is a reactive power sensitivity consistency index. It is the first The voltage of all buses within a reactive power cluster is relative to the bus. The average value of the positive sensitivity coefficient of reactive power injection. It is the first The busbar within the reactive power cluster Voltage for bus The positive sensitivity coefficient of reactive power injection. They are The maximum and minimum values, It is the first The average of the positive sensitivity coefficients of the voltage of all buses in a reactive power cluster to the reactive power injection power of all buses. Step 1.5: Calculation of comprehensive indicators for dynamic cluster partitioning, including: in, , , These are weighting coefficients. , It is a comprehensive index for dynamic cluster partitioning. The closer the value is to 1, the better the cluster partitioning effect.

3. The method for dynamic partitioning and hybrid collaborative voltage management of multi-point source-storage clusters in distribution networks according to claim 2, characterized in that, Step 2 proposes a dynamic cluster partitioning algorithm to divide the distribution network into precise reactive power clusters and active power clusters, including the following steps: Step 2.1: Let the number of iterations be... The weighting coefficients in formula (10) , Step 2.2: Treat each bus as a single cluster and calculate the initial values ​​according to formulas (1)-(9). , , , , Step 2.3: Calculate according to formula (10) and stipulate , Step 2.4: If Then, perform cluster partitioning and calculate the corresponding... , Step 2.5: If the updated If it is closer to 1, then calculate And Increase by 1; otherwise, the algorithm will repeat the cluster merging process. Step 2.6: When At that time, the active cluster partitioning is completed. Step 2.7: Let the number of iterations be... The weighting coefficients in formula (10) , Step 2.8: Repeat steps 2.2-2.5, when At that point, the reactive power cluster partitioning is complete, and the algorithm ends.

4. The method for dynamic partitioning and hybrid collaborative voltage management of multi-point source-storage clusters in distribution networks according to claim 3, characterized in that, Step 3 Includes the following steps, Step 3.1: Calculate the voltage offset of each bus and select the bus with the largest offset as the critical bus. , Step 3.2: Critical Busbar Voltage-controlled amplitude calculation includes: （11）； in, It is the voltage offset threshold. It is a busbar The voltage-controlled amplitude, It is a busbar The measured voltage, It is a busbar The nominal voltage, During the overvoltage phase busbar The voltage needs to be adjusted downwards until it reaches the upper limit during the undervoltage phase. busbar The voltage needs to be adjusted upwards until it reaches the lower limit, at which point it will be within the normal voltage range. No adjustment is needed. Step 3.3: The control objectives of the cluster hybrid cooperative algorithm include: （12）； The constraints are: （13）； in, （14）； in, , It is a busbar Used to control critical busbars Reactive power and active power of voltage, , It is a busbar Available reactive and active power capacity It is the power phase angle. It is a busbar The actual charge and discharge power of the battery energy storage It is a busbar The charging / discharging power capacity of the battery energy storage, It is a busbar The actual output power of the photovoltaic system, It is a busbar The apparent rated power of the photovoltaic system. Step 3.4: Calculate cluster priority metrics, including: ； in, , They are the first Priority indicators for reactive and active clusters. These are the busbars The voltage for the first The busbar within the reactive power cluster reactive power injection and the first Each active power cluster internal bus The positive sensitivity coefficient of the active power injection. Step 3.5: Number the reactive and active clusters in descending order of their priority indicators, including: ； Among them, the reactive power compensation sequence between clusters is controlled by the sequence control cluster. To achieve this, the active power compensation order between clusters is controlled by the sequence control cluster. accomplish, Step 3.6: For the first All buses in a reactive or active power cluster have highly consistent reactive or active power sensitivity, including: （17）； in, , They represent the first There are reactive and active clusters to ensure or Task allocation is fair across all buses in the cluster, and proportional reactive power compensation within the cluster is achieved through bus control. according to Proportional reactive power allocation is achieved, while proportional active power compensation within the cluster is achieved through control buses. according to Proportional distribution of reactive power is achieved.

5. The method for dynamic partitioning and hybrid collaborative voltage management of multi-point source-storage clusters in distribution networks according to claim 4, characterized in that, In step 4, a control mechanism is adopted that prioritizes reactive power over active power, based on the order of inter-cluster operations and the proportion within each cluster, ultimately achieving regulation of the bus voltage over a wide range, including: Step 4.1: The cluster hybrid cooperative algorithm adopts a control mechanism that prioritizes reactive power over active power, based on the order of inter-cluster compensation and the proportion within the cluster. Sequential compensation prioritizes reactive / active power compensation in the cluster with the highest sensitivity, thereby minimizing the total power compensation requirement. Proportional compensation allocates the required reactive / active power to all buses within the cluster based on the available capacity of the buses, avoiding overloading some buses and ensuring the fairness of the control. Step 4.2: For critical busbars The initial voltage control amplitude of the reactive power compensation stage is defined as follows: , define the first A reactive power cluster The updated voltage control amplitude after compensation is , Step 4.3: The reactive power compensation mechanism is as follows: ； Among them, through reactive power cluster After sequential reactive power compensation, the critical busbar Updated voltage control amplitude Reactive power compensation and reactive power clustering are still required. busbar in According to their respective reactive power capacity Proportional distribution of reactive power required When reactive power cluster When there is only one busbar, Only the busbar itself needs reactive power compensation. Step 4.4: During the reactive power compensation stage, two situations typically occur, namely, during the control... A reactive power cluster After that, the key busbar The voltage still exceeds the limit, and the first A reactive power cluster Includes available reactive power. When the A reactive power cluster The available reactive power on the busbars meets the requirements. When the voltage control requirements are met, the busbar Updated voltage control amplitude and cluster arbitrary busbar The required reactive power compensation is: ； in, It is the first The number of buses in a reactive power cluster. It is the first A reactive power cluster arbitrary busbar Required reactive power compensation, It is the first A reactive power cluster arbitrary busbar Available reactive power capacity It is the first busbar Voltage for reactive power clusters arbitrary busbar The positive coefficient of reactive power sensitivity. These are the busbars After the first The updated voltage control amplitude after reactive power cluster compensation, bus The voltage control process in the control of the first A reactive power cluster Ended later. When the A reactive power cluster The available reactive power does not meet the busbar requirements. When the voltage control requirements are met, the busbar Updated voltage control amplitude and cluster arbitrary busbar The required reactive power compensation is: ； Among them, busbar The voltage control process still requires additional reactive power compensation until... Updated to 0. Step 4.5: In the cluster hybrid cooperative algorithm, whether active power compensation is involved depends on the maximum available reactive power capacity of all clusters. If the reactive power is sufficient, then... The update is set to 0, and no further active power compensation is needed; otherwise, all photovoltaic systems would reach reactive power capacity, and the critical busbar would be at its maximum. The voltage control amplitude is updated as follows: ； in, It is the total number of reactive power clusters. It is the first The number of buses in a reactive power cluster. It is the first A reactive power cluster arbitrary busbar Required reactive power compensation, It is the first A reactive power cluster arbitrary busbar Available reactive power capacity It is the first busbar Voltage for reactive power clusters arbitrary busbar The positive coefficient of reactive power sensitivity. It is a busbar Initial voltage control amplitude during reactive power compensation phase It is a busbar Voltage control amplitude updated after all photovoltaic compensation. The algorithm enters the active power compensation stage until... Updated to 0. Step 4.6: For critical busbars The initial voltage control amplitude of the active power compensation stage is defined as follows: , define the first One active cluster The updated voltage control amplitude after compensation is , Step 4.7: The active power compensation mechanism is as follows: ， Among them, through active cluster After sequential active power compensation, the critical busbar Updated voltage control amplitude Compensation for active contributions is still needed, and active contribution clusters are also required. busbar in According to their respective active power capacity Proportional distribution of active power required When there is a cluster of active users When there is only one busbar, As long as the busbar itself has active power compensation, Step 4.8: During the active power compensation stage, two situations may occur, namely, during the control... One active cluster After that, the key busbar The voltage still exceeds the limit, and the first One active cluster Includes available active power. When the One active cluster The available active power on the busbar meets the requirements. When the voltage control requirements are met, the busbar Updated voltage control amplitude and cluster arbitrary busbar The required active power compensation is: ； in, It is the first The number of buses in an active power cluster. It is the first One active cluster arbitrary busbar Required active power compensation It is the first One active cluster arbitrary busbar Available active power capacity It is a busbar Voltage for the first One active cluster arbitrary busbar The positive coefficient of sensitivity for active power. These are the busbars After the first The voltage control amplitude updated after active power cluster compensation, bus The voltage control process in the control of the first One active cluster Ended later. When the One active cluster The available active power does not meet the busbar requirements. When the voltage control requirements are met, the busbar Updated voltage control amplitude and cluster arbitrary busbar The required active power compensation is: ； Among them, busbar The voltage control process still requires additional active power compensation until... Updated to 0.

6. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the program, it implements the dynamic partitioning and hybrid collaborative voltage management method for multi-point source-storage clusters in distribution networks as described in any one of claims 1 to 5.

7. A computer-readable storage medium storing computer instructions thereon, characterized in that, When the computer instruction is executed by the processor, it implements the method for dynamic partitioning and hybrid collaborative voltage management of multi-point source-storage clusters in distribution networks as described in any one of claims 1 to 5.

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