Power distribution network disturbance working condition collaborative regulation method, system, device, medium and product

Abstract

The present application relates to the technical field of power distribution network, and discloses a power distribution network disturbance working condition coordinated regulation method, system, equipment, medium and product. The method comprises the following steps: obtaining operation state information of a plurality of grid-forming new energy clusters in a power distribution network and electrical operation information of the power distribution network, determining a real-time disturbance state of the power distribution network according to the electrical operation information; determining support capability parameters corresponding to each grid-forming new energy cluster according to the operation state information of each grid-forming new energy cluster; according to the real-time disturbance state and the support capability parameters corresponding to each grid-forming new energy cluster, performing coordinated distribution on active power support and reactive power support of the plurality of grid-forming new energy clusters to obtain coordinated support instructions corresponding to each grid-forming new energy cluster; and performing operation control on the corresponding grid-forming new energy cluster according to each coordinated support instruction, thereby improving the coordinated response capability to power fluctuation and voltage, frequency disturbance and the transient operation stability of the power distribution network under the condition of high proportion of new energy access.

Description

Technical Field

[0001] This invention relates to the field of power distribution network technology, and in particular to a method, system, equipment, medium and product for coordinated control of power distribution network disturbance conditions. Background Technology

[0002] In the process of transforming and developing the new power system, distributed power sources such as wind power, photovoltaics, and electrochemical energy storage are gradually upgrading from the traditional grid-connected mode to the grid-connected mode. A large number of grid-connected new energy units with the capabilities of independent voltage building, virtual inertia support, active frequency and voltage regulation, and synchronous phase self-maintenance are being connected to urban distribution networks, county rural power grids, and local distribution network systems in a clustered manner. They are gradually replacing traditional thermal power synchronous units and becoming the core entities for voltage stability, frequency support, and power balance on the distribution network side.

[0003] Compared to traditional grid-connected renewable energy sources that rely solely on grid voltage phase to generate power, grid-connected renewable energy sources can independently construct a local grid operation mode without relying on the voltage of the main grid. They possess stronger potential for proactive grid support and transient disturbance response capabilities, and are also the core carrier for future high renewable energy penetration distribution networks to achieve autonomous stability control, off-grid operation, and fault self-healing.

[0004] Traditional distributed control strategies for distribution networks often follow the logic of grid-connected new energy regulation, relying solely on local information from a single grid unit to complete output regulation. When disturbances occur, the active grid support output of a single regional grid unit is limited, and the overall active support scale of the cluster cannot be fully released. This can easily lead to problems such as delayed support response, insufficient voltage and frequency regulation capabilities, and decreased transient operational stability, thus hindering the improvement of the safe and stable operation level of high-proportion grid-connected new energy distribution networks. Summary of the Invention

[0005] In view of this, in order to solve the above-mentioned technical problems, the present invention provides a method, system, equipment, medium and product for coordinated control of power distribution network disturbance conditions.

[0006] The first aspect of this invention provides a method for coordinated control of power distribution network disturbance conditions, the method comprising: The system acquires the operating status information of multiple grid-type new energy clusters in the distribution network and the electrical operation information of the distribution network, and determines the real-time disturbance status of the distribution network based on the electrical operation information. Based on the operational status information of each of the grid-type new energy clusters, determine the corresponding support capability parameters of each of the grid-type new energy clusters; Based on the real-time disturbance state and the support capability parameters corresponding to each of the grid-type new energy clusters, the active power support and reactive power support of multiple grid-type new energy clusters are coordinated and allocated to obtain the coordinated support instructions corresponding to each of the grid-type new energy clusters. According to the aforementioned collaborative support instructions, the operation control of the corresponding grid-type new energy clusters is carried out so that multiple grid-type new energy clusters can respond collaboratively to the real-time disturbance state.

[0007] In one example, determining the real-time disturbance state of the distribution network based on the electrical operation information includes: The multiple electrical characteristic quantities contained in the electrical operation information are processed to have unified dimensions; According to the preset disturbance weights corresponding to each electrical characteristic quantity, the processed multiple electrical characteristic quantities are fused to obtain the disturbance coefficient; The real-time disturbance state of the distribution network is determined based on the disturbance coefficient.

[0008] In one example, the operating status information includes the current output power; The step of determining the support capability parameters corresponding to each of the grid-type new energy clusters based on their operational status information includes: Based on the current output power of each grid-type new energy cluster and the preset grid support effective utilization coefficient, determine the active support scale corresponding to each grid-type new energy cluster. Based on the current output power of each grid-type new energy cluster and the allowable output power range corresponding to maintaining stable grid operation, the power regulation margin corresponding to each grid-type new energy cluster is determined. Based on the active support scale and the power regulation margin, the support capability parameters corresponding to each of the grid-type new energy clusters are obtained.

[0009] In one example, the step of coordinating the active power support and reactive power support of multiple grid-type renewable energy clusters based on the real-time disturbance state and the support capacity parameters corresponding to each grid-type renewable energy cluster, to obtain the coordinated support instructions corresponding to each grid-type renewable energy cluster, includes: The active power support requirement and reactive power support requirement are determined based on the electrical operation information of the power distribution network. The degree of support adjustment corresponding to the current degree of disturbance is determined based on the real-time disturbance status; Based on the support capacity parameters and support adjustment degree of each of the grid-type new energy clusters, the active power support demand and the reactive power support demand are allocated among the clusters respectively to obtain the active power support quantity and the reactive power support quantity. Based on the active power support and the reactive power support, generate collaborative support instructions corresponding to each of the grid-type new energy clusters.

[0010] In one example, the step of controlling the operation of the corresponding grid-type new energy cluster according to the respective collaborative support instructions includes: Based on the wide-area collaborative optimization strategy, the power control parameters and grid construction control parameters of the corresponding grid-type new energy clusters are adjusted according to the collaborative support instructions, and the power control parameters and grid construction control parameters are updated in a closed loop, so that the corresponding grid-type new energy clusters can output the support power corresponding to the collaborative support instructions while maintaining stable grid construction operation.

[0011] In one example, the method of adjusting the power control parameters and grid construction control parameters of the corresponding grid-type new energy cluster based on the wide-area collaborative optimization strategy according to the collaborative support instructions, and performing closed-loop updates on the power control parameters and the grid construction control parameters, includes: Based on the active and reactive power support quantities in the coordinated support instructions, the power setpoint of the corresponding grid-type new energy cluster is adjusted, and the corresponding power control parameters are adjusted in conjunction with the real-time disturbance status to obtain the voltage reference signal and frequency reference signal for grid construction control. Based on the voltage reference signal and the frequency reference signal, and combined with the virtual inertia and reactive power regulation margin of the corresponding grid-type new energy cluster, the corresponding grid construction control parameters are adjusted so that the grid-type new energy cluster outputs power according to the collaborative support command. The operating status of the grid-connected new energy cluster is obtained after adjustment. The power control parameters and the grid construction control parameters are iteratively adjusted according to the operating status until the grid-connected new energy cluster outputs power according to the collaborative support command and maintains it within the preset stable grid construction operation range.

[0012] Secondly, the present invention also provides a coordinated control system for power distribution network disturbance conditions, the system comprising: The disturbance state determination module is used to acquire the operating status information of multiple grid-type new energy clusters in the distribution network and the electrical operating information of the distribution network, and to determine the real-time disturbance state of the distribution network based on the electrical operating information. The support capability determination module is used to determine the support capability parameters corresponding to each of the grid-type new energy clusters based on the operating status information of each of the grid-type new energy clusters. The collaborative allocation module is used to collaboratively allocate the active power support and reactive power support of multiple grid-type new energy clusters according to the real-time disturbance state and the support capability parameters corresponding to each grid-type new energy cluster, so as to obtain the collaborative support instruction corresponding to each grid-type new energy cluster. The operation control module is used to control the operation of the corresponding grid-type new energy clusters according to the collaborative support instructions, so that multiple grid-type new energy clusters can respond collaboratively to the real-time disturbance state.

[0013] Thirdly, the present invention also provides an electronic device, the electronic device including a memory and a processor, the memory storing a computer program, the computer program being executed by the processor causing the processor to perform the steps of the distribution network disturbance condition coordinated control method as described in the first aspect.

[0014] Fourthly, the present invention also provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed, implements the steps of the method for coordinated control of power distribution network disturbance conditions as described in the first aspect.

[0015] Fifthly, the present invention also provides a computer program product, the computer program product comprising a computer program stored on a non-transitory computer-readable storage medium, the computer program comprising program instructions, wherein, when the program instructions are executed by a computer, the computer performs the steps of the distribution network disturbance condition coordinated control method as described in the first aspect.

[0016] As can be seen from the above technical solutions, this invention uses real-time disturbance status and the support capability parameters of each cluster as a common basis to coordinate the allocation of active and reactive power support among multiple grid-type renewable energy clusters. The resulting coordinated support commands are then applied to the operation control of the corresponding grid-type renewable energy clusters. Therefore, grid-type renewable energy clusters in different regions are no longer limited to responding independently based on their local conditions, but can jointly undertake voltage, frequency, and power support tasks according to the overall disturbance demand and their actual support capabilities. This allows clusters with greater adjustability to supplement the insufficient support capabilities of other clusters, improving the overall utilization of distributed regulation margins while maintaining the stable grid construction and operation of each grid-type renewable energy cluster. This mitigates the insufficient support response caused by limited support capabilities in some areas and insufficient utilization of regulation resources in other areas during disturbances, thereby improving the distribution network's coordinated response capability and transient operational stability to power fluctuations and voltage and frequency disturbances under conditions of high renewable energy integration. Attached Figure Description

[0017] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. 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.

[0018] Figure 1 This is an application environment diagram of a collaborative control method for power distribution network disturbance conditions provided in an embodiment of the present invention; Figure 2A flowchart of a method for coordinated control of power distribution network disturbance conditions provided in an embodiment of the present invention; Figure 3 A comparative diagram showing the support performance of two control strategies under different disturbances; Figure 4 A schematic diagram illustrating the change in the performance improvement of wide-area collaborative optimization control under distribution network disturbance conditions; Figure 5 This is a schematic diagram of the structure of a distribution network disturbance condition coordinated control system provided in an embodiment of the present invention; Figure 6 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present invention. Detailed Implementation

[0019] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0020] The method for coordinated control of distribution network disturbance conditions provided in this application embodiment can be applied to, for example, Figure 1 In the application environment shown, terminal 101 communicates with server 102 via a network. A data storage system can store the data that server 102 needs to process. The data storage system can be integrated onto server 102 or placed on a cloud or other network server. Terminal 101 or server 102 executes a method for coordinated control of power distribution network disturbance conditions. This method includes: acquiring the operating status information of multiple grid-type renewable energy clusters in the power distribution network and the electrical operating information of the power distribution network; determining the real-time disturbance state of the power distribution network based on the electrical operating information; determining the corresponding support capacity parameters of each grid-type renewable energy cluster based on the operating status information of each cluster; coordinating the active power support and reactive power support of multiple grid-type renewable energy clusters based on the real-time disturbance state and the corresponding support capacity parameters, obtaining the corresponding coordinated support instructions for each cluster; and controlling the operation of the corresponding grid-type renewable energy clusters according to the coordinated support instructions, so that multiple grid-type renewable energy clusters can coordinately respond to the real-time disturbance state.

[0021] Terminal 101 can be, but is not limited to, various personal computers, laptops, smartphones, and tablets.

[0022] Server 102 can be a standalone physical server, a server cluster or distributed system consisting of multiple physical servers, or a cloud server that provides cloud computing services.

[0023] Among them, a grid-type renewable energy cluster can be one or more of the following: grid-type photovoltaic cluster, grid-type wind power cluster, or grid-type energy storage cluster. A grid-type renewable energy cluster can correspond to multiple grid-type renewable energy units in the same region, at the same grid connection point, or with a unified control interface. Grid-type renewable energy differs from grid-following renewable energy that relies on external grid voltage and phase for follow-up control. It can form voltage, frequency, or phase references based on its own control and has autonomous voltage build-up, virtual inertia response, and active frequency and voltage regulation capabilities.

[0024] The distribution network can be an urban distribution network, a county-level distribution network, or a local distribution network in an industrial park. In one exemplary scenario, a 10kV urban distribution network connected to multiple grid-type photovoltaic clusters and grid-type energy storage clusters can be selected as the control object. Each grid-type new energy cluster is connected to different areas or different grid-connected nodes of the distribution network, and exchanges operating data and control commands with the dispatching side through a communication network.

[0025] like Figure 2 As shown in the embodiments of this application, a method for coordinated control of distribution network disturbance conditions is provided, which is applied to... Figure 1 Taking terminal 101 or server 102 as an example, the explanation includes the following steps S1 to S4. Wherein: Step S1: Obtain the operating status information of multiple grid-type new energy clusters in the distribution network and the electrical operation information of the distribution network, and determine the real-time disturbance status of the distribution network based on the electrical operation information.

[0026] Specifically, the operational status information of each grid-connected renewable energy cluster can include active power output, reactive power output, generator terminal voltage, virtual inertia, and grid connection phase. Among them, active power output and reactive power output reflect the current power output status of the grid-connected renewable energy cluster; generator terminal voltage reflects its current voltage build-up operation status; virtual inertia reflects the ability of grid control to provide dynamic support for changes in distribution network frequency; and grid connection phase reflects the synchronous operation status between the grid-connected renewable energy cluster and its connected distribution network.

[0027] Electrical operation information of a distribution network can include network frequency, voltage, and branch active power, and can further generate frequency deviation, voltage deviation, and branch power fluctuation. Frequency deviation characterizes the degree of deviation of the actual network frequency from the rated frequency; voltage deviation characterizes the degree of deviation of the actual operating voltage from the rated voltage; and branch power fluctuation characterizes the degree of change of the current active power of a branch relative to the corresponding steady-state reference power.

[0028] By using multiple different electrical dimensions to characterize disturbances, we can reduce the situation where relying on a single frequency quantity or a single voltage quantity cannot fully reflect the disturbance state of the distribution network.

[0029] Step S2: Determine the support capability parameters corresponding to each grid-type new energy cluster based on the operating status information of each grid-type new energy cluster.

[0030] Among them, the support capacity parameter is used to characterize the active power support and regulation potential that a single grid-type renewable energy cluster can provide to the distribution network. The parameter value is determined by the current operating status of the cluster and its own regulation capability. After obtaining the support capacity parameters of each cluster, a basis for subsequent coordinated allocation of support can be provided, avoiding the allocation of support demand beyond the cluster's own regulation range and ensuring the operational stability of the distribution network and renewable energy clusters during the regulation process.

[0031] Step S3: Based on the real-time disturbance status and the support capability parameters corresponding to each grid-type new energy cluster, the active power support and reactive power support of multiple grid-type new energy clusters are coordinated and allocated to obtain the coordinated support instructions corresponding to each grid-type new energy cluster.

[0032] Among them, active power support demand corresponds to the active power regulation demand when the distribution network experiences frequency disturbances, while reactive power support demand corresponds to the reactive power regulation demand when the distribution network experiences voltage fluctuations. During the coordinated allocation process, both the upper limit of the support capacity of each cluster and the actual regulation demand under the current disturbance need to be considered simultaneously to achieve optimal allocation of support resources. Compared to allocating support according to a fixed ratio, the dynamic allocation method based on real-time disturbance status and support capacity parameters can fully utilize the regulation potential of different clusters, avoid overload and shutdown of some clusters, and improve the overall efficiency of disturbance response.

[0033] Step S4: Based on the various collaborative support instructions, perform operational control on the corresponding grid-type new energy clusters so that multiple grid-type new energy clusters can respond collaboratively to real-time disturbances.

[0034] Among them, the collaborative support instructions are generated separately for each grid-type new energy cluster. Each instruction contains the active power support increment and reactive power support increment that the cluster needs to output. During the control process, the operating parameters of each cluster are adjusted according to the instructions, so that multiple clusters can work together to smooth out real-time disturbances in the distribution network. Compared with the control method in which only a single cluster undertakes the support demand, multi-cluster collaborative control can distribute the control pressure and improve the operational stability of the entire distribution network under disturbance conditions.

[0035] This application embodiment uses real-time disturbance status and the support capability parameters of each cluster as a common basis to coordinate the allocation of active and reactive power support among multiple grid-type renewable energy clusters. The resulting coordinated support commands are then applied to the operation control of the corresponding grid-type renewable energy clusters. Therefore, grid-type renewable energy clusters in different regions are no longer limited to responding independently based on their local conditions, but can jointly undertake voltage, frequency, and power support tasks according to the overall disturbance demand and their respective actual support capabilities. This allows clusters with greater adjustability to supplement the insufficient support capabilities of other clusters, improving the overall utilization of distributed regulation margins while maintaining the stable grid construction and operation of each grid-type renewable energy cluster. This mitigates the insufficient support response caused by limited support capabilities in some areas and insufficient utilization of regulation resources in other areas during disturbances, thereby improving the distribution network's coordinated response capability and transient operational stability to power fluctuations and voltage and frequency disturbances under conditions of high renewable energy integration.

[0036] In some embodiments, determining the real-time disturbance state of the distribution network based on electrical operation information includes: performing unified dimension processing on multiple electrical characteristic quantities contained in the electrical operation information; fusing the processed multiple electrical characteristic quantities according to the preset disturbance weights corresponding to each electrical characteristic quantity to obtain a disturbance coefficient; and determining the real-time disturbance state of the distribution network based on the disturbance coefficient.

[0037] Among them, electrical operation information includes multiple electrical characteristic quantities such as frequency deviation, voltage deviation and branch power fluctuation. Since frequency deviation, voltage deviation and branch power fluctuation have different physical dimensions and numerical ranges, the dimensions of each electrical characteristic quantity are unified before disturbance characteristic fusion.

[0038] In one specific implementation, the frequency deviation is normalized using the system rated frequency, the voltage deviation is normalized using the system rated voltage, and the branch power fluctuation is normalized using the regional new energy cluster benchmark installed capacity, thereby converting electrical quantities of different dimensions into relative quantities that can be uniformly compared and integrated.

[0039] The disturbance coefficient can be determined according to the following formula:

[0040] In the formula, The disturbance coefficient; This refers to the real-time operating frequency of the power distribution network. The system's rated frequency; This refers to the real-time operating voltage of the power distribution network. This is the system's rated voltage; The real-time branch power fluctuation of the distribution network can be determined based on the difference between the current active power of the branch and the corresponding steady-state reference power. This serves as the benchmark installed capacity for the regional new energy cluster. , and These are the frequency disturbance weights, voltage disturbance weights, and power disturbance weights, respectively, and they satisfy the following:

[0041] The weights for each disturbance can be determined based on the specific operating scenario of the distribution network. For example, when the distribution network is more sensitive to frequency fluctuations, the frequency disturbance weight can be increased; when there are significant voltage fluctuation problems in the target area, the voltage disturbance weight can be increased accordingly.

[0042] In one implementation, the disturbance coefficient The effective identification range can be limited to 0.05 to 0.18. This range is mainly used to deal with disturbances in the distribution network such as small load fluctuations, power surges, and voltage deviations. The larger the disturbance coefficient, the greater the overall deviation of multiple electrical dimensions from the stable operating state, and the higher the level of grid-based renewable energy support that needs to be called upon in the future.

[0043] In some embodiments, the operating status information includes the current output power. In this case, based on the operating status information of each grid-type renewable energy cluster, the support capability parameters corresponding to each grid-type renewable energy cluster are determined, including: determining the active support scale corresponding to each grid-type renewable energy cluster based on the current output power of each grid-type renewable energy cluster and the preset grid support effective utilization coefficient; determining the power regulation margin corresponding to each grid-type renewable energy cluster based on the current output power of each grid-type renewable energy cluster and the allowable output power range corresponding to maintaining stable grid operation; and obtaining the support capability parameters corresponding to each grid-type renewable energy cluster based on the active support scale and the power regulation margin.

[0044] Specifically, the active support scale is used to characterize the effective output scale of grid-connected renewable energy clusters that can actively participate in the distribution network's voltage support, frequency support, and transient power support. This parameter does not directly consider all the current output power of the grid-connected renewable energy cluster as the effective support power, but further considers the degree of effective utilization of the current grid support of the corresponding cluster.

[0045] The active support scale of a network-based new energy cluster can be determined according to the following formula:

[0046] In the formula, To provide overall active support for the scale of the network-based new energy cluster across the entire region; The number of grid-type renewable energy clusters in the distribution network; For the first The current actual output power of individual grid-type new energy clusters; For the first The effective utilization coefficient of the power grid support corresponding to a grid-type new energy cluster.

[0047] The grid support effective utilization coefficient reflects the extent to which the current output of a grid-connected renewable energy cluster can effectively participate in distribution network support. It can be determined by considering the virtual inertia level, grid stability, and reactive power support capability of the corresponding grid-connected renewable energy cluster. By introducing the grid support effective utilization coefficient, it is possible to avoid including all output power that is limited by its own operation, insufficient current grid stability, or insufficient reactive power support space in the available support capacity. For example, a value between 0 and 1 can be used to set a lower grid support effective utilization coefficient when the current virtual inertia setting of a grid-connected renewable energy cluster is too low or its grid stability is insufficient.

[0048] Power regulation margin is used to characterize the bidirectional adjustable power space of a grid-type new energy cluster, which can continue to increase or decrease power generation without leaving the synchronous operation range and without disrupting its own stable grid construction status.

[0049] The power regulation margin of a grid-connected new energy cluster can be determined by the following formula:

[0050] In the formula, For the total power regulation margin of the whole-area grid-type new energy cluster; For the first The maximum allowable output power corresponding to the stable operation of a grid-type new energy cluster during grid construction; For the first The minimum allowable output power for a grid-type new energy cluster to maintain stable grid operation.

[0051] in, It can represent the first The current upward adjustment margin of individual grid-type new energy clusters, that is, the power space that can still be increased; It can represent the downward adjustment margin, that is, the power range that can be further reduced.

[0052] For example, when the current output power of a grid-type energy storage cluster is close to its maximum allowable power, its upward adjustment margin is small. Therefore, when the power grid experiences a power shortage and needs to increase power generation, it is not advisable to continue to allocate a large power generation task to this cluster. On the contrary, clusters with a low current output level and still have a large upward adjustment space can undertake more power support tasks.

[0053] By describing the support capability through both the scale of active support and the power regulation margin, we can simultaneously reflect both the state of "how much effective support can be provided at present" and "how much further regulation can be carried out at present".

[0054] Furthermore, to quantify the support capabilities of different control methods under the same disturbance state, the comprehensive support performance corresponding to the local distributed control mode and the wide-area collaborative control mode can be established respectively.

[0055] The comprehensive support performance of a grid-type new energy cluster can be expressed by the following formula:

[0056] In the formula, To enhance the comprehensive coordination and interactive support performance of grid-type new energy clusters, Used to reflect the current scale of proactive support that can be generated. This is used to reflect the power regulation space that can still be further utilized.

[0057] The overall support performance of traditional on-site distributed control methods can be expressed as follows:

[0058] In the formula, This refers to the comprehensive support performance corresponding to the localized decentralized control mode; This is the traditional control disturbance attenuation coefficient. The disturbance attenuation coefficient is used to describe how quickly the overall effective support capacity of a grid-type new energy cluster decreases as the degree of disturbance increases, in the absence of cross-regional coordinated regulation.

[0059] Calibration can be performed based on distribution network simulation or historical on-site operating data. For example, under different disturbance coefficients... The changes in support performance when using local distributed control are recorded. The disturbance coefficient is fitted with the actual performance degradation to determine the corresponding disturbance attenuation coefficient.

[0060] For the wide-area collaborative control method, its comprehensive support performance can be expressed as:

[0061] In the formula, The comprehensive support performance corresponding to the wide-area collaborative control mode; Let be the wide-area cooperative disturbance attenuation coefficient, and satisfy:

[0062] This relationship is used to characterize the relatively slow decline in overall support performance caused by increased disturbance when multiple grid-type new energy clusters can coordinate cross-regional support tasks and mutually support power regulation margins.

[0063] In some embodiments, based on the real-time disturbance status and the support capability parameters corresponding to each grid-type renewable energy cluster, the active power support and reactive power support of multiple grid-type renewable energy clusters are coordinated and allocated to obtain coordinated support instructions corresponding to each grid-type renewable energy cluster. This includes: determining the active power support demand and reactive power support demand based on the electrical operation information of the distribution network; determining the support adjustment level corresponding to the current disturbance level based on the real-time disturbance status; allocating the active power support demand and reactive power support demand among the clusters according to the support capability parameters and support adjustment level corresponding to each grid-type renewable energy cluster to obtain the active power support quantity and reactive power support quantity; and generating coordinated support instructions corresponding to each grid-type renewable energy cluster based on the active power support quantity and reactive power support quantity.

[0064] Among them, the active power support demand is used to characterize the active power that the current distribution network needs to further provide or reduce from the grid-type new energy cluster in order to maintain the active power balance.

[0065] In one implementation, the total load power of the entire network and the current total active power output of multiple grid-connected renewable energy clusters are collected in real time, and the real-time power deficit is determined based on the difference between the total load power of the entire network and the current total active power output of the multiple grid-connected renewable energy clusters. .

[0066] when When the value is positive, it indicates that there is a current shortage of active power, and one or more grid-type renewable energy clusters with upward adjustment margins are needed to increase active power output; correspondingly, when there is a need for downward adjustment, grid-type renewable energy clusters with larger downward adjustment margins can be prioritized to undertake the power reduction task.

[0067] The degree of support adjustment is used to convert the real-time disturbance state obtained in step S1 into the degree of coordinated adjustment of the grid-type new energy cluster.

[0068] In one implementation, the disturbance coefficient can be used as a reference. Determine the adaptive adjustment coefficient for the disturbance Generally, it is a univariate positive correlation linear function relationship. The disturbance adaptive adjustment coefficient increases with the increase of the disturbance level, so as to form a control relationship with small-amplitude adjustment under low disturbance conditions and increased network resource participation when the disturbance level increases.

[0069] In response, the first The optimized active power command for a grid-type new energy cluster can be determined according to the following formula:

[0070] In the formula, To optimize the first Active power output commands for individual grid-type new energy clusters; This represents the current active power output of the cluster. This refers to the disturbance adaptive adjustment coefficient corresponding to the real-time disturbance state; Real-time power deficit in the power grid; For the first Power regulation margin corresponding to a grid-type new energy cluster; This refers to the total power regulation margin of multiple grid-type new energy clusters.

[0071] in, Used to indicate the first The margin proportion of each grid-type renewable energy cluster in the current global adjustable power space. Therefore, all other things being equal, grid-type renewable energy clusters with larger remaining adjustment margins receive a larger amount of support tasks, while grid-type renewable energy clusters with smaller remaining margins undertake relatively smaller support tasks.

[0072] Reactive power support demand is used to characterize the reactive power that needs to be provided or absorbed by grid-based renewable energy clusters to suppress the current voltage deviation of the distribution network.

[0073] In one implementation, the voltage deviation between the measured voltage at the grid connection point and the rated voltage can be obtained. Combined with the reactive power-voltage sensitivity of the distribution network, the reactive power required to eliminate or reduce this voltage deviation can be determined and used as the reactive power support requirement. .

[0074] The optimized reactive power output command of a grid-type renewable energy cluster can be determined according to the following formula:

[0075] In the formula, To optimize the first Reactive power output commands for individual grid-type new energy clusters; This represents the current reactive power output of the grid-type new energy cluster. This is the reactive power adaptive adjustment coefficient; This represents the reactive power compensation requirement corresponding to the current voltage disturbance.

[0076] in, It can vary with the degree of disturbance, and generally has a univariate positive correlation with the disturbance coefficient as a linear function. When the degree of disturbance is small, a small amount of reactive power correction is implemented, while when the degree of disturbance increases, the degree of reactive power support is increased, thus forming a reactive power regulation process that adapts to the real-time disturbance state of the distribution network.

[0077] After completing the coordinated allocation of active and reactive power, the corresponding power for each grid-type renewable energy cluster will be allocated accordingly. and As active power support targets and reactive power support targets in the corresponding collaborative support instructions.

[0078] In some embodiments, the operation control of the corresponding grid-type new energy cluster is performed according to each collaborative support instruction, including: adjusting the power control parameters and grid construction control parameters of the corresponding grid-type new energy cluster according to the collaborative support instructions based on the wide-area collaborative optimization strategy, and performing closed-loop updates on the power control parameters and grid construction control parameters, so that the corresponding grid-type new energy cluster outputs the support power corresponding to the collaborative support instructions under the condition of maintaining stable grid construction operation.

[0079] Furthermore, based on the wide-area collaborative optimization strategy, the power control parameters and grid-building control parameters of the corresponding grid-type renewable energy clusters are adjusted according to the collaborative support instructions, and the power control parameters and grid-building control parameters are updated in a closed loop. This includes: adjusting the power setpoint of the corresponding grid-type renewable energy clusters according to the active power support and reactive power support in the collaborative support instructions, and adjusting the corresponding power control parameters in combination with the real-time disturbance status to obtain the voltage reference signal and frequency reference signal used for grid-building control; adjusting the corresponding grid-building control parameters according to the voltage reference signal and frequency reference signal, combined with the virtual inertia and reactive power regulation margin of the corresponding grid-type renewable energy clusters, so that the grid-type renewable energy clusters output power according to the collaborative support instructions; obtaining the operating status of the adjusted grid-type renewable energy clusters, and iteratively adjusting the power control parameters and grid-building control parameters according to the operating status until the grid-type renewable energy clusters output power according to the collaborative support instructions and maintain it within the preset stable grid-building operating range.

[0080] The wide-area collaborative optimization strategy in this embodiment refers to using the aforementioned real-time disturbance state of the distribution network, the support capability parameters corresponding to each grid-type new energy cluster, and the collaborative support instructions formed for multiple grid-type new energy clusters as the control basis to coordinate support tasks among multiple grid-type new energy clusters in a unified manner, and further converting the active and reactive power support targets corresponding to each cluster into control parameters that each cluster can actually execute.

[0081] The wide-area collaborative optimization strategy first determines the support volume undertaken by each cluster from a global perspective, and then performs power control and network construction control within each cluster.

[0082] Power control parameters may include at least the active power setpoint, reactive power setpoint, and corresponding adjustment parameters used in the outer ring power control of the grid-type new energy cluster; grid construction control parameters may include at least the voltage amplitude, phase, and virtual inertia parameters used to maintain the autonomous voltage building and synchronous operation of the grid-type units.

[0083] Specifically, during the closed-loop control process, the power setpoint of the outer loop power control of the corresponding grid-type new energy cluster is updated based on the active power support and reactive power support in the collaborative support command.

[0084] For example, for the first Individual grid-type new energy clusters can utilize the aforementioned collaborative allocation... and These serve as the target setpoints for active and reactive power, respectively. The outer-loop power control adjusts based on the difference between the current actual active and reactive power outputs and the target setpoints, while also adaptively adjusting the power control parameters in conjunction with real-time disturbance conditions.

[0085] In one implementation, the power control parameters may include the adjustment gain corresponding to the outer-loop PI control. When the disturbance level changes, this adjustment gain can be fine-tuned accordingly to match the response speed of the outer-loop power control with the current disturbance level. After updating the power setpoint and power control parameters, the outer-loop power control generates voltage and frequency reference signals for inner-loop network control based on the power control parameters and power setpoint.

[0086] The voltage reference signal is used to determine the voltage state that the grid-type new energy cluster needs to establish or maintain, and the frequency reference signal is used to determine the corresponding frequency or synchronous operation state, so that the collaborative support command can be further transmitted to the grid control layer.

[0087] The outer loop power control generates a frequency reference signal based on the adjustment requirements between the active power setpoint and the actual active power output, and generates a voltage reference signal based on the adjustment requirements between the reactive power setpoint and the actual reactive power output. The frequency reference signal and the voltage reference signal are used as inputs for subsequent grid construction control.

[0088] Specifically, in conjunction with the real-time disturbance coefficient of the distribution network The proportional gain and integral gain of the outer-loop power loop PI controller are adaptively corrected according to the disturbance adaptive formula. When the disturbance increases, the proportional gain is appropriately amplified to speed up the response, and the integral gain is attenuated to suppress integral saturation. Based on the power tracking deviation and the disturbance-adapted PI gain, the outer-loop power controller calculates and outputs a frequency reference signal for the inner-loop network establishment control. and voltage reference signal .

[0089] After obtaining the voltage reference signal and frequency reference signal, the grid construction control parameters are adjusted according to the current virtual inertia and reactive power regulation margin of the corresponding grid-type new energy cluster.

[0090] Among them, virtual inertia is used to characterize the ability of grid-type new energy clusters to provide inertial response to frequency changes, and reactive power regulation margin is used to characterize the space that the cluster can further provide or absorb reactive power while maintaining a stable grid construction state.

[0091] In one implementation, the grid-building control parameters may include the voltage amplitude, phase, and virtual inertia parameters corresponding to the inner-loop grid-building control. By using the voltage reference signal and frequency reference signal output from the outer loop as inputs to the grid-building control, and combining the virtual inertia and reactive power adjustment margin to correct the corresponding grid-building control parameters, specifically, firstly, the voltage reference signal generated by the outer loop is used as a reference for voltage state adjustment, and the frequency reference signal is used as a reference for frequency and synchronization phase adjustment. Then, combined with the current virtual inertia and reactive power adjustment margin of the grid-type renewable energy cluster, the grid-building parameters such as voltage amplitude, phase, and virtual inertia are corrected. This allows the grid-type renewable energy cluster to maintain its autonomous voltage building and synchronous operation capabilities while changing its active and reactive power output towards the target.

[0092] After adjusting the power control parameters and grid connection control parameters, updated inner and outer loop control parameters are issued in a hierarchical closed-loop manner. These updated control parameters are then applied to the corresponding grid-connected renewable energy clusters, causing their output state to change from the current operating point to the target operating point corresponding to the collaborative support command, thus re-acquiring the actual operating state of the corresponding grid-connected renewable energy cluster. The operating state can include at least the adjusted active power output, reactive power output, generator terminal voltage, operating frequency, grid connection phase, or operating parameters that can characterize a stable grid connection state.

[0093] The actual operating status is compared with the target power output corresponding to the current collaborative support command and the preset stable grid-building operating range. When the grid-type new energy cluster has not yet reached the corresponding collaborative support target, the power control parameters are adjusted according to the current actual operating status; when the parameter adjustment causes the generator terminal voltage, frequency or synchronization status to approach the stable grid-building operating boundary, the grid-building control parameters are corrected accordingly.

[0094] The above-described method is used to continuously acquire operational status and update parameters until the grid-type new energy cluster outputs power according to the collaborative support instructions, and the corresponding operational status remains within the preset stable grid construction and operation range. This forms a complete closed-loop control process from the allocation of wide-area support tasks to the actual power output of the grid-type new energy cluster.

[0095] The preset stable grid-connected operation range can be understood as the allowable operating range within which grid-connected new energy clusters can continue to maintain independent voltage building, synchronous operation, and stable power control. This range is consistent with the aforementioned determinations. and The stable network construction and operation boundary adopted at that time corresponds to the boundary.

[0096] Furthermore, after completing the wide-area coordinated control, the degree of improvement in the supporting performance of wide-area coordinated control can be quantified by using the local decentralized control method as a comparison.

[0097] The amount of proactive support for scale improvement can be expressed as:

[0098] in, This indicates the scale of active support under the wide-area collaborative control mode. This indicates the scale of active support corresponding to the localized decentralized control mode.

[0099] The power regulation margin increase can be expressed as:

[0100] in, This indicates the power regulation margin that can be effectively utilized under wide-area cooperative control mode. This indicates the power regulation margin that can be effectively utilized in the local distributed control mode.

[0101] The relative improvement rate of overall support performance can be expressed as:

[0102] In the formula, This represents a significant improvement in the overall support performance of wide-area collaborative control compared to local distributed control.

[0103] Under low disturbance conditions, the performance difference between the two control methods can be relatively small because each grid-type renewable energy cluster can meet basic support requirements through local control. As the disturbance level gradually increases, the problem of insufficient mutual support of regulation margins in different areas in local distributed control gradually becomes apparent. The wide-area collaborative method can show a more significant improvement in support performance by uniformly calling the remaining regulation space of multiple grid-type renewable energy clusters. When the adjustable resources of multiple grid-type renewable energy clusters gradually approach the state of full utilization, the performance improvement tends to stabilize accordingly.

[0104] The following is a calculation example of the coordinated control method for power distribution network disturbance conditions in accordance with the embodiments of this application.

[0105] In this example, a 10kV urban distribution network connected to multiple grid-type photovoltaic clusters and grid-type energy storage clusters is selected as the implementation scenario. Multiple grid-type new energy units with autonomous voltage building and active inertia support capabilities are deployed within the distribution network.

[0106] During operation, the dispatching master station collects real-time data on the operation of the entire network cluster, accurately identifies disturbance events such as load fluctuations and power surges in the distribution network, and determines the level of disturbance. Then, in combination with the inherent operating characteristics of the network-type power source, it calculates the active support output scale of the network cluster that can be mobilized throughout the entire region and the remaining power adjustment margin. Simulation calculations were performed by substituting the traditional local control strategy and the wide-area cooperative optimization control strategy proposed in this application, respectively. Figure 3 and Figure 4 As shown, where, Figure 3 The diagram illustrates a comparison of the support performance of two control strategies under different disturbances. Figure 4 This illustrates the change in the performance improvement of wide-area collaborative optimization control under the condition of power distribution network disturbance.

[0107] in, Figure 3 The horizontal axis represents the actual disturbance level of the distribution network, with a value range between 0.05 and 0.18, and an overall value of less than 0.2, which is the common range of small power and voltage disturbances in the distribution network; the vertical axis represents the proportion of collaborative and interactive support performance of the grid-type new energy cluster.

[0108] As the disturbance level of the distribution network continues to increase, both curves show a downward trend, which is consistent with the actual operating law that the greater the disturbance to the grid, the lower the support capacity of new energy. Among them, the traditional local control curve declines at a faster rate. After the disturbance intensifies, the grid unit is limited by the local operating boundary, the scale of active support is drastically reduced, the power regulation margin cannot be fully utilized, and the overall grid support capacity is significantly reduced. In contrast, the wide-area collaborative optimization control curve declines at a gentler rate. Relying on the advantages of the linkage and mutual assistance of the grid-connected new energy clusters, it can allocate active and reactive power support resources across regions, fully activate the idle regulation margin of each cluster, effectively slow down the rate of support performance degradation, and maintain a higher level of collaborative support under the same disturbance conditions. This directly reflects the role of the wide-area collaborative strategy in tapping the grid support potential of grid-connected power sources.

[0109] Depend on Figure 4 As can be seen, the curve generally shows a real engineering trend of slow rise followed by gradual saturation and stabilization: Under low-disturbance conditions, the distribution network operates stably, and traditional local control can meet the basic support requirements. The space for coordinated regulation of the grid cluster is small, so the performance improvement is low and slow. As the degree of grid disturbance continues to increase, the drawbacks of traditional local control become fully apparent. The insufficient power support capacity of single-region grids and the imbalance of margin resources become increasingly obvious. At this time, the advantages of the wide-area coordinated regulation of this invention are rapidly demonstrated. By coordinating the whole-area grid cluster, the active support scale expansion and power regulation margin complement each other, and the performance improvement continues to rise. When the disturbance reaches the upper limit of the interval, the whole-area grid-type new energy cluster has basically participated in grid coordinated support at full capacity. The regulation potential is close to being fully released, and the growth rate of performance improvement slows down and gradually tends to a stable saturation state.

[0110] This figure can intuitively quantify the improvement effect of wide-area collaborative strategies on the support performance of grid-connected clusters under different disturbance levels, and provide quantitative data basis for formulating grid-connected new energy cluster control schemes based on disturbance intensity.

[0111] Therefore, under mild disturbance conditions, the performance difference between the two control methods for network cluster support is small; when the disturbance in the distribution network continues to increase, each network unit responds independently under the traditional local control mode, the support output drops rapidly, and a large amount of power regulation margin is idle and wasted.

[0112] The wide-area coordination strategy proposed in this application relies on the advantages of autonomous synchronous grid connection of grid-type units, opens up the power allocation channel between regions, coordinates the output and reactive power compensation capacity of each grid cluster, fully releases idle adjustment margin, and continuously improves the overall active grid support capability of the grid cluster. Finally, based on the performance improvement results obtained through quantification, the scheduling platform corrects the internal network control parameters and external power regulation parameters of each grid-type new energy cluster, so as to realize the coordinated response of grid resources across the entire domain to grid disturbances, effectively smooth out voltage and power fluctuations in the distribution network, and comprehensively improve the disturbance tolerance and overall operational stability of high-proportion grid-type new energy access to the distribution network.

[0113] Based on the same inventive concept, this application also provides a distribution network disturbance condition collaborative control system for implementing the above-mentioned distribution network disturbance condition collaborative control method.

[0114] The solution provided by this system is similar to the solution described in the above method. Therefore, the specific limitations of one or more embodiments of the distribution network disturbance condition coordinated control system provided below can be found in the limitations of the distribution network disturbance condition coordinated control method above, and will not be repeated here.

[0115] like Figure 5 As shown in the figure, this application provides a distribution network disturbance condition coordinated control system, which includes: The disturbance state determination module 100 is used to acquire the operating status information of multiple grid-type new energy clusters in the distribution network and the electrical operation information of the distribution network, and determine the real-time disturbance state of the distribution network based on the electrical operation information. The support capability determination module 200 is used to determine the support capability parameters corresponding to each grid-type new energy cluster based on the operating status information of each grid-type new energy cluster. The collaborative allocation module 300 is used to collaboratively allocate the active power support and reactive power support of multiple grid-type new energy clusters according to the real-time disturbance status and the support capacity parameters corresponding to each grid-type new energy cluster, and obtain the collaborative support instructions corresponding to each grid-type new energy cluster. The operation control module 400 is used to control the operation of the corresponding grid-type new energy clusters according to the various collaborative support instructions, so that multiple grid-type new energy clusters can respond collaboratively to real-time disturbances.

[0116] In some embodiments, the disturbance state determination module 100 is configured to: The multiple electrical characteristic quantities contained in the electrical operation information are processed to have unified dimensions; According to the preset disturbance weights corresponding to each electrical characteristic quantity, the processed multiple electrical characteristic quantities are fused to obtain the disturbance coefficient; The real-time disturbance status of the distribution network is determined based on the disturbance coefficient.

[0117] In some embodiments, the operating status information includes the current output power; the support capability determination module 200 is used for: Based on the current output power of each grid-type new energy cluster and the preset grid support effective utilization coefficient, determine the active support scale corresponding to each grid-type new energy cluster. Based on the current output power of each grid-type new energy cluster and the allowable output power range corresponding to maintaining stable grid operation, the power regulation margin corresponding to each grid-type new energy cluster is determined. Based on the active support scale and power regulation margin, the support capability parameters corresponding to each grid-type new energy cluster are obtained.

[0118] In some embodiments, the collaborative allocation module 300 is used for: Determine the active power support requirements and reactive power support requirements based on the electrical operation information of the distribution network; The degree of support adjustment corresponding to the current level of disturbance is determined based on the real-time disturbance status; Based on the support capacity parameters and support adjustment degree corresponding to each grid-type new energy cluster, the active power support demand and reactive power support demand are allocated among the clusters respectively to obtain the active power support quantity and reactive power support quantity. Based on the active power support and reactive power support, generate collaborative support instructions corresponding to each grid-type new energy cluster.

[0119] In some embodiments, the operation control module 400 is configured to: Based on the wide-area collaborative optimization strategy, the power control parameters and grid construction control parameters of the corresponding grid-type new energy clusters are adjusted according to the collaborative support instructions, and the power control parameters and grid construction control parameters are updated in a closed loop, so that the corresponding grid-type new energy clusters can output the support power corresponding to the collaborative support instructions while maintaining stable grid construction operation.

[0120] In some embodiments, the operation control module 400 is configured to: Based on the active and reactive power support quantities in the collaborative support instructions, the power setpoint of the corresponding grid-type new energy cluster is adjusted, and the corresponding power control parameters are adjusted in combination with the real-time disturbance status to obtain the voltage reference signal and frequency reference signal used for grid construction control. Based on the voltage reference signal and frequency reference signal, combined with the virtual inertia and reactive power regulation margin of the corresponding grid-type new energy cluster, the corresponding grid construction control parameters are adjusted so that the grid-type new energy cluster can output power according to the collaborative support command. The system obtains the adjusted operating status of the grid-connected new energy cluster, and iteratively adjusts the power control parameters and grid construction control parameters according to the operating status until the grid-connected new energy cluster outputs power according to the collaborative support instructions and maintains it within the preset stable grid construction operation range.

[0121] like Figure 6 As shown, this application provides an electronic device 10, which includes a memory 20 and a processor 30. The memory 20 stores a computer program, and when the computer program is executed by the processor 30, the processor 30 performs the following: Obtain the operating status information of multiple grid-type new energy clusters in the distribution network and the electrical operation information of the distribution network, and determine the real-time disturbance status of the distribution network based on the electrical operation information; Based on the operational status information of each grid-type new energy cluster, the corresponding support capability parameters of each grid-type new energy cluster are determined. Based on the real-time disturbance status and the support capability parameters corresponding to each grid-type new energy cluster, the active power support and reactive power support of multiple grid-type new energy clusters are coordinated and allocated to obtain the coordinated support instructions corresponding to each grid-type new energy cluster. Based on the various collaborative support instructions, the operation control of the corresponding grid-type new energy clusters is carried out so that multiple grid-type new energy clusters can respond collaboratively to real-time disturbances.

[0122] In some embodiments, when a computer program is executed by processor 30, processor 30 performs the following: The multiple electrical characteristic quantities contained in the electrical operation information are processed to have unified dimensions; According to the preset disturbance weights corresponding to each electrical characteristic quantity, the processed multiple electrical characteristic quantities are fused to obtain the disturbance coefficient; The real-time disturbance status of the distribution network is determined based on the disturbance coefficient.

[0123] In some embodiments, the operating status information includes the current output power; When the computer program is executed by processor 30, processor 30 performs the following: Based on the current output power of each grid-type new energy cluster and the preset grid support effective utilization coefficient, determine the active support scale corresponding to each grid-type new energy cluster. Based on the current output power of each grid-type new energy cluster and the allowable output power range corresponding to maintaining stable grid operation, the power regulation margin corresponding to each grid-type new energy cluster is determined. Based on the active support scale and power regulation margin, the support capability parameters corresponding to each grid-type new energy cluster are obtained.

[0124] In some embodiments, when a computer program is executed by processor 30, processor 30 performs the following: Determine the active power support requirements and reactive power support requirements based on the electrical operation information of the distribution network; The degree of support adjustment corresponding to the current level of disturbance is determined based on the real-time disturbance status; Based on the support capacity parameters and support adjustment degree corresponding to each grid-type new energy cluster, the active power support demand and reactive power support demand are allocated among the clusters respectively to obtain the active power support quantity and reactive power support quantity. Based on the active power support and reactive power support, generate collaborative support instructions corresponding to each grid-type new energy cluster.

[0125] In some embodiments, when a computer program is executed by processor 30, processor 30 performs the following: Based on the wide-area collaborative optimization strategy, the power control parameters and grid construction control parameters of the corresponding grid-type new energy clusters are adjusted according to the collaborative support instructions, and the power control parameters and grid construction control parameters are updated in a closed loop, so that the corresponding grid-type new energy clusters can output the support power corresponding to the collaborative support instructions while maintaining stable grid construction operation.

[0126] In some embodiments, when a computer program is executed by processor 30, processor 30 performs the following: Based on the active and reactive power support quantities in the collaborative support instructions, the power setpoint of the corresponding grid-type new energy cluster is adjusted, and the corresponding power control parameters are adjusted in combination with the real-time disturbance status to obtain the voltage reference signal and frequency reference signal used for grid construction control. Based on the voltage reference signal and frequency reference signal, combined with the virtual inertia and reactive power regulation margin of the corresponding grid-type new energy cluster, the corresponding grid construction control parameters are adjusted so that the grid-type new energy cluster can output power according to the collaborative support command. The system obtains the adjusted operating status of the grid-connected new energy cluster, and iteratively adjusts the power control parameters and grid construction control parameters according to the operating status until the grid-connected new energy cluster outputs power according to the collaborative support instructions and maintains it within the preset stable grid construction operation range.

[0127] This application provides a computer-readable storage medium having a computer program stored thereon, which, when executed, implements: Obtain the operating status information of multiple grid-type new energy clusters in the distribution network and the electrical operation information of the distribution network, and determine the real-time disturbance status of the distribution network based on the electrical operation information; Based on the operational status information of each grid-type new energy cluster, the corresponding support capability parameters of each grid-type new energy cluster are determined. Based on the real-time disturbance status and the support capability parameters corresponding to each grid-type new energy cluster, the active power support and reactive power support of multiple grid-type new energy clusters are coordinated and allocated to obtain the coordinated support instructions corresponding to each grid-type new energy cluster. Based on the various collaborative support instructions, the operation control of the corresponding grid-type new energy clusters is carried out so that multiple grid-type new energy clusters can respond collaboratively to real-time disturbances.

[0128] In some embodiments, the computer program implements the following when executed: The multiple electrical characteristic quantities contained in the electrical operation information are processed to have unified dimensions; According to the preset disturbance weights corresponding to each electrical characteristic quantity, the processed multiple electrical characteristic quantities are fused to obtain the disturbance coefficient; The real-time disturbance status of the distribution network is determined based on the disturbance coefficient.

[0129] In some embodiments, the operating status information includes the current output power; When a computer program is executed, it achieves the following: Based on the current output power of each grid-type new energy cluster and the preset grid support effective utilization coefficient, determine the active support scale corresponding to each grid-type new energy cluster. Based on the current output power of each grid-type new energy cluster and the allowable output power range corresponding to maintaining stable grid operation, the power regulation margin corresponding to each grid-type new energy cluster is determined. Based on the active support scale and power regulation margin, the support capability parameters corresponding to each grid-type new energy cluster are obtained.

[0130] In some embodiments, the computer program implements the following when executed: Determine the active power support requirements and reactive power support requirements based on the electrical operation information of the distribution network; The degree of support adjustment corresponding to the current level of disturbance is determined based on the real-time disturbance status; Based on the support capacity parameters and support adjustment degree corresponding to each grid-type new energy cluster, the active power support demand and reactive power support demand are allocated among the clusters respectively to obtain the active power support quantity and reactive power support quantity. Based on the active power support and reactive power support, generate collaborative support instructions corresponding to each grid-type new energy cluster.

[0131] In some embodiments, the computer program implements the following when executed: Based on the wide-area collaborative optimization strategy, the power control parameters and grid construction control parameters of the corresponding grid-type new energy clusters are adjusted according to the collaborative support instructions, and the power control parameters and grid construction control parameters are updated in a closed loop, so that the corresponding grid-type new energy clusters can output the support power corresponding to the collaborative support instructions while maintaining stable grid construction operation.

[0132] In some embodiments, the computer program implements the following when executed: Based on the active and reactive power support quantities in the collaborative support instructions, the power setpoint of the corresponding grid-type new energy cluster is adjusted, and the corresponding power control parameters are adjusted in combination with the real-time disturbance status to obtain the voltage reference signal and frequency reference signal used for grid construction control. Based on the voltage reference signal and frequency reference signal, combined with the virtual inertia and reactive power regulation margin of the corresponding grid-type new energy cluster, the corresponding grid construction control parameters are adjusted so that the grid-type new energy cluster can output power according to the collaborative support command. The system obtains the adjusted operating status of the grid-connected new energy cluster, and iteratively adjusts the power control parameters and grid construction control parameters according to the operating status until the grid-connected new energy cluster outputs power according to the collaborative support instructions and maintains it within the preset stable grid construction operation range.

[0133] This application provides a computer program product, which includes a computer program stored on a non-transitory computer-readable storage medium. The computer program includes program instructions, wherein when the program instructions are executed by a computer, the computer performs the following: Obtain the operating status information of multiple grid-type new energy clusters in the distribution network and the electrical operation information of the distribution network, and determine the real-time disturbance status of the distribution network based on the electrical operation information; Based on the operational status information of each grid-type new energy cluster, the corresponding support capability parameters of each grid-type new energy cluster are determined. Based on the real-time disturbance status and the support capability parameters corresponding to each grid-type new energy cluster, the active power support and reactive power support of multiple grid-type new energy clusters are coordinated and allocated to obtain the coordinated support instructions corresponding to each grid-type new energy cluster. Based on the various collaborative support instructions, the operation control of the corresponding grid-type new energy clusters is carried out so that multiple grid-type new energy clusters can respond collaboratively to real-time disturbances.

[0134] In some embodiments, when program instructions are executed by a computer, the computer performs the following: The multiple electrical characteristic quantities contained in the electrical operation information are processed to have unified dimensions; According to the preset disturbance weights corresponding to each electrical characteristic quantity, the processed multiple electrical characteristic quantities are fused to obtain the disturbance coefficient; The real-time disturbance status of the distribution network is determined based on the disturbance coefficient.

[0135] In some embodiments, the operating status information includes the current output power; When program instructions are executed by the computer, they cause the computer to perform: Based on the current output power of each grid-type new energy cluster and the preset grid support effective utilization coefficient, determine the active support scale corresponding to each grid-type new energy cluster. Based on the current output power of each grid-type new energy cluster and the allowable output power range corresponding to maintaining stable grid operation, the power regulation margin corresponding to each grid-type new energy cluster is determined. Based on the active support scale and power regulation margin, the support capability parameters corresponding to each grid-type new energy cluster are obtained.

[0136] In some embodiments, when program instructions are executed by a computer, the computer performs the following: Determine the active power support requirements and reactive power support requirements based on the electrical operation information of the distribution network; The degree of support adjustment corresponding to the current level of disturbance is determined based on the real-time disturbance status; Based on the support capacity parameters and support adjustment degree corresponding to each grid-type new energy cluster, the active power support demand and reactive power support demand are allocated among the clusters respectively to obtain the active power support quantity and reactive power support quantity. Based on the active power support and reactive power support, generate collaborative support instructions corresponding to each grid-type new energy cluster.

[0137] In some embodiments, when program instructions are executed by a computer, the computer performs the following: Based on the wide-area collaborative optimization strategy, the power control parameters and grid construction control parameters of the corresponding grid-type new energy clusters are adjusted according to the collaborative support instructions, and the power control parameters and grid construction control parameters are updated in a closed loop, so that the corresponding grid-type new energy clusters can output the support power corresponding to the collaborative support instructions while maintaining stable grid construction operation.

[0138] In some embodiments, when program instructions are executed by a computer, the computer performs the following: Based on the active and reactive power support quantities in the collaborative support instructions, the power setpoint of the corresponding grid-type new energy cluster is adjusted, and the corresponding power control parameters are adjusted in combination with the real-time disturbance status to obtain the voltage reference signal and frequency reference signal used for grid construction control. Based on the voltage reference signal and frequency reference signal, combined with the virtual inertia and reactive power regulation margin of the corresponding grid-type new energy cluster, the corresponding grid construction control parameters are adjusted so that the grid-type new energy cluster can output power according to the collaborative support command. The system obtains the adjusted operating status of the grid-connected new energy cluster, and iteratively adjusts the power control parameters and grid construction control parameters according to the operating status until the grid-connected new energy cluster outputs power according to the collaborative support instructions and maintains it within the preset stable grid construction operation range.

[0139] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems, electronic devices, computer storage media, and computer program products described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0140] In the embodiments of this application, the terms "exemplary" or "for example" are used to indicate that something is an example, illustration, or description. Any embodiment or design that is described as "exemplary" or "for example" in the embodiments of this application should not be construed as being more preferred or advantageous than other embodiments or design. Specifically, the use of the terms "exemplary" or "for example" is intended to present the relevant concepts in a specific manner.

[0141] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0142] It should be understood that although the steps in the flowcharts of the embodiments described above are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the embodiments described above may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages of other steps.

[0143] In the several embodiments provided by this invention, it should be understood that the disclosed systems, electronic devices, computer storage media, computer program products, and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces, indirect coupling or communication connection between devices or units, and may be electrical, mechanical, or other forms.

[0144] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0145] Furthermore, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0146] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for executing all or part of the steps of the methods described in the various embodiments of the present invention through a computer device (which may be a personal computer, a server, or a network device, etc.). The aforementioned storage medium includes: USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, optical disks, and other media capable of storing program code.

[0147] 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 the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for coordinated control of power distribution network disturbance conditions, characterized in that, The method includes: The system acquires the operating status information of multiple grid-type new energy clusters in the distribution network and the electrical operation information of the distribution network, and determines the real-time disturbance status of the distribution network based on the electrical operation information. Based on the operational status information of each of the grid-type new energy clusters, determine the corresponding support capability parameters of each of the grid-type new energy clusters; Based on the real-time disturbance state and the support capability parameters corresponding to each of the grid-type new energy clusters, the active power support and reactive power support of multiple grid-type new energy clusters are coordinated and allocated to obtain the coordinated support instructions corresponding to each of the grid-type new energy clusters. According to the aforementioned collaborative support instructions, the operation control of the corresponding grid-type new energy clusters is carried out so that multiple grid-type new energy clusters can respond collaboratively to the real-time disturbance state.

2. The method for coordinated control of power distribution network disturbance conditions according to claim 1, characterized in that, Determining the real-time disturbance state of the distribution network based on the electrical operation information includes: The multiple electrical characteristic quantities contained in the electrical operation information are processed to have unified dimensions; According to the preset disturbance weights corresponding to each electrical characteristic quantity, the processed multiple electrical characteristic quantities are fused to obtain the disturbance coefficient; The real-time disturbance state of the distribution network is determined based on the disturbance coefficient.

3. The method for coordinated control of power distribution network disturbance conditions according to claim 1, characterized in that, The operating status information includes the current output power; The step of determining the support capability parameters corresponding to each of the grid-type new energy clusters based on their operational status information includes: Based on the current output power of each grid-type new energy cluster and the preset grid support effective utilization coefficient, determine the active support scale corresponding to each grid-type new energy cluster. Based on the current output power of each grid-type new energy cluster and the allowable output power range corresponding to maintaining stable grid operation, the power regulation margin corresponding to each grid-type new energy cluster is determined. Based on the active support scale and the power regulation margin, the support capability parameters corresponding to each of the grid-type new energy clusters are obtained.

4. The method for coordinated control of power distribution network disturbance conditions according to claim 1, characterized in that, The step of coordinating the active power support and reactive power support of multiple grid-type renewable energy clusters based on the real-time disturbance state and the support capacity parameters corresponding to each grid-type renewable energy cluster, to obtain the coordinated support instructions corresponding to each grid-type renewable energy cluster, includes: The active power support requirement and reactive power support requirement are determined based on the electrical operation information of the power distribution network. The degree of support adjustment corresponding to the current degree of disturbance is determined based on the real-time disturbance status; Based on the support capacity parameters and support adjustment degree of each of the grid-type new energy clusters, the active power support demand and the reactive power support demand are allocated among the clusters respectively to obtain the active power support quantity and the reactive power support quantity. Based on the active power support and the reactive power support, generate collaborative support instructions corresponding to each of the grid-type new energy clusters.

5. The method for coordinated control of power distribution network disturbance conditions according to claim 4, characterized in that, The step of controlling the operation of the corresponding grid-type new energy cluster according to the aforementioned collaborative support instructions includes: Based on the wide-area collaborative optimization strategy, the power control parameters and grid construction control parameters of the corresponding grid-type new energy clusters are adjusted according to the collaborative support instructions, and the power control parameters and grid construction control parameters are updated in a closed loop, so that the corresponding grid-type new energy clusters can output the support power corresponding to the collaborative support instructions while maintaining stable grid construction operation.

6. The method for coordinated control of power distribution network disturbance conditions according to claim 5, characterized in that, The wide-area collaborative optimization strategy adjusts the power control parameters and grid construction control parameters of the corresponding grid-type new energy clusters according to the collaborative support instructions, and performs closed-loop updates on the power control parameters and the grid construction control parameters, including: Based on the active and reactive power support quantities in the coordinated support instructions, the power setpoint of the corresponding grid-type new energy cluster is adjusted, and the corresponding power control parameters are adjusted in conjunction with the real-time disturbance status to obtain the voltage reference signal and frequency reference signal for grid construction control. Based on the voltage reference signal and the frequency reference signal, and combined with the virtual inertia and reactive power regulation margin of the corresponding grid-type new energy cluster, the corresponding grid construction control parameters are adjusted so that the grid-type new energy cluster outputs power according to the collaborative support command. The operating status of the grid-connected new energy cluster is obtained after adjustment. The power control parameters and the grid construction control parameters are iteratively adjusted according to the operating status until the grid-connected new energy cluster outputs power according to the collaborative support command and maintains it within the preset stable grid construction operation range.

7. A coordinated control system for power distribution network disturbance conditions, characterized in that, The system includes: The disturbance state determination module is used to acquire the operating status information of multiple grid-type new energy clusters in the distribution network and the electrical operating information of the distribution network, and to determine the real-time disturbance state of the distribution network based on the electrical operating information. The support capability determination module is used to determine the support capability parameters corresponding to each of the grid-type new energy clusters based on the operating status information of each of the grid-type new energy clusters. The collaborative allocation module is used to collaboratively allocate the active power support and reactive power support of multiple grid-type new energy clusters according to the real-time disturbance state and the support capability parameters corresponding to each grid-type new energy cluster, so as to obtain the collaborative support instruction corresponding to each grid-type new energy cluster. The operation control module is used to control the operation of the corresponding grid-type new energy clusters according to the collaborative support instructions, so that multiple grid-type new energy clusters can respond collaboratively to the real-time disturbance state.

8. An electronic device, characterized in that, The electronic device includes a memory and a processor. The memory stores a computer program. When the computer program is executed by the processor, the processor performs the steps of the method for coordinated control of power distribution network disturbance conditions as described in any one of claims 1-6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed, it implements the steps of the method for coordinated control of power distribution network disturbance conditions as described in any one of claims 1-6.

10. A computer program product, characterized in that, The computer program product includes a computer program stored on a non-transitory computer-readable storage medium, the computer program including program instructions, wherein when the program instructions are executed by a computer, the computer performs the steps of the method for coordinated control of power distribution network disturbance conditions as described in any one of claims 1-6.

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