New energy scheduling method and device for provincial and regional cooperation, computer equipment, readable storage medium and program product

Abstract

The invention relates to a provincial and regional collaborative new energy scheduling method and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: acquiring a new energy peak regulation gap of a target province; under the condition that the new energy peak regulation gap is not smaller than a preset threshold value, according to the new energy accumulation utilization rate, the planned electric quantity completion rate, the automatic power generation control application index, the energy exchange participation index and the energy storage utilization index of each new energy station in the target provincial region, the regulation priority of each new energy station is determined; according to the new energy peak regulation gap, carrying out abandoned power distribution on each new energy station according to a priority regulation sequence to obtain a power dispatching scheme of each new energy station; sending the power dispatching scheme of each new energy station to a regional power dispatching main body of the region where the new energy station is located; and the regional power dispatching main body dispatches each new energy station of the region according to the power dispatching scheme. By adopting the method, the overall consumption efficiency of the power system on the new energy can be improved.

Description

Technical Field

[0001] This application relates to the field of power dispatching technology, and in particular to a provincial-local collaborative new energy dispatching method, device, computer equipment, computer-readable storage medium, and computer program product. Background Technology

[0002] With the transformation of the global energy structure, new energy sources are playing an increasingly important role in the energy system, and the installed capacity of new energy sources such as photovoltaic and wind power is increasing year by year. However, due to the volatility and intermittency of new energy power generation, the system often needs to reduce the output of some units to maintain stability when there is an imbalance between power supply and demand. In related technologies, each region often only dispatches new energy power plants based on local load and forecasts, which can easily lead to an imbalance in new energy output between regions and affect the overall efficiency of the power system in absorbing new energy. Summary of the Invention

[0003] Based on this, it is necessary to provide a provincial-local collaborative new energy dispatching method, device, computer equipment, computer-readable storage medium, and computer program product to address the above-mentioned technical problems.

[0004] Firstly, this application provides a provincial-local collaborative new energy dispatching method, including:

[0005] To identify the peak-shaving gap of new energy sources in the target provinces and regions;

[0006] When the peak-shaving gap of new energy is not less than a preset threshold, the adjustment priority of each new energy power station is determined based on the cumulative utilization rate of new energy, the planned power completion rate, the automatic generation control application index, the energy exchange participation index, and the energy storage utilization index of each new energy power station in the target province.

[0007] Based on the new energy peak-shaving gap, the abandoned power of each new energy power station is allocated according to the order of adjustment priority to obtain the power dispatch scheme of each new energy power station;

[0008] The power dispatching schemes for each of the new energy power plants are sent to the regional power dispatching entity in the region where the new energy power plants are located; the regional power dispatching entity is used to dispatch each of the new energy power plants in the region according to the power dispatching schemes.

[0009] In one embodiment, the step of allocating the abandoned power to each of the renewable energy power plants according to the adjustment priority based on the renewable energy peak-shaving gap to obtain a power dispatch scheme for each renewable energy power plant includes: allocating the abandoned power to each of the renewable energy power plants according to the power curtailment parameters according to the adjustment priority; if the abandoned power allocated to each of the renewable energy power plants does not match the renewable energy peak-shaving gap, updating the power curtailment parameters; and, based on the updated power curtailment parameters, executing the step of allocating the abandoned power to each of the renewable energy power plants according to the power curtailment parameters according to the adjustment priority, until the abandoned power allocated to each of the renewable energy power plants matches the renewable energy peak-shaving gap, or the number of allocation rounds reaches a preset upper limit; and obtaining the power dispatch scheme based on the abandoned power allocated to each of the renewable energy power plants.

[0010] In one embodiment, the power curtailment parameters include a curtailment rate corresponding to each allocation round; the curtailment rate increases as the allocation round increases; the allocation of curtailed power to each of the renewable energy power plants according to the power curtailment parameters in the order of the adjustment priority includes: in the order of the adjustment priority, according to the curtailment rate of the current allocation round and the predicted output value of each renewable energy power plant, sequentially allocating curtailed power to each renewable energy power plant until the curtailed power allocated to each renewable energy power plant matches the renewable energy peak-shaving gap, or completing the allocation of curtailed power to all renewable energy power plants.

[0011] In one embodiment, the step of allocating the curtailed power to each of the renewable energy power stations in sequence according to the order of the adjustment priority, based on the curtailment rate of the current allocation round and the predicted output value of each renewable energy power station, includes: calculating the curtailed output value and the curtailed power volume of the renewable energy power station based on the curtailment rate of the current round and the predicted output value of the renewable energy power station; if the curtailed output value is less than the minimum output limit of the renewable energy power station, or if the curtailed power volume is less than the minimum curtailed power volume, then the allocation of curtailed power to the renewable energy power station is skipped.

[0012] In one embodiment, when the amount of abandoned power allocated to each of the renewable energy power plants does not match the renewable energy peak-shaving gap, the step of allocating the abandoned power to each of the renewable energy power plants according to the order of the adjustment priority and the power curtailment parameters includes: updating the adjustment priority of each renewable energy power plant according to the real-time status data of each renewable energy power plant; and, according to the updated adjustment priority, performing the step of allocating the abandoned power to each renewable energy power plant according to the order of the adjustment priority and the power curtailment parameters.

[0013] In one embodiment, determining the adjustment priority of each new energy power station based on its cumulative new energy utilization rate, planned power completion rate, automatic generation control application index, energy exchange participation index, and energy storage utilization index in the target province includes: weighting and integrating the cumulative new energy utilization rate, planned power completion rate, automatic generation control application index, energy exchange participation index, and energy storage utilization index of each new energy power station to obtain a new energy curtailment assessment value for each new energy power station; and determining the adjustment priority of each new energy power station from high to low according to the new energy curtailment assessment values ​​from low to high.

[0014] Secondly, this application also provides a provincial-local collaborative new energy dispatching device, comprising:

[0015] The peak-shaving gap acquisition module is used to acquire the new energy peak-shaving gap in the target province.

[0016] The priority acquisition module is used to determine the adjustment priority of each new energy power station in the target province based on the cumulative utilization rate of new energy, the planned power completion rate, the automatic generation control application index, the energy exchange participation index, and the energy storage utilization index of each new energy power station, when the new energy peak-shaving gap is not less than a preset threshold.

[0017] The power curtailment allocation module is used to allocate the curtailed power to each of the new energy power plants according to the new energy peak-shaving gap and the order of the adjustment priority, so as to obtain the power dispatching scheme of each of the new energy power plants.

[0018] The scheme sending module is used to send the power dispatch scheme of each of the new energy power stations to the regional power dispatching entity of the region where the new energy power station is located; the regional power dispatching entity is used to dispatch each of the new energy power stations in the region according to the power dispatch scheme.

[0019] Thirdly, this application also provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to perform the following steps:

[0020] To identify the peak-shaving gap of new energy sources in the target provinces and regions;

[0021] When the peak-shaving gap of new energy is not less than a preset threshold, the adjustment priority of each new energy power station is determined based on the cumulative utilization rate of new energy, the planned power completion rate, the automatic generation control application index, the energy exchange participation index, and the energy storage utilization index of each new energy power station in the target province.

[0022] Based on the new energy peak-shaving gap, the abandoned power of each new energy power station is allocated according to the order of adjustment priority to obtain the power dispatch scheme of each new energy power station;

[0023] The power dispatching schemes for each of the new energy power plants are sent to the regional power dispatching entity in the region where the new energy power plants are located; the regional power dispatching entity is used to dispatch each of the new energy power plants in the region according to the power dispatching schemes.

[0024] Fourthly, this application also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, performs the following steps:

[0025] To identify the peak-shaving gap of new energy sources in the target provinces and regions;

[0026] When the peak-shaving gap of new energy is not less than a preset threshold, the adjustment priority of each new energy power station is determined based on the cumulative utilization rate of new energy, the planned power completion rate, the automatic generation control application index, the energy exchange participation index, and the energy storage utilization index of each new energy power station in the target province.

[0027] Based on the new energy peak-shaving gap, the abandoned power of each new energy power station is allocated according to the order of adjustment priority to obtain the power dispatch scheme of each new energy power station;

[0028] The power dispatching schemes for each of the new energy power plants are sent to the regional power dispatching entity in the region where the new energy power plants are located; the regional power dispatching entity is used to dispatch each of the new energy power plants in the region according to the power dispatching schemes.

[0029] Fifthly, this application also provides a computer program product, including a computer program that, when executed by a processor, performs the following steps:

[0030] To identify the peak-shaving gap of new energy sources in the target provinces and regions;

[0031] When the peak-shaving gap of new energy is not less than a preset threshold, the adjustment priority of each new energy power station is determined based on the cumulative utilization rate of new energy, the planned power completion rate, the automatic generation control application index, the energy exchange participation index, and the energy storage utilization index of each new energy power station in the target province.

[0032] Based on the new energy peak-shaving gap, the abandoned power of each new energy power station is allocated according to the order of adjustment priority to obtain the power dispatch scheme of each new energy power station;

[0033] The power dispatching schemes for each of the new energy power plants are sent to the regional power dispatching entity in the region where the new energy power plants are located; the regional power dispatching entity is used to dispatch each of the new energy power plants in the region according to the power dispatching schemes.

[0034] The aforementioned provincial-regional collaborative new energy dispatching method, device, computer equipment, computer-readable storage medium, and computer program product first obtain the new energy peak-shaving gap of the target province. If the new energy peak-shaving gap is not less than a preset threshold, the adjustment priority of each new energy power station is determined based on its cumulative new energy utilization rate, planned power completion rate, automatic generation control application indicators, energy exchange participation indicators, and energy storage utilization indicators. Then, based on the new energy peak-shaving gap and in order of adjustment priority, the abandoned power of each new energy power station is allocated to obtain a power dispatching plan for each new energy power station. Finally, the power dispatching plan for each new energy power station is sent to the regional power dispatching entity in the region where the new energy power station is located, and the regional power dispatching entity dispatches each new energy power station in the region according to the power dispatching plan. This scheme, under the condition that the peak-shaving gap of renewable energy in the target province is not less than a preset threshold, determines the adjustment priority of each renewable energy power station by statistically analyzing multiple dimensions such as the cumulative utilization rate of renewable energy, the planned power generation completion rate, automatic generation control application indicators, energy exchange participation indicators, and energy storage utilization indicators of renewable energy power stations in various regions of the province. It can comprehensively consider the renewable energy generation situation of different renewable energy power stations in the province to set the adjustment priority, and then allocate the abandoned power of each renewable energy power station according to the priority to obtain the power dispatch scheme of each renewable energy power station. It can achieve fair allocation of abandoned power among regions, which is conducive to the balanced distribution of renewable energy output in various regions of the province and improves the overall absorption efficiency of renewable energy in the power system. Attached Figure Description

[0035] To more clearly illustrate the technical solutions in the embodiments of this application or related technologies, the drawings used in the description of the embodiments of this application or related technologies will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0036] Figure 1 This is a flowchart illustrating a provincial-local collaborative new energy dispatching method in one embodiment;

[0037] Figure 2 This is a schematic diagram illustrating the process of allocating abandoned electricity to various renewable energy power plants in one embodiment;

[0038] Figure 3This is a flowchart illustrating a provincial-local collaborative new energy dispatching method in another embodiment;

[0039] Figure 4 This is a schematic diagram of the structure of a new energy automatic dispatching system in one embodiment;

[0040] Figure 5 This is a schematic diagram of the allocation process for each allocation round in one embodiment;

[0041] Figure 6 This is a structural block diagram of a provincial-local collaborative new energy dispatching device in one embodiment;

[0042] Figure 7 This is an internal structural diagram of a computer device in one embodiment. Detailed Implementation

[0043] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0044] It should be noted that the terms "first," "second," etc., used in this application can be used to describe various objects, but these objects are not limited by these terms. These terms are only used to distinguish the first object from the second object. The terms "comprising" and "having," and any variations thereof, used in this application, are intended to cover non-exclusive inclusion. The term "multiple" used in this application refers to two or more. The term "and / or" used in this application refers to one of the solutions, or any combination of multiple solutions.

[0045] In one embodiment, such as Figure 1 As shown, a provincial-level coordinated new energy dispatching method is provided. This embodiment illustrates the method by applying it to a server. It is understood that this method can also be applied to terminals, and furthermore, to systems including both terminals and servers, and is implemented through interaction between the terminals and servers. In this embodiment, the method includes the following steps:

[0046] Step S101: Obtain the peak-shaving gap of new energy sources in the target province / region.

[0047] Specifically, the method of this embodiment can be applied to the provincial power dispatching entity of the target province, which can monitor the power grid operation status and power generation of each power station in the target province to obtain the renewable energy peak-shaving gap of the target province. For example, the renewable energy peak-shaving gap of the target province can be calculated according to a preset time interval (e.g., 15 minutes), and dispatching can be carried out based on the renewable energy peak-shaving gap.

[0048] The peak-shaving gap for renewable energy can occur when the power system's generating capacity exceeds its load during periods of high renewable energy generation. For example, the peak-shaving gap for renewable energy can be expressed as:

[0049]

[0050] In the formula, This indicates a shortage in peak-shaving capacity from renewable energy sources. Indicates peak load. Indicates wind power output. Indicates photovoltaic power output. Indicates the deep regulation capability of thermal power plants. Indicates the ability to regulate water and electricity. This indicates the energy storage regulation capability.

[0051] Step S102: If the peak-shaving gap of new energy is not less than the preset threshold, determine the adjustment priority of each new energy power station based on the cumulative utilization rate of new energy, the planned power completion rate, the automatic generation control application indicators, the energy exchange participation indicators, and the energy storage utilization indicators of each new energy power station in the target province.

[0052] In cases where the peak-shaving shortfall of renewable energy sources is not less than a preset threshold, power system stability can be maintained by curtailing power to renewable energy power plants in the target province. This step involves first determining the regulation priority of renewable energy power plants, with those having higher priority being curtailed more frequently.

[0053] Specifically, the adjustment priority of each new energy power station can be determined based on multiple dimensions of consideration indicators. These dimensions may include, but are not limited to, the cumulative utilization rate of new energy, the planned power generation completion rate, automatic generation control application indicators, energy exchange participation indicators, and energy storage utilization indicators.

[0054] The cumulative utilization rate of new energy sources can be measured by the following indicators: the difference between the long-term wind / solar curtailment rate (e.g., within one year) of the new energy power plant and the assessment target, and the difference between the new energy utilization rate of the new energy power plant and the assessment target. The greater the difference between these two and the corresponding assessment targets, the lower the cumulative utilization rate of new energy sources. For example, the cumulative utilization rate of new energy sources can be expressed as:

[0055]

[0056] In the formula, This indicates the cumulative utilization rate of new energy at new energy power plants. This indicates the long-term wind / solar curtailment rate of renewable energy power plants. This represents the industry's benchmark value for power curtailment rate. This indicates the real-time utilization rate of new energy at the new energy power station. This indicates the annual target utilization rate of new energy at new energy power plants. , These are the weight parameters.

[0057] The indicators for the planned electricity generation completion rate can include the completion rate of medium- and long-term / spot planned electricity generation for renewable energy power plants and the contract fulfillment rate. The higher both are, the higher the planned electricity generation completion rate. For example, the planned electricity generation completion rate can be expressed as:

[0058]

[0059] In the formula, Indicates the planned electricity consumption completion rate. This represents the actual amount of electricity generated and fed into the grid by the renewable energy power plant. This indicates the planned electricity generation of new energy power plants. This indicates the volume of contracts fulfilled for new energy power plant transactions. This indicates the total volume of new energy power station transaction contracts. , These are the weight parameters.

[0060] Among them, the Automatic Generation Control (AGC) application index can be used to indicate the application status of the Automatic Generation Control (AGC) system in renewable energy power plants. The corresponding indicators for this dimension can include the AGC control closed-loop rate and the annual cumulative call duration of the renewable energy power plant; the higher both are, the higher the AGC application index. For example, the AGC application index can be expressed as:

[0061]

[0062] In the formula, This indicates the application indicators of automatic power generation control. This indicates the closed-loop control rate of AGC at the new energy power station. This indicates the annual cumulative usage time of the AGC system by the new energy power station. This indicates the maximum possible annual usage time of the AGC system at new energy power stations. , These are the weight parameters.

[0063] The energy exchange participation index can be used to indicate the participation of renewable energy power plants in energy exchange. The corresponding indicators for this dimension may include the frequency of real-time output reporting by the renewable energy power plants, the validity of their output reporting, and the activity level of energy exchange. For example, the energy exchange participation index can be expressed as:

[0064]

[0065] In the formula, Indicators of participation in energy exchange This indicates the number of times a new energy power station submits a real-time power output report. This indicates the maximum number of declarations allowed per day. This indicates the real-time transaction volume of electricity generated by new energy power plants. This indicates the total declared power output of the new energy power plants. This indicates the real-time energy exchange activity of new energy power plants. This represents the benchmark value for industry activity. , , These are the weight parameters.

[0066] Among them, the energy storage utilization index can be used to indicate the energy storage utilization status of new energy power stations. The corresponding indicators for this dimension can include energy storage configuration capacity, charging and discharging efficiency, and peak-shaving and frequency regulation contribution. For example, the energy storage utilization index can be expressed as:

[0067]

[0068] In the formula, Indicates energy storage utilization indicators, This indicates the real-time configuration of energy storage capacity at new energy power stations. Indicates the required energy storage capacity of the system. This indicates the real-time charging and discharging efficiency of new energy power stations. This indicates the peak-shaving contribution of power generation plants. This indicates the frequency regulation contribution of electricity from renewable energy power plants. This indicates the total power demand for system regulation. , , These are the weight parameters.

[0069] This involves collecting real-time operational data from various renewable energy power plants in the target province, including power generation, annual cumulative power generation, market-traded electricity volume, AGC application status, and energy storage system status. This data is used to calculate the cumulative renewable energy utilization rate, planned electricity generation completion rate, automatic generation control application indicators, energy exchange participation indicators, and energy storage utilization indicators for each power plant. These calculations are then fused using linear or nonlinear combinations and averaging methods to obtain the renewable energy curtailment assessment value for each power plant. The renewable energy curtailment assessment value for a power plant is positively correlated with its cumulative renewable energy utilization rate, planned electricity generation completion rate, automatic generation control application indicators, energy exchange participation indicators, and energy storage utilization indicators. Subsequently, the regulation priority of each renewable energy power plant can be determined based on its renewable energy curtailment assessment value, with power plants having lower assessment values ​​receiving higher regulation priority.

[0070] Step S103: Based on the peak-shaving gap of new energy sources, the power curtailment of each new energy power station is allocated according to the order of adjustment priority to obtain the power dispatching scheme of each new energy power station.

[0071] In this step, based on the peak-shaving gap of renewable energy in the target province, the power curtailment of each renewable energy power station is allocated sequentially according to its adjustment priority from high to low. For example, the allocation can begin with the renewable energy power station with the highest adjustment priority. Based on the preset curtailment rate and the station's predicted output, the allocated power curtailment is then calculated to determine if the allocated power curtailment has reached the required amount for the peak-shaving gap. If so, the allocation stops; otherwise, it proceeds to the next higher priority renewable energy power station, until the allocated power curtailment reaches the required amount for the peak-shaving gap, or all stations have been allocated power curtailment. Optionally, if all stations have been allocated power curtailment but the allocated power still does not reach the required amount for the peak-shaving gap, a new round of power curtailment allocation can begin again with the renewable energy power station with the highest adjustment priority.

[0072] After the allocation of abandoned power is completed, a power dispatch plan for each renewable energy power station can be obtained based on the amount of abandoned power allocated to each station. This power dispatch plan can include the power curtailment period, power curtailment plan, and power curtailment flag for each station.

[0073] Step S104: The power dispatching plan for each new energy power station is sent to the regional power dispatching entity in the region where the new energy power station is located. The regional power dispatching entity is responsible for dispatching each new energy power station in the region according to the power dispatching plan.

[0074] After obtaining the power dispatching plans for each new energy power station, these plans can be sent to the regional power dispatching entities in the areas where the new energy power stations are located. The regional power dispatching entities can then dispatch the new energy power stations in their respective regions according to the received power dispatching plans.

[0075] In the aforementioned provincial-regional collaborative new energy dispatching method, when the new energy peak-shaving gap in the target province is not less than a preset threshold, the adjustment priority of each new energy power station is determined by statistically analyzing multiple dimensions such as the cumulative utilization rate of new energy, the planned power completion rate, automatic generation control application indicators, energy exchange participation indicators, and energy storage utilization indicators of new energy power stations in each region of the province. This method can comprehensively consider the new energy power generation situation of different new energy power stations in the province in multiple dimensions to set the adjustment priority. Thus, the power curtailment of each new energy power station is allocated according to the priority, and the power dispatching scheme of each new energy power station is obtained. This method can achieve fair allocation of power curtailment among regions, which is conducive to the balanced distribution of new energy output in various regions of the province and improves the overall absorption efficiency of new energy in the power system.

[0076] In one exemplary embodiment, such as Figure 2 As shown, based on the peak-shaving gap of new energy sources, and in accordance with the order of adjustment priority, the abandoned power of each new energy power station is allocated to obtain the power dispatch scheme for each new energy power station, which may include:

[0077] Step S201: According to the order of adjustment priority, the power curtailment of each renewable energy power station is allocated based on the power curtailment parameters.

[0078] Specifically, in this embodiment, the abandoned power of each renewable energy power station can be allocated through multiple rounds of allocation. In this step, the abandoned power of each renewable energy power station can be allocated in the first round.

[0079] In the first round of allocation, the power curtailment of each renewable energy power station can be allocated sequentially according to its adjustment priority from high to low. After the allocation of power curtailment for each station is completed, it is determined whether the previously allocated power curtailment has reached the power curtailment required for the renewable energy peak-shaving gap. If so, it can be determined that the previously allocated power curtailment matches the renewable energy peak-shaving gap, and the allocation of power curtailment can be stopped and the process can proceed to step S203; otherwise, the allocation of power curtailment can continue to renewable energy power stations with the next adjustment priority until the allocated power curtailment matches the renewable energy peak-shaving gap, or until the allocation of power curtailment for the renewable energy power stations with the lowest adjustment priority has been completed.

[0080] If the first round of allocation has been completed, but the amount of abandoned electricity allocated to each renewable energy power station does not match the renewable energy peak-shaving gap, the process can proceed to step S202.

[0081] Step S202: If the amount of abandoned power allocated to each renewable energy power station does not match the renewable energy peak shaving gap, update the power curtailment parameters. Based on the updated power curtailment parameters, perform the step of allocating the abandoned power to each renewable energy power station according to the order of adjustment priority and the power curtailment parameters, until the amount of abandoned power allocated to each renewable energy power station matches the renewable energy peak shaving gap, or the number of allocation rounds reaches the preset upper limit.

[0082] In cases where the previous round of allocation has been completed, but the allocated curtailed power to each renewable energy power station does not match the renewable energy peak-shaving gap, the curtailment parameters can be updated. Then, step S201 is executed again based on the updated curtailment parameters to initiate a new round of allocation for the peak-shaving gap. When the allocated curtailed power matches the renewable energy peak-shaving gap, or when the number of rounds of curtailed power allocation has reached the preset upper limit, the allocation process can end and proceed to step S203.

[0083] Step S203: Obtain the power dispatching scheme based on the abandoned power allocated to each new energy power station.

[0084] Among them, the power dispatch scheme of each new energy power station can be obtained based on the amount of abandoned electricity allocated to each new energy power station in the current allocation round.

[0085] In this embodiment, by updating the curtailment parameters and initiating a new round of curtailment allocation when the first round of curtailment allocation fails to meet the peak-shaving gap of new energy sources, the efficiency and fairness of curtailment allocation can be improved, which is conducive to obtaining a more reasonable power dispatch scheme.

[0086] In an exemplary embodiment, the curtailment parameters include the curtailment rate corresponding to each allocation round; the curtailment rate increases with the increase of the allocation round; the curtailment of each renewable energy power station is allocated according to the curtailment parameters in the order of adjustment priority, which may include: in the order of adjustment priority, according to the curtailment rate of the current allocation round and the predicted output value of each renewable energy power station, the curtailment of each renewable energy power station is allocated sequentially until the curtailment of each renewable energy power station matches the renewable energy peak-shaving gap, or the curtailment of all renewable energy power stations is completed.

[0087] Specifically, before allocating the curtailed power, an upper limit for the number of allocation rounds can be set, and a corresponding curtailment rate can be set for each allocation round. The round curtailment rate indicates the proportion of power curtailed from renewable energy plants in that round. For example, assuming a renewable energy plant's predicted output is P and the current round curtailment rate is N, the curtailed power allocated to that renewable energy plant in that round can be expressed as: .

[0088] The curtailment rate for each allocation round can increase with the number of allocation rounds. For example, assuming the upper limit of the allocation rounds is 3, the relationship between the curtailment rates of each round can be expressed as follows: ,in , , The curtailment rates for the first, second, and third allocation rounds are listed sequentially. Within each allocation round, the curtailment rate corresponding to that round and the predicted output value of each renewable energy power station are used to allocate the curtailed electricity to each station. For example, assuming the predicted output value of a renewable energy power station is P, the curtailed electricity allocated to that station in the i-th allocation round can be expressed as: .

[0089] Understandably, in each allocation round, if the amount of abandoned power allocated to each renewable energy power station already matches the renewable energy peak-shaving gap after the allocation of abandoned power to the renewable energy power stations with the current adjustment priority is completed, then the allocation for the current round can be stopped, and there is no need to execute the allocation for subsequent rounds. However, if the amount of abandoned power allocated to each renewable energy power station still does not match the renewable energy peak-shaving gap after the allocation of abandoned power to the renewable energy power stations with the lowest adjustment priority is completed in the current allocation round, and the current allocation round is not the last allocation round, then the allocation of abandoned power for the next round can begin.

[0090] In this embodiment, by setting different round curtailment rates for each allocation round and reducing the round curtailment rate as the allocation round increases, a more refined allocation of curtailed power can be achieved, which is beneficial to improving the accuracy of scheduling.

[0091] In an exemplary embodiment, the power curtailment of each renewable energy power station is allocated sequentially according to the curtailment rate of the current allocation round and the predicted output value of each renewable energy power station, in accordance with the order of adjustment priority. This may include: calculating the curtailed output value and the curtailed power volume of the renewable energy power station based on the curtailment rate of the current allocation round and the predicted output value of the renewable energy power station; if the curtailed output value is less than the minimum output limit of the renewable energy power station, or if the curtailed power volume is less than the minimum curtailed power volume, then the allocation of curtailed power volume to the renewable energy power station is skipped.

[0092] Specifically, when allocating abandoned electricity, a minimum amount of abandoned electricity and a minimum output limit for renewable energy power plants can be set. The minimum amount of abandoned electricity can indicate the minimum amount of abandoned electricity that needs to be allocated to a renewable energy power plant in each round of allocation, and the minimum output limit can be the minimum output value of the renewable energy power plant.

[0093] In allocating curtailed power, the curtailment output and curtailed power of renewable energy power plants can be calculated based on the current curtailment rate and the predicted output of the power plants. For example, assuming the predicted output of a renewable energy power plant is P, and the curtailment rate for the current cycle (cycle i) is... The amount of abandoned electricity allocated to the renewable energy power station in this cycle can be expressed as: The power output value of renewable energy power plants can be expressed as: If a power distribution allocation to a particular renewable energy power station is skipped in a certain round of allocation, then the abandoned power allocated to that renewable energy power station in that round will be considered as such. It is 0.

[0094] In the process of allocating the curtailed power to each renewable energy power station, the curtailed output value and the curtailed power can be calculated first. The curtailed output value is compared with the minimum output limit of the renewable energy power station, and the curtailed power is compared with the minimum curtailed power. If at least one of them is less than the set value, the power station is skipped and the curtailed power is allocated to the next ranked power station.

[0095] For example, with an upper limit of 3 allocation rounds, a curtailment rate of 50% in the first allocation round, 80% in the second allocation round, and 95% in the third allocation round, a minimum curtailment rate of 5MW, and a minimum output limit of 5MW, the curtailment allocation process of two new energy power plants with predicted output values ​​of 10MW and 30MW in the target province in each allocation round can be shown in Table 1.

[0096] Table 1

[0097]

[0098] In this embodiment, by setting minimum curtailment and minimum output limits, and checking whether the power curtailment output and curtailment of each new energy power station are less than the set values ​​after the curtailment is allocated, the safe operation of new energy power stations can be guaranteed while power dispatching is in place, and inefficient allocation of curtailment can be avoided, which is conducive to improving the overall efficiency and safety of dispatching.

[0099] In an exemplary embodiment, when the amount of abandoned power allocated to each renewable energy power station does not match the renewable energy peak-shaving gap, the step of allocating abandoned power to each renewable energy power station according to the power curtailment parameters in the order of adjustment priority may include: updating the adjustment priority of each renewable energy power station based on the real-time status data of each renewable energy power station when the amount of abandoned power allocated to each renewable energy power station does not match the renewable energy peak-shaving gap; and, based on the updated adjustment priority, allocating abandoned power to each renewable energy power station according to the power curtailment parameters in the order of adjustment priority.

[0100] If, after the first round of power curtailment allocation, the allocated power curtailment for each renewable energy power station does not match the peak-shaving gap of renewable energy, a new round of power curtailment allocation can be carried out. Before the start of the next allocation round, the adjustment priority of each renewable energy power station can be updated, and then the power curtailment allocation can be carried out according to the updated adjustment priority.

[0101] Specifically, real-time data can be collected on parameters such as power generation, annual cumulative power generation, market-traded electricity volume, AGC application status, and energy storage system status of each renewable energy power station within the target province / region to obtain real-time status data for each station. This data can then be used to calculate the cumulative utilization rate of renewable energy, planned electricity generation completion rate, automatic generation control application indicators, energy exchange participation indicators, and energy storage utilization indicators for each power station. Based on these indicators, a new regulation priority for each renewable energy power station can be determined. Finally, following the updated regulation priority, the abandoned electricity volume can be allocated to each renewable energy power station according to the curtailment parameters.

[0102] In this embodiment, by updating the scheduling priority of each new energy power station before each round of allocation, it is possible to effectively adapt to the fluctuating and random characteristics of new energy in the power system, which is conducive to making the distribution of new energy output in various regions within the province more balanced.

[0103] In an exemplary embodiment, the adjustment priority of each new energy power station is determined based on its cumulative utilization rate of new energy, planned power completion rate, automatic generation control application indicators, energy exchange participation indicators, and energy storage utilization indicators. This can include: weighting and integrating the cumulative utilization rate of new energy, planned power completion rate, automatic generation control application indicators, energy exchange participation indicators, and energy storage utilization indicators of each new energy power station to obtain the corresponding new energy curtailment assessment value for each new energy power station; and determining the adjustment priority of each new energy power station from high to low according to the new energy curtailment assessment values ​​from low to high.

[0104] In this embodiment, the cumulative utilization rate of new energy at each new energy power station can be used as a basis. Planned electricity consumption completion rate Automatic power generation control application indicators Energy exchange participation indicators Energy storage utilization indicators The renewable energy curtailment assessment value for each renewable energy power station is obtained through a weighted fusion method. For example, the renewable energy curtailment assessment value for each renewable energy power station can be expressed as:

[0105]

[0106] In the formula, S represents the assessment value of new energy power curtailment. This represents the weight value of the i-th dimension. This represents the rating value for the i-th dimension. For example, , , , , They can be set to 0.15, 0.20, 0.25, 0.20, and 0.20 respectively.

[0107] Among them, each new energy power station can be sorted from low to high according to its new energy curtailment assessment value S, and the new energy power station ranked higher corresponds to a higher regulation priority.

[0108] In this embodiment, by weighting and integrating the cumulative utilization rate of new energy, planned power completion rate, automatic generation control application indicators, energy exchange participation indicators, and energy storage utilization indicators of each new energy power station, the indicator information of new energy power stations in different dimensions can be comprehensively obtained to obtain a new energy curtailment assessment value that can fully reflect the long-term new energy contribution of new energy power stations to the power system. Then, the curtailment priority of each new energy power station can be ranked using this assessment value, so that new energy power stations with smaller contributions are given priority for curtailment, thereby achieving a fair distribution of curtailed power among regions.

[0109] In one exemplary embodiment, such as Figure 3 As shown, a provincial-local collaborative new energy dispatching method is provided, including the following steps:

[0110] Step S301: Calculate the peak-shaving gap of new energy in the target province every preset time interval (e.g., 15 minutes), and determine whether the peak-shaving gap has reached the set threshold. If it has, proceed to the next step.

[0111] Step S302: Based on the cumulative utilization rate of new energy, the planned power generation completion rate, the automatic generation control application indicators, the energy exchange participation indicators, and the energy storage utilization indicators of each new energy power station in the target province, determine the adjustment priority of each new energy power station.

[0112] Step S303: Based on the peak-shaving gap of new energy sources, the power curtailment of each new energy power station is allocated according to the order of adjustment priority, so as to obtain the power dispatch plan of each new energy power station and form a power curtailment document.

[0113] Step S304: The power curtailment document is simultaneously sent to the planned value module and AGC module of the central power dispatching body (Central Dispatch) and the power dispatching bodies (Regional Dispatch) of each region to carry out coordinated power curtailment of provincial and local new energy sources, ensuring that new energy sources in the province participate fairly in peak shaving and power curtailment.

[0114] Step S305: Monitor the power generation, abandoned power, and grid operation status of each new energy power station in the target province in real time, update the relevant data, and return to step S301.

[0115] The provincial-local collaborative new energy dispatching method described in this embodiment can be achieved through, for example... Figure 4 The automatic dispatching system for new energy shown can be executed by a data acquisition module, a peak-shaving gap calculation module, a comprehensive evaluation module, a curtailment dispatching decision module, a dispatching execution and monitoring module, and a human-computer interaction and visualization display module.

[0116] The data acquisition module is used to collect real-time operational data from various new energy power plants, including power generation, annual cumulative power generation, market-traded electricity volume, AGC application status, energy storage system status, and other information. It also collects grid load data, peak-shaving resources, and other information to provide basic data support for power curtailment dispatch decisions.

[0117] The peak-shaving gap calculation module is used to calculate the peak-shaving gap for different time periods and determine the time range and scale of power curtailment that need to be implemented. When the calculated renewable energy peak-shaving gap reaches a set threshold, the comprehensive evaluation module can be activated, and the renewable energy peak-shaving gap can be sent to the power curtailment decision module to provide it with decision-making requirements.

[0118] The comprehensive evaluation module, when activated by the peak-shaving gap calculation module, uses data acquired by the data acquisition module to quantitatively evaluate the performance of new energy power plants in five dimensions: cumulative utilization rate of new energy, planned power completion rate, automatic generation control application indicators, energy exchange participation indicators, and energy storage utilization indicators, based on preset evaluation rules and weights. It calculates the new energy curtailment evaluation value for each new energy power plant, providing data basis for determining the curtailment order.

[0119] The curtailment dispatch decision module is used to determine the adjustment priority of each renewable energy power station in order of increasing renewable energy curtailment assessment value, allocate the curtailed power of each renewable energy power station in combination with the renewable energy peak shaving gap, formulate specific power dispatch plans, and generate curtailment documents.

[0120] The dispatch execution and monitoring module synchronously sends the power curtailment documents to the central power dispatching body and the planned values ​​and AGC modules of various regional power dispatching bodies, monitors the execution status of new energy power plants in real time, conducts coordinated and fair curtailment of new energy in provinces and regions, and adjusts the dispatch plan in a timely manner according to changes in the grid operation status.

[0121] The human-computer interaction and visualization module provides a human-computer interaction interface to display key data and information such as the power system operation status, peak-shaving gap prediction results, new energy power plant operation information, and power dispatching schemes, presented in various visualization forms such as graphics, charts, and reports.

[0122] The human-computer interaction and visualization module allows users to adjust the allocation method of abandoned power in the abandoned power dispatch decision module. Adjustable data includes the minimum abandoned power, minimum output limit, upper limit of allocation rounds, and the abandoned power rate of each allocation round. When the peak-shaving gap is large, and users need more refined and wider-ranging dispatch, they can adjust the abandoned power allocation method through the human-computer interaction and visualization module. For example, the minimum abandoned power and minimum output limit can be lowered, and the upper limit of allocation rounds can be raised. Optionally, the automatic renewable energy dispatch system can set default values ​​for parameters such as the minimum abandoned power, minimum output limit, upper limit of allocation rounds, and abandoned power rate of each allocation round. Users can adjust these parameters according to the specific size of the peak-shaving gap to achieve more refined allocation operations.

[0123] Specifically, the curtailment dispatch decision module can allocate curtailment power to each renewable energy power plant in multiple rounds based on parameters such as minimum curtailment amount, minimum output limit, upper limit of allocation rounds, and curtailment rate of each allocation round. The allocation process for each allocation round can be as follows: Figure 5 As shown in the diagram. In each allocation round, the power curtailment of renewable energy power plants is allocated first, prioritizing those plants based on their adjustment priority. The curtailment rate and predicted output of each power plant in the current round are used to determine its curtailment and curtailment output. It is then determined whether the allocated curtailment is less than the minimum curtailment amount and whether the curtailment output is less than the minimum output limit. If at least one of these is less than a set value, the power plant is skipped, and allocation proceeds to the next plant in the priority order, until the renewable energy peak-shaving gap is fully allocated (i.e., the allocated curtailment matches the renewable energy peak-shaving gap). If the process has reached the renewable energy power plant with the lowest adjustment priority, but the renewable energy peak-shaving gap is still not fully allocated, and the current allocation round has not reached its maximum, the adjustment priority of each renewable energy power plant can be updated based on its real-time status data, and the next round of power curtailment allocation can proceed according to this priority order.

[0124] For example, taking an allocation round limit of 4, with a curtailment rate of 50% in the first allocation round, 60% in the second allocation round, 80% in the third allocation round, and 95% in the fourth allocation round, and a minimum curtailment rate of 4MW and a minimum output limit of 4MW as an example, the data for two new energy power plants with predicted output values ​​of 10MW and 30MW in the target province in each allocation round can be shown in Table 2.

[0125] Table 2

[0126]

[0127] In this embodiment, the coordinated curtailment of renewable energy across the province ensures fair participation of renewable energy in peak shaving and curtailment. Through optimized dispatching decisions and real-time monitoring of grid operation, efficient absorption and optimized dispatching of renewable energy within the grid are achieved, while ensuring a stable and reliable power supply even under complex and variable operating environments. Adjustments to various parameters during the dispatching process ensure the applicability of the dispatching scheme, increase the upper and lower limits of peak shaving, and better adapt to various complex environments.

[0128] 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 in other steps. It is understood that the steps in different embodiments can be freely combined as needed, and all non-contradictory solutions formed by such combinations are within the scope of protection of this application.

[0129] Based on the same inventive concept, this application also provides a provincial-level coordinated new energy dispatching device for implementing the provincial-level coordinated new energy dispatching method described above. The solution provided by this device is similar to the solution described in the above method. Therefore, the specific limitations of one or more provincial-level coordinated new energy dispatching device embodiments provided below can be found in the limitations of the provincial-level coordinated new energy dispatching method described above, and will not be repeated here.

[0130] In one exemplary embodiment, such as Figure 6As shown, a provincial-local collaborative new energy dispatching device is provided, comprising:

[0131] The peak-shaving gap acquisition module 601 is used to acquire the new energy peak-shaving gap of the target province.

[0132] The priority acquisition module 602 is used to determine the adjustment priority of each new energy power station based on the cumulative utilization rate of new energy, the planned power completion rate, the automatic generation control application index, the energy exchange participation index, and the energy storage utilization index of each new energy power station in the target province when the new energy peak-shaving gap is not less than a preset threshold.

[0133] The power curtailment allocation module 603 is used to allocate the curtailed power to each of the new energy power plants according to the new energy peak-shaving gap and the order of the adjustment priority, so as to obtain the power dispatching scheme of each of the new energy power plants.

[0134] The scheme sending module 604 is used to send the power dispatch scheme of each of the new energy power stations to the regional power dispatching entity of the region where the new energy power station is located; the regional power dispatching entity is used to dispatch each of the new energy power stations in the region according to the power dispatch scheme.

[0135] In an exemplary embodiment, the power curtailment allocation module 603 is configured to: allocate the curtailed power to each of the renewable energy power plants according to the order of adjustment priority and based on the power curtailment parameters; if the curtailed power allocated to each of the renewable energy power plants does not match the renewable energy peak-shaving gap, update the power curtailment parameters; and, based on the updated power curtailment parameters, execute the step of allocating the curtailed power to each of the renewable energy power plants according to the order of adjustment priority and based on the power curtailment parameters, until the curtailed power allocated to each of the renewable energy power plants matches the renewable energy peak-shaving gap, or the number of allocation rounds reaches a preset upper limit; and obtain the power dispatch scheme based on the curtailed power allocated to each of the renewable energy power plants.

[0136] In an exemplary embodiment, the power curtailment parameters include a curtailment rate corresponding to each allocation round; the curtailment rate increases as the allocation round increases; the power curtailment allocation module 603 is configured to: allocate the curtailed power to each of the renewable energy power plants sequentially according to the order of the adjustment priority, based on the curtailment rate of the current allocation round and the predicted output value of each renewable energy power plant, until the allocated curtailed power to each renewable energy power plant matches the renewable energy peak-shaving gap, or to complete the allocation of curtailed power to all renewable energy power plants.

[0137] In an exemplary embodiment, the power curtailment allocation module 603 is configured to: calculate the power curtailment output value and the amount of power curtailed at the new energy power station based on the curtailment rate of the current cycle and the predicted output value of the new energy power station; and skip the allocation of power curtailment to the new energy power station if the power curtailment output value is less than the minimum output limit of the new energy power station, or if the amount of power curtailed is less than the minimum amount of power curtailed.

[0138] In an exemplary embodiment, the power curtailment allocation module 603 is configured to: update the adjustment priority of each of the new energy power stations based on the real-time status data of each of the new energy power stations; and, based on the updated adjustment priority, execute the step of allocating the curtailed power to each of the new energy power stations according to the order of the adjustment priority and the power curtailment parameters.

[0139] In an exemplary embodiment, the priority acquisition module 602 is used to: perform weighted fusion of the cumulative utilization rate of new energy, the planned power completion rate, the automatic power generation control application index, the energy exchange participation index and the energy storage utilization index of each new energy power station to obtain the new energy curtailment assessment value corresponding to each new energy power station; and determine the adjustment priority of each new energy power station from high to low according to the new energy curtailment assessment value from low to high.

[0140] Each module in the aforementioned provincial-local collaborative new energy dispatching device can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device, or stored in the memory of a computer device as software, so that the processor can call and execute the corresponding operations of each module.

[0141] In one exemplary embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as follows: Figure 7As shown, this computer device includes a processor, memory, input / output (I / O) interfaces, and a communication interface. The processor, memory, and I / O interfaces are connected via a system bus, and the communication interface is also connected to the system bus via the I / O interfaces. The processor provides computational and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system, computer programs, and a database. The internal memory provides the environment for the operating system and computer programs stored in the non-volatile storage media. The database stores data such as the peak-shaving gap of new energy in the target province, the cumulative utilization rate of new energy at each new energy power station, the planned power generation completion rate, automatic generation control application indicators, energy exchange participation indicators, and energy storage utilization indicators. The I / O interfaces are used for information exchange between the processor and external devices. The communication interface is used for communication with external terminals via a network connection. When the computer program is executed by the processor, it implements a province-wide coordinated new energy dispatching method.

[0142] Those skilled in the art will understand that Figure 7 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0143] In one embodiment, a computer device is also provided, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps in the above method embodiments.

[0144] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon that, when executed by a processor, implements the steps in the above method embodiments.

[0145] In one embodiment, a computer program product is provided, including a computer program that, when executed by a processor, implements the steps in the above method embodiments.

[0146] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, data stored, data displayed, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of the relevant data must comply with relevant regulations.

[0147] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM). The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, artificial intelligence (AI) processors, etc., and are not limited to these.

[0148] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0149] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of this patent application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this application should be determined by the appended claims.

Claims

1. A provincial-local collaborative new energy dispatching method, characterized in that, The method includes: To identify the peak-shaving gap of new energy sources in the target provinces and regions; When the peak-shaving gap of new energy is not less than a preset threshold, the adjustment priority of each new energy power station is determined based on the cumulative utilization rate of new energy, the planned power completion rate, the automatic generation control application index, the energy exchange participation index, and the energy storage utilization index of each new energy power station in the target province. Based on the new energy peak-shaving gap, and in accordance with the order of adjustment priority, the abandoned power of each new energy power station is allocated to obtain the power dispatch scheme of each new energy power station. The power dispatching schemes for each of the new energy power plants are sent to the regional power dispatching entity in the region where the new energy power plants are located; the regional power dispatching entity is used to dispatch each of the new energy power plants in the region according to the power dispatching schemes.

2. The method according to claim 1, characterized in that, The step of allocating the abandoned power to each of the renewable energy power plants according to the renewable energy peak-shaving gap and the order of adjustment priority, to obtain the power dispatch scheme for each of the renewable energy power plants, includes: According to the order of adjustment priority, the power curtailment of each of the new energy power plants is allocated based on the power curtailment parameters; If the amount of abandoned power allocated to each of the new energy power plants does not match the new energy peak shaving gap, the power curtailment parameters are updated. Based on the updated power curtailment parameters, the step of allocating abandoned power to each of the new energy power plants according to the power curtailment parameters in the order of adjustment priority is executed until the amount of abandoned power allocated to each of the new energy power plants matches the new energy peak shaving gap, or the number of allocation rounds reaches a preset upper limit. The power dispatch scheme is obtained based on the abandoned power allocated to each of the aforementioned new energy power stations.

3. The method according to claim 2, characterized in that, The power curtailment parameters include the curtailment rate corresponding to each allocation round; the curtailment rate increases as the allocation round increases; The allocation of abandoned power to each of the renewable energy power plants according to the order of the adjustment priority and based on the power curtailment parameters includes: According to the order of the adjustment priority, based on the curtailment rate of the current allocation round and the predicted output value of each of the new energy power stations, the curtailment of each new energy power station is allocated sequentially until the curtailment allocated to each new energy power station matches the new energy peak-shaving gap, or the curtailment of all new energy power stations is completed.

4. The method according to claim 3, characterized in that, The step of allocating the curtailed power to each of the renewable energy power plants in sequence according to the adjustment priority, based on the curtailment rate of the current allocation round and the predicted output value of each renewable energy power plant, includes: Based on the curtailment rate of the aforementioned cycle and the predicted output of the renewable energy power station, calculate the curtailment output and curtailment volume of the renewable energy power station; If the power curtailment output is less than the minimum output limit of the renewable energy power station, or if the amount of power curtailed is less than the minimum amount of power curtailed, the allocation of power curtailment to the renewable energy power station shall be skipped.

5. The method according to claim 2, characterized in that, When the amount of abandoned power allocated to each of the renewable energy power plants does not match the renewable energy peak-shaving gap, the step of allocating the abandoned power to each of the renewable energy power plants according to the order of adjustment priority and based on the power curtailment parameters includes: If the amount of abandoned electricity allocated to each of the new energy power plants does not match the peak-shaving gap of new energy, the adjustment priority of each of the new energy power plants shall be updated according to the real-time status data of each of the new energy power plants. Based on the updated adjustment priority, the step of allocating the abandoned power to each of the renewable energy power plants according to the power curtailment parameters in the order of the adjustment priority is executed.

6. The method according to any one of claims 1 to 5, characterized in that, The step of determining the adjustment priority of each new energy power station based on its cumulative utilization rate of new energy, planned power generation completion rate, automatic generation control application indicators, energy exchange participation indicators, and energy storage utilization indicators in the target province includes: The cumulative utilization rate of new energy, the planned power completion rate, the automatic power generation control application index, the energy exchange participation index and the energy storage utilization index of each new energy power station are weighted and integrated to obtain the new energy curtailment assessment value corresponding to each new energy power station. Based on the renewable energy power curtailment assessment values ​​from low to high, the adjustment priority of each renewable energy power station is determined from high to low.

7. A provincial-local collaborative new energy dispatching device, characterized in that, The device includes: The peak-shaving gap acquisition module is used to acquire the new energy peak-shaving gap in the target province. The priority acquisition module is used to determine the adjustment priority of each new energy power station in the target province based on the cumulative utilization rate of new energy, the planned power completion rate, the automatic generation control application index, the energy exchange participation index, and the energy storage utilization index of each new energy power station, when the new energy peak-shaving gap is not less than a preset threshold. The power curtailment allocation module is used to allocate the curtailed power to each of the new energy power plants according to the new energy peak-shaving gap and the order of the adjustment priority, so as to obtain the power dispatching scheme of each of the new energy power plants. The scheme sending module is used to send the power dispatch scheme of each of the new energy power stations to the regional power dispatching entity of the region where the new energy power station is located; the regional power dispatching entity is used to dispatch each of the new energy power stations in the region according to the power dispatch scheme.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 6.

10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 6.

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