A wide-area source storage real-time control method and system adaptive to frequency modulation out of clear results

Abstract

This invention discloses a wide-area source-storage active power real-time control method and system adapted to frequency regulation clearing results. When the system receives a request for renewable energy power regulation from the entire network or when the power flow of a controlled section exceeds its limit, it acquires the current network-wide operating data, determines the set of controlled renewable energy power plants, the set of frequency regulation winning bidders, and the set of operating constraints; calculates the required renewable energy power regulation for the entire network; filters out the set of associated power plants and calculates their overall control commands; after ensuring that the safety margin of each constraint meets the requirements, commands are allocated to power plants not associated with key constraints; if energy storage is configured within the power plant, the overall command is decomposed into renewable energy unit commands and energy storage charging commands according to the principle of maximizing renewable energy absorption; finally, the control commands are sent to each renewable energy power plant and its supporting energy storage system to execute active power control. This invention achieves synergy between frequency regulation market execution and real-time grid security control, improving renewable energy absorption capacity and system operation economy.

Description

Technical Field

[0001] This invention relates to a wide-area source-storage active power real-time control method and system adapted to frequency regulation clearing results, belonging to the field of power grid dispatching, operation and control technology. Background Technology

[0002] With the rapid increase in the proportion of renewable energy generation capacity in the power grid, the randomness and volatility of its output pose severe challenges to the real-time power balance and frequency stability of the power system. Against this backdrop, power system operation must simultaneously consider both safety and the market. On the one hand, grid dispatching agencies need to implement active power control under safety constraints on all controllable resources (including renewable energy and its supporting energy storage) based on real-time operating conditions and system regulation needs to ensure the safe operation of the power grid. On the other hand, with the establishment of electricity markets such as the frequency regulation ancillary service market, many provinces currently participate in the electricity market as whole renewable energy plants. Renewable energy plants that have won bids in the frequency regulation market should be prioritized for use in actual operation to ensure the authority of the market and the effectiveness of economic signals. Simultaneously, during real-time control, renewable energy and energy storage commands are issued independently. To fully tap the potential of renewable energy generation, it is necessary to utilize supporting energy storage for coordinated consumption.

[0003] Patent CN117117869A, "A Provincial-Level Two-Tier Active Power Coordination Control Method and System with High Proportion of Distributed Energy," proposes a multi-level coordinated dispatch method on the master station side, focusing on ensuring the physical security of the power grid. However, when generating control commands, this method has not fully integrated the clearing results of the frequency regulation ancillary service market to prioritize the execution of the awarded capacity; at the same time, when handling the system's downsizing demand, it has failed to effectively design the use of the charging capacity of the supporting energy storage within the new energy power stations for coordinated absorption.

[0004] This reflects a common challenge in current renewable energy frequency regulation control strategies: existing methods are insufficient in organically integrating market mechanisms with real-time safety regulation, which may affect the enthusiasm of market players, or lead to power curtailment due to direct reduction of renewable energy output when the system needs to be downgraded, thus failing to fully utilize the synergistic absorption potential of distribution and storage. Summary of the Invention

[0005] Objective: In order to overcome the shortcomings of the existing technology, the present invention provides a wide-area source-storage active power real-time control method and system that adapts to the frequency regulation clearing results. On the basis of ensuring the safe operation of the power grid and the effective execution of the frequency regulation ancillary service market, it further utilizes the energy storage collaborative absorption potential configured in the new energy power station to enhance the instantaneous absorption capacity of new energy.

[0006] Technical solution: To solve the above technical problems, the technical solution adopted by the present invention is as follows:

[0007] Firstly, a wide-area source-storage active power real-time control method adapted to the effective execution of frequency regulation clearing results specifically includes:

[0008] Step 1: When a request for power regulation from renewable energy sources across the entire network is received, or when a controlled section experiences a power flow exceeding its limit, obtain the current network-wide operating data to determine the current number of controlled renewable energy power stations across the entire network. Frequency modulation won the bid for new energy power station collection and the entire network operation constraint set and calculate The real-time adjustment capabilities of various new energy power stations in China.

[0009] Step 2: Calculate the entire network's operational constraint set The current operational safety margin of each constraint is determined. If the current operational safety margin meets the safety margin condition, then the constraint is considered a critical constraint and is added to the critical constraint set. Take the key constraint set The key constraint corresponding to the minimum safety margin is used to calculate the total new energy power regulation of the entire network.

[0010] Step 3: Calculate the total number of controlled renewable energy power stations across the entire network For the key constraint set The active power sensitivity is set; if the active power sensitivity exceeds a set threshold, the renewable energy power station will be included in the associated renewable energy power station set. .

[0011] Step 4: Calculate the set of associated new energy power stations based on the real-time regulation capacity of each new energy power station and the total new energy power regulation of the entire network. The overall command for each new energy power station in China.

[0012] Step 5: Retrieve the entire network's operational constraint set The safety margin of each constraint is determined; if the safety margin condition is not met, the critical constraint set is updated. The power output of the China New Energy power station is the current power flow and returns to step 2.

[0013] Optionally, step 2 may further include: if the current operating safety margin does not meet the safety margin condition, then proceed to step 6.

[0014] Step 5 further includes: if the safety margin condition is met, proceed to step 6.

[0015] Step 6: Calculate the final overall command for unrelated power stations and directly participate in command issuance. Search the entire network of new energy power stations. If on-site energy storage is configured, proceed to Step 7; otherwise, proceed to Step 8.

[0016] Step 7: Calculate the decomposition instructions of new energy and energy storage within the station to maximize the absorption of new energy.

[0017] Step 8: Issue control instructions to each new energy source and its distribution and storage to the new energy power station for active power control. After completion, enter the next round of control waiting cycle.

[0018] Optionally, the expression for the real-time adjustment capability of each new energy power station is as follows:

[0019]

[0020] in, , They are respectively new energy power stations The current upward and downward adjustment capabilities. , They are new energy power stations Active power output and grid-connected capacity , They are respectively new energy power stations Active power up-rate and down-rate, and They are respectively new energy power stations Output upper limit and output lower limit, This refers to the instruction issuance cycle.

[0021] Optionally, the expression for the operational safety margin is as follows:

[0022]

[0023] in, Constraints for the entire network operation The current trend Constraints for the entire network operation The limit, Constraints for the entire network operation The current operational safety margin.

[0024] The expression for the safety margin condition is as follows:

[0025]

[0026] in, This is the safety margin threshold.

[0027] The total network new energy power regulation The expression is as follows:

[0028]

[0029] in, , These are the current power flow and quota for the key constraint, respectively. For various new energy power stations Key constraints Active sensitivity, Constraints for the entire network operation Influencing factors.

[0030] Optionally, the associated set of new energy power stations Complete station instructions for various new energy power plants in China The expression is as follows:

[0031]

[0032] in, For new energy power stations The current output, This refers to the total power regulation of new energy sources across the entire network. For new energy power stations The allocation amount in the first phase. For the collection of related new energy power stations The remaining new energy power stations The allocation amount in the second phase.

[0033] Optionally, the new energy power station Allocation amount in the first phase The expression is as follows:

[0034]

[0035] in, For new energy power stations The clearing plan value, , They are respectively new energy power stations Its real-time adjustment capability and frequency modulation winning bid capacity.

[0036] The associated new energy power station collection The remaining new energy power stations Allocation amount in the second phase The expression is as follows:

[0037]

[0038] in, The remaining unidirectional available regulating capacity at each station. This is for the remaining adjustment demand.

[0039] Optionally, the remaining adjustment demand The expression is as follows:

[0040]

[0041] in, For various new energy power stations Key constraints Active sensitivity.

[0042] Optionally, the new energy power station Real-time adjustment capability The following conditions must be met:

[0043]

[0044] in, , They are respectively new energy power stations The current upward and downward adjustment capabilities.

[0045] Optionally, the final station-wide instruction for the unrelated stations. The expression is as follows:

[0046]

[0047] in, For new energy power stations Available power.

[0048] Optionally, the decomposition instructions for new energy and energy storage within the station include: supporting energy storage charging instructions. General instructions for new energy units within new energy power stations The expression is as follows:

[0049]

[0050] in, This represents the maximum charging power of the energy storage system currently in operation. For new energy power stations Available power, For new energy power stations The current output, This refers to the overall command for each new energy power station.

[0051] In a second aspect, a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements a wide-area source-storage active power real-time control method adapted to frequency modulation clearing results as described in any of the first aspects.

[0052] Thirdly, a computer device comprising:

[0053] Memory is used to store instructions.

[0054] A processor is configured to execute the instructions, causing the computer device to perform operations of a wide-area source-storage active power real-time control method adapted to frequency modulation clearing results as described in any of the first aspects.

[0055] Beneficial Effects: This invention provides a wide-area source-storage active power real-time control method and system adapted to frequency regulation clearing results. The method includes the following steps: When the system receives a request for power regulation of renewable energy across the entire network or when the power flow of a controlled section exceeds the limit, it acquires the current network-wide operating data, determines the set of controlled renewable energy power plants, the set of frequency regulation winning power plants, and the set of operating constraints, and calculates the real-time regulation capability of each power plant; based on the safety margin of the operating constraints, it determines whether there are critical constraints, and if so, calculates the required renewable energy power regulation amount for the entire network; further calculates the active power sensitivity of each renewable energy power plant to the critical constraints, filters out the set of associated power plants, and calculates its overall station control instructions; after ensuring that the safety margin of each constraint meets the requirements, it allocates instructions to power plants that are not associated with the critical constraints; if energy storage is configured in the power plant, it decomposes the overall station instructions into renewable energy unit instructions and energy storage charging instructions according to the principle of maximizing renewable energy consumption; finally, it sends the control instructions to each renewable energy power plant and its supporting energy storage system to execute active power control, and enters the next cycle after completing this round of regulation. This method achieves coordination between frequency regulation market execution and real-time grid security control, improving the renewable energy absorption capacity and the economic efficiency of system operation. Compared with existing technologies, the beneficial effects achieved by this invention are:

[0056] 1. This invention accurately selects power plants to participate in regulation by calculating the active power sensitivity of new energy power plants to key monitoring sections, and generates instructions in stages based on the frequency regulation market clearing results. When responding to system power regulation needs, this invention ensures both the physical operational safety of the power grid and prioritizes the effective execution of the winning bid capacity in the frequency regulation ancillary services market, thus solving the problem of the disconnect between market clearing results and real-time control.

[0057] 2. In the first stage, this invention prioritizes and ensures the execution of the frequency modulation market's winning bid capacity, thereby improving the economy of frequency modulation resource utilization and the enthusiasm of market players. In the second stage, when the winning bid resources are insufficient, supplementary allocation is made based on the regulation capacity of the entire field station, thus achieving a balance between market needs and meeting various regulation requirements of the system.

[0058] 3. For power stations equipped with energy storage, when it is necessary to reduce the output, the present invention decomposes the entire station command into the reduction of active power output from new energy sources and the charging amount of energy storage. By coordinating the absorption of redundant power through energy storage, the power curtailment of new energy sources is reduced while meeting the grid's power reduction requirements, thereby improving the overall absorption level and operational economy of the system. Attached Figure Description

[0059] Figure 1This is a flowchart illustrating a wide-area source-storage active power real-time control method for adapting to the effective execution of frequency regulation clearing results, as disclosed in an embodiment of the present invention.

[0060] Figure 2 This is a schematic diagram of a wide-area source-storage active power real-time control device that adapts to the effective execution of frequency regulation clearing results, as disclosed in an embodiment of the present invention. Detailed Implementation

[0061] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings. 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 protection scope of the present invention.

[0062] The present invention will be further described below with reference to specific embodiments.

[0063] Example 1:

[0064] This embodiment introduces a wide-area source-storage active power real-time control method that adapts to the effective execution of frequency regulation clearing results, such as... Figure 1 As shown, it specifically includes:

[0065] Step 1: When a request for power regulation from renewable energy sources across the entire network is received, or when a controlled section experiences a power flow exceeding its limit, obtain the current network-wide operating data to determine the current number of controlled renewable energy power stations across the entire network. Frequency modulation won the bid for new energy power station collection and the entire network operation constraint set and calculate The real-time regulation capabilities of various new energy power plants in China. Among them, FM wins bid for new energy power station cluster It is a network-wide controlled new energy power station cluster A subset of.

[0066] The specific method for calculating the real-time regulation capacity of each new energy power station is as follows:

[0067]

[0068] in, , They are respectively new energy power stations The current upward and downward adjustment capabilities. , They are respectively new energy power stations Active power output and grid-connected capacity , They are respectively new energy power stations Active power up-rate and down-rate, and They are respectively new energy power stations Output upper limit and output lower limit, This refers to the instruction issuance cycle.

[0069] The set of operational constraints for the entire network includes network-wide frequency regulation, peak shaving, and controlled section operational constraints.

[0070] Step 2: Calculate the entire network's operational constraint set The current operational safety margin of each constraint is determined. If the current operational safety margin meets the safety margin condition, then the constraint is considered a critical constraint and is added to the critical constraint set. Take the key constraint set The key constraint corresponding to the minimum safety margin is used to calculate the total new energy power regulation of the entire network. If the current operating safety margin does not meet the safety margin condition, proceed to step 6.

[0071] Specifically, the operational safety margin is as follows:

[0072]

[0073] in, Constraints for the entire network operation The current trend (or the total output of new energy sources). Constraints for the entire network operation The limit, Constraints for the entire network operation The current operational safety margin.

[0074] The key constraint for the entire network operation must be satisfied:

[0075]

[0076] in, As a safety margin threshold, To provide a safety margin for the key constraint, add the key constraint to the key constraint set. .

[0077] Total new energy power regulation The specific calculation method is as follows:

[0078]

[0079] in, , These are the current power flow (or total output of new energy sources) and the limit for the key constraint key. For various new energy power stations Key constraints Active sensitivity, Constraints for the entire network operation The influence factor ranges from 0 to 1.0.

[0080] Step 3: Calculate the total number of controlled renewable energy power stations across the entire network For the key constraint set The active power sensitivity of the renewable energy power station to key constraints is determined by a threshold value. If the active power sensitivity of the renewable energy power station to key constraints is greater than a set threshold value, then the renewable energy power station will be included in the associated renewable energy power station set. .

[0081] Among them, the associated new energy power station set Specifically:

[0082]

[0083] in, To adjust constraints The control threshold value.

[0084] Step 4: Calculate the set of associated new energy power stations based on the real-time regulation capacity of each new energy power station and the total new energy power regulation of the entire network. The overall command for each new energy power station in China.

[0085] The overall command for each new energy power station adopts a two-stage allocation method, specifically as follows:

[0086] In the first phase, only the associated collection of new energy power stations is invoked. Central frequency modulation wins bid for new energy power station cluster .calculate China New Energy Power Station Allocation amount in the first phase Specifically:

[0087]

[0088] in, For new energy power stations The clearing plan value, , They are respectively new energy power stations Its real-time adjustment capability and frequency modulation winning bid capacity, For new energy power stations The current output satisfies:

[0089]

[0090] Phase Two: Calculating Residual Adjustment Demand .like Two-stage calculation The remaining active power adjustment of each new energy power station .

[0091] Specifically, within the remaining available regulating capacity of all stations listed in the station list, a secondary allocation of instructions is performed according to the proportion of the remaining unidirectional available regulating capacity of each station. (New energy stations) The formulas for calculating the allocation amount and the final active power control command obtained in the second stage are as follows:

[0092]

[0093] in, The remaining unidirectional available regulation capacity of each station is used to meet the following requirements. , For station The final active power control command is used as the station's command.

[0094] Based on the calculation of the associated set of new energy power stations The specific instructions for the entire power station of China New Energy are as follows:

[0095]

[0096] Step 5: Retrieve the entire network's operational constraint set The safety margin of each constraint is checked. If the safety margin condition is met, proceed to step 6; otherwise, update the critical constraint set. The power output of the China New Energy power station is the current power flow and returns to step 2.

[0097] Step 6: Calculate and associate the set of new energy power stations For new energy power stations that are not associated with any other power station, this instruction serves as the final overall instruction for that unrelated power station and directly participates in the instruction issuance process. A search of the entire network of new energy power stations is performed. If on-site energy storage is present, proceed to step 7; otherwise, proceed to step 8.

[0098] Specifically, the final station-wide instruction for the unrelated stations is as follows:

[0099]

[0100] in, For new energy power stations Available power.

[0101] Step 7: Calculate the decomposition instructions of new energy and energy storage within the station to maximize the absorption of new energy.

[0102] The calculation adapts to the decomposition instructions of new energy and energy storage within the station to maximize the absorption of new energy, that is, when At that time, the allocation instructions for new energy sources and energy storage within the site are calculated according to the following formula:

[0103]

[0104] in, To support the energy storage charging instructions, This is the general command for new energy generating units within the new energy power station. This represents the maximum charging power of the energy storage system currently in operation. For new energy power stations Available power, For new energy power stations The current output.

[0105] Step 8: Issue control instructions to each new energy source and its distribution and storage to the new energy power station for active power control. After completion, enter the next round of control waiting cycle.

[0106] The present invention proposes a wide-area source-storage active power real-time control method and system adapted to the effective execution of frequency regulation clearing results. It constructs a two-stage real-time solution strategy prioritizing market needs and emphasizing security coordination to maximize the integration of new energy sources and overall benefits. In the first stage, prioritizing the execution of bid-winning capacity in the frequency regulation ancillary services market, and under the premise of meeting rigid constraints such as grid section safety, the method allocates instructions to the already won-bid regulation and storage resources, generating preliminary optimization instructions. The second stage addresses system regulation needs that are still not met after the first stage allocation, or targets unsuccessful control stations, transitioning to a global supplementary allocation based on the regulation capacity of all control stations, thereby ensuring the reliable fulfillment of various real-time system regulation needs.

[0107] In particular, for renewable energy power plants equipped with energy storage systems that require output reduction, this method innovatively introduces a collaborative decomposition step before the final instruction is issued. This step optimizes and decomposes the overall reduction instruction for the entire plant into the reduction of renewable energy unit output and the charging amount of the supporting energy storage. This mechanism fully taps the collaborative absorption potential of the power distribution and storage system. While responding to the grid's demand for power reduction, it stores renewable energy that might otherwise be abandoned locally, achieving multiple objectives of safe regulation, market execution, and improved absorption. This method not only provides dispatching agencies with a refined control tool that balances market mechanisms and physical safety, but also effectively incentivizes market participants' investment and participation by ensuring market returns and improving absorption levels. It has significant theoretical innovation and engineering application value.

[0108] Example 2:

[0109] This embodiment describes a computer-readable storage medium storing a computer program that, when executed by a processor, implements a wide-area source-storage active power real-time control method adapted to frequency modulation clearing results, as described in any of Embodiment 1.

[0110] Example 3:

[0111] This embodiment describes a computer device, such as... Figure 2 As shown, it includes:

[0112] Memory is used to store instructions.

[0113] A processor is configured to execute the instructions, causing the computer device to perform operations of a wide-area source-storage active power real-time control method adapted to frequency modulation clearing results as described in any of Embodiment 1.

[0114] When the computer instructions are executed by the processor, the electronic device performs the steps as described in the above method embodiments and achieves the same technical effect as the above method.

[0115] Example 4:

[0116] To verify the effectiveness and superiority of the proposed wide-area source-storage active power real-time control method adapted to frequency regulation clearing results, this embodiment establishes a simulation test platform based on actual operating data of a provincial power grid. This power grid includes 150 renewable energy power stations (total grid-connected capacity 18GW, of which 60% is wind power and 40% is photovoltaic), of which 30 stations are equipped with energy storage systems (total energy storage power / capacity 600MW / 1200MWh), and 15 stations participated in the daily frequency regulation ancillary service market and won bids (total winning bid capacity 200MW). The simulation period is 1 day, the control period is 5 seconds, and the safety margin threshold is set to 5%. The simulation scenario is set to the midday peak photovoltaic power generation period (12:00-13:00), where the system triggers a power reduction demand due to tie-line power exceeding limits, with the total power reduction demand gradually increasing from 50MW to 180MW. A comparative experiment is conducted between the proposed method (hereinafter referred to as "this method") and a traditional control method that only considers section safety (hereinafter referred to as "traditional method").

[0117] The comparison results of key indicators are shown in the table below:

[0118]

[0119] Simulation Result Analysis:

[0120] Significantly enhancing the authority and economic efficiency of the FM market: Traditional methods, due to the failure to prioritize the implementation of FM clearing results, resulted in a significant discrepancy between the actual output of winning stations and the clearing plan, with an implementation rate of only 71.3%, thus harming the reasonable profits of market participants. In contrast, the method of this invention, through priority allocation in the first stage, increases the implementation rate to 93.6%, achieving near-perfect implementation of the market clearing results and effectively ensuring the seriousness of the FM ancillary service market and the effectiveness of economic incentives.

[0121] Significantly reducing power curtailment and improving energy absorption: When facing system demand downgrades, traditional methods directly reduce the output of renewable energy power plants, resulting in a curtailment of up to 86.4 MWh. This invention utilizes an energy storage synergy module to decompose the overall power downgrade command into renewable energy reduction and energy storage charging, using the associated energy storage charging power to absorb the renewable energy that would otherwise be curtailed. This significantly reduces curtailment by 62.2% (to 32.7 MWh), and increases the overall renewable energy absorption rate from 94.2% to 97.8%. Simulations show 247 instances of energy storage participating in energy absorption, powerfully demonstrating the effectiveness of this method in unlocking the potential of energy storage synergy.

[0122] Accelerating the recovery from cross-section over-limit situations and ensuring power grid safety: Traditional methods, due to inaccurate screening of associated power stations or improper allocation strategies, result in cross-section over-limit times lasting up to 15 seconds. The method of this invention, through real-time sensitivity screening of associated power stations and rapid command allocation, shortens the cross-section over-limit time to 5 seconds, significantly improving the safety and stability of power grid operation.

[0123] In summary, the quantitative data indicators of this simulation experiment fully support the three major advantages discussed in the beneficial effects section of the present invention: (1) it achieves the organic integration of market clearing results and real-time control, improving market execution rate and economy; (2) through a two-stage allocation strategy, it takes into account both market priority and the satisfaction of various system adjustment needs; (3) through energy storage-assisted consumption, it significantly reduces power curtailment and improves the overall system consumption level. This method provides an advanced and reliable solution for the safe, economical, and efficient operation of high-proportion renewable energy power grids in the power market environment.

[0124] The memory may include computer system readable media in the form of volatile memory, such as random access memory (RAM) and / or cache memory. The device may further include other removable / non-removable, volatile / non-volatile computer system storage media. By way of example only, the memory may be used to read and write non-removable, non-volatile magnetic media (commonly referred to as a "hard disk drive"). A program / utility having a set (at least one) of program modules may be stored in, for example, memory. Such program modules include, but are not limited to, an operating system, one or more application programs, other program modules, and program data. Each or some combination of these examples may include an implementation of a network environment. The program modules typically perform the functions and / or methods described in the embodiments of the present invention.

[0125] The processor executes various functional applications and data processing by running programs stored in memory, such as the method provided in Embodiment 1 of the present invention.

[0126] This equipment can be applied in power grid dispatch centers, new energy control centers, or other locations that require real-time control of active power generation and storage in a wide area.

[0127] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0128] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0129] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0130] The above description is only a preferred embodiment of the present invention. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the principle of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. A wide-area source-storage active power real-time control method adapted to frequency regulation clearing results, characterized in that: Specifically, it includes: Step 1: When a request for power regulation from renewable energy sources across the entire network is received, or when a controlled section experiences a power flow exceeding its limit, obtain the current network-wide operating data to determine the current number of controlled renewable energy power stations across the entire network. Frequency modulation won the bid for new energy power station collection and the entire network operation constraint set and calculate The real-time regulation capabilities of various new energy power stations in China; Step 2: Calculate the entire network's operational constraint set The current operational safety margin of each constraint is determined. If the current operational safety margin meets the safety margin condition, then the constraint is considered a critical constraint and is added to the critical constraint set. Take the key constraint set The key constraint corresponding to the minimum safety margin is used to calculate the total new energy power regulation of the entire network based on the key constraint. Step 3: Calculate the total number of controlled renewable energy power stations across the entire network For the key constraint set The active power sensitivity is set; if the active power sensitivity exceeds a set threshold, the renewable energy power station will be included in the associated renewable energy power station set. ; Step 4: Calculate the set of associated new energy power stations based on the real-time regulation capacity of each new energy power station and the total new energy power regulation of the entire network. The overall command for each new energy power station in China; Step 5: Retrieve the entire network's operational constraint set The safety margin of each constraint is determined; if the safety margin condition is not met, the critical constraint set is updated. The power output of the China New Energy power station is the current power flow and returns to step 2.

2. The wide-area source-storage active power real-time control method according to claim 1, characterized in that: Step 2 further includes: if the current operating safety margin does not meet the safety margin condition, then proceed to step 6; Step 5 further includes: if the safety margin condition is met, proceed to step 6; Step 6: Calculate the final station command for unrelated power stations and directly participate in command issuance; search the entire network of new energy power stations. If there is on-site energy storage, proceed to Step 7; otherwise, proceed to Step 8. Step 7: Calculate the decomposition instructions of new energy and energy storage within the station to maximize the absorption of new energy; Step 8: Issue control instructions to each new energy source and its distribution and storage to the new energy power station for active power control. After completion, enter the next round of control waiting cycle.

3. A wide-area source-storage active power real-time control method adapting to frequency regulation clearing results according to claim 1 or 2, characterized in that: The expression for the real-time regulation capability of each new energy power station is as follows: ； in, , They are respectively new energy power stations The current upward and downward adjustment capabilities. , They are respectively new energy power stations Active power output and grid-connected capacity , They are respectively new energy power stations Active power up-rate and down-rate, and They are respectively new energy power stations Output upper limit and output lower limit, This refers to the instruction issuance cycle.

4. A wide-area source-storage active power real-time control method adapting to frequency regulation clearing results according to claim 1 or 2, characterized in that: The expression for the operational safety margin is as follows: ； in, Constraints for the entire network operation The current trend Constraints for the entire network operation The limit, Constraints for the entire network operation The current operational safety margin; The expression for the safety margin condition is as follows: ； in, This is the safety margin threshold; The total network new energy power regulation The expression is as follows: ； in, , These are the current power flow and quota for the key constraint, respectively. For various new energy power stations Key constraints Active sensitivity, Constraints for the entire network operation Influencing factors.

5. A wide-area source-storage active power real-time control method adapting to frequency regulation clearing results according to claim 1 or 2, characterized in that: The associated new energy power station collection Complete station instructions for various new energy power plants in China The expression is as follows: ； in, For new energy power stations The current output, This refers to the total power regulation of new energy sources across the entire network. For new energy power stations The allocation amount in the first phase. For the collection of related new energy power stations The remaining new energy power stations The allocation amount in the second phase.

6. The wide-area source-storage active power real-time control method according to claim 5, characterized in that: The new energy power station Allocation amount in the first phase The expression is as follows: ； in, For new energy power stations The clearing plan value, , They are respectively new energy power stations Real-time adjustment capability and frequency modulation winning bid capacity; The associated new energy power station collection The remaining new energy power stations Allocation amount in the second phase The expression is as follows: ； in, The remaining unidirectional available regulating capacity at each station. This is for the remaining adjustment demand.

7. A wide-area source-storage active power real-time control method adapting to frequency regulation clearing results according to claim 6, characterized in that: The remaining adjustment demand The expression is as follows: ； in, For various new energy power stations Key constraints Active sensitivity.

8. A wide-area source-storage active power real-time control method adapting to frequency regulation clearing results according to claim 6, characterized in that: The new energy power station Real-time adjustment capability The following conditions must be met: ； in, , They are respectively new energy power stations The current upward and downward adjustment capabilities.

9. A wide-area source-storage active power real-time control method adapting to frequency regulation clearing results according to claim 2, characterized in that: The final station command for the unrelated stations The expression is as follows: ； in, For new energy power stations Available power.

10. A wide-area source-storage active power real-time control method adapting to frequency regulation clearing results according to claim 2, characterized in that: The decomposition instructions for new energy and energy storage within the station include: supporting energy storage charging instructions. General instructions for new energy units within new energy power stations The expression is as follows: ； in, This represents the current maximum charging power of the energy storage system within the station. For new energy power stations Available power, For new energy power stations The current output, This refers to the overall command for each new energy power station.

11. A computer-readable storage medium, characterized in that: It stores a computer program, which, when executed by a processor, implements a wide-area source-stored active power real-time control method as described in any one of claims 1-10, adapting to frequency modulation clearing results.

12. A computer device, comprising: Memory, used to store instructions; A processor is configured to execute the instructions, causing the computer device to perform the operation of a wide-area source-storage active power real-time control method adapted to frequency modulation clearing results as described in any one of claims 1-10.

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