A rapid start-stop and peak-shaving coordinated control system for 660MW thermal power units

Abstract

This invention relates to the field of power system peak-shaving control technology, and discloses a rapid start-stop peak-shaving coordinated control system for 660MW thermal power units. The system includes an electricity demand generation unit, a data acquisition module, and a disassembly module. The data acquisition module collects historical electricity consumption, real-time electricity consumption trends, rated output and minimum stable load of the thermal power units, rated capacity and charge / discharge efficiency data of the energy storage modules. The disassembly module is based on the collected data. This 660MW thermal power unit rapid start-stop peak-shaving coordinated control system generates a time-segmented linear power generation plan through the electricity demand generation unit, executes a monitoring unit to collect operating data in real time and dynamically adjusts the acquisition frequency, performs deviation verification and command generation through a deviation analysis unit, and achieves power difference compensation through a terminal energy storage compensation and calibration unit. It has the advantages of improving peak-shaving efficiency, ensuring equipment safety, and maintaining supply and demand balance.

Description

Technical Field

[0001] This invention relates to the field of power system peak shaving control technology, and in particular to a rapid start-stop peak shaving coordinated control system for 660MW thermal power units. Background Technology

[0002] Against the backdrop of current energy structure transformation and dynamic changes in electricity supply and demand, rapid start-up and peak-shaving coordination systems have become a crucial link in ensuring stable grid operation and improving energy efficiency. For 660MW thermal power units, such systems aim to accurately and efficiently respond to rapid fluctuations in electricity load by integrating the unit's own operation and control with auxiliary means such as external energy storage. During peak electricity demand, the system rapidly increases unit output and coordinates with energy storage to quickly discharge and supplement electricity; during off-peak electricity demand, the system promptly reduces unit load and utilizes energy storage to store excess electricity, achieving a dynamic balance between electricity supply and demand while reducing losses caused by frequent and large-scale load adjustments by the unit.

[0003] However, existing technologies have many shortcomings in achieving rapid start-up and shutdown coordination for peak shaving in thermal power units. For units that start during the day and shut down at night, frequent start-ups and shutdowns cause fatigue damage to equipment, increase maintenance costs, and the start-up preparation work is cumbersome and time-consuming. For example, the hot start-up of combined cycle units has high requirements for shaft seal steam, and preparation work such as warming up the pipes, adjusting the shaft seal steam temperature, and vacuuming takes about 50 minutes. It takes about 60 minutes for the gas turbine to start up to full load. The traditional gas turbine start-up process is lengthy, and its rapid start-up response capability is limited. In addition, most existing technologies are insufficient in terms of energy storage applications, lack research on the coordinated peak shaving of multiple energy storage systems, and the energy storage operation models are not refined enough, failing to consider the relationship between energy storage output and efficiency. Furthermore, existing technologies often ignore the impact of grid transmission capacity on peak shaving effectiveness. Under conditions of transmission congestion and power flow constraints, the peak shaving capacity is greatly reduced, making it difficult to meet the current complex and ever-changing power peak shaving demands. Summary of the Invention

[0004] The technical problem to be solved by this invention is that the existing technology has the disadvantages of slow peak shaving response, weak energy storage coordination and coarse node control. To this end, we propose a fast start-stop peak shaving coordinated control system for 660MW thermal power units.

[0005] To achieve the above objectives, this application adopts the following technical solution: a 660MW thermal power unit rapid start-stop peak-shaving coordinated control system, including an electricity demand generation unit, a data acquisition module, and a dismantling module; the data acquisition module collects historical electricity consumption, real-time electricity consumption trends, rated output and minimum stable load of the thermal power unit, rated capacity and charging / discharging efficiency data of the energy storage module; the dismantling module, based on the collected data, generates a power generation plan including the target output value of the thermal power unit, the charging / discharging power value of the energy storage module, and a preset energy storage module exit node, and transmits it to the execution monitoring unit;

[0006] The execution monitoring unit includes an instruction issuing module and a data monitoring module. After receiving the plan, the instruction issuing module sends a target output instruction to the thermal power unit and a charging / discharging power instruction to the energy storage module. The data monitoring module collects the actual output of the thermal power unit, the actual charging / discharging power of the energy storage module, and the actual electricity consumption data on the user side in real time. When the preset energy storage module exit node is approaching, the acquisition frequency is increased, a deviation analysis trigger signal is sent to the deviation analysis unit, and data is transmitted synchronously. The thermal power unit is divided into cold-state unit, warm-state unit, and hot-state unit.

[0007] The deviation analysis unit includes a deviation comparison module and an instruction generation module. The deviation comparison module receives signals and data, extracts the planned and actual output values ​​of the exit node unit, and calculates the deviation. If the deviation is within the preset allowable range, the instruction generation module sends the original plan execution instruction to the execution monitoring unit, and controls the energy storage module to exit according to the plan. If the deviation exceeds the range, a deviation report is generated and transmitted to the end-of-line energy storage leak repair and calibration unit.

[0008] The end-point energy storage leakage compensation calibration unit includes a difference calculation module and a leakage compensation control module; the difference calculation module receives deviation reports and calculates the total difference between the actual and planned power generation for the entire cycle before the end of the power generation plan cycle; the leakage compensation control module generates a linear leakage compensation command based on the difference and sends it to the energy storage module.

[0009] Preferably, the power generation plan generated by the disassembly module of the electricity demand generation unit is a time-segmented linear power generation plan, wherein the target output value of the thermal power unit changes linearly with time, the charging and discharging power value of the energy storage module changes linearly with time, and the maximum charging and discharging power value of the energy storage module is consistent with the adjusted target output value of the thermal power unit for the corresponding time period.

[0010] Preferably, when the dismantling module generates a time-segmented linear power generation plan, the linear change slope of the target output value of the thermal power unit and the linear change slope of the charging and discharging power value of the energy storage module are both determined based on the thermal characteristic data of the thermal power unit, wherein the linear change slope corresponding to the cold-state unit is less than the linear change slope corresponding to the hot-state unit.

[0011] Preferably, when the disassembly module generates a time-segmented linear power generation plan, it sets corresponding linear change slope thresholds for the three thermal characteristics of cold-state units, warm-state units, and hot-state units.

[0012] Preferably, the cold-state unit is as follows:

[0013] Slope of linear change of target output value of thermal power unit: ;

[0014] Slope of linear change in the charging and discharging power value of the energy storage module: ;

[0015] When the unit is in a warm state:

[0016] Slope of linear change of target output value of thermal power unit: ;

[0017] Slope of linear change in the charging and discharging power value of the energy storage module: ;

[0018] When the unit is in hot condition:

[0019] Slope of linear change of target output value of thermal power unit: ;

[0020] Slope of linear change in the charging and discharging power value of the energy storage module: ;

[0021] in For a 660MW thermal power unit with rated power, The rated power of the energy storage module. The unit of time is minutes. All are slope coefficients and satisfy And under the same thermal state, , , .

[0022] Preferably, the data monitoring module of the execution monitoring unit is equipped with a data acquisition frequency reference value. When the current time is detected With preset energy storage module exit node satisfy ,in When the pre-set monitoring duration is used, the data collection frequency is from Upgraded to ,and The data monitoring module, after increasing the acquisition frequency, according to... The system continuously collects data on the actual output of thermal power units, the actual charging and discharging power of energy storage modules, and the actual electricity consumption of users. The collected real-time data is then encapsulated into standard data frames and transmitted synchronously to the deviation analysis unit along with the deviation analysis trigger signal.

[0023] Preferably, when the command issuing module of the execution monitoring unit sends the target output command to the thermal power unit and the charge / discharge power command to the energy storage module, it will simultaneously add a command validity duration parameter. If the thermal power unit or the energy storage module does not send a command execution confirmation signal to the command issuing module within the command validity duration, the command issuing module will resend the target output command or charge / discharge power command to the corresponding device and adjust the validity duration of the resent command to 1.5 times the original validity duration. At the same time, the command issuing module will send a command retransmission flag to the data monitoring module. When the data monitoring module collects the operating data for which no confirmation signal has been sent, it will associate the command retransmission flag with the operating data of the corresponding device and record it, and transmit it synchronously to the deviation analysis unit along with the actual power consumption data on the user side.

[0024] Preferably, the deviation comparison module of the deviation analysis unit presets a deviation allowable range, which is set as a percentage of the rated power of the thermal power unit; when the deviation comparison module calculates the deviation value, the deviation value = |exit node unit planned value - actual unit output|, and compares the calculation result with the preset deviation allowable range to generate a comparison result.

[0025] Preferably, when the deviation exceeds the range, the deviation report generated by the instruction generation module of the deviation analysis unit also includes information on the duration of the deviation, which is the cumulative time from the first detection of the deviation exceeding the range to the generation of the deviation report; if the duration of the deviation exceeds a preset threshold, the instruction generation module will also send an equipment status warning signal to the execution monitoring unit and simultaneously trigger the data monitoring module to collect the operating parameters of key components of the thermal power unit.

[0026] Preferably, when the difference calculation module of the end-point energy storage leakage compensation calibration unit calculates the total power difference, the cumulative value of the planned power generation in each time period of the time-segmented linear power generation plan is used as the planned total power, and the cumulative value of the actual power generation of the thermal power unit and the energy storage module collected by the real-time execution and status monitoring unit is used as the actual total power. The total power difference is the absolute value of the difference between the two. The linear leakage compensation command generated by the leakage compensation control module includes the leakage compensation power start value, the leakage compensation power end value and the leakage compensation duration. The leakage compensation power changes linearly from the start value to the end value over time, and the rate of change of the leakage compensation power is set as a percentage of the rated power of the energy storage module.

[0027] The technical effects and advantages of this invention are as follows:

[0028] In this invention, by dynamically increasing the data acquisition frequency before the energy storage exit node, combined with deviation analysis and a delayed exit mechanism, transient fluctuations are accurately captured, avoiding power generation gaps during the energy storage exit and unit takeover phases. Simultaneously, the calculation of the total power difference across the entire lifecycle at the end point and the linear leakage compensation design solve the supply-demand imbalance problem caused by traditional local deviation compensation. Furthermore, the linear leakage compensation power avoids sudden changes in grid power caused by constant power charging and discharging, ensuring grid stability. In addition, by dynamically adjusting the effective duration of commands and using a retransmission marker association mechanism, communication delay tolerance and system response efficiency are balanced, preventing blind coordination caused by data misjudgment. This further improves the refinement and reliability of the peak-shaving process, ultimately achieving multiple objectives: safe unit operation, efficient energy storage utilization, and precise grid supply-demand matching. Attached Figure Description

[0029] The disclosure of this invention is illustrated with reference to the accompanying drawings. It should be understood that the drawings are for illustrative purposes only and are not intended to limit the scope of protection of this invention. In the drawings, the same reference numerals are used to refer to the same parts:

[0030] Figure 1 This is a flowchart of the present invention. Detailed Implementation

[0031] It is readily understood that, based on the technical solution of this invention, those skilled in the art can propose various interchangeable structural methods and implementations without altering the essential spirit of the invention. Therefore, the following detailed embodiments and accompanying drawings are merely illustrative examples of the technical solution of this invention and should not be considered as the entirety of the invention or as limitations or restrictions on the technical solution of this invention.

[0032] Reference Figure 1 As shown, the present invention provides a technical solution:

[0033] In existing technologies, thermal power units, as the core equipment for grid peak shaving, are subject to response lag and output fluctuations due to the inertia of the thermal system during rapid start-up, shutdown, and load adjustment. When electricity demand temporarily increases, power supply gaps are prone to occur during the unit adjustment phase; when demand decreases, excess electricity is difficult to effectively absorb. Traditional peak shaving systems lack deviation verification mechanisms at critical nodes of energy storage withdrawal and unit takeover, relying solely on energy storage replenishment or rigid unit adjustments, leading to frequent equipment damage, power imbalances, and grid fluctuations. For example, during peak shaving, a 660MW unit experienced a 50MW instantaneous power gap due to the missynchronization of energy storage module withdrawal and unit output adjustment, triggering grid frequency fluctuations.

[0034] To address the lack of dynamic monitoring and closed-loop control for energy storage exit points in existing technologies, which leads to coordination blind spots in the peak-shaving process, this paper proposes a closed-loop control architecture based on the analysis of unit thermodynamic characteristics and energy storage response patterns. This architecture includes plan generation, execution monitoring, deviation analysis, and end-point compensation. The specific approach is as follows: First, historical load data and equipment parameters are integrated to generate a phased power generation plan; second, the monitoring frequency is increased to capture real-time deviations before energy storage exits; third, deviation thresholds are used to determine whether to maintain the plan or trigger compensation; finally, linear calibration is performed based on the full-cycle power difference, forming a complete peak-shaving closed loop.

[0035] This application proposes a rapid start-stop and peak-shaving coordinated control system for 660MW thermal power units, including an electricity demand generation unit, a data acquisition module, and a dismantling module. The data acquisition module collects historical electricity consumption, real-time electricity consumption trends, rated output and minimum stable load of thermal power units, rated capacity and charging / discharging efficiency data of energy storage modules. Based on the collected data, the dismantling module generates a power generation plan including the target output value of the thermal power unit, the charging / discharging power value of the energy storage module, and the preset energy storage module exit node, and transmits it to the execution monitoring unit.

[0036] The power generation plan generated by the decomposition module of the electricity demand generation unit is a time-segmented linear power generation plan. The target output value of the thermal power unit changes linearly with time, the charging and discharging power value of the energy storage module changes linearly with time, and the maximum charging and discharging power value of the energy storage module is consistent with the adjusted target output value of the thermal power unit in the corresponding time period.

[0037] Among them, the time-segmented linear power generation plan refers to dividing the peak-shaving cycle into multiple consecutive time periods. In each time period, the output or charging and discharging power of thermal power units and energy storage modules changes according to a preset linear law. The system control complexity is reduced by segmented linearization processing. The unit controller receives ramp commands to achieve this. This method can avoid sudden changes in thermal stress caused by step load adjustment.

[0038] Specifically, the peak-shaving process is divided into several time periods, within which the output of thermal power units is gradually adjusted at a preset linear rate. During the unit's load increase phase, the discharge power of the energy storage module increases linearly at the same rate, and its maximum discharge power is set as the unit's output increment at the end of the corresponding time period. During the unit's load decrease phase, the charging power of the energy storage module increases linearly at the same rate, and its maximum charging power is set as the unit's output reduction at the end of the corresponding time period. Through this linear coordination mechanism, the thermal system of the thermal power unit can smoothly transition to the target load state at the rate allowed by the equipment, while the charging and discharging power of the energy storage module always maintains dynamic matching with the change in unit output, avoiding power gaps or redundancy caused by mismatch in the adjustment rates of the two. By real-time matching of energy storage charging and discharging power with changes in unit output, dynamic balance of power supply and demand is ensured during peak-shaving, eliminating instantaneous power gaps or redundancy caused by traditional step adjustments. The time-sharing linear control strategy reduces the complexity of system control and improves the reliability of the coordinated peak-shaving operation of the unit and energy storage.

[0039] When the dismantling module generates a time-sharing linear power generation plan, the linear change slope of the target output value of the thermal power unit and the linear change slope of the charging and discharging power value of the energy storage module are both determined based on the thermal characteristic data of the thermal power unit. The linear change slope corresponding to the cold-state unit is smaller than that corresponding to the hot-state unit.

[0040] Thermal power unit thermal characteristic data is a dynamic set of parameters reflecting the temperature distribution of the unit's metal components, steam parameters, and system thermal inertia. It can be obtained through the fusion analysis of real-time data collected by temperature and pressure sensors and historical data stored in a historical operation database, providing the basic input for calculating the linear change slope. The linear change slope refers to the rate of change of the thermal power unit's output or the charging and discharging power of the energy storage module per unit time. It is determined by setting corresponding slope coefficient thresholds for different thermal states and matching the appropriate slope parameters with the current thermal state of the unit, thereby ensuring that the output adjustment rate is adapted to the current thermal state of the unit.

[0041] When the unit is in a cold state, the temperature of the metal components is low and the thermal inertia is large. At this time, a smaller linear change slope is used, allowing the unit output to rise or fall at a gradual rate, avoiding excessive thermal stress in critical components such as cylinders and rotors due to sudden temperature gradient changes. When the unit is in a hot state, the system is in thermal equilibrium, and a larger linear change slope is used, allowing the unit output to respond quickly to changes in load demand. Simultaneously, the charging and discharging power change slope of the energy storage module is adjusted synchronously with the unit output slope. In the cold state, the energy storage module charges and discharges at a lower rate to match the unit's gradual adjustment; in the hot state, the energy storage module charges and discharges at a higher rate to match the unit's rapid response. This effectively solves the problem of excessive thermal stress in metal components caused by forced rapid output adjustments in cold-state units, while avoiding the peak-shaving response delay caused by conservative adjustment strategies in hot-state units. The differentiated slope settings balance the contradiction between equipment safety and peak-shaving efficiency, ensuring dynamic coordination between the energy storage module's charging and discharging process and the unit's output adjustment.

[0042] When the decomposition module generates a time-of-use linear power generation plan, it sets corresponding linear change slope thresholds for three types of thermal characteristics: cold-state units, warm-state units, and hot-state units. For cold-state units:

[0043] Slope of linear change of target output value of thermal power unit: ;

[0044] Slope of linear change in the charging and discharging power value of the energy storage module: ;

[0045] When the unit is at room temperature:

[0046] Slope of linear change of target output value of thermal power unit: ;

[0047] Slope of linear change in the charging and discharging power value of the energy storage module: ;

[0048] When the unit is in hot condition:

[0049] Slope of linear change of target output value of thermal power unit: ;

[0050] Slope of linear change in the charging and discharging power value of the energy storage module: ;

[0051] in For a 660MW thermal power unit with rated power, The rated power of the energy storage module. The unit of time is minutes. All are slope coefficients and satisfy And under the same thermal state, , , .

[0052] Time-of-use linear power generation planning refers to dividing the peak-shaving cycle into multiple continuous time periods, within which the output of thermal power units and the charging and discharging power of energy storage change according to a preset linear law. This is achieved through a time series segmentation algorithm combined with a load forecasting model, enabling refined control of the peak-shaving process. The linear change slope threshold is the maximum allowable rate of change of thermal power unit output or energy storage charging and discharging power per unit time, determined by a thermal stress simulation model combined with historical unit operating data. It is used to constrain the unit output adjustment rate under different thermal states and prevent thermal stress exceeding limits on metal components. The cold, warm, and hot state characteristics reflect the unit's... The varying cylinder temperature states resulting from different shutdown durations are categorized by monitoring the high-pressure cylinder wall temperature using temperature sensors. Different hot states correspond to different thermal expansion coefficients of the metal materials, directly affecting the unit's allowable load change rate. In the cold state, the temperature difference between the turbine rotor and cylinder is large, so a lower linear change slope threshold is used to control the unit's output increase rate to achieve slow and uniform heating of the metal components. In the hot state, the metal component temperature is high and uniformly distributed, so a higher linear change slope threshold is used to allow the unit to quickly increase output to respond to load demands. The moderate state, as an intermediate state, has a slope threshold between the cold and hot states, forming a gradual adjustment mechanism. During the power generation plan generation process, the system acquires the unit's hot state parameters in real time, automatically matches the corresponding slope threshold to generate a linear output curve, and simultaneously generates a charge / discharge power curve based on the energy storage rated power constraint, ensuring that unit output adjustments and energy storage power changes are synchronized within the material tolerance range. Compared to existing peak-shaving systems, which typically use fixed slope parameters to control unit output changes and fail to consider the differences in thermal stress of metal components under different hot conditions, this leads to two problems: first, when a cold-state unit rapidly increases load at a fixed slope, metal components are at risk of cracking due to sudden changes in thermal stress; second, hot-state units, constrained by conservative fixed parameters, cannot fully utilize their inherent rapid response advantages. Cold-state units use a lower slope coefficient, limiting the unit's output adjustment rate within the safe threshold of thermal stress in metal components. Simultaneously, the energy storage module charges and discharges at a slope slightly higher than the unit's adjustment rate, compensating for output lag caused by thermal inertia. Warm-state units use a medium slope coefficient, improving response speed while ensuring controllable turbine rotor fatigue damage. The energy storage module synchronously adjusts its charging and discharging rate to cover unit output fluctuations. Hot-state units use a higher slope coefficient, utilizing the unit's stored thermal energy to achieve rapid load tracking, with the energy storage module providing power compensation at an even higher slope. By setting the slope of the thermal power unit to always be lower than the slope of the energy storage under the same hot state, it is ensured that the energy storage module can quickly cover the deviation between the actual output and the target value during the unit output adjustment process.

[0053] By establishing a dynamic mapping relationship between thermal characteristics and slope threshold, parameter adaptive matching is achieved during the power generation plan generation stage. This eliminates potential equipment damage and releases the peak-shaving potential of the unit under different thermal conditions. It effectively solves the contradiction between equipment damage and peak-shaving efficiency caused by uniform slope settings in thermal power units under different thermal conditions. In the cold state, a low slope threshold ensures equipment safety, in the hot state, a high slope threshold improves response speed, and in the warm state, an intermediate value achieves a smooth transition. This optimizes the time economy of the peak-shaving process while ensuring the unit's lifespan.

[0054] The execution monitoring unit includes an instruction issuing module and a data monitoring module. After receiving the plan, the instruction issuing module sends the target output instruction to the thermal power unit and the charging and discharging power instruction to the energy storage module. The data monitoring module collects the actual output of the thermal power unit, the actual charging and discharging power of the energy storage module, and the actual electricity consumption data on the user side in real time. When the preset energy storage module exit node is approaching, the acquisition frequency is increased, a deviation analysis trigger signal is sent to the deviation analysis unit, and data is transmitted synchronously. The thermal power unit is divided into cold-state unit, warm-state unit, and hot-state unit.

[0055] The data monitoring module of the execution monitoring unit is set with a sampling frequency reference value. When the current time is detected With preset energy storage module exit node satisfy ,in When the pre-set monitoring duration is used, the data collection frequency is from Upgraded to ,and After increasing the data collection frequency, the data monitoring module... The system continuously collects data on the actual output of thermal power units, the actual charging and discharging power of energy storage modules, and the actual electricity consumption of users. The collected real-time data is then encapsulated into standard data frames and transmitted synchronously to the deviation analysis unit along with the deviation analysis trigger signal.

[0056] The data monitoring module of the execution monitoring unit first sets a baseline value for the acquisition frequency. When the system detects that the current time and the preset energy storage module exit node meet the condition that "the current time is within the preset pre-monitoring time before the exit node," the data monitoring module will increase the acquisition frequency from the baseline value to a higher frequency, and the increased frequency is at least twice the baseline value. After the frequency is increased, the data monitoring module will continuously acquire the actual output of the thermal power unit, the actual charging and discharging power of the energy storage module, and the actual electricity consumption data on the user side at this higher frequency. It will also encapsulate this real-time data into standard data frames and transmit them synchronously to the deviation analysis unit along with the deviation analysis trigger signal.

[0057] The baseline acquisition frequency mentioned here refers to the basic acquisition frequency under normal monitoring cycles, generally set at once per second, which just meets the needs of daily basic data acquisition. The preset advance monitoring duration refers to the time threshold before the energy storage module exits the system to start high-frequency monitoring, usually set to a minute-level value such as 5 minutes, to trigger subsequent high-frequency data acquisition. The increase in acquisition frequency is also important, and it must be controlled to "the increased frequency ≥ twice the baseline value", such as increasing it from once per second to five times per second. This can avoid excessive occupation of system resources and waste, and can accurately capture transient data. The standard data frame is a real-time data packet packaged in a unified format, usually implemented using JSON or binary encoding, to ensure the data structure is standardized and to make subsequent parsing faster.

[0058] In practice, during a preset time period before the energy storage module exits the node, the data monitoring module dynamically increases the acquisition frequency to perform high-frequency sampling of the thermal power unit output, energy storage charging and discharging power, and user-side electricity consumption. This high-frequency data, encapsulated in a standard format, is transmitted synchronously with the deviation analysis trigger signal. This allows the deviation analysis unit to quickly identify trends in output deviation based on the densely sampled data. Triggering frequency adjustments through a preset time threshold also ensures that the data acquisition density before critical nodes precisely matches the system response requirements, preventing lag in coordinated control due to slow data updates.

[0059] When the command issuing module of the execution monitoring unit sends the target output command to the thermal power unit and the charging / discharging power command to the energy storage module, it will simultaneously attach a command validity duration parameter. If the thermal power unit or the energy storage module does not send a command execution confirmation signal to the command issuing module within the command validity duration, the command issuing module will resend the target output command or charging / discharging power command to the corresponding equipment, and adjust the validity duration of the resent command to 1.5 times the original validity duration. At the same time, the command issuing module will send a command retransmission flag to the data monitoring module. When the data monitoring module collects the operating data for which no confirmation signal has been received, it will associate the command retransmission flag with the operating data of the corresponding equipment and transmit it synchronously to the deviation analysis unit along with the actual power consumption data on the user side.

[0060] In practical applications, timestamps combined with timers are typically used. Their core function is to ensure the device responds with an acknowledgment signal within a specified timeframe. A command retransmission flag is used to identify whether a command is being repeatedly sent; it's usually designed using binary identifiers or hash values. Its main purpose is to distinguish the device's operational data for the first and retransmitted commands within the data record. As for the dynamic adjustment mechanism, it's essentially a strategy that adaptively modifies the command's effective duration based on the device's actual response status. This is generally implemented using a progressive delay algorithm, aiming to tolerate a certain level of communication latency without compromising system response efficiency, thus finding a balance between the two.

[0061] When generating control commands, the command issuing module embeds a validity period parameter, such as setting the initial validity period to 30 seconds. If the thermal power unit does not return a confirmation signal within these 30 seconds, the command issuing module will automatically trigger a retransmission process: extending the validity period to 45 seconds and retransmitting the command. After receiving the "command retransmission flag," the data monitoring module appends this flag to the collected unit output data, for example, by adding a "command retransmission" identifier to the header of the data frame. In this way, when the deviation analysis unit processes the data subsequently, it can clearly distinguish which data represents normal command execution and which represents data after command retransmission, preventing abnormal data caused by communication delays from being mistaken for equipment malfunctions.

[0062] The deviation analysis unit includes a deviation comparison module and an instruction generation module. The deviation comparison module receives signals and data, extracts the planned and actual output values ​​of the unit at the exit node, and calculates the deviation. If the deviation is within the preset allowable range, the instruction generation module sends the original plan execution instruction to the execution monitoring unit to control the energy storage module to exit according to the plan. If the deviation exceeds the range, a deviation report is generated and transmitted to the end-of-line energy storage leak repair and calibration unit.

[0063] The deviation comparison module of the deviation analysis unit presets the allowable deviation range, which is set as a percentage of the rated power of the thermal power unit. When the deviation comparison module calculates the deviation value, the deviation value = |exit node unit planned value - actual unit output|, and compares the calculation result with the preset allowable deviation range to generate a comparison result.

[0064] When the monitoring unit triggers deviation analysis, the deviation comparison module first extracts the planned output value of the energy storage exit node from the data frame, for example, the planned value is the rated power. Simultaneously, the actual output value of the thermal power unit at that moment is obtained. The deviation value is determined through:

[0065] Calculations show that, for example, the actual output is equal to the rated power. The deviation value is The preset allowable range is dynamically adjusted based on the unit's current output level: if the unit is in a high-load range, for example... Rated power, permissible range can be set to If it is in a low-load range, for example Rated power, permissible range narrowed to The calculated deviation value is compared with the dynamic range. If... Deviation at Within the acceptable range, the system is considered to be in a safe operating condition; if the deviation exceeds the range, subsequent processing is triggered, resolving the equipment damage risk and misjudgment issues caused by the fixed deviation thresholds used in traditional peak-shaving systems. By dynamically adjusting the allowable deviation range, the system ensures accurate identification of output deviations exceeding safety boundaries under different load conditions. For example, during low-load phases, positive deviations exceeding 5% are promptly intercepted to prevent unit overheating, while during high-load phases, negative deviations within 8% are accurately allowed to avoid false triggering of leak repair actions. This solution provides a scientific basis for the coordinated control of energy storage exit nodes, effectively preventing excessive mechanical stress in units or grid frequency fluctuations caused by unreasonable threshold settings.

[0066] When the deviation exceeds the range, the deviation report generated by the instruction generation module of the deviation analysis unit also includes information on the duration of the deviation. The duration of the deviation is the cumulative time from the first detection of the deviation exceeding the range to the generation of the deviation report. If the duration of the deviation exceeds a preset threshold, the instruction generation module will also send an equipment status warning signal to the execution monitoring unit and simultaneously trigger the data monitoring module to collect the operating parameters of key components of the thermal power unit.

[0067] When the deviation comparison module detects that the output deviation of the thermal power unit exceeds the allowable range, the timer module starts recording the duration of the deviation. The deviation duration information is written into the deviation report and transmitted to the instruction generation module. The instruction generation module compares the deviation duration with a preset threshold in real time; if the former exceeds the latter, an equipment status warning signal is generated. After this signal is sent to the execution monitoring unit, the data monitoring module immediately initiates specialized data acquisition of key parameters such as turbine rotor temperature, boiler tube wall stress, and bearing vibration amplitude. During the acquisition process, the data monitoring module selects the corresponding sensor signal channels according to a preset parameter list, acquires data at a sampling rate higher than the conventional frequency, and associates and stores the acquisition results with the equipment status warning signal.

[0068] In some specific implementations, the preset threshold can be set to 30 minutes for cold-state units and 15 minutes for hot-state units. This value is determined based on the difference in the units' ability to withstand continuous deviations under different hot-state conditions. When the duration of the deviation reaches the threshold... In this case, the data monitoring module can start the background data cache of key parameters in advance to provide a benchmark reference for subsequent special collection.

[0069] The end-point energy storage leakage calibration unit includes a difference calculation module and a leakage control module. The difference calculation module receives deviation reports and calculates the total difference between the actual and planned power generation for the entire cycle before the end of the power generation plan. The leakage control module generates a linear leakage compensation command based on the difference and sends it to the energy storage module.

[0070] When the differential calculation module of the end-point energy storage leakage compensation calibration unit calculates the total power difference, it uses the cumulative value of the planned power generation in each time period of the time-segmented linear power generation plan as the planned total power, and the cumulative value of the actual power generation of the thermal power unit and energy storage module collected by the real-time execution and status monitoring unit as the actual total power. The total power difference is the absolute value of the difference between the two. The linear leakage compensation command generated by the leakage compensation control module includes the leakage compensation power start value, the leakage compensation power end value and the leakage compensation duration. The leakage compensation power changes linearly from the start value to the end value over time, and the rate of change of the leakage compensation power is set as a percentage of the rated power of the energy storage module.

[0071] The time-segmented linear power generation plan divides the peak-shaving cycle into multiple consecutive time periods. The planned power generation for each time period is calculated by integrating the linear change curves of the target output of thermal power units and the charging and discharging power of energy storage modules. In practical applications, a time series accumulation algorithm can be used to construct a benchmark power generation that can be quantitatively evaluated. The total power difference refers to the absolute difference between the planned total power generation and the actual total power generation during the entire peak-shaving cycle. It is usually calculated by combining a data accumulator with an absolute value calculator to avoid the accumulation of errors caused by the mutual cancellation of positive and negative deviations. The linear leakage compensation command is a set of command parameters that control the energy storage module to perform linear power adjustment. It is generally implemented using a ramp function generator. The leakage compensation power start value is set as a percentage of the current available power of the energy storage module, the leakage compensation power end value is set as zero power state, and the leakage compensation duration is determined by calculating the ratio of the total power difference to the charging and discharging efficiency of the energy storage module.

[0072] At the end of the peak-shaving cycle, the planned power generation of all time periods in the time-segmented linear power generation plan is accumulated to form a baseline value of the planned total power. The actual output data of thermal power units and the actual charging and discharging data of energy storage modules are calculated by time integration to form the cumulative value of the actual total power. The absolute value of the difference between the two can be calculated to accurately reflect the total power gap of the entire cycle. The leakage control module will generate a linear adjustment command including the starting power, the ending power and the duration based on the total gap value, combined with the remaining available capacity and charging and discharging efficiency of the energy storage modules. The leakage power decreases linearly from the starting value to the ending value at a fixed slope. The slope is set according to the percentage limit of the rated power of the energy storage module to ensure that the power adjustment process is always within the safe operating range of the equipment. Traditional peak-shaving systems often only perform local deviation compensation in the middle stage and lack a full-cycle power balance calibration mechanism, which can easily lead to the final power imbalance between supply and demand. Moreover, existing energy storage replenishment methods mostly use constant power charging and discharging, which can easily cause sudden changes in grid power. By carrying out full-cycle differential calculation and linear power adjustment at the end stage, we can achieve final power balance while ensuring equipment safety, and avoid the adverse effects of power step on grid stability.

[0073] The system periodically acquires grid load forecast data, generator operating parameters, and energy storage status information through the data acquisition module of the electricity demand generation unit. The decomposition module generates a power generation plan, including a target output curve and an energy storage exit time point, based on the generator's minimum stable load and energy storage charging / discharging efficiency. The execution monitoring unit's instruction issuing module decomposes the plan into generator output instructions and energy storage charging / discharging instructions, while the data monitoring module collects equipment operating data at a base frequency. When the system detects that the current time is approaching the energy storage exit point, the data acquisition frequency is increased to a preset high-frequency mode to capture dynamic data during the generator output adjustment phase. After receiving the high-frequency data, the deviation analysis unit calculates the deviation rate between the planned and actual output. If the deviation rate is below a threshold, the original plan to exit energy storage is maintained; otherwise, a deviation report is generated and end-point leakage compensation is triggered. Before the end of the peak-shaving cycle, the end-point leakage compensation calibration unit accumulates the difference between the planned and actual total power generation, generates a leakage compensation power instruction that varies linearly with time, and eliminates the power difference through the charging and discharging operations of the energy storage module.

[0074] Compared to existing technologies, current peak-shaving systems lack a deviation verification mechanism at the energy storage exit point, leading to the risk of sudden power surges during unit takeover. This system achieves a coordinated transition between unit output and energy storage charging / discharging through a closed-loop control architecture. At critical energy storage exit points, high-frequency monitoring and deviation analysis effectively prevent power supply gaps. A linear leakage compensation mechanism at the end of the cycle ensures full-cycle power balance, eliminating the accumulated errors commonly seen in the later stages of traditional peak-shaving. The system reduces equipment wear caused by frequent unit adjustments through a phased control strategy, while optimizing the operating time of energy storage modules and extending their lifespan.

[0075] Through the above technical solution, this application can accurately calibrate the total power generation deviation throughout the peak shaving cycle, and achieve smooth compensation for the power gap through the linear power adjustment of the end-point energy storage module. The linear change characteristic of the power compensation avoids the impact on the power grid, while the change rate based on the rated power of the energy storage ensures the safe operation of the equipment. Ultimately, it ensures that the actual total power generation at the end of the peak shaving period is completely matched with the planned total power generation, and completely solves the problem of power supply and demand imbalance caused by the accumulation of deviations in the intermediate stage in traditional technologies.

[0076] The technical scope of this invention is not limited to the content described above. Those skilled in the art can make various modifications and variations to the above embodiments without departing from the technical concept of this invention, and all such modifications and variations should fall within the protection scope of this invention.

Claims

1. A rapid start-stop peak-shaving coordinated control system for a 660MW thermal power unit, characterized in that, It includes an electricity demand generation unit, a data acquisition module, and a dismantling module. The data acquisition module collects historical electricity consumption, real-time electricity consumption trends, rated output and minimum stable load of thermal power units, rated capacity and charging / discharging efficiency data of energy storage modules. Based on the collected data, the dismantling module generates a power generation plan that includes the target output value of thermal power units, the charging / discharging power value of energy storage modules, and preset energy storage module exit nodes, and transmits it to the execution monitoring unit. The execution monitoring unit includes an instruction issuing module and a data monitoring module. After receiving the plan, the instruction issuing module sends a target output instruction to the thermal power unit and a charging / discharging power instruction to the energy storage module. The data monitoring module collects the actual output of the thermal power unit, the actual charging / discharging power of the energy storage module, and the actual electricity consumption data on the user side in real time. When the preset energy storage module exit node is approaching, the acquisition frequency is increased, a deviation analysis trigger signal is sent to the deviation analysis unit, and data is transmitted synchronously. The thermal power unit is divided into cold-state unit, warm-state unit, and hot-state unit. The deviation analysis unit includes a deviation comparison module and an instruction generation module. The deviation comparison module receives signals and data, extracts the planned and actual output values ​​of the exit node unit, and calculates the deviation. If the deviation is within the preset allowable range, the instruction generation module sends the original plan execution instruction to the execution monitoring unit, and controls the energy storage module to exit according to the plan. If the deviation exceeds the range, a deviation report is generated and transmitted to the end-of-line energy storage leak repair and calibration unit. The end-point energy storage leakage calibration unit includes a difference calculation module and a leakage control module; the difference calculation module receives deviation reports and calculates the total difference between the actual and planned power generation for the entire cycle before the end of the power generation plan cycle; the leakage control module generates a linear leakage compensation command based on the difference and sends it to the energy storage module. The power generation plan generated by the decomposition module of the electricity demand generation unit is a time-segmented linear power generation plan. The target output value of the thermal power unit changes linearly with time, the charging and discharging power value of the energy storage module changes linearly with time, and the maximum charging and discharging power value of the energy storage module is consistent with the adjusted target output value of the thermal power unit in the corresponding time period. When the dismantling module generates a time-segmented linear power generation plan, the linear change slope of the target output value of the thermal power unit and the linear change slope of the charging and discharging power value of the energy storage module are both determined based on the thermal characteristic data of the thermal power unit. The linear change slope corresponding to the cold-state unit is smaller than that corresponding to the hot-state unit. When the disassembly module generates a time-sharing linear power generation plan, it sets corresponding linear change slope thresholds for three types of thermal characteristics: cold-state units, warm-state units, and hot-state units. When the unit is in a cold state: Slope of linear change of target output value of thermal power unit: ; Slope of linear change in the charging and discharging power value of the energy storage module: ; When the unit is in a warm state: Slope of linear change of target output value of thermal power unit: ; Slope of linear change in the charging and discharging power value of the energy storage module: ; When the unit is in hot condition: Slope of linear change of target output value of thermal power unit: ; Slope of linear change in the charging and discharging power value of the energy storage module: ; in For a 660MW thermal power unit with rated power, The rated power of the energy storage module, The unit of time is minutes. All are slope coefficients and satisfy And under the same thermal state, , , ; The data monitoring module of the execution monitoring unit is set with a data acquisition frequency reference value. When the current time is detected With preset energy storage module exit node satisfy ,in When the pre-set monitoring duration is used, the data collection frequency is from Upgraded to ,and The data monitoring module, after increasing the acquisition frequency, according to... The system continuously collects data on the actual output of thermal power units, the actual charging and discharging power of energy storage modules, and the actual electricity consumption of users. The collected real-time data is then encapsulated into standard data frames and transmitted synchronously to the deviation analysis unit along with the deviation analysis trigger signal.

2. The 660MW thermal power unit rapid start-stop peak-shaving coordinated control system according to claim 1, characterized in that: When the command issuing module of the execution monitoring unit sends the target output command to the thermal power unit and the charge / discharge power command to the energy storage module, it will simultaneously attach a command validity duration parameter. If the thermal power unit or the energy storage module does not send a command execution confirmation signal to the command issuing module within the command validity duration, the command issuing module will resend the target output command or charge / discharge power command to the corresponding device, and adjust the validity duration of the resent command to 1.5 times the original validity duration. At the same time, the command issuing module will send a command retransmission flag to the data monitoring module. When the data monitoring module collects the operation data of the confirmation signal, it will associate the command retransmission flag with the operation data of the corresponding device and record it, and transmit it synchronously to the deviation analysis unit along with the actual power consumption data on the user side.

3. The 660MW thermal power unit rapid start-stop peak-shaving coordinated control system according to claim 1, characterized in that: The deviation comparison module of the deviation analysis unit has a preset allowable deviation range, which is set based on the percentage of the rated power of the thermal power unit. When the deviation comparison module calculates the deviation value, the deviation value is calculated as |exit node unit planned value - actual unit output|. The calculation result is compared with the preset allowable deviation range and a comparison result is generated.

4. The 660MW thermal power unit rapid start-stop peak-shaving coordinated control system according to claim 3, characterized in that: When the deviation exceeds the range, the instruction generation module of the deviation analysis unit generates a deviation report that also includes information on the duration of the deviation, which is the cumulative time from the first detection of the deviation exceeding the range to the generation of the deviation report; If the deviation persists for a duration exceeding a preset threshold, the instruction generation module will also send an equipment status warning signal to the execution monitoring unit, and simultaneously trigger the data monitoring module to collect the operating parameters of key components of the thermal power unit.

5. The 660MW thermal power unit rapid start-stop peak-shaving coordinated control system according to claim 1, characterized in that: When calculating the total power difference, the differential calculation module of the terminal energy storage leakage compensation calibration unit uses the cumulative value of the planned power generation in each time period of the time-segmented linear power generation plan as the planned total power, and the cumulative value of the actual power generation of the thermal power unit and energy storage module collected by the real-time execution and status monitoring unit as the actual total power. The total power difference is the absolute value of the difference between the two. The linear leakage compensation command generated by the leakage compensation control module includes the leakage compensation power start value, the leakage compensation power end value, and the leakage compensation duration. The leakage compensation power changes linearly from the start value to the end value over time, and the rate of change of the leakage compensation power is set as a percentage of the rated power of the energy storage module.

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