A power plant carbon-electricity co-optimization scheduling method

Abstract

The present application relates to the technical field of power dispatch, in particular to a power plant carbon-electricity collaborative optimization dispatching method, comprising: initializing a carbon emission intensity parameter according to the current operating conditions of each generator unit; generating an initial output distribution result according to the load demand and the carbon emission intensity parameter; calculating an initial carbon emission response amount of each generator unit based on the initial output distribution result; updating the carbon emission intensity parameter based on the initial carbon emission response amount to obtain an updated carbon emission intensity parameter; generating an intermediate output distribution result based on the updated carbon emission intensity parameter; repeating iteration until a convergence condition is met to obtain a final output distribution result of each generator unit and dispatch each generator unit. The present application realizes carbon emission and power output collaborative optimization and improves carbon emission modeling accuracy by constructing a carbon emission intensity dynamic updating mechanism and an iterative optimization dispatching method.

Description

Technical Field

[0001] This invention relates to the field of power dispatching technology, specifically to a carbon-electricity coordinated optimization dispatching method for power plants. Background Technology

[0002] The ongoing low-carbon transformation of the power system is driving the shift in power plant dispatching methods from a traditional focus on meeting electricity load to a multi-objective, collaborative optimization approach that balances both electricity load and carbon emission constraints. In practice, thermal power units remain a crucial component of the power system, but their carbon emission levels are significantly influenced by various factors. Therefore, achieving optimized carbon emission coordination among multiple generating units while meeting electricity load demands has become a key issue in power system operation optimization.

[0003] Existing power generation dispatching methods typically prioritize minimum fuel cost or optimal economic efficiency, often employing static carbon emission coefficients or simplified linear models for carbon emission estimation. This approach fails to accurately reflect the actual carbon emission variations of generating units across different load ranges. Furthermore, while some methods introduce carbon constraints, they often neglect the dynamic impact of changes in unit operating conditions on carbon emission intensity, leading to discrepancies between dispatching results and actual operating conditions. Summary of the Invention

[0004] (a) Purpose of the invention The purpose of this invention is to provide a carbon-electricity coordinated optimization scheduling method for power plants. By constructing a dynamic update mechanism for carbon emission intensity and an iterative optimization scheduling method, the method achieves coordinated optimization of carbon emissions and power output, thereby improving the accuracy of carbon emission modeling.

[0005] (II) Technical Solution To address the above problems, this invention provides a carbon-electricity coordinated optimization scheduling method for power plants, comprising: Obtain the current operating status, real-time available output, and power regulation capacity parameters of each generator unit in the power plant; Initialize the carbon emission intensity parameters based on the current operating conditions of each generator set; Based on the load demand and the aforementioned carbon emission intensity parameters, combined with the real-time available output and power regulation capability parameters of each generator set, an initial output allocation result is generated; Based on the initial power output allocation results, the initial carbon emission response of each generator set is calculated; Based on the initial carbon emission response, the carbon emission intensity parameter is updated to obtain the updated carbon emission intensity parameter; Based on the updated carbon emission intensity parameters, load demand, real-time available output of each generator set, and power regulation capability parameters, an intermediate output allocation result is generated. Repeat the iteration until the convergence condition is met to obtain the final power output allocation result of each generator unit; Based on the final output allocation results of each generator set, the generator sets are scheduled.

[0006] In another aspect of the present invention, preferably, the current operating condition is obtained by the following method, including: Collect operating data from each generator set, including the current output value; The load rate of each generator set is determined based on the ratio of its current output value to its rated capacity, and the corresponding current operating condition is determined based on the load rate. The real-time available output power is obtained through the following methods, including: The real-time available output is obtained based on the rated capacity, current operating status, and upper and lower output limits of each generator set; The power regulation capability parameters include the generator set's ramp rate, start-stop characteristics, and regulation response capability.

[0007] In another aspect of the present invention, preferably, the initialization of carbon emission intensity parameters based on the current operating conditions of each of the generator sets includes: Historical carbon emission data of each generator unit under different operating conditions were obtained, and carbon emission characteristic curves were constructed. Based on the current operating conditions of each generator set, the corresponding operating range is matched in the carbon emission characteristic curve; Based on the carbon emission value per unit of electricity generated within the operating range, the carbon emission intensity parameters of each generator unit are calculated.

[0008] In another aspect of the present invention, preferably, the step of generating an initial power allocation result based on load demand and the carbon emission intensity parameter, combined with the real-time available power output and power regulation capability parameters of each generator set, includes: Obtain the load demand for the next scheduling cycle; The generator sets are arranged in ascending order according to their carbon emission intensity parameters to construct a carbon emission queue. According to the aforementioned carbon emission queue, the power output of each generator unit is allocated, including: Based on the carbon emission queue, power output is allocated sequentially from the generator set with the lowest carbon emission intensity until the load demand is met. When allocating power output to each generator set, the initial power output value of the corresponding generator set is determined based on the real-time available power output and power regulation capability parameters. The generator sets participating in the power output allocation are determined as the initial scheduling order according to the carbon intensity sequence, and the generator sets not participating in the power output allocation are set as standby units. The initial output allocation result is constructed based on the initial output value and initial scheduling order of each generator set.

[0009] In another aspect of the present invention, preferably, the step of determining the initial output value of the corresponding generator set based on the real-time available output and power regulation capability parameters when allocating output to each generator set includes: Obtain the current remaining load demand to be allocated; Based on the real-time available output and lower limit constraint of the generator set, the allocable output range of the generator set is determined; Based on the ramp rate constraint of the generator set and the actual output value of the previous scheduling cycle, the maximum allowable output variation range of the generator set in the current scheduling cycle is calculated. The allocable output range is corrected according to the maximum output range to obtain the corrected allocable output range. Based on the start-stop characteristics and regulation response capability of the generator set, determine whether the generator set meets the dynamic response conditions for participating in the corrected allocable output range. Provided that the dynamic response conditions are met, the initial output value of the generator set is determined to be the smaller value between the remaining load demand and the upper limit of the corrected allocable output range.

[0010] In another aspect of the present invention, preferably, the calculation of the initial carbon emission response of each generator set based on the initial power output allocation result includes: Based on the initial output value and the duration of the next scheduling cycle, an output sequence for the next scheduling cycle is constructed, the output sequence including multiple consecutive output intervals; Based on the preset unit efficiency curves of each generator set, determine the carbon emission coefficient per unit of power generation corresponding to different output ranges. Based on the carbon emission coefficient per unit of electricity generated, the stage-specific carbon emissions of each generator set in different output ranges are calculated. Based on a preset fluctuation penalty algorithm, the phased carbon emission amount is corrected to obtain the carbon emission response amount for each phase. The initial carbon emission response of each generator unit is obtained by weighting the carbon emissions at each stage.

[0011] In another aspect of the present invention, preferably, the step of calculating the stage-specific carbon emissions of each generator unit in different output ranges based on the carbon emission coefficient per unit of electricity generation includes: Determine the duration of each output interval and the corresponding average output value; Based on the average output value and interval duration, the power generation of each output interval is calculated; Multiply the power generation in each output range by the corresponding carbon emission coefficient per unit of power generation to obtain the phased carbon emission amount.

[0012] In another aspect of the present invention, preferably, the preset fluctuation penalty algorithm includes: Obtain the output change between adjacent output intervals and calculate the corresponding volatility; When volatility is below a preset threshold, the corresponding penalty coefficient is the benchmark value; When the volatility is greater than or equal to the preset threshold, the corresponding dynamic penalty coefficient is calculated according to the volatility penalty algorithm. Each output range is assigned a corresponding penalty coefficient, forming a penalty coefficient sequence.

[0013] In another aspect of the present invention, preferably, the step of correcting the staged carbon emissions based on a preset fluctuation penalty algorithm to obtain the carbon emission response for each stage includes: Match the phased carbon emissions of each output range with the corresponding penalty coefficient; The staged carbon emissions for each output range are multiplied by the corresponding penalty coefficient to obtain the corrected carbon emissions for each output range. The carbon emission amounts for each output range are weighted to obtain the carbon emission response for each stage.

[0014] In another aspect of the invention, preferably, the convergence condition includes at least two consecutive intermediate output allocation results being the same.

[0015] (III) Beneficial Effects The above-described technical solution of the present invention has the following beneficial technical effects: This invention initializes carbon emission intensity parameters based on the current operating conditions of the generating units and calculates the carbon emission response based on the output allocation results, achieving dynamic updates to the carbon emission intensity. This allows the carbon emission parameters to adaptively adjust to changes in the unit's operating status, improving modeling accuracy and real-time performance. Through multi-dimensional constraints such as load demand, power regulation capacity, and real-time available output, it achieves collaborative optimization scheduling of multiple generating units, effectively improving the system's low-carbon operation level. Simultaneously, an iterative optimization mechanism is employed, using a closed-loop feedback process of output allocation, carbon emission response, and parameter updates to continuously correct the scheduling results and gradually approach the optimal solution, enhancing the system's global optimization capability. Attached Figure Description

[0016] Figure 1 This is an overall flowchart of one embodiment of the present invention. Detailed Implementation

[0017] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to specific embodiments and the accompanying drawings. It should be understood that these descriptions are merely exemplary and not intended to limit the scope of the invention. Furthermore, descriptions of well-known structures and techniques are omitted in the following description to avoid unnecessarily obscuring the concept of the invention.

[0018] Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without inventive effort are within the scope of protection of the present invention.

[0019] Furthermore, the technical features involved in the different embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0020] Example 1 A carbon-electricity coordinated optimization scheduling method for power plants. Figure 1 An overall flowchart of one embodiment of the present invention is shown, as follows: Figure 1 As shown, it includes: The system acquires the current operating conditions, real-time available output, and power regulation capacity parameters of each generator unit within the power plant. Operating conditions may include unit start-up / shutdown status and current load factor. In this embodiment, the current operating conditions are obtained through the following methods: collecting operating data from each generator unit, including the current output value; and collecting operating data from each generator unit in real time through a monitoring system or distributed control system. The operating data includes at least the current output value and rated capacity, where the current output value characterizes the actual power output level of the generator unit within the current scheduling cycle, and the rated capacity characterizes the maximum stable output capacity allowed by the generator unit's design. Based on the ratio of the current output value to the rated capacity of each generator unit, the load factor of the generator unit is determined, and the corresponding current operating condition is determined based on the load factor. The load factor reflects the degree of occupancy of the unit's current operating load relative to its maximum capacity, and is calculated as the ratio of the current output value to the rated capacity. Real-time available output is the maximum active power that the unit can safely and stably output under current operating conditions. Real-time available output is obtained through the following methods: based on the rated capacity of each generator unit, the current operating status, and the upper and lower limits of output, the real-time available output is obtained; the rated capacity represents the maximum active power that the unit is allowed to output stably for a long period of time under design conditions, and is the theoretical upper limit of the unit's output capacity; the current operating status is used to characterize whether the unit is in normal operation, maintenance shutdown, fault shutdown, or standby status; the upper and lower limits of output include the minimum stable output and the maximum allowable output, which are used to reflect the physical boundaries formed by combustion stability, equipment safety, and control characteristics of the unit in actual operation. The power regulation capability parameters are used to characterize the response capability and dynamic regulation capability of each generator set to system dispatch commands under load change conditions, thereby reflecting the flexibility and constraint boundaries of the units participating in grid peak shaving, frequency regulation and load tracking. These parameters include: generator set ramp rate: used to characterize the maximum change capability of the generator set's active power output per unit time, including the ramp rate of ascent and ramp rate of descent; start-stop characteristics: used to describe the time and energy constraints that the unit needs to meet during the process of transitioning from shutdown to grid-connected operation and from operation to shutdown; and regulation response capability: used to characterize the unit's response speed and regulation accuracy to external load changes or dispatch commands.

[0021] Based on the current operating conditions of each generator set, the carbon emission intensity parameters are initialized. In this embodiment, this includes: acquiring historical carbon emission data for each generator set under different operating conditions and constructing a carbon emission characteristic curve; the historical carbon emission data comes from the long-term operation monitoring system or environmental online monitoring system, including carbon dioxide emissions per unit time and operating condition records. The carbon emission characteristic curve represents the variation law of carbon emission intensity per unit power generation of the generator set under different operating conditions. The operating conditions of the generator set can be used as the abscissa, and the carbon emission value per unit power generation can be used as the ordinate to fit the historical data, obtaining a continuous or piecewise function relationship curve. The fitting method can adopt piecewise linear fitting, polynomial fitting, or regression analysis-based methods to reflect the differences in emission characteristics of the generator set under different operating conditions.

[0022] Based on the current operating conditions of each generator set, the corresponding operating range is matched in the carbon emission characteristic curve; the function segment or data segment corresponding to the current operating condition is located in the constructed carbon emission characteristic curve, thereby determining the carbon emission characteristics under the current operating condition.

[0023] Based on the carbon emission value per unit of power generation within the operating range, the carbon emission intensity parameter of each generator set is calculated. That is, the corresponding carbon emission value per unit of power generation is extracted within the matched operating range and used as the carbon emission intensity parameter of the generator set under the current operating conditions.

[0024] Based on load demand and the aforementioned carbon emission intensity parameters, combined with the real-time available output and power regulation capability parameters of each generator set, an initial output allocation result is generated. Based on load demand, and under the premise of satisfying generator set output constraints and regulation capability constraints, an optimization objective is constructed based on the initial carbon emission intensity of each generator set. This objective is to minimize the system power supply balance error and the total carbon emissions. The initial output allocation result is generated by prioritizing the scheduling of generator sets with lower carbon emission intensity parameters. In this embodiment, the initial output allocation result is generated based on load demand and the aforementioned carbon emission intensity parameters, combined with the real-time available output and power regulation capability parameters of each generator set, including: Obtain load demand for the next scheduling cycle; predicted load data for the next scheduling cycle (such as 12 hours, 6 hours or 1 hour) can be obtained through the power grid dispatching system or energy management system (EMS).

[0025] The generator sets are arranged in ascending order according to their carbon emission intensity parameters to construct a carbon emission queue. According to the aforementioned carbon emission queue, the power output of each generator unit is allocated, including: Based on the aforementioned carbon emission queue, power output is allocated sequentially, starting with the generator set with the lowest carbon emission intensity, until the load demand is met; starting with the generator set with the lowest carbon emission intensity, each generator participates in the power output allocation.

[0026] When allocating power output to each generator set, the initial output value of the corresponding generator set is determined based on the real-time available output and power regulation capability parameters. For each generator set, the power output allocation must conform to the real-time available output and power regulation capability parameters. This embodiment includes: Obtain the current remaining load demand to be allocated; during the process of allocating power output one by one according to the carbon emission queue, calculate the total allocated power output in real time and compare it with the target load demand of the next scheduling cycle to obtain the remaining load demand that has not yet been met.

[0027] Based on the real-time available output and the lower limit constraint of the output of the generator set, the allocatable output range of the generator set is determined; here, the lower limit of output is the stable combustion output, and the allocatable output range is a closed range with the real-time available output as the maximum available output and the lower limit constraint as the minimum stable output.

[0028] Based on the ramp rate constraint of the generator set and the actual output value of the previous scheduling cycle, the maximum allowable output variation range of the generator set within the current scheduling cycle is calculated. The ramp rate constraint includes the upward ramp rate and the downward ramp rate, which represent the maximum increase or decrease in output per unit time, respectively. By combining the actual output value of the previous scheduling cycle with the duration of the current scheduling cycle, the maximum and minimum output that the unit is allowed to achieve within the current cycle can be calculated, thus forming an output variation range based on dynamic adjustment capability. Specifically, based on the duration of the current scheduling cycle, the upward ramp rate is multiplied by the scheduling cycle duration to obtain the maximum allowable increase in output within the scheduling cycle; similarly, the downward ramp rate is multiplied by the scheduling cycle duration to obtain the maximum allowable decrease in output within the scheduling cycle. Therefore, the maximum output variation range of the generator set within the current scheduling cycle relative to the previous cycle can be determined. Based on the actual output value of the previous scheduling cycle, the maximum output increase is added to obtain the maximum output value that the unit is allowed to reach in the current scheduling cycle; at the same time, based on the actual output value of the previous scheduling cycle, the maximum output decrease is subtracted to obtain the minimum output value that the unit is allowed to reach in the current scheduling cycle, thereby forming a dynamic output change range based on ramp rate constraints.

[0029] The allocable output range is corrected based on the maximum output variation range to obtain a corrected allocable output range. Specifically, the dynamic maximum output is compared with the maximum output of the allocable output range, and the smaller value is taken as the final allowed maximum output. The dynamic minimum output is compared with the minimum output of the allocable output range, and the larger value is taken as the final allowed minimum output, thereby obtaining a corrected output range that simultaneously satisfies the climbing constraint and the upper and lower limits of output constraints.

[0030] Based on the generator set's start-up and shutdown characteristics and regulation response capability, it is determined whether the generator set meets the dynamic response conditions for participating in the corrected allocable output range. Start-up and shutdown characteristics include parameters such as minimum start-up time, minimum shutdown time, start-up duration, and start-up cost. Regulation response capability may include indicators such as the unit's load response speed, control accuracy, and stability. When the generator set is in a constrained state (e.g., has not met the minimum start-up time or has not completed the start-up process), it can be determined that it does not meet the dynamic response conditions and therefore will not participate in the current output allocation.

[0031] Provided that the dynamic response conditions are met, the initial output value of the generator set is determined to be the smaller value between the remaining load demand and the upper limit of the corrected allocable output range. If the remaining load demand is greater than the corrected upper limit of the generator set's output, the generator set's output is set to the upper limit of its corrected range; if the remaining load demand is within this range, the generator set's output is directly set to the remaining load demand to avoid over-allocation.

[0032] The generator sets participating in the power output allocation are determined as the initial scheduling order according to the carbon intensity sequence, and the generator sets not participating in the power output allocation are set as standby units; the initial power output allocation result is constructed based on the initial power output value and initial scheduling order of each generator set.

[0033] Based on the initial power output allocation results, the initial carbon emission response of each generator unit is calculated, including: Based on the initial output value and the duration of the next scheduling cycle, an output sequence for the next scheduling cycle is constructed, comprising multiple continuous output intervals. Using the initial output value within the next scheduling cycle as a benchmark, and considering potential load adjustments, the entire scheduling cycle is divided into several continuous time sub-intervals, each corresponding to an approximately stable output level. The output sequence can be a discrete piecewise constant sequence or a discrete time sequence divided by time steps, such as hourly or minute-level sequences.

[0034] Based on the preset unit efficiency curves of each generator set, the carbon emission coefficient per unit of electricity generated is determined for different output ranges. The unit efficiency curves reflect the variation of fuel consumption rate of the generator set at different output levels. Based on the preset unit efficiency curves, a mapping relationship between output and fuel consumption rate can be established. Combined with the fuel carbon emission factor, the carbon emission coefficient per unit of electricity generated is obtained. Within different output ranges, the carbon emission coefficient can be taken as the range average, range median, or integral average to ensure that the calculation results can reflect the nonlinear characteristics of unit efficiency changes within the range.

[0035] Based on the carbon emission coefficient per unit of power generation, the staged carbon emissions of each generator unit in different output intervals are calculated. For each output interval, the average output value within the interval is multiplied by the corresponding time length to obtain the power generation for that stage. Then, the power generation is multiplied by the corresponding carbon emission coefficient per unit to obtain the staged carbon emissions. When the output sequence is continuously changing, an integral form can be used for calculation, i.e., integrating the product of the output function and the carbon emission coefficient function over time to obtain a more accurate staged carbon emission result. This embodiment includes: Determine the interval duration and corresponding average output value for each output interval; calculate the power generation of each output interval based on the average output value and interval duration; multiply the power generation of each output interval by the corresponding carbon emission coefficient per unit power generation to obtain the staged carbon emission amount.

[0036] Based on a preset fluctuation penalty algorithm, the staged carbon emissions are corrected to obtain the carbon emission response for each stage. When the output fluctuation is large, the carbon emissions for the corresponding stage can be amplified and corrected by a certain penalty coefficient. When the output is relatively stable, the penalty coefficient is close to 1, thus maintaining the original calculation result. In this embodiment, the preset fluctuation penalty algorithm includes: Obtain the output change between adjacent output intervals and calculate the corresponding volatility. In the constructed segmented output sequence, calculate the average output difference or the final output difference between two adjacent output intervals, and use this as the output change within that time period. Volatility is defined as the absolute value of the output change per unit time.

[0037] When volatility is below a preset threshold, the corresponding penalty coefficient is the baseline value. When volatility is below the preset threshold, it indicates that the unit's output changes are relatively stable, and its operating state is close to the stable economic operating range. In this case, the corresponding penalty coefficient is set to the baseline value, which is 1, to indicate that no additional correction is made for carbon emissions. When volatility is greater than or equal to the preset threshold, the corresponding dynamic penalty coefficient is calculated according to the volatility penalty algorithm. The penalty function can be a piecewise function, a linear function, or a nonlinear function, such as an exponential function or a quadratic function that monotonically increases with volatility, so that the greater the volatility, the higher the corresponding penalty coefficient, reflecting the negative impact of unstable operation on carbon emission efficiency. By setting a volatility threshold to classify the unit's operating state, using a baseline penalty coefficient under low volatility conditions and introducing a dynamic penalty coefficient under high volatility conditions, it is possible to distinguish between stable and unstable operating conditions, effectively avoiding unnecessary over-correction for normal stable operation.

[0038] Each output range is assigned a corresponding penalty coefficient, forming a penalty coefficient sequence.

[0039] Furthermore, based on a preset fluctuation penalty algorithm, the phased carbon emissions are corrected to obtain the carbon emission response for each phase, including: The staged carbon emissions for each output interval are matched with the corresponding penalty coefficients. The staged carbon emissions for each output interval are then multiplied by the corresponding penalty coefficient to obtain the corrected carbon emissions for each output interval. These corrected carbon emissions are then weighted to obtain the staged carbon emission response. When correcting staged carbon emissions, the calculated staged carbon emissions for each output interval are first matched with the corresponding penalty coefficients to ensure a one-to-one correspondence between the carbon emissions for each time interval and its operational fluctuation characteristics. Subsequently, the staged carbon emissions for each output interval are multiplied by the corresponding penalty coefficient to obtain the corrected staged carbon emissions. A penalty coefficient greater than 1 indicates that fluctuations lead to increased carbon emissions; a penalty coefficient equal to 1 indicates no correction effect.

[0040] The initial carbon emission response of each generator unit is obtained by weighting the carbon emissions at each stage.

[0041] Based on the initial carbon emission response, the carbon emission intensity parameter is updated to obtain the updated carbon emission intensity parameter. The initial carbon emission response is then divided by the duration of the next scheduling cycle to obtain the corresponding carbon emission value per unit of electricity generated, which is the updated carbon emission intensity parameter. This transformation of the carbon emission intensity parameter from static to dynamic allows it to reflect the true emission characteristics of the generating units under the current scheduling environment.

[0042] Based on the updated carbon emission intensity parameters, load demand, real-time available output of each generator set, and power regulation capability parameters, an intermediate output allocation result is generated; the method for generating the intermediate output allocation result here is the same as the method for generating the initial output allocation result described above.

[0043] Repeat the iteration until the convergence condition is met to obtain the final output allocation result of each generator set. The convergence condition includes that at least two consecutive intermediate output allocation results are the same.

[0044] Based on the final output allocation results of each generator set, the generator sets are scheduled.

[0045] This embodiment achieves unified and coordinated optimization of carbon constraints and power dispatch by constructing a collaborative iterative optimization mechanism for carbon emission intensity and power generation output, demonstrating significant carbon-electricity synergy. By initializing and dynamically updating carbon emission intensity parameters based on unit operating conditions, carbon emission indicators can be adjusted in real time according to load changes, improving the consistency between carbon emission assessment and dispatch decisions. During power output allocation, a carbon emission intensity ranking mechanism is introduced to prioritize low-carbon units in load sharing, guiding dispatch strategies towards low-carbon optimization from the source. Simultaneously, by combining real-time available unit output and constraints such as ramp-up and start-up / shutdown, the synergistic satisfaction of carbon emission targets and grid safety constraints is achieved, improving the feasibility and stability of the dispatch scheme. Furthermore, by updating carbon emission intensity parameters through carbon emission response feedback, a closed-loop iterative mechanism of "output-emission-re-optimization" is formed, allowing carbon emission assessment results to have a reverse effect on the dispatch process, enhancing the system's adaptive optimization capability. Simultaneously, by combining fluctuation penalties and phased carbon emission calculations, the impact of unit operating fluctuations on carbon emissions can be characterized, improving assessment accuracy and robustness. By obtaining a stable power output scheme through iterative convergence, the overall carbon emissions are reduced while ensuring load balance, effectively improving the carbon-electricity synergistic optimization level of the power generation system.

[0046] It should be understood that the specific embodiments described above are merely illustrative or explanatory of the principles of the invention and do not constitute a limitation thereof. Therefore, any modifications, equivalent substitutions, improvements, etc., made without departing from the spirit and scope of the invention should be included within the protection scope of the invention. Furthermore, the appended claims are intended to cover all variations and modifications falling within the scope and boundaries of the appended claims, or equivalent forms of such scope and boundaries.

[0047] The present invention has been described above with reference to embodiments thereof. However, these embodiments are merely illustrative and not intended to limit the scope of the invention. The scope of the invention is defined by the appended claims and their equivalents. Various substitutions and modifications can be made by those skilled in the art without departing from the scope of the invention, and all such substitutions and modifications should fall within the scope of the invention.

[0048] Although embodiments of the present invention have been described in detail, it should be understood that various changes, substitutions, and modifications can be made to the embodiments of the present invention without departing from the spirit and scope of the invention.

[0049] Obviously, the above embodiments are merely illustrative examples for clear explanation and are not intended to limit the implementation. Those skilled in the art will recognize that other variations or modifications can be made based on the above description. It is neither necessary nor possible to exhaustively list all possible implementations here. However, obvious variations or modifications derived therefrom are still within the scope of protection of this invention.

Claims

1. A method for carbon-electricity co-optimization scheduling of power plants, characterized in that, include: Obtain the current operating status, real-time available output, and power regulation capacity parameters of each generator unit in the power plant; Initialize the carbon emission intensity parameters based on the current operating conditions of each generator set; Based on the load demand and the aforementioned carbon emission intensity parameters, combined with the real-time available output and power regulation capability parameters of each generator set, an initial output allocation result is generated; Based on the initial power output allocation results, the initial carbon emission response of each generator set is calculated; Based on the initial carbon emission response, the carbon emission intensity parameter is updated to obtain the updated carbon emission intensity parameter; Based on the updated carbon emission intensity parameters, load demand, real-time available output of each generator set, and power regulation capability parameters, an intermediate output allocation result is generated. Repeat the iteration until the convergence condition is met to obtain the final power output allocation result of each generator unit; Based on the final output allocation results of each generator set, the generator sets are scheduled.

2. The method of claim 1, wherein, The current operating condition is obtained through the following methods, including: Collect operating data from each generator set, including the current output value; The load rate of each generator set is determined based on the ratio of its current output value to its rated capacity, and the corresponding current operating condition is determined based on the load rate. The real-time available output power is obtained through the following methods, including: The real-time available output is obtained based on the rated capacity, current operating status, and upper and lower output limits of each generator set; The power regulation capability parameters include the generator set's ramp rate, start-stop characteristics, and regulation response capability.

3. The method of claim 1, wherein, The initialization of carbon emission intensity parameters based on the current operating conditions of each generator set includes: Historical carbon emission data of each generator unit under different operating conditions were obtained, and carbon emission characteristic curves were constructed. Based on the current operating conditions of each generator set, the corresponding operating range is matched in the carbon emission characteristic curve; Based on the carbon emission value per unit of electricity generated within the operating range, the carbon emission intensity parameters of each generator unit are calculated.

4. The method of claim 1, wherein, Based on the load demand and the carbon emission intensity parameters, combined with the real-time available output and power regulation capability parameters of each generator set, an initial output allocation result is generated, including: Obtain the load demand for the next scheduling cycle; The generator sets are arranged in ascending order according to their carbon emission intensity parameters to construct a carbon emission queue. According to the aforementioned carbon emission queue, the power output of each generator unit is allocated, including: Based on the carbon emission queue, power output is allocated sequentially from the generator set with the lowest carbon emission intensity until the load demand is met. When allocating power output to each generator set, the initial power output value of the corresponding generator set is determined based on the real-time available power output and power regulation capability parameters. The generator sets participating in the power output allocation are determined as the initial scheduling order according to the carbon intensity sequence, and the generator sets not participating in the power output allocation are set as standby units. The initial output allocation result is constructed based on the initial output value and initial scheduling order of each generator set.

5. The method of claim 4, wherein, When allocating power output to each generator set, the initial power output value of the corresponding generator set is determined based on real-time available power output and power regulation capability parameters, including: Obtain the current remaining load demand to be allocated; Based on the real-time available output and lower limit constraint of the generator set, the allocable output range of the generator set is determined; Based on the ramp rate constraint of the generator set and the actual output value of the previous scheduling cycle, the maximum allowable output variation range of the generator set in the current scheduling cycle is calculated. The allocable output range is corrected according to the maximum output range to obtain the corrected allocable output range. Based on the start-stop characteristics and regulation response capability of the generator set, determine whether the generator set meets the dynamic response conditions for participating in the corrected allocable output range. Provided that the dynamic response conditions are met, the initial output value of the generator set is determined to be the smaller value between the remaining load demand and the upper limit of the corrected allocable output range.

6. The method of claim 5, wherein, The calculation of the initial carbon emission response of each generator unit based on the initial power output allocation results includes: Based on the initial output value and the duration of the next scheduling cycle, an output sequence for the next scheduling cycle is constructed, the output sequence including multiple consecutive output intervals; Based on the preset unit efficiency curves of each generator set, determine the carbon emission coefficient per unit of power generation corresponding to different output ranges. Based on the carbon emission coefficient per unit of electricity generated, the stage-specific carbon emissions of each generator set in different output ranges are calculated. Based on a preset fluctuation penalty algorithm, the phased carbon emission amount is corrected to obtain the carbon emission response amount for each phase. The initial carbon emission response of each generator unit is obtained by weighting the carbon emissions at each stage.

7. The method of claim 6, wherein, The calculation of the phased carbon emissions of each generator unit in different output ranges based on the carbon emission coefficient per unit of electricity generation includes: Determine the duration of each output interval and the corresponding average output value; Based on the average output value and interval duration, the power generation of each output interval is calculated; Multiply the power generation in each output range by the corresponding carbon emission coefficient per unit of power generation to obtain the phased carbon emission amount.

8. The power plant carbon-electricity coordinated optimization scheduling method according to claim 7, characterized in that, The preset fluctuation penalty algorithm includes: Obtain the output change between adjacent output intervals and calculate the corresponding volatility; When volatility is below a preset threshold, the corresponding penalty coefficient is the benchmark value; When the volatility is greater than or equal to the preset threshold, the corresponding dynamic penalty coefficient is calculated according to the volatility penalty algorithm. Each output range is assigned a corresponding penalty coefficient, forming a penalty coefficient sequence.

9. The power plant carbon-electricity coordinated optimization scheduling method according to claim 8, characterized in that, The method based on a preset fluctuation penalty algorithm corrects the phased carbon emissions to obtain the carbon emission response for each phase, including: Match the phased carbon emissions of each output range with the corresponding penalty coefficient; The staged carbon emissions for each output range are multiplied by the corresponding penalty coefficient to obtain the corrected carbon emissions for each output range. The carbon emission amounts for each output range are weighted to obtain the carbon emission response for each stage.

10. The power plant carbon-electricity coordinated optimization scheduling method according to claim 9, characterized in that, The convergence condition includes at least two consecutive intermediate output allocation results being the same.

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