Unit operation control method and device and computer equipment

Abstract

The invention relates to a unit operation control method and device and computer equipment. The method comprises the following steps: acquiring a current electric power task, an operation time period corresponding to the current electric power task, and current operation parameters and unit limiting conditions of each electric power unit in the operation time period; the current operation parameters comprise unit output power and unit carbon emission; the sum of the unit output power of each power unit in the power unit set is greater than or equal to the power load demand in the current power task; taking the minimization of the total carbon emission as a target, taking unit limiting conditions as constraints, and selecting a target unit set from the power unit sets; the total carbon emission is the sum of unit carbon emission of each power unit in the power unit set; and controlling each power unit in the target unit set to be put into operation in the operation time period.

Description

Technical Field

[0001] The present application relates to the field of electric power technology, and in particular to a method, device and computer equipment for controlling unit operation. Background Art

[0002] As global climate change becomes increasingly severe, green, low-carbon and environmental protection have become the core goals of energy development in all countries.

[0003] At present, the power generation side of the power system is still dominated by thermal power, which makes it one of the main sources of carbon emissions. Most traditional power system operation methods only focus on power quality and economy, but ignore important environmental factors such as carbon emissions.

[0004] Therefore, how to effectively reduce carbon emissions while ensuring a balanced supply of electricity has become a key issue that needs to be urgently addressed in the power industry. Summary of the invention

[0005] Based on this, it is necessary to provide a unit operation control method, device and computer equipment that can optimize the carbon emissions of the power system in response to the above technical problems.

[0006] In a first aspect, the present application provides a method for determining an operation strategy of an electric power system, the method comprising:

[0007] Obtaining a current power task and an operating period corresponding to the current power task, as well as current operating parameters and unit constraints of each power unit within the operating period; the current operating parameters include unit output power and unit carbon emissions; the unit constraints include at least unit distance dimension constraints, unit operating parameter dimension constraints, and unit power generation cost dimension constraints; each power unit includes at least one new energy unit, and / or at least one traditional energy unit;

[0008] Determine at least one power unit set according to each power unit; the sum of the unit output powers of each power unit in the power unit set is greater than or equal to the power load demand in the current power task;

[0009] Taking minimizing the total carbon emissions as a goal and taking the unit restriction condition as a constraint, a target unit set is selected from each power unit set; the total carbon emissions is the sum of the unit carbon emissions of each power unit in the power unit set;

[0010] Control each power unit in the target unit set to be put into operation within the operation period.

[0011] In one embodiment, obtaining the current operating parameters of each power unit in the operating period includes:

[0012] Obtaining historical operating parameters of the power unit when performing historical power tasks;

[0013] According to the task difference between the historical power task and the current power task, the current operating parameters of the power unit are predicted.

[0014] In one of the embodiments, the limiting conditions of the unit operation parameter dimension include at least the maximum output power, minimum output power, ramp rate, start and stop time of the unit, and the index interval corresponding to the unit operation stability index;

[0015] The unit operation stability index is determined according to the light loss and air loss of the power unit.

[0016] In one embodiment, the minimization of the total carbon emissions is the goal, the unit restriction condition is used as the constraint, and the target unit set is selected from each power unit set, including:

[0017] Selecting a target algorithm from a mixed integer linear programming algorithm, a genetic algorithm, and a particle swarm optimization algorithm according to the number of sets of power units and the total number of motor units in each set of power units;

[0018] With the minimization of the total carbon emissions as the goal and the unit restriction conditions as the constraints, a target unit set is selected from each power unit set by adopting a target algorithm.

[0019] In one embodiment, for each new energy generator set, obtaining the generator set output power of the new energy generator set in the operating period includes:

[0020] Dividing the operating time period into a plurality of sub-time periods;

[0021] For each sub-period, obtaining the environmental parameters corresponding to the sub-period, and determining the unit output power of the new energy unit in the sub-period according to the standard output power of the new energy unit in the sub-period and the output power impact value corresponding to the environmental parameters;

[0022] The unit output power of the new energy unit in each sub-time period is used as the unit output power of the new energy unit in the operating time period.

[0023] In one embodiment, the length of the sub-period is greater than the start-stop time; and the controlling each power unit in the target unit set to be put into operation within the sub-period includes:

[0024] In each sub-period, according to the unit output power of each power unit in the target unit set in the sub-period, a target unit is selected from each power unit in the target unit set, and the target unit is controlled to operate in the sub-period;

[0025] Among them, the priority of the new energy unit is higher than the priority of the traditional energy unit.

[0026] In a second aspect, the present application also provides a unit operation control device, comprising:

[0027] An acquisition module, used to acquire a current power task and an operating period corresponding to the current power task, as well as current operating parameters and unit constraints of each power unit in the operating period; the current operating parameters include unit output power and unit carbon emissions; the unit constraints include at least unit distance dimension constraints, unit operating parameter dimension constraints and unit power generation cost dimension constraints;

[0028] A unit set selection module is used to determine at least one power unit set according to each power unit; the sum of the unit output power of each power unit in the power unit set is greater than or equal to the power load demand in the current power task;

[0029] A target unit selection module is used to select a target unit set from each power unit set with the minimum total carbon emission as the goal and the unit restriction condition as the constraint; the total carbon emission is the sum of the unit carbon emission of each power unit in the power unit set;

[0030] The control input module is used to control each power unit in the target unit set to be put into operation within the operation period.

[0031] In a third aspect, the present application further provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the following steps are implemented:

[0032] Obtaining a current power task and an operating period corresponding to the current power task, as well as current operating parameters and unit constraints of each power unit within the operating period; the current operating parameters include unit output power and unit carbon emissions; the unit constraints include at least unit distance dimension constraints, unit operating parameter dimension constraints, and unit power generation cost dimension constraints; each power unit includes at least one new energy unit, and / or at least one traditional energy unit;

[0033] Determine at least one power unit set according to each power unit; the sum of the unit output powers of each power unit in the power unit set is greater than or equal to the power load demand in the current power task;

[0034] Taking minimizing the total carbon emissions as a goal and taking the unit restriction condition as a constraint, a target unit set is selected from each power unit set; the total carbon emissions is the sum of the unit carbon emissions of each power unit in the power unit set;

[0035] Control each power unit in the target unit set to be put into operation within the operation period.

[0036] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the following steps are implemented:

[0037] Obtaining a current power task and an operating period corresponding to the current power task, as well as current operating parameters and unit constraints of each power unit within the operating period; the current operating parameters include unit output power and unit carbon emissions; the unit constraints include at least unit distance dimension constraints, unit operating parameter dimension constraints, and unit power generation cost dimension constraints; each power unit includes at least one new energy unit, and / or at least one traditional energy unit;

[0038] Determine at least one power unit set according to each power unit; the sum of the unit output powers of each power unit in the power unit set is greater than or equal to the power load demand in the current power task;

[0039] Taking minimizing the total carbon emissions as a goal and taking the unit restriction condition as a constraint, a target unit set is selected from each power unit set; the total carbon emissions is the sum of the unit carbon emissions of each power unit in the power unit set;

[0040] Control each power unit in the target unit set to be put into operation within the operation period.

[0041] In a fifth aspect, the present application further provides a computer program product, including a computer program, which implements the following steps when executed by a processor:

[0042] Obtaining a current power task and an operating period corresponding to the current power task, as well as current operating parameters and unit constraints of each power unit within the operating period; the current operating parameters include unit output power and unit carbon emissions; the unit constraints include at least unit distance dimension constraints, unit operating parameter dimension constraints, and unit power generation cost dimension constraints; each power unit includes at least one new energy unit, and / or at least one traditional energy unit;

[0043] Determine at least one power unit set according to each power unit; the sum of the unit output powers of each power unit in the power unit set is greater than or equal to the power load demand in the current power task;

[0044] Taking minimizing the total carbon emissions as a goal and taking the unit restriction condition as a constraint, a target unit set is selected from each power unit set; the total carbon emissions is the sum of the unit carbon emissions of each power unit in the power unit set;

[0045] Control each power unit in the target unit set to be put into operation within the operation period.

[0046] The above-mentioned unit operation control method, device and computer equipment, the present application takes minimizing the total carbon emissions as the core goal, and considers the unit restrictions as constraints, selects the optimal target unit set from the constructed power unit set, and ensures that carbon emissions are minimized while meeting electricity demand by comprehensively considering factors such as the unit's carbon emissions, operating efficiency, and cost. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the drawings required for use in the embodiments of the present application or related technical descriptions will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0048] Figure 1 An application environment diagram of a method for determining an operation strategy of a power system in one embodiment;

[0049] Figure 2 A schematic diagram of a flow chart of a method for determining an operation strategy of a power system in one embodiment;

[0050] Figure 3 A schematic flow chart of the steps of obtaining the current operating parameters of each power unit during the operating period in one embodiment;

[0051] Figure 4 A schematic diagram of a flow chart of a step of selecting a target unit set in one embodiment;

[0052] Figure 5 A schematic flow chart of the steps of obtaining the unit output power of a new energy unit during an operation period in one embodiment;

[0053] Figure 6 It is a structural block diagram of a unit operation control device in one embodiment;

[0054] Figure 7FIG. 4 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0055] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0056] In an exemplary embodiment, Figure 1 As shown, an application environment of a unit operation control method is provided, and the application environment includes a unit management platform 10 and at least one power unit 20.

[0057] In an exemplary embodiment, Figure 2 As shown, a unit operation control method is applied to Figure 1 The crew management platform 10 in the method includes:

[0058] S201, obtaining a current power task and an operating period corresponding to the current power task, as well as current operating parameters and unit restriction conditions of each power unit within the operating period.

[0059] Among them, the power task information that needs to be executed currently is obtained from the task management module of the power dispatching system, including task name, task type (such as daily dispatch, emergency dispatch, etc.), task priority, etc.

[0060] Furthermore, the time range of the current power task is clarified, that is, the start time and the end time, which usually constitutes the basis of the operation period. According to the requirements of the power task and the actual situation of the power system, the task time range is subdivided into multiple specific time periods, which constitute the operation period. The time period division can be based on hours, half hours or other finer time granularity.

[0061] Furthermore, the information of all power units currently participating in power dispatch is obtained from the unit management module, including unit number, unit type (such as new energy unit, traditional energy unit), unit location, etc.

[0062] Among them, the current operating parameters include unit output power and unit carbon emissions.

[0063] It is understood that the unit output power refers to the actual power generated by the power unit at the current moment or in a specified time period. This is one of the most direct and critical parameters in power dispatching because it directly affects the supply and demand balance and stability of the power system. The unit output power may fluctuate due to a variety of factors, including the type of unit (such as new energy units are greatly affected by weather conditions), the degree of unit aging, maintenance status, and changes in electricity demand. Unit carbon emissions refer to the carbon dioxide emissions generated by the power unit during operation.

[0064] The unit constraints include at least unit distance dimension constraints, unit operating parameter dimension constraints and unit power generation cost dimension constraints.

[0065] It can be understood that the constraints of the unit distance dimension refer to the determination of the area that the unit can serve, taking into account the physical distance between the unit and the power demand point, as well as the constraints of the power transmission network. The constraints of the unit operating parameter dimension refer to: including the unit's maximum / minimum output power, ramp rate, start and stop time, stable operation time, etc. These parameters determine the dispatchable and operational range of the unit in different time periods. The constraints of the unit's power generation cost dimension refer to: obtaining the power generation cost data of the unit at different output levels, including fuel costs, maintenance costs, depreciation costs, etc., in order to conduct economic analysis during the scheduling process.

[0066] Among them, each power unit includes at least one new energy unit and / or at least one traditional energy unit.

[0067] S202: Determine at least one electric power unit set according to each electric power unit.

[0068] The sum of the output powers of the power units in the power unit set is greater than or equal to the power load demand in the current power task.

[0069] Specifically, based on the power load demand, the units with high current output power, large adjustable output range and in operation or capable of quick start are preliminarily screened out.

[0070] In one achievable manner, if the output power of a certain unit is sufficient to meet the power load demand and is feasible in terms of economy and reliability, then the unit can be directly regarded as a power unit set.

[0071] In another possible implementation, multiple units need to be combined to meet the power demand. In this case, optimization algorithms (such as greedy algorithms, dynamic programming, genetic algorithms, etc.) can be used to find the optimal unit combination. These algorithms will consider multiple factors such as the unit's output power, start-stop cost, climbing ability, carbon emissions, etc. to find the unit combination with the lowest total cost (including carbon emission cost).

[0072] S203, with the minimization of the total carbon emissions as the goal and the unit restriction conditions as the constraints, a target unit set is selected from various power unit sets.

[0073] Among them, the total carbon emissions are the sum of the carbon emissions of each power unit in the power unit set.

[0074] Optionally, define the total carbon emissions as the objective function, i.e. the sum of the carbon emissions of each unit in the selected set of power units should be minimized. Incorporate unit constraints and power demand into the model as constraints. Ensure that the total output power of the selected set of units meets the power demand while complying with the operating constraints of all units. Select an appropriate optimization algorithm to solve the model based on the scale and complexity of the problem. Common algorithms include linear programming, nonlinear programming, integer programming, heuristic algorithms (such as genetic algorithms, simulated annealing, particle swarm optimization), etc. Consider the algorithm's computational efficiency, convergence, robustness, and suitability for handling large-scale problems. Solve the model using the selected optimization algorithm. This may involve multiple iterations and calculations to find a unit combination that satisfies all constraints and minimizes the total carbon emissions.

[0075] S204, controlling each power unit in the target unit set to be put into operation within the operation period.

[0076] Optionally, obtain detailed dispatch instructions for the target set of units from the power dispatch system, including the output plan, start and stop time, ramp rate, etc. of each unit; according to the dispatch instructions, start those units that need to be pre-operated before the start of the operation period. This usually includes units that require a long time to warm up or reach a stable output state. During the unit startup process, according to the dispatch instructions and unit characteristics, gradually adjust the various parameters of the unit (such as fuel supply, air intake, water flow, etc.) to ensure that the unit can smoothly transition to the predetermined output state. Dynamically adjust the output level of each unit based on real-time monitoring data and dispatch instructions. This includes increasing or decreasing the output power of the unit according to changes in power load demand; and making necessary parameter adjustments and optimizations according to the actual operating status of the unit.

[0077] The above-mentioned unit operation control method of this application takes the minimization of total carbon emissions as the core goal, and considers the unit restriction conditions as constraints to select the optimal target unit set from the constructed power unit set. By comprehensively considering the unit's carbon emissions, operating efficiency, cost and other factors, it ensures that carbon emissions are minimized while meeting electricity demand.

[0078] In an exemplary embodiment, the constraints on the unit operating parameter dimensions include at least the unit's maximum output power, minimum output power, ramp rate, start and stop time, and indicator ranges corresponding to the unit's operating stability index.

[0079] Among them, the unit operation stability index is determined based on the unit's light loss and air loss.

[0080] Maximum output power: This is the maximum power output that the unit can provide continuously and stably under specific conditions. When dispatching the unit, it is necessary to ensure that the actual output power of the unit does not exceed its maximum output power to prevent the unit from being overloaded or damaged.

[0081] Minimum output power: The minimum power output at which the unit can operate stably under low load. When the power demand is low, the unit may need to reduce the output power to match the demand, but the reduction cannot be lower than the minimum output power to ensure stable operation of the unit and avoid frequent starts and stops.

[0082] Ramp rate: The time required for a unit to increase from its current output power to its maximum output power (or vice versa). The ramp rate limits how quickly a unit can respond to changes in power demand.

[0083] Start-stop time: The time required for a unit to start from a shutdown state and reach a stable operating state (or vice versa). Start-stop time affects the flexibility and availability of the unit.

[0084] Unit operation stability index: This index is determined based on the unit's light loss (i.e., the power that the unit fails to generate due to failure or maintenance) and air loss (i.e., the performance degradation of the unit due to insufficient or unstable air intake). This index reflects the unit's performance in stable operation.

[0085] In an exemplary embodiment, Figure 3 As shown, the current operating parameters of each power unit in the operating period are obtained, including:

[0086] S301, obtaining historical operating parameters of the power unit when executing historical power tasks.

[0087] Specifically, the operating parameters of the power unit when performing historical power tasks are collected from the monitoring system, data recorder or historical database of the power unit.

[0088] S302: predicting and obtaining current operating parameters of the power unit according to the task difference between the historical power task and the current power task.

[0089] Optionally, based on the historical operating parameters and the corresponding power task information, select a suitable machine learning algorithm (such as linear regression, decision tree, random forest, neural network, etc.) to establish a prediction model. The input of the model is the characteristics of the historical power task and the corresponding operating parameters, and the output is the predicted current operating parameters.

[0090] In an exemplary embodiment, Figure 4As shown, with the goal of minimizing the total carbon emissions and the unit restriction conditions as constraints, a target unit set is selected from each power unit set, including:

[0091] S401 , selecting a target algorithm from a mixed integer linear programming algorithm, a genetic algorithm, and a particle swarm optimization algorithm according to the number of power unit sets and the total number of motor units in each power unit set.

[0092] It is understood that the total number of power unit sets and the number of power units in each set are determined. The scale and complexity of the problem are assessed, including the number of units, the number and type of constraints, and the complexity of the carbon emission calculation model.

[0093] Mixed Integer Linear Programming (MILP): Applicable to optimization problems with linear relationships and integer constraints. If the carbon emissions and fleet constraints can be expressed as linear expressions and the problem size is moderate, MILP may be an effective choice.

[0094] Genetic Algorithm (GA): Suitable for large-scale, nonlinear, multi-peak optimization problems. GA may be more suitable when the problem has complex nonlinear relationships or needs to explore multiple possible solutions.

[0095] Particle Swarm Optimization (PSO): It is also a swarm-based optimization algorithm that is applicable to both continuous and discrete optimization problems. PSO performs well in finding the global optimal solution, especially when the problem has many local optimal solutions.

[0096] S402, with the minimization of the total carbon emissions as the goal and the unit restriction conditions as the constraints, a target unit set is selected from the power unit sets using a target algorithm.

[0097] Optionally, with the goal of minimizing the total carbon emissions, a carbon emission calculation model is established based on the carbon emission characteristics of the power unit (such as fuel type, combustion efficiency, etc.) and output plan. The constraints of the power unit (such as maximum / minimum output power, ramp rate, start / stop time, operating stability index, etc.) are included in the optimization model as constraints. Use the target algorithm selected in S401 to optimize the search for the power unit set. The algorithm will explore different unit combinations and output plans based on the objective function and constraints to find the target unit set with the minimum total carbon emissions.

[0098] In an exemplary embodiment, for each new energy unit, the unit output power of the new energy unit in the operating period is obtained, such as Figure 5 As shown, including:

[0099] S501, dividing the operating time period into a plurality of sub-time periods.

[0100] Optionally, the operating period to be analyzed is determined according to the requirements of the current power task. The operating period is divided into multiple shorter sub-periods, and the length of each sub-period can be determined according to actual needs (such as every hour, every half hour or shorter). The purpose of the division is to better capture the changes in the output power of the new energy unit over time.

[0101] S502, for each sub-period, obtaining the environmental parameters corresponding to the sub-period, and determining the unit output power of the new energy unit in the sub-period according to the standard output power of the new energy unit in the sub-period and the output power impact value corresponding to the environmental parameters.

[0102] Optionally, for each sub-period, collect relevant environmental parameter data, such as wind speed, light intensity, temperature, humidity, etc., which directly affect the output power of the new energy unit. Determine the standard output power under standard environmental conditions based on the type and characteristics of the new energy unit. This is usually obtained through experiments or historical data. Analyze the relationship between environmental parameters and the output power of the new energy unit, and establish a mathematical model or lookup table to calculate the impact value of environmental parameter changes on the output power. Combine the standard output power and the output power impact value to calculate the actual output power of the new energy unit in each sub-period.

[0103] S503, taking the unit output power of the new energy unit in each sub-period as the unit output power of the new energy unit in the sub-period.

[0104] Optionally, the actual output power of the new energy unit in each sub-period is summarized to obtain the output power sequence in the entire operation period. Based on the summarized data, the output power curve of the new energy unit in the operation period can be drawn to intuitively display the change of its output power. The unit output power of the new energy unit in the sub-period is used as the output result for subsequent power dispatch and unit optimization.

[0105] In an exemplary embodiment, the duration of the sub-period is greater than the start and stop time;

[0106] The length of the sub-period should be greater than the start-up and shutdown time of the power unit to ensure that the unit has enough time for startup, stable operation and shutdown operations. The purpose of dividing the sub-period is to better match the changes in power demand while taking into account the start-up and shutdown characteristics and operational stability of the unit.

[0107] Controlling each power unit in the target unit set to be put into operation within a sub-period includes: in each sub-period, selecting a target unit from each power unit in the target unit set according to the unit output power of each power unit in the target unit set in the sub-period, and controlling the target unit to operate within the sub-period.

[0108] Among them, the priority of new energy units is higher than that of traditional energy units.

[0109] Optionally, for each sub-period, the power generation capacity of each unit is understood based on previously acquired unit output power data of each power unit in the target unit set in the period.

[0110] In each sub-period, the most suitable target unit for operation is selected from the target unit set based on the unit's output power and priority (new energy units have higher priority than traditional energy units).

[0111] Start, adjust and monitor the selected target units to ensure that they operate stably as planned and meet power demand. During operation, it is necessary to pay real-time attention to the operating status and output power of the units, and make timely adjustments to cope with changes in power demand or fluctuations in unit performance. When selecting target units, the start and stop time of the units should be fully considered. Avoid damage to the units and energy waste caused by frequent start and stop, while ensuring that the units can respond quickly when needed.

[0112] It should be understood that, although the steps in the flowcharts involved in the above embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps is not strictly limited in order, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above embodiments may include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0113] Based on the same inventive concept, the embodiment of the present application also provides a unit operation control device for implementing the above-mentioned method for determining the operation strategy of the power system. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above-mentioned method, so the specific limitations in one or more unit operation control device embodiments provided below can refer to the limitations of the method for determining the operation strategy of the power system above, and will not be repeated here.

[0114] In an exemplary embodiment, Figure 6 As shown, a unit operation control device is provided, comprising: an acquisition module 11, a unit set selection module 12, a target unit selection module 13 and a control input module 14, wherein:

[0115] The acquisition module 11 is used to acquire the current power task and the operation period corresponding to the current power task, as well as the current operation parameters and unit constraints of each power unit in the operation period; the current operation parameters include the unit output power and the unit carbon emissions; the unit constraints include at least the unit distance dimension constraints, the unit operation parameter dimension constraints and the unit power generation cost dimension constraints;

[0116] The unit set selection module 12 is used to determine at least one power unit set according to each power unit; the sum of the unit output power of each power unit in the power unit set is greater than or equal to the power load demand in the current power task;

[0117] The target unit selection module 13 is used to select a target unit set from each power unit set with the goal of minimizing the total carbon emissions and the unit restriction condition as a constraint; the total carbon emissions are the sum of the unit carbon emissions of each power unit in the power unit set;

[0118] The control input module 14 is used to control each power unit in the target unit set to be put into operation within the operation period.

[0119] Each module in the above-mentioned unit operation control device can be implemented in whole or in part by software, hardware or a combination thereof. Each of the above-mentioned modules can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a memory in a computer device in the form of software, so that the processor can call and execute operations corresponding to each of the above modules.

[0120] In an exemplary embodiment, a computer device is provided. The computer device may be a terminal, and its internal structure diagram may be as shown in FIG. Figure 7As shown. The computer device includes a processor, a memory, an input / output interface, a communication interface, a display unit and an input device. The processor, the memory and the input / output interface are connected through a system bus, and the communication interface, the display unit and the input device are connected to the system bus through the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The input / output interface of the computer device is used to exchange information between the processor and the external device. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be implemented through WIFI, a mobile cellular network, near field communication (NFC) or other technologies. When the computer program is executed by the processor, a method for determining an operation strategy of a power system is implemented. The display unit of the computer device is used to form a visually visible picture, which can be a display screen, a projection device or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer covering the display screen, or a button, trackball or touchpad set on the computer device shell, or an external keyboard, touchpad or mouse.

[0121] Those skilled in the art will understand that Figure 7 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0122] In an exemplary embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and when the processor executes the computer program, the following steps are implemented:

[0123] Obtaining a current power task and an operating period corresponding to the current power task, as well as current operating parameters and unit constraints of each power unit within the operating period; the current operating parameters include unit output power and unit carbon emissions; the unit constraints include at least unit distance dimension constraints, unit operating parameter dimension constraints, and unit power generation cost dimension constraints; each power unit includes at least one new energy unit, and / or at least one traditional energy unit;

[0124] Determine at least one power unit set according to each power unit; the sum of the unit output powers of each power unit in the power unit set is greater than or equal to the power load demand in the current power task;

[0125] Taking minimizing the total carbon emissions as a goal and taking the unit restriction condition as a constraint, a target unit set is selected from each power unit set; the total carbon emissions is the sum of the unit carbon emissions of each power unit in the power unit set;

[0126] Control each power unit in the target unit set to be put into operation within the operation period.

[0127] In one embodiment, a computer readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented:

[0128] Obtaining a current power task and an operating period corresponding to the current power task, as well as current operating parameters and unit constraints of each power unit within the operating period; the current operating parameters include unit output power and unit carbon emissions; the unit constraints include at least unit distance dimension constraints, unit operating parameter dimension constraints, and unit power generation cost dimension constraints; each power unit includes at least one new energy unit, and / or at least one traditional energy unit;

[0129] Determine at least one power unit set according to each power unit; the sum of the unit output powers of each power unit in the power unit set is greater than or equal to the power load demand in the current power task;

[0130] Taking minimizing the total carbon emissions as a goal and taking the unit restriction condition as a constraint, a target unit set is selected from each power unit set; the total carbon emissions is the sum of the unit carbon emissions of each power unit in the power unit set;

[0131] Control each power unit in the target unit set to be put into operation within the operation period.

[0132] In one embodiment, a computer program product is provided, comprising a computer program, which, when executed by a processor, implements the following steps:

[0133] Obtaining a current power task and an operating period corresponding to the current power task, as well as current operating parameters and unit constraints of each power unit within the operating period; the current operating parameters include unit output power and unit carbon emissions; the unit constraints include at least unit distance dimension constraints, unit operating parameter dimension constraints, and unit power generation cost dimension constraints; each power unit includes at least one new energy unit, and / or at least one traditional energy unit;

[0134] Determine at least one power unit set according to each power unit; the sum of the unit output powers of each power unit in the power unit set is greater than or equal to the power load demand in the current power task;

[0135] Taking minimizing the total carbon emissions as a goal and taking the unit restriction condition as a constraint, a target unit set is selected from each power unit set; the total carbon emissions is the sum of the unit carbon emissions of each power unit in the power unit set;

[0136] Control each power unit in the target unit set to be put into operation within the operation period.

[0137] A person of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment method can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, an artificial intelligence (AI) processor, etc., but are not limited to this.

[0138] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0139] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A unit operation control method, characterized in that: The method comprises: Obtaining a current power task and an operating period corresponding to the current power task, as well as current operating parameters and unit constraints of each power unit within the operating period; the current operating parameters include unit output power and unit carbon emissions; the unit constraints include at least unit distance dimension constraints, unit operating parameter dimension constraints, and unit power generation cost dimension constraints; each power unit includes at least one new energy unit, and / or at least one traditional energy unit; Determine at least one power unit set according to each power unit; the sum of the unit output powers of each power unit in the power unit set is greater than or equal to the power load demand in the current power task; Taking minimizing the total carbon emissions as a goal and taking the unit restriction condition as a constraint, a target unit set is selected from each power unit set; the total carbon emissions is the sum of the unit carbon emissions of each power unit in the power unit set; Control each power unit in the target unit set to be put into operation within the operation period.

2. The method according to claim 1, characterized in that Obtaining the current operating parameters of each power unit during the operating period includes: Obtaining historical operating parameters of the power unit when performing historical power tasks; According to the task difference between the historical power task and the current power task, the current operating parameters of the power unit are predicted.

3. The method according to claim 1, characterized in that The limiting conditions of the unit operation parameter dimension include at least the unit's maximum output power, minimum output power, ramp rate, start and stop time, and the index range corresponding to the unit's operation stability index; The unit operation stability index is determined according to the light loss and air loss of the power unit.

4. The method according to claim 3, characterized in that The method of minimizing the total carbon emissions as a goal and taking the unit restriction conditions as constraints, selecting a target unit set from each power unit set includes: Selecting a target algorithm from a mixed integer linear programming algorithm, a genetic algorithm, and a particle swarm optimization algorithm according to the number of sets of power units and the total number of motor units in each set of power units; With the minimization of the total carbon emissions as the goal and the unit restriction conditions as the constraints, a target unit set is selected from each power unit set by adopting a target algorithm.

5. The method according to claim 3, characterized in that: For each new energy generator set, obtaining the generator set output power of the new energy generator set in the operation period includes: Dividing the operating time period into a plurality of sub-time periods; For each sub-period, obtaining the environmental parameters corresponding to the sub-period, and determining the unit output power of the new energy unit in the sub-period according to the standard output power of the new energy unit in the sub-period and the output power impact value corresponding to the environmental parameters; The unit output power of the new energy unit in each sub-time period is used as the unit output power of the new energy unit in the operating time period.

6. The method according to claim 5, characterized in that The duration of the sub-period is greater than the start and stop time; The controlling each power unit in the target unit set to be put into operation within the sub-period includes: In each sub-period, according to the unit output power of each power unit in the target unit set in the sub-period, a target unit is selected from each power unit in the target unit set, and the target unit is controlled to operate in the sub-period; Among them, the priority of the new energy unit is higher than the priority of the traditional energy unit.

7. A unit operation control device, characterized in that: The device comprises: An acquisition module, used to acquire a current power task and an operating period corresponding to the current power task, as well as current operating parameters and unit constraints of each power unit in the operating period; the current operating parameters include unit output power and unit carbon emissions; the unit constraints include at least unit distance dimension constraints, unit operating parameter dimension constraints and unit power generation cost dimension constraints; A unit set selection module is used to determine at least one power unit set according to each power unit; the sum of the unit output power of each power unit in the power unit set is greater than or equal to the power load demand in the current power task; A target unit selection module is used to select a target unit set from each power unit set with the minimum total carbon emission as the goal and the unit restriction condition as the constraint; the total carbon emission is the sum of the unit carbon emission of each power unit in the power unit set; The control input module is used to control each power unit in the target unit set to be put into operation within the operation period.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

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

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

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