Chemical load equipment control method and device and electronic equipment
By constructing the operating power curves of chemical load equipment and combining them with the status and forecast data of the energy system, flexible adjustment of chemical load equipment was achieved, solving the problem of fixed operating power of chemical load equipment and improving energy utilization and system efficiency.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-08-30
- Publication Date
- 2026-03-10
AI Technical Summary
The fixed operating power of chemical load equipment results in low energy utilization and makes it difficult to adapt to changes in market and natural factors, thus requiring chemical loads to implement demand-side response.
By acquiring status and forecast data of various devices in the energy system, and using a production simulation model to construct the operating power curve of chemical load equipment, and combining the correlation between chemical load equipment and energy equipment, the operating power of chemical load equipment can be flexibly adjusted to ensure that the adjustment is based on the preset operating power.
It improved energy utilization, reduced economic losses, enhanced the flexibility and adaptability of chemical load equipment operation, and optimized the overall efficiency of the energy system.
Smart Images
Figure CN121635124A_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the technical field of energy regulation, and in particular to a chemical load device control method and device and electronic equipment. BACKGROUND
[0002] In order to improve the overall efficiency and reliability of the energy system and promote the use and development of renewable energy, in the related art, energy efficient use is achieved through source-grid-load-storage or multi-energy complementary forms, and flexible scheduling and storage of energy is achieved through integration of power sources, power grids, loads and energy storage devices. As an important load in the energy system, the operating power of the chemical load is usually fixed in order to ensure production quality and safety, and the load regulation capacity is relatively poor, and stable power supply is usually required. However, in actual operation, affected by market and natural factors, demand side response is required for the chemical load, otherwise, the relatively fixed operating power of the chemical load can easily lead to low energy utilization rate. SUMMARY
[0003] The embodiments of the present application provide a chemical load device control method and device and electronic equipment to solve the problem of low energy utilization rate in the related art.
[0004] To solve the above technical problems, the present application is implemented as follows:
[0005] In a first aspect, the embodiments of the present application provide a chemical load device control method, which comprises:
[0006] Obtaining state data and prediction data of each energy device in an energy system;
[0007] Inputting the state data and prediction data of the energy devices into a production simulation model, and performing production simulation based on the production simulation model to obtain a target simulation result, the target simulation result comprising operating powers of chemical load devices in the energy system at multiple time points, the operating power of the chemical load device comprising a preset operating power of the chemical load device and an adjusted operating power of the chemical load device, the production simulation model being constructed according to a first simulation model, a second simulation model and an association relationship between the chemical load devices and the energy devices, the first simulation model being constructed according to parameters of the energy devices and a connection relationship between the energy devices, and the second simulation model being constructed according to parameters of the chemical load devices and a connection relationship between the chemical load devices;
[0008] Determining operating power curves of the chemical load devices according to the operating powers of the chemical load devices at the multiple time points, respectively;
[0009] respectively based on the operation power curve of the chemical load equipment.
[0010] Optionally, the target simulation result further comprises input and output results of the respective energy equipment at multiple time points.
[0011] The operation of the respective chemical load equipment is controlled respectively based on the operation power curve of the chemical load equipment.
[0012] The operation power curve of the respective chemical load equipment is adjusted respectively according to the target curve of the energy equipment, wherein the target curve of the respective energy equipment is determined based on the input and output results of the respective energy equipment at multiple time points.
[0013] The operation of the respective chemical load equipment is controlled respectively based on the adjusted operation power curve of the chemical load equipment.
[0014] Optionally, the production simulation based on the production simulation model obtains a target simulation result, comprising:
[0015] The production simulation based on the production simulation model obtains a target simulation result.
[0016] Optionally, the production simulation program is constructed according to the operation parameters of the respective energy equipment and the operation parameters of the chemical load equipment, wherein the operation parameters of the respective energy equipment comprise internal variable parameters of the respective energy equipment, constraint condition parameters of the respective energy equipment, input and output expression parameters of the respective energy equipment, and operation cost expression parameters of the respective energy equipment, and the operation parameters of the chemical load equipment comprise internal variable parameters of the chemical load equipment, constraint condition parameters of the chemical load equipment, operation power expression parameters of the chemical load equipment, and operation cost expression parameters of the chemical load equipment.
[0017] The production simulation based on the production simulation model obtains a target simulation result, comprising:
[0018] The operation parameters of the respective energy equipment and the operation parameters of the respective chemical load equipment in the production simulation program are called based on the production simulation model, so as to obtain internal variables of the respective energy equipment, constraint conditions of the respective energy equipment, input and output expressions of the respective energy equipment, operation cost expressions of the respective energy equipment, internal variables of the respective chemical load equipment, constraint conditions of the respective chemical load equipment, operation power expressions of the respective chemical load equipment, and operation costs of the respective chemical load equipment.
[0019] The production simulation program adds the operation cost expression of each energy equipment and the operation cost expression of each chemical load equipment to obtain a total operation cost expression;
[0020] The production simulation program calculates variable values of internal variables of each energy equipment and variable values of internal variables of each chemical load equipment in the total operation cost expression, with the lowest total operation cost as a preset target;
[0021] The production simulation program inputs the variable values of internal variables of each energy equipment into input-output expressions of each energy equipment to obtain input-output results of each energy equipment at multiple time points;
[0022] The production simulation program inputs the variable values of internal variables of each chemical load equipment into operation power expressions of each chemical load equipment to obtain operation powers of each chemical load equipment at multiple time points.
[0023] Optionally, the constraint condition parameters of each chemical load equipment include ramping constraint parameters of each chemical load equipment and start-stop constraint parameters of each chemical load equipment.
[0024] In a second aspect, an embodiment of the present application further provides a chemical load equipment control device, which comprises:
[0025] A first acquisition module is configured to acquire state data and prediction data of each energy equipment in an energy system;
[0026] A first simulation module is configured to input the state data and prediction data of each energy equipment into a production simulation model, and perform production simulation based on the production simulation model to obtain a target simulation result, wherein the target simulation result comprises operation powers of a chemical load equipment in the energy system at multiple time points, the operation powers of the chemical load equipment comprise preset operation powers of the chemical load equipment and adjusted operation powers of the chemical load equipment, and the production simulation model is constructed according to a first simulation model, a second simulation model and an association relationship between the chemical load equipment and the energy equipment, the first simulation model is constructed according to parameters of each energy equipment and a connection relationship between the energy equipment, and the second simulation model is constructed according to parameters of each chemical load equipment and a connection relationship between the chemical load equipment;
[0027] A first determination module is configured to determine operation power curves of the chemical load equipment according to the operation powers of the chemical load equipment at multiple time points, respectively.
[0028] The first control module is configured to control operation of the chemical load equipment based on an operation power curve of the chemical load equipment.
[0029] Optionally, the target simulation result further includes input and output results of the energy equipment at multiple time points.
[0030] The first control module includes:
[0031] The first adjustment unit is configured to adjust the operation power curve of the chemical load equipment according to a target curve of the energy equipment, wherein the target curve of the energy equipment is determined based on the input and output results of the energy equipment at multiple time points.
[0032] The first control unit is configured to control operation of the chemical load equipment based on the adjusted operation power curve of the chemical load equipment.
[0033] Optionally, the first simulation module includes:
[0034] The first simulation unit is configured to perform production simulation based on the production simulation model to obtain a target simulation result.
[0035] Optionally, the production simulation program is constructed according to operation parameters of the energy equipment and operation parameters of the chemical load equipment, wherein the operation parameters of the energy equipment include internal variable parameters of the energy equipment, constraint condition parameters of the energy equipment, input and output expression parameters of the energy equipment, and operation cost expression parameters of the energy equipment, and the operation parameters of the chemical load equipment include internal variable parameters of the chemical load equipment, constraint condition parameters of the chemical load equipment, operation power expression parameters of the chemical load equipment, and operation cost expression parameters of the chemical load equipment.
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[0039] The production simulation program calculates the values of the internal variables of each energy device and the internal variables of the chemical load device in the total operating cost expression, with the minimum total operating cost as the preset target.
[0040] The production simulation program inputs the values of the internal variables of each energy device into the input-output expressions of each energy device to obtain the input-output results of each energy device at multiple times.
[0041] The production simulation program inputs the values of the internal variables of the chemical load equipment into the operating power expression of the chemical load equipment to obtain the operating power of the chemical load equipment at multiple times.
[0042] Optionally, the constraint parameters of the chemical load equipment include the ramp constraint parameters of the chemical load equipment and the start-stop constraint parameters of the chemical load equipment.
[0043] Thirdly, embodiments of this application also provide an electronic device, including a processor, a memory, and a computer program stored in the memory and executable on the processor, wherein the computer program, when executed by the processor, implements the steps of the above-described chemical load equipment control method.
[0044] Fourthly, embodiments of this application also provide a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the steps of the above-described chemical load equipment control method.
[0045] Fifthly, a computer program product is provided, including computer instructions that, when executed by a processor, implement the steps of the method described in the first aspect.
[0046] The chemical load equipment control method of this application includes acquiring state data and prediction data of each energy device in an energy system; inputting the state data and prediction data of each energy device into a production simulation model, and performing production simulation based on the production simulation model to obtain a target simulation result. The target simulation result includes the operating power of the chemical load equipment in the energy system at multiple times. The operating power of the chemical load equipment includes the preset operating power of the chemical load equipment and the adjusted operating power of the chemical load equipment. The production simulation model is constructed based on a first simulation model, a second simulation model, and the correlation between the chemical load equipment and the energy devices. The first simulation model is constructed based on the parameters of each energy device and the connection relationship between the energy devices. The second simulation model is constructed based on the parameters of the chemical load equipment and the connection relationship between the chemical load equipment. The operating power curve of the chemical load equipment is determined based on the operating power of the chemical load equipment at multiple times. The operation of the chemical load equipment is controlled based on the operating power curve of the chemical load equipment. In this method, the status data and predicted data of the energy equipment are input into a pre-constructed production simulation model for production simulation. During the simulation, while ensuring the preset operating power of the chemical load equipment, the adjusted operating power of the chemical load equipment can be determined based on the status and predicted data of the energy equipment. Then, the operation of the chemical load equipment is controlled according to the operating power determined by the preset and adjusted operating power. Therefore, the operating power of the chemical load equipment can be flexibly adjusted according to the energy supply, thereby improving the energy utilization rate. Attached Figure Description
[0047] To more clearly illustrate the technical solutions of the embodiments of this application, the drawings used in the description of the embodiments of this application will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.
[0048] Figure 1 This is a flowchart of the chemical load equipment control method provided in the embodiments of this application;
[0049] Figure 2 This is a structural diagram of a chemical load equipment control device provided in an embodiment of this application;
[0050] Figure 3 This is a structural diagram of an electronic device provided in an embodiment of this application. Detailed Implementation
[0051] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.
[0052] This application provides a method for controlling chemical load equipment; see [link to relevant documentation]. Figure 1 , Figure 1 This is a flowchart of the chemical load equipment control method provided in the embodiments of this application, such as... Figure 1 As shown, it includes the following steps:
[0053] Step 101: Obtain status data and forecast data for each energy device in the energy system;
[0054] In this step, the energy equipment can be wind power equipment, photovoltaic equipment, energy storage equipment, etc. The status data of these energy equipment can be obtained from a data acquisition system, and the forecast data can be obtained from an online server. For example, taking wind power equipment, the status data can include the installed capacity, unit cost, and actual output value at the corresponding moment on the power output curve. The forecast data can include estimates of future market demand for wind power and estimates of wind power prices.
[0055] Step 102: Input the status data and prediction data of each energy device into the production simulation model, and perform production simulation based on the production simulation model to obtain the target simulation result. The target simulation result includes the operating power of the chemical load equipment in the energy system at multiple times. The operating power of the chemical load equipment includes the preset operating power of the chemical load equipment and the adjusted operating power of the chemical load equipment. The production simulation model is constructed based on the first simulation model, the second simulation model, and the correlation between the chemical load equipment and the energy devices. The first simulation model is constructed based on the parameters of each energy device and the connection relationship between each energy device. The second simulation model is constructed based on the parameters of each chemical load equipment and the connection relationship between each chemical load equipment.
[0056] In this step, the first simulation model is constructed based on the parameters of each energy device and the connection relationships between them. For example, the energy devices may include solar power generation equipment, whose parameters may include power output, efficiency, etc.; wind power generation equipment, whose parameters may include wind speed, power generation capacity, etc.; and energy storage batteries, whose parameters may include capacity, charge / discharge efficiency, etc. Since solar power generation equipment can store the generated electrical energy in energy storage batteries, and wind power generation equipment can also store electrical energy in energy storage batteries, the output terminals of the solar panels and wind turbines can be connected to the input terminals of the energy storage batteries, respectively. The second simulation model is constructed based on the parameters of the chemical load equipment and the connection relationships between them. Since solar power generation equipment, wind power generation equipment, and energy storage equipment can supply power to the chemical load, the output terminals of these three devices can be connected to the input terminals of the chemical load. In this application, exemplarily, the chemical load equipment may include a reactor, whose parameters may include reaction temperature, reaction time, feed flow rate, etc.; a separator, used to separate reaction products, whose parameters may include feed flow rate, separation efficiency, etc.; and a storage tank, whose parameters may include capacity, flow rate, etc. Since the reaction products of the reactor are transported to the separator for separation, the separated products of the separator may be sent to the storage tank for storage, and unreacted materials may be returned to the reactor, the output end of the reactor can be connected to the input end of the separator, the output end of the separator can be connected to the input end of the storage tank, and the output end of the storage tank can be connected to the input end of the reactor.
[0057] The first and second models are then combined to generate a comprehensive production simulation model, enabling dynamic simulation of the entire production process. This simulation model considers the interrelationships between energy equipment and chemical load equipment. For example, the electrical energy generated by the energy equipment primarily powers the operation of the chemical load equipment.
[0058] Due to the instability of energy supply and the fact that many chemical production processes are continuous, chemical load equipment usually needs to operate 24 hours a day without interruption. Therefore, the second simulation model may include a first control unit and a second control unit. The first control unit is used to ensure the minimum operating power of the chemical load equipment (i.e., the preset operating power of the chemical load equipment mentioned above, the control logic of which can be seen in the following expression (1):
[0059] First regulatory unit:
[0060] Where L represents the rated operating power of the chemical load equipment, and N% represents the minimum adjustment ratio of the chemical load equipment. Once the parameters of the first control unit are input, they no longer participate in data optimization and control.
[0061] The second control unit determines the regulating operating power of the chemical load equipment based on the status data and forecast data of the energy equipment, as well as the operating data generated by the first model during the production simulation. Its control logic can be found in the following expression (2):
[0062] Second control unit:
[0063] Where L represents the rated operating power of the chemical load equipment, and K% represents the flexible adjustment ratio of the chemical load equipment.
[0064] The final operating power of chemical load equipment consists of the preset operating power and the adjusted operating power.
[0065] Step 103: Determine the operating power curve of each chemical load device based on the operating power of each chemical load device at multiple times;
[0066] In this step, the operating power curves show the power changes of each chemical load device at different time points. These curves can be generated using data processing and visualization tools in programming languages such as Python.
[0067] Step 104: Control the operation of each chemical load device based on the operating power curve of each chemical load device.
[0068] In this step, corresponding control strategies can be formulated based on the operating power curves of the chemical load equipment to control the operation of each chemical load equipment. For example, the starting, stopping, and load adjustment of the chemical load equipment can be controlled based on its operating power curves.
[0069] In one embodiment, the production simulation model is constructed based on a first model related to energy equipment, a second model related to chemical load equipment, and the correlation between the energy equipment and the chemical load equipment. Status data and predicted data of the energy equipment are input into the constructed production simulation model for production simulation. During the production simulation, while ensuring the preset operating power of the chemical load equipment, the adjusted operating power of the chemical load equipment can be flexibly determined based on the status data and predicted data of the energy equipment, as well as the operating data generated by the energy equipment during the production simulation. Finally, the operating power of the chemical load equipment is determined based on the preset operating power and the adjusted operating power, and then the operation of the chemical load equipment is controlled according to the operating power. In this embodiment, the operating power of the chemical load equipment can be flexibly adjusted according to the energy supply, thereby improving energy utilization efficiency. Furthermore, it can reduce economic losses.
[0070] Optionally, the target simulation results may also include the input and output results of each energy device at multiple times;
[0071] The control of the operation of each chemical load device based on its operating power curve includes:
[0072] Based on the target curves of each energy device, the operating power curves of each chemical load device are adjusted respectively, wherein the target curves of each energy device are determined based on the input and output results of each energy device at multiple times;
[0073] The operation of each chemical load device is controlled based on its adjusted operating power curve.
[0074] In one embodiment, the target simulation results also include the input and output results of each energy device at multiple times. Based on these results, the target curve for each energy device can be obtained. The target curve for each energy device differs depending on its attributes. For some energy devices, the target curve represents the relationship between energy input and time. For example, the target curve for controlled-load water electrolysis for hydrogen production is a curve showing the relationship between energy input and time. For others, the target curve represents the relationship between energy output and time. For example, the target curve for controlled-power thermal power is a curve showing the relationship between energy output and time. Some energy devices are special, with target curves representing both the relationship between energy input and time and the relationship between energy output and time. For example, the target curve for a thermal storage tank represents both the relationship between energy input and time and the relationship between energy output and time.
[0075] The input and output results of energy equipment also affect the operating power of chemical load equipment. For example, in terms of power supply, the unstable or fluctuating output power of energy equipment (such as generators, substations, or distribution networks) directly affects the power supply of chemical load equipment. In terms of energy management, in an energy system, the input and output results of energy equipment determine the energy allocation and scheduling of the energy system to a certain extent. If the energy generated by energy equipment decreases, the energy system may need to reduce the operating power of some chemical load equipment to maintain overall balance.
[0076] Therefore, in this implementation, optimizing and adjusting the operating power curve of the chemical load equipment based on the target curve of the energy equipment helps to balance the load and supply, making the overall energy and load management more flexible and adaptable to changes in actual operating conditions.
[0077] Optionally, the step of performing production simulation based on the production simulation model to obtain the target simulation result includes:
[0078] Based on the production simulation model, a production simulation program is run to simulate production and obtain the target simulation result.
[0079] In one implementation, a production simulation program can be understood as a software tool or algorithm used to simulate and predict the processes of energy production, distribution, and consumption. It helps technicians analyze the behavior of energy systems under different scenarios. The production simulation program can provide visualized data and results, and can quickly adjust parameters and conditions, facilitating multiple production simulation experiments and optimizations. It can shorten the production simulation time and improve the accuracy of the target simulation results.
[0080] Optionally, the production simulation program is constructed based on the operating parameters of each energy device and the operating parameters of each chemical load device. The operating parameters of each energy device include the internal variable parameters, constraint parameters, input / output expression parameters, and operating cost expression parameters of each energy device. The operating parameters of each chemical load device include the internal variable parameters, constraint parameters, operating power expression parameters, and operating cost expression parameters of each chemical load device.
[0081] The process of running a production simulation program based on the production simulation model to obtain the target simulation result includes:
[0082] Based on the production simulation model, the operating parameters of each energy device and each chemical load device in the production simulation program are called to obtain the internal variables of each energy device, the constraints of each energy device, the input-output expressions of each energy device, the operating cost expressions of each energy device, the internal variables of each chemical load device, the constraints of each chemical load device, the operating power expressions of each chemical load device, and the operating costs of each chemical load device.
[0083] The total operating cost expression is obtained by adding the operating cost expressions of each energy device and each chemical load device through the production simulation program.
[0084] The production simulation program calculates the values of the internal variables of each energy device and the internal variables of each chemical load device in the total operating cost expression, with the minimum total operating cost as the preset target.
[0085] The production simulation program inputs the values of the internal variables of each energy device into the input-output expressions of each energy device to obtain the input-output results of each energy device at multiple times.
[0086] The production simulation program inputs the values of the internal variables of each chemical load device into the operating power expression of each chemical load device to obtain the operating power of each chemical load device at multiple times.
[0087] In one implementation, the operating parameters of each energy device in the production simulation program are called based on the production simulation model to obtain the internal variables of each energy device, the constraints of each energy device, the input-output expressions of each energy device, and the operating cost expressions of each energy device.
[0088] For example, taking a coal-fired boiler as an example, the maximum thermal power of the coal-fired boiler is 300,000 kW, the ramp rate is 0.02 per unit / minute, the thermal efficiency is 0.7, the minimum output is 0.5 per unit, the unit fixed operating cost is 0.05 yuan / kW / year, and the start-up cost is 30,000 yuan / time. The production simulation model then inputs the boiler's operating parameters by confirming that the equipment type is a coal-fired boiler. The internal variable parameters of the coal-fired boiler are 0 <= continuous thermal power [n] <= maximum thermal power, 0 <= continuous ramp rate [n-1] <= The maximum thermal power and the constraint parameters for a coal-fired boiler are: thermal power[t] >= maximum thermal power * minimum output * whether it is working[t], and thermal power[t] <= maximum thermal power * whether it is working[t]. The input and output expression parameters for a coal-fired boiler are: coal input = 3600 / 1000000 * 0.03412 * 10000 * thermal power / thermal efficiency, and thermal output = thermal power. The operating cost expression parameters for a coal-fired boiler are: SUM(thermal power) * dt * 3600 / 1e6 * unit operating cost + SUM(whether it has just started, 0, n-1) * start-up cost.
[0089] Substituting its state data and prediction data, the internal variables of the coal-fired boiler are obtained as follows: 0 <= continuous thermal power [n] <= 30, 0 <= continuous ramp [n-1] <= 30. The constraints of the coal-fired boiler are: thermal power [t] >= 30 * 0.5 * whether it is working [t], thermal power [t] <= 30 * whether it is working [t]. The input and output expression parameters of the coal-fired boiler are: coal input = 3600 / 1000000 * 0.03412 * 10000 * thermal power / 0.7, thermal output = thermal power. The operating cost expression of the coal-fired boiler is: SUM(thermal power) * dt * 3600 / 1e6 * 0.05 + SUM(whether it has just started, 0, n-1) * 3.
[0090] Based on the production simulation model, the operating parameters of each chemical load device in the production simulation program are called to obtain the internal variables, constraints, operating power expressions, and operating cost expressions of each chemical load device.
[0091] For example, taking a reactor as an example, the internal variables of the reactor may include temperature T, pressure P, flow rate F, and concentration C. The constraints of the reactor may include a maximum temperature of 150°C, a maximum pressure of 2.0 MPa, and a minimum flow rate of 10 m³ / s. 3 The maximum concentration is 5 mol / L. For the reactor, the operating power M may be related to the flow rate and temperature, and the operating power expression can be: [M=k\cdot F\cdot(T-T_{ambient})], where k is a constant representing the power efficiency of the chemical load equipment, and T_{ambient} represents the ambient temperature. The reactor operating cost expression can be: [C=C_{energy}+C_{maintenance}+C_{raw}], where C_{energy} represents the energy cost calculated based on the operating power and time, C_{maintenance} represents the equipment maintenance cost, and C_{raw} represents the raw material cost calculated based on the flow rate and raw material unit price.
[0092] The total operating cost expression of the energy system is obtained by adding the operating cost expressions of each energy device and each chemical load device. To minimize the total operating cost of the energy system, the values of the internal variables of each energy device and each chemical load device are determined using a production simulation program, under the corresponding constraints.
[0093] The values of the internal variables of the energy equipment are input into the input-output expression of the energy equipment to obtain the input-output results of the energy equipment. Continuing with the example of the coal-fired boiler, the thermal power and thermal efficiency are input into the coal input expression to obtain the coal input results of the coal-fired boiler.
[0094] By inputting the values of the internal variables of the chemical load equipment into the operating power expression of the chemical load equipment, the operating power of the chemical load equipment can be obtained. Continuing with the reactor example above, by inputting the temperature and flow rate into the operating power expression, the operating power result of the reactor can be obtained.
[0095] In this implementation, production simulation with the lowest total operating cost can help identify the optimal configuration and operation mode between different energy equipment and loads, ensuring that resources are used effectively and avoiding waste.
[0096] Optionally, the constraint parameters of each chemical load device include the ramp constraint parameters and the start / stop constraint parameters of each chemical load device.
[0097] In one implementation, the ramp constraint of a chemical load device can be understood as the rate of increase or decrease in power that the chemical load device can achieve per unit time. It specifies the maximum acceptable rate at which the chemical load device can adjust from one power level to another. Considering physical limitations (e.g., steam turbines cannot heat up rapidly), safety control (preventing excessive mechanical or electrical stress), and maintenance costs (frequent adjustments increase equipment wear), it is best not to drastically change the power of chemical load devices during operation. By setting ramp constraints, it is possible to ensure that the chemical load device operates relatively stably under a certain working condition, avoiding the need to constantly adjust the operating power to adapt to the output fluctuations of energy equipment.
[0098] Start-up and shutdown constraints for chemical load equipment can be understood as limitations on the operation of these equipment, including start-up time, stop time, and frequency. Specifically, this includes the time required for the equipment to go from a cold start to full load operation, and the restart time after shutdown. Since frequent starts and stops can increase wear and tear on chemical load equipment, thus affecting its lifespan and maintenance costs, setting start-up and shutdown constraints allows for the planning and optimization of chemical load equipment scheduling in production simulations. This avoids overuse of the equipment and ensures that the energy system can flexibly respond to fluctuations in load demand.
[0099] See Figure 2 , Figure 2 This is a structural diagram of a chemical load equipment control device provided in one embodiment of this application. Figure 3 As shown, the chemical load equipment control device 200 includes:
[0100] The first acquisition module 201 is used to acquire status data and prediction data of various energy devices in the energy system;
[0101] The first simulation module 202 is used to input the status data and prediction data of each energy device into the production simulation model, and perform production simulation based on the production simulation model to obtain the target simulation result. The target simulation result includes the operating power of each chemical load device in the energy system at multiple times. The operating power of the chemical load device includes the preset operating power of the chemical load device and the adjusted operating power of the chemical load device. The production simulation model is constructed based on the first simulation model, the second simulation model, and the correlation between the chemical load device and the energy device. The first simulation model is constructed based on the parameters of each energy device and the connection relationship between each energy device. The second simulation model is constructed based on the parameters of each chemical load device and the connection relationship between each chemical load device.
[0102] The first determining module 203 is used to determine the operating power curve of each chemical load device based on the operating power of each chemical load device at multiple times.
[0103] The first control module 204 is used to control the operation of each chemical load device based on the operating power curve of each chemical load device.
[0104] Optionally, the target simulation results may also include the input and output results of each energy device at multiple times;
[0105] The first control module includes:
[0106] The first adjustment unit is used to adjust the operating power curve of each chemical load device according to the target curve of each energy device, wherein the target curve of each energy device is determined based on the input and output results of each energy device at multiple times.
[0107] The first control unit is used to control the operation of each chemical load device based on the adjusted operating power curve of each chemical load device.
[0108] Optionally, the first simulation module includes:
[0109] The first simulation unit is used to run a production simulation program based on the production simulation model to perform production simulation and obtain the target simulation result.
[0110] Optionally, the production simulation program is constructed based on the operating parameters of each energy device and the operating parameters of each chemical load device. The operating parameters of each energy device include the internal variable parameters, constraint parameters, input / output expression parameters, and operating cost expression parameters of each energy device. The operating parameters of each chemical load device include the internal variable parameters, constraint parameters, operating power expression parameters, and operating cost expression parameters of each chemical load device.
[0111] The first simulation unit is specifically used for:
[0112] Based on the production simulation model, the operating parameters of each energy device and each chemical load device in the production simulation program are called to obtain the internal variables of each energy device, the constraints of each energy device, the input-output expressions of each energy device, the operating cost expressions of each energy device, the internal variables of each chemical load device, the constraints of each chemical load device, the operating power expressions of each chemical load device, and the operating costs of each chemical load device.
[0113] The total operating cost expression is obtained by adding the operating cost expressions of each energy device and each chemical load device through the production simulation program.
[0114] The production simulation program calculates the values of the internal variables of each energy device and the internal variables of each chemical load device in the total operating cost expression, with the minimum total operating cost as the preset target.
[0115] The production simulation program inputs the values of the internal variables of each energy device into the input-output expressions of each energy device to obtain the input-output results of each energy device at multiple times.
[0116] The production simulation program inputs the values of the internal variables of each chemical load device into the operating power expression of each chemical load device to obtain the operating power of each chemical load device at multiple times.
[0117] Optionally, the constraint parameters of each chemical load device include the ramp constraint parameters and the start / stop constraint parameters of each chemical load device.
[0118] See Figure 3 , Figure 3This is a structural diagram of the electronic device provided in one embodiment of this application, such as... Figure 3 As shown, the electronic device includes: a processor 301, a communication interface 302, a communication bus 304, and a memory 303, wherein the processor 301, the communication interface 302, and the memory 303 interact with each other through the communication bus 304.
[0119] The memory 303 stores computer programs; the processor 301 executes the programs stored in the memory 303. When the calculator program is executed by the processor 301, it: acquires the status data and prediction data of each energy device in the energy system; inputs the status data and prediction data of each energy device into a production simulation model, and performs production simulation based on the production simulation model to obtain a target simulation result. The target simulation result includes the operating power of each chemical load device in the energy system at multiple times. The operating power of the chemical load device includes the preset operating power and the adjusted operating power of the chemical load device. The production simulation model is constructed based on a first simulation model, a second simulation model, and the correlation between the chemical load device and the energy device. The first simulation model is constructed based on the parameters of each energy device and the connection relationship between the energy devices. The second simulation model is constructed based on the parameters of each chemical load device and the connection relationship between the chemical load devices. The operating power curve of each chemical load device is determined based on the operating power of each chemical load device at multiple times. The operation of each chemical load device is controlled based on the operating power curve of each chemical load device.
[0120] Optionally, the target simulation results may also include the input and output results of each energy device at multiple times;
[0121] The processor 301 is specifically used for:
[0122] Based on the target curves of each energy device, the operating power curves of each chemical load device are adjusted respectively, wherein the target curves of each energy device are determined based on the input and output results of each energy device at multiple times;
[0123] The operation of each chemical load device is controlled based on its adjusted operating power curve.
[0124] Optionally, the processor 301 is specifically used for:
[0125] Based on the production simulation model, a production simulation program is run to simulate production and obtain the target simulation result.
[0126] Optionally, the production simulation program is constructed based on the operating parameters of each energy device and the operating parameters of each chemical load device. The operating parameters of each energy device include the internal variable parameters, constraint parameters, input / output expression parameters, and operating cost expression parameters of each energy device. The operating parameters of each chemical load device include the internal variable parameters, constraint parameters, operating power expression parameters, and operating cost expression parameters of each chemical load device.
[0127] The processor 301 is specifically used for:
[0128] Based on the production simulation model, the operating parameters of each energy device and each chemical load device in the production simulation program are called to obtain the internal variables of each energy device, the constraints of each energy device, the input-output expressions of each energy device, the operating cost expressions of each energy device, the internal variables of each chemical load device, the constraints of each chemical load device, the operating power expressions of each chemical load device, and the operating costs of each chemical load device.
[0129] The total operating cost expression is obtained by adding the operating cost expressions of each energy device and each chemical load device through the production simulation program.
[0130] The production simulation program calculates the values of the internal variables of each energy device and the internal variables of each chemical load device in the total operating cost expression, with the minimum total operating cost as the preset target.
[0131] The production simulation program inputs the values of the internal variables of each energy device into the input-output expressions of each energy device to obtain the input-output results of each energy device at multiple times.
[0132] The production simulation program inputs the values of the internal variables of each chemical load device into the operating power expression of each chemical load device to obtain the operating power of each chemical load device at multiple times.
[0133] Optionally, the constraint parameters of each chemical load device include the ramp constraint parameters and the start / stop constraint parameters of each chemical load device.
[0134] The communication bus 304 mentioned in the above electronic device can be a Peripheral Component Interconnect (PCT) bus or an Extended Industry Standard Architecture (EISA) bus, etc. This communication bus 304 can be divided into an address bus, a data bus, a control bus, etc. For ease of identification, it is represented by only one thick line in the figure, but this does not indicate that there is only one bus or one type of data.
[0135] Communication interface 302 is used for communication between the aforementioned terminal and other devices.
[0136] The memory 303 may include random access memory (RAM) or non-volatile memory, such as at least one disk storage device. Optionally, the memory 303 may also be at least one storage device located remotely from the aforementioned processor 301. The aforementioned processor 301 may be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it may also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components.
[0137] This application also provides a computer-readable storage medium storing a computer program. When executed by a processor, this computer program implements the various processes of the above-described chemical load equipment control method embodiments and achieves the same technical effects. To avoid repetition, it will not be described again here. The computer-readable storage medium may be a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.
[0138] This application also provides a computer program product, including computer instructions, which, when executed by a processor, implement the above-described... Figure 1 The various processes of the method embodiments shown can achieve the same technical effect, and will not be described again here to avoid repetition.
[0139] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element.
[0140] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) and includes several instructions to cause a terminal (which may be a mobile phone, computer, server, air conditioner, or network device, etc.) to execute the methods described in the various embodiments of this application.
[0141] The embodiments of this application have been described above with reference to the accompanying drawings. However, this application is not limited to the specific embodiments described above. The specific embodiments described above are merely illustrative and not restrictive. Those skilled in the art can make many other forms under the guidance of this application without departing from the spirit and scope of the claims, and all of these forms are within the protection scope of this application.
Claims
1. A chemical process load apparatus control method characterized by comprising: The method comprises: obtaining state data and prediction data of each energy equipment in an energy system; inputting the state data and prediction data of each energy equipment into a production simulation model, and performing production simulation based on the production simulation model to obtain target simulation results, wherein the target simulation results comprise running powers of each chemical load equipment in the energy system at multiple time points, the running power of the chemical load equipment comprises a preset running power of the chemical load equipment and an adjusted running power of the chemical load equipment, and the production simulation model is constructed according to a first simulation model, a second simulation model and an association relationship between the chemical load equipment and the energy equipment, the first simulation model is constructed according to parameters of each energy equipment and a connection relationship between the energy equipment, and the second simulation model is constructed according to parameters of each chemical load equipment and a connection relationship between the chemical load equipment; determining running power curves of each chemical load equipment according to the running powers of each chemical load equipment at multiple time points respectively; controlling the running of each chemical load equipment based on the running power curves of each chemical load equipment respectively.
2. The chemical process plant control method of claim 1, wherein The target simulation results further comprise input and output results of each energy equipment at multiple time points; The controlling the running of each chemical load equipment based on the running power curves of each chemical load equipment respectively comprises: adjusting the running power curves of each chemical load equipment according to target curves of each energy equipment, wherein the target curves of each energy equipment are determined based on the input and output results of each energy equipment at multiple time points respectively; controlling the running of each chemical load equipment based on the adjusted running power curves of each chemical load equipment respectively.
3. The chemical process load apparatus control method according to claim 1 or 2, characterized by, The performing production simulation based on the production simulation model to obtain target simulation results comprises: performing production simulation based on a production simulation program running on the production simulation model to obtain target simulation results.
4. The chemical process plant control method of claim 3, wherein The production simulation program is constructed according to running parameters of each energy equipment and running parameters of each chemical load equipment, wherein the running parameters of each energy equipment comprise internal variable parameters of each energy equipment, constraint condition parameters of each energy equipment, input and output expression parameters of each energy equipment and running cost expression parameters of each energy equipment, and the running parameters of each chemical load equipment comprise internal variable parameters of each chemical load equipment, constraint condition parameters of each chemical load equipment, running power expression parameters of each chemical load equipment and running cost expression parameters of each chemical load equipment; The performing production simulation based on the production simulation program running on the production simulation model to obtain target simulation results comprises: The operation parameters of the energy devices and the operation parameters of the chemical load devices are called based on the production simulation model to obtain internal variables of the energy devices, constraint conditions of the energy devices, input-output expressions of the energy devices, operation cost expressions of the energy devices, internal variables of the chemical load devices, constraint conditions of the chemical load devices, operation power expressions of the chemical load devices and operation costs of the chemical load devices. The operation cost expressions of the energy devices and the operation cost expressions of the chemical load devices are added by the production simulation program to obtain a total operation cost expression. The variable values of the internal variables of the energy devices and the variable values of the internal variables of the chemical load devices in the total operation cost expression are calculated by the production simulation program with the lowest total operation cost as a preset target. The variable values of the internal variables of the energy devices are input into the input-output expressions of the energy devices by the production simulation program to obtain input-output results of the energy devices at multiple time points. The variable values of the internal variables of the chemical load devices are input into the operation power expressions of the chemical load devices by the production simulation program to obtain operation powers of the chemical load devices at multiple time points.
5. The chemical process load apparatus control method according to Claim 4, characterized by, The constraint condition parameters of the chemical load devices include ramping constraint parameters of the chemical load devices and start-stop constraint parameters of the chemical load devices.
6. A chemical load apparatus control device characterized by comprising: The device comprises: A first acquisition module configured to acquire state data and prediction data of each energy device in an energy system. A first simulation module configured to input the state data and the prediction data of the energy devices into a production simulation model, and perform production simulation based on the production simulation model to obtain a target simulation result, wherein the target simulation result comprises operation powers of each chemical load device in the energy system at multiple time points, the operation power of the chemical load device comprises a preset operation power of the chemical load device and an adjusted operation power of the chemical load device, and the production simulation model is constructed according to a first simulation model, a second simulation model and an association relationship between the chemical load devices and the energy devices, the first simulation model is constructed according to parameters of the energy devices and a connection relationship between the energy devices, and the second simulation model is constructed according to parameters of the chemical load devices and a connection relationship between the chemical load devices. A first determination module configured to determine operation power curves of the chemical load devices according to the operation powers of the chemical load devices at the multiple time points, respectively. A first control module configured to control the operation of the chemical load devices based on the operation power curves of the chemical load devices, respectively.
7. The chemical process load apparatus control device according to Claim 6, wherein The target simulation result further comprises input-output results of the energy devices at multiple time points. The first control module comprises: a first adjusting unit, configured to respectively adjust an operation power curve of each of the chemical load devices according to a target curve of each of the energy devices, wherein the target curve of each of the energy devices is determined based on input and output results of each of the energy devices at multiple time points; a first control unit, configured to control operation of each of the chemical load devices based on the adjusted operation power curve of each of the chemical load devices.
8. An electronic device, comprising: A computer program product comprising a processor, a memory, and a computer program stored on the memory and executable on the processor, the computer program, when executed by the processor, implements the steps of the chemical load device control method according to any one of claims 1 to 5.
9. A computer-readable storage medium, characterized in that, A computer readable storage medium having stored thereon a computer program, the computer program, when executed by a processor, implements the steps of the chemical load device control method according to any one of claims 1 to 5.
10. A computer program product, characterised in that, Computer instructions, when executed by a processor, implement the steps of the chemical load device control method according to any one of claims 1 to 5.