Energy management system and method based on double-draft deep backpressure unit

Abstract

This invention belongs to the field of energy management technology, and provides an energy management system and method based on a dual-extraction deep back-pressure turbine unit. The system includes: a steam pipeline monitoring unit for collecting multi-dimensional measured data of multi-stage steam headers and key components; a load forecasting unit for outputting steam demand forecasts for each stage and self-consumption load forecasts for the self-owned power plant within a set future time period based on the multi-dimensional measured data, pre-obtained chemical process production plans, and historical steam and electricity data, using a pre-constructed data forecasting model; and a unit control unit for outputting multi-level control commands to the target execution components, including the dual-extraction deep back-pressure turbine unit, based on the steam demand forecasts and self-consumption load forecasts. This solution can achieve multi-level energy cascade utilization of steam, eliminate condensing turbine cold source losses, increase the power generation capacity of the self-owned power plant, effectively reduce electricity purchase costs and electricity consumption risks, and improve coal resource utilization efficiency.

Description

Technical Field

[0001] This invention relates to the field of energy management technology, and in particular to an energy management system and method based on a dual-extraction deep back pressure unit. Background Technology

[0002] Currently, integrated chemical enterprises in China, including those in the fields of coal-to-oil, coal chemical, polyglycolic acid, and fertilizer, generally integrate multiple chemical processes to adapt to market changes and ensure development space. They have a large demand for low-pressure steam of various grades, which is widely used in core production links such as steam drive and process heat exchange.

[0003] Currently, integrated chemical enterprises mainly utilize steam at various levels through extraction condensing units, dual extraction condensing units, extraction back-pressure units, and conventional back-pressure units. However, all of these devices have significant technical shortcomings. On the one hand, using dual extraction condensing units results in high coal consumption for power generation, making it difficult to meet the energy consumption control requirements for power generation coal consumption of heating units. On the other hand, using conventional back-pressure units requires following a heat-driven power generation mode, which greatly limits the power generation capacity of self-owned power plants. This not only increases the enterprise's electricity purchase costs but also reduces the enterprise's power security, failing to meet the self-consumption load demand of large-scale integrated chemical enterprises. Furthermore, existing steam utilization systems lack precise coordinated control of multi-level steam headers, resulting in low steam energy utilization efficiency and significant cold source losses in condensing turbines. This further exacerbates the waste of coal resources and the high energy consumption per unit of product, hindering the energy conservation, consumption reduction, and sustainable development of integrated chemical enterprises.

[0004] This shows that traditional energy management solutions adapted to integrated chemical enterprises have technical problems such as low accuracy in energy consumption control and insufficient safety and reliability. Summary of the Invention

[0005] This invention provides an energy management system and method based on a dual-extraction deep back pressure unit, which solves the defects of traditional energy management solutions adapted to integrated chemical enterprises, such as low energy consumption control accuracy, insufficient safety and reliability.

[0006] On one hand, the present invention provides an energy management system based on a dual-extraction deep back-pressure unit, comprising: The steam pipeline monitoring unit is used to collect multi-dimensional measured data of multi-level steam main pipes and key components. The load forecasting unit is used to output the steam demand forecast results for each level and the self-consumption load forecast results of the self-owned power plant within a set future time period based on the multi-dimensional measured data, the pre-obtained chemical process production plan and historical steam and electricity data, and using a pre-built data forecasting model. The unit control unit is used to output multi-level control commands to the target execution component, which includes the double-extraction deep back pressure unit, based on the steam demand forecast results at each level and the self-consumption power load forecast results.

[0007] According to the energy management system based on a dual-extraction deep back pressure unit provided by the present invention, the multi-stage steam header includes steam headers of 9.8MPa level, 4.1MPa level and 1.1MPa level; The dual-extraction deep back pressure unit is connected to steam headers at 4.1 MPa and 1.1 MPa levels. The 0.1 MPa steam discharged from the dual-extraction deep back pressure unit is used to heat the boiler feedwater in the low-pressure deaerator.

[0008] According to the energy management system based on a dual-extraction deep back pressure unit provided by the present invention, the multi-dimensional measured data includes: pipeline measured data and component measured data; The steam pipeline monitoring unit includes: The pipeline monitoring module is used to collect pressure, temperature and flow parameters of multi-stage steam headers to obtain actual pipeline data. The component monitoring module is used to collect water level and temperature parameters of the low-pressure deaerator and the high-pressure deaerator, as well as the operating status parameters of the feed water pump and the relay water pump, to obtain the actual measured data of the components.

[0009] According to the energy management system based on a dual-extraction deep back pressure unit provided by the present invention, the steam pipeline monitoring unit further includes: The anomaly warning module is used to compare the measured data of the pipeline and the measured data of the component with their respective preset threshold parameters to obtain the comparison results. If the comparison results indicate that there is a data anomaly, an early warning message is generated and sent to the management and control platform.

[0010] According to the energy management system based on a dual-extraction deep back pressure turbine provided by the present invention, the multi-level control commands include: main steam intake adjustment command for the dual-extraction deep back pressure turbine, steam extraction allocation command for the multi-stage steam header, back pressure parameter adjustment command, and energy level conversion control command for the feedwater pump turbine.

[0011] According to the energy management system based on a dual-extraction deep back-pressure turbine unit provided by the present invention, the main steam intake regulation command of the dual-extraction deep back-pressure turbine unit and the extraction steam distribution command of the multi-stage steam header are obtained through the following process: Based on the steam demand forecasts at each level, and combined with the pre-obtained main steam supply capacity, the main steam intake volume and the extraction steam allocation ratios at the 4.1MPa and 1.1MPa levels related to the dual-extraction deep back-pressure unit are calculated according to the principle of energy level cascade utilization. Based on the main steam intake volume, a main steam intake volume adjustment command is generated; Based on the stated extraction distribution ratio, a steam extraction quantity distribution instruction is generated.

[0012] According to the energy management system based on a dual-extraction deep back-pressure unit provided by the present invention, the back-pressure parameter adjustment command and the energy level conversion control command of the feedwater pump turbine are obtained through the following process: The self-consumption load gap is determined based on the self-consumption load forecast results, and the optimal power generation of the unit is determined by combining the preset target back pressure parameters and the extraction steam allocation ratio. Obtain the measured back pressure parameters and measured power generation, and generate a back pressure parameter adjustment command based on the deviation between the measured back pressure parameters and the target back pressure parameters and the deviation between the measured power generation and the unit's optimal power generation. Based on the aforementioned air extraction distribution ratio, the steam inlet flow rate and speed adjustment value of the feedwater pump turbine are determined, and based on the aforementioned steam inlet flow rate and speed adjustment value, an energy level conversion control command for the feedwater pump turbine is generated.

[0013] According to the energy management system based on a dual-extraction deep back pressure unit provided by the present invention, the system further includes: an energy consumption metering unit; The energy consumption metering unit is used to count the boiler steam supply, steam consumption of each process, and power generation of the unit, and to generate energy consumption metering reports.

[0014] According to the energy management system based on a dual-extraction deep back pressure unit provided by the present invention, the system further includes: a data traceability unit; The data traceability unit is used to classify and store the multi-dimensional measured data, the multi-level control instructions, and the energy consumption metering reports.

[0015] On the other hand, the present invention also provides an energy management method based on a dual-extraction deep back pressure unit, and based on any of the above-described energy management systems for dual-extraction deep back pressure units, the method includes: Multidimensional measured data of multiple steam main pipes and key components are collected through the steam pipeline network monitoring unit; Based on the multidimensional measured data, the pre-obtained chemical process production plan, and historical steam and electricity data, the load forecasting unit uses a pre-built data forecasting model to output the steam demand forecast results for each level and the self-consumption load forecast results for the self-owned power plant within a set future time period. Based on the steam demand forecast results at each level and the self-consumption power load forecast results, the unit control unit outputs multi-level control commands to the target execution components, including the double-extraction deep back pressure unit.

[0016] The energy management system and method based on a dual-extraction deep back-pressure turbine unit provided by this invention accurately captures relevant data of multi-stage steam headers and key components through a steam pipeline monitoring unit. Relying on the data prediction model of the load prediction unit, it outputs accurate steam demand and self-consumption power load prediction results. Then, the unit control unit issues targeted multi-level control commands, enabling coordinated operation of the dual-extraction deep back-pressure turbine unit and related actuators. This achieves multi-level energy cascade utilization of steam, eliminates condensing turbine cold source losses, significantly reduces coal consumption for power supply and energy consumption per unit of product, and greatly increases the power generation capacity of the self-owned power plant, fully meeting the self-consumption power needs of integrated chemical enterprises. This effectively reduces electricity purchase costs and electricity risks, improves coal resource utilization efficiency, and provides strong support for enterprises to achieve energy conservation, emission reduction, and sustainable development. Attached Figure Description

[0017] To more clearly illustrate the technical solutions in this invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0018] Figure 1 This is a schematic diagram of the energy management system based on a dual-extraction deep back pressure unit provided in an embodiment of the present invention; Figure 2 This is a schematic diagram showing the connection relationship between the unit and each pipeline in an embodiment of the present invention; Figure 3 This is a schematic flowchart of the energy management method based on a double-extraction deep back pressure unit provided in an embodiment of the present invention. Detailed Implementation

[0019] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this invention. All other embodiments obtained by those skilled in the art based on the embodiments of this invention without creative effort are within the scope of protection of this invention.

[0020] The following is combined Figures 1 to 3 This invention describes the detailed scheme of the energy management system and method based on a double-extraction deep back pressure unit provided in the embodiments of the present invention.

[0021] like Figure 1 As shown, the energy management system based on a dual-extraction deep back-pressure unit provided in this embodiment of the invention mainly includes: The steam pipeline monitoring unit 110 is used to collect multi-dimensional measured data of multi-level steam main pipes and key components.

[0022] The load forecasting unit 120 is used to output the steam demand forecast results for each level and the self-consumption load forecast results of the self-owned power plant within a set future time period based on multi-dimensional measured data, pre-obtained chemical process production plans and historical steam and electricity data, and using a pre-built data forecasting model.

[0023] The unit control unit 130 is used to output multi-level control commands to the target execution components, including the double-extraction deep back pressure unit, based on the steam demand forecast results and the self-consumption power load forecast results at each level.

[0024] In one embodiment, such as Figure 2 As shown, the multi-stage steam header includes steam headers at 9.8 MPa, 4.1 MPa, and 1.1 MPa levels.

[0025] The double-extraction deep back pressure unit is connected to steam headers at 4.1MPa and 1.1MPa levels. The 0.1MPa steam discharged from the double-extraction deep back pressure unit is used to heat the boiler feedwater in the low-pressure deaerator.

[0026] See Figure 2 The 9.8MPa main steam is fed into the double-extraction deep back-pressure unit via the 9.8MPa steam header. Through the valve branch, it can output 4.1MPa medium-pressure steam via the 4.1MPa steam header and 1.1MPa low-pressure steam via the 1.1MPa steam header. The unit finally discharges 0.1MPa back-pressure exhaust gas to the low-pressure deaerator. After mixing with the input demineralized water in the low-pressure deaerator, it is transported to the high-pressure deaerator by the relay water pump. Then, it is used as boiler feedwater by the feed water pump to complete the circulation. The whole process realizes the cascade utilization of steam and the deoxygenation circulation of the water system.

[0027] In this embodiment, the double-extraction deep back pressure unit is used for energy level optimization of steam of different grades in chemical enterprises. This can eliminate the cold source loss of condensing steam turbine, significantly reduce the coal consumption for power generation of the unit, and at the same time, the low back pressure parameter of the unit increases the power generation capacity of the unit and better meets the self-provided power demand of the unit.

[0028] In one embodiment, the multidimensional measured data specifically includes: pipeline measured data and component measured data.

[0029] Furthermore, the steam pipeline monitoring unit specifically includes: The pipeline monitoring module is used to collect pressure, temperature and flow parameters of multi-stage steam headers to obtain actual pipeline data.

[0030] In practical applications, for multi-stage steam headers, sensing devices adapted to the operating conditions can be deployed separately. Specifically, pressure parameter acquisition can use high-precision pressure transmitters, and three representative measuring points can be selected for each stage of the steam header, such as the middle of the header and near the inlet and outlet of the unit. The collected pressure data is averaged to eliminate the influence of local flow field disturbances and obtain the pressure parameters. Temperature parameter acquisition can use thermocouples, which are directly inserted into the core area of ​​the steam flow field to obtain the temperature parameters.

[0031] Flow parameter acquisition can be configured differently according to the pressure level of the main pipe. For example, a long-neck nozzle throttling device can be used for the main steam pipe at 9.8MPa level, combined with a differential pressure transmitter to collect differential pressure signals, and temperature and pressure data can be input for density compensation. The mass flow rate can be calculated using Bernoulli's equation. For medium and low pressure steam pipes at 4.1MPa and 1.1MPa levels, vortex flow meters can be used to avoid high pressure loss affecting system efficiency.

[0032] The raw data collected by all sensing devices can be uploaded to the edge computing gateway in real time via the 4G wireless transmission module. The gateway removes outliers, fills in missing values ​​by linear interpolation, and aligns the pressure, temperature, and flow parameters according to the time series, ultimately forming structured pipeline measured data, which is then pushed to the load forecasting unit to support subsequent load forecasting and unit control.

[0033] The component monitoring module is used to collect water level and temperature parameters of the low-pressure deaerator and the high-pressure deaerator, as well as the operating status parameters of the feed water pump and the relay water pump, to obtain the actual measured data of the components.

[0034] For both low-pressure and high-pressure deaerators, two differential pressure level gauges can be deployed to collect water level parameters. Specifically, they can be installed on the upper and lower parts of the deaerator sidewall. The actual water level is calculated by converting the differential pressure at the pressure tapping points, and the deaerator pressure signal is simultaneously connected to complete the error correction of temperature on water level measurement to ensure the accuracy of water level monitoring. Temperature parameter acquisition can be carried out using PT100 thermocouples. One measuring point is set at the inlet, outlet, and heating steam inlet of the low-pressure deaerator, and two additional measuring points are set at key locations on the shell wall of the high-pressure deaerator to capture changes in water temperature and equipment body temperature in real time.

[0035] For water supply pumps and relay pumps, an explosion-proof integrated vibration and temperature sensor can be installed on the outside of the pump body bearing housing to collect bearing vibration intensity and temperature parameters; piezoelectric pressure sensors and vortex flow meters can be deployed in the inlet and outlet pipes of the pump to obtain inlet and outlet pressure and flow rate; at the same time, the motor operating current can be collected through a current transformer, and the pump speed can be obtained by combining the output signal of the frequency converter to comprehensively judge the operating status.

[0036] The analog signals collected by all sensors are converted into digital signals by the distributed data acquisition terminal and transmitted to the edge gateway via industrial Ethernet. The edge gateway performs outlier removal and missing value linear interpolation to fill in the missing values. It then performs structured integration according to equipment type, parameter category, and acquisition time, and finally generates actual measured data of components including deaerator water level, temperature, water pump vibration, pressure, flow rate, and current. This data is then simultaneously pushed to the load prediction unit to support subsequent unit control and fault early warning.

[0037] In one embodiment, the steam network monitoring unit may further include: The anomaly warning module is used to compare the measured data of pipelines and components with their respective preset threshold parameters to obtain the comparison results. If the comparison results indicate that there is a data anomaly, an early warning message is generated and sent to the management and control platform.

[0038] In practical applications, based on the characteristics of chemical scenarios adapted to dual-extraction deep back pressure units, threshold parameters for two types of monitoring objects can be preset. On the pipeline side, for multi-stage steam headers, pressure fluctuation thresholds, temperature deviation thresholds, and flow abnormality thresholds can be set respectively. On the component side, water level thresholds and temperature thresholds can be set for low-pressure and high-pressure deaerators, and bearing temperature thresholds, vibration intensity thresholds, and current fluctuation thresholds can be set for feedwater pumps and relay pumps. All thresholds can be dynamically adjusted according to equipment models and process requirements.

[0039] Furthermore, the anomaly warning module compares parameters one by one and over a set time period. For the measured data of the pipeline, it can check the deviation between the real-time value and the preset threshold every 30 seconds. For the measured data of the components, it can monitor key parameters every 15 seconds and comprehensively check the correlation of multiple parameters every minute, such as the coordinated changes of the deaerator temperature and water level.

[0040] If the measured value of a single parameter exceeds the threshold corresponding to the threshold, or if multiple parameters show abnormal correlation, it can be automatically judged as data abnormality, and the warning level can be determined according to the severity. For example, three warning levels can be set: Level 3 (slight deviation of a single parameter, such as pressure fluctuation of 0.22MPa), Level 2 (severe deviation of a single parameter or abnormal correlation of two parameters), and Level 1 (multiple parameters exceed the limit and endanger the safety of the unit, such as a sudden increase of 30% in feedwater pump current).

[0041] Finally, corresponding warning information is generated according to the warning level, including the name of the abnormal parameter, the measured value, the threshold range, the duration of the abnormality, and the associated equipment number. This information is pushed to the management and control platform via industrial Ethernet, and the platform's audio and visual prompts are triggered simultaneously. For warnings of level two and above, the information is also pushed to the operation and maintenance personnel's terminals via SMS or email, and the abnormal location is marked on the management and control platform. Historical data is also retrieved to assist in fault location. At the same time, the issuance of regular commands by the unit's control unit is suspended until the abnormality is resolved.

[0042] In this embodiment, the multi-level control commands specifically include: the main steam intake volume adjustment command for the dual-extraction deep back pressure unit, the steam extraction volume allocation command for the multi-stage steam header, the back pressure parameter adjustment command, and the energy level conversion control command for the feedwater pump turbine.

[0043] In one embodiment, the main steam intake regulation command and the extraction steam distribution command of the multi-stage steam header of the dual-extraction deep back-pressure unit are obtained through the following process: First, based on the steam demand forecasts at all levels and combined with the pre-obtained main steam supply capacity, the main steam intake volume and the extraction steam allocation ratios at the 4.1MPa and 1.1MPa levels related to the dual-extraction deep back-pressure unit are calculated according to the principle of energy level cascade utilization.

[0044] In this embodiment, based on the steam demand forecasts for the 4.1MPa and 1.1MPa levels from the steam demand forecast results at each level, the pre-stored 9.8MPa main steam supply capacity data can be retrieved. The main steam supply capacity data includes the boiler's rated steam supply and real-time available steam volume. The calculation strictly follows the principle of prioritizing high-grade steam to meet the core processes and utilizing energy levels step by step without waste. First, the total demand gap for 4.1MPa and 1.1MPa steam is calculated. Combined with the rated parameters of the dual-extraction deep back-pressure unit, the basic value of the main steam intake is determined. Then, based on the energy level conversion requirements of the feedwater pump turbine, the corresponding 1.1MPa steam consumption is reserved, and the main steam intake is corrected in reverse to ensure that the intake volume meets the steam demand of both extraction stages without exceeding the upper limit of the main steam supply and the rated load range of the unit.

[0045] Meanwhile, prioritizing 4.1MPa steam for coal-to-olefins processes and 1.1MPa steam for both PGA production and feedwater pump turbine drive, the extraction steam allocation ratio of 4.1MPa and 1.1MPa is calculated based on the predicted demand ratio of the two types of steam, ensuring that the allocation result accurately matches the steam demand of each process.

[0046] Then, based on the main steam intake volume, a main steam intake volume adjustment command is generated.

[0047] In practical applications, the main steam intake volume calculated in the first step can be adjusted and optimized by combining the pressure and temperature parameters of the 9.8MPa-level steam header with real-time feedback from the steam pipeline monitoring unit. If the current header pressure is higher than the rated value of 9.8MPa, the calculated intake volume should be appropriately reduced; if the pressure is lower than the rated value, the intake volume should be slightly increased within the allowable range of supply capacity to ensure the stability of the header parameters.

[0048] Furthermore, the final determined main steam intake volume value is converted into a control signal that the unit can recognize, and the main steam valve opening adjustment parameters are clarified. For example, if the intake volume is 400t / h, the main steam valve opening is 80%. A standardized main steam intake volume adjustment command is generated. The main steam intake volume adjustment command specifically includes the target intake volume, adjustment step size, adjustment time limit, and feedback verification interval to ensure that the unit can perform the adjustment smoothly and controllably.

[0049] Finally, based on the extraction distribution ratio, an extraction steam volume distribution instruction is generated.

[0050] In practical applications, the allocation ratio of 4.1MPa and 1.1MPa extraction steam can be further refined based on the real-time operating status of the two types of steam headers. For 4.1MPa extraction steam, the allocation ratio is converted into specific extraction steam volume values ​​according to the real-time steam consumption fluctuations of the coal-to-olefins process, and corresponding extraction steam regulating valve opening commands are generated. For 1.1MPa extraction steam, the extraction steam volume corresponding to the allocation ratio is split according to the proportion of steam demand for PGA production and steam turbine drive demand for feedwater pumps, and regulating commands for two extraction steam branches are generated separately, i.e., extraction steam volume allocation commands. The commands clearly specify the target flow rate, regulating valve adjustment rate, and parameter feedback threshold of each extraction stage, ensuring that the 4.1MPa and 1.1MPa extraction steam volumes are accurately output according to the allocation ratio, while adapting to the subsequent process steam consumption and energy level conversion requirements.

[0051] In one embodiment, the back pressure parameter adjustment command and the feedwater pump turbine energy level conversion control command are obtained through the following process: First, the self-consumption load gap is determined based on the self-consumption load forecast results, and the optimal power generation of the unit is determined by combining the preset target back pressure parameters and extraction steam allocation ratio.

[0052] In this embodiment, the self-consumption load forecasting results output by the load forecasting unit can be retrieved, and the self-consumption load gap can be calculated by combining the actual power supply of the self-provided power station. At the same time, the target back pressure parameter (i.e., 0.1MPa) preset by the system and the determined extraction steam allocation ratio of 4.1MPa and 1.1MPa can be retrieved. The correlation characteristic curve between the rated power (e.g., 50MW) of the double extraction deep back pressure unit and the steam consumption and back pressure parameter can be referenced, and the calculation can be performed through the energy balance equation.

[0053] Specifically, with the goal of meeting the self-consumption electricity load gap, while taking into account the steam consumption corresponding to the extraction steam allocation ratio and the energy utilization efficiency under the target back pressure, power options that exceed the rated load range and steam supply capacity of the unit are eliminated. Finally, the optimal power generation capacity of the unit that can both fill the self-consumption electricity load gap and adapt to the back pressure parameters and extraction steam demand is determined.

[0054] Then, the measured back pressure parameters and measured power generation are obtained. Based on the deviation between the measured back pressure parameters and the target back pressure parameters, and the deviation between the measured power generation and the unit's optimal power generation, a back pressure parameter adjustment command is generated.

[0055] In practical applications, the measured back pressure parameters can be compared with the preset target back pressure parameters to calculate the back pressure deviation. At the same time, the measured power generation can be compared with the optimal power generation to obtain the power deviation. If the back pressure deviation exceeds the allowable range, such as ±0.02MPa, or the power deviation exceeds ±1MW, the exhaust valve opening adjustment can be calculated based on the PID control algorithm and the coupling relationship between back pressure and power generation.

[0056] Specifically, if the measured back pressure parameter is higher than the target back pressure parameter and the power meets the standard, the opening of the exhaust valve needs to be increased; if the measured power generation is lower than the optimal power generation and the back pressure parameter is normal, the opening of the exhaust valve needs to be appropriately reduced to increase the power, while ensuring that the back pressure parameter does not exceed the limit; then the opening adjustment amount can be converted into a standardized control signal to generate a back pressure parameter adjustment command containing the target back pressure parameter, adjustment step size, and feedback verification interval.

[0057] Finally, based on the extraction distribution ratio, the steam inlet flow rate and speed adjustment values ​​of the feedwater pump turbine are determined, and the energy level conversion control command of the feedwater pump turbine is generated according to the steam inlet flow rate and speed adjustment values.

[0058] In this embodiment, energy level utilization between 1.1MPa and 0.46MPa steam grades can be achieved using feedwater pump turbines with steam pressure ranging from 1.1MPa to 0.46MPa. In practical applications, based on the determined steam extraction distribution ratio for 1.1MPa steam, combined with the demand forecast for 0.46MPa steam from PGA production and subsequent processes, the required steam intake for the 1.1 to 0.46MPa feedwater pump turbine can be calculated. Based on the steam intake-speed-exhaust characteristic curve of the feedwater pump turbine, the corresponding speed adjustment value can be derived to ensure that the steam intake and speed are matched, achieving efficient energy level conversion between 1.1MPa and 0.46MPa steam grades.

[0059] Meanwhile, by referring to the real-time pressure and flow data of the 0.46MPa steam header, the steam inlet flow rate and speed adjustment values ​​are corrected to avoid fluctuations in steam parameters. The final determined target steam inlet flow rate and speed adjustment value are converted into control commands that the unit can execute. The command content needs to specify the opening degree of the regulating valve, the speed adjustment rate and the parameter feedback threshold, and generate the energy level conversion control command of the feedwater pump turbine, so as to ensure a stable 0.46MPa steam supply and meet the process requirements.

[0060] In one embodiment, the energy management system based on the dual-extraction deep back pressure unit may further include an energy consumption metering unit.

[0061] The energy consumption metering unit is used to count the boiler steam supply, steam consumption of each process, and power generation of the unit, and to generate energy consumption metering reports.

[0062] In practical applications, the energy consumption metering unit can access multi-dimensional measured data collected by the steam pipeline monitoring unit in real time, synchronously acquire real-time power generation data of the double-extraction deep back pressure unit and accumulate the power generation of the computer group, and simultaneously receive single-unit and total steam supply data transmitted by the boiler operation system; perform consistency verification on various types of collected data, eliminate abnormal fluctuation values, and calculate core indicators such as power supply coal consumption, steam utilization efficiency, and unit product energy consumption by combining preset steam enthalpy value and coal consumption conversion coefficient through the energy balance principle; and integrate key data such as boiler steam supply, steam consumption of each process, and total power generation of the unit on a daily, weekly, or monthly basis to generate structured energy consumption metering reports.

[0063] In this embodiment, the structured energy consumption metering report includes data sources, calculation logic, and energy consumption comparison analysis with traditional units. It can also be simultaneously pushed to the management and control platform and data traceability unit, supporting online querying, export, and integration with enterprise ERP systems, providing data support for cost accounting and energy-saving optimization.

[0064] In one embodiment, the energy management system based on the dual-extraction deep back pressure unit may further include: a data traceability unit.

[0065] The data traceability unit is used to classify and store multi-dimensional measured data, multi-level control instructions, and energy consumption metering reports.

[0066] In practical applications, multi-dimensional measured data, multi-level control instructions, and energy consumption metering reports can be classified and identified first, and a unique index can be built according to data type, collection or generation time, and associated equipment number. Then, a distributed database architecture can be used to store different types of data in corresponding partitions.

[0067] Specifically, multi-dimensional measured data can be stored in time-series partitions, supporting millisecond-level writing and backtracking queries; multi-level control commands can be associated with equipment operation logs, recording command issuance time, execution status, and feedback results; energy consumption metering reports can be archived by period, synchronously saving the original report data and calculation logic; at the same time, a dual backup mechanism is activated, with core data stored on the local disk and historical data synchronously backed up in the cloud to ensure that data is not lost.

[0068] In some embodiments, it can adapt to the data access needs of the management and control platform and the enterprise ERP system, provide interfaces for searching by time range, equipment type and data category, support data export and historical trajectory tracing, and thus provide complete data support for equipment maintenance, process optimization and energy-saving effect review.

[0069] Based on the same general inventive concept, this invention also protects an energy management method based on a double-extraction deep back pressure unit. The energy management method based on a double-extraction deep back pressure unit provided by this invention is described below. The energy management method based on a double-extraction deep back pressure unit described below and the energy management system based on a double-extraction deep back pressure unit described above can be referred to in correspondence.

[0070] like Figure 3 As shown, the energy management method based on a dual-extraction deep back-pressure unit provided in this embodiment of the invention can be implemented based on the energy management system based on a dual-extraction deep back-pressure unit provided in the above embodiments. The method mainly includes the following steps: Step 210: Collect multi-dimensional measured data of multi-stage steam main pipes and key components through the steam pipeline network monitoring unit.

[0071] Step 220: Based on multi-dimensional measured data, as well as pre-obtained chemical process production plans and historical steam and electricity data, the load forecasting unit uses a pre-built data forecasting model to output the steam demand forecast results for each level and the self-consumption load forecast results for the self-owned power plant within the set future time period.

[0072] Step 230: Based on the steam demand forecast results and self-consumption power load forecast results at each level, the unit control unit outputs multi-level control commands to the target execution components including the double-extraction deep back pressure unit.

[0073] The specific implementation of each step in the methods described in the above embodiments has been described in detail in the embodiments of the relevant systems, and will not be elaborated further here.

[0074] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. An energy management system based on a dual-extraction deep back-pressure unit, characterized in that, include: The steam pipeline monitoring unit is used to collect multi-dimensional measured data of multi-level steam main pipes and key components. The load forecasting unit is used to output the steam demand forecast results for each level and the self-consumption load forecast results of the self-owned power plant within a set future time period based on the multi-dimensional measured data, the pre-obtained chemical process production plan and historical steam and electricity data, and using a pre-built data forecasting model. The unit control unit is used to output multi-level control commands to the target execution component, which includes the double-extraction deep back pressure unit, based on the steam demand forecast results at each level and the self-consumption power load forecast results.

2. The energy management system based on a dual-extraction deep back-pressure unit according to claim 1, characterized in that, The multi-stage steam header includes steam headers at 9.8 MPa, 4.1 MPa, and 1.1 MPa levels. The dual-extraction deep back pressure unit is connected to steam headers at 4.1 MPa and 1.1 MPa levels. The 0.1 MPa steam discharged from the dual-extraction deep back pressure unit is used to heat the boiler feedwater in the low-pressure deaerator.

3. The energy management system based on a dual-extraction deep back-pressure unit according to claim 1, characterized in that, The multidimensional measured data includes: pipeline measured data and component measured data; The steam pipeline monitoring unit includes: The pipeline monitoring module is used to collect pressure, temperature and flow parameters of multi-stage steam headers to obtain actual pipeline data. The component monitoring module is used to collect water level and temperature parameters of the low-pressure deaerator and the high-pressure deaerator, as well as the operating status parameters of the feed water pump and the relay water pump, to obtain the actual measured data of the components.

4. The energy management system based on a dual-extraction deep back-pressure unit according to claim 3, characterized in that, The steam pipeline monitoring unit also includes: The anomaly warning module is used to compare the measured data of the pipeline and the measured data of the component with their respective preset threshold parameters to obtain the comparison results. If the comparison results indicate that there is a data anomaly, an early warning message is generated and sent to the management and control platform.

5. The energy management system based on a dual-extraction deep back-pressure unit according to claim 1, characterized in that, The multi-level control commands include: main steam intake volume adjustment command for dual-extraction deep back pressure units, steam extraction volume distribution command for multi-stage steam headers, back pressure parameter adjustment command, and energy level conversion control command for feedwater pump turbines.

6. The energy management system based on a dual-extraction deep back-pressure unit according to claim 5, characterized in that, The main steam intake regulation command of the dual-extraction deep back-pressure unit and the extraction steam distribution command of the multi-stage steam header are obtained through the following process: Based on the steam demand forecasts at each level, and combined with the pre-obtained main steam supply capacity, the main steam intake volume and the extraction steam allocation ratios at the 4.1MPa and 1.1MPa levels related to the dual-extraction deep back-pressure unit are calculated according to the principle of energy level cascade utilization. Based on the main steam intake volume, a main steam intake volume adjustment command is generated; Based on the stated extraction distribution ratio, a steam extraction quantity distribution instruction is generated.

7. The energy management system based on a dual-extraction deep back-pressure unit according to claim 6, characterized in that, The back pressure parameter adjustment command and the energy level conversion control command of the feedwater pump turbine are obtained through the following process: The self-consumption load gap is determined based on the self-consumption load forecast results, and the optimal power generation of the unit is determined by combining the preset target back pressure parameters and the extraction steam allocation ratio. Obtain the measured back pressure parameters and measured power generation, and generate a back pressure parameter adjustment command based on the deviation between the measured back pressure parameters and the target back pressure parameters and the deviation between the measured power generation and the unit's optimal power generation. Based on the aforementioned air extraction distribution ratio, the steam inlet flow rate and speed adjustment value of the feedwater pump turbine are determined, and based on the aforementioned steam inlet flow rate and speed adjustment value, an energy level conversion control command for the feedwater pump turbine is generated.

8. The energy management system based on a dual-extraction deep back pressure unit according to claim 1, characterized in that, The system also includes: an energy consumption metering unit; The energy consumption metering unit is used to count the boiler steam supply, steam consumption of each process, and power generation of the unit, and to generate energy consumption metering reports.

9. The energy management system based on a dual-extraction deep back-pressure unit according to claim 8, characterized in that, The system also includes: a data traceability unit; The data traceability unit is used to classify and store the multi-dimensional measured data, the multi-level control instructions, and the energy consumption metering reports.

10. An energy management method based on a dual-extraction deep back-pressure unit, characterized in that, Based on the energy management system for a dual-extraction deep back-pressure unit as described in any one of claims 1 to 9, the method includes: Multidimensional measured data of multiple steam main pipes and key components are collected through the steam pipeline network monitoring unit; Based on the multidimensional measured data, the pre-obtained chemical process production plan, and historical steam and electricity data, the load forecasting unit uses a pre-built data forecasting model to output the steam demand forecast results for each level and the self-consumption load forecast results for the self-owned power plant within a set future time period. Based on the steam demand forecast results at each level and the self-consumption power load forecast results, the unit control unit outputs multi-level control commands to the target execution components, including the double-extraction deep back pressure unit.

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