Layered and graded energy-saving control method and system for electric precipitator and storage medium

Abstract

The embodiment of the invention provides a layered and graded energy-saving control method and system for an electric precipitator and a storage medium, and belongs to the technical field of electric precipitation equipment control. The method comprises the following steps: acquiring operation data of each electric field, calculating dust removal efficiency and electric field power corresponding to each electric field, and calculating a marginal benefit value corresponding to each electric field; performing power grading processing on each electric field, generating an electric field power grade corresponding to each electric field, and generating a target power distribution result of each electric field; acquiring operation state data of a power supply layer, and generating a power supply layer switching strategy; executing a power supply layer switching operation, and adjusting power supply parameters of each electric field; and acquiring abnormal monitoring data in the process of executing the switching operation of the power supply layer and adjusting the power supply parameters of each electric field, and correcting the electric field power level and the switching strategy of the power supply layer of each electric field. According to the scheme, through closed-loop control of marginal benefit grading and power supply layer cooperative switching, cooperative improvement of dynamic reconstruction and operation stability of an electric field power structure is realized.

Description

Technical Field

[0001] This invention relates to the field of electrostatic precipitator control technology, specifically to a hierarchical energy-saving control method for electrostatic precipitators, a hierarchical energy-saving control system for electrostatic precipitators, and a storage medium. Background Technology

[0002] Electrostatic precipitators (ESPs) are crucial equipment for industrial flue gas treatment. Their core function is to capture particulate matter from flue gas using a high-voltage electric field, placing them at a key position in flue gas purification systems for power plants and various industrial furnaces. With increasingly stringent emission standards, the operating status of ESPs directly impacts flue gas emission concentrations and unit energy consumption, affecting the overall power plant's emission compliance and economic operating costs. Currently, in long-term operation, factors such as fuel composition, load variations, flue gas dust characteristics, and equipment aging commonly lead to problems such as reduced dust removal efficiency, increased energy consumption, and more pronounced operational fluctuations in ESPs. To ensure emission compliance, the system often needs to increase the power supply voltage or extend the operating cycle, resulting in energy waste, increased equipment heat load, and increased operational and maintenance pressure. Existing control methods utilize multiple TR power supply systems and controllers (such as EPIC and EPHS) for regulation. While these methods offer some dynamic adjustment and spark protection, they lack overall optimization of power across the upstream and downstream electric fields and a hierarchical power coordination mechanism. This results in some electric fields having excessively high power while others have insufficient power, leading to uneven coordination between electric fields, abnormal partial discharge, and a decrease in overall dust removal efficiency. Consequently, energy consumption increases and system efficiency remains low. This approach also has shortcomings in high-voltage stable control, dynamic power distribution, and system energy efficiency optimization, resulting in limited energy-saving effects and failing to meet the power plant's requirements for high-efficiency, low-consumption operation. Summary of the Invention

[0003] The purpose of this invention is to provide a hierarchical energy-saving control method, system, and storage medium for electrostatic precipitators, so as to at least solve the problems of unbalanced power distribution in various electric fields and lack of coordinated scheduling in power supply hierarchical control of existing electrostatic precipitators under load fluctuation conditions, which leads to a decrease in dust removal efficiency and an increase in energy consumption.

[0004] To achieve the above objectives, the first aspect of the present invention provides a hierarchical energy-saving control method for an electrostatic precipitator, the method comprising: acquiring operating data of each electric field, and calculating the dust removal efficiency and electric field power of each electric field based on the operating data; calculating the marginal benefit value of each electric field based on the dust removal efficiency and electric field power; performing power grading processing on each electric field based on the marginal benefit value of each electric field to generate an electric field power level corresponding to each electric field, and generating a target power allocation result for each electric field based on the electric field power level; acquiring operating status data of the power supply layer, and generating a power supply layer switching strategy based on the target power allocation result and the operating status data of the power supply layer; executing a power supply layer switching operation based on the power supply layer switching strategy, and adjusting the power supply parameters of each electric field based on the target power allocation result of each electric field; acquiring abnormal monitoring data during the execution of the power supply layer switching operation and the adjustment of the power supply parameters of each electric field, and correcting the electric field power level of each electric field and the power supply layer switching strategy based on the abnormal monitoring data.

[0005] Optionally, the dust removal efficiency and electric field power of each electric field are calculated based on the operating data, and the marginal benefit value of each electric field is calculated based on the dust removal efficiency and electric field power of each electric field. This includes: acquiring inlet dust concentration data and outlet dust concentration data of each electric field, and calculating the dust removal efficiency of each electric field based on the inlet dust concentration data and outlet dust concentration data; acquiring secondary voltage data and secondary current data of each electric field, and calculating the electric field power of each electric field based on the secondary voltage data and secondary current data; calculating the change in dust removal efficiency and the change in electric field power of each electric field within a preset time window, and calculating the marginal benefit value of each electric field based on the change in dust removal efficiency and the change in electric field power.

[0006] Optionally, within a preset time window, the changes in dust removal efficiency and electric field power for each corresponding electric field are calculated, and the marginal benefit value for each corresponding electric field is calculated based on the changes in dust removal efficiency and electric field power. This includes: performing sliding sampling on the dust removal efficiency of each corresponding electric field within the preset time window to generate a time series of dust removal efficiency for each corresponding electric field, and calculating the changes in dust removal efficiency for each corresponding electric field based on the dust removal efficiency time series; performing sliding sampling on the electric field power of each corresponding electric field within the preset time window to generate a time series of electric field power for each corresponding electric field, and calculating the changes in electric field power for each corresponding electric field based on the electric field power time series; constructing a marginal benefit ratio for each corresponding electric field based on the changes in dust removal efficiency and electric field power, and performing abnormal fluctuation removal processing on the marginal benefit ratio to generate an effective marginal benefit value for each corresponding electric field.

[0007] Optionally, power classification processing is performed on each electric field based on the marginal benefit value of each electric field to generate the electric field power level corresponding to each electric field. This includes: performing normalization processing on the marginal benefit value of each electric field to generate a standardized marginal benefit value corresponding to each electric field; performing sorting processing on the standardized marginal benefit value of each electric field to generate an electric field priority sequence; and dividing each electric field into a corresponding power level interval based on the electric field priority sequence and a preset power classification threshold interval to generate the electric field power level corresponding to each electric field.

[0008] Optionally, generating target power allocation results for each electric field based on the electric field power level of each electric field includes: obtaining the total available power value for the current period, and constructing a power allocation weight sequence based on the total available power value and the electric field power level of each electric field; performing a proportional allocation calculation on the total available power value based on the power allocation weight sequence to generate an initial allocated power value for each electric field; obtaining the upper limit power value and the power adjustment range constraint value for each electric field, and performing constraint correction processing on the initial allocated power value based on the upper limit power value and the power adjustment range constraint value to generate target power allocation results for each electric field.

[0009] Optionally, the process involves acquiring power layer operational status data and generating a power layer switching strategy based on the target power allocation result and the power layer operational status data. This includes: acquiring the layer capacity data, current operational status data, and response time parameters of each power layer to generate a power layer status sequence; calculating the target total power supply value for the current period based on the target power allocation result of each electric field, and matching the target total power supply value with the power layer status sequence to generate a power layer capacity difference sequence; determining the power layer operational or decommissioning order based on the power layer capacity difference sequence and the response time parameters to generate a power layer switching priority sequence; and generating a power layer switching strategy that includes a switching time interval and a switching layer combination based on the power layer switching priority sequence.

[0010] Optionally, the power layer switching operation is performed based on the power layer switching strategy, and the power supply parameters of each electric field are adjusted based on the target power allocation results of each electric field. This includes: performing power-on or power-off operations on the corresponding power layers sequentially according to a preset switching time interval based on the power layer switching strategy, generating an updated power layer power-on state sequence; after generating the updated power layer power-on state sequence, obtaining the real-time available power supply value of each electric field, and calculating the difference between the real-time available power supply value and the target power allocation results of each electric field to generate a power deviation value for each electric field; and performing segmented adjustment processing on the power supply parameters of each electric field based on the power deviation value to generate the adjusted power supply parameters for each electric field.

[0011] Optionally, during the execution of the power layer switching operation and adjustment of the power supply parameters of each electric field, abnormal monitoring data is acquired, and the electric field power level of each electric field and the power layer switching strategy are corrected based on the abnormal monitoring data. This includes: acquiring spark frequency data, current fluctuation data, and voltage fluctuation data of each electric field during the execution of the power layer switching operation and adjustment of the power supply parameters of each electric field, and generating an abnormal monitoring data sequence; performing abnormal identification processing based on the abnormal monitoring data sequence and preset abnormal criteria, and generating an abnormal type identifier and an abnormal electric field identifier; performing a downgrade processing on the electric field power level of the corresponding electric field based on the abnormal type identifier and the abnormal electric field identifier, and generating a corrected electric field power level; recalculating the target power allocation result based on the corrected electric field power level, and correcting the power layer switching strategy based on the recalculated target power allocation result; and using the corrected electric field power level and the corrected power layer switching strategy as the execution input for the next control cycle.

[0012] A second aspect of the present invention provides a hierarchical energy-saving control system for an electrostatic precipitator, the system comprising: a data acquisition unit, configured to acquire operating data of each electric field, calculate the dust removal efficiency and electric field power of each electric field based on the operating data, and calculate the marginal benefit value of each electric field based on the dust removal efficiency and electric field power; a power classification unit, configured to perform power classification processing on each electric field based on the marginal benefit value of each electric field, generate an electric field power level corresponding to each electric field, and generate a target power allocation result for each electric field based on the electric field power level; a strategy generation unit, configured to acquire operating status data of the power supply layer, and generate a power supply layer switching strategy based on the target power allocation result and the operating status data of the power supply layer; a switching execution unit, configured to execute a power supply layer switching operation based on the power supply layer switching strategy, and adjust the power supply parameters of each electric field based on the target power allocation result of each electric field; and a strategy update unit, configured to acquire abnormal monitoring data during the execution of the power supply layer switching operation and the adjustment of the power supply parameters of each electric field, and correct the electric field power level and the power supply layer switching strategy based on the abnormal monitoring data.

[0013] On the other hand, the present invention provides a computer-readable storage medium storing instructions that, when executed on a computer, cause the computer to perform the above-described layered and graded energy-saving control method for electrostatic precipitators.

[0014] Through the above technical solution, the present invention enables the power allocation of each electric field to be dynamically reconfigured under the constraint of overall efficiency, rather than being based on independent adjustment of a single electric field. At the same time, it generates a hierarchical switching strategy in combination with the power supply layer operation status to achieve matching adjustment between the power supply structure and the electric field demand structure. When anomaly monitoring is triggered, it backtracks and corrects the electric field power level and the power supply layer switching strategy to form a continuously adaptive collaborative control mechanism, thereby improving the power configuration imbalance between electric fields, enhancing the stability of high-voltage operation, and achieving synergistic optimization of dust removal efficiency and system energy efficiency.

[0015] Other features and advantages of the embodiments of the present invention will be described in detail in the following detailed description section. Attached Figure Description

[0016] The accompanying drawings are provided to further illustrate embodiments of the present invention and form part of the specification. They are used together with the following detailed description to explain the embodiments of the present invention, but do not constitute a limitation thereof. In the drawings:

[0017] Figure 1 This is a flowchart of the steps of a hierarchical energy-saving control method for an electrostatic precipitator provided in one embodiment of the present invention; Figure 2 This is a system structure diagram of a hierarchical energy-saving control system for an electrostatic precipitator provided in one embodiment of the present invention. Detailed Implementation

[0018] The specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are for illustration and explanation only and are not intended to limit the present invention.

[0019] Figure 1 This is a flowchart illustrating the steps of a hierarchical energy-saving control method for an electrostatic precipitator according to one embodiment of the present invention. Figure 1 As shown, an embodiment of the present invention provides a hierarchical energy-saving control method for electrostatic precipitators, the method comprising: Step S10: Obtain the operating data of each electric field, and calculate the dust removal efficiency and electric field power of each electric field based on the operating data, and calculate the marginal benefit value of each electric field based on the dust removal efficiency and electric field power of each electric field.

[0020] Specifically, the calculation of the dust removal efficiency and electric field power for each electric field based on the operational data, and the calculation of the marginal benefit value for each electric field based on the dust removal efficiency and electric field power, includes: acquiring the inlet dust concentration data and outlet dust concentration data for each electric field, and calculating the dust removal efficiency for each electric field based on the inlet dust concentration data and outlet dust concentration data; acquiring the secondary voltage data and secondary current data for each electric field, and calculating the electric field power for each electric field based on the secondary voltage data and secondary current data; calculating the change in dust removal efficiency and the change in electric field power for each electric field within a preset time window, and calculating the marginal benefit value for each electric field based on the change in dust removal efficiency and the change in electric field power.

[0021] Furthermore, within a preset time window, the changes in dust removal efficiency and electric field power for each corresponding electric field are calculated, and the marginal benefit value for each corresponding electric field is calculated based on the changes in dust removal efficiency and electric field power. This includes: performing sliding sampling on the dust removal efficiency of each corresponding electric field within the preset time window to generate a time series of dust removal efficiency for each corresponding electric field, and calculating the change in dust removal efficiency for each corresponding electric field based on the dust removal efficiency time series; performing sliding sampling on the electric field power of each corresponding electric field within the preset time window to generate a time series of electric field power for each corresponding electric field, and calculating the change in electric field power for each corresponding electric field based on the electric field power time series; constructing the marginal benefit ratio for each corresponding electric field based on the changes in dust removal efficiency and electric field power, and performing abnormal fluctuation removal processing on the marginal benefit ratio to generate the effective marginal benefit value for each corresponding electric field.

[0022] In this embodiment of the invention, the operating data of each electric field is collected in real time by the electrostatic precipitator control system. The operating data includes at least inlet dust concentration data, outlet dust concentration data, secondary voltage data, and secondary current data. The inlet and outlet dust concentration data can be directly obtained through an online dust concentration detection device, or they can be estimated based on the outlet concentration data of adjacent electric fields. Based on the inlet and outlet dust concentration data, the dust removal efficiency η of each corresponding electric field is calculated using the following formula:

[0023] in, Indicates the first Dust removal efficiency of an electric field Indicates the first Data on dust concentration at the inlet of each electric field. Indicates the first The dust concentration data at the outlet of each electric field. This calculation method can reflect the particulate matter capture capacity of each electric field under the current flue gas conditions.

[0024] The calculation of electric field power is based on the secondary voltage and secondary current data of each electric field. Calculate using the following formula:

[0025] in, Indicates the first The effective value of the secondary voltage of the electric field. Indicates the first The effective value of the secondary current in each electric field. In pulse or intermittent power supply modes, the average power within a preset time window can be used as the effective value. The value of is also an implementation method of the present invention.

[0026] To mitigate the impact of transient fluctuations on control decisions, within a preset time window... The dust removal efficiency and electric field power are sampled using a sliding method to form a time series. and The change in dust removal efficiency was calculated based on the time series. With change in electric field power , can be represented as:

[0027] in, Indicates the current sampling time. This indicates the previous sampling time. Further, a marginal benefit ratio is constructed based on the changes in dust removal efficiency and electric field power. Its expression is:

[0028] The It characterizes the level of change in dust removal efficiency caused by a change in unit power, and is used to measure the marginal contribution of power input in each electric field.

[0029] Considering potential disturbances such as spark discharge or sudden current changes during operation, the marginal benefit ratio is obtained. Then, abnormal fluctuation rejection is performed. Specifically, based on a preset current fluctuation threshold or spark frequency threshold, abnormal fluctuations within the corresponding time period can be filtered out. Data is filtered out to generate effective marginal benefit values. The effective marginal benefit value serves as input data for subsequent electric field power classification processing.

[0030] The above-described implementation quantifies the relationship between dust removal efficiency and power change into a calculable marginal benefit index, thus establishing electric field power regulation based on measurable and comparable physical quantities. Any technical solution that constructs a power utilization efficiency evaluation index based on changes in dust removal efficiency and power change falls within the protection scope of the technical concept described in this invention.

[0031] Step S20: Perform power classification processing on each electric field based on the marginal benefit value of each electric field to generate the electric field power level of each electric field, and generate the target power allocation result of each electric field based on the electric field power level of each electric field.

[0032] Specifically, power classification processing is performed on each electric field based on its marginal benefit value to generate the corresponding electric field power level. This includes: normalizing the marginal benefit value of each electric field to generate a standardized marginal benefit value for each electric field; sorting the electric fields based on their standardized marginal benefit values ​​to generate an electric field priority sequence; and dividing each electric field into its corresponding power level range based on the electric field priority sequence and a preset power classification threshold range to generate the corresponding electric field power level.

[0033] Furthermore, generating target power allocation results for each electric field based on its electric field power level includes: obtaining the total available power value for the current period, and constructing a power allocation weight sequence based on the total available power value and the electric field power level of each electric field; performing a proportional allocation calculation on the total available power value based on the power allocation weight sequence to generate an initial allocated power value for each electric field; obtaining the upper limit power value and the power adjustment range constraint value for each electric field, and performing constraint correction processing on the initial allocated power value based on the upper limit power value and the power adjustment range constraint value to generate target power allocation results for each electric field.

[0034] In this embodiment of the invention, the marginal benefit value of each electric field is used as the core evaluation quantity for power scheduling and enters the hierarchical processing stage. To eliminate the influence of dimensional differences and operating range differences between different electric fields on the ranking results, the marginal benefit value of each electric field is first normalized. Let the first electric field be... The effective marginal benefit of an electric field is Within the current control period, the maximum and minimum effective marginal benefits of all electric fields are respectively... and The corresponding standardized marginal benefit value It can be represented as:

[0035] After normalization, The range of values ​​is uniformly mapped to This facilitates comparison of the power utilization contribution levels of each electric field under the same evaluation scale. If the data after anomaly removal has a large degree of dispersion, quantile normalization or weighted smoothing normalization can also be used. The above equivalent processing is within the scope of the technical concept of this invention.

[0036] Based on the standardized marginal benefit values, each electric field is ranked to generate an electric field priority sequence. The priority sequence reflects the dust removal efficiency improvement capability per unit power input of each electric field under the current operating conditions. The ranking method can be descending order, placing electric fields with higher standardized marginal benefit values ​​at the top of the priority list. For a typical three-field electrostatic precipitator structure, if the first electric field exhibits a higher marginal benefit value due to higher dust concentration, its ranking position will be higher; if the efficiency improvement of the final electric field slows down under high-voltage operation, its ranking position will be relatively lower.

[0037] After obtaining the electric field priority sequence, each electric field is matched with a preset power classification threshold interval and divided into the corresponding power level interval, generating the electric field power level for each electric field. The power level can be set as several discrete levels, such as high, medium, and low levels, or it can be set as a multi-level subdivision interval. The power level division rules can be formed based on historical operating statistics, the core of which is to establish a mapping relationship between electric field power input and marginal contribution level, so that the electric field power level can reflect the input priority under the current operating conditions.

[0038] Based on this, the target power allocation result is generated according to the electric field power level of each electric field. First, the total available power value for the current control cycle is obtained. The total available power value is derived from the power supply capacity of the power system under current load and operating constraints. A power allocation weight sequence is constructed by combining the electric field power levels of each electric field, assuming the th... The weights corresponding to each electric field are: Then the initial power allocation value It can be represented as:

[0039] in This indicates the quantity of electric fields. The weight... This can be correlated with the power level of the electric field; for example, a higher level corresponds to a higher weight value. Through proportional allocation calculations, the total available power is initially allocated among the electric fields according to a marginal benefit orientation.

[0040] Considering the power upper limit and power adjustment range constraints for each electric field in actual operation, constraint correction processing is performed on the initial allocated power value. If If the power exceeds the upper limit of the corresponding electric field, it will be limited to the upper limit range; if the adjustment range compared with the current operating power exceeds the preset power adjustment range constraint value, the range will be limited according to the constraint value. The power value generated after constraint correction is the target power allocation result for each electric field.

[0041] The aforementioned hierarchical and allocation mechanism establishes electric field power dispatching based on marginal benefit evaluation, while simultaneously achieving coordination and unity between allocation ratios and operational constraints under total power constraints. Any control method that generates target power allocation results based on marginal benefit ranking and combined with power levels falls within the protection scope of the technical solution described in this invention.

[0042] Step S30: Obtain the operating status data of the power layer, and generate a power layer switching strategy based on the target power allocation result and the operating status data of the power layer.

[0043] Specifically, the system acquires the hierarchical capacity data, current power-on status data, and response time parameters of each power layer to generate a power layer state sequence; calculates the target total power supply value for the current period based on the target power allocation results of each electric field, and matches the target total power supply value with the power layer state sequence to generate a power layer capacity difference sequence; determines the power layer power-on or power-off order based on the power layer capacity difference sequence and the response time parameters to generate a power layer switching priority sequence; and generates a power layer switching strategy that includes a combination of switching time intervals and switching levels based on the power layer switching priority sequence.

[0044] In this embodiment of the invention, the power supply layer participates in hierarchical scheduling control as a structural unit of the electrostatic precipitator power supply system. The power supply layer can be composed of several sets of rectifier transformer units, power module units, or high-voltage power supply stages. Each power supply layer has corresponding hierarchical capacity data, current operational status data, and response time parameters. The hierarchical capacity data represents the maximum output power that the power supply layer can provide under current operating conditions; the current operational status data indicates whether the power supply layer is in operation; and the response time parameter reflects the stabilization time required for the power supply layer to perform operational or de-operational operations. These parameters can be collected in real time by the power supply control device and used to construct a power supply layer state sequence for subsequent matching calculations.

[0045] Based on the target power allocation results for each electric field, the target power of all electric fields is summarized, and the total target power supply value for the current period is calculated. The target total power supply value represents the power demand level required for the overall operation of the electrostatic precipitator within the current control cycle. The target total power supply value is matched with the power supply layer state sequence to obtain the power supply layer capacity difference sequence. Specifically, the first... The available capacity of each power layer is The total capacity of the power supply layer currently in operation is Then the capacity difference It can be represented as:

[0046] when When this occurs, it indicates that the existing capacity is insufficient and additional power layer investment is needed; when When this occurs, it indicates that there is redundancy in capacity, and some power layers need to be decommissioned.

[0047] After determining the capacity difference, the power layers are ranked based on their response time parameters and capacity data, forming a power layer switching priority sequence. The priority determination can consider a combination of factors, including power layer capacity and response time. For example, when the capacity difference is small, the power layer with smaller capacity and shorter response time is prioritized for switching to reduce power fluctuations; when the capacity difference is large, the power layer with larger capacity is prioritized for adjustment. This ranking logic aims to ensure the smoothness and matching of the power supply structure adjustment process.

[0048] Based on the power layer switching priority sequence, a power layer switching strategy is further generated, comprising switching time intervals and switching level combinations. The switching time interval controls the time interval between adjacent power layer switching operations, avoiding voltage surges caused by instantaneous concentrated switching; the switching level combination specifies the set of power layers that need to be put into or taken out within the current cycle. The generated power layer switching strategy serves as the control basis for subsequent power layer switching operations, achieving dynamic matching between the power supply structure and the target power demand of the electric field.

[0049] Through the above processing, the adjustment of the power supply layer is no longer based on a passive response to a single electric field demand, but on a structured scheduling based on the target power allocation result, so as to achieve a coordinated match between power supply capacity and load demand.

[0050] Step S40: Execute power layer switching operation based on the power layer switching strategy, and adjust the power supply parameters of each electric field based on the target power allocation results of each electric field.

[0051] Specifically, based on the power layer switching strategy, the corresponding power layers are sequentially put into operation or taken out of operation according to a preset switching time interval, generating an updated power layer put-in state sequence; after generating the updated power layer put-in state sequence, the real-time available power supply power value of each electric field is obtained, and the difference between the real-time available power supply power value and the target power allocation result of each electric field is calculated to generate the power deviation value of each electric field; based on the power deviation value, the power supply parameters of each electric field are segmented and adjusted to generate the adjusted power supply parameters of each electric field.

[0052] In this embodiment of the invention, the preset switching time interval can be set according to the power layer response time parameter to maintain a stable transition between two adjacent switching operations, avoiding spark discharge or current surge caused by instantaneous voltage jumps on the high-voltage side. After each power-on or power-off operation is completed, the power layer state is updated to form an updated power layer power-on state sequence. This sequence reflects the power layer structure actually participating in power supply within the current cycle and serves as the basis for subsequent adjustment of electric field power supply parameters.

[0053] After obtaining the updated power layer activation state sequence, the system calculates the real-time available power supply value for each electric field under the current power layer capacity structure. Let the first... The real-time available power supply for each electric field under the current structure is: The corresponding target power allocation result is Then the power deviation value It can be represented as:

[0054] The power deviation value reflects the degree of difference between the current power supply structure and the target power allocation. When, it indicates that the electric field still has room for power improvement; when When the actual power supplied by the electric field is higher than the target power allocation result, it needs to be appropriately reduced.

[0055] Based on the power deviation value, segmented adjustment processing is performed on the power supply parameters of each electric field. These power supply parameters may include secondary voltage setpoints, upper current limits, or pulse width parameters. Segmented adjustment processing divides the power deviation value into several intervals, corresponding to different adjustment ranges. For example, when the power deviation value is in a small deviation range, a fine-tuning operation is performed; when the power deviation value is in a large deviation range, a step-wise adjustment operation is performed. This segmented adjustment method ensures that the changes in power supply parameters match the degree of power deviation, avoiding instability in electric field operation caused by a single large adjustment.

[0056] After adjustment, the adjusted power supply parameters for each electric field are generated and sent to the corresponding power supply control unit for execution. The above process realizes the coordinated linkage between power layer structure adjustment and electric field parameter regulation, enabling the target power allocation result to gradually approach the actual power supply structure constraint.

[0057] Step S50: During the process of performing the power layer switching operation and adjusting the power supply parameters of each electric field, abnormal monitoring data is obtained, and the electric field power level of each electric field and the power layer switching strategy are corrected based on the abnormal monitoring data.

[0058] Specifically, during the execution of the power layer switching operation and the adjustment of the power supply parameters of each electric field, spark frequency data, current fluctuation data, and voltage fluctuation data of each electric field are acquired to generate an anomaly monitoring data sequence; based on the anomaly monitoring data sequence and preset anomaly criteria, anomaly identification processing is performed to generate an anomaly type identifier and an anomaly electric field identifier; based on the anomaly type identifier and the anomaly electric field identifier, the electric field power level of the corresponding electric field is downgraded to generate a corrected electric field power level; based on the corrected electric field power level, the target power allocation result is recalculated, and the power layer switching strategy is corrected based on the recalculated target power allocation result; the corrected electric field power level and the corrected power layer switching strategy are used as the execution input for the next control cycle.

[0059] In this embodiment of the invention, the power layer switching operation and the adjustment of electric field power supply parameters are dynamic execution processes, during which the operating status of each electric field is continuously monitored for anomalies. The anomaly monitoring data includes at least spark frequency data, current fluctuation data, and voltage fluctuation data. Spark frequency data can be obtained by the spark counting unit inside the high-voltage controller, while current and voltage fluctuation data can be obtained through real-time analysis of the sampled signals. To ensure data continuity, the above monitoring data is sampled according to the control cycle to construct an anomaly monitoring data sequence for subsequent anomaly identification and judgment.

[0060] Anomaly identification processing is performed based on the aforementioned anomaly monitoring data sequence and preset anomaly criteria. These preset anomaly criteria may include conditions such as spark frequency exceeding a preset threshold, instantaneous current fluctuation amplitude exceeding a preset proportion, and voltage drop amplitude exceeding a stable range. When the monitoring data meets the corresponding criteria, an anomaly type identifier and an abnormal electric field identifier are generated. The anomaly type identifier distinguishes different operating states such as spark anomalies, current anomalies, or voltage anomalies; the abnormal electric field identifier determines the specific electric field location where the anomaly occurs. This identification result provides a basis for subsequent power level correction.

[0061] After confirming the abnormal electric field, the power level of the corresponding electric field is downgraded. Let the original power level of the abnormal electric field be... After being downgraded, it was adjusted to ,in The degradation rule can be executed according to a preset level reduction strategy, or it can be dynamically modified based on the duration and amplitude of the anomaly. By reducing the electric field power level of the abnormal electric field, it receives a lower weight in subsequent power allocation, thereby reducing its power input level.

[0062] The target power allocation result is recalculated based on the corrected electric field power level. Let the updated target power allocation result be... The system recalculates the proportional allocation and constraint correction based on the new power level weights. Based on this, and in conjunction with the new target power allocation results, the power layer switching strategy is synchronously corrected, generating an updated power layer switching strategy. This strategy can adjust the switching sequence or reduce the activation of high-capacity power layers to alleviate voltage loads on abnormal power fields.

[0063] Finally, the corrected electric field power level and the corrected power layer switching strategy are used as the execution input for the next control cycle, integrating the abnormal response into the overall hierarchical control logic. By feeding back the abnormal handling results to the power level and hierarchical switching stages, adaptive correction of the control strategy is achieved, enabling the system to maintain structured regulation capabilities even under load fluctuations or partial discharge anomalies. Any control method that collaboratively corrects the power level and power layer switching strategy based on abnormal monitoring data falls within the scope of this invention.

[0064] In another possible implementation, after anomaly identification is completed, in addition to downgrading the electric field power level of the abnormal electric field, the dust removal efficiency value of the abnormal electric field in the control cycle prior to the occurrence of the anomaly is also recorded. With electric field power value After the anomaly is resolved, the dust removal efficiency change trend and current fluctuation amplitude during the recovery process are continuously monitored.

[0065] During the abnormal electric field recovery phase, a recovery capability assessment coefficient is constructed. This coefficient is calculated based on the dust removal efficiency growth rate and current stability index over several consecutive sampling periods after the anomaly is resolved. Only when the preset recovery judgment conditions are met is it permissible to progressively increase the electric field power level, and the power layer switching strategy be adjusted simultaneously. If the recovery capability assessment coefficient remains below the preset threshold, the degraded state is maintained and high-capacity operation of the corresponding power layer is restricted. By introducing a recovery capability assessment step after anomaly handling, the power level recovery process has verifiable evidence, avoiding the risk of secondary discharge caused by rapidly restoring high-power operation immediately after the anomaly is resolved.

[0066] In another possible implementation, after identifying an abnormal electric field, not only is the electric field power level downgraded, but the dust removal efficiency and electric field power variation trends of the upstream and downstream electric fields adjacent to the abnormal electric field are also obtained to construct the coupling influence coefficient between adjacent electric fields. , used to characterize the The electric field anomaly affects the first The degree of influence of the operating state of the electric field.

[0067] When an abnormal electric field is located in the upstream electric field, the system performs pre-adjustment processing on the electric field power level of the downstream electric field according to the coupling influence coefficient, appropriately increasing the power allocation weight of the downstream electric field to compensate for the dust load transfer caused by the decrease in efficiency of the upstream electric field. When an abnormal electric field is located in the downstream electric field, the power allocation of the upstream electric field is buffered and adjusted according to the coupling influence coefficient to prevent excessive increase in the downstream load. The corrected electric field power level is used to recalculate the target power allocation result and simultaneously correct the power layer switching strategy to keep the layered switching structure and the load transfer relationship between electric fields matched. By introducing an electric field coupling influence assessment mechanism, anomaly handling is not limited to a single electric field, but rather involves power structure reconstruction within the overall electric field collaborative framework, making it suitable for complex operating scenarios of multi-field series systems.

[0068] Figure 2 This is a system structure diagram of a hierarchical energy-saving control system for an electrostatic precipitator provided in one embodiment of the present invention. Figure 2 As shown, this invention provides a hierarchical energy-saving control system for an electrostatic precipitator. The system includes: a data acquisition unit, used to acquire operating data of each electric field, calculate the dust removal efficiency and electric field power of each electric field based on the operating data, and calculate the marginal benefit value of each electric field based on the dust removal efficiency and electric field power; a power classification unit, used to perform power classification processing on each electric field based on the marginal benefit value of each electric field, generate the electric field power level of each electric field, and generate the target power allocation result of each electric field based on the electric field power level; a strategy generation unit, used to acquire operating status data of the power layer, and generate a power layer switching strategy based on the target power allocation result and the operating status data of the power layer; a switching execution unit, used to execute power layer switching operations based on the power layer switching strategy, and adjust the power supply parameters of each electric field based on the target power allocation result of each electric field; and a strategy update unit, used to acquire abnormal monitoring data during the execution of the power layer switching operations and the adjustment of the power supply parameters of each electric field, and correct the electric field power level and the power layer switching strategy based on the abnormal monitoring data.

[0069] The present invention also provides a computer-readable storage medium storing instructions that, when executed on a computer, cause the computer to perform the above-described layered and graded energy-saving control method for electrostatic precipitators.

[0070] Those skilled in the art will understand that all or part of the steps in the methods of the above embodiments can be implemented by a program instructing related hardware. This program is stored in a storage medium and includes several instructions to cause a microcontroller, chip, or processor to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as a USB flash drive, a portable hard drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.

[0071] The optional embodiments of the present invention have been described in detail above with reference to the accompanying drawings. However, the embodiments of the present invention are not limited to the specific details described above. Within the scope of the technical concept of the embodiments of the present invention, various simple modifications can be made to the technical solutions of the embodiments of the present invention, and these simple modifications all fall within the protection scope of the embodiments of the present invention. It should also be noted that the various specific technical features described in the above specific embodiments can be combined in any suitable manner without contradiction. To avoid unnecessary repetition, the embodiments of the present invention will not further describe the various possible combinations.

[0072] Furthermore, various different embodiments of the present invention can be combined in any way, as long as they do not violate the spirit of the embodiments of the present invention, they should also be regarded as the content disclosed by the embodiments of the present invention.

Claims

1. A hierarchical and graded energy-saving control method for electrostatic precipitators, characterized in that, The method includes: The operation data of each electric field is obtained, and the dust removal efficiency and electric field power of each electric field are calculated based on the operation data. The marginal benefit value of each electric field is calculated based on the dust removal efficiency and electric field power of each electric field. Based on the marginal benefit value of each electric field, power classification processing is performed on each electric field to generate the electric field power level of each electric field, and the target power allocation result of each electric field is generated based on the electric field power level of each electric field. Acquire the operating status data of the power layer, and generate a power layer switching strategy based on the target power allocation result and the operating status data of the power layer; The power layer switching operation is performed based on the power layer switching strategy, and the power supply parameters of each electric field are adjusted based on the target power allocation results of each electric field. During the execution of the power layer switching operation and the adjustment of the power supply parameters of each electric field, abnormal monitoring data is acquired, and the electric field power level of each electric field and the power layer switching strategy are corrected based on the abnormal monitoring data.

2. The layered and graded energy-saving control method for electrostatic precipitators according to claim 1, characterized in that, Based on the aforementioned operational data, the dust removal efficiency and electric field power of each electric field are calculated. Based on the dust removal efficiency and electric field power of each electric field, the marginal benefit value of each electric field is calculated, including: Obtain the inlet dust concentration data and outlet dust concentration data for each electric field, and calculate the dust removal efficiency for each electric field based on the inlet dust concentration data and outlet dust concentration data. Obtain the secondary voltage data and secondary current data for each electric field, and calculate the electric field power for each electric field based on the secondary voltage data and the secondary current data. Within a preset time window, the changes in dust removal efficiency and electric field power for each corresponding electric field are calculated, and the marginal benefit value for each corresponding electric field is calculated based on the changes in dust removal efficiency and electric field power.

3. The layered and graded energy-saving control method for electrostatic precipitators according to claim 2, characterized in that, Within a preset time window, calculate the changes in dust removal efficiency and electric field power for each corresponding electric field, and calculate the marginal benefit value for each corresponding electric field based on the changes in dust removal efficiency and electric field power, including: Within a preset time window, sliding sampling is performed on the dust removal efficiency of each electric field to generate a time series of dust removal efficiency for each electric field, and the change in dust removal efficiency for each electric field is calculated based on the dust removal efficiency time series. Within the preset time window, the electric field power of each corresponding electric field is sampled by sliding to generate a time series of electric field power for each corresponding electric field, and the change in electric field power for each corresponding electric field is calculated based on the time series of electric field power. Based on the change in dust removal efficiency and the change in electric field power, the marginal benefit ratio of each electric field is constructed, and abnormal fluctuations are removed from the marginal benefit ratio to generate the effective marginal benefit value of each electric field.

4. The layered and graded energy-saving control method for electrostatic precipitators according to claim 1, characterized in that, Based on the marginal benefit value of each electric field, power classification is performed on each electric field to generate the corresponding electric field power level, including: The marginal benefit values ​​of each electric field are normalized to generate standardized marginal benefit values ​​for each electric field. A ranking process is performed based on the standardized marginal benefit values ​​of each electric field to generate an electric field priority sequence; Based on the electric field priority sequence and the preset power classification threshold range, each electric field is divided into the corresponding power level range, and the electric field power level of each electric field is generated.

5. The layered and graded energy-saving control method for electrostatic precipitators according to claim 4, characterized in that, The target power allocation results for each electric field are generated based on the electric field power level of each electric field, including: Obtain the total available power value for the current period, and construct a power allocation weight sequence based on the total available power value and the electric field power level of each electric field; Based on the power allocation weight sequence, a proportional allocation calculation is performed on the total available power value to generate the initial allocated power value for each electric field. Obtain the upper limit value of the power and the power adjustment range constraint value for each electric field, and perform constraint correction processing on the initial allocated power value based on the upper limit value of the power and the power adjustment range constraint value to generate the target power allocation result for each electric field.

6. The layered and graded energy-saving control method for electrostatic precipitators according to claim 1, characterized in that, Acquire the operating status data of the power layer, and generate a power layer switching strategy based on the target power allocation result and the operating status data of the power layer, including: Acquire the hierarchical capacity data, current operational status data, and response time parameters of each power layer, and generate a power layer status sequence; The target total power supply value for the current period is calculated based on the target power allocation results of each electric field, and the target total power supply value is matched with the power layer state sequence to generate a power layer capacity difference sequence. Based on the power layer capacity difference sequence and the response time parameter, the power layer activation or deactivation order is determined, and a power layer switching priority sequence is generated. Based on the power layer switching priority sequence, a power layer switching strategy is generated that includes a combination of switching time intervals and switching levels.

7. The layered and graded energy-saving control method for electrostatic precipitators according to claim 6, characterized in that, The power layer switching operation is performed based on the aforementioned power layer switching strategy, and the power supply parameters of each electric field are adjusted based on the target power allocation results of each electric field, including: Based on the power layer switching strategy, the corresponding power layer is sequentially put into operation or taken out operation according to the preset switching time interval, and an updated power layer put-in state sequence is generated. After generating the updated power layer input state sequence, the real-time available power supply value of each electric field is obtained, and the difference between the real-time available power supply value and the target power allocation result of each electric field is calculated to generate the power deviation value of each electric field. Based on the power deviation value, the power supply parameters of each corresponding electric field are adjusted in stages to generate the adjusted power supply parameters for each electric field.

8. The layered and graded energy-saving control method for electrostatic precipitators according to claim 7, characterized in that, During the execution of the power layer switching operation and adjustment of the power supply parameters of each electric field, abnormal monitoring data is acquired, and the electric field power level of each electric field and the power layer switching strategy are corrected based on the abnormal monitoring data, including: During the process of performing the power layer switching operation and adjusting the power supply parameters of each electric field, the spark frequency data, current fluctuation data and voltage fluctuation data of each electric field are acquired to generate an abnormal monitoring data sequence. Based on the anomaly monitoring data sequence and preset anomaly criteria, anomaly identification processing is performed to generate anomaly type identifier and anomaly electric field identifier. Based on the anomaly type identifier and the anomaly electric field identifier, the electric field power level of the corresponding electric field is downgraded to generate a corrected electric field power level. The target power allocation result is recalculated based on the corrected electric field power level, and the power layer switching strategy is corrected based on the recalculated target power allocation result. The modified electric field power level and the modified power layer switching strategy are used as the execution inputs for the next control cycle.

9. A hierarchical and graded energy-saving control system for an electrostatic precipitator, characterized in that, The system includes: The data acquisition unit is used to acquire the operating data of each electric field, and calculate the dust removal efficiency and electric field power of each electric field based on the operating data, and calculate the marginal benefit value of each electric field based on the dust removal efficiency and electric field power of each electric field. The power classification unit is used to perform power classification processing on each electric field based on the marginal benefit value of each electric field, generate the electric field power level of each electric field, and generate the target power allocation result of each electric field based on the electric field power level. The strategy generation unit is used to acquire the operating status data of the power layer and generate a power layer switching strategy based on the target power allocation result and the operating status data of the power layer. The switching execution unit is used to perform power layer switching operations based on the power layer switching strategy, and adjust the power supply parameters of each electric field based on the target power allocation results of each electric field. The strategy update unit is used to acquire abnormal monitoring data during the execution of the power layer switching operation and the adjustment of the power supply parameters of each electric field, and to correct the electric field power level of each electric field and the power layer switching strategy based on the abnormal monitoring data.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores instructions that, when executed on a computer, cause the computer to perform the layered and graded energy-saving control method for electrostatic precipitators as described in any one of claims 1-8.

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