A coupled power supply system and a power supply method

Abstract

The application discloses a coupling energy supply system and an energy supply method, and relates to the technical field of energy supply, in particular to a coupling energy supply system and an energy supply method. The coupling energy supply system comprises a process sensing component, an energy sensing component, a coupling control component and an execution component. The process sensing component comprises three monitoring sensors, three flow meters and three pump power monitoring units which are connected to UF membrane systems, NF membrane systems and RO membrane systems respectively, and is used for collecting TMP, TMP change rate, membrane water flux attenuation rate and concentrated liquid tank liquid level. The energy sensing component is configured to obtain energy side data of a garbage incineration power plant. The coupling control component is electrically connected with the three monitoring sensors, the three flow meters and the three pump power monitoring units, and is used for generating charging and discharging instructions. The execution component comprises an energy storage module and an executor, and the executor is electrically connected with the coupling control component and the energy storage module, and is used for receiving the charging and discharging instructions to control the charging and discharging power of the energy storage module. The application can effectively solve the problems of blind and lagging energy storage scheduling behavior.

Description

Technical Field

[0001] This invention relates to the field of waste incineration power generation technology, specifically to a coupled energy supply system and energy supply method. Background Technology

[0002] The core control logic of coupling the leachate treatment station of the waste incineration plant with the photovoltaic power generation unit and energy storage battery is to schedule the energy storage system to charge and discharge based on electrical side data such as the grid time-of-use price, the total load of the plant's electricity consumption, and the photovoltaic output forecast, in order to improve the self-consumption rate of green electricity and reduce the cost of electricity.

[0003] However, the coupling of leachate treatment stations in waste incineration plants with photovoltaic power generation units and energy storage batteries often presents the following problems: energy storage scheduling decisions are entirely based on electrical side parameters, without acquiring or utilizing any process operation data of the leachate treatment station's membrane system (UF / NF / RO). When the plant's power load changes, the controller cannot distinguish whether it is a normal production adjustment, an increase in energy consumption due to increased membrane fouling, or an impending membrane chemical cleaning shock, resulting in blind and lagging energy storage scheduling behavior. At the same time, since the leachate membrane system needs to be chemically cleaned regularly (every 7-15 days), the impact current at the moment the cleaning pump starts can reach 5-7 times the rated current, causing a severe impact on the plant's power bus. Relying solely on the real-time response of the electrical side of the energy storage system lacks the "pre-scheduling" capability based on the process status, resulting in limited and unreliable mitigation effects.

[0004] Therefore, there is an urgent need for a coupled energy supply system and method that can solve the problem that energy storage scheduling behavior is blind and lagging due to the fact that the energy storage scheduling decision is based entirely on electrical side parameters in the existing technology. Summary of the Invention

[0005] The purpose of this invention is to overcome the above-mentioned technical deficiencies and propose a coupled energy supply system and energy supply method to solve the technical problem in the prior art that the energy storage scheduling decision is based entirely on electrical side parameters, resulting in blind and lagging energy storage scheduling behavior.

[0006] To achieve the above-mentioned technical objectives, the present invention adopts the following technical solution: In a first aspect, the present invention provides a coupled power supply system configured to be connected to a leachate membrane separation and treatment system, the leachate membrane separation and treatment system including a UF membrane system, an NF membrane system, and an RO membrane system, comprising: The process sensing component includes three monitoring sensors, three flow meters, and three pump power monitoring units connected to the UF membrane system, NF membrane system, and RO membrane system, respectively, for collecting TMP, TMP change rate, membrane permeate flux decay rate, and concentrate storage tank level, respectively. Energy sensing components are configured to acquire energy-side data from waste-to-energy plants. A coupling control component, electrically connected to the three monitoring sensors, the three flow meters, and the three pump power monitoring units, is used to generate charge and discharge commands; and An execution component includes an energy storage module and an actuator. The actuator is electrically connected to both the coupling control component and the energy storage module and is used to receive charging and discharging commands generated by the coupling control component to control the charging and discharging power of the energy storage module.

[0007] In some embodiments, the coupling control component includes a membrane fouling stage identification module, a process event prediction module, a multi-mode scheduling strategy library, and a SOC dynamic adjustment module. The membrane fouling stage identification module is used to divide the degree of membrane fouling into normal period, slow rise period, acceleration period, and critical period based on the current value and rate of change of TMP. The process event prediction module can calculate the estimated remaining time until the next chemical cleaning based on the cumulative rise curve of TMP and the preset cleaning threshold TMPclean. The process event prediction module can predict the occurrence time of the high level warning event of concentrate based on the rise rate of the concentrate storage tank level. The SOC dynamic adjustment module can dynamically adjust the lower limit value of SOC of the energy storage module based on the prediction results of the process event prediction module.

[0008] In some embodiments, the TMP has a first threshold, a second threshold, and a third threshold, and the TMP change rate has a first change rate threshold and a second change rate threshold. When the TMP is lower than the first threshold and the TMP change rate is lower than the first change rate threshold, the membrane fouling degree is the normal period. When the TMP is between the first threshold and the second threshold, the membrane fouling degree is the slow-rise period. When the TMP is between the second threshold and the third threshold, and the TMP change rate is higher than the second change rate threshold, the membrane fouling degree is the accelerated period. When the TMP is higher than the third threshold and the estimated remaining time until the next chemical cleaning, calculated based on the average of the current TMP and the TMP change rate, is less than a first preset time.

[0009] In some embodiments, the first threshold is 1.2 to 1.8 bar, the second threshold is 2.0 to 2.5 bar, the third threshold is 2.6 to 2.9 bar, and the chemical cleaning threshold is 3.0 to 3.2 bar.

[0010] In some embodiments, the multi-mode scheduling strategy library includes at least a membrane cleaning shock suppression mode, a TMP ramp-up compensation mode, and a concentrate back-spraying coordination mode. In the membrane cleaning shock suppression mode, when a cleaning pump start signal is received, the energy storage module is controlled to discharge at a power not lower than a preset power within a preset time window.

[0011] In some embodiments, in the TMP ramp compensation mode, the operating flux of the membrane high-pressure pump is increased to 105% to 120% of the rated flux, and the operating flux of the membrane high-pressure pump is decreased to 80% to 95% of the rated flux.

[0012] In some embodiments, the concentrate back-spraying coordinated mode further includes: when the furnace temperature is higher than a first furnace temperature threshold and the concentrate storage tank level is higher than a preset level, starting the concentrate back-spraying pump for back-spraying.

[0013] Secondly, the present invention also provides a coupling power supply method, which uses the coupling power supply system described in any of the above claims, and the specific steps are as follows; Actual process status data of the membrane system in the leachate treatment plant were collected. Based on process status data, the current stage of membrane fouling is identified, and process events within a preset time period are predicted according to the cumulative rise curve of TMP and the preset chemical cleaning threshold. Real-time acquisition of energy-side data from waste-to-energy plants, including at least the plant's self-generated power, total plant power load, photovoltaic power generation, current state of charge (SOC) of energy storage modules, real-time grid electricity price signal, and real-time furnace temperature signal of the incinerator. Based on process status data and energy-side data, a multi-mode scheduling process is executed; Energy storage charging and discharging commands are generated and executed according to the scheduling process, and the execution of all charging and discharging commands must meet the process safety constraints of the membrane system.

[0014] In some embodiments, the process safety constraints include dynamic adjustment of the lower limit of SOC under process safety constraints. When a membrane chemical cleaning event is predicted to occur within a preset time in the future, the lower limit of energy storage SOC is temporarily raised from the normal value to the first safety lower limit value. After the membrane chemical cleaning event ends, it is restored to the normal value. When a high concentration warning event is predicted and the furnace temperature of the incinerator is lower than the minimum furnace temperature threshold required for re-injection, the lower limit of the energy storage SOC will be temporarily raised from the normal value to the second safety lower limit value. After the concentrate re-injection is completed, it will be restored to the normal value.

[0015] In some embodiments, when multiple scheduling modes are triggered simultaneously, the execution priority of the membrane cleaning shock suppression mode is greater than that of the concentrate back spraying coordination mode, which is greater than that of the TMP ramp-up compensation mode.

[0016] Compared with existing technologies, the beneficial effects of the coupled energy supply system and method provided by this invention include: three monitoring sensors, three flow meters, and three pump power monitoring units are respectively connected to the UF membrane system, NF membrane system, and RO membrane system to collect TMP, TMP change rate, membrane permeate flux decay rate, and concentrate storage tank level; the energy sensing component is used to acquire energy-side data from the waste incineration power plant; the coupling control component is electrically connected to the process sensing component to generate charge and discharge commands; and the actuator is electrically connected to both the coupling control component and the energy storage module to receive the charge and discharge commands generated by the coupling control component to control the charge and discharge power of the energy storage module. Compared with existing technologies, this invention can not only collect and utilize electrical-side parameters but also acquire and utilize process operation data from the UF membrane system, NF membrane system, and RO membrane system, and generate charge and discharge commands to control the charge and discharge power of the energy storage module. This enables timely and accurate response to energy storage scheduling behavior and solves the technical problem in existing technologies where energy storage scheduling decisions are entirely based on electrical-side parameters, resulting in blind and lagging energy storage scheduling behavior. Attached Figure Description

[0017] Figure 1 This is a schematic diagram of a coupled power supply system provided in an embodiment of the present invention; Figure 2 This is a schematic flowchart of a coupling power supply method provided in an embodiment of the present invention; Figure 3 This is a control logic flowchart of a membrane cleaning impact mitigation mode provided in an embodiment of the present invention; Figure 4 This is a control logic flowchart of the TMP ramp compensation mode provided in an embodiment of the present invention; Figure 5 This is a control logic flowchart of the concentrated liquid back-spraying collaborative mode provided in an embodiment of the present invention.

[0018] Explanation of reference numerals in the attached figures: Process sensing component 100; monitoring sensor 110; flow meter 120; pump power monitoring unit 130; energy sensing component 200; coupling control component 300; membrane fouling stage identification module 310; process event prediction module 320; multi-mode scheduling strategy library 330; SOC dynamic adjustment module 340; scheduling decision module 350; execution component 400; energy storage module 410; actuator 420. Detailed Implementation

[0019] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.

[0020] To address the technical problem that energy storage scheduling decisions are based entirely on electrical side parameters, resulting in blind and lagging energy storage scheduling behavior, this invention provides a coupled energy supply system and method. This system can not only collect and utilize electrical side parameters, but also acquire and utilize process operation data from the UF membrane system, NF membrane system, and RO membrane system, and generate charge and discharge commands to control the charge and discharge power of the energy storage module 410, thereby enabling timely and accurate response to energy storage scheduling behavior.

[0021] Please see Figure 1 , Figure 1 This is a schematic diagram of a coupled energy supply system and method according to an embodiment of the present invention. The coupled energy supply system is configured to be connected to a leachate membrane separation treatment system. The leachate membrane separation treatment system includes a UF membrane system, an NF membrane system, and an RO membrane system. It includes: a process sensing component 100, an energy sensing component 200, a coupled control component 300, and an execution component 400. The process sensing component 100 includes three monitoring sensors 110, three flow meters 120, and three pump power monitoring units 130 respectively connected to the UF membrane system, NF membrane system, and RO membrane system, for collecting TMP, T... MP change rate, membrane permeate flux decay rate, and concentrate storage tank level; the energy sensing component 200 is configured to acquire energy-side data from the waste-to-energy plant; the coupling control component 300 is electrically connected to three monitoring sensors 110, three flow meters 120, and three pump power monitoring units 130 to generate charge and discharge commands; the execution component 400 includes an energy storage module 410 and an actuator 420, which is electrically connected to both the coupling control component 300 and the energy storage module 410 to receive the charge and discharge commands generated by the coupling control component 300 to control the charge and discharge power of the energy storage module 410.

[0022] Compared with existing technologies, this device can not only collect and utilize electrical side parameters, but also acquire and utilize process operation data of UF membrane system, NF membrane system and RO membrane system respectively, and generate charge and discharge commands to control the charge and discharge power of energy storage module 410. It can realize timely and accurate response to energy storage scheduling behavior, and solve the technical problem in existing technologies where energy storage scheduling decisions are based entirely on electrical side parameters, resulting in blind and lagging energy storage scheduling behavior.

[0023] Furthermore, the energy storage module 410 here includes a photovoltaic power generation unit and an energy storage battery. The core control logic of the waste incineration plant leachate treatment station coupled with the energy storage module 410 is as follows: based on electrical side data such as grid time-of-use electricity price, total plant power load, and photovoltaic output prediction, the energy storage module 410 is scheduled to charge and discharge, aiming to improve the self-consumption rate of green electricity and reduce electricity costs.

[0024] Furthermore, leachate treatment process control and plant-level energy management are generally considered to be two independent technical branches. The core objective of process control is to ensure that the effluent quality meets the standards and to extend the membrane life. Industry operating standards generally require the membrane system to operate stably near the rated flux and strictly prohibit frequent flux adjustments. On the other hand, the core objective of energy management is to minimize energy costs. At the same time, those skilled in the art generally believe that coupling the two, especially adjusting the membrane operating flux according to the process status, will aggravate membrane fouling and affect the stability of effluent quality. Therefore, there is a lack of motivation to deeply couple the two systems.

[0025] Furthermore, the coupled power supply system may face the following operational risks: First, the impact load of membrane cleaning causes excessive voltage fluctuations on the plant power bus (often exceeding ±8%), resulting in the damage of 3 to 5 sensitive electrical devices such as frequency converters and PLCs annually; Second, the unpredictable rise in membrane fouling energy consumption leads to a persistently high peak electricity consumption ratio, with an average annual electricity cost loss of over 100,000 yuan for a single 400m³ / d treatment plant; Third, when the furnace temperature is insufficient, the concentrated liquid is forced to be re-sprayed, causing significant fluctuations in furnace temperature and excessive emissions of flue gas pollutants, with the auxiliary burner starting and stopping more than 120 times annually, increasing the risk of unplanned shutdowns.

[0026] In addition, in some implementations, the leachate membrane separation treatment system includes UF membrane system, NF membrane system and RO membrane system; UF membrane system, or ultrafiltration, is used for solid-liquid separation and retention of large molecular organic matter / colloids; NF membrane system, or nanofiltration, is used for further decolorization / hardening / COD reduction, but allows monovalent salts to pass through; RO membrane system, or reverse osmosis, is used to allow almost only water molecules to pass through, producing high-quality fresh water; UF membrane system, NF membrane system and RO membrane system are all conventional settings known to those skilled in the art, and will not be described in detail here.

[0027] In some embodiments, TMP refers to the transmembrane pressure difference, which is the pressure difference between the feed water side and the product water side of the membrane, measured in bar, and is a core indicator characterizing the degree of membrane fouling; TMP change rate refers to the change in TMP per unit time, with a sampling period of 1 minute, and the calculated value is the moving average of the most recent 20 sampling periods, measured in bar / h; membrane flux refers to the amount of product water produced per unit membrane area per unit time, measured in L / (m²·h); process events refer to future process actions or state transitions predicted based on real-time process status, including membrane chemical cleaning start-up events, TMP acceleration rise events, and concentrate high level warning events.

[0028] In addition, in some embodiments, the energy sensing component 200 is used to acquire energy-side data of the waste incineration power plant in real time. The energy-side data includes at least the plant's self-generated power, total plant power load, photovoltaic power generation, state of charge (SOC) of the energy storage module, real-time grid electricity price signal, and real-time furnace temperature signal of the incinerator. These are conventional settings known to those skilled in the art and will not be described in detail here.

[0029] Furthermore, in this embodiment, the monitoring sensor 110 is used to realize online monitoring of TMP, the flow meter 120 is used to realize the detection of membrane permeate flow rate, and the pump power monitoring unit 130 is used to realize high-pressure pump power monitoring. The monitoring sensor 110, the flow meter 120 and the pump power monitoring unit 130 are all conventional settings known to those skilled in the art, and will not be described in detail here.

[0030] In some embodiments, the energy sensing components include a DCS system data interface, a photovoltaic power generation monitoring device, and a battery management system (BMS) / storage SOC. These are conventional configurations known to those skilled in the art and will not be described in detail here.

[0031] In this embodiment, as Figure 1 As shown, the coupling control component 300 includes a membrane fouling stage identification module 310, a process event prediction module 320, a multi-mode scheduling strategy library 330, and a SOC dynamic adjustment module 340. The membrane fouling stage identification module 310 is used to divide the membrane fouling degree into normal period, slow rise period, acceleration period, and critical period based on the current value and rate of change of TMP. The process event prediction module 320 can calculate the estimated remaining time until the next chemical cleaning based on the cumulative rise curve of TMP and the preset cleaning threshold TMPclean. The process event prediction module 320 can predict the occurrence time of the high level warning event of concentrate based on the rise rate of the concentrate storage tank level. The SOC dynamic adjustment module 340 can dynamically adjust the lower limit value of SOC of the energy storage module 410 based on the prediction results of the process event prediction module 320.

[0032] The coupling control component 300 forms a communication connection with the process sensing component 100 and the energy sensing component 200 respectively. The coupling control component 300 has a built-in membrane fouling stage identification module 310, a process event prediction module 320, a multi-mode scheduling strategy library 330 and a SOC dynamic adjustment module 340.

[0033] Among them, the membrane fouling stage identification module 310 is used to classify the membrane fouling stage based on the current TMP value and the TMP change rate; the process event prediction module 320 is used to predict future process events based on the TMP cumulative rise curve and the preset chemical cleaning threshold; and the SOC dynamic adjustment module 340 is used to dynamically adjust the SOC lower limit value of the energy storage module 410 according to the prediction results of the process event prediction module 320.

[0034] In some embodiments, the coupling control component 300 also includes a scheduling decision module 350. The scheduling decision module 350 is used to perform scheduling according to a preset priority when multiple scheduling modes are triggered simultaneously and energy is insufficient. The preset priority is: the priority of the membrane cleaning shock suppression mode is greater than the priority of the concentrate back spraying synergistic mode, which is greater than the priority of the TMP ramp-up compensation mode.

[0035] Furthermore, the multi-mode scheduling strategy library 330 is used to execute the following scheduling: when the process event prediction module 320 predicts the membrane chemical cleaning start-up event and the energy storage SOC is higher than the first preset lower limit, the membrane cleaning shock easing mode is triggered, and an energy storage discharge command is generated; when the TMP change rate exceeds the preset ramp-up threshold and the current period is a grid electricity price valley or a period of surplus photovoltaic power generation, the TMP ramp-up compensation mode is triggered, and an command to adjust the membrane flux and energy storage charging and discharging is generated; when the concentrate storage tank level is higher than the preset high-level warning value and the incinerator furnace temperature is lower than the preset minimum furnace temperature threshold, the concentrate back-spray coordination mode is triggered, and a command to temporarily suspend back-spray and energy storage buffer is generated.

[0036] In this embodiment, TMP has a first threshold T1, a second threshold T2, and a third threshold T3, and the TMP change rate has a first change rate threshold and a second change rate threshold. When TMP is lower than the first threshold T1 and the TMP change rate is lower than the first change rate threshold, the membrane fouling degree is in the normal period. When TMP is between the first threshold T1 and the second threshold T2, the membrane fouling degree is in the slow-rising period. When TMP is between the second threshold T2 and the third threshold T3, and the TMP change rate is higher than the second change rate threshold, the membrane fouling degree is in the accelerated period. When TMP is higher than the third threshold T3 and the estimated remaining time until the next chemical cleaning, calculated by extrapolating the average of the current TMP and the TMP change rate, is less than the first preset time.

[0037] Among them, the first threshold T1, the second threshold T2, and the third threshold T3 are dynamically updated values; the method also includes: after each membrane chemical cleaning cycle is completed, the complete TMP curve is collected and the stages are re-divided based on the clustering algorithm, and the thresholds of each stage are dynamically updated using the moving average.

[0038] By setting a first threshold T1, a second threshold T2, and a third threshold T3, the membrane fouling stage can be accurately divided.

[0039] In one embodiment, the first threshold T1 is 1.2 to 1.8 bar, the second threshold T2 is 2.0 to 2.5 bar, the third threshold T3 is 2.6 to 2.9 bar, and the chemical cleaning threshold is 3.0 to 3.2 bar.

[0040] Furthermore, the membrane system here is a nanofiltration or reverse osmosis membrane.

[0041] In one embodiment, the multi-mode scheduling strategy library 330 includes at least a membrane cleaning shock suppression mode, a TMP ramp-up compensation mode, and a concentrate back-spray coordination mode. In the membrane cleaning shock suppression mode, when a cleaning pump start signal is received, the energy storage module 410 is controlled to discharge at a power not lower than a preset power within a preset time window.

[0042] In one embodiment, in the TMP ramp compensation mode, the operating flux of the membrane high-pressure pump is increased to 105% to 120% of the rated flux, and the operating flux of the membrane high-pressure pump is decreased to 80% to 95% of the rated flux.

[0043] In one embodiment, the concentrate back-spraying coordinated mode further includes: when the furnace temperature is higher than the first furnace temperature threshold and the concentrate storage tank level is higher than the preset level, starting the concentrate back-spraying pump for back-spraying.

[0044] This embodiment also provides a coupled power supply method, which utilizes a coupled power supply system, and the specific steps are as follows; Actual process status data of the membrane system in the leachate treatment plant were collected. Based on process status data, the current stage of membrane fouling is identified, and process events within a preset time period are predicted according to the cumulative rise curve of TMP and the preset chemical cleaning threshold. Real-time acquisition of energy-side data from waste-to-energy plants, including at least the plant's self-generated power, total plant power load, photovoltaic power generation, current state of charge (SOC) of energy storage module 410, real-time grid electricity price signal, and real-time furnace temperature signal of incinerator. Based on process status data and energy-side data, a multi-mode scheduling process is executed; Energy storage charging and discharging commands are generated and executed according to the scheduling process, and the execution of all charging and discharging commands must meet the process safety constraints of the membrane system.

[0045] In the specific implementation steps: S1: Real-time acquisition of process status data of the membrane system of the leachate treatment station. The process status data includes at least the transmembrane pressure difference TMP, the TMP change rate, and the liquid level of the concentrate storage tank. S2: Based on process status data, identify the current stage of membrane fouling, and predict process events within a preset time period based on the cumulative rise curve of TMP and the preset chemical cleaning threshold. Process events include at least membrane chemical cleaning start-up events, TMP accelerated rise events, and concentrate high level warning events. S3: Real-time acquisition of energy-side data from waste-to-energy plants. Energy-side data includes at least the plant's self-generated power, total plant power load, photovoltaic power generation, current state of charge (SOC) of energy storage module 410, real-time grid electricity price signal, and real-time furnace temperature signal of incinerator. S4: Based on the results of steps S2 and S3, a multi-mode scheduling process is executed. The multi-mode scheduling process includes: when a membrane chemical cleaning start-up event is predicted and the energy storage SOC is higher than the first preset lower limit, a membrane cleaning shock mitigation mode is triggered, controlling the energy storage module 410 to discharge when the cleaning pump starts to mitigate the power surge; when the TMP change rate exceeds the preset ramp-up threshold, and the current period is a grid price valley or a period of surplus photovoltaic power generation, a TMP ramp-up compensation mode is triggered, controlling the energy storage module 410 to discharge to increase the operating flux of the membrane high-pressure pump, and reducing the operating flux of the membrane high-pressure pump during grid price peak periods to achieve peak-valley shift of electricity load; when the concentrate storage tank level is higher than the preset high-level warning value and the incinerator furnace temperature is lower than the preset minimum furnace temperature threshold, a concentrate re-spraying coordination mode is triggered, temporarily suspending concentrate re-spraying, and using the energy storage module 410 to provide energy buffer; and when multiple modes are triggered simultaneously and energy is insufficient, they are executed according to the preset priority, and the SOC lower limit of the energy storage module 410 is dynamically adjusted to meet process safety requirements; S5: Generate and execute energy storage charging and discharging commands according to the scheduling process; the execution of all charging and discharging commands must meet the membrane system process safety constraints: the membrane flux adjustment range shall not be lower than 80% of the rated flux and shall not be higher than 120% of the rated flux.

[0046] Furthermore, in some embodiments, the estimated remaining time until the next chemical cleaning in step S2 is calculated using a linear extrapolation model: T remain = (TMP clean -TMP current ) / (ΔTMP / Δt)avg Among them, TMP clean TMP is set to the preset chemical cleaning trigger threshold. current is the current value of TMP, and (ΔTMP / Δt)avg is the average rate of change of TMP over the most recent preset time period.

[0047] In one embodiment, the process safety constraint includes dynamic adjustment of the lower limit of SOC under the process safety constraint. When a membrane chemical cleaning event is predicted to occur within a preset time in the future, the lower limit of energy storage SOC is temporarily raised from the normal value to the first safety lower limit value. After the membrane chemical cleaning event ends, it is restored to the normal value.

[0048] When a high concentration warning event is predicted and the furnace temperature of the incinerator is lower than the minimum furnace temperature threshold required for re-injection, the lower limit of the energy storage SOC will be temporarily raised from the normal value to the second safety lower limit value. After the concentrate re-injection is completed, it will be restored to the normal value.

[0049] In one embodiment, when multiple scheduling modes are triggered simultaneously, the execution priority of the membrane cleaning shock suppression mode is greater than that of the concentrate back spraying coordination mode, which is greater than that of the TMP ramp-up compensation mode.

[0050] In some embodiments, the coupling function method also includes an abnormal operating condition handling step: when the predicted deviation of the membrane chemical cleaning start-up time exceeds a preset duration, the discharge standby state is automatically terminated, and power stabilization is triggered immediately after receiving a real-time signal for the cleaning pump to start; when the sudden drop in photovoltaic power generation exceeds a preset threshold, the TMP ramp-up compensation mode is suspended, and the energy demand of the membrane cleaning shock stabilization mode and the concentrate re-spraying synergistic mode is prioritized.

[0051] In addition, in some embodiments, the abnormal operating condition handling mechanism includes the following: First, prediction deviation handling: if the prediction deviation of the cleaning start time exceeds 10 minutes, the system automatically terminates the discharge and stands by, and immediately performs the smoothing after the actual signal is triggered; Second, photovoltaic output drop handling: when the photovoltaic output drops by more than 50%, priority is given to ensuring mode A and C, and mode B is suspended, and restarted after the output recovers; Third, water quality anomaly handling: when the product water quality exceeds the threshold, all flux adjustment strategies are immediately terminated, the rated flux operation is restored, and priority is given to ensuring that the process effluent meets the standards; Fourth, safety fallback handling for insufficient energy storage SOC: when it is predicted that a high-priority mode (membrane cleaning shock smoothing mode / concentrate re-spraying collaborative mode) will be triggered, but the energy storage SOC is lower than the safety lower limit of the corresponding mode, the system immediately sends a warning signal to the operator, and at the same time suspends non-safety scheduling strategies such as TMP ramp compensation mode, restricts the power consumption of non-core production loads, and purchases electricity from the grid to supplement the energy storage SOC when necessary, to ensure that the energy storage has sufficient discharge capacity to execute the safety protection strategy when a critical process event occurs.

[0052] Example 1 This system will be deployed in a waste-to-energy incineration plant that processes 1,000 tons of waste per day and has a leachate treatment station with a capacity of 400 m³ / d.

[0053] Parameter tuning basis: The core thresholds in this embodiment are determined based on the rated parameters of the Dow BW30-400 reverse osmosis membrane used in the project and statistical analysis of historical operating data for 6 months after commissioning. Specifically: T1 = 1.5 bar (average value during the stabilization period), T2 = 2.2 bar (inflection point of accelerated fouling), T3 = 2.8 bar (near the cleaning point), TMP clean =3.0 bar (manufacturer's recommended cleaning value).

[0054] System deployment: Each sensor samples once per minute. The coupling controller 300 is deployed on the edge computing server and communicates with the PCS via the IEC 61850 protocol.

[0055] Example 2 During a cleaning cycle, TMP rose to 2.8 bar, with a predicted remaining time of 45 minutes and a SOC of 62%, activating the membrane cleaning shock mitigation mode. Energy storage was on standby 30 minutes in advance, and the cleaning pump discharged at 85kW upon startup. Results: Shock power decreased from 165kW to 72kW (a reduction of 56.4%), and voltage fluctuation narrowed from ±8% to ±3%.

[0056] Furthermore, the membrane cleaning shock mitigation mode here is as follows: when the predicted time from cleaning start time is less than a second preset time (e.g., 30 minutes) and the SOC is higher than a preset lower limit (e.g., 40%), the energy storage module 410 enters a discharge standby state; within a preset time window (e.g., 3 seconds) after receiving the cleaning pump start signal, it discharges at a preset power to mitigate the power impact.

[0057] Example 3 During continuous operation, the TMP change rate exceeded 0.12 bar / h. The system triggered the TMP ramp-up compensation mode during off-peak hours (22:00–6:00), supporting the high-pressure pump to operate at 115% flux. During peak hours (8:00–12:00), the flux was reduced to 85%. Results: 23.5% of the peak electricity consumption of the membrane high-pressure pump was diverted to off-peak hours, resulting in annual electricity cost savings of 112,000 yuan.

[0058] Furthermore, the TMP ramp-up compensation mode here is as follows: when the TMP change rate exceeds the preset ramp-up threshold (e.g., 0.12 bar / h) and it is during the grid electricity price valley or photovoltaic surplus period, the energy storage module 410 discharges and supports the membrane high-voltage pump to operate at a higher than the rated flux (e.g., 115%); during the electricity price peak period, the membrane high-voltage pump frequency is reduced (e.g., reduced to 85% of the rated flux) to achieve load peak-valley transfer.

[0059] Example 4 At 15:30 one day, the liquid level reached the 85% high-level warning level, but the furnace temperature was only 820℃ (below the safety threshold of 850℃). The concentrate re-injection coordinated mode was triggered, temporarily suspending re-injection, and the SOC lower limit was temporarily raised to 35%, with the energy storage module 410 providing a buffer. Two hours later, the furnace temperature rose to 870℃, and re-injection was initiated. Results: The furnace temperature matching rate improved from 68% to 91%, and the number of auxiliary burner start-ups and shutdowns decreased by 42%.

[0060] Furthermore, the concentrated liquid re-spraying coordinated mode here is as follows: when the furnace temperature is higher than the first furnace temperature threshold (e.g., ≥850℃) and the liquid level is higher than the preset value (e.g., 70%), the re-spraying is started; when the furnace temperature is lower than the second furnace temperature threshold (e.g., <830℃) and the liquid level is higher than the warning value (e.g., 85%), the re-spraying is temporarily suspended, and the energy storage module 410 provides a buffer.

[0061] Example 5 To improve adaptability, the system collects the complete TMP curve after each cleaning cycle, divides it into four stages using the K-means clustering algorithm, calculates the upper and lower limits of each interval, and dynamically updates the first threshold T1, the second threshold T2, and the third threshold T3 using the moving average of three consecutive cycles.

[0062] Example 6 The multi-mode scheduling strategy library 330 adopts a reinforcement learning model.

[0063] The model uses TMP change rate, SOC, electricity price, and furnace temperature as states, charging and discharging power and membrane flux adjustment amplitude as actions, and electricity cost and impact amplitude as negative rewards. Through offline training and online fine-tuning, the strategy is continuously optimized.

[0064] Comparative Example 1 The energy storage dispatch control logic adopts a conventional scheme (dispatching energy storage based solely on electrical side parameters). The comparison results are as follows:

[0065] To better understand this invention, the following is combined with... Figures 1 to 5 The technical solution of the present invention will be described in detail below: Three monitoring sensors 110, three flow meters 120, and three pump power monitoring units 130 are connected to the UF membrane system, NF membrane system, and RO membrane system, respectively, to collect TMP, TMP change rate, membrane permeate flux decay rate, and concentrate storage tank level. An energy sensing component 200 acquires energy-side data from the waste-to-energy plant. A coupling control component 300 is electrically connected to the process sensing component 100 and generates charge / discharge commands. An actuator 420 is electrically connected to both the coupling control component 300 and the energy storage module 410, receiving the charge / discharge commands generated by the coupling control component 300 to control the charge / discharge power of the energy storage module 410. Compared to existing technologies, this approach not only collects and utilizes electrical-side parameters but also acquires and utilizes process operation data from the UF membrane system, NF membrane system, and RO membrane system, and generates charge / discharge commands to control the charge / discharge power of the energy storage module 410, enabling timely and accurate responses to energy storage scheduling.

[0066] Furthermore, this application can collect process status data such as transmembrane pressure difference (TMP), TMP change rate, and concentrate storage tank level in real time, identify membrane fouling stages and predict process events such as membrane chemical cleaning, and select the corresponding energy storage scheduling mode from the multi-mode scheduling strategy library 330 in combination with the plant's energy side data to control the energy storage system to execute charging and discharging commands.

[0067] Furthermore, this application uses the process state variables of the membrane system as the direct decision-making basis for energy storage scheduling, breaking through the technical bottleneck of the separation between energy storage scheduling and process control in the existing technology. It can effectively mitigate the impact of membrane cleaning, realize the peak-valley transfer of electricity load, and synergistically optimize the timing of concentrate re-spraying, significantly improving the overall energy efficiency and operational stability of waste incineration power plants.

[0068] This application, through the aforementioned system and method, can solve the technical problem in the prior art where energy storage dispatch decisions are based entirely on electrical side parameters, resulting in blind and lagging energy storage dispatch behavior.

[0069] The specific embodiments of the present invention described above do not constitute a limitation on the scope of protection of the present invention. Any other corresponding changes and modifications made in accordance with the technical concept of the present invention should be included within the scope of protection of the claims of the present invention.

Claims

1. A coupled power supply system configured to be connected to a leachate membrane separation treatment system, the leachate membrane separation treatment system comprising a UF membrane system, an NF membrane system, and an RO membrane system, characterized in that, include: The process sensing component includes three monitoring sensors, three flow meters, and three pump power monitoring units connected to the UF membrane system, NF membrane system, and RO membrane system, respectively, for collecting TMP, TMP change rate, membrane permeate flux decay rate, and concentrate storage tank level, respectively. Energy sensing components are configured to acquire energy-side data from waste-to-energy plants. The coupling control component is electrically connected to the three monitoring sensors, the three flow meters, and the three pump power monitoring units, and is used to generate charging and discharging commands. as well as An execution component includes an energy storage module and an actuator. The actuator is electrically connected to both the coupling control component and the energy storage module and is used to receive charging and discharging commands generated by the coupling control component to control the charging and discharging power of the energy storage module.

2. The coupled power supply system according to claim 1, characterized in that, The coupled control component includes a membrane fouling stage identification module, a process event prediction module, a multi-mode scheduling strategy library, and a SOC dynamic adjustment module. The membrane fouling stage identification module classifies the degree of membrane fouling into normal, slow-rise, accelerated, and critical phases based on the current TMP value and its rate of change. The process event prediction module can predict the degree of membrane fouling based on the cumulative TMP rise curve and a preset cleaning threshold TMP. clean The process event prediction module can predict the occurrence time of a high-level warning event of the concentrate based on the rate of rise of the concentrate storage tank level. The SOC dynamic adjustment module can dynamically adjust the lower limit of the SOC of the energy storage module based on the prediction results of the process event prediction module.

3. The coupled power supply system according to claim 2, characterized in that, The TMP has a first threshold, a second threshold, and a third threshold. The TMP change rate has a first change rate threshold and a second change rate threshold. When the TMP is lower than the first threshold and the TMP change rate is lower than the first change rate threshold, the membrane fouling degree is in the normal period. When the TMP is between the first threshold and the second threshold, the membrane fouling degree is in the slow-rise period. When the TMP is between the second threshold and the third threshold, and the TMP change rate is higher than the second change rate threshold, the membrane fouling degree is in the accelerated period. When the TMP is higher than the third threshold and the estimated remaining time until the next chemical cleaning, calculated based on the average of the current TMP and the TMP change rate, is less than a first preset time.

4. The coupled power supply system according to claim 3, characterized in that, The first threshold is 1.2 to 1.8 bar, the second threshold is 2.0 to 2.5 bar, the third threshold is 2.6 to 2.9 bar, and the chemical cleaning threshold is 3.0 to 3.2 bar.

5. The coupled power supply system according to claim 2, characterized in that, The multi-mode scheduling strategy library includes at least a membrane cleaning shock suppression mode, a TMP ramp-up compensation mode, and a concentrate back-spray coordination mode. In the membrane cleaning shock suppression mode, when a cleaning pump start signal is received, the energy storage module is controlled to discharge at a power not lower than a preset power within a preset time window.

6. The coupled power supply system according to claim 5, characterized in that, In the TMP ramp compensation mode, the operating flux of the membrane high-pressure pump is increased to 105%–120% of the rated flux, and the operating flux of the membrane high-pressure pump is decreased to 80%–95% of the rated flux.

7. The coupled power supply system according to claim 5, characterized in that, The concentrated liquid back-spraying coordinated mode also includes: when the furnace temperature is higher than the first furnace temperature threshold and the liquid level in the concentrated liquid storage tank is higher than the preset liquid level, the concentrated liquid back-spraying pump is started for back-spraying.

8. A coupling power supply method, characterized in that, The specific steps of using the coupling power supply system as described in any one of claims 1-7 are as follows; Actual process status data of the membrane system in the leachate treatment plant were collected. Based on process status data, the current stage of membrane fouling is identified, and process events within a preset time period are predicted according to the cumulative rise curve of TMP and the preset chemical cleaning threshold. Real-time acquisition of energy-side data from waste-to-energy plants, including at least the plant's self-generated power, total plant power load, photovoltaic power generation, current state of charge (SOC) of energy storage modules, real-time grid electricity price signal, and real-time furnace temperature signal of the incinerator. Based on process status data and energy-side data, a multi-mode scheduling process is executed. Energy storage charging and discharging commands are generated and executed according to the scheduling process, and the execution of all charging and discharging commands must meet the process safety constraints of the membrane system.

9. The coupling power supply method according to claim 8, characterized in that, The process safety constraints include dynamic adjustment of the lower limit of SOC under process safety constraints. When a membrane chemical cleaning event is predicted to occur within a preset time in the future, the lower limit of energy storage SOC is temporarily raised from the normal value to the first safety lower limit value. After the membrane chemical cleaning event ends, it is restored to the normal value. When a high concentration warning event is predicted and the furnace temperature of the incinerator is lower than the minimum furnace temperature threshold required for re-injection, the lower limit of the energy storage SOC will be temporarily raised from the normal value to the second safety lower limit value. After the concentrate re-injection is completed, it will be restored to the normal value.

10. The coupling power supply method according to claim 8, characterized in that, When multiple scheduling modes are triggered simultaneously, the execution priority of the membrane cleaning shock suppression mode is greater than that of the concentrate back spraying coordination mode, which is greater than that of the TMP ramp-up compensation mode.

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