1-n energy storage type elevator kinetic energy recovery management method and system

Abstract

The application provides a 1:N energy storage type elevator kinetic energy recovery management method and system, relates to the technical field of energy management, is applied to an energy management architecture comprising an energy storage device, a power grid, an energy scheduling module and N elevators, the energy storage device, the power grid and the N elevators are connected with the energy scheduling module, the energy scheduling module comprises a state monitoring unit and an energy distribution unit; comprising: obtaining the operation data of each elevator through the state monitoring unit; determining the operation state of each elevator; determining the kinetic energy quality coefficient of the elevator in the power generation state; recovering the kinetic energy according to the kinetic energy recovery priority in a positive proportional relationship with the kinetic energy quality coefficient; based on the dynamic impedance matching principle, the SOC of the energy storage device after kinetic energy recovery is distributed to the load elevator in the power consumption state through the energy distribution unit; the kinetic energy recovery management of each elevator is realized. The system life is prolonged, the operation cost is reduced, and the power grid instantaneous impact is reduced.

Description

Technical Field

[0001] This invention relates to the field of energy management technology, and in particular to a kinetic energy recovery management method and system for a 1-to-N energy storage elevator. Background Technology

[0002] A 1-to-N energy storage elevator refers to a system that manages multiple elevators simultaneously through a single control and energy storage system. It recovers and stores the energy generated during operation and allocates it rationally when needed, thereby achieving the goals of energy conservation, consumption reduction, and improved operational efficiency.

[0003] In a 1-to-N energy storage elevator system, where multiple elevators share a single control and energy storage system, kinetic energy recovery management is crucial. This system efficiently recovers and stores excess energy generated during elevator descent or light-load operation, releasing it for use when other elevators are ascending or under heavy load. This significantly reduces the building's overall power consumption, improves system energy efficiency and operational stability, and is of great importance for green building and energy-saving renovations.

[0004] However, current 1-to-N energy storage elevators do not consider the limit of the number of charge and discharge cycles of the energy storage device during the energy recovery management process. The frequent operation of the elevator group leads to serious wear and tear on the life of the energy storage device. In addition, when redistributing the energy storage device, only the cost savings of electricity are considered, without considering the power grid impact caused by the random start and stop of the elevator group. This makes it difficult to alleviate the pressure of peak electricity consumption and increases the risk of elevator operation. Summary of the Invention

[0005] In view of the shortcomings of the prior art, the purpose of this invention is to provide a kinetic energy recovery management method for a 1-to-N energy storage elevator. This method can solve the technical problems of the prior art, which is that the kinetic energy recovery management process of a 1-to-N energy storage elevator does not consider the limit of the number of charge and discharge cycles of the energy storage device, the frequent operation of the elevator group leads to serious wear and tear on the life of the energy storage device, and the redistribution of energy storage devices often only considers saving electricity costs without considering the power grid impact caused by the random start and stop of the elevator group, which makes it difficult to alleviate the pressure of peak electricity consumption and increases the risk of elevator operation.

[0006] In a first aspect, the present invention proposes a 1-to-N energy storage elevator kinetic energy recovery management method, which is applied to an energy management architecture including an energy storage device, a power grid, an energy dispatch module and N elevators. The energy storage device, the power grid and the N elevators are all connected to the energy dispatch module, which includes a status monitoring unit and an energy distribution unit.

[0007] The methods include:

[0008] S1: Obtain the operating data of each elevator through the status monitoring unit;

[0009] S2: determining the running state of each elevator according to the running data, wherein the running state comprises a power generation state and a power consumption state;

[0010] S3: determining the kinetic energy quality coefficient of the elevator in the power generation state;

[0011] S4: combining the SOC of the energy storage device, and performing kinetic energy recovery according to a kinetic energy recovery priority in a positive proportional relationship with the kinetic energy quality coefficient;

[0012] S5: based on the dynamic impedance matching principle, distributing the SOC of the energy storage device after kinetic energy recovery to the load elevator in the power consumption state through the energy distribution unit;

[0013] S6: repeating steps S1 to S5 to realize kinetic energy recovery management of each elevator.

[0014] In a second aspect of the embodiment of the present application, a 1-to-N energy storage type elevator kinetic energy recovery management system is provided, comprising a processor and a memory.

[0015] The memory stores programs or instructions executable on the processor, and the programs or instructions are executed by the processor to implement the steps of the 1-to-N energy storage type elevator kinetic energy recovery management method according to the first aspect.

[0016] In a third aspect of the embodiment of the present application, a readable storage medium is provided, and the readable storage medium stores programs or instructions, and the programs or instructions are executed by a processor to implement the steps of the 1-to-N energy storage type elevator kinetic energy recovery management method according to the first aspect.

[0017] The technical scheme provided by the embodiment of the present application has at least the following beneficial effects:

[0018] In the embodiment of the present application, by introducing the kinetic energy quality coefficient, invalid or inefficient recovery is avoided when the recovery priority is sorted, the energy utilization efficiency is improved, and the SOC state is considered in the energy storage device charging and discharging control, which significantly reduces the overcharging and discharging of the energy storage device and prolongs its service life. In addition, the energy is distributed through the dynamic impedance matching method, so that the system can meet the energy consumption demand of each elevator while effectively reducing the power fluctuation of the power grid, avoiding the instantaneous impact caused by the random start and stop of the elevator group, and improving the system safety and peak shaving effect, thereby realizing energy saving while enhancing the stability and economy of elevator operation. BRIEF DESCRIPTION OF DRAWINGS

[0019] The accompanying drawings are included to provide a further understanding of the application and are incorporated in and constitute a part of this specification, illustrate embodiments of the application and together with the description serve to explain the principles of the application. In the drawings:

[0020] Figure 1 is a flowchart of a 1-to-N energy storage type elevator kinetic energy recovery management method provided by an embodiment of the application.

[0021] Figure 2 is a structural diagram of an energy management architecture provided by an embodiment of the application.

[0022] Figure 3 is a structural diagram of a 1-to-N energy storage type elevator kinetic energy recovery management system provided by an embodiment of the application. DETAILED DESCRIPTION

[0023] In order for those skilled in the art to better understand the technical solutions in the embodiments of the application, the technical solutions of the application will be described clearly and completely below with reference to the drawings. Obviously, the described embodiments are only some of the embodiments of the application, rather than all the embodiments of the application. It should be understood that these descriptions are only exemplary, but are not used to limit the scope of the application. Based on the embodiments of the application, all other embodiments obtained by those of ordinary skill in the art without creative work should fall within the scope of protection of the application.

[0024] The 1-to-N energy storage type elevator kinetic energy recovery management method provided by the embodiments of the application will be described in detail below with reference to the drawings, specific embodiments and application scenarios.

[0025] Reference is made to the accompanying drawings Figure 1 , which shows a flowchart of a 1-to-N energy storage type elevator kinetic energy recovery management method provided by an embodiment of the application.

[0026] Reference is made to the accompanying drawings Figure 2 , which shows a structural diagram of an energy management architecture provided by an embodiment of the application.

[0027] The embodiments of the application provide a 1-to-N energy storage type elevator kinetic energy recovery management method, which is applied to an energy management architecture including an energy storage device, a power grid, an energy scheduling module and N elevators. The energy storage device, the power grid and the N elevators are connected with the energy scheduling module, and the energy scheduling module includes a state monitoring unit and an energy distribution unit.

[0028] Wherein, the power grid is an external power supply connected in parallel with the energy storage device, and is used for main power supply of the elevator. The energy storage device is used for storing and releasing the electric energy generated by the kinetic energy recovery. The N elevators refer to multiple elevator devices controlled by the energy management architecture, including energy consumption and energy recovery behaviors. The state monitoring unit is one of the sub-modules of the energy scheduling module, and is used for acquiring the running state of the elevator in real time. The energy distribution unit is used for reasonably distributing the energy to each elevator according to the strategy.

[0029] The energy management architecture realizes centralized monitoring and dynamic energy distribution of multiple elevators through the unified energy scheduling module, not only improves the kinetic energy recovery efficiency, but also effectively reduces the energy storage device loss and power grid impact, and significantly improves the energy saving, stability and service life of the system.

[0030] The method can include the following steps:

[0031] S1: acquiring running data of each elevator through the state monitoring unit.

[0032] Wherein, the running data refers to the key parameter information reflecting the current running state of each elevator collected by the state monitoring unit, which is used to judge whether the elevator is in the power generation or power consumption state, and to provide decision basis for subsequent kinetic energy recovery and energy scheduling.

[0033] In a possible implementation, the running data includes running direction, acceleration, running load and running floor difference.

[0034] It should be noted that the running data includes running direction, acceleration, running load and floor difference, which helps to more accurately judge the kinetic energy state and energy consumption level of the elevator, thereby improving the determination accuracy and scheduling efficiency of the kinetic energy recovery.

[0035] S2: determining the running state of each elevator according to the running data.

[0036] Wherein, the running state includes the power generation state and the power consumption state.

[0037] It can be understood that the current state of each elevator can be accurately judged by analyzing the running data. When the elevator is in the condition of down heavy load or up light load, which has the kinetic energy release condition, it is determined as the power generation state, and the kinetic energy recovery can be performed. In the condition of up heavy load or down empty load, which needs external power supply driving, it is determined as the power consumption state, and the energy needs to be obtained from the energy storage device or the power grid to support the running. This state identification is the basis for realizing efficient energy scheduling and kinetic energy utilization.

[0038] In a possible implementation, S2 is specifically:

[0039] In the case that the running direction of the elevator is downward and the acceleration is less than or equal to zero, or in the case that the running direction of the elevator is upward and the acceleration is less than zero, it is determined that the elevator is in a power generation state. Otherwise, it is determined that the elevator is in a power consumption state.

[0040] It should be noted that by combining the running direction of the elevator with the acceleration to determine the power generation state, the actual kinetic energy release opportunity can be more accurately identified, avoiding misjudgment caused by single parameter judgment, improving the effectiveness of kinetic energy recovery and the accuracy of system scheduling, and thus improving the overall energy efficiency management level.

[0041] S3: determining the elevator kinetic energy quality coefficient in the power generation state.

[0042] The elevator kinetic energy quality coefficient is an important indicator introduced in the power generation state of the elevator to measure the value of kinetic energy recovery, which is used to quantify whether the current elevator releases kinetic energy worthy of priority recovery. Avoid low-value or ineffective energy recovery, improve overall energy efficiency, and reduce the burden of energy storage charging and discharging caused by frequent recovery.

[0043] In one possible implementation, S3 specifically includes:

[0044] S301: calculating the elevator braking power gradient quantifying the intensity of elevator kinetic energy release in combination with running data.

[0045] The calculation formula of the elevator braking power gradient is specifically:

[0046] .

[0047] Wherein, represents the elevator braking power, represents the elevator braking power gradient, represents the total mass of the elevator car, represents the instantaneous acceleration of the elevator at time t, represents the speed of the elevator at time t, represents the maximum allowed acceleration of the elevator, represents the elevator braking response time constant, represents taking the absolute value.

[0048] The elevator braking power gradient represents the change rate of braking power per unit time during the braking process of the elevator, which is used to quantify the intensity of elevator kinetic energy release. It comprehensively considers the total mass of the car, the instantaneous speed, the instantaneous acceleration, the maximum allowed acceleration, and the braking response time, etc. It can reflect the speed and concentration of kinetic energy release during the deceleration process of the elevator, and provide a key basis for evaluating whether the kinetic energy has high recovery value. The greater the gradient, the more concentrated the kinetic energy release, and the higher the potential recovery efficiency.

[0049] S302: calculating the instantaneous energy conversion efficiency of the elevator.

[0050] The calculation formula of the elevator instantaneous energy conversion efficiency is specifically:

[0051] .

[0052] Wherein, represents the elevator instantaneous energy conversion efficiency at time t, represents the maximum energy conversion efficiency of the motor under rated working condition, represents the elevator instantaneous speed at time t, represents the rated speed of the motor.

[0053] Wherein, the elevator instantaneous energy conversion efficiency represents the efficiency of the elevator in converting kinetic energy into electric energy at a certain time, which is affected by the relationship between the current running speed of the elevator and the rated speed of the motor. The closer the speed is to the rated speed, the higher the conversion efficiency is. This parameter can be used to evaluate the actual utilization value of kinetic energy recovery, and helps to improve the recovery accuracy of the energy management system.

[0054] S303: Determine the comprehensive kinetic energy contribution degree of the running load and the running floor difference of the elevator.

[0055] The calculation formula of the comprehensive kinetic energy contribution degree is:

[0056] .

[0057] Wherein, represents the comprehensive kinetic energy contribution degree, represents the running load, represents the rated load of the elevator, represents the running floor difference, represents the maximum running floor difference of the elevator, represents the acceleration of gravity.

[0058] Wherein, the comprehensive kinetic energy contribution degree is used to measure the relative value of the kinetic energy that can be released by the elevator under the current running condition, which combines the running load, speed and floor height difference of the elevator and is normalized compared with the rated working condition. This index can effectively reflect the contribution degree of the current state to the overall kinetic energy recovery.

[0059] S304: Calculate the kinetic energy quality coefficient of the elevator by combining the elevator braking power gradient and the elevator instantaneous energy conversion efficiency.

[0060] The calculation formula of the kinetic energy quality coefficient of the elevator is specifically:

[0061] .

[0062] Wherein, represents the kinetic energy quality coefficient of the elevator, represents the minimum value.

[0063] Specifically, the process first calculates the braking power gradient in combination with the running data, which is used to measure the strength of kinetic energy release during deceleration. Second, the instantaneous energy conversion efficiency is calculated, which reflects the real-time efficiency of the elevator in converting kinetic energy into electrical energy. Third, the comprehensive kinetic energy contribution of the load and floor difference is introduced, which comprehensively considers the influence of operating conditions on the size of kinetic energy. Finally, the three are combined to obtain the kinetic energy quality coefficient of the elevator. This method realizes high-precision quantitative evaluation of the power generation state of the elevator, so that the system can prioritize high-value kinetic energy for recovery when multiple elevators are running at the same time, greatly improving the economic efficiency, efficiency and intelligent level of system response of energy recovery.

[0064] S4: In combination with the energy storage SOC, the kinetic energy recovery priority in a positive proportional relationship with the kinetic energy quality coefficient is used for kinetic energy recovery.

[0065] Wherein, the energy storage SOC refers to the current percentage of the energy storage. By considering the kinetic energy quality coefficient and the energy storage SOC state, dynamic prioritization of multiple power generation elevators is achieved, avoiding ineffective recovery of the energy storage when it is close to full power, preventing energy waste and reducing the risk of damage caused by overcharging. At the same time, high-quality kinetic energy is prioritized, significantly improving the energy recovery efficiency and utilization rate of the entire system.

[0066] In one possible implementation, S4 specifically includes:

[0067] S401: In combination with the energy storage SOC, the kinetic energy recovery priority of each elevator is calculated based on the kinetic energy quality coefficient.

[0068] The calculation formula of the kinetic energy recovery priority is specifically:

[0069] .

[0070] Wherein, and respectively represent the kinetic energy recovery priority and the kinetic energy quality coefficient of the i-th elevator, and respectively represent the current state of charge of the energy storage and the safe charging cutoff SOC of the energy storage.

[0071] It should be noted that by combining the kinetic energy quality coefficient of the elevator with the current SOC state of the energy storage, the kinetic energy recovery priority of each elevator is dynamically calculated. When the energy storage is close to full power, i.e. (the safe charging cutoff SOC of the energy storage), the priority is automatically reduced to avoid overcharging risk. When the energy storage has low power, the priority is improved, which is conducive to efficient use of recoverable kinetic energy. This method realizes the coordinated control of kinetic energy value evaluation and energy storage safety state, improving the energy efficiency management level and operational safety of the system.

[0072] S402: Targeting at avoiding overcharging of the energy storage device, determine target elevator groups for kinetic energy recovery based on kinetic energy recovery priority.

[0073] In a possible implementation, S402 specifically includes:

[0074] S4021: Calculate the remaining chargeable capacity of the energy storage device, where the remaining chargeable capacity is specifically the difference between the safe charging cutoff SOC of the energy storage device and the current state of charge of the energy storage device multiplied by the total capacity of the energy storage device.

[0075] S4022: Calculate the one-way recoverable kinetic energy of each elevator in a single braking process according to the kinetic energy quality coefficient, where the one-way recoverable kinetic energy is the product of the kinetic energy quality coefficient and the braking duration of the same elevator.

[0076] S4023: Calculate the upper limit of recoverable energy of each elevator, where the upper limit of recoverable energy is the minimum value of the remaining chargeable capacity and the one-way recoverable kinetic energy.

[0077] S4024: Determine the minimum kinetic energy recovery priority threshold in combination with the remaining cycle times of the energy storage device on the same day.

[0078] The calculation formula of the minimum priority threshold is specifically:

[0079] .

[0080] wherein, min_priority_threshold represents the minimum priority threshold, max represents the maximum value in , and and represent the charge-discharge cycle times of the energy storage device on the same day and the maximum cycle times allowed by the energy storage device per day, respectively.

[0081] wherein the minimum kinetic energy recovery priority threshold is used to limit the continuous recovery of low-value kinetic energy when the cycle times of the energy storage device approach the upper limit. The threshold is dynamically improved according to the cycle times used on the same day, ensuring that only when the kinetic energy recovery priority of the elevator is high enough and has a large energy value, the elevator is allowed to access the energy storage system, thereby effectively reducing invalid charge-discharge operations, protecting the service life of the energy storage device and improving the overall energy efficiency and safety of the system.

[0082] S4025: Remove the kinetic energy recovery priority less than the minimum kinetic energy recovery priority threshold.

[0083] S4026: Add the upper limit of recoverable energy of each elevator in the order from high to low to the remaining kinetic energy recovery priority until the sum is greater than the remaining chargeable capacity.

[0084] S4027: Remove the elevators corresponding to the lowest kinetic energy recovery priority participating in accumulation, and the remaining participating elevators form the target elevator group.

[0085] Specifically, the process first estimates how much energy the energy storage device can still charge, ensuring that the subsequent recovery process does not overcharge. S4022 and S4023 combine the kinetic energy quality coefficient of the elevator with the braking time to calculate the recoverable energy per cycle and limit the maximum injectable amount to prevent over-limit injection. Further, S4024 dynamically adjusts the minimum priority threshold by the number of cycles of the energy storage device per day to avoid life loss caused by frequent charging and discharging of the battery. Then S4025 removes the low-priority elevators, S4026 accumulates the electric quantity from high to low until the upper limit of the energy storage device is reached, and finally S4027 removes the part that exceeds the limit to accurately determine the optimal elevator group. The whole process realizes the coordination of elevator kinetic energy value, energy storage capacity and battery health, significantly improving the energy recovery efficiency, safety and long-term operation reliability of the system.

[0086] S403: Turn on each elevator in the target elevator group and the energy storage device to recover kinetic energy.

[0087] Specifically, this process calculates the kinetic energy recovery priority of each elevator by combining the current SOC state of the energy storage device with the kinetic energy quality coefficient of each elevator, thereby dynamically selecting the target elevator group that is most worth recovering kinetic energy without causing overcharging risk of the energy storage device. This mechanism not only ensures the priority access of high kinetic energy release elevators, improving the efficiency of energy recovery, but also effectively avoids problems such as overcharging of the energy storage device and shortening of the life, achieving an intelligent kinetic energy scheduling strategy that balances safety and economy.

[0088] S5: Based on the dynamic impedance matching principle, the energy storage device SOC after kinetic energy recovery is distributed to the load elevators in the power consumption state through the energy distribution unit.

[0089] Wherein, the grid fluctuation rate refers to the degree of fluctuation or instability of the grid voltage or current in a short period of time. When multiple elevators or devices start or stop at the same time, it will cause a transient impact on the grid, causing fluctuations in grid voltage and current. The dynamic impedance matching principle refers to dynamically adjusting the impedance difference between the load and the power source in the power system to achieve the best energy transmission efficiency. In the elevator system, the energy scheduling module dynamically adjusts the distribution of energy from the energy storage device to each elevator according to the SOC state of the energy storage device and the load demand, ensuring that the energy flow has minimal impact on the grid. Ensure that there is no excessive grid fluctuation when adjusting the energy flow between the energy storage and the load.

[0090] It can be understood that by introducing the dynamic impedance matching principle, the energy distribution of the energy storage device and the demand of the power grid are effectively balanced. It not only optimizes the use of energy storage power and avoids excessive impact on the power grid, but also reduces the fluctuation rate of the power grid, ensures that the energy recovery and distribution process is more stable when multiple elevators are running together, reduces the load fluctuation of the power grid, and improves the operation efficiency of the system and the stability of the power supply.

[0091] In one possible implementation, S5 specifically includes:

[0092] S501: Calculate the equivalent impedance between the power grid and each load elevator to quantify the degree of power fluctuation influence of the load elevator on the power grid.

[0093] Wherein, the equivalent impedance is a complex index for measuring the degree of influence of the elevator group on the power fluctuation of the power grid, and its essence is to regard the elevator system as a load network and quantify its influence on the stability of the grid voltage and current through the index.

[0094] The calculation formula of the equivalent impedance is specifically:

[0095] .

[0096] Wherein, and respectively represent the active power and the reactive power obtained by the i-th load elevator from the power grid, and N represents the total number of load elevators, and respectively represent the first-order derivative and the second-order derivative of , represents the imaginary unit, represents the equivalent impedance at time t, represents the second-order derivative weight factor.

[0097] Wherein, the active power is the part of the electric energy actually done or consumed by the elevator, which is used to drive the movement of the elevator, such as lifting and braking. The frequency converter system of the elevator usually has an integrated electric energy metering module, which can directly output the active power value. The reactive power is the energy used to establish and maintain the magnetic field of the motor during the operation of the elevator.

[0098] Optionally, the second-order derivative weight factor can be set to 0.01.

[0099] It should be noted that by introducing the equivalent impedance index, the system can dynamically identify the load disturbance degree of each elevator to the power grid, providing a quantitative basis for subsequent energy scheduling. This method can identify high fluctuation elevators in advance, optimize their power supply strategy, effectively reduce the power fluctuation risk, and improve the adaptability and scheduling stability of the elevator system to the power grid. At the same time, based on the analysis of the first-order and second-order derivatives, the power fluctuation trend can be more comprehensively evaluated, so that the system has higher dynamic response capability and predictability.

[0100] S502: Output the predicted active power correction value of each load elevator from the power grid by using the LSTM model based on the interval correction.

[0101] In a possible implementation, S502 specifically includes:

[0102] S5021: Output the predicted active power of each load elevator by the LSTM model.

[0103] Specifically, the LSTM (Long Short-Term Memory) model first receives the historical operation data of each load elevator as input, including the time series data of active power, running state and the like in the past period of time. Through the trained time series model, the LSTM can learn the time sequence rule of the elevator operation power, and output the short-term future power demand prediction value of each elevator at the current time.

[0104] S5022: Determine the predicted active power interval including the predicted active power upper limit and the predicted active power lower limit based on the LSTM model prediction error, wherein the predicted active power lower limit is the difference between the predicted active power and the LSTM model prediction error, and the predicted active power upper limit is the sum of the predicted active power and the LSTM model prediction error.

[0105] Wherein, the LSTM model prediction error refers to the difference between the predicted value and the true observation value in the multiple prediction processes of the target variable (active power of the elevator) by using the LSTM (Long Short-Term Memory Network) model. The deviation value mean of multiple predictions can be taken.

[0106] S5023: Compress the predicted active power interval in combination with the equivalent impedance, and output the predicted active power correction value.

[0107] The calculation formula of the predicted active power correction value is specifically:

[0108] .

[0109] Wherein, represents the predicted active power correction value of the i-th load elevator after compression, represents the median of the predicted active power interval of the i-th load elevator , and represents the impedance deviation value between the equivalent impedance at time t and the preset optimal impedance .

[0110] Specifically, the upper and lower limit intervals of each elevator power prediction are constructed based on the prediction results of the LSTM model and their historical errors in S5022, considering the error risk caused by prediction uncertainty. Then in S5023, the system dynamically compresses the prediction interval and outputs the corrected active power value by combining the deviation between the current grid equivalent impedance and the optimal impedance. This correction value is based on the median of the prediction interval, with an impedance feedback adjustment mechanism, which realizes intelligent correction of elevator power prediction under the constraint of system stability. This method not only retains the learning ability of the LSTM model for future power trends, but also improves the safety and practicality of the scheduling results through impedance adjustment, effectively balancing prediction accuracy and system operation safety, and significantly reducing the risk of grid fluctuations caused by prediction deviation.

[0111] It should be noted that the size of the preset optimal impedance can be set by the person skilled in the art according to actual needs, which is not limited in the present application.

[0112] S503: Combine the impedance deviation value between the equivalent impedance and the preset optimal impedance and the predicted active power correction value to calculate the power distribution weight of the corresponding load elevator.

[0113] The calculation formula of the power distribution weight is specifically:

[0114] .

[0115] wherein, represents the impedance deviation value between the equivalent impedance and the preset optimal impedance at time t, represents the SOC of the energy storage device after kinetic energy recovery, represents the predicted active power obtained from the grid by the i-th load elevator based on the prediction algorithm, represents the sum of the predicted active power of all load elevators, represents the power distribution weight of the i-th load elevator.

[0116] It should be noted that the system determines the power distribution weight of each load elevator by calculating the deviation value between the current equivalent impedance of the grid and the preset optimal impedance, combining the current state of charge of the energy storage device and the predicted power demand of each elevator. This formula considers the grid stability (the greater the impedance deviation, the smaller the weight), the load capacity of the energy storage device (the higher the SOC, the smaller the distribution tendency), and the proportion of elevator power demand (the greater the load, the higher the weight), thereby realizing a more balanced, stable and safe power distribution strategy, effectively avoiding instantaneous load concentration, reducing grid impact, and improving the accuracy and response ability of system scheduling.

[0117] S504: Determine the actual distribution power of each load elevator based on the power distribution weight.

[0118] The calculation formula of the actual allocated power is specifically:

[0119] .

[0120] wherein, represents the actual allocated power of the i-th load elevator, represents taking the minimum value, represents the maximum allowable power of the load elevator, represents the available output power of the energy storage device related to the energy storage device SOC after kinetic energy recovery, represents the grid reference impedance.

[0121] The available output power of the energy storage device related to the energy storage device SOC after kinetic energy recovery refers to the maximum output power that the energy storage device can provide according to its current state of charge after the elevator system completes kinetic energy recovery. It can be provided in real time by the energy storage management system. The grid reference impedance refers to the equivalent impedance value of the grid in an ideal or stable operating state.

[0122] The system dynamically calculates the actual available power value in combination with the power allocation weight of each elevator, the available output power of the energy storage device, and the current impedance state of the grid, and limits it with the maximum allowable power of the elevator as the upper limit. This method effectively avoids the impact caused by excessive power supply when the grid load is unstable by introducing an impedance deviation correction factor.

[0123] S505: Distribute from the energy storage device SOC after kinetic energy recovery to the corresponding load elevator according to the actual allocated power.

[0124] It should be noted that this process realizes the perception and allocation of the power demand of the load elevator by introducing the equivalent impedance of the grid and the LSTM prediction model, in combination with the state of charge of the energy storage device. Specifically, first, S501 calculates the equivalent impedance of each elevator to the grid using real-time operating data, quantifying the degree of power fluctuation caused by it. S502 predicts the future active power demand of each elevator based on the interval-corrected LSTM model. S503 calculates the power allocation weight based on the deviation between the equivalent impedance and the optimal value, the energy storage device SOC, and the power prediction result. S504 further performs flexible correction based on the power weight in combination with the impedance deviation to allocate reasonable power supply. Finally, S505 accurately injects the energy in the energy storage device into the target elevator according to this strategy.

[0125] S6: Repeat steps S1 to S5 to realize kinetic energy recovery management of each elevator.

[0126] In practical application, the system first acquires elevator operation data in real time through a state monitoring unit, accurately identifies that the elevator is in power generation or power consumption state. Then, based on the operation parameters, the kinetic energy quality coefficient of the elevator is calculated, the kinetic energy recovery value is evaluated, and the kinetic energy recovery priority is dynamically calculated combined with the SOC state of the energy storage device. On the basis of avoiding overcharging and excessive cycling of the energy storage device, the optimal recovery elevator group is selected to realize efficient kinetic energy injection. Then, the system minimizes the grid fluctuation rate as the target, combines LSTM prediction and grid equivalent impedance calculation to regulate the distribution of energy storage power to each power consumption elevator, and finally realizes accurate energy supply through a dynamic matching strategy. This method can effectively improve the kinetic energy recovery efficiency, prolong the service life of the energy storage device, balance the grid load fluctuation, reduce the operation cost, and significantly enhance the safety, intelligence and energy saving of system operation.

[0127] The technical scheme provided by the embodiment of the application has at least the following beneficial effects:

[0128] In the embodiment of the application, by introducing the kinetic energy quality coefficient, invalid or inefficient recovery is avoided in the recovery priority sorting, the energy utilization efficiency is improved, and the SOC state is considered in the energy storage device charging and discharging control, which significantly reduces the excessive charging and discharging of the energy storage device and prolongs its service life. In addition, the energy is distributed through the dynamic impedance matching method, so that the system effectively reduces the grid power fluctuation while meeting the energy consumption demand of each elevator, avoids the instantaneous impact caused by the random start and stop of the elevator group, improves the system safety and peak shaving effect, thereby realizing the energy saving target while enhancing the stability and economy of the elevator operation.

[0129] Reference is made to the accompanying drawings Figure 3 The accompanying drawings show a structure schematic diagram of a 1-to-N energy storage type elevator kinetic energy recovery management system provided by the embodiment of the application.

[0130] The embodiment of the application provides a 1-to-N energy storage type elevator kinetic energy recovery management system 20, which comprises a processor 201 and a memory 202.

[0131] The memory 202 stores programs or instructions that can run on the processor 201, and the programs or instructions are executed by the processor 201 to realize the steps of the above-mentioned 1-to-N energy storage type elevator kinetic energy recovery management method, and achieve the same technical effect. To avoid repetition, the application will not be described again.

[0132] It is to be understood that the processor 201 in the embodiments of the present application can be a central processing unit (CPU), and can also be other general-purpose processors, digital signal processors (DSP), application specific integrated circuits (ASIC), field programmable gate arrays (FPGA) or other programmable logic devices, discrete gates or transistor logic components, discrete hardware components, etc. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor.

[0133] It is also to be understood that the memory 202 in the embodiments of the present application can be a volatile memory or a non-volatile memory, or can include both volatile and non-volatile memory. Among them, the non-volatile memory can be a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM) or a flash memory. The volatile memory can be a random access memory (RAM) used as an external cache. By way of example, but not limitation, many forms of random access memory are available, such as static random access memory (SRAM), dynamic random access memory (DRAM), synchronous dynamic random access memory (SDRAM), double data rate synchronous dynamic random access memory (DDR SDRAM), enhanced synchronous dynamic random access memory (ESDRAM), synchronous link dynamic random access memory (SLDRAM) and direct memory bus random access memory (DRAM).

[0134] The above-described embodiments can be implemented in whole or in part by software, hardware (e.g., circuitry), firmware, or any combination of the three. When implemented in software, the above-described embodiments can be implemented in the form of one or more computer programs that are stored in a computer-readable storage medium. The computer-readable storage medium stores one or more computer instructions or computer programs that, when loaded into a computer, cause the computer to perform the processes or functions described in the embodiments of the present application. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable apparatus. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium, such as from a website, a computer, a server, or a data center to another website, computer, server, or data center, via a wired (e.g., infrared, wireless, microwave, etc.) manner. The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. that contains one or more collections of available media. The available media can be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium. The semiconductor medium can be a solid-state disk.

[0135] It should be understood that the size of the sequence number of each process described above in various embodiments of the present application does not mean the order of execution, and the execution order of each process should be determined by its function and inherent logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0136] Those of ordinary skill in the art can realize that the units and algorithm steps of the examples described in conjunction with the embodiments disclosed herein can be realized in electronic hardware, or a combination of computer software and electronic hardware. Whether the functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. A person skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of the present application.

[0137] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the above-described devices, apparatuses, and units can refer to the corresponding processes in the foregoing method embodiments, which will not be described here.

[0138] In several embodiments provided by the present application, it should be understood that the disclosed devices, apparatuses and methods can be implemented in other manners. For example, the embodiments of the apparatus described above are merely schematic. For example, the division of the units is only a logical function division. There can be another division manner for the actual implementation. For example, a plurality of units or components can be combined or integrated into another device, or some features can be ignored or not executed. In addition, the displayed or discussed mutual couplings or direct couplings or communication connections can be indirect couplings or communication connections through some interfaces, devices or units, and can be in electrical, mechanical or other forms.

[0139] The units described as separate components can or can not be physically separate, and the components shown as units can or can not be physical units, that is, can be located in one place, or can be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the embodiment.

[0140] In addition, each functional unit in the various embodiments of the present application can be integrated into a processing unit, or each unit can be a physically separate unit, or two or more units can be integrated into a unit.

[0141] If the functions are realized in the form of software function units and sold or used as independent products, they can be stored in a computer readable storage medium. Based on this understanding, the technical solutions of the present application or the part of the technical solutions that essentially contribute to the prior art can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes a plurality of instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method described in the various embodiments of the present application. The aforementioned storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and various media that can store program codes.

[0142] The embodiment of the present application provides a readable storage medium, which includes: a program or instruction stored on the readable storage medium, the program or instruction is executed by a processor to realize the steps of the 1-to-N energy storage elevator kinetic energy recovery management method described above, and the same technical effect can be achieved. To avoid repetition, the present application will not be described again.

[0143] It should be pointed out finally that the above embodiments are only used to illustrate the technical solutions of the embodiments of the present application, but not to limit them. Although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those skilled in the art that the technical solutions recorded in the foregoing embodiments can be modified, or some technical features can be replaced equivalently; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application. Any changes or replacements that can be easily thought of by those skilled in the art within the technical scope disclosed by the present application should be covered within the protection scope of the present application.

Claims

1. A 1-to-N energy storage type elevator kinetic energy recovery management method, characterized by, The application is applied to an energy management architecture including an energy storage device, a power grid, an energy scheduling module and N elevators, the energy storage device, the power grid and N elevators are connected with the energy scheduling module, the energy scheduling module includes a state monitoring unit and an energy distribution unit; the method comprises: S1: obtaining the operation data of each elevator through the state monitoring unit; S2: determining the operation state of each elevator according to the operation data, wherein the operation state includes a power generation state and a power consumption state; S3: determining the kinetic energy quality coefficient of the elevator in the power generation state; S4: combining the energy storage device SOC, the kinetic energy recovery priority in a positive proportional relationship with the kinetic energy quality coefficient is used for kinetic energy recovery; S5: based on the dynamic impedance matching principle, the energy storage device SOC after kinetic energy recovery is distributed to the load elevator in the power consumption state through the energy distribution unit; S6: repeating steps S1 to S5 to realize the kinetic energy recovery management of each elevator; Wherein, the elevator kinetic energy quality coefficient is an important index for measuring the value of kinetic energy recovery introduced in the elevator power generation state, which is used to quantify whether the current elevator released kinetic energy is worth recovering; Wherein, the S3 specifically includes: S301: combining the operation data to calculate the elevator braking power gradient quantifying the elevator kinetic energy release intensity; S302: calculating the elevator instantaneous energy conversion efficiency; S303: determining the comprehensive kinetic energy contribution degree of the running load and the running floor difference of the elevator; S304: combining the elevator braking power gradient and the elevator instantaneous energy conversion efficiency to calculate the elevator kinetic energy quality coefficient; Wherein, the elevator braking power gradient represents the change rate of braking power per unit time during the braking process of the elevator, which is used to quantify the intensity of the elevator kinetic energy release; Wherein, the elevator instantaneous energy conversion efficiency represents the efficiency of the elevator in converting kinetic energy into electric energy at a certain time; Wherein, the comprehensive kinetic energy contribution degree is used to measure the relative value of the kinetic energy that can be released by the elevator under the current operating conditions; Wherein, the S5 specifically includes: S501: calculating the equivalent impedance between the power grid and each load elevator to quantify the power fluctuation influence degree of the load elevator on the power grid; S502: using the interval correction based LSTM model to output the predicted active power correction value of each load elevator from the power grid; S503: combining the impedance deviation value between the equivalent impedance and the preset optimal impedance and the predicted active power correction value to calculate the power distribution weight of the corresponding load elevator; S504: based on the power distribution weight, determining the actual distribution power of each load elevator; S505: distributing the energy storage device SOC after kinetic energy recovery to the corresponding load elevator according to the actual distribution power.

2. The 1 -out-of- N energy storage elevator kinetic energy recovery management method according to claim 1, characterized by, The operation data includes running direction, acceleration, running load and running floor difference.

3. The 1 -out-of- N energy storage elevator kinetic energy recovery management method according to claim 1, characterized by, The S2 specifically includes: In the case that the running direction of the elevator is downward and the acceleration is less than or equal to zero, or in the case that the running direction of the elevator is upward and the acceleration is less than zero, it is determined that the elevator is in the power generation state; otherwise, it is determined that the elevator is in the power consumption state.

4. The 1 -out-of- N energy storage elevator kinetic energy recovery management method according to claim 1, characterized by, The S4 specifically includes: S401: Calculate kinetic energy recovery priority of each of the elevators based on the kinetic quality factor in combination with the SOC of the energy storage device; S402: Determine target elevator group for kinetic energy recovery based on the kinetic energy recovery priority, with the goal of avoiding overcharging of the energy storage device; S403: Connect each of the elevators in the target elevator group to the energy storage device for kinetic energy recovery.

5. The 1-to-N energy-stored elevator kinetic energy recovery management method according to claim 4, characterized by, The S402 specifically includes: S4021: Calculate the remaining chargeable capacity of the energy storage device, wherein the remaining chargeable capacity is specifically the difference between the energy storage device safe charging cutoff SOC and the current state of charge multiplied by the total capacity of the energy storage device; S4022: Calculate the one-way recoverable kinetic energy of each of the elevators in a single braking process according to the kinetic quality factor, wherein the one-way recoverable kinetic energy is the product of the kinetic quality factor and the braking duration of the same elevator; S4023: Calculate the upper limit of recoverable energy of each of the elevators, wherein the upper limit of recoverable energy is the minimum of the remaining chargeable capacity and the one-way recoverable kinetic energy; S4024: Determine the minimum kinetic energy recovery priority threshold in combination with the remaining cycle times of the energy storage device for the day; S4025: Remove the kinetic energy recovery priority that is less than the minimum kinetic energy recovery priority threshold; S4026: Add the upper limit of recoverable energy of each of the elevators corresponding to the remaining kinetic energy recovery priority in descending order until the sum is greater than the remaining chargeable capacity; S4027: Remove the elevator corresponding to the lowest kinetic energy recovery priority involved in the addition, and the remaining elevator involved in the addition constitutes the target elevator group.

6. The 1 -out-of- N energy storage elevator kinetic energy recovery management method of claim 1 wherein, The S502 specifically includes: S5021: Output the predicted active power of each of the load elevators through the LSTM model; S5022: Determine the predicted active power interval including the upper limit of predicted active power and the lower limit of predicted active power based on the LSTM model prediction error, wherein the lower limit of predicted active power is the difference between the predicted active power and the LSTM model prediction error, and the upper limit of predicted active power is the sum of the predicted active power and the LSTM model prediction error; S5023: Compress the predicted active power interval in combination with the equivalent impedance to output the predicted active power correction value.

7. A 1-to-N energy storage type elevator kinetic energy recovery management system, characterized by, It includes: a processor and a memory; The memory stores programs or instructions that can be run on the processor, and the programs or instructions are executed by the processor to implement the steps of the 1-to-N energy storage elevator kinetic energy recovery management method according to any one of claims 1 to 6.

8. A readable storage medium, characterized by, The program or instruction is stored on the readable storage medium, and the program or instruction is executed by the processor to implement the steps of the 1-to-N energy storage elevator kinetic energy recovery management method according to any one of claims 1 to 6.

Images