Power distribution method and system of energy storage and power generation new energy elevator based on photovoltaic-stored-diesel microgrid

By identifying energy storage power supplies, monitoring load rates and calculating the positive oscillation score in the optical storage microgrid, and selecting the appropriate energy storage power supply to power the elevator, the problem that the optical storage microgrid is difficult to meet the instantaneous power demand during the elevator start-stop process, and the stability of elevator operation and passenger safety are improved.

CN120004079AActive Publication Date: 2025-05-16GUANGDONG HUAKAI ELEVATOR
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Patent Information

Application Number
CN202510460829.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-04-11
Publication Date
2025-05-16
Estimated Expiration
2045-04-11

AI Technical Summary

Technical Problem

In the prior art, the optical storage microgrid is difficult to meet the instantaneous power demand during the elevator start-stop process, resulting in emergency stops and short oscillations, affecting the service life of elevator components and passenger safety.

Method used

By identifying the energy storage power supply from the optical diesel microgrid, monitoring the load rate in real time, obtaining the load rate matrix, and calculating the oscillation positive score, selecting the appropriate energy storage power supply to power the elevator to stabilize the elevator operation.

Benefits of technology

It effectively avoids emergency stops and short-term oscillations of elevators, extends the service life of elevator components, and improves passenger safety.

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Abstract

The invention belongs to the technical field of new energy and elevator power distribution, and provides a power distribution method and system of an energy storage power generation new energy elevator based on an optical-storage-diesel microgrid, and the method specifically comprises the steps: firstly, recognizing energy storage power supplies from the optical-storage-diesel microgrid, monitoring the load rate of each energy storage power supply in real time, and obtaining a load rate matrix; calculating an oscillation positive score through the load rate matrix and the output voltage, and finally selecting an energy storage power supply for elevator power distribution by using the oscillation positive score. And explaining the solving capability of each energy storage power supply when meeting the instantaneous power demand problem in the elevator starting and stopping process in the elevator power supply process. The risk of transient oscillation and the risk of sudden stop of the elevator caused by transient inconsistency of the output voltage of the battery pack are avoided, on one hand, the service life of elevator parts is effectively maintained and prolonged, and on the other hand, safer travel protection is provided for passengers of the elevator.
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Description

Technical Field

[0001] The present invention belongs to the technical field of new energy and elevator power distribution, and specifically relates to a power distribution method and system for a new energy elevator based on a photovoltaic, storage and diesel microgrid. Background Art

[0002] The photovoltaic-energy-storage-diesel microgrid is an independent power supply system that integrates photovoltaic power generation, energy storage system and diesel engine. It uses photovoltaic power to reduce fuel consumption, and the energy storage system smoothes power fluctuations to improve the stability of power supply. Connecting elevators to the photovoltaic-energy-storage-diesel microgrid can not only effectively ensure the daily traffic efficiency of the building, but also provide evacuation action functions and safety guarantees for personnel dispatch in emergency scenarios. In the application situation where the elevator is disconnected from the external power grid, the elevator operation process is prone to emergency stop triggering. The emergency stop is often due to the sharp increase in the instantaneous power demand during the elevator start-stop process. When a single storage battery is used for power supply, the power output capacity and voltage fluctuation of the energy storage device cannot be guaranteed, and then transient current shocks are prone to occur and trigger overcurrent protection. At present, there is a technical solution in the art to solve the problem of elevator power supply mode with multiple power sources such as multiple battery packs working in parallel, so that the total power output capacity is significantly improved and can meet the instantaneous power demand of the elevator start-stop process. However, the method often brings about short-term oscillation in actual application, and even overcurrent protection still triggers the emergency stop of the elevator. This is because the transient response defect will occur in the parallel working mode of the multiple battery packs. The transient response defect occurs because the photovoltaic-storage-diesel microgrid itself does not serve the elevator independently, but serves a large number of loads or power supply equipment in the photovoltaic-storage-diesel microgrid. The power demand of these loads changes dynamically, especially when the elevator starts and stops, other loads may also be adjusting their power, and the power fluctuations of the multiple loads will affect the voltage and frequency stability of the entire microgrid, and then the output current and voltage of each battery pack may be temporarily inconsistent, thereby causing a short-term oscillation phenomenon. The transient response problem of the microgrid energy storage system is disclosed in the literature (Gao Jianxun. Research on the short-circuit characteristics of the energy storage inverter end in the photovoltaic-storage microgrid [J]. Environmental Technology, 2022, 40 (6): 151-156). The short-term oscillation will bring unexpected load pressure to the traction system and braking system of the elevator, which will not only affect the service life of the elevator components, but also bring safety hazards to the passengers of the elevator. Therefore, there is an urgent need for a power distribution method and system for energy storage and power generation new energy elevators based on photovoltaic-storage-diesel microgrids. Summary of the invention

[0003] The purpose of the present invention is to propose a power distribution method and system for a new energy elevator based on a photovoltaic, diesel and energy storage microgrid, so as to solve one or more technical problems existing in the prior art and at least provide a beneficial choice or create conditions.

[0004] The "energy storage and power generation new energy elevator" refers to an elevator operating in an energy storage and power generation new energy application scenario, and this method is to control the elevator power supply to address the problem of possible temporary inconsistency in the output current and voltage of each battery pack in the energy storage and power generation new energy scenario.

[0005] The elevator power supply control method in this method is only triggered when the external power grid cannot provide power supply, and is not triggered when the external power grid is supplying power normally. This method is based on the frequent increase in instantaneous power demand during elevator operation and the transient response problem in battery application. Other elevator power indicators are not considered as additional variables, such as the current and voltage of elevator operation. This basic standard for elevator operation can be judged by threshold value and will not be repeated.

[0006] In order to achieve the above object, according to one aspect of the present invention, a power distribution method for a new energy elevator based on a photovoltaic, storage and diesel microgrid is provided, and the method comprises the following steps: Identify energy storage power sources from the photovoltaic, storage and diesel microgrid; monitor the load rate of each energy storage power source in real time and obtain the load rate matrix; calculate the oscillation positive score through the load rate matrix and output voltage; and use the oscillation positive score to select energy storage power sources for elevator power distribution.

[0007] Furthermore, a method for identifying energy storage power sources from a photovoltaic-storage-diesel microgrid is: the photovoltaic-storage-diesel microgrid includes a plurality of energy storage power sources and a plurality of elevators, the number of elevators is less than or equal to the number of energy storage power sources, the energy storage power source is any one of a lithium-ion battery, a lead-acid battery, a nickel-cadmium battery or a lithium iron phosphate battery, and two or more of all the energy storage power sources are connected in parallel to supply power to the elevators.

[0008] Energy storage power supplies are used to provide power to various devices in the microgrid when power cannot be obtained from the external power grid. Energy storage power supplies not only provide power for elevators in the solar-storage-diesel microgrid, but also provide power for other load devices or power supply devices.

[0009] Elevators require extremely high instantaneous power during the start and stop process, which is usually more than three times the rated power. Therefore, there is a risk of power output being missing from a single energy storage power supply. At the same time, when a single energy storage power supply frequently responds to high power demands, it is prone to problems such as overload, high temperature, and accelerated aging. Therefore, two or more energy storage power supplies are connected in parallel to power the elevator.

[0010] Furthermore, the load rate is monitored in real time from each energy storage power source, and the method for obtaining the load rate matrix is: for any energy storage power source, its load rate at any moment is the ratio of the output power of the energy storage power source at that moment to its rated power; the load rate monitoring time domain DLRM is set, and the value range of the load rate monitoring time domain is DLRM∈[3,10] minutes; for the current moment, within the DLRM period in the reverse time direction, the load rates of different energy storage power sources at the same moment are taken as columns, and the load rates of the same energy storage power source at different moments are taken as rows, and a matrix is ​​constructed and recorded as a load rate matrix.

[0011] The construction of the load rate matrix here provides a data structure basis for the subsequent extraction of variable features from the perspectives of time dimension and energy storage power source.

[0012] Furthermore, the method of calculating the oscillation positive score through the load factor matrix and the output voltage is as follows: suppose a time period as the monitoring period TIY, TIY∈[2,6] hours, and record the time point of obtaining the load factor and the output voltage as the measurement point within the monitoring period; The output voltage is not a real-time monitoring value, but the average value of each output voltage measured between two measuring points.

[0013] The output voltage of each measuring point is used to form a voltage sequence; the measuring point and its corresponding load rate are used to form an evaluation tuple; the measuring point here is the relative time size in the time monitoring period, and the closer to the current time, the smaller the time measuring point value; the corresponding evaluation tuples of different energy storage power sources at the same time are formed into a set and recorded as the evaluation set Lst{Lar}; The voltage sequence value interval is divided into three value intervals using the upper quartile and the lower quartile of the voltage sequence as the dividing points. The corresponding measurement points of each value interval in descending order are classified into three oscillation points, which are recorded as high-order oscillation points, stable oscillation points and low-order oscillation points. Specifically: obtain the upper quartile S.OTv and lower quartile X.OTv of the voltage sequence; when the element is greater than X.OTv and less than S.OTv, the corresponding measurement point is recorded as a stable oscillation point; when the element is less than or equal to X.OTv, the corresponding measurement point is recorded as a low-order oscillation point; when the element is greater than or equal to S.OTv, the corresponding measurement point is recorded as a high-order oscillation point; Then the element value ranges of all stable oscillation points, low-order oscillation points and high-order oscillation points are recorded as [min.OTv1, max.OTv1], [min.OTv2, max.OTv2], [min.OTv3, max.OTv3] respectively; Where min.OTv1, min.OTv2 and min.OTv3 are the minimum values ​​of the corresponding output voltages among all stable oscillation points, low-order oscillation points and high-order oscillation points respectively; max.OTv1, max.OTv2 and max.OTv3 are the maximum values ​​of the corresponding output voltages among all stable oscillation points, low-order oscillation points and high-order oscillation points respectively; The difference between the average value of the voltage sequence and the minimum oscillation value is recorded as the first oscillation record Fos1; wherein the minimum oscillation value is the product of the minimum voltage value in the stable oscillation point and the oscillation stable balance ratio; wherein the oscillation stable balance ratio is the ratio of the minimum voltage value of the low-order oscillation point to the maximum voltage value of the stable oscillation point; The maximum oscillation value is recorded as the product of the maximum voltage of the stable oscillation point and the oscillation abnormal balance ratio; the difference between the average value of the voltage sequence and the maximum oscillation value is recorded as the second oscillation record Fos2, and the oscillation abnormal balance ratio is the ratio of the maximum voltage of the low-order oscillation point to the maximum voltage of the high-order oscillation point; The principle of obtaining the first oscillation record and the second oscillation record here is actually based on the quartile division of the output voltage within the monitoring period, and is calculated by combining the characteristic values ​​of the stable oscillation point, the low-order oscillation point, and the high-order oscillation point. The oscillation stability balance ratio is the ratio of min.OTv2 to max.OTv1, which corresponds to the potential for the low-order oscillation point to recover to the stable oscillation point; the oscillation abnormal balance ratio is the ratio of max.OTv2 to max.OTv3, which corresponds to the risk of the low-order oscillation point evolving to the high-order oscillation point. Here, the first oscillation record measures the difference between the average voltage and the value related to the lower voltage fluctuation during stable operation. A smaller first oscillation record indicates that the system fluctuation is small and the output voltage is stable. A larger first oscillation record indicates that the system is in a strong basic fluctuation state, indicating instability. The second oscillation record measures the difference between the average voltage and the value related to the higher voltage fluctuation during stable operation. A larger second oscillation record indicates that even the lower extreme voltage is higher than the higher extreme voltage, indicating that the unit will not experience high voltage peaks during typical operation, indicating that the system is stable. The acquisition of the first oscillation record and the second oscillation record provides a real-time reference for the stability evaluation of the distribution system of the new energy elevator based on the photovoltaic storage and diesel microgrid.

[0014] Take any measuring point as the current measuring point; calculate the oscillation positive score Ospm at the current moment according to the first oscillation record and the second oscillation record: Ospm = Edg (Lst {Lar}) × ln (Fos1 / Fos2+1) OPtv; Wherein OPtv is the output voltage of the current measuring point, Edg(Lst{Lar}) is the load fluctuation function, and the return value obtained by the load fluctuation function Edg(Lst{Lar}) is: the standard deviation of the Manhattan distance between the evaluation tuple of the current measuring point and each element in the evaluation set, and ln() is a logarithmic function with the natural constant e as the base.

[0015] The principle of calculating the oscillation positive score here is to evaluate the specificity of the operating state of different energy storage units at the same time through the load fluctuation function. The larger the value, the lower the system stability. In the logarithmic construction, the universality of the base of the natural logarithm e in simulating the natural growth and decay process is adopted. Since the range of variation between the first oscillation record and the second oscillation record is large, it is necessary to use a logarithmic method to scale the oscillation information derived from the first oscillation record and the second oscillation record to a more manageable range to construct the oscillation term factor. The oscillation term factor is mapped to a direct related measure of the severity of the imbalance of the system voltage output stability. The output voltage acts as a weighting factor. If the current voltage is high, the contribution of the oscillation term factor to the total score will be amplified, otherwise the contribution of the oscillation term factor will be suppressed. The high voltage value implies a fuller voltage demand state. At this time, the oscillation occurs, and the instability of the energy storage power supply in voltage and frequency is more significant. Compared with the same level of oscillation risk at a lower voltage, the impact is relatively low in severity, and generally does not point to a serious fault.

[0016] Since the calculation of the oscillation positive score requires the processing of the first oscillation record and the second oscillation record, it can effectively quantify the risks caused by the instability of voltage and frequency of different energy storage power sources in the scenario where multiple power sources are connected in parallel to power elevators in the photovoltaic, energy storage and diesel microgrid. However, the acquisition of stable oscillation points, low-order oscillation points and high-order oscillation points is too dependent on the output voltage, which will lead to excessive sensitivity to input noise, resulting in deviations in the sensitivity of the oscillation point division to the quartile threshold and load rate fluctuations, causing the results to deviate from the actual oscillation risk and cause decision-making deviations, especially in periods when the measurement points are densely packed or unevenly distributed, making the problem more prominent. However, the existing technology cannot effectively compensate for this deviation. In order to eliminate this influence, the present invention proposes a more preferred solution as follows: Preferably, the method of calculating the oscillation positive fraction by the load factor matrix and the output voltage is: Assume a time period as the monitoring period TIY, TIY∈[2,10] hours. During the monitoring period, the time scale of obtaining the load rate and output voltage is recorded as the measurement point; The average value of the output voltage of each measuring point during the monitoring period is obtained and recorded as the steady-state voltage level. If the output voltage of any measuring point is greater than the steady-state voltage level, it is defined that an oscillation marking event occurs at the measuring point. The total number of oscillation marking events is recorded as Uov; the output voltage of each measuring point is normalized to the minimum and maximum and recorded as the oscillation voltage order value Osvt; the number of all measuring points in the monitoring period is recorded as SDh; the load rate of each measuring point is obtained to form an oscillation evaluation sequence; the ratio of the range of the oscillation evaluation sequence to SDh is calculated and recorded as the interval oscillation amount Loqu; Loqu is rounded up; The Euclidean distance between any element in the oscillation evaluation sequence and its previous element is the sub-spacing oscillation value Loqu.Se of the measuring point corresponding to the element, where the sub-spacing oscillation value of the last element is the average value of all sub-spacing oscillation values; The principle of obtaining the sub-spacing oscillation quantity here is actually to obtain it by calculating the absolute value of the difference between any element and its next element in the oscillation evaluation sequence. The sub-spacing oscillation quantity directly reflects the change in the load rate between adjacent measuring points, which is a manifestation of the potential risk of short-term oscillation and the risk of elevator emergency stop. The sub-spacing oscillation quantity quantifies the dynamic stability of the system during the monitoring period; If the sub-spacing oscillation is small, it indicates that the load rate changes smoothly and the stability is high. If the sub-spacing oscillation is large, it indicates that the load rate changes dramatically and the stability is low. Therefore, the acquisition of the sub-spacing oscillation can evaluate the stability of the distribution system of the new energy elevator based on the photovoltaic, storage and diesel microgrid energy storage power generation on different time scales.

[0017] In the oscillation evaluation sequence, if the sub-spacing oscillation amount corresponding to any element is greater than the spacing oscillation amount, it is defined that an abnormal oscillation event occurs at the corresponding measuring point of the traversed element, and the total number of abnormal oscillation events is recorded as Aoe, and any element in the oscillation evaluation sequence is taken as the current element; If an oscillation mark event and an abnormal oscillation event occur at the corresponding measuring point of the current element, the measuring point is defined as a positive oscillation point; the oscillation positive score Ospm at the current moment is calculated based on the positive oscillation point: ; Where j1 is the cumulative variable, svb is the number of positive oscillation points during the monitoring period, Loqu.Se j1 and Vt.Loqu.Se j1 are the sub-spacing oscillation amount of the j1th active oscillation point and the percentile of its sub-spacing oscillation amount in the sub-spacing oscillation amount of all energy storage sources at the current moment, e is a natural constant, It is a logarithmic function with Uov / Aoe+1 as the base.

[0018] The calculation principle of the oscillation positive score is to use Uov and Aoe to represent the frequency of voltage higher than the steady-state level and the frequency of drastic changes in load rate, respectively. Therefore, the base of the logarithmic term is intended to adjust the sensitivity of the logarithmic function according to the correlation between voltage fluctuations and drastic changes in load, thereby reflecting the possibility of voltage fluctuations received by the elevator group in the light-storage-diesel microgrid during the non-load drastic change time interval. The larger the value of the logarithmic term, the problem exists in the voltage regulation function of the energy storage power supply itself or the microgrid. The numerator in the summation term on the right side of the formula reflects the amplitude of the load rate change between adjacent measuring points, and its feedback result is the intensity of the transient response capability requirement of the energy storage power supply. The larger the amplitude of change, the stronger the requirement for transient response capability, and the greater the risk of voltage fluctuation. The denominator reflects the intensity of the load rate change of the current energy storage power supply relative to other energy storage power supplies. It is a dynamic relative indicator, and uses natural constants as the failure conversion weight of the positive oscillation point. Since the logarithmic term is usually negative and the summation term is usually positive, the positive or negative attribute of the result depends on the value of the logarithmic term. When the voltage fluctuation amplitude is large, the negative feature of the logarithmic term is stronger, and at the same time, it is accompanied by a relatively drastic load rate change between significant power sources, the absolute value of the oscillation positive score will be larger, indicating that the energy storage power supply is more unstable. According to the calculation principle, the energy storage power supply with the smallest oscillation positive score is further selected to power the elevator, so as to avoid the risk of short-term oscillation caused by short-term inconsistency in the output voltage of the battery pack.

[0019] The output voltage is read and recorded and stored simultaneously when the load rate is obtained.

[0020] The above two methods of selecting energy storage power sources for elevator power distribution using oscillation positive scores are alternative solutions. The former has advantages in computing speed and operating efficiency, but the stability is reduced when the data volume is insufficient. The latter has advantages in computing precision and decision accuracy, but the operating efficiency is low and there will be lag when the data bandwidth is large.

[0021] Beneficial effect: Since the oscillation positive score is calculated by extracting features from the time dimension and the perspective of energy storage power supply based on the construction of the load rate matrix, it can effectively quantify the instability of voltage and frequency of different energy storage power supplies in the scenario where multiple power sources are connected in parallel to power the elevator in the photovoltaic, storage and diesel microgrid, thereby explaining the ability of each energy storage power supply to solve the problem of meeting the instantaneous power demand of the elevator start-stop process during the elevator power supply process.

[0022] Furthermore, the method of selecting energy storage power sources for elevator power distribution using oscillation positive scores is as follows: in the solar-storage-diesel microgrid, the number of energy storage power sources for powering an elevator is preset and recorded as PSN; when any elevator changes from static to when elevator carrying demand occurs, the oscillation positive scores corresponding to each energy storage power source are intercepted and a score sequence is formed, and the energy storage power source corresponding to the smallest PSN element in the score sequence is defined as the elevator's call power source, and each call power source is connected in parallel to power the elevator.

[0023] The operating logic of any elevator when it changes from being stationary to having elevator carrying demand is that the elevator starts to monitor whether the elevator carrying demand occurs from the stationary standby state. When the elevator carrying demand never occurs at a certain moment and changes to the elevator carrying demand occurring, the energy storage power supply for powering the elevator is selected.

[0024] This method can select the elevator power supply in real time, but this method is relatively unstable for scenarios with multiple elevators running. This is because the frequency of identifying abnormal voltage fluctuations in the operation of multiple elevators increases, the frequency of calling for power replacement will be very high, the time consumed in switching the elevator power supply lines will increase significantly, and the efficiency of elevator scheduling will be reduced in long-term operation. Therefore, this method is more suitable for scenarios with a small number of elevators.

[0025] Preferably, the method of selecting energy storage power supply for elevator power distribution using oscillation positive score is: in the photovoltaic-storage-diesel microgrid, the number of energy storage power supplies for powering one elevator is preset and recorded as GSN; energy storage power supply is selected for the elevator every 0.25 hour to 2 hours, and the energy storage power supply corresponding to the smallest GSN element in the score sequence is defined as the call power supply for all elevators, and each call power supply is connected in parallel to power the elevator.

[0026] This method is different from the method of using elevator start and stop as the scheduling entry. It uses time intervals as the scheduling entry, enhances the adaptability of the elevator group operating environment, reduces the frequency of power parallel switching, can adapt to the increased frequency of abnormal voltage fluctuation identification occurring during the operation of multiple elevators, and reduces the risk of efficiency loss in elevator scheduling caused by the time consumed in switching the elevator power supply lines.

[0027] The energy storage power supply finally selected can efficiently adapt to the problem of sudden surges in instantaneous power demand frequently triggered during the start-stop process of the elevator, thereby improving the energy storage power supply's ability to solve the elevator's power demand, reducing the occurrence rate of short-term oscillations and ensuring the power stability of the photovoltaic, storage and diesel microgrid.

[0028] Preferably, all undefined variables in the present invention, if not clearly defined, can be manually set thresholds.

[0029] The present invention also provides a power distribution system for a new energy elevator based on a photovoltaic, storage and diesel microgrid. The power distribution system for a new energy elevator based on a photovoltaic, storage and diesel microgrid includes: a processor, a memory, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps in the power distribution method for a new energy elevator based on a photovoltaic, storage and diesel microgrid are implemented. The power distribution system for a new energy elevator based on a photovoltaic, storage and diesel microgrid can be run on a computing device such as a desktop computer, a laptop computer, a PDA or a cloud data center. The executable system may include, but is not limited to, a processor, a memory, and a server cluster. The processor executes the computer program to run in the following system units: Energy storage power source identification unit, used to identify energy storage power sources from the photovoltaic, storage and diesel microgrid; A load matrix acquisition unit is used to monitor the load rate from each energy storage power source in real time and obtain a load rate matrix; An oscillation positive score monitoring unit, used for calculating an oscillation positive score through a load factor matrix and an output voltage; The energy storage power distribution unit is used to select the energy storage power for elevator power distribution using the oscillation positive score.

[0030] The beneficial effects of the present invention are as follows: the present invention provides a power distribution method and system for a new energy elevator based on a photovoltaic, storage and diesel microgrid. The obtained oscillation positive score is calculated by extracting features from the time dimension and the perspective of the energy storage power supply based on the construction of the load rate matrix. Therefore, it can effectively quantify the instability of voltage and frequency of different energy storage power supplies in the scenario where multiple power supplies are connected in parallel to power the elevator in the photovoltaic, storage and diesel microgrid, thereby explaining the ability of each energy storage power supply to solve the problem of meeting the instantaneous power demand of the elevator start and stop process during the elevator power supply process. Avoiding the risk of short-term oscillation caused by the temporary inconsistency of the output voltage of the battery pack and the risk of the elevator stopping suddenly, on the one hand, effectively maintains and increases the service life of the elevator components, and on the other hand, provides a safer travel escort for the passengers of the elevator, making the elevator running in the photovoltaic, storage and diesel microgrid safer. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] The above and other features of the present invention will become more obvious by describing in detail the embodiments shown in the accompanying drawings. The same reference numerals in the accompanying drawings of the present invention represent the same or similar elements. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other accompanying drawings can be obtained based on these accompanying drawings without creative work. In the accompanying drawings: Figure 1 The figure shows a flow chart of a power distribution method for a new energy elevator based on a photovoltaic-storage-diesel microgrid; Figure 2 Shown is the structure diagram of the power distribution system of a new energy elevator with energy storage and power generation based on a photovoltaic, storage and diesel microgrid. DETAILED DESCRIPTION

[0032] The following will be combined with the embodiments and drawings to clearly and completely describe the concept, specific structure and technical effects of the present invention, so as to fully understand the purpose, scheme and effect of the present invention. It should be noted that the embodiments and features in the embodiments of this application can be combined with each other without conflict.

[0033] like Figure 1 The figure shows the flow chart of the power distribution method of the new energy elevator based on the photovoltaic storage diesel microgrid. Figure 1 To illustrate the power distribution method of a new energy elevator based on a photovoltaic, diesel and energy storage microgrid according to an embodiment of the present invention, the method comprises the following steps: Identify energy storage power sources from the photovoltaic, storage and diesel microgrid; monitor the load rate of each energy storage power source in real time and obtain the load rate matrix; calculate the oscillation positive score through the load rate matrix and output voltage; and use the oscillation positive score to select energy storage power sources for elevator power distribution.

[0034] Furthermore, a method for identifying energy storage power sources from a photovoltaic-storage-diesel microgrid is: the photovoltaic-storage-diesel microgrid includes a plurality of energy storage power sources and a plurality of elevators, the number of elevators is less than or equal to the number of energy storage power sources, the energy storage power source is any one of a lithium-ion battery, a lead-acid battery, a nickel-cadmium battery or a lithium iron phosphate battery, and two or more of all the energy storage power sources are connected in parallel to supply power to the elevators.

[0035] Furthermore, the load rate is monitored in real time from each energy storage power source, and the method for obtaining the load rate matrix is: for any energy storage power source, its load rate at any moment is the ratio of the output power of the energy storage power source at that moment to its rated power; the load rate monitoring time domain DLRM is set, and the load rate monitoring time domain takes a value of 5 minutes; for the current moment, within the DLRM period in the reverse time direction, the load rates of different energy storage power sources at the same moment are taken as columns, and the load rates of the same energy storage power source at different moments are taken as rows, and a matrix is ​​constructed and recorded as a load rate matrix.

[0036] In one embodiment, the method for calculating the oscillation positive score through the load rate matrix and the output voltage is: set a time period as a monitoring period TIY, with a value of 3 hours, and record the time point of obtaining the load rate and the output voltage as a measurement point within the monitoring period; The output voltage of each measuring point is used to form a voltage sequence; the measuring point and its corresponding load rate are used to form an evaluation tuple; the evaluation tuples corresponding to different energy storage power sources at the same time are formed into a set and recorded as the evaluation set Lst{Lar}; The voltage sequence value interval is divided into three value intervals using the upper quartile and the lower quartile of the voltage sequence as the dividing points. The corresponding measurement points of each value interval in descending order are classified into three oscillation points, which are recorded as high-order oscillation points, stable oscillation points and low-order oscillation points. Specifically: obtain the upper quartile S.OTv and lower quartile X.OTv of the voltage sequence; when the element is greater than X.OTv and less than S.OTv, the corresponding measurement point is recorded as a stable oscillation point; when the element is less than or equal to X.OTv, the corresponding measurement point is recorded as a low-order oscillation point; when the element is greater than or equal to S.OTv, the corresponding measurement point is recorded as a high-order oscillation point; Then the element value ranges of all stable oscillation points, low-order oscillation points and high-order oscillation points are recorded as [min.OTv1, max.OTv1], [min.OTv2, max.OTv2], [min.OTv3, max.OTv3] respectively; Where min.OTv1, min.OTv2 and min.OTv3 are the minimum values ​​of the corresponding output voltages among all stable oscillation points, low-order oscillation points and high-order oscillation points respectively; max.OTv1, max.OTv2 and max.OTv3 are the maximum values ​​of the corresponding output voltages among all stable oscillation points, low-order oscillation points and high-order oscillation points respectively; The difference between the average value of the voltage sequence and the minimum oscillation value is recorded as the first oscillation record Fos1; wherein the minimum oscillation value is the product of the minimum voltage value in the stable oscillation point and the oscillation stable balance ratio; wherein the oscillation stable balance ratio is the ratio of the minimum voltage value of the low-order oscillation point to the maximum voltage value of the stable oscillation point; The maximum oscillation value is recorded as the product of the maximum voltage of the stable oscillation point and the oscillation abnormal balance ratio; the difference between the average value of the voltage sequence and the maximum oscillation value is recorded as the second oscillation record Fos2, and the oscillation abnormal balance ratio is the ratio of the maximum voltage of the low-order oscillation point to the maximum voltage of the high-order oscillation point; Take any measuring point as the current measuring point; calculate the oscillation positive score Ospm at the current moment according to the first oscillation record and the second oscillation record: Ospm = Edg (Lst {Lar}) × ln (Fos1 / Fos2+1) OPtv ; Wherein OPtv is the output voltage of the current measuring point, Edg(Lst{Lar}) is the load fluctuation function, and the return value obtained by the load fluctuation function Edg(Lst{Lar}) is: the standard deviation of the Manhattan distance between the evaluation tuple of the current measuring point and each element in the evaluation set, and ln() is a logarithmic function with the natural constant e as the base.

[0037] The above method of selecting energy storage power source for elevator power distribution using oscillation positive score has advantages in operation speed and operation efficiency, but the stability is reduced when the amount of data is insufficient. Therefore, another embodiment with advantages in operation precision and decision accuracy is also provided.

[0038] In another embodiment, the method for calculating the oscillation positive score through the load rate matrix and the output voltage is: set a time period as a monitoring period TIY, taking a value of 3 hours, and within the monitoring period, record the time scale of obtaining the load rate and the output voltage as a measurement point; The average value of the output voltage of each measuring point during the monitoring period is obtained and recorded as the steady-state voltage level. If the output voltage of any measuring point is greater than the steady-state voltage level, it is defined that an oscillation marking event occurs at the measuring point. The total number of oscillation marking events is recorded as Uov; the output voltage of each measuring point is normalized to the minimum and maximum and recorded as the oscillation voltage order value Osvt; the number of all measuring points in the monitoring period is recorded as SDh; the load rate of each measuring point is obtained to form an oscillation evaluation sequence; the ratio of the range of the oscillation evaluation sequence to SDh is calculated and recorded as the interval oscillation amount Loqu; Loqu is rounded up; The Euclidean distance between any element in the oscillation evaluation sequence and its previous element is the sub-spacing oscillation value Loqu.Se of the measuring point corresponding to the element, where the sub-spacing oscillation value of the last element is the average value of all sub-spacing oscillation values; In the oscillation evaluation sequence, if the sub-spacing oscillation amount corresponding to any element is greater than the spacing oscillation amount, it is defined that an abnormal oscillation event occurs at the corresponding measuring point of the traversed element, and the total number of abnormal oscillation events is recorded as Aoe, and any element in the oscillation evaluation sequence is taken as the current element; If an oscillation mark event and an abnormal oscillation event occur at the corresponding measuring point of the current element, the measuring point is defined as a positive oscillation point; the oscillation positive score Ospm at the current moment is calculated based on the positive oscillation point: ; Where j1 is the cumulative variable, svb is the number of positive oscillation points during the monitoring period, Loqu.Se j1 and Vt.Loqu.Se j1 are the sub-spacing oscillation amount of the j1th active oscillation point and the percentile of its sub-spacing oscillation amount in the sub-spacing oscillation amount of all energy storage sources at the current moment, e is a natural constant, It is a logarithmic function with Uov / Aoe+1 as the base.

[0039] The output voltage is read and recorded and stored simultaneously when the load rate is obtained.

[0040] In one embodiment, a method for selecting energy storage power sources for elevator power distribution using oscillation positive scores is as follows: in a photovoltaic-storage-diesel microgrid, the number of energy storage power sources for powering an elevator is preset and recorded as PSN; when any elevator changes from static to when an elevator carrying demand occurs, the oscillation positive scores corresponding to each energy storage power source are intercepted and a score sequence is formed, and the energy storage power source corresponding to the smallest PSN element in the score sequence is defined as the elevator's call power source, and each call power source is connected in parallel to power the elevator.

[0041] The operating logic of any elevator when it changes from being stationary to having elevator carrying demand is that the elevator starts to monitor whether the elevator carrying demand occurs from the stationary standby state. When the elevator carrying demand never occurs at a certain moment and changes to the elevator carrying demand occurring, the energy storage power supply for powering the elevator is selected.

[0042] This embodiment can select the elevator power supply in real time, but this method is not stable for the scenario of multiple elevators running, because the frequency of identifying abnormal voltage fluctuations in the operation of multiple elevators increases, the frequency of calling power supply replacement will be very high, the time consumed in the elevator power line switching will increase significantly, and the efficiency of elevator scheduling will be reduced in long-term operation, so it is more suitable for the scenario with a small number of elevators. At the same time, the following embodiments are provided for the scenario of multiple elevators running.

[0043] In another embodiment, a method for selecting energy storage power sources for elevator power distribution using oscillation positive scores is as follows: in a solar-storage-diesel microgrid, the number of energy storage power sources for powering one elevator is preset and recorded as GSN; an energy storage power source is selected for the elevator every 0.5 hours, and the energy storage power source corresponding to the smallest GSN element in the score sequence is defined as the call power source for all elevators, and each call power source is connected in parallel to power the elevator.

[0044] In this embodiment, instead of using the elevator start and stop as the scheduling entry, the time interval is used as the scheduling entry, which enhances the adaptability of the elevator group operating environment, reduces the frequency of power parallel switching, can adapt to the increased frequency of identifying abnormal voltage fluctuations that occur during the operation of multiple elevators, and reduces the risk of efficiency loss in elevator scheduling caused by the time consumed in switching the elevator power supply lines.

[0045] The embodiment of the present invention provides a power distribution system for a new energy elevator based on a photovoltaic, diesel and energy storage microgrid, such as Figure 2 The figure shows a structure diagram of the power distribution system of the energy storage and power generation new energy elevator based on the photovoltaic, storage and diesel microgrid of the present invention. The power distribution system of the energy storage and power generation new energy elevator based on the photovoltaic, storage and diesel microgrid of this embodiment includes: a processor, a memory, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps in the above-mentioned power distribution method embodiment of the energy storage and power generation new energy elevator based on the photovoltaic, storage and diesel microgrid are implemented.

[0046] The system comprises: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to run in the following units of the system: Energy storage power source identification unit, used to identify energy storage power sources from the photovoltaic, storage and diesel microgrid; A load matrix acquisition unit is used to monitor the load rate from each energy storage power source in real time and obtain a load rate matrix; An oscillation positive score monitoring unit, used for calculating an oscillation positive score through a load factor matrix and an output voltage; The energy storage power distribution unit is used to select the energy storage power for elevator power distribution using the oscillation positive score.

[0047] The power distribution system of the energy storage and power generation new energy elevator based on the photovoltaic, storage and diesel microgrid can be run in computing devices such as desktop computers, laptops, PDAs or cloud servers. The power distribution system of the energy storage and power generation new energy elevator based on the photovoltaic, storage and diesel microgrid, the operating system may include, but is not limited to, processors and memories. Those skilled in the art can understand that the example is only an example of the power distribution system of the energy storage and power generation new energy elevator based on the photovoltaic, storage and diesel microgrid, and does not constitute a limitation on the power distribution system of the energy storage and power generation new energy elevator based on the photovoltaic, storage and diesel microgrid, and may include more or fewer components than the example, or a combination of certain components, or different components. For example, the power distribution system of the energy storage and power generation new energy elevator based on the photovoltaic, storage and diesel microgrid may also include input and output devices, network access devices, buses, etc.

[0048] The processor may be a central processing unit (CPU), or 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 devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor, etc. The processor is the control center of the distribution system operation system of the energy storage and power generation new energy elevator based on the photovoltaic, storage and diesel microgrid, and uses various interfaces and lines to connect the various parts of the distribution system operation system of the energy storage and power generation new energy elevator based on the photovoltaic, storage and diesel microgrid.

[0049] The memory can be used to store the computer program and / or module, and the processor realizes various functions of the power distribution system of the energy storage and power generation new energy elevator based on the photovoltaic, storage and diesel microgrid by running or executing the computer program and / or module stored in the memory, and calling the data stored in the memory. The memory can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, an application required for at least one function (such as a sound playback function, an image playback function, etc.); the data storage area can store data created according to the use of the mobile phone (such as audio data, a phone book, etc.). In addition, the memory can include a high-speed random access memory, and can also include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), at least one disk storage device, a flash memory device, or other volatile solid-state storage devices.

[0050] Although the description of the present invention has been quite detailed and has been described in particular with respect to several described embodiments, it is not intended to be limited to any of these details or embodiments or any particular embodiment, so as to effectively cover the intended scope of the present invention. In addition, the present invention is described above with the embodiments foreseeable by the inventors, and its purpose is to provide a useful description, and those non-substantial changes to the present invention that are not currently foreseen may still represent equivalent changes of the present invention.

Claims

1. A power distribution method for a new energy elevator based on a photovoltaic-diesel microgrid energy storage power generation system, characterized in that: The method comprises the following steps: identifying energy storage power sources from a photovoltaic-storage-diesel microgrid; monitoring the load rate from each energy storage power source in real time to obtain a load rate matrix; calculating an oscillation positive score through the load rate matrix and the output voltage; selecting an energy storage power source for elevator power distribution using the oscillation positive score; when calculating the oscillation positive score through the load rate matrix and the output voltage, forming a voltage sequence with the output voltage and dividing each time point into a high-order oscillation point, a stable oscillation point and a low-order oscillation point, calculating a first oscillation record and a second oscillation record according to the division result, and constructing an oscillation positive score at the current moment according to the first oscillation record and the second oscillation record.

2. The power distribution method of the energy storage and power generation new energy elevator based on the photovoltaic and diesel microgrid according to claim 1 is characterized in that: The method for identifying energy storage power sources from a photovoltaic-storage-diesel microgrid is: the photovoltaic-storage-diesel microgrid includes several energy storage power sources and several elevators, the number of elevators is less than or equal to the number of energy storage power sources, the energy storage power source is any one of lithium-ion batteries, lead-acid batteries, nickel-cadmium batteries or lithium iron phosphate batteries, and two or more of all the energy storage power sources are connected in parallel to supply power to the elevators.

3. The power distribution method of the energy storage and power generation new energy elevator based on the photovoltaic-diesel microgrid according to claim 1 is characterized in that: The method of obtaining the load rate matrix by monitoring the load rate of each energy storage power source in real time is as follows: for any energy storage power source, its load rate at any moment is the ratio of the output power of the energy storage power source at that moment to its rated power; setting the load rate monitoring time domain DLRM, the load rate monitoring time domain value range is DLRM∈[3,10] minutes; for the current moment, within the DLRM period in the reverse time direction, with the load rates of different energy storage power sources at the same moment as columns and the load rates of the same energy storage power source at different moments as rows, constructing a matrix and recording it as the load rate matrix.

4. The power distribution method of the energy storage and power generation new energy elevator based on the photovoltaic-storage-diesel microgrid according to claim 1 is characterized in that: The method of calculating the oscillation positive score through the load rate matrix and the output voltage is as follows: the output voltage of each measuring point constitutes a voltage sequence, and the measuring point and its corresponding load rate constitute an evaluation tuple; the evaluation tuples corresponding to different energy storage power sources at the same time constitute a set and record it as the evaluation set Lst{Lar}; The voltage sequence value interval is divided into three value intervals using the upper quartile and the lower quartile of the voltage sequence as the dividing points, and the measurement points are classified into three types of oscillation points, which are recorded as high-order oscillation points, stable oscillation points and low-order oscillation points. The difference between the average value of the voltage sequence and the minimum oscillation value is recorded as the first oscillation record Fos1; the minimum oscillation value is the product of the minimum voltage value in the stable oscillation point and the oscillation stable balance ratio; the oscillation stable balance ratio is the ratio of the minimum voltage value of the low-order oscillation point to the maximum voltage value of the stable oscillation point; The maximum oscillation value is recorded as the product of the maximum voltage of the stable oscillation point and the oscillation abnormality balance ratio; the difference between the average value of the voltage sequence and the maximum oscillation value is recorded as the second oscillation record Fos2, and the oscillation abnormality balance ratio is the ratio of the maximum voltage of the low-order oscillation point to the maximum voltage of the high-order oscillation point; the oscillation positive score at the current moment is constructed based on the first oscillation record and the second oscillation record.

5. The power distribution method for a new energy elevator based on a photovoltaic-storage-diesel microgrid according to claim 1 is characterized in that: The method of selecting energy storage power sources for elevator power distribution using oscillation positive scores is as follows: in a solar-storage-diesel microgrid, the number of energy storage power sources for powering an elevator is preset and recorded as PSN; when any elevator changes from static to when elevator transportation demand occurs, the oscillation positive scores corresponding to each energy storage power source are intercepted and a score sequence is formed, and the energy storage power source corresponding to the smallest PSN element in the score sequence is defined as the elevator's call power source, and each call power source is connected in parallel to power the elevator.

6. The power distribution method of the energy storage and power generation new energy elevator based on the photovoltaic and diesel microgrid according to claim 1 is characterized in that: The method of using the oscillation positive score to select the energy storage power supply for elevator power distribution is: in the solar-storage-diesel microgrid, the number of energy storage power supplies for powering one elevator is preset and recorded as GSN; the energy storage power supply is selected for the elevator every 0.25 hours to 2 hours, and the energy storage power supply corresponding to the smallest GSN element in the score sequence is defined as the call power supply for all elevators, and each call power supply is connected in parallel to power the elevator.

7. The power distribution system of the new energy elevator based on the photovoltaic, diesel and energy storage microgrid is characterized by: The power distribution system of the energy storage and power generation new energy elevator based on the photovoltaic, storage and diesel microgrid includes: a processor, a memory and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps in the power distribution method of the energy storage and power generation new energy elevator based on the photovoltaic, storage and diesel microgrid described in any one of claims 1 to 6 are implemented. The power distribution system of the energy storage and power generation new energy elevator based on the photovoltaic, storage and diesel microgrid runs on a desktop computer, a laptop computer, a PDA or a computing device in a cloud data center.

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