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

Abstract

The present invention belongs to the technical fields of new energy and elevator power distribution, and proposes a power distribution method and system for a new energy elevator with energy storage power generation based on a photovoltaic-storage-diesel microgrid. Specifically: First, identify the energy storage power sources from the photovoltaic-storage-diesel microgrid, monitor the load rates of each energy storage power source in real time to obtain a load rate matrix, then calculate the oscillation positive fraction through the load rate matrix and the output voltage, and finally use the oscillation positive fraction to select the energy storage power source for elevator power distribution. Explain the solution capabilities of each energy storage power source when facing the problem of meeting the instantaneous power demand during the start-stop process of the elevator. Avoid the risk of short-term oscillations caused by short-term inconsistencies in the output voltage of the battery pack and the risk of sudden elevator stops. On the one hand, effectively maintain and increase the service life of elevator components, and on the other hand, provide a safer travel escort for elevator passengers.

Description

Technical Field

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

[0002] A photovoltaic energy storage diesel microgrid is an independent power supply system integrating photovoltaic power generation, an energy storage system, and a diesel engine. It uses photovoltaics to reduce fuel consumption, and the energy storage system smooths power fluctuations to improve power supply stability. Connecting an elevator to a photovoltaic energy storage diesel microgrid can not only effectively ensure the daily passage efficiency of a building, but also provide an evacuation function and safety guarantee for personnel scheduling in emergency scenarios. In the application situation where the elevator is disconnected from the external power grid, the elevator is prone to sudden stops during operation. Such sudden stops are often due to the sharp increase in instantaneous power demand during the start and stop of the elevator, and in the case of a single battery supplying power, the power output capacity and voltage fluctuation of the energy storage device cannot be guaranteed. As a result, transient current surges are likely to occur and trigger overcurrent protection. Currently, there are technical solutions in this field for elevator power supply modes where multiple power sources, such as multiple battery packs, work in parallel to solve the above problems, which significantly improves the total power output capacity and can meet the instantaneous power demand during the start and stop of the elevator. However, this method often brings short-term oscillation phenomena in actual applications, and even still triggers sudden stops of the elevator due to overcurrent protection. This is because there are transient response defects in the parallel operation mode of multiple battery packs. The occurrence of such transient response defects is because the photovoltaic energy storage diesel microgrid itself does not independently serve the elevator, but serves a large number of loads or power supply devices in the photovoltaic energy storage diesel microgrid. The power demands of these loads are dynamically changing. Especially at the moment when the elevator starts and stops, other loads may also be adjusting their power. The power fluctuations of multiple loads will affect the voltage and frequency stability of the entire microgrid. As a result, the output currents and voltages of each battery pack may be briefly inconsistent, thus triggering short-term oscillation phenomena. The transient response problem of the microgrid energy storage system is revealed in the literature (Gao Jianxun. Research on the short-circuit characteristics of the energy storage inverter terminal in a photovoltaic energy storage microgrid [J]. Environmental Technology, 2022, 40(6): 151 - 156). Such short-term oscillations will bring unexpected load pressures to the traction system and braking system of the elevator, which will not only affect the service life of elevator components, but also pose safety hazards to elevator passengers. Therefore, there is an urgent need for a power distribution method and system for a new energy elevator with energy storage power generation based on a photovoltaic energy storage diesel microgrid. Summary of the Invention

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

[0004] The "energy storage power generation new energy elevator" refers to an elevator operating in an energy storage power generation new energy application scenario, and this method is for elevator power supply control aiming at the problem that the output currents and voltages of each battery pack in the energy storage power generation new energy scenario may be briefly inconsistent.

[0005] The elevator power supply regulation 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 normally powered. This method is considered based on the frequency of the sudden increase in instantaneous power demand during elevator operation and the transient response problem in battery applications. Other elevator power indicators are not considered as additional variables. For example, the current and voltage of elevator operation. The basic standards of such elevator operation can be judged by thresholds and will not be elaborated here.

[0006] To achieve the above object, according to one aspect of the present invention, there is provided a power distribution method for an energy storage power generation new energy elevator based on a photovoltaic energy storage diesel microgrid, and the method includes the following steps:

[0007] Identify energy storage power sources from the photovoltaic energy storage diesel microgrid; monitor the load factor of each energy storage power source in real time to obtain a load factor matrix; calculate the oscillation positive fraction through the load factor matrix and the output voltage; use the oscillation positive fraction to select an energy storage power source for elevator power distribution.

[0008] Further, the method for identifying energy storage power sources from the photovoltaic energy storage diesel microgrid is: the photovoltaic energy storage diesel microgrid includes several energy storage power sources and several elevators, and 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. Two or more of all the energy storage power sources are connected in parallel to supply power to the elevator.

[0009] The energy storage power source is used to provide power for each device in the microgrid when power cannot be obtained from the external power grid. The energy storage power source not only provides power for the elevators in the photovoltaic energy storage diesel microgrid, but also provides power for other load devices or power supply devices.

[0010] Elevators require extremely high instantaneous power during start-up and shutdown, usually more than 3 times the rated power. Therefore, there is a risk of power output shortage provided by a single energy storage power source. At the same time, when a single energy storage power source frequently responds to high power demands, problems such as overload, high temperature and accelerated aging are likely to occur. Therefore, it is stated that two or more of the energy storage power sources are connected in parallel to supply power to the elevator.

[0011] Further, the method for real-time monitoring of the load rate of each energy storage power supply and obtaining the load rate matrix is as follows: For any energy storage power supply, the load rate at any moment is the ratio of the output power of the energy storage power supply at that moment to its rated power; set the load rate monitoring time domain DLRM, 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, taking the load rates of different energy storage power supplies at the same moment as columns and the load rates of the same energy storage power supply at different moments as rows, construct a matrix and denote it as the load rate matrix.

[0012] The construction of the load rate matrix here provides a data structure basis for subsequent extraction of variable features from the perspectives of time dimension and energy storage power supply respectively.

[0013] Further, the method for calculating the oscillation positive fraction through the load rate matrix and the output voltage is as follows: Set a time period as the monitoring period TIY, TIY ∈ [2, 6] hours, and record the time points for obtaining the load rate and the output voltage within the monitoring period as measurement points;

[0014] Among them, the output voltage is not the real-time monitoring value, but should be the average value of each output voltage measured between two measurement points.

[0015] Construct a voltage sequence from the output voltages of each measurement point; form an evaluation binary group with the measurement point and its corresponding load rate; here, the measurement point is the relative time magnitude in the time monitoring period, and the closer it is to the current time, the smaller the time measurement point value; form a set with the evaluation binary groups corresponding to different energy storage power supplies at the same moment and denote it as the evaluation set Lst{Lar};

[0016] Divide the value range of the voltage sequence into three value ranges with the upper quartile and the lower quartile of the voltage sequence as the dividing points, and classify the measurement points corresponding to each descending value range into three types of oscillation points, denoted as high-order oscillation points, stable oscillation points, and low-order oscillation points;

[0017] Specifically: Obtain the upper quartile S.OTv and the 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 denoted as a stable oscillation point; when the element is less than or equal to X.OTv, the corresponding measurement point is denoted as a low-order oscillation point; when the element is greater than or equal to S.OTv, the corresponding measurement point is denoted as a high-order oscillation point;

[0018] Then the element value ranges of all stable oscillation points, low-order oscillation points, and high-order oscillation points are denoted as [min.OTv1, max.OTv1], [min.OTv2, max.OTv2], and [min.OTv3, max.OTv3] respectively;

[0019] Among them, 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.

[0020] The difference between the average value of the voltage sequence and the minimum oscillation value is denoted as the first oscillation record Fos1; where the minimum oscillation value is the product of the minimum voltage value among the stable oscillation points and the oscillation stable balance ratio; where the oscillation stable balance ratio is the ratio of the minimum voltage value of the low-order oscillation points to the maximum voltage value of the stable oscillation points.

[0021] Denote the maximum oscillation value as the product of the maximum voltage value of the stable oscillation points and the oscillation abnormal balance ratio; the difference between the average value of the voltage sequence and the maximum oscillation value is denoted as the second oscillation record Fos2, and the oscillation abnormal balance ratio is the ratio of the maximum voltage value of the low-order oscillation points to the maximum voltage value of the high-order oscillation points.

[0022] 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 during the monitoring period and combined with the characteristic values of the stable oscillation points, low-order oscillation points, and high-order oscillation points for calculation. Among them, the oscillation stable balance ratio is the ratio of min.OTv2 to max.OTv1, corresponding to the potential for the low-order oscillation points to recover to the stable oscillation points; the oscillation abnormal balance ratio is the ratio of max.OTv2 to max.OTv3, corresponding to the risk of the low-order oscillation points evolving into high-order oscillation points.

[0023] Here, the first oscillation record measures the difference between the average voltage and the value related to the lower voltage fluctuations during stable operation. A smaller first oscillation record indicates that the system has small fluctuations and the output voltage is stable, while a larger first oscillation record indicates that the system is in a stronger basic fluctuation state, pointing to instability; the second oscillation record measures the difference between the average voltage and the value related to the higher voltage fluctuations during stable operation. A larger second oscillation record indicates that even the lower extreme voltage is higher than the higher extreme voltage, thus indicating that the unit will not experience excessive voltage peaks during typical operation, pointing to system stability; the acquisition of the first oscillation record and the second oscillation record provides a real-time reference basis for the stability assessment of the power distribution system of the energy storage power generation new energy elevator based on the photovoltaic-storage-diesel microgrid.

[0024] Take any measurement point as the current measurement point; calculate the oscillation positive fraction 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; where OPtv is the output voltage of the current measurement point, Edg(Lst{Lar}) is the load fluctuation function, and the return value obtained through the load fluctuation function Edg(Lst{Lar}) is: the standard deviation of the Manhattan distance between the evaluation binary group of the current measurement point and each element in the evaluation set, and ln() is the logarithmic function with the natural constant e as the base.

[0025] The principle of calculating the oscillation positive score here is to evaluate the specificity of the operating states of different energy storage units at the same moment through the load fluctuation function. The larger the value, the lower the stability of the system. In the logarithm construction, the base e of the natural logarithm is adopted for its universality in simulating natural growth and decay processes. Since the variation range between the first oscillation record and the second oscillation record is very large, it is necessary to use the 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 correlation measure of the severity of the imbalance in the system voltage output stability. By using the output voltage as a weighting factor, if the current voltage is high, the contribution of the oscillation term factor to the total score will be amplified, and conversely, the contribution of the oscillation term factor will be suppressed. A high voltage value implies a more fully loaded voltage demand state. At this time, if oscillations occur, the instability of the energy storage power supply in voltage and frequency will be more significant. In contrast, for the same level of oscillation risk at a relatively low voltage, the severity of the impact is relatively low and generally does not indicate a serious fault.

[0026] Since the calculation of the oscillation positive score requires processing the first oscillation record and the second oscillation record, it can effectively quantify the risks caused by the instability of different energy storage power supplies in voltage and frequency in the scenario of multiple power sources changing from parallel to elevator power supply in the optical storage and diesel microgrid. However, the acquisition of the stable oscillation point, low-order oscillation point, and high-order oscillation point is overly 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 result to deviate from the true oscillation risk and resulting in decision-making deviations. Especially in periods when the measurement points are dense or unevenly distributed, the problem becomes more prominent. However, the existing technologies cannot effectively compensate for this deviation phenomenon. To eliminate this influence, the present invention proposes a more preferred solution as follows:

[0027] Preferably, the method for calculating the oscillation positive score through the load rate matrix and the output voltage is:

[0028] Set a time period as the monitoring period TIY, TIY ∈ [2, 10] hours. During the monitoring period, record the time scale for obtaining the load rate and the output voltage as the measurement points;

[0029] Obtain the average value of the output voltages of each measurement point in the monitoring period as the steady-state voltage level. If the output voltage of any measurement point is greater than the steady-state voltage level, define that the measurement point has an oscillation marking event;

[0030] The total number of oscillation marking events is denoted as Uov; the output voltages of each measuring point are subjected to min-max normalization and denoted as the oscillation voltage order value Osvt; the number of all measuring points during the monitoring period is denoted as SDh; the load rates of each measuring point are obtained to form an oscillation evaluation sequence; the ratio of the range of the oscillation evaluation sequence to SDh is calculated and denoted as the interval oscillation amount Loqu; Loqu is rounded up.

[0031] The Euclidean distance between any element in the oscillation evaluation sequence and its previous element is the sub-interval oscillation amount Loqu.Se of the corresponding measuring point of this element, and the sub-interval oscillation amount of the last element is the average value of all sub-interval oscillation amounts.

[0032] The principle of obtaining the sub-interval oscillation amount here is actually to obtain it by calculating the absolute value of the difference between any element in the oscillation evaluation sequence and its next element. The sub-interval oscillation amount directly reflects the change amount of the load rate between adjacent measuring points, and is an embodiment of the potential risk of short-term oscillation and the risk of elevator emergency stop. The sub-interval oscillation amount quantifies the dynamic stability of the system during the monitoring period.

[0033] If the sub-interval oscillation amount is small, it indicates that the load rate changes smoothly and the stability is high. If the sub-interval oscillation amount is large, it indicates that the load rate changes violently and the stability is low. Therefore, the acquisition of the sub-interval oscillation amount can evaluate the stability of the power distribution system of the energy storage power generation new energy elevator based on the photovoltaic-battery-diesel microgrid on different time scales.

[0034] In the oscillation evaluation sequence, if the sub-interval oscillation amount corresponding to any element is greater than the interval oscillation amount, it is defined that the measuring point corresponding to the traversed element has an abnormal oscillation event. The total number of abnormal oscillation events is denoted as Aoe, and any element in the oscillation evaluation sequence is used as the current element.

[0035] If the measuring point corresponding to the current element has an oscillation marking event and an abnormal oscillation event, then this measuring point is defined as an active oscillation point; the oscillation active score Ospm at the current moment is calculated according to the active oscillation point:

[0036] ;

[0037] where j1 is the cumulative variable, svb is the number of active oscillation points during the monitoring period, Loqu.Se j1 and Vt.Loqu.Se j1 are respectively the sub-interval oscillation amount of the j1th active oscillation point and the percentile of its sub-interval oscillation amount among the sub-interval oscillation amounts of all energy storage power sources at the current moment, e is the natural constant, is the logarithmic function with Uov / Aoe + 1 as the base.

[0038] The calculation principle of the oscillation positive fraction lies in that the frequency of the voltage higher than the steady-state level and the frequency of the drastic change in the load rate are represented by Uov and Aoe respectively. Therefore, the base of the logarithmic term aims to adjust the sensitivity of the logarithmic function according to the correlation between the voltage fluctuation and the drastic change in the load, so as to reflect the possibility that the voltage fluctuation received by the elevator group in the PV-diesel-battery microgrid occurs in the time interval without drastic change in the load. The larger the value of the logarithmic term, the more problems there are with the voltage regulation function of the energy storage power supply itself or the microgrid. In the summation term on the right side of the formula, the numerator reflects the change range of the load rate between adjacent measuring points, and its feedback result is the intensity requirement of the transient response ability of the energy storage power supply. The larger the change range, the stronger the requirement for the transient response ability and the greater the risk of causing voltage fluctuation. The denominator term reflects the severity of the change in the load rate of the current energy storage power supply relative to other energy storage power supplies, which is a dynamic relative index, and the natural constant is used as the failure conversion weight for the positive oscillation point. Since the logarithmic term is usually negative and the summation term is usually positive, the positive and negative attributes of the result depend on the value of the logarithmic term. When the voltage fluctuation amplitude is large, the negative characteristic of the logarithmic term is stronger, and at the same time, there is a significant relative drastic change in the load rate between the power supplies, the absolute value of the oscillation positive fraction will be larger, indicating a higher instability of the energy storage power supply. According to the above calculation principle, further select the energy storage power supply with the smallest oscillation positive fraction to supply power to the elevator, so as to avoid the risk of short-term oscillation caused by the short-term inconsistency of the output voltage of the battery pack.

[0039] Among them, the output voltage is read, recorded and stored simultaneously at the moment when the load rate is obtained.

[0040] The above two methods of selecting the energy storage power supply for elevator power distribution using the oscillation positive fraction are alternative solutions. The former has the advantages of operation speed and operation efficiency, but the stability decreases when the data volume is insufficient. The latter has the advantages of operation accuracy and decision-making accuracy, but the operation efficiency is low, and there will be a lag when the data bandwidth is large.

[0041] Beneficial effects: Since the obtained oscillation positive fraction 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, it can effectively quantify the instability performance of different energy storage power supplies in terms of voltage and frequency in the scenario of multiple power supplies in the PV-diesel-battery microgrid being connected in parallel to supply power to the elevator, thus explaining the solution ability of each energy storage power supply when facing the problem of meeting the instantaneous power demand during the start-stop process of the elevator.

[0042] Furthermore, the method of using the oscillating positive fraction to select the energy storage power supply for elevator power distribution is as follows: in the PV-diesel-battery microgrid, preset the number of energy storage power supplies for a single elevator and denote it as PSN; when any elevator changes from a stationary state to a state where elevator transportation is required, intercept the corresponding oscillating positive fractions of each energy storage power supply to form a fraction sequence, define the energy storage power supplies corresponding to the smallest PSN elements in the fraction sequence as the power supplies called by the elevator, and connect the called power supplies in parallel to supply power to the elevator.

[0043] The operating logic when any elevator changes from a stationary state to a state where elevator transportation is required is that the elevator starts monitoring whether elevator transportation is required from the stationary standby state. When at a certain moment, the elevator transportation requirement changes from not occurring to occurring, the energy storage power supply for the elevator starts to be selected.

[0044] This method can select the elevator power supply in real time. However, this method is relatively unstable for the scenario of multiple elevator operations because the abnormal recognition frequency of voltage fluctuations during multiple elevator operations increases, and the replacement frequency of the called power supplies will be very high. The time consumed in the elevator power line switching increases significantly, and the efficiency of elevator scheduling will be reduced during long-term operation. Therefore, it is more suitable for scenarios with a small number of elevators.

[0045] Preferably, the method of using the oscillating positive fraction to select the energy storage power supply for elevator power distribution is as follows: in the PV-diesel-battery microgrid, preset the number of energy storage power supplies for a single elevator and denote it as GSN; select the energy storage power supply for the elevator every 0.25 hours to 2 hours, define the energy storage power supplies corresponding to the smallest GSN elements in the fraction sequence as the power supplies called by all elevators, and connect the called power supplies in parallel to supply power to the elevator.

[0046] This method is different from using the elevator start and stop as the scheduling entry. It uses the time interval as the scheduling entry, enhances the adaptability of the elevator group operating environment, reduces the frequency of power supply parallel switching operations, can adapt to the increasing abnormal recognition frequency of voltage fluctuations during multiple elevator operations, and reduces the risk of efficiency loss in elevator scheduling caused by the time consumed in elevator power line switching.

[0047] The finally selected energy storage power supply can efficiently adapt to the sudden increase in instantaneous power demand frequently triggered during the elevator start and stop process, thereby enhancing the ability of the energy storage power supply to solve the electrical energy demand of the elevator during the power supply process, reducing the incidence of short-term oscillation phenomena, and ensuring the power stability of the PV-diesel-battery microgrid.

[0048] Preferably, all variables not defined in the present invention, if not clearly defined, can be manually set thresholds.

[0049] The present invention also provides a power distribution system for a new energy elevator with energy storage power generation based on a photovoltaic-storage-diesel microgrid. The power distribution system for the new energy elevator with energy storage power generation based on the photovoltaic-storage-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, it implements the steps in the power distribution method for the new energy elevator with energy storage power generation based on the photovoltaic-storage-diesel microgrid. The power distribution system for the new energy elevator with energy storage power generation based on the photovoltaic-storage-diesel microgrid can run on computing devices such as desktop computers, laptop computers, palmtop computers, or cloud data centers. The operable system may include, but is not limited to, a processor, a memory, and a server cluster. The processor executes the computer program and runs in the following units of the system:

[0050] An energy storage power supply identification unit for identifying an energy storage power supply from the photovoltaic-storage-diesel microgrid;

[0051] A load matrix capture unit for monitoring the load rate in real time from each energy storage power supply to obtain a load rate matrix;

[0052] An oscillation positive fraction monitoring unit for calculating the oscillation positive fraction through the load rate matrix and the output voltage;

[0053] An energy storage power supply power distribution unit for selecting an energy storage power supply for elevator power distribution by using the oscillation positive fraction.

[0054] 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 with energy storage power generation based on a photovoltaic-storage-diesel microgrid. The obtained oscillation positive fraction is calculated by respectively 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 performance of different energy storage power supplies in terms of voltage and frequency in the scenario where multiple power supplies in the photovoltaic-storage-diesel microgrid are connected in parallel to supply power to the elevator, thereby explaining the solution capabilities of each energy storage power supply when facing the problem of meeting the instantaneous power demand during the start-stop process of the elevator. It avoids the risk of short-term oscillations caused by short-term inconsistencies in the output voltage of the battery pack and the risk of sudden elevator stops. On the one hand, it effectively maintains and increases the service life of elevator components. On the other hand, it provides a safer travel escort for elevator passengers, making the elevator operating in the photovoltaic-storage-diesel microgrid more secure. Description of the Drawings

[0055] By elaborating on the embodiments shown in conjunction with the drawings, the above and other features of the present invention will become more obvious. The same reference numerals in the drawings of the present invention represent the same or similar elements. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings. In the drawings:

[0056] Figure 1 The figure shows a flowchart of the power distribution method for a new energy elevator with energy storage power generation based on a photovoltaic energy storage diesel microgrid;

[0057] Figure 2 The figure shows the structure diagram of the power distribution system for a new energy elevator with energy storage power generation based on a photovoltaic energy storage diesel microgrid. Specific implementation manners

[0058] The following will clearly and completely describe the concept, specific structure and technical effects generated by the present invention in combination with embodiments and drawings, so as to fully understand the purpose, solution and effects of the present invention. It should be noted that, without conflict, the embodiments in the present application and the features in the embodiments can be combined with each other.

[0059] As Figure 1 The figure shows a flowchart of the power distribution method for a new energy elevator with energy storage power generation based on a photovoltaic energy storage diesel microgrid. The following will describe the power distribution method for a new energy elevator with energy storage power generation based on a photovoltaic energy storage diesel microgrid according to the embodiments of the present invention. The method includes the following steps: Figure 1 Identify the energy storage power sources from the photovoltaic energy storage diesel microgrid; monitor the load rates of each energy storage power source in real time to obtain a load rate matrix; calculate the oscillation positive fraction through the load rate matrix and the output voltage; use the oscillation positive fraction to select the energy storage power source for elevator power distribution.

[0060] Further, the method for identifying the energy storage power sources from the photovoltaic energy storage diesel microgrid is as follows: There are several energy storage power sources and several elevators in the photovoltaic energy storage diesel microgrid. 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. Two or more of all the energy storage power sources are connected in parallel to supply power to the elevator.

[0061] Further, the method for monitoring the load rates of each energy storage power source in real time to obtain a load rate matrix is as follows: For any energy storage power source, the 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; set the load rate monitoring time domain DLRM, and the value of the load rate monitoring time domain is 5 minutes; for the current moment, within the DLRM period in its reverse time direction, construct a matrix 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, and denote it as the load rate matrix.

[0062] In one embodiment, the method for calculating the oscillation positive fraction through the load rate matrix and the output voltage is as follows: Set a time period as the monitoring period TIY, with a value of 3 hours. Denote the time points for obtaining the load rate and the output voltage within the monitoring period as measurement points;

[0063]

[0064] ​Construct a voltage sequence from the output voltages of each measurement point; form an evaluation binary tuple with the measurement point and its corresponding load rate; form a set of evaluation binary tuples corresponding to different energy storage power sources at the same moment and denote it as the evaluation set Lst{Lar};

[0065] Divide the value range of the voltage sequence into three value ranges with the upper quartile and lower quartile of the voltage sequence as the dividing points. Each measurement point classified according to the descending value range is classified into three types of oscillation points, denoted as high-order oscillation points, stable oscillation points, and low-order oscillation points;

[0066] 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, its corresponding measurement point is denoted as a stable oscillation point; when the element is less than or equal to X.OTv, its corresponding measurement point is denoted as a low-order oscillation point; when the element is greater than or equal to S.OTv, its corresponding measurement point is denoted as a high-order oscillation point;

[0067] Then the element value ranges of all stable oscillation points, low-order oscillation points, and high-order oscillation points are denoted as [min.OTv1, max.OTv1], [min.OTv2, max.OTv2], and [min.OTv3, max.OTv3] respectively;

[0068] 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;

[0069] The difference between the average value of the voltage sequence and the minimum oscillation value is denoted as the first oscillation record Fos1; where the minimum oscillation value is the product of the minimum voltage value in the stable oscillation points and the oscillation stability balance ratio; where the oscillation stability balance ratio is the ratio of the minimum voltage value of the low-order oscillation points to the maximum voltage value of the stable oscillation points;

[0070] Denote the maximum oscillation value as the product of the maximum voltage value of the stable oscillation points and the oscillation abnormal balance ratio; the difference between the average value of the voltage sequence and the maximum oscillation value is denoted as the second oscillation record Fos2, and the oscillation abnormal balance ratio is the ratio of the maximum voltage value of the low-order oscillation points to the maximum voltage value of the high-order oscillation points;

[0071] Take any measurement point as the current measurement 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; where OPtv is the output voltage of the current measurement point, Edg(Lst{Lar}) is the load fluctuation function, and the return value obtained through the load fluctuation function Edg(Lst{Lar}) is: the standard deviation of the Manhattan distances between the evaluation binary group of the current measurement point and each element in the evaluation set, and ln() is the logarithmic function with the natural constant e as the base.

[0072] The above method for selecting an energy storage power supply for elevator power distribution using the oscillation positive fraction has advantages in operation speed and operation efficiency, but the stability decreases in the case of insufficient data volume. Therefore, another embodiment with advantages in operation accuracy and decision-making accuracy is also provided.

[0073] In another embodiment, the method for calculating the oscillation positive fraction through the load rate matrix and the output voltage is as follows: Set a time period as the monitoring period TIY, with a value of 3 hours. During the monitoring period, the time scale for obtaining the load rate and the output voltage is recorded as the measurement point;

[0074] Obtain the average value of the output voltages of each measurement point in the monitoring period and record it as the steady-state voltage level. If the output voltage of any measurement point is greater than the steady-state voltage level, then define that the measurement point has an oscillation marking event;

[0075] The total number of oscillation marking events is recorded as Uov; perform min-max normalization on the output voltages of each measurement point and record it as the oscillation voltage order value Osvt; record the total number of all measurement points in the monitoring period as SDh; obtain the load rates of each measurement point to form an oscillation evaluation sequence; calculate the ratio of the range of the oscillation evaluation sequence to SDh and record it as the interval oscillation amount Loqu; perform ceiling processing on Loqu;

[0076] The Euclidean distance between any element in the oscillation evaluation sequence and its previous element is the sub-interval oscillation amount Loqu.Se of the measurement point corresponding to the element, where the sub-interval oscillation amount of the last element is the average value of all sub-interval oscillation amounts;

[0077] In the oscillation evaluation sequence, if the sub-interval oscillation amount corresponding to any element is greater than the interval oscillation amount, then define that the measurement point corresponding to the traversed element has an abnormal oscillation event. The total number of abnormal oscillation events is recorded as Aoe, and any element in the oscillation evaluation sequence is used as the current element;

[0078] If the measurement point corresponding to the current element has an oscillation marking event and an abnormal oscillation event, then define the measurement point as a positive oscillation point; calculate the oscillation positive fraction Ospm at the current moment according to the positive oscillation point:

[0079] ;

[0080] where j1 is the cumulative variable, svb is the number of positive oscillation points in the monitoring period, Loqu.Sej1 and Vt.Loqu.Se j1 They are respectively the sub-spacing oscillation amount of the j1-th positive oscillation point and the percentile of its sub-spacing oscillation amount among the sub-spacing oscillation amounts of all energy storage power supplies at the current moment. e is the natural constant, is a logarithmic function with Uov / Aoe + 1 as the base.

[0081] Among them, the output voltage is read, recorded, and stored simultaneously at the moment when the load rate is obtained.

[0082] In one embodiment, the method of using the oscillation positive fraction to select energy storage power supplies for elevator power distribution is as follows: in the photovoltaic-storage-diesel microgrid, preset the number of energy storage power supplies for a single elevator and denote it as PSN; when any elevator changes from a stationary state to a state with an elevator transportation demand, intercept the corresponding oscillation positive fractions of each energy storage power supply to form a fraction sequence, define the energy storage power supplies corresponding to the smallest PSN elements in the fraction sequence as the calling power supplies for the elevator, and connect the calling power supplies in parallel to supply power to the elevator.

[0083] The operating logic when any elevator changes from a stationary state to a state with an elevator transportation demand is that the elevator starts monitoring whether an elevator transportation demand occurs from the stationary standby state. When at a certain moment, the elevator transportation demand changes from not occurring to occurring, then start to select the energy storage power supply for the elevator.

[0084] This embodiment can select the elevator power supply in real time, but this method is relatively unstable for the scenario of multiple elevators running because the recognition frequency of abnormal voltage fluctuations during the operation of multiple elevators increases, the replacement frequency of the calling power supplies will be very high, the time consumed in the elevator power line switching is significantly increased, and the efficiency of elevator scheduling will be reduced during long-term operation. Therefore, 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.

[0085] In another embodiment, the method of using the oscillation positive fraction to select energy storage power supplies for elevator power distribution is as follows: in the photovoltaic-storage-diesel microgrid, preset the number of energy storage power supplies for a single elevator and denote it as GSN; select energy storage power supplies for the elevator every 0.5 hours, define the energy storage power supplies corresponding to the smallest GSN elements in the fraction sequence as the calling power supplies for all elevators, and connect the calling power supplies in parallel to supply power to the elevator.

[0086] In this embodiment, different from using the start and stop of the elevator as the scheduling entry, using the time interval as the scheduling entry can enhance the adaptability of the elevator group operating environment, reduce the frequency of power supply parallel switching operations, can adapt to the phenomenon of increasing recognition frequency of abnormal voltage fluctuations during the operation of multiple elevators, and reduce the risk of efficiency loss of elevator scheduling caused by the time consumed in elevator power line switching.

[0087] The power distribution system of the energy storage power generation new energy elevator based on the optical storage diesel microgrid provided by the embodiments of the present invention is as follows Figure 2 As shown in the structure diagram of the power distribution system of the energy storage power generation new energy elevator based on the optical storage diesel microgrid of the present invention. The power distribution system of the energy storage power generation new energy elevator based on the optical storage diesel microgrid in 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 embodiments of the power distribution method of the energy storage power generation new energy elevator based on the optical storage diesel microgrid are implemented.

[0088] The system includes: a memory, a processor, and a computer program stored in the memory and executable on the processor. The processor executes the computer program and runs in the following units of the system:

[0089] An energy storage power source identification unit, configured to identify an energy storage power source from the optical storage diesel microgrid;

[0090] A load matrix capture unit, configured to monitor the load rate in real time from each energy storage power source and obtain a load rate matrix;

[0091] An oscillation positive fraction monitoring unit, configured to calculate the oscillation positive fraction through the load rate matrix and the output voltage;

[0092] An energy storage power source power distribution unit, configured to select an energy storage power source for elevator power distribution by using the oscillation positive fraction.

[0093] The power distribution system of the energy storage power generation new energy elevator based on the optical storage diesel microgrid can run in computing devices such as a desktop computer, a laptop computer, a palm computer, or a cloud server. The power distribution system of the energy storage power generation new energy elevator based on the optical storage diesel microgrid, the operable system may include, but is not limited to, a processor and a memory. Those skilled in the art can understand that the above examples are only examples of the power distribution system of the energy storage power generation new energy elevator based on the optical storage diesel microgrid, and do not constitute a limitation on the power distribution system of the energy storage power generation new energy elevator based on the optical storage diesel microgrid. It may include more or fewer components than the examples, or combine certain components, or different components. For example, the power distribution system of the energy storage power generation new energy elevator based on the optical storage diesel microgrid may further include input / output devices, network access devices, a bus, etc.

[0094] The so-called processor may be a Central Processing Unit (CPU), or may also be other general-purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field-Programmable Gate Arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc. The processor is the control center of the power distribution system operation system of the new energy elevator for energy storage power generation based on the optical storage and diesel microgrid, and uses various interfaces and lines to connect all parts of the power distribution system operation system of the new energy elevator for energy storage power generation based on the optical storage and diesel microgrid.

[0095] The memory can be used to store the computer programs and / or modules. The processor realizes various functions of the power distribution system of the new energy elevator for energy storage power generation based on the optical storage and diesel microgrid by running or executing the computer programs and / or modules stored in the memory, and by calling the data stored in the memory. The memory mainly includes a program storage area and a data storage area. Among them, the program storage area can store an operating system, application programs 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, phone book, etc.). In addition, the memory can include high-speed random access memory, and can also include non-volatile memory, such as a hard disk, memory, plug-in hard disk, Smart Media Card (SMC), Secure Digital (SD) card, Flash Card, at least one magnetic disk storage device, flash device, or other volatile solid-state storage devices.

[0096] Although the description of the present invention has been quite detailed and has particularly described several of the 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 in terms of embodiments foreseeable by the inventor for the purpose of providing a useful description, and non-substantive modifications to the present invention that are not currently foreseeable may still represent equivalent modifications of the present invention.

Claims

1. A power distribution method for a new energy elevator with energy storage power generation based on a photovoltaic-storage-diesel microgrid, characterized in that The method includes the following steps: identifying energy storage power sources from the photovoltaic-storage-diesel microgrid; real-time monitoring the load rates of each energy storage power source to obtain a load rate matrix; calculating the oscillation positive fraction through the load rate matrix and the output voltage; using the oscillation positive fraction to select an energy storage power source for elevator power distribution; The method for calculating the oscillation positive fraction through the load rate matrix and the output voltage is as follows: forming a voltage sequence with the output voltages of each measuring point, and forming an evaluation binary group with the measuring point and its corresponding load rate; forming a set of evaluation binary groups corresponding to different energy storage power sources at the same moment and denoting it as the evaluation set; Dividing the value range of the voltage sequence into three value ranges with the upper quartile and the lower quartile of the voltage sequence as the dividing points, and classifying the measuring points into three types of oscillation points, denoted as high-order oscillation points, stable oscillation points, and low-order oscillation points; Denoting the difference between the average value of the voltage sequence and the minimum oscillation value as the first oscillation record; where the minimum oscillation value is the product of the minimum voltage value in the stable oscillation points and the oscillation stable balance ratio; where the oscillation stable balance ratio is the ratio of the minimum voltage value of the low-order oscillation points to the maximum voltage value of the stable oscillation points; Denoting the maximum oscillation value as the product of the maximum voltage value of the stable oscillation points and the oscillation abnormal balance ratio; denoting the difference between the average value of the voltage sequence and the maximum oscillation value as the second oscillation record, and the oscillation abnormal balance ratio is the ratio of the maximum voltage value of the low-order oscillation points to the maximum voltage value of the high-order oscillation points; constructing the oscillation positive fraction at the current moment according to the first oscillation record and the second oscillation record; The method for using the oscillation positive fraction to select an energy storage power source for elevator power distribution is as follows: in the photovoltaic-storage-diesel microgrid, preset the number of energy storage power sources for supplying power to one elevator and denote it as PSN; when any elevator changes from stationary to having an elevator carrying demand, intercept the oscillation positive fractions corresponding to each energy storage power source to form a fraction sequence, define the energy storage power sources corresponding to the smallest PSN elements in the fraction sequence as the calling power sources for the elevator, and connect the calling power sources in parallel to supply power to the elevator.

2. The power distribution method of the energy storage power generation new energy elevator based on the optical storage and diesel microgrid according to claim 1, characterized in that, The method for identifying energy storage power sources from the photovoltaic-storage-diesel microgrid is as follows: 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 sources are any one of lithium-ion batteries, lead-acid batteries, or nickel-cadmium batteries, and two or more energy storage power sources among all energy storage power sources supply power to the elevator in parallel.

3. The power distribution method of the energy storage power generation new energy elevator based on the optical storage and diesel microgrid according to claim 1, characterized in that, The method for real-time monitoring the load rates of each energy storage power source to obtain a load rate matrix is as follows: for any energy storage power source, the 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; set the load rate monitoring time domain DLRM, and the value range of the load rate monitoring time domain is DLRM ∈ [3, 10] minutes; for the current moment, within the DLRM time period in its reverse time direction, construct a matrix 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, and denote it as the load rate matrix.

4. The power distribution method of the energy storage power generation new energy elevator based on the optical storage and diesel microgrid according to claim 1, characterized in that, The method of using the oscillating positive fraction to select an energy storage power source for elevator power distribution is as follows: in the optical storage and diesel microgrid, preset the number of energy storage power sources for powering an elevator and denote it as GSN; select an energy storage power source for the elevator every 0.25 hours to 2 hours, define the GSN elements with the smallest values in the fraction sequence as the called power sources for all elevators, and connect the various called power sources in parallel to power the elevator.

5. The power distribution system of the energy storage power generation new energy elevator based on the optical storage and diesel microgrid is characterized in that, The power distribution system of the energy storage power generation new energy elevator based on the optical 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, it implements the steps in the power distribution method of the energy storage power generation new energy elevator based on the optical storage and diesel microgrid described in any one of claims 1-4. The power distribution system of the energy storage power generation new energy elevator based on the optical storage and diesel microgrid runs on computing devices such as desktop computers, laptop computers, handheld computers, or cloud data centers.

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