Commercial building load simulation method and system considering multi-element influence

Abstract

The application provides a commercial building load simulation method and system considering multiple factor influences, and the simulation of the commercial building load is realized by respectively constructing a lighting load model, an elevator load model, a socket load model and a central air conditioner load model. The simulation can be dynamically adjusted according to dates, weather conditions and personnel conditions, has strong generalization, can be applied to the simulation of building loads in different regions, and is also applicable to the simulation of the loads of a commercial building to be constructed in a region.

Description

TECHNICAL FIELD

[0001] The present application belongs to the technical field related to commercial building load simulation, and particularly relates to a commercial building load simulation method and system considering the influence of multiple factors. BACKGROUND

[0002] The statements in this section merely provide background information related to the present application and do not necessarily constitute the prior art.

[0003] Load simulation is a test cornerstone of various dispatching and control algorithms of smart grids, and is one of the capabilities that must be possessed by each energy management system. For algorithms such as virtual power plants and microgrid optimization scheduling, a commercial building load simulation system of multiple types and granularities considering weather and date changes is an indispensable underlying environment for verifying various intelligent algorithms. However, most of the current load simulation algorithms cannot provide load curve changes of multiple types and considering multiple conditions, thereby resulting in low flexibility and low fidelity. The so-called top-down simulation method using existing typical curves plus a certain randomness, which is widely used at present, is not only rigid, but also cannot be flexibly changed according to weather and date, thereby making the verification of various algorithms lose practical significance.

[0004] In addition, although the personnel system is considered in the existing commercial building load simulation, the design of the personnel system relies on the establishment of a probability chain by analyzing the existing load conditions, thereby over-fine modeling leads to the problem of poor generality of the simulation results.

[0005] Therefore, how to comprehensively consider the influence of various conditions such as the mobility of personnel in a commercial building, date, and weather conditions on the load in the commercial building, and flexibly simulate the fine-grained commercial building load so that it can be applied to the simulation of commercial building loads in different regions is a problem to be solved. SUMMARY

[0006] In order to overcome the shortcomings of the prior art, the present application provides a commercial building load simulation method and system considering the influence of multiple factors, which can be dynamically adjusted according to date, weather conditions, and personnel conditions, has strong generality, and can be applied to the simulation of commercial building loads in different regions.

[0007] In order to achieve the above purpose, the present application adopts the following technical solutions:

[0008] In a first aspect, the present application provides a commercial building load simulation method considering the influence of multiple factors, comprising:

[0009] The load in the building is divided according to the load type, wherein the load type at least includes lighting load, elevator load, socket load, and central air conditioning load.

[0010] According to the influence of working hours, weekdays and holidays, and personnel flow in the building on lighting load, elevator load, a lighting load model and an elevator load model are respectively constructed;

[0011] According to the influence of personnel flow in the building and different use equipment on socket load, a socket load model is constructed;

[0012] According to the influence of personnel flow in the building, weather condition and time sequence on central air conditioning load, a central air conditioning load model is constructed;

[0013] The simulation module is configured to combine the lighting load model, the elevator load model, the socket load model and the central air conditioning load model to obtain a commercial building load simulation result.

[0014] In a second aspect, the present application provides a commercial building load simulation system considering the influence of multiple factors, comprising:

[0015] The division module is configured to divide according to load types in the building; wherein the load types at least include lighting load, elevator load, socket load and central air conditioning load.

[0016] The first construction module is configured to construct a lighting load model and an elevator load model according to the influence of working hours, weekdays and holidays, and personnel flow in the building on lighting load and elevator load;

[0017] The second construction module is configured to construct a socket load model based on the influence of personnel flow in the building and different use equipment on socket load;

[0018] The third construction module is configured to construct a central air conditioning load model based on the influence of personnel flow in the building, weather condition and time sequence on central air conditioning load;

[0019] The simulation module is configured to combine the lighting load model, the elevator load model, the socket load model and the central air conditioning load model to obtain a commercial building load simulation result.

[0020] In a third aspect, the present application provides an electronic device, comprising a memory and a processor, and computer instructions stored in the memory and running on the processor, when the computer instructions are run by the processor, the method of the first aspect is completed.

[0021] In a fourth aspect, the present application provides a computer readable storage medium for storing computer instructions, when the computer instructions are executed by the processor, the method of the first aspect is completed.

[0022] In a fifth aspect, the present application provides a computer program product comprising a computer program which, when executed by a processor, implements the method of the first aspect.

[0023] The above one or more technical solutions have the following beneficial effects:

[0024] The present application avoids the problem of poor generality of simulation results caused by excessive fine modeling of the building load, and can be dynamically adjusted according to the date, weather conditions and personnel conditions, and is suitable for simulation of building loads in different regions and simulation of building loads in a certain region.

[0025] Advantages of the additional aspects of the present application will be partially given in the following description, partially will become obvious from the following description, or will be understood through the practice of the present application. BRIEF DESCRIPTION OF DRAWINGS

[0026] The accompanying drawings, which form a part of the specification, are included to provide a further understanding of the application and are incorporated herein for explanation by illustrating a preferred embodiment of the present application.

[0027] Figure 1 A total building load simulation effect diagram corresponding to spring-day in the embodiment one of the present application;

[0028] Figure 2 A system load simulation effect diagram in the building corresponding to spring-day in the embodiment one of the present application;

[0029] Figure 3 A total building load simulation effect diagram corresponding to spring-weekend in the embodiment one of the present application;

[0030] Figure 4 A system load simulation effect diagram in the building corresponding to spring-weekend in the embodiment one of the present application;

[0031] Figure 5 A total building load simulation effect diagram corresponding to summer-day in the embodiment one of the present application;

[0032] Figure 6 A system load simulation effect diagram in the building corresponding to summer-day in the embodiment one of the present application;

[0033] Figure 7 A total building load simulation effect diagram corresponding to summer-weekend in the embodiment one of the present application;

[0034] Figure 8Simulation effect diagram of each system load in the commercial building corresponding to summer-weekend in the embodiment one of the present application;

[0035] Figure 9 Simulation effect diagram of total load in the commercial building corresponding to autumn-workday in the embodiment one of the present application;

[0036] Figure 10 Simulation effect diagram of each system load in the commercial building corresponding to autumn-workday in the embodiment one of the present application;

[0037] Figure 11 Simulation effect diagram of total load in the commercial building corresponding to autumn-weekend in the embodiment one of the present application;

[0038] Figure 12 Simulation effect diagram of each system load in the commercial building corresponding to autumn-weekend in the embodiment one of the present application;

[0039] Figure 13 Simulation effect diagram of total load in the commercial building corresponding to winter-workday in the embodiment one of the present application;

[0040] Figure 14 Simulation effect diagram of each system load in the commercial building corresponding to winter-workday in the embodiment one of the present application;

[0041] Figure 15 Simulation effect diagram of total load in the commercial building corresponding to winter-weekend in the embodiment one of the present application;

[0042] Figure 16 Simulation effect diagram of each system load in the commercial building corresponding to winter-weekend in the embodiment one of the present application;

[0043] Figure 17 Simulation effect diagram of total load in the commercial building corresponding to winter-special holiday in the embodiment one of the present application;

[0044] Figure 18 Simulation effect diagram of each system load in the commercial building corresponding to winter-special holiday in the embodiment one of the present application. DETAILED DESCRIPTION

[0045] It should be noted that the following detailed description is merely exemplary and is intended to provide further description of the application. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.

[0046] It is to be understood that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments in accordance with the present application.

[0047] In the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other.

[0048] Embodiment one

[0049] The embodiment discloses a commercial building load simulation method considering the influence of multiple factors, comprising:

[0050] According to the load type in the building, the load type at least includes: lighting load, elevator load, socket load and central air conditioning load.

[0051] According to the influence of working hours, weekdays and holidays, and personnel flow in the building on lighting load and elevator load, lighting load model and elevator load model are respectively constructed;

[0052] Based on the influence of personnel flow in the building and different use equipment on socket load, a socket load model is constructed;

[0053] Based on the influence of personnel flow in the building, weather conditions and time sequence on central air conditioning load, a central air conditioning load model is constructed;

[0054] The commercial building load simulation result is obtained by combining the lighting load model, the elevator load model, the socket load model and the central air conditioning load model.

[0055] The commercial building load simulation method considering the influence of multiple factors can simulate the commercial building load curve of various time granularity considering weather, holiday, load type and time sequence as far as possible, so as to provide flexible and variable experimental environment for virtual power plant, new power system, microgrid new energy consumption and other scenes, and help to verify the reliability of various prediction and control algorithms.

[0056] The commercial building load can be divided into five parts for modeling, which are: lighting system, elevator system, socket, central air conditioning system and other equipment.

[0057] The maximum energy consumption proportion of each part can be determined by the user, and the embodiment gives a feasible default proportion, that is, lighting system 15%, elevator system 15%, socket 15%, central air conditioning system 50% and other equipment 5%.

[0058] The above proportion is the proportional relationship between the maximum load capacity of each part, and the energy consumption proportion in actual operation is different according to the actual situation.

[0059] In order to simulate the load of the system more realistically, a personnel system is designed to simulate the personnel situation in the current office building, which will have a cross-linking effect on other systems, and directly change the simulation of other systems through the change of the personnel system. First, we set the maximum personnel online ratio of the personnel system to 1, and before the start of work each day, a daily personnel ratio, i.e. the first ratio α , will be randomly generated, then, we set the actual working personnel ratio as the second ratio β , it is worth noting that the second ratio β changes over time, then, we also need to set the overtime personnel ratio as the third ratio γ , and the overtime end time point δ .

[0060] The value range and generation method of the above four parameters are shown in Table 1:

[0061]

[0062] The values of α, γ, and δ are obtained using the random function random in the given range, and the distribution of β in the [round(0.327*T)~round(0.375*T)] time period conforms to the random Poisson distribution (rising part), in the [round(0.7535*T)~round(0.79167*T)] time period conforms to the random Poisson distribution (falling part), and in the [round(0.79167*T)~δ] time period conforms to the random chi-square distribution (falling part); wherein, T is the total time granularity of a day, such as one minute per point, and one day is 1440 points, then T=1440.

[0063] The prior art relies on analyzing the existing load situation to establish a probability chain for the design of the personnel system, and in order to enhance the generalization possibility, the embodiment does not consider the details of personnel actions, but generally considers the personnel presence situation and its variation probability, thereby avoiding the problem of poor generality of simulation results due to over-fine modeling.

[0064] Lighting load model: The lighting system load of a commercial office building is mainly related to the working time and work-holiday situation, and the lighting system has a certain constant reference value, i.e. the basic load that is not affected by the above factors, which is set to 18-22% of the maximum load size of the lighting system, and the specific proportion will be randomly generated in this range, even if there is no personnel in the building, this part of the load will maintain the basic operation of the building itself.

[0065] The movable lighting load of the commercial office building is directly related to the working condition of the staff, so the movable lighting load of this part can be calculated by multiplying the maximum movable lighting load by the second proportion β of the actual staff on duty. However, it should be noted that in the period of [round(0.37847*T)~round(0.75*T)], due to various unknown disturbances, the movable lighting load calculated above needs to be added with a random disturbance multiplier to simulate the fluctuation. The random disturbance multiplier selected in this embodiment is a Gaussian disturbance multiplier, and the multiplier value range is between [0.8~1].

[0066] In addition, since the noon period is the lunch break time, considering that many employees may leave the company or turn off the equipment for rest, in the noon period, the movable lighting calculated above also needs to be multiplied by a amplitude factor that decreases first and then increases according to the Poisson distribution, and the maximum value of the factor is 1 and the minimum value is 0.5.

[0067] Elevator load model: The elevator system load of the commercial office building is mainly related to the working condition, lunch break condition and work-holiday condition, and the elevator system also has a certain constant reference value, that is, the basic load that is not affected by the above factors. This part of the basic load is set to 15-20% of the maximum load size of the elevator system, and the specific proportion will be randomly generated in this interval. Even if there is no staff in the building, this part of the load will maintain the basic operation of the building itself.

[0068] The movable elevator load of the commercial office building is directly related to the personnel flow, and the elevator running consumption will change according to the full load and half load, so the full load running consumption is set to 100% of the maximum movable elevator load, and the half load running consumption is set to 70% of the maximum movable elevator load.

[0069] Specifically, according to the setting of the personnel system, it is considered that the elevator system running in the working time period and the lunch time period is in a full load state:

[0070] (t=[94 / 288*T-108 / 288*T],[217 / 288*T-228 / 288*T],[138 / 288*T,150 / 288*T])

[0071] In the time period corresponding to the full load state, the movable load of the elevator is the product of the maximum value of the movable load of the elevator and the random disturbance multiplier, and the random multiplier value range is between [0.8~1]. In the period of [1 / 288*T-93 / 288*T], since there is no staff, the elevator is defaulted to be stopped.

[0072] At other time points except the above three special time periods, the elevator defaults to half-load operation, and the movable load of the elevator is the product of 70% of the maximum value of the movable load of the elevator and a random disturbance multiplier, which is in the range of [0-0.8].

[0073] At the time period of [229 / 288*T-δ], the change of the movable load of the elevator fluctuates with the off-work of the overtime staff, and the movable load of the elevator is the product of 70% of the maximum value of the movable load of the elevator, the ratio of the off-work of the overtime staff at the current time to the total ratio of the overtime staff of the day, and a random disturbance multiplier, which is in the range of [0.9-1].

[0074] Socket load model: The design of the socket system is similar to but different from the lighting system. This system is also highly dependent on the fluctuation of the staff system and also has a certain reference value, which is considered to be randomly generated between 10% and 15% of the maximum socket load. Even if there is no staff in the building, this part of the load will maintain the basic operation of the building itself.

[0075] The movable load consumption of the socket system will have several larger peak increases due to the difference in the use of equipment and the randomness of the time node, but when t=[109 / 288*T-216 / 288*T], the existing staff remains unchanged, the randomness of the socket fluctuation will be significantly stronger than the lighting system. Therefore, the generation of the movable load of the socket system still maintains the mode of directly multiplying the maximum load of the socket system by the current staff ratio β and then multiplying a disturbance factor. When t=[109 / 288*T-216 / 288*T], the size of the disturbance factor will be increased, generally in the range of [0.3-1] to simulate the high randomness of the socket system load fluctuation during the working stage, and in other times, the disturbance factor is in the range of [0.8-1].

[0076] In addition, since the noon period is in the lunch break time, it is considered that many employees may leave the company or turn off the equipment to rest, so in the noon period, the movable load value of the socket system calculated in the front is also multiplied by a amplitude factor that decreases first and then increases in accordance with the Poisson distribution, and the maximum value of the factor is 1 and the minimum value is 0.5.

[0077] Central air conditioning load model: Air conditioning load is the most complex part of building system design, this system is not only highly related to personnel system fluctuations, but also related to weather conditions and time sequence. Due to the pursuit of comfort characteristics of commercial office buildings, under normal circumstances, the use of air conditioning is mainly affected by temperature. The load of air conditioning is divided into two parts: ventilation system (fixed consumption): accounts for 35% of the maximum central air conditioning system load; Temperature raising and lowering system: accounts for 65% of the maximum central air conditioning system load.

[0078] Among them, the ventilation system is basically in the all-day open mode. However, although the ventilation system is open all day, in the early morning when there is no staff, the power of the ventilation system should still be smaller than other times, so when t = [1 / 288*T-93 / 288*T], the load consumption of the ventilation system is 70-80% of that of other times, and the specific value is randomly generated. At other times, the load of the ventilation system is based on 15% of the maximum central air conditioning system load, multiplied by a small random operator to simulate certain random fluctuations, wherein the value range of the small random operator is (0.9-1)

[0079] In order to more truly simulate the real scene, considering the temperature and humidity difference between indoor and outdoor, and the air conditioner actually regulates indoor temperature and humidity, therefore, this embodiment establishes an indoor temperature and humidity system. When there is no staff, it is considered that the indoor temperature is completely determined by the outdoor temperature.

[0080] When the staff has not arrived, the temperature raising and lowering system is also in a silent state and does not consume energy. When there is staff, the load consumption of the temperature raising and lowering system is also related to the weather data at that time. Only when the temperature data exceeds the second temperature threshold such as 27° or is lower than the first temperature threshold such as 18°, the temperature raising and lowering system is turned on. After being turned on, within one hour, multiple output-maintenance state switches will be performed, which is reflected in the load consumption, that is, multiple high-low fluctuations similar to sine waves appear within one hour.

[0081] The system is related to the input weather data temperature of each hour. The initial peak of the amplitude after being turned on is the maximum movable temperature raising and lowering system load multiplied by the amplitude factor, that is, ((0.75*|current hour temperature / temperature threshold)*0.8) Here, the temperature threshold refers to the second temperature threshold or the first temperature threshold; when the temperature is lower than 18°, the initial peak of the amplitude is the maximum movable temperature raising and lowering system load multiplied by the amplitude factor, that is, ((-1 / 13*current hour temperature / first temperature threshold+8 / 13)*0.8).

[0082] When the amplitude factor is greater than 1, the amplitude factor is set to 1 for calculation, and when the amplitude factor is less than 0, the amplitude factor is set to 0 for calculation.

[0083] When the indoor temperature enters the specified temperature, that is, the specified temperature when the heating system is turned on is the first temperature threshold, and the specified temperature when the cooling system is turned on is the second temperature threshold; then, considering the interaction effect of indoor and outdoor temperatures and the heating and cooling capacity of the heating and cooling system, when the heating and cooling system is turned on, the indoor temperature is calculated to rise or fall by a preset number of degrees, such as 1.5 degrees, every set time interval, such as 5 minutes, when the temperature first falls to (the second temperature threshold minus the preset number of degrees), such as 24.5 degrees, or rises to (the second temperature threshold plus the preset number of degrees), such as 26 degrees, the system enters a standby state, at which time the load consumption is 1 / 2 of that in the on state. Then, the indoor temperature is affected by the outdoor temperature to cool or heat, and the indoor temperature changes by a set ratio, such as 1 / 20, of the indoor and outdoor temperature difference every minute, when the indoor temperature reaches the warning line at the next time, the heating and cooling system is turned on again, and the average load output value returns to the initial peak, and the cycle continues until the end of the day and all overtime personnel leave, and the temperature system of the commercial building is turned off.

[0084] Other equipment load model: The load in this part is mainly to accommodate some difficult-to-classify loads that may exist in many different office buildings, therefore, we think that the appearance of the load in this part is uniform and random in the whole time period, and the size of the amplitude of each appearance is also uniform and random between (0, 1). The uniform and random generation depends on the sobol sequence.

[0085] The load model of the embodiment is constructed according to the above-mentioned various parts, and the load of the commercial building is simulated. The embodiment mainly adds the adaptability to the local climate, so that the simulation situation can actually change according to the weather conditions.

[0086] The simulation schematic diagram of the commercial building is shown in Figures 1-18 .

[0087] Embodiment two

[0088] The purpose of the embodiment is to provide a commercial building load simulation system considering multiple factors, which comprises:

[0089] The division module is configured to divide according to the load types in the building; wherein the load types at least include: lighting load, elevator load, socket load and central air conditioning load.

[0090] The first construction module is configured to construct lighting load model and elevator load model according to the influence of working hours, weekdays and holidays, and personnel flow in the building on lighting load and elevator load;

[0091] The second construction module is configured to construct a socket load model based on the influence of personnel flow in the building and different use equipment on socket load;

[0092] a third constructing module configured to construct a central air conditioner load model based on influences of personnel flow in the building, weather conditions and time sequence on the central air conditioner load;

[0093] a simulation module configured to obtain a commercial building load simulation result by combining the lighting load model, the elevator load model, the socket load model and the central air conditioner load model.

[0094] In more embodiments, there are also provided:

[0095] An electronic device includes a memory and a processor, and computer instructions stored in the memory and run on the processor, when the computer instructions are run by the processor, the method described in embodiment one is completed. For brevity, it will not be described here.

[0096] It should be understood that in the embodiments, the processor can be a central processing unit CPU, and the processor can also be other general-purpose processors, digital signal processors DSP, application-specific integrated circuits ASIC, ready programmable gate arrays FPGA or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor.

[0097] The memory can include read-only memory and random access memory, and provide instructions and data to the processor, and a portion of the memory can also include non-volatile random access memory. For example, the memory can also store device type information.

[0098] A computer readable storage medium for storing computer instructions, when the computer instructions are executed by a processor, the method described in embodiment one is completed.

[0099] The method in embodiment one can be directly embodied as a hardware processor to execute and complete, or be executed by a combination of hardware and software modules in the processor. The software modules can be located in random access memory, flash memory, read-only memory, programmable read-only memory or electrically erasable programmable memory, registers or other mature storage media in the art. The storage medium is located in the memory, and the processor reads information in the memory and combines hardware to complete the steps of the above method. To avoid repetition, it will not be described in detail here.

[0100] A computer program product includes a computer program, when the computer program is executed by a processor, the method described in embodiment one is implemented and completed.

[0101] The present application also provides at least one computer program product tangibly stored on a non-transitory computer readable storage medium. The computer program product includes computer executable instructions, for example, instructions embodied in program modules, executed by devices at the target real or virtual processor to perform the processes / methods as described above. Generally, program modules include routines, programs, libraries, objects, classes, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The functionality of the program modules can be combined or split between program modules as desired in various embodiments. Machine executable instructions for program modules can be executed within a local or distributed device. In a distributed device, program modules can be located in local and remote memory storage devices.

[0102] Computer program code for carrying out operations of the present application can be written in one or more programming languages. These computer program codes can be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the program codes, when executed by the computer or other programmable data processing apparatus, cause the functions / operations specified in the flowcharts and / or block diagrams to be implemented. The program codes can be executed entirely on a computer, partially on a computer, as a stand-alone software package, partially on a computer and partially on a remote computer, or entirely on a remote computer or server.

[0103] In the context of the present application, computer program code or related data can be carried by any suitable carrier, to enable the device, apparatus or processor to perform the various processes and operations described above. Examples of carriers include signals, computer readable media, and the like. Examples of signals can include electrical, optical, radio, sound or other forms of propagated signals, such as carrier waves, infrared signals, and the like.

[0104] Those skilled in the art can understand that the units and algorithm steps of the examples described in conjunction with the embodiments can be realized by electronic hardware or a combination of computer software and electronic hardware. Whether the functions are realized in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of the present application.

[0105] The above describes the specific embodiments of the present application in conjunction with the accompanying drawings, but is not a limitation on the scope of protection of the present application. Those skilled in the art should understand that various modifications or variations made by those skilled in the art on the basis of the technical solutions of the present application without inventive labor are still within the scope of protection of the present application.

Claims

1. A method for simulating the load of a commercial building under the influence of multiple factors, characterized in that, The method comprises the following steps: According to the load type in the building, at least including: lighting load, elevator load, socket load and central air conditioning load; According to the influence of work time, workday and holiday, and personnel flow in the building on lighting load and elevator load, lighting load model and elevator load model are respectively constructed; Based on the influence of personnel flow in the building and different use equipment on socket load, socket load model is constructed; Based on the influence of personnel flow in the building, weather condition and time sequence on central air conditioning load, central air conditioning load model is constructed, including: the load of air conditioner is divided into two parts, fixed consumption of ventilation system and temperature rising and falling system; When there is no staff at work in the early morning, the load consumption of ventilation system is 70-80% of that in other time, and the specific value is randomly generated; At other times, the load of ventilation system is based on 15% of the maximum central air conditioning system load, multiplied by a small random operator; When there is staff at work, when the temperature data exceeds the second temperature threshold or is lower than the first temperature threshold, the temperature rising and falling system is started; When the temperature rising and falling system is started, the initial peak of amplitude is the maximum movable temperature rising and falling system load multiplied by the amplitude factor; When the indoor temperature reaches the specified temperature, the load is calculated according to the difference between the current temperature and the specified temperature; The indoor temperature starts to be affected by the outdoor temperature to cool down or warm up, and the indoor temperature changes every minute, which is the indoor outdoor temperature difference multiplied by the set proportion; When the indoor temperature reaches the warning line at the next moment, the temperature rising and falling system starts again, and the average load output value returns to the initial peak of amplitude, which circulates until the air conditioning system is closed; The commercial building load simulation result is obtained by combining the lighting load model, the elevator load model, the socket load model and the central air conditioning load model; The determination of personnel flow is as follows: the maximum personnel online ratio is set to 1; Before each working time, the first ratio of personnel to be online on the day is randomly generated; The actual working personnel ratio on the day is set as the second ratio, and the overtime personnel on the day is the third ratio; The value range of the first ratio, the second ratio and the third ratio is determined by random function according to the different time of each day and the difference between workday and holiday; The distribution of the second ratio in the working time period conforms to the rising part of random Poisson distribution, the distribution in the off work time period conforms to the falling part of random Poisson distribution, and the distribution in the overtime period conforms to the falling part of random chi-square distribution.

2. The method for simulating the load of a commercial building considering the influence of multiple factors according to claim 1, wherein, In the lighting load model, the movable lighting load of the commercial building is determined by multiplying the maximum movable lighting load by the second ratio of the actual staff at work.

3. The method for simulating the load of a commercial building considering the influence of multiple factors according to claim 1, wherein, In the elevator load model, the elevator system is set to run in full load state in the working time period and lunch break time period, and the movable elevator load is the product of the maximum value of the elevator movable load and a random disturbance multiplier; When the elevator system runs in half load state, the movable elevator load is the product of the set proportion of the maximum value of the elevator movable load and a random disturbance multiplier.

4. The method for simulating the load of a commercial building considering the influence of multiple factors according to claim 1, wherein, In the socket load model, when the number of staffs is constant, the movable load of the socket system is the product of the maximum socket load, the second proportion of the actual staffs and the disturbance factor; When the staffs in the commercial building are in the lunch break period, the movable load of the socket system is the product of the maximum socket load and the amplitude factor which decreases first and then increases according to the Poisson distribution.

5. A commercial building load simulation system considering multi-element influences, characterized in that, The method comprises the following steps: a division module configured to divide according to the load types in the building, wherein the load types at least include lighting load, elevator load, socket load and central air conditioning load; a first construction module configured to construct a lighting load model and an elevator load model according to the influences of the working hours, weekdays and holidays and the staff flow in the building on the lighting load and the elevator load, respectively; a second construction module configured to construct a socket load model based on the influences of the staff flow in the building and different use equipment on the socket load; a third construction module configured to construct a central air conditioning load model based on the influences of the staff flow in the building, weather conditions and time sequence on the central air conditioning load, comprising the following steps: dividing the load of the air conditioner into two parts, the fixed consumption of the ventilation system and the heating and cooling system; when there is no staff in the early morning, the load consumption of the ventilation system is 70-80% of that in other time, and the specific value is randomly generated; at other times, the load of the ventilation system is based on 15% of the maximum central air conditioning system load and multiplied by a small random operator; when the air conditioning system is turned on, the initial peak amplitude is the product of the maximum movable heating and cooling system load and the amplitude factor; when the indoor temperature reaches the specified temperature, the load is calculated according to the difference between the current temperature and the specified temperature; the indoor temperature starts to be affected by the outdoor temperature to cool or heat, and the indoor temperature changes every minute, which is the product of the indoor and outdoor temperature difference and the set proportion; when the indoor temperature reaches the warning line at the next moment, the heating and cooling system is turned on again, the average load output value returns to the initial peak amplitude, and the cycle continues until the air conditioning system is turned off; a simulation module configured to obtain the simulation result of the commercial building load by combining the lighting load model, the elevator load model, the socket load model and the central air conditioning load model. The determination of the staff flow comprises the following steps: setting the maximum staff online proportion as 1; before the working hours of each day, a first proportion of the staffs who should be online on that day is randomly generated; the actual staff proportion on that day is set as a second proportion, and the staffs who work overtime on that day are a third proportion; the value ranges of the first proportion, the second proportion and the third proportion are determined by using a random function according to the different time of each day and the difference between weekdays and holidays; the distribution of the second proportion in the working hours conforms to the rising part of the random Poisson distribution, the distribution in the working hours conforms to the falling part of the random Poisson distribution, and the distribution in the overtime hours conforms to the falling part of the random chi-square distribution.

6. An electronic device, comprising: The computer program product comprises a memory and a processor, and computer instructions stored in the memory and run on the processor, and when the computer instructions are run by the processor, the method in any one of claims 1-4 is completed. The computer program product comprises a memory and a processor, and computer instructions stored in the memory and run on the processor, and when the computer instructions are run by the processor, the method in any one of claims 1-4 is completed.

7. A computer readable storage medium characterized in that, A computer program product for storing computer instructions which, when executed by a processor, perform the method of any one of claims 1-4.

8. A computer program product, characterised in that, A computer program which, when executed by a processor, performs the method of any one of claims 1-4.

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