Intelligent Scheduling Method and System for Electric Power Resources in Construction Projects

Abstract

The present invention relates to the technical field of power dispatching, and specifically to an intelligent dispatching method and system for electric power resources in construction projects, which includes the following steps: obtaining the instantaneous power demand data of electrical equipment in the construction area, calculating the load density value of each area according to the power consumption of the equipment in each construction area, and obtaining the regional load density data. In the present invention, by using the instantaneous power demand data of electrical equipment in the construction area, calculating the load density value of each area, and combining the current charging state and the dischargeable power of the energy storage unit, the discharge power of the energy storage device is adjusted, so that the energy storage device can dynamically adapt to the fluctuation characteristics of the construction load, improve the power supply stability during peak power consumption periods, and combine the peak-valley electricity price floating value and the load state of the energy storage device to set the charge-discharge switching threshold of the energy storage device, making the electric energy regulation during peak-valley periods more flexible, reducing the peak power purchase cost, and improving the economy of energy dispatching.

Description

Technical Field

[0001] The present invention relates to the technical field of power dispatching, and in particular to a method and system for intelligent dispatching of power resources for construction projects. Background Art

[0002] The field of power dispatching technology involves the management and optimization of the production, transmission, distribution, and consumption of electrical energy in power systems. This technology encompasses grid dispatching, load forecasting, real-time power control, dispatching automation systems, and smart grid optimization, with the goal of ensuring safe, stable, and economical operation of the power system. Core technologies include unit combination optimization, economic load dispatching, demand-side response, automatic generation control, grid flow calculation, reactive power optimization, and grid dispatching automation systems. With the development of intelligent technology, this field is widely applying methods such as artificial intelligence, optimal control, reinforcement learning, and multi-objective optimization to improve the efficiency of power resource allocation, reduce operating costs, and enhance power supply reliability.

[0003] The intelligent dispatching method for building power resources involves intelligently allocating and optimizing the control of power loads within a building project to reduce energy loss and improve power efficiency. This method can be applied to scenarios such as high-rise building complexes, industrial parks, and commercial complexes. By integrating the characteristics of building power demand, it optimizes power dispatch strategies to achieve load balancing, peak-valley reduction, and backup power management. By integrating power forecasting algorithms, dynamic dispatching strategies, and distributed energy management technologies, this method can improve building power supply stability, reduce operating costs, and promote the intelligent and efficient use of building power resources.

[0004] Traditional methods are unable to accurately reflect the dynamic changes in local regional loads, resulting in insufficient power supply in local high-load areas during peak periods, while low-load areas may waste electricity. The power allocation strategy is based primarily on the load level of the power grid and fails to fully incorporate the demand characteristics of the construction task. As a result, key equipment will not receive priority power supply during specific process stages, affecting the construction progress. Load regulation lacks dynamic management of the energy storage system, making the discharge strategy of the energy storage equipment unable to adapt to the instantaneous changes in electricity demand at the construction site, which can easily lead to low energy storage utilization. Peak and valley electricity price control methods are mostly based on fixed time period switching and fail to make dynamic adjustments based on the load characteristics of the construction task. As a result, low-priced electricity is not fully utilized, electricity costs increase during high-priced periods, and the economic efficiency of the construction project is reduced. Summary of the Invention

[0005] The purpose of the present invention is to solve the shortcomings of the prior art and to propose a method and system for intelligent scheduling of power resources for construction projects.

[0006] In order to achieve the above-mentioned purpose, the present invention adopts the following technical solution: a method for intelligent scheduling of power resources for construction projects, comprising the following steps:

[0007] S1: Obtain the instantaneous power demand data of the electrical equipment in the construction area, calculate the load density value of each area according to the equipment power consumption in each construction area, and obtain the area load density data;

[0008] S2: Based on the area load density data, call the input power, output power and construction task completion rate of the construction equipment, calculate the unit power utilization rate, combine the construction task urgency value of each equipment, calculate the equipment power demand priority, and obtain the construction equipment power priority information;

[0009] S3: Call the construction equipment power priority information, screen the areas where the high-priority equipment belongs, set the power supply upper limit of each area, and combine the real-time load status to perform power compensation adjustment on the equipment in the high-demand area to obtain the hierarchical power supply adjustment parameters;

[0010] S4: Call the hierarchical power supply adjustment parameters, set the discharge time period, and adjust the discharge power of the energy storage equipment to obtain the construction energy storage discharge parameters;

[0011] S5: Call the construction energy storage discharge parameters, combine the peak-valley electricity price floating value and the load status of the energy storage equipment, calculate the current electricity purchase cost at the construction site, set the charge-discharge switching threshold of the energy storage equipment, and obtain the peak-valley electricity price optimization parameters.

[0012] As a further solution of the present invention, the area load density data includes area instantaneous power demand, equipment operation time ratio, load growth trend and unit area equipment power consumption, the construction equipment power priority information is specifically the unit power utilization rate, process importance and operation urgency, the hierarchical power supply adjustment parameters include the power supply upper limit in the high-demand area, the power adjustment value in the balanced area and the power reduction in the low-demand area, the construction energy storage discharge parameters specifically refer to the energy storage release rate, discharge power distribution and discharge time setting, and the peak-valley electricity price optimization parameters include the peak-valley period power adjustment ratio, the charge-discharge switching threshold of the energy storage equipment and the calculated value of the electricity purchase cost.

[0013] As a further solution of the present invention, the steps for obtaining the area load density data are specifically as follows:

[0014] S111: Obtain the instantaneous power demand data of the electrical equipment in the construction area, collect the equipment operation time ratio data of each area, classify the data of each area, and calculate the ratio value of the equipment operation within the unit time in each area to obtain the equipment operation time information;

[0015] S112: Based on the equipment operation time information, combine the equipment quantity and power consumption data in each construction area to calculate the equipment power consumption in each construction area, and obtain the total equipment power demand value;

[0016] S113: Call the total power demand value of the device, combine it with the area of each construction area, and use the formula:

[0017] ;

[0018] Perform operations to obtain the load density value per unit area and get the regional load density data;

[0019] Among them, represents the regional load density data, represents the th power demand value of the device, represents the th operating time of the device, represents the construction area, represents the average value of the power demand values of the devices, represents the total number of devices.

[0020] As a further solution of the present invention, the steps for obtaining the power priority information of the construction equipment are specifically as follows:

[0021] S211: Based on the regional load density data, screen the construction areas where the load density exceeds the set threshold, call the scope of the screened construction areas, and obtain the list of construction equipment within the area to get the construction equipment data;

[0022] S212: Call the construction equipment data, obtain the input power, output power and construction task completion rate of the equipment, and use the formula:

[0023] ;

[0024] Calculate the unit power utilization rate data;

[0025] Among them, represents the unit power utilization rate, represents the total number of devices, represents the th output power of the device, represents the th construction task completion rate of the device;

[0026] S213: Call the unit power utilization rate data, combine it with the construction task urgency value of the construction equipment, and use the formula:

[0027] ;

[0028] Calculate the power demand priority of the equipment, perform power demand sorting, and obtain the power priority information of the construction equipment;

[0029] Among them, Represents the priority of the power demand of construction equipment, Represents the unit electric energy utilization rate, Represents the urgency value of the construction task of the current equipment, Represents the urgency value of the construction task of the

[0030] As a further solution of the present invention, the steps for obtaining the hierarchical power supply adjustment parameters are specifically as follows:

[0031] S311: Invoke the power priority information of the construction equipment, classify the equipment according to the preset priority standard, extract the areas where high-priority equipment belongs, calibrate the equipment distribution in the areas, and obtain the high-priority equipment area data;

[0032] S312: Based on the high-priority equipment area data, classify the areas according to the regional load density interval, set the load density interval threshold, and divide into high-demand areas, balanced areas and low-demand areas, and set the category identifier for each area to obtain the regional load category information;

[0033] S313: Invoke the regional load category information, set the upper limit value of power supply for each area, and combine with the real-time load status, using the formula:

[0034] ;

[0035] Calculate to obtain the power compensation adjustment value for each area, and obtain the hierarchical power supply adjustment parameters;

[0036] Wherein, <� represents the power compensation adjustment value of the represents the real-time load status value of the represents the upper limit value of power supply of the represents the power compensation value of the is the real-time power demand value of the represents the average power demand value of the whole area, represents the total number of devices.

[0037] As a further solution of the present invention, the steps for obtaining the energy storage discharge parameters for building construction are specifically as follows:

[0038] S411: Invoke the hierarchical power supply adjustment parameters, calculate the peak load of the equipment in the high-demand area, identify the maximum power demand value of each type of equipment, calculate the total peak power of the equipment in the high-demand area, and obtain the peak load of the equipment in the high-demand area;

[0039] S412: Based on the peak load of the equipment in the high-demand area, combined with the current charging state of the energy storage unit, extract the dischargeable power of the energy storage unit, calculate the energy storage release rate, and set the dynamic adjustment range of the energy storage power release according to the current load level and the remaining capacity of the energy storage, and obtain the energy storage release rate;

[0040] S413: Invoke the energy storage release rate, set the discharge time period, and use the formula:

[0041] ;

[0042] Calculate the adjusted discharge power to obtain the energy storage discharge parameters for building construction;

[0043] Where, represents the adjusted discharge power, is the remaining power of the current energy storage unit, is the set discharge rate, is the discharge time period, is the current real-time load, is the set safe load level, is the maximum load of the area.

[0044] As a further solution of the present invention, the steps for obtaining the peak-valley electricity price optimization parameters are specifically as follows:

[0045] S511: Invoke the energy storage discharge parameters for building construction, combined with the peak-valley electricity price floating value, collect the load status of the energy storage device, and calculate the real-time electricity purchase cost to obtain the current electricity purchase cost;

[0046] S512: Based on the current electricity purchase cost, use the innovative formula:

[0047] ;

[0048] Calculate and obtain the charge-discharge switching threshold of the energy storage device;

[0049] Where, represents the charge-discharge switching threshold, is the current electricity purchase cost, and are the lowest and highest electricity price costs respectively, and represent the peak and valley electricity prices respectively.

[0050] S513: Invoke the charge-discharge switching threshold of the energy storage device. If the current electricity price is greater than the charge-discharge switching threshold of the energy storage device and the remaining power of the current energy storage device is greater than the minimum power, execute the discharge mode; otherwise, execute the charge mode to obtain the peak-valley electricity price optimization parameter.

[0051] A building project power resource intelligent scheduling system, which is used to execute the above-mentioned building project power resource intelligent scheduling method. The system includes:

[0052] The load density analysis module obtains the instantaneous power demand data of the electrical equipment in the building construction area, calculates the load density value of each area according to the equipment power consumption in each construction area, and obtains the area load density data.

[0053] The priority evaluation module calculates the unit power utilization rate based on the area load density data, combines the urgency value of the construction task of each device, calculates the priority of the device power demand, and obtains the power priority information of the construction equipment.

[0054] The supply distribution compensation module invokes the power priority information of the construction equipment, sets the power supply upper limit of each area, and performs power compensation adjustment on the equipment in the high-demand area to obtain the hierarchical power supply adjustment parameter.

[0055] The discharge parameter optimization module invokes the hierarchical power supply adjustment parameter, sets the discharge time period, and adjusts the discharge power of the energy storage device to obtain the building construction energy storage discharge parameter.

[0056] The charge-discharge adjustment module invokes the building construction energy storage discharge parameter, calculates the current electricity purchase cost at the construction site, sets the charge-discharge switching threshold of the energy storage device, and obtains the peak-valley electricity price optimization parameter.

[0057] Compared with the prior art, the advantages and positive effects of the present invention are as follows:

[0058] In this invention, by utilizing the instantaneous power demand data of electrical equipment in the construction area, the load density values of each area are calculated, enabling the spatial distribution of construction loads to have dynamic perception capabilities, achieving refined management for different load areas. According to the input power, output power, and construction task completion rate of construction equipment, the priority of equipment power demand is calculated, enabling power distribution to adapt to the construction needs of different equipment, optimizing the utilization efficiency of electrical energy resources. High-demand areas, balanced areas, and low-demand areas are divided based on the regional load density, and power compensation adjustments are made to the equipment in high-demand areas in combination with the real-time load status, making the power distribution at the construction site more flexible and reducing the probability of local overload. By combining the current charging status and dischargeable power of the energy storage unit, the energy storage release rate is calculated, the discharge power of the energy storage device is adjusted, and the discharge time period is set, enabling the energy storage device to dynamically adapt to the fluctuation characteristics of construction loads and enhancing the power supply stability during peak electricity consumption periods. By combining the peak-valley electricity price floating value and the load status of the energy storage device, the charge-discharge switching threshold of the energy storage device is set, making the electrical energy regulation during peak-valley periods more flexible, reducing the peak electricity purchase cost, and improving the economic efficiency of energy scheduling. Brief Description of the Drawings

[0059] Figure 1 It is a schematic diagram of the working process of this invention;

[0060] Figure 2 It is a flowchart for obtaining regional load density data of this invention;

[0061] Figure 3 It is a flowchart for obtaining the power priority information of construction equipment of this invention;

[0062] Figure 4 It is a flowchart for obtaining hierarchical power supply adjustment parameters of this invention;

[0063] Figure 5 It is a flowchart for obtaining the energy storage discharge parameters for building construction of this invention;

[0064] Figure 6 It is a flowchart for obtaining the peak-valley electricity price optimization parameters of this invention. Detailed Embodiment

[0065] In order to make the objectives, technical solutions, and advantages of this invention clearer and more understandable, the following further details this invention in combination with the drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain this invention and are not used to limit this invention.

[0066] In the description of the present invention, it should be understood that the orientation or positional relationships indicated by the terms "length", "width", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc. are based on the orientation or positional relationships shown in the drawings. These are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it should not be construed as a limitation to the present invention. In addition, in the description of the present invention, the meaning of "plurality" is two or more, unless otherwise specifically defined.

[0067] Embodiment 1

[0068] Please refer to Figure 1 , the present invention provides a technical solution: an intelligent scheduling method for electric power resources in construction projects, including the following steps:

[0069] S1: Obtain the instantaneous power demand data of the electrical equipment in the construction area, collect the equipment operation time ratio and load growth trend of each area, and calculate the load density value of each area according to the equipment power consumption, equipment quantity and operation time per unit area in each construction area, so as to obtain the regional load density data;

[0070] [[ID=?]]S2: Based on the regional load density data, screen the areas where the load density exceeds the set threshold, and obtain the list of construction equipment in the area. The construction equipment includes tower cranes, welding machines, and concrete mixers. Call the input power, output power and construction task completion rate of the construction equipment, calculate the unit electric energy utilization rate, and combine the construction task urgency value of each equipment to calculate the equipment power demand priority, so as to obtain the construction equipment power priority information;

[0071] S3: Call the construction equipment power priority information, screen the areas where the high-priority equipment belongs, divide the high-demand area, balanced area and low-demand area according to the regional load density interval, set the power supply upper limit of each area, and combine the real-time load status to adjust the power compensation of the equipment in the high-demand area, so as to obtain the hierarchical power supply adjustment parameters;

[0072] S4: Call the hierarchical power supply adjustment parameters, calculate the peak load of the equipment in the high-demand area, combine the current charging status and dischargeable power of the energy storage unit, calculate the energy storage release rate, set the discharge time period, and adjust the discharge power of the energy storage device, so as to obtain the construction energy storage discharge parameters;

[0073] S5: Call the construction energy storage discharge parameters, combine the peak-valley electricity price floating value and the load status of the energy storage device, calculate the current electricity purchase cost at the construction site, set the charge-discharge switching threshold of the energy storage device, so as to obtain the peak-valley electricity price optimization parameters.

[0074] It should be noted that there seems to be an error in the original text. The content of step S2 in the English translation is marked with "?". Please check and correct the original text for a more accurate translation.The regional load density data includes the regional instantaneous power demand, the proportion of equipment operation time, the load growth trend, and the power consumption of equipment per unit area. The specific information of the construction equipment power priority is the unit power utilization rate, the importance of the process, and the urgency of the operation. The hierarchical power supply adjustment parameters include the upper limit of power supply in the high-demand area, the power adjustment value in the balanced area, and the power reduction in the low-demand area. The energy storage discharge parameters for building construction specifically refer to the energy storage release rate, the distribution of discharge power, and the setting of discharge time. The peak-valley electricity price optimization parameters include the power adjustment ratio during peak-valley periods, the charge-discharge switching threshold of the energy storage device, and the calculated value of the electricity purchase cost.

[0075] Please refer to Figure 2 , the steps for obtaining the regional load density data are specifically as follows:

[0076] S111: Obtain the instantaneous power demand data of the electrical equipment in the building construction area, collect the data of the proportion of equipment operation time in each area, classify the data of each area, and calculate the proportion of equipment operation per unit time in each area to obtain the equipment operation time information;

[0077] Obtain the instantaneous power demand data of the electrical equipment in the building construction area. By deploying power monitoring equipment in the construction area and installing power sensors at each equipment end for data collection, the power sensor of each equipment records its operation status in real time and sends the instantaneous power demand data to the data processing terminal through the wireless data transmission module. The data processing terminal stores the power data of different equipment according to the equipment number and records the power change of each equipment according to the time stamp. For example, there are 10 electric welders, 5 tower cranes, and 3 mixers in a certain construction area. The instantaneous power demands of the electric welders are , , etc., and the instantaneous power demands of the mixers are , etc. During the operation period of each equipment, collect the operation time data of all equipment, and count the proportion of the operation time of each equipment in the total construction duration of the construction area. For example, if a certain equipment operates for 8 hours per day and the total operation time of the construction area is 24 hours, the proportion of the operation time of this equipment is , the operation time percentage data of all devices is stored in the database. Then, the power demand data and operation time percentage data of all devices in the construction area are classified and summarized, and divided according to the device category. For example, tower cranes are classified as "lifting category", welding machines are classified as "welding category", and mixers are classified as "mixing category". Calculate the operation time occupancy ratio of each category per unit time. Specifically, when calculating, sum up the operation time of each device to obtain the total operation time of the category, and then calculate the proportion of the total operation time of the devices in this category to the total construction time. For example, the total operation time of the welding category devices is 30 hours, and the total construction time is 100 hours, then the operation occupancy ratio of the welding category devices is , finally, organize all the device operation time information into a table, as shown in Table 1. For setting the benchmark value of the device operation time occupancy ratio, it needs to be set according to the average device utilization rate data in the construction area. Suppose the standard device operation time occupancy ratio of a certain construction project is between 30% and 50%. Then, devices with less than 30% may belong to low-efficiency devices and the construction plan needs to be adjusted. Devices with more than 50% may have the risk of overloading operation and the device scheduling needs to be optimized. The setting of the benchmark value is based on historical construction data and dynamically adjusted in combination with the characteristics of the construction area.

[0078] Table 1 Statistical table of device operation time in the construction area

[0079]

[0080] As shown in Table 1, the operation time occupancy ratio of each category of devices is used for subsequent calculation of the device power demand situation.

[0081] S112: Based on the device operation time information, combined with the device quantity and power consumption data in each construction area, calculate the device power consumption of each construction area to obtain the total device power demand value;

[0082] Based on the device operation time information, obtain the power consumption data of each device, combine it with the device operation time, and calculate the total power consumption of each device in the construction area. The specific calculation method is that the power consumption of each device is equal to its power demand value multiplied by the operation time. For example, the power demand of a certain tower crane device is , and its operation time is 20 hours, then the total power consumption of this device is , for the entire construction area, sum up the power consumption data of all devices. That is, the total device power demand value of the construction area is equal to the sum of the power consumption of all devices. For example, the total power demand of the lifting category devices is 2000 kWh, the total power demand of the welding category devices is 1500 kWh, and the total power demand of the mixing category devices is 1000 kWh. Then the total device power demand value is , this data is used for subsequent calculation of the load density per unit area. During the calculation of equipment power, to ensure the accuracy of power consumption data, a power demand adjustment factor needs to be introduced. , this coefficient is used to correct the calculation deviation caused by equipment power fluctuations. The setting of refers to the average load fluctuation range of the same type of equipment. For example, for a welding machine, the instantaneous power fluctuation range is about 10%, then can be taken. For a tower crane, since it is in a low-load state for a long time and the power fluctuation is small, then In the power calculation process, the power consumption of each equipment needs to be multiplied by the corresponding

[0083] value for correction to obtain a more accurate power demand.

[0084] ;

[0085] Perform operations to obtain the load density value per unit area and get the regional load density data;

[0086] Among them, represents the regional load density data, represents the th power demand value of the equipment, represents the th operating time of the equipment, represents the construction area, represents the average value of the equipment power demand value, represents the total number of equipment.

[0087] Call the total power demand value of the equipment, combine it with the area of each construction area, and calculate the load density value per unit area. First, obtain the total area of the construction area. For example, the construction area is , and then use the formula:

[0088] ;

[0089] Among them, is the total power demand value of the equipment, that is, 4500 kWh, is the average value of all equipment power demand values, that is:

[0090] ;

[0091] Calculate :

[0092] ;

[0093] The total number of devices is , then the variance term is calculated as:

[0094] ;

[0095] Substitute the data into the formula:

[0096] ;

[0097] When calculating the regional load density, it is necessary to set the warning threshold of the regional load density , which is used to judge whether the construction area is in an overloaded state. Its setting is based on the electrical load safety standard of the construction industry. For example, for a medium-sized construction area, the load density per unit area is usually controlled between and , so can be set. If the calculated load density exceeds this threshold, load adjustment is required. The result shows that the load density per unit area in the construction area is 2.37 , and this value can be used for electrical load assessment to optimize the electrical scheduling plan for the construction area.

[0098] Please refer to Figure 3 , and the specific steps for obtaining the priority information of the construction equipment power are as follows:

[0099] S211: Based on the regional load density data, screen the construction areas where the load density exceeds the set threshold, call the scope of the screened construction areas, obtain the list of construction equipment within the area, and get the construction equipment data;

[0100] Based on the regional load density data, screening the construction areas where the load density exceeds the set threshold requires determining the load density threshold, which can be set according to the grid load capacity of the construction area, the maximum power bearing capacity of the equipment, and the electrical facility safety load standard. For example, the grid safety operation standard usually requires that the regional load density does not exceed 2.5 kW / m2 to ensure the stability of power supply. Therefore, the threshold is set as , traverse the load density data of all construction areas, and screen out the construction areas where the load density exceeds . For example, if the load density of a certain construction area is , then the area meets the screening conditions, it is marked as a high-load area, and the area number is called and stored in the construction area screening list. Then, for the screened construction area, the list of construction equipment in the area is obtained. First, the equipment database is accessed to obtain the unique identification ID of all equipment in the area, and the equipment attribute table in the database is called to extract the equipment name, model, rated power, operating status and other parameters. For example, in a certain screened area, it is found that there are 5 tower cranes, 10 welding machines and 3 concrete mixers in the area, so the specific equipment list is obtained, as shown in Table 2.

[0101] Table 2 Equipment list for high load density construction areas

[0102]

[0103] As shown in Table 2, the construction equipment data is obtained, and the unit power utilization rate will be calculated based on this data later.

[0104] S212: Call the construction equipment data to obtain the equipment's input power, output power, and construction task completion rate using the formula:

[0105] ;

[0106] Calculate unit power utilization data;

[0107] in, Represents the unit power utilization rate, Represents the total number of devices, Representative The output power of each device, Representative The completion rate of construction tasks for each piece of equipment;

[0108] Call the construction equipment data to obtain the input power, output power and construction task completion rate of the equipment. First, obtain the input power of each device, that is, the actual power consumed from the power grid when the equipment is running. It is usually calculated by multiplying the rated power of the equipment by its operating load factor. For example, the rated power of a welding machine is , its load factor is 0.85, then the input power is:

[0109] ;

[0110] Get the output power of the device , output power refers to the actual effective power output of the equipment in the current operating state. For example, the output power of the welding machine is measured to be , and then obtain the equipment's construction task completion rate , this value is obtained through construction progress statistics. For example, if the current task progress of this equipment is 80%, then , and finally substitute it into the formula:

[0111] ;

[0112] Calculate the unit power utilization rate. For example, a certain construction area contains 3 devices, whose input powers are 5.1kW, 15.3kW, and 10.2kW respectively, and the output powers are 4.5kW, 13.0kW, and 8.5kW respectively. The corresponding construction task completion rates are 0.8, 0.9, and 0.85. Then:

[0113] ;

[0114] ;

[0115] ;

[0116] Unit power utilization rate is used to measure the energy utilization efficiency of the equipment. [[ID=:27]] , indicating that 73.6% of the electric energy consumed by the equipment is effectively utilized, and the remaining part is loss. This value is usually set in the interval greater than 0.7 to ensure that the equipment is at a reasonable energy utilization level. This data is used for subsequent calculation of the equipment power demand priority.

[0117] S213: Call the unit power utilization rate data, combine it with the construction task urgency value of the construction equipment, and use the formula:

[0118] ;

[0119] Calculate the equipment power demand priority, perform power demand sorting, and obtain the construction equipment power priority information;

[0120] Among them, represents the construction equipment power demand priority, represents the unit power utilization rate, represents the construction task urgency value of the current equipment, represents the th construction task urgency value of the equipment.

[0121] Call the unit power utilization rate data, combine it with the construction task urgency value of the construction equipment, calculate the equipment power demand priority, and first obtain the construction task urgency value of the construction equipment , this value can be calculated through the construction task deadline, the difference between the current construction progress and the target progress. For example, if the current construction progress of a certain equipment is 60%, while the planned progress should be 80%, and the remaining construction period is 10 days, then the urgency calculation is:

[0122] ;

[0123] Obtain the total urgency value of all construction equipment , for example, if the urgency values of 5 pieces of equipment in the construction area are 0.02, 0.03, 0.025, 0.018, and 0.022 respectively, then:

[0124] ;

[0125] Substitute and each urgency value into the formula:

[0126] ;

[0127] For example, if the urgency value of a certain piece of equipment is 0.02, then:

[0128] ;

[0129] Construction task urgency value is used to reflect the urgency of the current task of the equipment. When setting this value, the gap between the planned construction period of the equipment and the current construction period progress needs to be considered, and linear proportion calculation is adopted. Usually, the urgency value should fall within the range of 0 - 0.05. If it exceeds 0.05, it means that the task is seriously lagging behind and priority scheduling is required. Finally, calculate the power demand priority of all equipment and sort them from high to low to form the construction equipment power priority information, as shown in Table 3.

[0130] Table 3 Construction Equipment Power Demand Priority Ranking Table

[0131]

[0132] As shown in Table 3, the calculation of the power demand priority of construction equipment is completed, and the equipment is sorted according to the demand degree.

[0133] Please refer to " Figure 4 , and the specific steps for obtaining the hierarchical power supply adjustment parameters are as follows:

[0134] S311: Invoke the construction equipment power priority information, classify the equipment according to the preset priority standard, extract the areas where high-priority equipment belongs, calibrate the equipment distribution in the areas, and obtain the high-priority equipment area data;

[0135] Invoke the construction equipment power priority information, classify the equipment according to the preset priority standard. First, set the priority standard, and this standard can be divided according to the power demand priority threshold of the equipment ; is set based on the electricity demand of the construction tasks and the urgency of equipment scheduling. The specific calculation method is to count the historical data of construction tasks and calculate the average value of the power demand priorities of all equipment. , and set a threshold as the 95th percentile of , ensuring that the selection of high-priority equipment is statistically significant. For example, in the past 100 construction tasks, if the power demand priority value of the 95th percentile is calculated as 0.15, then set , traverse the power demand priorities of all construction equipment , if , then mark it as high-priority equipment; if , then mark it as ordinary-priority equipment. For example, if the equipment power priorities in the aforementioned construction area are 0.192, 0.16, 0.141, 0.128, 0.115 respectively, then the power priorities of equipment EQ001 and EQ002 are greater than [[ID=1⑧]], so they are classified as high-priority equipment. Then extract the areas where high-priority equipment is located. First, obtain the construction area numbers corresponding to each high-priority equipment, and traverse the equipment list to record all the areas where high-priority equipment is located. For example, equipment EQ001 is located in area A, equipment EQ002 is located in area B, and equipment EQ003 to EQ005 are located in area C. Then areas A and B contain high-priority equipment, and mark them as high-priority equipment areas. Finally, draw the equipment distribution in this area, that is, record the spatial positions of high-priority equipment in the construction area and generate area equipment data, as shown in Table 4.

[0136] Table 4 High-priority equipment area data

[0137]

[0138] As shown in Table 4, obtain the high-priority equipment area data, which is used for subsequent load density classification.

[0139] S312: Based on the high-priority equipment area data, according to the regional load density range, conduct regional classification, set the load density range threshold, and divide into high-demand areas, balanced areas and low-demand areas, set the category identifier for each area, and obtain the regional load category information;

[0140] Based on the high-priority equipment area data, according to the regional load density range, conduct regional classification, set the load density range threshold, and divide into high-demand areas, balanced areas and low-demand areas. First, set the load density range threshold and , and is set based on the power distribution capacity of the construction area and historical data of equipment operation load. The specific calculation method is to statistically calculate the load density data of all construction areas and calculate their average value. and standard deviation , and set as , set as , for example, if the average value of the load density data of all construction areas is calculated as 1.9 kW / m2 and the standard deviation is 0.4 kW / m2, then , , then traverse the load density of the areas where all high-priority equipment belongs , if , it is marked as a high-demand area, if , it is marked as a balanced area, if , it is marked as a low-demand area. For example, if the load density of area A is 2.8 kW / m2, the load density of area B is 1.7 kW / m2, and the load density of area C is 1.2 kW / m2, then area A is classified as a high-demand area, area B is classified as a balanced area, and area C is classified as a low-demand area. Finally, store the area category identifier in the database, as shown in Table 5.

[0141] Table 5 Area Load Category Information

[0142]

[0143] As shown in Table 5, obtain the area load category information, which is used for subsequent power compensation adjustment calculations.

[0144] S313: Call the area load category information, set the upper limit value of power supply for each area, and combine the real-time load status. Use the formula:

[0145] ;

[0146] Calculate to obtain the power compensation adjustment value for each area and get the hierarchical power supply adjustment parameters;

[0147] Among them, represents the power compensation adjustment value of the th area, represents the real-time load status value of the th area, represents the upper limit value of power supply of the th area, represents the power compensation value of the th area, is the real-time power demand value of the th device, represents the average power demand value for the entire area, represents the total number of devices;

[0148] Call the area load category information, set the upper limit of power supply for each area, and combine with the real-time load status to calculate and obtain the power compensation adjustment value for each area. First, set the upper limit of power supply for the area , this value is set according to the power distribution capacity of the construction area and the power supply capacity of the substation. The specific calculation method is that the upper limit of power supply for each area is 90% of the historical maximum power demand of this area, that is , where is the historical maximum power demand of this area. For example, if the historical maximum power demand of area A is 550 kW, then set , and then obtain the real-time load status of each area , this value is obtained by summing up the operating powers of all devices through real-time monitoring. For example, if the total real-time power consumption of the current devices in area A is 550 kW, then , then calculate the power compensation value , is calculated according to the additional distributable power of the current power grid. This value is set to be 30% of the remaining amount of the power grid load in the current period, that is , where is the remaining distributable power of the power grid in the current period. For example, if the remaining power of the current power grid is 500 kW, then , then calculate the average value of the real-time power demand of all devices , this value is obtained by summing up the real-time power demands of all devices and then dividing by the total number of devices. For example, area A contains 5 devices, and their real-time power demands are 100 kW, 120 kW, 110 kW, 90 kW, 130 kW respectively, then:

[0149] ;

[0150] Then calculate :

[0151]

[0152] Substitute into the formula:

[0153] ;

[0154] That is, the power compensation adjustment value of area A , this calculation process is carried out for all areas to obtain the hierarchical power supply adjustment parameters.

[0155] Please refer to Figure 5 , the specific steps for obtaining the energy storage discharge parameters in building construction are as follows:

[0156] S411: Invoke the hierarchical power supply adjustment parameters, calculate the peak load of the equipment in the high-demand area, identify the maximum power demand value of each type of equipment, calculate the total peak power of the equipment in the high-demand area, and obtain the peak load of the equipment in the high-demand area;

[0157] Invoke the hierarchical power supply adjustment parameters, calculate the peak load of the equipment in the high-demand area. First, extract the maximum power demand value of each equipment from the equipment list in the high-demand area. This value is usually determined by the rated power of the equipment or the instantaneous maximum operating power. For example, a high-demand area contains 5 pieces of equipment with rated powers of 120kW, 150kW, 130kW, 110kW, and 140kW respectively. Then the extracted maximum power demand values of each equipment are kW. Next, calculate the total peak power of the equipment in the high-demand area, that is, sum up the maximum power demands of all equipment. For example:

[0158] ;

[0159] Among them, the power demand priority threshold is set based on the load importance of the construction equipment and the degree of influence on the construction progress. This value should ensure that the high-demand equipment gets energy supply first without affecting the power supply stability of the low-demand equipment. Usually, this threshold is calculated from the historical construction equipment load demand data and the deviation of the equipment construction progress. For example, set the threshold . The average urgency of the equipment construction tasks corresponding to this value is between 0.02 and 0.03, ensuring that the emergency equipment operates first. Take the calculated peak power as the peak load of the equipment in the high-demand area, as shown in Table 6.

[0160] Table 6 Statistical table of peak load of equipment in high-demand area

[0161]

[0162] As shown in Table 6, obtain the peak load of the equipment in the high-demand area. This data is used for subsequent calculation of the energy storage release rate.

[0163] S412: Based on the peak load of the equipment in the high-demand area, combined with the current charging state of the energy storage unit, extract the dischargeable power of the energy storage unit, calculate the energy storage release rate, and set the dynamic adjustment range of the energy storage power release according to the current load level and the remaining capacity of the energy storage, and obtain the energy storage release rate;

[0164] Based on the peak load of the equipment in the high-demand area, combined with the current charging state of the energy storage unit, extract the dischargeable power of the energy storage unit, calculate the energy storage release rate. First, obtain the current charging state of the energy storage unit, that is, the remaining available power of the current energy storage battery , this value is read by the energy storage management system. For example, if the current remaining power of a certain energy storage unit is 500 kWh, then obtain the dischargeable power of the energy storage unit. This value is restricted by the battery discharge rate and the maximum discharge power of the energy storage unit. For example, if the rated maximum discharge power of the energy storage unit is 200 kW and its discharge rate is 1C, then the dischargeable power is:

[0165] ;

[0166] Among them, the discharge rate is set based on the type of battery unit and the designed discharge capacity of the energy storage unit. This value is usually provided by the battery manufacturer and adjusted according to different application scenarios. In high-load demand scenarios, appropriately increasing the discharge rate can ensure power supply stability, and at the same time, it needs to meet the battery healthy operation standard. Usually, the discharge rate varies between 0.2C - 0.5C. This time, is adopted because the current remaining capacity of the energy storage unit is 500 kWh. Under the condition of meeting the safe discharge standard, it can provide a power output of 200 kW. Then calculate the energy storage release rate, and based on the current load level and the remaining capacity of the energy storage , set the dynamic adjustment range of the energy storage power release. For example, in the high-demand area, the current real-time load is 600 kW and the remaining power of the energy storage is 500 kWh. Then the energy storage release rate is calculated according to the maximum discharge power:

[0167] ;

[0168] That is, the current discharge rate of the energy storage unit is 0.4C. This value is used for subsequent calculation of energy storage discharge parameters.

[0169] S413: Call the energy storage release rate, set the discharge time period, and use the formula:

[0170] ;

[0171] Calculate the adjusted discharge power to obtain the energy storage discharge parameters for building construction;

[0172] Among them, represents the adjusted discharge power, is the remaining power of the current energy storage unit, is the set discharge rate, is the discharge time period, is the current real-time load, is the set safe load level, is the regional maximum load.

[0173] Call the energy storage release rate, set the discharge time period, calculate the adjusted discharge power, first set the discharge time period This value can be set according to the construction load demand cycle. For example, when the power supply is tight in the high demand area, the discharge time is set to 3 hours. , and then calculate the adjusted discharge power , where the current remaining energy storage capacity is , discharge rate , current real-time load , set safe load level , regional maximum load , substitute into the formula:

[0174] ;

[0175] Among them, the safe load level The setting is based on the load stability requirements of the construction equipment and the overload safety margin of the power supply system. This value is usually set at 80%-90% of the rated power of the equipment to ensure that the equipment can still operate normally under load changes. , because the rated load in the high-demand area is between 600 kW and 700 kW, and the adjusted discharge power is calculated based on a 90% safety factor. , this value is used to set the energy storage discharge parameters for building construction.

[0176] See also Figure 6 ,The specific steps for obtaining the peak-valley electricity price optimization parameters are as follows:

[0177] S511: Call the construction energy storage discharge parameters, combine the peak and valley electricity price fluctuations, collect the load status of the energy storage equipment, calculate the real-time electricity purchase cost, and obtain the current electricity purchase cost;

[0178] Call the construction energy storage discharge parameters, combine the peak and valley electricity price fluctuation value, collect the load status of the energy storage equipment, calculate the real-time electricity purchase cost, and obtain the current peak and valley electricity price information of the power grid. This information is provided by the power supplier and changes dynamically over time. For example, the current peak electricity price is Yuan / kWh, the valley electricity price is Yuan / kWh, and then obtain the current load status of the energy storage device, including the charging power, discharging power and remaining available power of the device. For example, a certain energy storage unit is currently discharging, and the discharge power is kW, the remaining power is kWh, then calculate the real-time electricity purchase cost, electricity purchase cost Calculated by multiplying the current electricity price by the real-time electricity purchase amount. For example, if the current electricity purchase amount is 200 kWh and the real-time electricity price is 1.0 yuan / kWh, then:

[0179] ;

[0180] Obtain the current electricity purchase cost, which is used to calculate the charge and discharge switching threshold of the energy storage device. and peak electricity prices The setting is based on the real-time electricity price fluctuation range announced by the power grid department. This range is usually determined by the supply and demand relationship of the power supply side. For example, the peak hours in the construction area are usually 7:00-10:00 in the morning and 18:00-21:00 in the evening, and the valley hours are 0:00-5:00 at night. During this time period, the electricity price fluctuation range of each construction area has been obtained through the real-time electricity price curve. Based on actual records, the reasonable range is Yuan / kWh, Yuan / kWh.

[0181] S512: Based on the current electricity purchase cost, an innovative formula is used:

[0182] ;

[0183] Calculate and obtain the charge and discharge switching threshold of the energy storage device;

[0184] in, Represents the charge and discharge switching threshold, is the current electricity purchase cost, and are the lowest and highest electricity price costs, and Represent peak and valley electricity prices respectively.

[0185] Based on the current electricity purchase cost, calculate the charge and discharge switching threshold of the energy storage device, and first obtain the lowest electricity price cost and the highest electricity price cost , these values are usually determined by the historical electricity price fluctuation range, for example, Yuan, Yuan, then get the current electricity purchase cost Yuan, into the formula:

[0186] ;

[0187] That is, the charge and discharge switching threshold of the energy storage device Yuan / kWh, this value is used to determine the charging and discharging mode of the energy storage device in the future, among which the lowest electricity price cost and the highest electricity price cost The setting is based on the fluctuation range of daily electricity purchase costs in the construction area in the past quarter. The data comes from the settlement bill of the power grid. After sampling and analyzing the electricity purchase costs of multiple construction areas, it is found that the lowest range of daily electricity purchase costs is stable at yuan, and the highest range is stable at yuan, so set yuan, yuan, ensuring that this value covers most actual operating conditions.

[0188] S513: Invoke the charge-discharge switching threshold of the energy storage device. If the current electricity price is greater than the charge-discharge switching threshold of the energy storage device and the remaining power of the current energy storage device is greater than the minimum power, execute the discharge mode; otherwise, execute the charge mode to obtain the peak-valley electricity price optimization parameter;

[0189] Invoke the charge-discharge switching threshold of the energy storage device. If the current electricity price is greater than the charge-discharge switching threshold of the energy storage device and the remaining power of the current energy storage device is greater than the minimum power, then execute the discharge mode; otherwise, execute the charge mode. First, obtain the current real-time electricity price. For example, the current grid electricity price is 1.0 yuan / kWh. Then, obtain the minimum allowable power of the energy storage device. This value is usually set by the safety threshold of the energy storage device. For example, the minimum power is set to 200 kWh, and the remaining power of the current energy storage device is 500 kWh. Determine whether the current electricity price is higher than the charge-discharge switching threshold yuan / kWh. Since , and the current remaining power , meeting the discharge condition, so execute the discharge mode. If the current electricity price is lower than the charge-discharge switching threshold or the remaining power of the energy storage is lower than the minimum power, then execute the charge mode. Finally, obtain the peak-valley electricity price optimization parameter. Among them, the setting of the minimum power is based on the battery cycle life and discharge depth of the energy storage device. This value is provided by the device manufacturer. For example, the discharge depth of a set of energy storage units should not exceed 40% of its total capacity to ensure the optimal battery life. Assume the total capacity of the energy storage device is 500 kWh, then the minimum safe power kWh. This value ensures that the device does not enter an over-discharge state and at the same time ensures the stable operation of the charge-discharge switching logic.

[0190] Intelligent power resource scheduling system for construction projects. The intelligent power resource scheduling system for construction projects is used to execute the above-mentioned intelligent power resource scheduling method for construction projects. The system includes:

[0191] The load density analysis module obtains the instantaneous power demand data of the electrical equipment in the construction area, calculates the load density value of each area according to the equipment power consumption in each construction area, and obtains the regional load density data;

[0192] The priority evaluation module, based on the regional load density data, invokes the input power, output power and construction task completion rate of the construction equipment, calculates the unit power utilization rate, combines the construction task urgency value of each equipment, calculates the equipment power demand priority, and obtains the construction equipment power priority information;

[0193] The supply distribution compensation module calls the power priority information of construction equipment, screens the areas where high-priority equipment belongs, sets the upper limit of power supply for each area, and combines the real-time load status to adjust the power compensation of equipment in high-demand areas, obtaining hierarchical power supply adjustment parameters;

[0194] The discharge parameter optimization module calls the hierarchical power supply adjustment parameters, sets the discharge time period, and adjusts the discharge power of the energy storage device to obtain the energy storage discharge parameters for building construction;

[0195] The charge-discharge regulation module calls the energy storage discharge parameters for building construction, combines the peak-valley electricity price floating value and the load status of the energy storage device, calculates the current electricity purchase cost at the construction site, sets the charge-discharge switching threshold of the energy storage device, and obtains the peak-valley electricity price optimization parameters.

[0196] The above are only the preferred embodiments of the present invention, and do not limit the present invention in other forms. Any person skilled in the art may use the disclosed technical content to make changes or modifications into equivalent embodiments with equivalent changes and apply them to other fields. However, any simple modification, equivalent change, and modification made to the above embodiments based on the technical essence of the present invention without departing from the technical solution content of the present invention still fall within the protection scope of the technical solution of the present invention.

Claims

1. A method for intelligent dispatching of power resources for construction projects, characterized in that: The following steps are involved: S1: Obtain instantaneous power demand data of electrical equipment in the construction area, calculate the load density value of each area based on the power consumption of equipment in each construction area, and obtain regional load density data; S2: Based on the regional load density data, the input power, output power, and construction task completion rate of the construction equipment are retrieved to calculate the unit power utilization rate. Combined with the construction task urgency value of each equipment, the equipment power demand priority is calculated to obtain the power priority information of the construction equipment; S3: Retrieving the power priority information of the construction equipment, screening the areas to which high-priority equipment belongs, setting the upper limit of power supply for each area, and adjusting the power compensation of equipment in high-demand areas based on the real-time load status to obtain the hierarchical power supply adjustment parameters; S4: Calling the layered power supply adjustment parameters, setting the discharge time period, adjusting the discharge power of the energy storage device, and obtaining the construction energy storage discharge parameters; S5: Calling the construction energy storage discharge parameters, combining the peak-valley electricity price fluctuation value and the energy storage equipment load status, calculating the current electricity purchase cost of the construction site, setting the energy storage equipment charge and discharge switching threshold, and obtaining the peak-valley electricity price optimization parameters; The regional load density data includes the instantaneous power demand of the region, the proportion of equipment operating time, the load growth trend and the power consumption of equipment per unit area. The power priority information of the construction equipment specifically includes the unit power utilization rate, the importance of the process and the urgency of the operation. The layered power supply adjustment parameters include the power supply upper limit of the high-demand area, the power adjustment value of the balanced area and the power reduction in the low-demand area. The energy storage discharge parameters of the construction specifically refer to the energy storage release rate, discharge power distribution and discharge time setting. The peak-valley electricity price optimization parameters include the power adjustment ratio of the peak-valley period, the charge and discharge switching threshold of the energy storage equipment and the calculated value of the electricity purchase cost.

2. The intelligent scheduling method for power resources of a construction project according to claim 1, characterized in that: The steps for obtaining the regional load density data are specifically as follows: S111: Obtain instantaneous power demand data of electrical equipment in the construction area, collect equipment operation time percentage data for each area, classify the data for each area, calculate the equipment operation percentage per unit time in each area, and obtain equipment operation time information; S112: Calculate the power consumption of the equipment in each construction area based on the equipment operating time information and the number of equipment and power consumption data in each construction area to obtain a total power demand value for the equipment; S113: The total power demand value of the equipment is called, and the formula is used in combination with the area of each construction area: ; Calculate and obtain the load density value per unit area to obtain regional load density data; in, represents the regional load density data, Representative The power demand value of each device, Representative The running time of the device, Represents the construction area, Represents the average value of the power demand value of the equipment, Represents the total number of devices.

3. The intelligent scheduling method for power resources of a construction project according to claim 2, characterized in that: The specific steps for obtaining the construction equipment power priority information are as follows: S211: Based on the regional load density data, screening construction areas where the load density exceeds a set threshold, calling the range of the screened construction area, obtaining a list of construction equipment in the area, and obtaining construction equipment data; S212: Call the construction equipment data to obtain the equipment's input power, output power, and construction task completion rate using the formula: ; Calculate unit power utilization data; in, Represents the unit power utilization rate, Represents the total number of devices, Representative The output power of each device, Representative The completion rate of construction tasks for each piece of equipment; S213: Call the unit power utilization rate data, combine it with the construction task urgency value of the construction equipment, and use the formula: ； Calculate equipment power demand priority, sort power demand, and obtain construction equipment power priority information; in, Represents the priority of construction equipment power demand, Represents the unit power utilization rate, Represents the urgency value of the construction task of the current equipment, Representative The construction task urgency value of each equipment.

4. The intelligent scheduling method for power resources of a construction project according to claim 3 is characterized in that: The steps for obtaining the hierarchical power supply adjustment parameters are specifically as follows: S311: Calling the construction equipment power priority information, classifying the equipment according to the preset priority standard, extracting the area to which high-priority equipment belongs, calibrating the equipment distribution in the area, and obtaining high-priority equipment area data; S312: Based on the high-priority device area data, regional classification is performed according to regional load density intervals, load density interval thresholds are set, and high demand areas, balanced areas, and low demand areas are divided. A category identifier is set for each area to obtain regional load category information; S313: Call the regional load category information to set the power supply upper limit for each region, combined with the real-time load status, using the formula: ； Calculate and obtain the power compensation adjustment value of each area to obtain the hierarchical power supply adjustment parameters; in, Representative The power compensation adjustment value of each area, Representative Real-time load status value of each area, Representative The upper limit of power supply in each area, Representative The power compensation value of each area, For the The real-time power demand value of each device, Represents the average power demand value of the entire area, Represents the total number of devices.

5. The intelligent scheduling method for power resources of a construction project according to claim 4, characterized in that: The steps for obtaining the construction energy storage discharge parameters are specifically as follows: S411: Calling the hierarchical power supply adjustment parameters, calculating the peak load of the equipment in the high-demand area, identifying the maximum power demand value of each device, calculating the total peak power of the equipment in the high-demand area, and obtaining the peak load of the equipment in the high-demand area; S412: Based on the peak load of the equipment in the high-demand area and the current charge state of the energy storage unit, extract the dischargeable power of the energy storage unit, calculate the energy storage release rate, set the dynamic adjustment range of energy storage power release according to the current load level and the remaining energy storage capacity, and obtain the energy storage release rate; S413: Call the energy storage release rate and set the discharge time period using the formula: ; Calculate the adjusted discharge power and obtain the construction energy storage discharge parameters; in, represents the adjusted discharge power, is the remaining power of the current energy storage unit, is the set discharge rate, is the discharge time period, is the current real-time load, For the set safe load level, The maximum load of the area.

6. The intelligent scheduling method for power resources of a construction project according to claim 5, characterized in that: The steps for obtaining the peak-valley electricity price optimization parameters are as follows: S511: Calling the construction energy storage discharge parameters, combining the peak and valley electricity price fluctuation value, collecting the load status of the energy storage equipment, calculating the real-time electricity purchase cost, and obtaining the current electricity purchase cost; S512: Based on the current electricity purchase cost, an innovative formula is used: ； Calculate and obtain the charge and discharge switching threshold of the energy storage device; in, Represents the charge and discharge switching threshold, is the current electricity purchase cost, and are the lowest and highest electricity price costs, and represent peak and valley electricity prices respectively; S513: Call the charge and discharge switching threshold of the energy storage device. If the current electricity price is greater than the charge and discharge switching threshold of the energy storage device and the remaining power of the current energy storage device is greater than the minimum power, execute the discharge mode; otherwise, execute the charge mode to obtain the peak and valley electricity price optimization parameters.

7. The intelligent dispatching system of power resources for construction projects is characterized by: The method for intelligent scheduling of power resources for a construction project according to any one of claims 1 to 6, wherein the system comprises: The load density analysis module obtains the instantaneous power demand data of electrical equipment in the construction area, calculates the load density value of each area based on the power consumption of equipment in each construction area, and obtains regional load density data; The priority evaluation module calculates the unit power utilization rate based on the regional load density data, calculates the equipment power demand priority based on the construction task urgency value of each equipment, and obtains the power priority information of the construction equipment; The supply allocation compensation module calls the power priority information of the construction equipment, sets the power supply upper limit for each area, performs power compensation adjustment on the equipment in the high-demand area, and obtains the layered power supply adjustment parameters; The discharge parameter optimization module calls the layered power supply adjustment parameters, sets the discharge time period, adjusts the discharge power of the energy storage device, and obtains the construction energy storage discharge parameters; The charge and discharge regulation module calls the construction energy storage discharge parameters, calculates the current electricity purchase cost of the construction site, sets the charge and discharge switching threshold of the energy storage equipment, and obtains the peak and valley electricity price optimization parameters.

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