Building project electric power resource intelligent scheduling method and system

Abstract

The invention relates to the technical field of power dispatching, in particular to a building project power resource intelligent dispatching method and system, and the method comprises the following steps: obtaining instantaneous power demand data of electric equipment in a building construction region, calculating a load density value of each region according to the power consumption of the equipment in each construction region, and calculating a load density value of each region; and obtaining regional load density data. According to the method, the load density value of each region is calculated by using the instantaneous power demand data of the electric equipment in the construction region, and the discharge power of the energy storage equipment is adjusted in combination with the current charging state and the dischargeable power of the energy storage unit, so that the energy storage equipment can dynamically adapt to the fluctuation characteristics of the construction load; and by combining the peak-valley electricity price floating value and the load state of the energy storage equipment, the charging and discharging switching threshold value of the energy storage equipment is set, so that the electric energy regulation and control in the peak-valley period are more flexible, the peak electricity purchasing cost is reduced, and the economical efficiency of energy dispatching is improved.

Description

Technical Field

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

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

[0003] Among them, the intelligent dispatching method of power resources in construction projects involves intelligent allocation and optimization of power loads within the scope of construction projects to reduce energy loss and improve power efficiency. This method can be applied to scenarios such as high-rise buildings, industrial parks, and commercial complexes. Combined with the characteristics of building power demand, the power dispatching strategy is optimized to achieve load balancing, peak-valley reduction, and backup power management. By integrating power prediction algorithms, dynamic dispatching strategies, and distributed energy management technologies, the method can improve the stability of building power supply, reduce operating costs, and promote the intelligent and efficient use of building power resources.

[0004] Traditional methods are difficult to accurately reflect the dynamic changes of local regional loads, resulting in insufficient power supply in local high-load areas during peak hours, and possible energy waste in low-load areas. The power allocation strategy is based mainly on the load level of the power grid, and fails to fully combine the demand characteristics of the construction task, resulting in key equipment not being given 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 easily leads to low energy storage utilization. Peak and valley electricity price regulation methods are mostly based on fixed time period switching, and fail to make dynamic adjustments based on the load characteristics of the construction task, resulting in the failure to fully utilize low-priced electricity, increased electricity costs during high-priced periods, and reduced economic efficiency of construction projects. 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 object, the present invention adopts the following technical solution: a method for intelligent dispatching of electric power resources for a construction project, comprising the following steps: S1: Obtain instantaneous power demand data of electrical equipment in the construction area, calculate the load density value of each area according to 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 called to calculate the unit power utilization rate, and the equipment power demand priority is calculated in combination with the construction task urgency value of each equipment to obtain the power priority information of the construction equipment; S3: calling the power priority information of the construction equipment, screening the area to which the high-priority equipment belongs, setting the upper limit of the power supply for each area, and adjusting the power compensation of the equipment in the high-demand area in combination with 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 floating value and the load status of the energy storage equipment, 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.

[0007] As a further solution of the present invention, 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 construction equipment power priority information specifically includes the unit power utilization rate, the process importance and the operation urgency; 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 construction energy storage discharge parameters specifically refer to the energy storage release rate, discharge power allocation and discharge time setting; the peak-valley electricity price optimization parameters include the power adjustment ratio of the peak-valley period, the energy storage equipment charge and discharge switching threshold and the electricity purchase cost calculation value.

[0008] As a further solution of the present invention, 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 ratio data of each area, classify the data of each area, calculate the ratio of equipment operation per unit time in each area, and obtain equipment operation time information; S112: Based on the equipment operation time information, combined with the number of equipment and power consumption data in each construction area, the equipment power consumption of each construction area is calculated to obtain the total equipment power demand value; S113: calling the total power demand value of the equipment, combining the area of ​​each construction area, using the formula: ; Obtain the load density value per unit area through calculation, and obtain the regional load density data; in, Represents 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 of the equipment, Represents the total number of devices.

[0009] As a further solution of the present invention, the step of acquiring the construction equipment power priority information is specifically as follows: S211: Based on the regional load density data, filter the construction area whose load density exceeds the set threshold, call the filtered construction area range, obtain the list of construction equipment in the area, and obtain the construction equipment data; S212: Call the construction equipment data to obtain the input power, output power and construction task completion rate of the equipment, 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 equipment; S213: calling the unit power utilization rate data, combining the construction task urgency value of the construction equipment, and using 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.

[0010] As a further solution of the present invention, the step of obtaining the hierarchical power supply adjustment parameter is 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 the high-priority equipment belongs, calibrating the equipment distribution in the area, and obtaining the high-priority equipment area data; S312: Based on the high-priority equipment area data, according to the regional load density interval, the area is classified, the load density interval threshold is set, and the high demand area, the balanced area and the low demand area are divided, and the category identification of each area is set to obtain the regional load category information; S313: Call the regional load category information, set the upper limit of power supply for each region, and use the formula based on the real-time load status: ; Calculate and obtain the power compensation adjustment value of each area to obtain the hierarchical power supply adjustment parameter; 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.

[0011] As a further solution of the present invention, the steps for obtaining the construction energy storage discharge parameters are specifically as follows: S411: calling the hierarchical power supply adjustment parameter, 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 charging 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, set the discharge time period, and use 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, To set the safe load level, The maximum load of the area.

[0012] As a further solution of the present invention, the step of obtaining the peak-valley electricity price optimization parameters is specifically as follows: S511: calling the construction energy storage discharge parameter, combining the peak and valley electricity price floating value, collecting the load state 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 respectively, and Represent peak and valley electricity prices respectively.

[0013] S513: calling 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, executing the discharge mode, otherwise executing the charge mode, and obtaining the peak-valley electricity price optimization parameters.

[0014] A construction project power resource intelligent dispatching system, the construction project power resource intelligent dispatching system is used to execute the above construction project power resource intelligent dispatching method, 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 according to the power consumption of equipment in each construction area, and obtains the 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 construction equipment power priority information; The supply allocation compensation module calls the power priority information of the construction equipment, sets the upper limit of the power supply of each area, performs power compensation adjustment on the equipment in the high-demand area, and obtains the hierarchical 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.

[0015] Compared with the prior art, the advantages and positive effects of the present invention are: In the present invention, by utilizing the instantaneous power demand data of electrical equipment in the construction area, the load density value of each area is calculated, so that the spatial distribution of the construction load has dynamic perception ability, and refined management for different load areas is realized. According to the input power, output power and construction task completion rate of the construction equipment, the power demand priority of the equipment is calculated, so that the power distribution can adapt to the construction needs of different equipment, optimize the utilization efficiency of electric energy resources, divide the high-demand area, the balanced area and the low-demand area according to the regional load density, and adjust the power compensation of the equipment in the high-demand area in combination with the real-time load status, so that the power distribution of the construction site is more flexible and the probability of local overload is reduced. In combination with the current charging state and the 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, so that the energy storage device can dynamically adapt to the fluctuation characteristics of the construction load, improve the power supply stability during the peak power consumption period, and set the charge and discharge switching threshold of the energy storage device in combination with the peak-valley electricity price floating value and the load state of the energy storage device, so that the power regulation during the peak-valley period is more flexible, the peak power purchase cost is reduced, and the economy of energy scheduling is improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 It is a schematic diagram of the workflow of the present invention; Figure 2 A flow chart for obtaining regional load density data for the present invention; Figure 3 A flow chart of obtaining construction equipment power priority information according to the present invention; Figure 4 A flow chart for obtaining hierarchical power supply adjustment parameters of the present invention; Figure 5 A flow chart for obtaining energy storage discharge parameters for construction in accordance with the present invention; Figure 6 The present invention is a flow chart for obtaining peak-valley electricity price optimization parameters. DETAILED DESCRIPTION

[0017] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0018] In the description of the present invention, it should be understood that the terms "length", "width", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside" and the like indicate positions or positional relationships based on the positions or positional relationships shown in the drawings, and 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, and therefore cannot be understood as limiting the present invention. In addition, in the description of the present invention, "multiple" means two or more, unless otherwise clearly and specifically defined.

[0019] Embodiment 1

[0020] See also Figure 1 The present invention provides a technical solution: a method for intelligent dispatching of electric power resources for a construction project, comprising the following steps: S1: Obtain the instantaneous power demand data of electrical equipment in the construction area, collect the equipment operation time ratio and load growth trend of each area, calculate the load density value of each area according to the equipment power consumption, equipment quantity and operation time per unit area of ​​each construction area, and obtain the regional load density data; 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, including tower cranes, electric welders, and concrete mixers. Call the input power, output power, and construction task completion rate of the construction equipment, calculate the unit power utilization rate, and combine the construction task urgency value of each equipment to calculate the equipment power demand priority, and obtain the power priority information of the construction equipment; S3: Call the power priority information of construction equipment, filter the area to which high-priority equipment belongs, divide the area into high-demand area, balanced area and low-demand area according to the regional load density range, set the power supply upper limit of each area, and adjust the power compensation of the equipment in the high-demand area in combination with the real-time load status to obtain the hierarchical power supply adjustment parameters; S4: Calling the layered power supply adjustment parameters, calculating the peak load of the equipment in the high-demand area, combining the current charging state and the dischargeable power of the energy storage unit, calculating the energy storage release rate, setting the discharge time period, adjusting the discharge power of the energy storage equipment, and obtaining the energy storage discharge parameters for the construction; 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 of the construction site, set the energy storage equipment charge and discharge switching threshold, and obtain the peak-valley electricity price optimization parameters.

[0021] Regional load density data include regional instantaneous power demand, equipment operating time ratio, load growth trend and equipment power consumption per unit area. Construction equipment power priority information includes unit power utilization rate, process importance and operation urgency. Layered power supply adjustment parameters include power supply upper limit in high-demand area, power adjustment value in balanced area and power reduction in low-demand area. Construction energy storage discharge parameters refer to energy storage release rate, discharge power allocation and discharge time setting. Peak-valley electricity price optimization parameters include power adjustment ratio in peak-valley period, charge and discharge switching threshold of energy storage equipment and calculated value of electricity purchase cost.

[0022] See also Figure 2 , the specific steps for obtaining regional load density data are: S111: Obtain instantaneous power demand data of electrical equipment in the construction area, collect equipment operation time ratio data of each area, classify the data of each area, calculate the ratio of equipment operation per unit time in each area, and obtain equipment operation time information; Obtain the instantaneous power demand data of electrical equipment in the construction area. By deploying power monitoring equipment in the construction area and installing power sensors at each device end for data collection, the power sensor of each device records its operating 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 devices according to the device number and records the power changes of each device according to the timestamp. For example, there are 10 welding machines, 5 tower cranes, and 3 mixers in a construction area. The instantaneous power demand of the welding machines is , , The instantaneous power requirements of the mixer are , Collect the running time data of all equipment during the running time period of each equipment, and count the running time proportion of each equipment in the total construction time of the construction area. For example, if a certain equipment runs for 8 hours a day, and the total running time of the construction area is 24 hours, then the running time proportion of the equipment is , the operating time percentage data of all equipment is stored in the database. Then, the power demand data and operating time percentage data of all equipment in the construction area are classified and collected, and divided according to the equipment category. For example, tower crane equipment is classified as "lifting category", electric welders are classified as "welding category", and mixers are classified as "mixing category". The operating percentage value of equipment in each category per unit time is calculated respectively. When calculating specifically, the operating time of each equipment is summed up to obtain the total operating time of the category, and then the proportion of the total operating time of the equipment in this category to the total construction time is calculated. For example, the total operating time of welding equipment is 30 hours, and the total construction time is 100 hours, then the operating percentage of welding equipment is Finally, all the equipment operation time information is organized into a table, as shown in Table 1. The benchmark value setting for the equipment operation time ratio needs to be set based on the average equipment utilization data in the construction area. If the standard equipment operation time ratio of a construction project is between 30% and 50%, then equipment with a ratio of less than 30% may be inefficient equipment and the construction plan needs to be adjusted. Equipment with a ratio of more than 50% may have an overload operation risk and equipment scheduling needs to be optimized. The benchmark value is set based on historical construction data and dynamically adjusted in combination with the characteristics of the construction area.

[0023] Table 1 Statistics of equipment operation time in the construction area

[0024] As shown in Table 1, the operating time proportion of each category of equipment is used to subsequently calculate the power demand of the equipment.

[0025] S112: Based on the equipment operation time information, combined with the number of equipment and power consumption data in each construction area, the equipment power consumption of each construction area is calculated to obtain the total equipment power demand value; Based on the equipment operation time information, the power consumption data of each device is obtained and combined with the equipment operation time to 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 tower crane is , and its operating time is 20 hours, then the total power consumption of the device is For the entire construction area, the power consumption data of all equipment are summarized and calculated, that is, the total power demand value of the equipment in the construction area is equal to the sum of the power consumption of all equipment. For example, the total power demand of lifting equipment is 2000kWh, the total power demand of welding equipment is 1500kWh, and the total power demand of mixing equipment is 1000kWh. Then the total power demand value of equipment is This data is used to calculate the load density per unit area in the subsequent calculation process. In order to ensure the accuracy of the power consumption data, the power demand adjustment coefficient needs to be introduced during the equipment power calculation process. , this coefficient is used to correct the calculation deviation caused by equipment power fluctuation. The setting of the load fluctuation range of the same type of equipment should be referenced. For example, for a welding machine, the instantaneous power fluctuation range is about 10%, so For tower cranes, since they are in a low-load state for a long time, the power fluctuation is small. In the power calculation process, the power consumption of each device needs to be multiplied by the corresponding The value is corrected to obtain a more accurate power requirement.

[0026] S113: Call the total power demand value of the equipment, combined with the area of ​​each construction area, using the formula: ; Obtain the load density value per unit area through calculation, and obtain the regional load density data; in, Represents 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 of the equipment, Represents the total number of devices.

[0027] Call the total power demand value of the equipment, combine 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 , then use the formula: ; in, is the total power demand of the equipment, i.e. 4500kWh, is the average of the power requirements of all devices, that is: ; calculate : ; The total number of devices is , then the variance term is calculated as: ; Substituting the data into the formula: ; When calculating regional load density, it is necessary to set the regional load density warning threshold This threshold is used to determine whether the construction area is in an overload state. It is set according to the power load safety standard of the construction industry. For example, for a medium-sized construction area, the load density per unit area is usually controlled at to So it can be set If the calculated load density exceeds the threshold, load adjustment is required. The result shows that the load density per unit area in the construction area is 2.37. , which can be used for power load assessment to optimize the power dispatching plan in the construction area.

[0028] See also Figure 3,The specific steps for obtaining the power priority information of construction equipment are as follows: S211: Based on the regional load density data, filter the construction area whose load density exceeds the set threshold, call the filtered construction area range, obtain the list of construction equipment in the area, and obtain the construction equipment data; Based on the regional load density data, the construction areas with load density exceeding the set threshold are screened. The load density threshold needs to be determined. The threshold can be set according to the load capacity of the power grid in the construction area, the maximum power carrying capacity of the equipment, and the safe load standard of the power facilities. For example, the safe operation standard of the power grid usually requires that the regional load density does not exceed 2.5 kW / m2 to ensure the stability of the power supply. Therefore, the threshold is set to , traverse the load density data of all construction areas, and convert the load density Exceed For example, if the load density of a construction area is , then the area meets the screening conditions, it is marked as a high-load area, and the area number is called to store it 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 electric welders and 3 concrete mixers in the area, so the specific equipment list is obtained, as shown in Table 2.

[0029] Table 2 Equipment list for high load density construction area

[0030] As shown in Table 2, the construction equipment data is obtained, and the unit power utilization rate will be calculated based on the data later.

[0031] S212: Call the construction equipment data to obtain the input power, output power and construction task completion rate of the equipment, 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 equipment; 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 by the equipment from the power grid when it 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: ; 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 as , and then obtain the equipment's construction task completion rate , which is obtained through construction progress statistics. For example, if the current task progress of the equipment is 80%, then , and finally into the formula: ; Calculate the unit power utilization rate. For example, a construction area contains 3 devices with input powers of 5.1kW, 15.3kW, and 10.2kW, and output powers of 4.5kW, 13.0kW, and 8.5kW, respectively. The corresponding construction task completion rates are 0.8, 0.9, and 0.85. Then: ; ; ; Unit power utilization rate Used to measure the energy efficiency of equipment. , indicating that 73.6% of the power consumed by the device is effectively used, and the rest is loss. This value is usually set to a range greater than 0.7 to ensure that the device is at a reasonable energy utilization level. This data is used to subsequently calculate the power demand priority of the device.

[0032] S213: Call the unit power utilization rate data, combine 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.

[0033] Call the unit power utilization data, combine 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 , which can be calculated by the difference between the construction task deadline, 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, the urgency is calculated as: ; Get the total urgency value of all construction equipment For example, the urgency values ​​of the five equipment in the construction area are 0.02, 0.03, 0.025, 0.018, and 0.022 respectively, then: ; Will And the urgency values ​​are substituted into the formula: ; For example, if the urgency value of a device is 0.02, then: ; Construction task urgency value It is used to reflect the urgency of the current task of the equipment. When setting this value, the gap between the planned construction period and the current construction period of the equipment needs to be considered, and a linear proportional calculation is used. Usually, the urgency value should fall in the range of 0-0.05. If it exceeds 0.05, it means that the task is seriously delayed and needs to be prioritized. Finally, the power demand priority of all equipment is calculated and sorted from high to low to form the power priority information of construction equipment, as shown in Table 3.

[0034] Table 3 Construction equipment power demand priority table

[0035] As shown in Table 3, the power demand priority of construction equipment is calculated and the equipment is sorted according to the degree of demand.

[0036] See also Figure 4 , the specific steps for obtaining the hierarchical power supply adjustment parameters are as follows: S311: calling the power priority information of the construction equipment, classifying the equipment according to the preset priority standard, extracting the area to which the high-priority equipment belongs, calibrating the equipment distribution in the area, and obtaining the high-priority equipment area data; Call the construction equipment power priority information and classify the equipment according to the preset priority standard. First, set the priority standard, which can be based on the equipment power demand priority threshold To divide, The setting basis is the power demand of the construction task and the urgency of equipment scheduling. The specific calculation method is to collect historical data of construction tasks and calculate the average value of the power demand priority of all equipment. , and set the threshold for The 95% quantile of , to ensure that the selection of high-priority equipment is statistically significant. For example, in the past 100 construction tasks, the 95% quantile power demand priority value is calculated to be 0.15, then set , traverse the power demand priority of all construction equipment ,like , it is marked as a high priority device. , it is marked as a normal priority device. For example, the power priorities of the devices in the construction area are 0.192, 0.16, 0.141, 0.128, and 0.115, respectively. The power priorities of devices EQ001 and EQ002 are greater than , so it is classified as a high-priority device. Then, the area to which the high-priority device belongs is extracted. First, the construction area number corresponding to each high-priority device is obtained, and the equipment list is traversed to record the areas where all high-priority devices are 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 devices, which are marked as high-priority device areas. Finally, the equipment distribution in the area is drawn, that is, the spatial position of the high-priority equipment in the construction area is recorded, and the regional equipment data is generated, as shown in Table 4.

[0037] Table 4 High priority equipment area data

[0038] As shown in Table 4, high priority equipment area data is obtained, which is used for subsequent load density classification.

[0039] S312: Based on the high-priority equipment area data, according to the regional load density interval, the area is classified, the load density interval threshold is set, and the high demand area, the balanced area and the low demand area are divided, and the category identification of each area is set to obtain the regional load category information; Based on the high-priority equipment area data, the area is classified according to the regional load density interval, the load density interval threshold is set, and the high demand area, balanced area and low demand area are divided. First, the load density interval threshold is set and , and The setting basis is the power distribution capacity of the construction area and the historical data of equipment operation load. The specific calculation method is to count the load density data of all construction areas and calculate its average value. and standard deviation , and set for ,set up for For example, the mean value of the load density data for all construction areas is calculated to be 1.9 kW / m2, and the standard deviation is 0.4 kW / m2. , , and then traverse the load density of all high-priority devices in the area ,like , it is marked as a high demand area. , then it is marked as the equilibrium area. , it is marked as a low demand area. For example, 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, the regional category identification is stored in the database, as shown in Table 5.

[0040] Table 5 Regional load category information

[0041] As shown in Table 5, the regional load category information is obtained, which is used for subsequent power compensation adjustment calculations.

[0042] S313: Call the regional load category information, set the upper limit of power supply for each region, and use the formula based on the real-time load status: ; Calculate and obtain the power compensation adjustment value of each area to obtain the hierarchical power supply adjustment parameter; 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; Call the regional load category information, set the upper limit of power supply for each area, combine the real-time load status, calculate and obtain the power compensation adjustment value for each area, first set the upper limit of regional power supply , which 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 the power supply in each area is 90% of the historical maximum power demand of the area, that is, ,in is the historical maximum power demand of the 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 , which is obtained by summing the operating power of all devices in real time. 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 , Based on the additional distributable power of the current power grid, this value is set to 30% of the remaining power grid load in the current period, that is, ,in is the remaining power that can be allocated by the power grid in the current period. For example, if the current remaining power of the power grid is 500 kW, then , and then calculate the real-time power demand average of all devices , which is obtained by summing the real-time power requirements of all devices and dividing it by the total number of devices. For example, area A contains 5 devices, and their real-time power requirements are 100 kW, 120 kW, 110 kW, 90 kW, and 130 kW respectively. Then: ; Then calculate : Substituting into the formula: ; That is, the power compensation adjustment value of area A ,This calculation process is performed on all regions to obtain the hierarchical power supply adjustment parameters.

[0043] See also Figure 5 , the specific steps for obtaining the construction energy storage discharge parameters are 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; Call the hierarchical power supply adjustment parameters to calculate the peak load of the equipment in the high-demand area. First, extract the maximum power demand value of each device 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 devices with rated powers of 120kW, 150kW, 130kW, 110kW, and 140kW respectively. The maximum power demand value of each device is extracted as follows: kW, and then calculate the total peak power of the equipment in the high demand area, that is, sum the maximum power demand of all equipment, for example: ; Among them, the power demand priority threshold The setting of is based on the load importance of the construction equipment and the impact of the construction progress. This value should ensure that high-demand equipment is given priority in energy supply without affecting the power supply stability of low-demand equipment. Usually, this threshold is calculated based on the historical construction equipment load demand data and the equipment construction progress deviation. For example, the threshold is set The average urgency of the equipment construction task corresponding to this value is between 0.02 and 0.03, ensuring that emergency equipment operates first, and the calculated peak power is used as the peak load of the equipment in the high-demand area, as shown in Table 6.

[0044] Table 6 Statistics of equipment peak load in high demand areas

[0045] As shown in Table 6, the peak load of equipment in the high-demand area is obtained, and this data is used for the subsequent calculation of the energy storage release rate.

[0046] S412: Based on the peak load of the equipment in the high-demand area and the current charging state of the energy storage unit, the dischargeable power of the energy storage unit is extracted, the energy storage release rate is calculated, and according to the current load level and the remaining energy storage capacity, the dynamic adjustment range of the energy storage power release is set to obtain the energy storage release rate; Based on the peak load of the equipment in the high-demand area, combined with the current charging state of the energy storage unit, the dischargeable power of the energy storage unit is extracted and the energy storage release rate is calculated. First, the current charging state of the energy storage unit is obtained, that is, the remaining available power of the current energy storage battery. , this value is read through the energy storage management system. For example, the current remaining power of a certain energy storage unit is 500 kWh. Then the dischargeable power of the energy storage unit is obtained. This value is limited by the battery discharge rate and the maximum discharge power of the energy storage unit. For example, the rated maximum discharge power of the energy storage unit is 200 kW, and its discharge rate is 1C, then the dischargeable power is: ; Among them, the discharge rate The setting depends on the type of battery cell 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 while meeting the battery health operation standards. The discharge rate usually varies between 0.2C-0.5C. This time, , because the remaining capacity of the energy storage unit is 500 kWh, and it can provide 200 kW power output when the safety discharge standard is met. Then the energy storage release rate is calculated based on the current load level. Remaining capacity of energy storage , set the dynamic adjustment range of energy storage power release. For example, if the current real-time load in the high-demand area is 600kW and the remaining energy storage capacity is 500 kWh, then the energy storage release rate Calculated according to the maximum discharge power: ; That is, the current discharge rate of the energy storage unit is 0.4C, and this value is used for subsequent calculation of energy storage discharge parameters.

[0047] 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, To set the safe load level, The maximum load of the area.

[0048] 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: ; 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, calculated according to a 90% safety factor, that is, the adjusted discharge power , this value is used to set the energy storage discharge parameters for building construction.

[0049] See also Figure 6 , the specific 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 floating value, collecting the load state of the energy storage equipment, calculating the real-time electricity purchase cost, and obtaining the current electricity purchase cost; Call the construction energy storage discharge parameters, combine the peak and valley electricity price floating 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 discharging power is kW, the remaining power is kWh, and 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: ; Get the current electricity purchase cost. This data 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, which is usually determined by the supply and demand relationship of the power supply side. For example, the peak hours of 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. According to actual records, the reasonable range is Yuan / kWh, Yuan / kWh.

[0050] 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 respectively, and Represent peak and valley electricity prices respectively.

[0051] 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: ; 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 equipment 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 power grid settlement bill. 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, while the highest range is stable at Yuan, so set Yuan, Yuan, ensuring that this value covers most actual operating situations.

[0052] S513: calling 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, executing the discharge mode, otherwise executing the charge mode, and obtaining the peak-valley electricity price optimization parameters; 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, the discharge mode is executed, otherwise the charging mode is executed. 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 and discharge switching threshold Yuan / kWh, due to , and the current remaining power , the discharge conditions are met, so the discharge mode is executed. If the current electricity price is lower than the charge-discharge switching threshold, or the remaining energy storage capacity is lower than the minimum capacity, the charging mode is executed, and finally the peak-valley electricity price optimization parameters are obtained. Among them, the minimum capacity is set according to the battery cycle life and discharge depth of the energy storage device. This value is provided by the equipment manufacturer. For example, the discharge depth of a group of energy storage units should not exceed 40% of its total capacity to ensure the optimal battery life. Assuming the total capacity of the energy storage device is 500 kWh, the minimum safe capacity is kWh, this value ensures that the device does not enter the over-discharge state and ensures the stable operation of the charge and discharge switching logic.

[0053] The intelligent dispatching system for electric power resources of construction projects is used to execute the intelligent dispatching method for electric power resources of construction projects. The system includes: 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 according to the power consumption of equipment in each construction area, and obtains the regional load density data; The priority assessment module uses the input power, output power and construction task completion rate of the construction equipment based on the regional load density data, calculates the unit power utilization rate, and combines the construction task urgency value of each equipment to calculate the equipment power demand priority and obtain the power priority information of the construction equipment; The supply allocation compensation module calls the power priority information of construction equipment, screens the areas to which high-priority equipment belongs, sets the upper limit of power supply for each area, and adjusts the power compensation of equipment in high-demand areas in combination with the real-time load status to obtain the hierarchical 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 equipment, and obtains the construction energy storage discharge parameters; The charge and discharge regulation module calls the construction energy storage discharge parameters, combines the peak and valley electricity price floating value and the load status of the energy storage equipment, 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.

[0054] The above are only preferred embodiments of the present invention and are not intended to limit the present invention in other forms. Any technician familiar with the profession may use the technical contents disclosed above to change or modify them 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 of the present invention still falls within the protection scope of the technical solution of the present invention.

Claims

1. A method for intelligent dispatching of electric power resources for a construction project, 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 according to 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 called to calculate the unit power utilization rate, and the equipment power demand priority is calculated in combination with the construction task urgency value of each equipment to obtain the power priority information of the construction equipment; S3: calling the power priority information of the construction equipment, screening the area to which the high-priority equipment belongs, setting the upper limit of the power supply for each area, and adjusting the power compensation of the equipment in the high-demand area in combination with 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 floating value and the load status of the energy storage equipment, 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.

2. The intelligent dispatching method for electric power resources of a construction project according to claim 1 is characterized in that: 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 construction energy storage discharge parameters specifically refer to the energy storage release rate, discharge power allocation and discharge time setting. The peak-valley electricity price optimization parameters include the power adjustment ratio of the peak-valley period, the charging and discharging switching threshold of the energy storage equipment and the calculated value of the electricity purchase cost.

3. The intelligent dispatching method for electric power resources of a construction project according to claim 2 is 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 ratio data of each area, classify the data of each area, calculate the ratio of equipment operation per unit time in each area, and obtain equipment operation time information; S112: Based on the equipment operation time information, combined with the number of equipment and power consumption data in each construction area, the equipment power consumption of each construction area is calculated to obtain the total equipment power demand value; S113: calling the total power demand value of the equipment, combining the area of ​​each construction area, using the formula: ； Obtain the load density value per unit area through calculation, and obtain the regional load density data; in, Represents 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 of the equipment, Represents the total number of devices.

4. The intelligent dispatching method for electric power resources of a construction project according to claim 3 is characterized in that: The steps for obtaining the construction equipment power priority information are specifically as follows: S211: Based on the regional load density data, filter the construction area whose load density exceeds the set threshold, call the filtered construction area range, obtain the list of construction equipment in the area, and obtain the construction equipment data; S212: Call the construction equipment data to obtain the input power, output power and construction task completion rate of the equipment, 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 equipment; S213: calling the unit power utilization rate data, combining the construction task urgency value of the construction equipment, and using 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.

5. The intelligent dispatching method for electric power resources of a construction project according to claim 4 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 the high-priority equipment belongs, calibrating the equipment distribution in the area, and obtaining the high-priority equipment area data; S312: Based on the high-priority equipment area data, according to the regional load density interval, the area is classified, the load density interval threshold is set, and the high demand area, the balanced area and the low demand area are divided, and the category identification of each area is set to obtain the regional load category information; S313: Call the regional load category information, set the upper limit of power supply for each region, and use the formula based on the real-time load status: ； Calculate and obtain the power compensation adjustment value of each area to obtain the hierarchical power supply adjustment parameter; 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.

6. The intelligent dispatching method for electric power resources of a construction project according to claim 5 is characterized in that: The steps for obtaining the construction energy storage discharge parameters are specifically as follows: S411: calling the hierarchical power supply adjustment parameter, 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 charging 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, set the discharge time period, and use 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, To set the safe load level, The maximum load of the area.

7. The intelligent dispatching method for electric power resources of a construction project according to claim 6 is characterized in that: The steps for obtaining the peak-valley electricity price optimization parameters are specifically as follows: S511: calling the construction energy storage discharge parameter, combining the peak and valley electricity price floating value, collecting the load state 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 respectively, and Represent peak and valley electricity prices respectively; S513: calling 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, executing the discharge mode, otherwise executing the charge mode, and obtaining the peak-valley electricity price optimization parameters.

8. Intelligent dispatching system for power resources of construction projects, characterized by: According to the method for intelligent dispatching of electric power resources for a construction project according to any one of claims 1 to 7, 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 according to the power consumption of equipment in each construction area, and obtains the 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 construction equipment power priority information; The supply allocation compensation module calls the power priority information of the construction equipment, sets the upper limit of the power supply of each area, performs power compensation adjustment on the equipment in the high-demand area, and obtains the hierarchical 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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