Controllable load-oriented aggregation regulation method and system

Abstract

This invention relates to the field of power grid control technology, specifically disclosing a method and system for aggregated controllable load control, including a water-cooled unit module, an electricity consumption analysis module, and a control module. The water-cooled unit module is used to construct a virtual power plant. During the off-peak electricity consumption period in the area where the virtual power plant is located, the water-cooled unit refrigerates the medium and uses the refrigerated medium to cool the indoor environment during the peak electricity consumption period. The electricity consumption analysis module predicts the off-peak and peak electricity consumption periods based on historical electricity consumption data of water-cooled units in the area excluding the virtual power plant. This invention achieves peak shaving and valley filling as required by the power grid by uniformly distributing the electricity-consuming medium during off-peak periods through refrigeration. Although refrigerating the medium requires additional electricity consumption, it avoids the high electricity prices during peak periods, thus reducing the overall electricity cost.

Description

Technical Field

[0001] This invention relates to the field of power grid control technology, specifically to a method and system for aggregated control of controllable loads. Background Technology

[0002] In electricity consumption scenarios, summer is the season most prone to problems, partly due to the widespread and continuous use of air conditioning. Especially when both businesses and residents reach peak electricity consumption simultaneously, power rationing or production shutdowns are frequently necessary. To avoid such situations, the optimal solution is to use demand-side load regulation.

[0003] One current approach is to establish load virtual power plants. Virtual power plants typically include distributed power sources, energy storage devices, and controllable loads. In particular, load virtual power plants composed of water as the energy storage medium can be both energy storage devices and controllable loads used for temperature control. They can store electrical energy during off-peak hours and stop the operation of air conditioning compressors during peak hours, using low-temperature water for cooling, thereby cooperating with the power grid to achieve peak shaving during the electricity consumption process.

[0004] However, the problem with this process is that the control of water-cooled air conditioners is not precise enough. If water-cooled air conditioners with increased standby power consumption due to various reasons start too early, it will lead to an increase in overall power consumption during the subsequent maintenance process, thus wasting power resources. In view of this, the present invention proposes an aggregated control method and system for controllable loads to perform overall aggregated control of multiple virtual power plants with water-cooled units, thereby reducing additional power consumption. Summary of the Invention

[0005] The purpose of this invention is to provide a method and system for aggregated control of controllable loads, solving the following technical problems: The question is how to achieve overall aggregation and control of multiple virtual power plants with water-cooled units to reduce additional power consumption.

[0006] The objective of this invention can be achieved through the following technical solutions: A converged control system for controllable loads includes: a water-cooled unit module, an electricity consumption analysis module, and a control module. The water-cooled unit module is used to construct a virtual power plant. The water-cooled unit refrigerates the medium during the off-peak electricity consumption period in the area where the virtual power plant is located, and uses the refrigerated medium to cool the indoor temperature during the peak electricity consumption period. The electricity consumption analysis module predicts and obtains the low-end and high-end electricity consumption periods based on historical electricity consumption data of water-cooled units in the area where the virtual power plant is located, excluding the virtual power plant itself. To predict and obtain the low-end and high-end electricity consumption periods, the air conditioning energy consumption of the virtual power plant in the area needs to be excluded. The prediction model can be time series analysis, and there are no specific restrictions, with accuracy being the highest priority. The control module controls the start-up and shutdown status of water-cooled units in multiple virtual power plants during off-peak and peak electricity consumption periods, and optimizes the start-up and shutdown sequence of the water-cooled units.

[0007] The above technical solution provides control over the start-up and shutdown status and sequence of the water-cooled unit during off-peak electricity consumption periods. During off-peak periods, the cooling of the medium that requires electricity is evenly distributed, thereby making the electricity consumption curve as uniform as possible. At the same time, it achieves the peak shaving and valley filling required by the power grid. Although the cooling medium requires additional electricity consumption, the high electricity prices during peak periods are avoided, further reducing the electricity cost for power-consuming sites with large electricity consumption.

[0008] As a further technical solution of the present invention: the process of controlling the start-up and shutdown status of water-cooled units in multiple virtual power plants includes: Determine whether the load of all water-cooled units in the area where the virtual power plant is located exceeds the control demand. If the load exceeds the control demand, some water-cooled units in the area will be started during off-peak hours so that the load of the started water-cooled units matches the control demand, and the remaining water-cooled units will be started during non-peak hours. If the load is not greater than the control demand, then all water-cooled units in the area will be started during off-peak electricity periods.

[0009] As a further technical solution of the present invention, the process of optimizing the start-up and shutdown sequence of the water-cooled unit includes: Each water-cooled unit in the water-cooled unit that exceeds the control demand will be started at equal time intervals during off-peak electricity consumption periods. The energy consumption coefficient is obtained based on the standby energy consumption of each water-cooled unit after completing the cooling of the medium and the ambient temperature of the stored medium. By using energy consumption coefficients to sort each water-cooled unit that exceeds the control demand, the sorted water-cooled units are started up sequentially during off-peak electricity consumption periods.

[0010] As a further technical solution of the present invention: the process of obtaining the energy consumption coefficient includes: Through the formula:

[0011] Get the The energy consumption coefficient of the water-cooled unit of the virtual power plant on the next day ,in, It is the first under standard temperature conditions The actual power consumption per unit time of each virtual power plant water-cooled unit after starting up the cooling medium on the same day. It is the first The basic power consumption per unit time of operation of a virtual power plant's water-cooled unit on a given day. It is the first The power generation per unit time of a virtual power plant's water-cooled unit after starting up the cooling medium on the same day. It is a preset standard value. It is the first The next-day predicted value of the ambient temperature of the storage medium for a virtual power plant water-cooled unit. It is the preset standard temperature. and These are the preset first weighting coefficient and the second weighting coefficient, respectively.

[0012] As a further technical solution of the present invention, the sorting process includes: After running for at least one day, obtain the energy consumption coefficients of water-cooled units in all virtual power plants set to the same region. ; Water-cooled units are based on energy consumption coefficients Sort the values ​​in ascending order; This sorting setting determines the startup sequence of water-cooled units during off-peak electricity consumption periods.

[0013] The above technical solution provides a process for arranging the startup sequence of water-cooled units. This invention starts each water-cooled unit in a sequence during non-peak electricity consumption periods, based on the energy consumption coefficient. In other words, the more energy-efficient power station will be prioritized in the startup sequence after startup, thereby avoiding the problem of excessive power consumption to maintain the cooling effect of the medium due to the premature start-up of high-energy-consuming water-cooled units caused by environmental factors or aging of the water-cooled units.

[0014] As a further technical solution of the present invention, the process of optimizing the start-up and shutdown sequence of the water-cooled unit includes: For areas where the load exceeds the control demand, historical electricity consumption data, including water-cooled units in the area, is used to construct an electricity consumption curve, and multiple fluctuation coefficients are obtained based on the electricity consumption curve. The fluctuation coefficient is used to determine which water-cooled units need to be removed from the water-cooled units that exceed the control demand. The removed water-cooled units and their virtual power plants are then treated as virtual power plants in adjacent areas where the load is not greater than the control demand and are subject to re-control.

[0015] As a further technical solution of the present invention: the process of obtaining the fluctuation coefficient includes: Based on the sorting of water-cooled units, the formula is:

[0016] Get the Fluctuation coefficient of each water-cooled unit ,in It is an exponential function with base e. It is the first The area difference between the power consumption curve and the standard curve during the startup time of each water-cooled unit. It is less than or equal to natural numbers, This is set to the total number of water-cooled units in the virtual power plant for that region. It is a preset standard area. This refers to the number of water-cooled units that have already been started.

[0017] As a further technical solution of the present invention: the process of determining which water-cooled units need to be removed from the water-cooled units that exceed the control demand based on the fluctuation coefficient includes: volatility coefficient Compared with preset safety value If a comparison is made, If the current water-cooled unit does not need to be eliminated, the next fluctuation coefficient will be obtained for further judgment. like If so, the water-cooled unit and subsequent water-cooled units need to be removed from the current area.

[0018] The above technical solution provides a process for eliminating water-cooled units that exceed the requirements. By analyzing the fluctuation coefficient of the power consumption curve after each water-cooled unit starts up, the impact of the water-cooled unit on the power consumption curve is determined, and the severity of this impact is used to determine whether to eliminate the water-cooled unit. This makes the final power consumption curve more stable and avoids the problem of insufficient power supply caused by sudden power demand.

[0019] This invention also provides a method for aggregate control of controllable loads, comprising the following steps: Set up power stations containing water-cooled units as virtual power plants; Water-cooled units are used to refrigerate the medium during off-peak electricity demand periods in the area where the virtual power plant is located, and the refrigerated medium is used to cool the indoor environment during peak electricity demand periods. Control the start-up and shutdown status of water-cooled units in multiple virtual power plants during off-peak and peak electricity consumption periods, and optimize the start-up and shutdown sequence of water-cooled units.

[0020] The beneficial effects of this invention are: (1) This invention distributes the refrigeration medium that requires electricity evenly during off-peak hours, thereby making the electricity consumption curve as uniform as possible. At the same time, it achieves the peak shaving and valley filling required by the power grid. Although the refrigeration medium requires additional electricity, the high electricity price during peak hours is avoided, which further reduces the electricity cost for power consumption sites with a large amount of electricity, and has strong practical significance.

[0021] (2) In this invention, each water-cooled unit in the water-cooled unit that exceeds the control demand will be started in sequence during the non-peak electricity consumption period. The start-up order is based on the energy consumption coefficient. That is to say, the more energy-efficient the power consumption station will be in the earlier order of start-up, thereby avoiding the problem of high energy consumption water-cooled units prematurely starting medium refrigeration due to environmental factors or aging of water-cooled units, which would lead to excessive power consumption to maintain the medium refrigeration effect.

[0022] (3) The present invention provides a process for eliminating water-cooled units that exceed the requirements. By measuring the fluctuation coefficient of the power consumption curve after each water-cooled unit starts up, the impact of the water-cooled unit on the power consumption curve after starting up is determined, and the severity of this impact is used to determine whether to eliminate the water-cooled unit, thereby making the final power consumption curve more stable and avoiding the problem of insufficient power supply caused by sudden power demand. Attached Figure Description

[0023] The invention will now be further described with reference to the accompanying drawings.

[0024] Figure 1 This is a schematic diagram of the module composition relationship of the control system of the present invention; Figure 2 This is a schematic diagram of the steps of the control method of the present invention. Detailed Implementation

[0025] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0026] Please see Figure 1As shown, in one embodiment, a controllable load aggregation and regulation system is provided, including: a water-cooled unit module, an electricity analysis module, and a regulation module. The water-cooled unit module is used to construct a virtual power plant. During the off-peak electricity consumption period in the area where the virtual power plant is located, the water-cooled unit refrigerates the medium, which increases electricity consumption. During the peak electricity consumption period, the refrigerated medium is used to cool the indoor environment to reduce electricity consumption. Obviously, the medium used by the water-cooled unit is water. By increasing electricity consumption to refrigerate water during the off-peak electricity consumption period and using the refrigerated medium to cool the indoor environment during the peak electricity consumption period to reduce electricity consumption, peak shaving and valley filling are carried out to regulate demand. The electricity consumption analysis module predicts and obtains the low-end and high-end electricity consumption periods based on historical electricity consumption data of water-cooled units in the region where the virtual power plant is located, excluding the virtual power plant itself. To predict the low-end and high-end electricity consumption periods, the air conditioning energy consumption of the virtual power plant in the region needs to be excluded. The prediction model can be a time series model or an exponential model, with no specific restrictions, and the accuracy of the prediction is the priority. The control module controls the start-up and shutdown status of water-cooled units in multiple virtual power plants during off-peak and peak electricity consumption periods based on the energy consumption status of each water-cooled unit, and optimizes the start-up and shutdown sequence of the water-cooled units.

[0027] This embodiment provides control over the start-up and shutdown status and sequence of the water-cooled unit during off-peak electricity consumption periods. During off-peak periods, the cooling of the medium that requires electricity is evenly distributed, thereby making the electricity consumption curve as uniform as possible. At the same time, it achieves the peak shaving and valley filling required by the power grid. Although the cooling medium requires additional electricity consumption, the high electricity prices during peak periods are avoided, which further reduces the electricity cost for power-consuming sites with large electricity consumption, and has strong practical significance.

[0028] The process of controlling the start-up and shutdown status of water-cooled units in multiple virtual power plants includes: Determine whether the load of all water-cooled units in the area where the virtual power plant is located exceeds the control demand. If the load exceeds the control demand, some water-cooled units in the area will be started during off-peak hours so that the load of the started water-cooled units is consistent with the control demand. The remaining water-cooled units will be started during non-peak hours. It should be noted that consistency includes two states: close and identical. That is, the load of the started water-cooled units does not need to be exactly the same as the control demand. If the load is not greater than the control demand, then all water-cooled units in the area will be started during off-peak electricity periods.

[0029] The process of optimizing the start-up and shutdown sequence of water-cooled units includes: Each water-cooled unit in the water-cooled unit that exceeds the control demand will be started at equal time intervals during off-peak electricity consumption periods. The energy consumption coefficient is obtained based on the standby energy consumption of each water-cooled unit after completing the cooling of the medium and the ambient temperature of the stored medium. By using energy consumption coefficients to sort each water-cooled unit that exceeds the control demand, the sorted water-cooled units are started up sequentially during off-peak electricity consumption periods.

[0030] The process of obtaining the energy consumption coefficient includes: Through the formula:

[0031] Get the The energy consumption coefficient of the water-cooled unit of the virtual power plant on the next day ,in, It is the first under standard temperature conditions The actual power consumption per unit time of each virtual power plant water-cooled unit after starting up the cooling medium on the same day. It is the first The basic power consumption per unit time of operation of a virtual power plant's water-cooled unit on a given day. It is the first The power generation per unit time of a virtual power plant's water-cooled unit after starting the cooling medium on a given day is calculated. In actual use, the power generation is controlled by the medium flow rate, i.e., the water flow rate. This medium flow rate serves the cooling effect. It depends on the environment and comfort requirements. It is a preset standard value. It is the first The predicted ambient temperature of the storage medium for a virtual power plant water-cooled unit for the following day. This predicted value is set based on weather forecasts, preferably the average temperature during the operating period. It is the preset standard temperature. and These are the preset first weighting coefficient and the second weighting coefficient. It should be noted that the second weighting coefficient... The values ​​vary depending on the actual ambient temperature. Ideally, a reference table should be set up based on empirical data, and the values ​​should be obtained by referring to the table.

[0032] The sorting process includes: After running for at least one day, obtain the energy consumption coefficients of water-cooled units in all virtual power plants set to the same region. ; Water-cooled units are based on energy consumption coefficients Sort the values ​​in ascending order; This sorting setting determines the startup sequence of water-cooled units during off-peak electricity consumption periods.

[0033] It should be noted that the startup order is related to the startup duration, and the specific details require consideration of the inequality: Solve to obtain The set of solutions, where It is the startup time of the kth water-cooled unit. This is the energy storage efficiency per unit time of the kth water-cooled unit that starts up. The inequality represents the expected energy storage demand. If the inequality has no solution, it means that even with all water-cooled units operating at full efficiency in the current region, the expected energy storage demand cannot be met. However, if the inequality has a solution, it means that adjusting the startup sequence can both meet the peak shaving and valley filling requirements and achieve the overall energy consumption reduction objective of this invention. It should be noted that for... The set of solutions, for Perform a selection judgment; if the set of solutions contains... For solutions with a value of 0, select all corresponding solutions as the new set of solutions. If the new set of solutions contains more than one solution, then... Repeat the selection and judgment process until the number of solutions in the set of solutions obtained from the selection and judgment process is unique. Then, select the set of solutions corresponding to the inequality as the target solution and set the start-up time of all water-cooled units based on the target solution.

[0034] This embodiment provides a process for arranging the start-up sequence of water-cooled units. The present invention starts each water-cooled unit in the excess of the control demand in sequence during the non-peak electricity consumption period. The start-up sequence is based on the energy consumption coefficient. That is to say, the more energy-efficient the power consumption station will be placed earlier in the start-up sequence after startup, thereby avoiding the problem of excessive power consumption to maintain the medium cooling effect due to high energy consumption water-cooled units starting medium cooling too early due to environmental factors or aging of water-cooled units.

[0035] It should be noted that the peak shaving proposed in this invention does not aim to completely eliminate peak electricity consumption to make the electricity consumption curve closer to normal levels. Rather, it aims to meet the requirements of the local power grid. Taking a certain province as an example, if the province's peak load is 100 million kilowatts, the air conditioning load is 35-40 million kilowatts, and water-cooled air conditioning is at least 15 million kilowatts, if 50% of the water-cooled units are upgraded using this scheme, the adjustable load will reach 7.5 million kilowatts, accounting for 7.5% of the peak load, which can exceed the demand by 5%. Due to the characteristics of factory clusters, there will inevitably be some sub-regions where demand exceeds the limit significantly, thus requiring the deployment of water-cooled air conditioning units to meet the excess demand. In addition, it is necessary to set an optimal medium refrigeration temperature. The refrigeration medium temperature of the water-cooled units must not be lower than this temperature to ensure refrigeration efficiency and the peak shaving and energy saving effects of sequentially starting the water-cooled air conditioning units.

[0036] The process of optimizing the start-up and shutdown sequence of water-cooled units includes: For areas where the load exceeds the control demand, historical electricity consumption data, including water-cooled units in the area, is used to construct an electricity consumption curve, and multiple fluctuation coefficients are obtained based on the electricity consumption curve. The water-cooled units that exceed the control demand are identified by their fluctuation coefficients and need to be removed. The removed water-cooled units and their virtual power plants are then used as virtual power plants in adjacent areas where the load is not greater than the control demand for re-regulation. It should be noted that if there are no adjacent areas that meet the conditions, the allocation is based on the minimum average fluctuation coefficient of the last water-cooled unit started in each area. Furthermore, the units removed and re-regulated are all at equal time intervals during non-peak electricity consumption periods.

[0037] The process of obtaining volatility coefficients includes: Based on the sorting of water-cooled units, the formula is:

[0038] Get the Fluctuation coefficient of each water-cooled unit ,in It is an exponential function with base e. It is the first The area difference between the power consumption curve and the standard curve during the startup time of each water-cooled unit. It is less than or equal to natural numbers, This is set to the total number of water-cooled units in the virtual power plant for that region. It is a preset standard area. This refers to the number of water-cooled units that have already been started.

[0039] The process of determining which water-cooled units need to be removed from the pool of water-cooled units that exceed the control demand based on the fluctuation coefficient includes: volatility coefficient Compared with preset safety value If a comparison is made, If the current water-cooled unit does not need to be removed, the next fluctuation coefficient will be obtained for judgment. The preset safety value is set based on empirical data. like If so, the water-cooled unit and subsequent water-cooled units need to be removed from the current area.

[0040] It provides a process for removing water-cooled units that exceed the requirements. By analyzing the fluctuation coefficient of the power consumption curve after each water-cooled unit starts up, it determines the impact of the water-cooled unit on the power consumption curve and decides whether to remove the water-cooled unit based on the severity of this impact. This makes the final power consumption curve more stable and avoids the problem of insufficient power supply caused by sudden power demand.

[0041] refer to Figure 2 The present invention also provides a method for aggregate control of controllable loads, comprising the following steps: S1. Set up power stations containing water-cooled units as virtual power plants; S2. Use water-cooled units to refrigerate the medium during off-peak electricity demand periods in the area where the virtual power plant is located, and use the refrigerated medium to cool the indoor environment during peak electricity demand periods. S3. Control the start-up and shutdown status of water-cooled units in multiple virtual power plants during off-peak and peak electricity consumption periods, and optimize the start-up and shutdown sequence of water-cooled units.

[0042] The foregoing has provided a detailed description of one embodiment of the present invention, but this description is merely a preferred embodiment and should not be construed as limiting the scope of the invention. All equivalent variations and modifications made within the scope of the claims of this invention should still fall within the patent coverage of this invention.

Claims

1. A converged control system for controllable loads, comprising a water-cooled chiller module, a power consumption analysis module, and a control module, characterized in that: The water-cooled unit module is used to construct a virtual power plant. The water-cooled unit refrigerates the medium during the off-peak electricity consumption period in the area where the virtual power plant is located, and uses the refrigerated medium to cool the indoor temperature during the peak electricity consumption period. The electricity consumption analysis module predicts and obtains the low-end and high-end electricity consumption periods based on historical electricity consumption data of water-cooled units in the area where the virtual power plant is located, excluding the virtual power plant itself. The control module controls the start-up and shutdown status of water-cooled units in multiple virtual power plants during off-peak and peak electricity consumption periods based on the energy consumption status of each water-cooled unit, and optimizes the start-up and shutdown sequence of the water-cooled units.

2. The aggregated control system for controllable loads according to claim 1, characterized in that, The process of controlling the start-up and shutdown status of water-cooled units in multiple virtual power plants includes: Determine whether the load of all water-cooled units in the area where the virtual power plant is located exceeds the control demand. If the load exceeds the control demand, some water-cooled units in the area will be started during off-peak hours so that the load of the started water-cooled units matches the control demand, and the remaining water-cooled units will be started during non-peak hours. If the load is not greater than the control demand, then all water-cooled units in the area will be started during off-peak electricity periods.

3. The aggregated control system for controllable loads according to claim 1, characterized in that, The process of optimizing the start-up and shutdown sequence of water-cooled units includes: Each water-cooled unit in the water-cooled unit that exceeds the control demand will be started at equal time intervals during off-peak electricity consumption periods. The energy consumption coefficient is obtained based on the standby energy consumption of each water-cooled unit after completing the cooling of the medium and the ambient temperature of the stored medium. By using energy consumption coefficients to sort each water-cooled unit that exceeds the control demand, the sorted water-cooled units are started up sequentially during off-peak electricity consumption periods.

4. The aggregated control system for controllable loads according to claim 3, characterized in that, The process of obtaining the energy consumption coefficient includes: Through the formula: Get the The energy consumption coefficient of the water-cooled unit of the virtual power plant on the next day ,in, It is the first under standard temperature conditions The actual power consumption per unit time of each virtual power plant water-cooled unit after starting up the cooling medium on the same day. It is the first The basic power consumption per unit time of operation of a virtual power plant's water-cooled unit on a given day. It is the first The power generation per unit time of a virtual power plant's water-cooled unit after starting up the cooling medium on the same day. It is a preset standard value. It is the first The next-day predicted value of the ambient temperature of the storage medium for a virtual power plant water-cooled unit. It is the preset standard temperature. and These are the preset first weighting coefficient and the second weighting coefficient, respectively.

5. The aggregated control system for controllable loads according to claim 4, characterized in that, The sorting process includes: After running for at least one day, obtain the energy consumption coefficients of water-cooled units in all virtual power plants set to the same region. ; Water-cooled units are based on energy consumption coefficients Sort the values ​​in ascending order; This sorting setting determines the startup sequence of water-cooled units during off-peak electricity consumption periods.

6. The aggregated control system for controllable loads according to claim 3, characterized in that, The process of optimizing the start-up and shutdown sequence of water-cooled units includes: For areas where the load exceeds the control demand, historical electricity consumption data, including water-cooled units in the area, is used to construct an electricity consumption curve, and multiple fluctuation coefficients are obtained based on the electricity consumption curve. The fluctuation coefficient is used to determine which water-cooled units need to be removed from the water-cooled units that exceed the control demand. The removed water-cooled units and their virtual power plants are then treated as virtual power plants in adjacent areas where the load is not greater than the control demand and are subject to re-control.

7. The aggregated control system for controllable loads according to claim 6, characterized in that, The process of obtaining volatility coefficients includes: Based on the sorting of water-cooled units, the formula is: Get the Fluctuation coefficient of each water-cooled unit ,in It is an exponential function with base e. It is the first The area difference between the power consumption curve and the standard curve during the startup time of each water-cooled unit. It is less than or equal to natural numbers, This is set to the total number of water-cooled units in the virtual power plant for that region. It is a preset standard area. This refers to the number of water-cooled units that have already been started.

8. The aggregated control system for controllable loads according to claim 1, characterized in that, The process of determining which water-cooled units need to be removed from the pool of water-cooled units that exceed the control demand based on the fluctuation coefficient includes: volatility coefficient Compared with preset safety value If a comparison is made, If the current water-cooled unit does not need to be eliminated, the next fluctuation coefficient will be obtained for further judgment. like If so, the water-cooled unit and subsequent water-cooled units need to be removed from the current area.

9. A method for aggregated controllability of loads, characterized in that, The aggregate control system for controllable loads as described in any one of claims 1-8 comprises the following steps: Set up power stations containing water-cooled units as virtual power plants; Water-cooled units are used to refrigerate the medium during off-peak electricity demand periods in the area where the virtual power plant is located, and the refrigerated medium is used to cool the indoor environment during peak electricity demand periods. Control the start-up and shutdown status of water-cooled units in multiple virtual power plants during off-peak and peak electricity consumption periods, and optimize the start-up and shutdown sequence of water-cooled units.

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