A cooperative power distribution network regulation system and method

Abstract

The application discloses a kind of collaborative power distribution network regulation systems and methods, including collaborative power distribution platform, the collaborative power distribution platform includes collaborative power unit, peak-shaving calculation unit, right and interest display unit and error analysis unit, and the application relates to power distribution control technical field.The collaborative power distribution network regulation system and method establish the classification mode of necessary power consumption and adjustable power consumption for user terminal, assist user terminal to classify household appliances, predict power consumption by predicting the power and use time length of appliances, and then simulate the peak-shaving of appliances in adjustable power consumption classification, realize the peak-shaving power consumption of user terminal, and show it to user terminal in the form of saving electricity charges, which is more intuitive, and promotes user terminal to carry out systematic peak-shaving power consumption, realizes the efficient cooperation of user terminal and power plant, provides protection for normal power consumption of user terminal, and achieves better peak clipping and valley filling standard.

Description

Technical Field

[0001] This invention relates to the field of power distribution control technology, specifically a cooperative power distribution network control system and method. Background Technology

[0002] The power distribution network consists of overhead lines, cables, poles, distribution transformers, disconnect switches, reactive power compensators, and some auxiliary facilities. It plays an important role in distributing electrical energy in the power grid, and its function is to supply power to various substations and various electrical loads in the city.

[0003] In daily life, residential electricity consumption often experiences voltage instability during peak hours. This is mainly because residential electricity consumption is concentrated during peak hours, leading to peak-valley phenomena. To smooth out these peaks and achieve stable power transmission, different electricity prices are used for different times of day, i.e., higher prices during peak hours and lower prices during off-peak hours. However, this method is not intuitive enough and cannot effectively encourage users to engage in peak-shaving behavior. Furthermore, users lack systematic guidance on peak-shaving adjustments, resulting in the price adjustments failing to achieve the desired peak-shaving and valley-filling standards. Therefore, a collaborative distribution network control system and method are proposed. Summary of the Invention

[0004] (a) Technical problems to be solved

[0005] To address the shortcomings of existing technologies, this invention provides a cooperative power distribution network control system and method, which solves the problem that simply adjusting electricity prices cannot incentivize users to engage in peak-shaving behavior, thus failing to achieve the ideal peak-shaving and valley-filling standards after price adjustments.

[0006] (II) Technical Solution

[0007] To achieve the above objectives, the present invention provides the following technical solution: a cooperative power distribution network control system, comprising a cooperative power distribution platform, wherein the cooperative power distribution platform includes a cooperative power consumption unit, a peak-shaving calculation unit, a rights display unit, and an error analysis unit. The cooperative power consumption unit is used to classify necessary and adjustable power consumption, allowing user terminals to assign appliances to the corresponding categories according to their needs and record the appliance power. After predicting the time periods during which appliances need to be used, the user terminal obtains the predicted power consumption for different time periods and calculates the predicted electricity cost for the user terminal. The cooperative power consumption unit interfaces with the peak-shaving calculation unit, which is used to avoid peak power consumption periods. The system adjusts the time period for appliances corresponding to adjustable power consumption, calculates the simulated electricity cost for the user terminal after the time period adjustment, calculates the electricity savings, and displays the results to the user terminal for selection of time period adjustments. The peak-shaving calculation unit is connected to the benefits display unit, which sorts the total monthly electricity savings of the user terminal by community and assigns corresponding user benefits to the user terminal according to the sorting gradient. The benefits display unit is connected to the error analysis unit, which calculates the error range of the total predicted electricity consumption based on the total actual electricity consumption and the total predicted electricity consumption. The peak-shaving calculation unit is also connected to the error analysis unit.

[0008] By adopting the above technical solutions, a classification method for necessary and adjustable electricity consumption is established for user terminals. This assists user terminals in classifying household appliances. Electricity consumption is predicted by forecasting appliance power and usage time. Then, by simulating peak-shaving for appliances under the adjustable electricity consumption category, peak-shaving for user terminals is achieved. This is then presented to user terminals in the form of electricity cost savings, making it more intuitive and encouraging user terminals to systematically implement peak-shaving. This achieves efficient collaboration between user terminals and power plants, ensuring normal electricity consumption for user terminals while achieving better peak-shaving and valley-filling standards.

[0009] The present invention is further configured such that: the collaborative power consumption unit includes a power consumption classification module, a power input module, a power consumption time period pre-filling module, and a power consumption forecasting module; the power consumption classification module is connected to the power input module; the power input module is connected to the power consumption time period pre-filling module; and the power consumption time period pre-filling module is connected to the power consumption forecasting module.

[0010] The present invention is further configured such that: the electricity consumption classification module is used to issue classifications of necessary electricity consumption and adjustable electricity consumption, and the user terminal classifies electrical appliances into the necessary electricity consumption and adjustable electricity consumption categories according to their needs;

[0011] The power input module is used to record the power of electrical appliances in the user terminal;

[0012] The electricity consumption time period pre-filling module is used to predict the start and end times of electricity consumption for electrical appliances to be used at the user terminal, calculate the predicted duration of the corresponding electrical appliance at the user terminal, and record it.

[0013] The electricity consumption forecasting module is used to multiply the power of the appliance by the forecast duration to obtain the forecasted electricity consumption of the user terminal in different time periods. Based on the forecasted electricity consumption of the user terminal in different time periods and the electricity price of the corresponding time period, the forecasted electricity cost of the user terminal is calculated.

[0014] The present invention is further configured such that: the peak-shaving calculation unit includes a simulated electricity consumption module, a power saving display module, and an electricity consumption adjustment module, wherein the simulated electricity consumption module is connected to the power saving display module, and the power saving display module is connected to the power consumption adjustment module.

[0015] The present invention is further configured such that: the simulated electricity consumption module is used to adjust the time period of the appliances corresponding to the adjustable electricity consumption to avoid peak electricity consumption periods, and calculates the simulated electricity cost of the user terminal after the time period adjustment by combining the predicted electricity consumption and the electricity price of the corresponding time period;

[0016] The electricity saving display module is used to subtract the simulated electricity cost from the predicted electricity cost to obtain the electricity saving cost, and then display the predicted electricity cost, simulated electricity cost, and electricity saving cost to the user terminal.

[0017] The electricity consumption adjustment module is used to send usage prompts for electrical appliances under the adjustable electricity consumption category to the user during the time period corresponding to the time period adjustment when the user selects the simulated electricity fee. After predicting and calculating the electricity consumption for different time periods, the module sends the predicted electricity consumption of the user terminal for the corresponding time period to the error analysis unit.

[0018] By adopting the above technical solution, the user's predicted electricity bill is recorded, and the user terminal is notified in a prompt manner by avoiding the use of electrical appliances under the adjustable electricity consumption category during peak hours. This enables the calculation of simulated electricity bills, and the difference between predicted and simulated electricity bills is presented to the user terminal to show the electricity cost savings. This allows users to intuitively see the advantages of off-peak electricity use and promotes the effective implementation of peak shaving and valley filling.

[0019] The present invention is further configured such that: the rights display unit includes a community classification module, a savings ranking module, and a rights module, wherein the community classification module and the rights module are both connected to the savings ranking module.

[0020] The present invention is further configured such that: the community classification module is used to classify user terminals on a community-by-community basis;

[0021] The savings ranking module is used to record the total monthly electricity savings of different user terminals in the same community and sort them into high and low gradients as a benefit distribution gradient table.

[0022] The rights module is used to set sorting gradient levels and corresponding user rights. The sorting gradient level is a series of connected levels in the rights distribution gradient table. When a user terminal reaches the corresponding sorting gradient level, the user terminal is granted the corresponding user rights. These user rights include, but are not limited to, deferred payment of electricity bills and discounts on electricity bill payments.

[0023] By adopting the above technical solutions, the total monthly electricity cost savings are ranked in tiers based on communities. Combined with the corresponding user benefits at each tier level, this further encourages users to actively respond to the call for peak shaving and valley filling.

[0024] The present invention is further configured such that: the error analysis unit includes a predictive power consumption integration module and a threshold setting module, wherein the predictive power consumption integration module is connected to the threshold setting module.

[0025] The present invention is further configured such that: the predicted electricity consumption integration module is used to calculate the predicted electricity consumption of several user terminals in a corresponding time period, and obtain the total predicted electricity consumption of several user terminals in the corresponding time period;

[0026] The threshold setting module is used to record the total actual power consumption of several user terminals. After subtracting the total predicted power consumption from the actual power consumption, the deviation power consumption is obtained. After obtaining several deviation power consumptions, the average value of the positive deviation power consumption is calculated to obtain the predicted positive deviation power consumption, and the average value of the negative deviation power consumption is calculated to obtain the predicted negative deviation power consumption. The interval between the predicted negative deviation power consumption and the predicted positive deviation power consumption is the error range value of the total predicted power consumption.

[0027] By adopting the above technical solution, the total actual electricity consumption is recorded, and the deviation electricity consumption is recorded in conjunction with the total predicted electricity consumption. After the difference between the total actual electricity consumption and the total predicted electricity consumption is calculated, the deviation electricity consumption is split into positive and negative values, thereby realizing the judgment of the error range of the total predicted electricity consumption and providing an effective reference standard for the actual power generation of the power generation station.

[0028] This invention also discloses a cooperative distribution network control method, which specifically includes the following steps:

[0029] Step 1, Collaborative Electricity Consumption: The electricity classification module issues categories for necessary electricity consumption and adjustable electricity consumption. The user terminal substitutes appliances into the necessary electricity consumption and adjustable electricity consumption categories according to its needs. The user terminal records the power of the corresponding appliances in the power input module. The user terminal predicts the start and end times of electricity consumption for the appliances to be used and fills them into the electricity time period pre-filling module. The predicted duration of the corresponding appliances is calculated. The electricity prediction module multiplies the appliance power and the predicted duration to obtain the predicted electricity consumption of the user terminal in different time periods. Based on the predicted electricity consumption of the user terminal in different time periods and the electricity price of the corresponding time period, the predicted electricity cost of the user terminal is calculated.

[0030] Step 2, Peak Shift Calculation: The simulated electricity consumption module adjusts the time periods for appliances corresponding to adjustable electricity consumption to avoid peak electricity consumption periods. Combining the predicted electricity consumption and the electricity price for the corresponding time period, it calculates the simulated electricity cost for the user terminal after the time period adjustment. The savings display module subtracts the simulated electricity cost from the predicted electricity cost to obtain the saved electricity cost. It then displays the predicted electricity cost, simulated electricity cost, and saved electricity cost to the user terminal. When the user selects the simulated electricity cost, the electricity consumption adjustment module sends usage prompts for appliances under the adjustable electricity consumption category to the user within the time period corresponding to the time period adjustment, and predicts and calculates the electricity consumption for different time periods.

[0031] Step 3, Benefits Display: The community classification module classifies user terminals by community. After recording the total monthly electricity savings of different user terminals in the same community, the savings ranking module sorts the total monthly electricity savings into high and low gradients as a benefit distribution gradient table. It sets the sorting gradient level and the user benefits corresponding to the sorting gradient level. When a user terminal reaches the corresponding sorting gradient level, the benefit module grants the user terminal the corresponding user benefits.

[0032] Step 4, Error Analysis: The predicted electricity consumption integration module calculates the predicted electricity consumption of several user terminals for corresponding time periods, obtaining the total predicted electricity consumption of several user terminals in the corresponding time periods. The threshold setting module records the total actual electricity consumption of several user terminals. After subtracting the total predicted electricity consumption from the actual electricity consumption, the deviation electricity consumption is obtained. After obtaining several deviation electricity consumptions, the average value of the positive deviation electricity consumption is calculated to obtain the predicted positive deviation electricity consumption, and the average value of the negative deviation electricity consumption is calculated to obtain the predicted negative deviation electricity consumption. The interval between the predicted negative deviation electricity consumption and the predicted positive deviation electricity consumption is the error range value of the total predicted electricity consumption.

[0033] (III) Beneficial Effects

[0034] This invention provides a cooperative power distribution network control system and method. It has the following beneficial effects:

[0035] (1) This invention assists user terminals in classifying household appliances by establishing a classification method for necessary electricity consumption and adjustable electricity consumption. It predicts electricity consumption by predicting the power and usage time of appliances, and simulates peak-shaving for appliances under the adjustable electricity consumption category to realize peak-shaving electricity consumption for user terminals. The invention also presents the electricity savings to user terminals in a more intuitive way, while prompting user terminals to systematically use peak-shaving electricity. This enables efficient collaboration between user terminals and power plants, ensuring normal electricity consumption for user terminals and achieving better peak-shaving and valley-filling standards.

[0036] (2) This invention records the user's predicted electricity bill and informs the user terminal by prompting them to avoid using electrical appliances under the adjustable electricity category during peak hours. The simulated electricity bill is then calculated and the difference between the predicted and simulated electricity bills is presented to the user terminal to show the savings. This allows the user to intuitively see the advantages of off-peak electricity use and promotes the effective implementation of peak shaving and valley filling.

[0037] (3) This invention further encourages users to actively respond to the call for peak shaving and valley filling by ranking the total monthly electricity savings by community and combining the corresponding user benefits.

[0038] (4) This invention records the total actual electricity consumption and records the deviation electricity consumption in conjunction with the total predicted electricity consumption. After the difference between the total actual electricity consumption and the total predicted electricity consumption is calculated, the deviation electricity consumption is split into positive and negative values ​​to realize the judgment of the error range of the total predicted electricity consumption, and to provide an effective reference standard for the actual power generation of the power generation station. Attached Figure Description

[0039] Figure 1 This is a system principle block diagram of the present invention;

[0040] Figure 2 This is a system principle block diagram of the collaborative power supply unit of the present invention;

[0041] Figure 3 This is a system principle block diagram of the peak-shifting computing unit of the present invention;

[0042] Figure 4 This is a system principle block diagram of the unit for demonstrating the benefits of this invention;

[0043] Figure 5 This is a system principle block diagram of the error analysis unit of the present invention;

[0044] In the diagram, 1. Collaborative power distribution platform; 2. Collaborative power consumption unit; 3. Peak shaving calculation unit; 4. Rights display unit; 5. Error analysis unit; 6. Power consumption classification module; 7. Power input module; 8. Power consumption period pre-filling module; 9. Power consumption forecasting module; 10. Simulated power consumption module; 11. Energy saving display module; 12. Power consumption adjustment module; 13. Community classification module; 14. Energy saving ranking module; 15. Rights module; 16. Predicted power consumption integration module; 17. Threshold setting module. Detailed Implementation

[0045] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention.

[0046] Please see Figure 1-5 The present invention provides a technical solution: a cooperative distribution network control system, as shown in the attached figure. Figure 1 As shown, the collaborative power distribution platform 1 consists of a collaborative power consumption unit 2, a peak-shaving calculation unit 3, a rights display unit 4, and an error analysis unit 5.

[0047] As a preferred solution, to achieve power consumption prediction for user terminals and establish a system-wide power consumption assistance guidance method, the collaborative power consumption unit 2 is used to issue classifications of necessary and adjustable power consumption. User terminals can then classify appliances into the corresponding categories according to their needs and record the appliance power. After predicting the time periods during which appliances will be used, the predicted power consumption of the user terminal at different times is obtained, and the predicted electricity cost for the user terminal is calculated. Specifically, see the attached diagram. Figure 2 As shown, the collaborative power consumption unit 2 includes a power consumption classification module 6, a power input module 7, a power consumption time period pre-filling module 8, and a power consumption forecasting module 9. The power consumption classification module 6 is used to issue classifications of necessary power consumption and adjustable power consumption. The user terminal substitutes electrical appliances into the necessary power consumption and adjustable power consumption categories according to needs. For detailed explanation, necessary power consumption means that the corresponding electrical appliance must be used during this time period and the power consumption during this time period cannot be changed; adjustable power consumption means that the corresponding electrical appliance can be used during this time period or not, providing a basis for adjustment for peak-shifting use.

[0048] The electricity classification module 6 is connected to the power input module 7, which is used to record the power of electrical appliances in the user terminal.

[0049] The power input module 7 is connected to the electricity consumption time period pre-filling module 8. The electricity consumption time period pre-filling module 8 is used to predict the start and end times of electricity consumption of the appliances to be used at the user terminal, calculate the predicted duration of the corresponding appliances at the user terminal, and record it.

[0050] The electricity consumption period pre-filling module 8 is connected to the electricity consumption forecasting module 9. The electricity consumption forecasting module 9 is used to multiply the power of the appliance and the forecast duration to obtain the forecasted electricity consumption of the user terminal in different time periods. Based on the forecasted electricity consumption of the user terminal in different time periods and the electricity price of the corresponding time period, the forecasted electricity cost of the user terminal is calculated.

[0051] As a preferred solution, to effectively guide users to stagger their electricity consumption, the collaborative electricity consumption unit 2 interfaces with the staggered peak calculation unit 3, which in turn interfaces with the error analysis unit 5. The staggered peak calculation unit 3 is used to adjust the time periods for adjustable appliances to avoid peak electricity consumption periods. After calculating the simulated electricity cost for the user terminal after the time period adjustment, it calculates the electricity savings and displays them to the user terminal for selection of time period adjustments. Details are as follows (see attached diagram). Figure 3 As shown, the peak-shaving calculation unit 3 includes a simulated electricity consumption module 10, a savings display module 11, and an electricity consumption adjustment module 12. The simulated electricity consumption module 10 is used to adjust the time period of the appliances corresponding to the adjustable electricity consumption to avoid peak electricity consumption periods. Combining the predicted electricity consumption and the electricity price of the corresponding time period, the simulated electricity cost of the user terminal after the time period adjustment is calculated.

[0052] The simulated electricity consumption module 10 is connected to the energy saving display module 11. The energy saving display module 11 is used to subtract the simulated electricity cost from the predicted electricity cost to obtain the energy saving cost, and then display the predicted electricity cost, simulated electricity cost, and energy saving cost to the user terminal.

[0053] The energy-saving display module 11 is connected to the power consumption adjustment module 12. The power consumption adjustment module 12 is used to send the user the usage prompts of electrical appliances under the adjustable power consumption category during the time period corresponding to the time period adjustment when the user selects the simulated electricity fee. After predicting and calculating the power consumption of different time periods, the predicted power consumption of the user terminal for the corresponding time period is sent to the error analysis unit 5.

[0054] As a preferred solution, to further enhance users' motivation for peak-hour electricity consumption, the peak-hour calculation unit 3 is integrated with the benefits display unit 4. The benefits display unit 4 is used to rank the total monthly electricity savings of user terminals by community, and to assign corresponding user benefits to user terminals according to the ranking level. Details are as follows (see attached). Figure 4 As shown, the rights display unit 4 includes a community classification module 13, a savings ranking module 14, and a rights module 15. The community classification module 13 is used to classify user terminals by community.

[0055] Both the community classification module 13 and the rights and interests module 15 are connected to the savings ranking module 14. The savings ranking module 14 is used to record the total monthly electricity savings of different user terminals in the same community and sort them into high and low gradients as a rights and interests distribution gradient table.

[0056] The rights module 15 is used to set the sorting gradient level and the corresponding user rights. When the user terminal reaches the corresponding sorting gradient level, the user terminal is granted the corresponding user rights.

[0057] As a preferred solution, to provide power plants with an effective power generation reference standard, the rights display unit 4 is interfaced with the error analysis unit 5. The error analysis unit 5 is used to calculate the error range of the total predicted power consumption based on the total actual power consumption and the total predicted power consumption, as detailed in the attached diagram. Figure 5 As shown, the error analysis unit 5 includes a predicted power consumption integration module 16 and a threshold setting module 17. The predicted power consumption integration module 16 is used to calculate the predicted power consumption of several user terminals in the corresponding time period and obtain the total predicted power consumption of several user terminals in the corresponding time period.

[0058] The predicted electricity consumption integration module 16 is connected to the threshold setting module 17. The threshold setting module 17 is used to record the total actual electricity consumption of several user terminals. After subtracting the total predicted electricity consumption from the actual electricity consumption, the deviation electricity consumption is obtained. After obtaining several deviation electricity consumptions, the average value of the positive deviation electricity consumption is calculated to obtain the predicted positive deviation electricity consumption, and the average value of the negative deviation electricity consumption is calculated to obtain the predicted negative deviation electricity consumption. The interval between the predicted negative deviation electricity consumption and the predicted positive deviation electricity consumption is the error range value of the total predicted electricity consumption.

[0059] A cooperative distribution network control method specifically includes the following steps:

[0060] Step 1, Collaborative Electricity Consumption: The electricity classification module 6 issues classifications of necessary electricity consumption and adjustable electricity consumption. The user terminal substitutes appliances into the necessary electricity consumption and adjustable electricity consumption categories according to its needs. The user terminal records the power of the corresponding appliances in the power input module 7. The user terminal predicts the start and end times of electricity consumption for the appliances to be used and fills them into the electricity time period pre-filling module 8. The predicted duration of the corresponding appliances for the user terminal is calculated. The electricity prediction module 9 multiplies the appliance power and the predicted duration to obtain the predicted electricity consumption of the user terminal in different time periods. Based on the predicted electricity consumption of the user terminal in different time periods and the electricity price of the corresponding time period, the predicted electricity cost of the user terminal is calculated.

[0061] Step 2, Peak Shift Calculation: The simulated electricity consumption module 10 adjusts the time periods for appliances corresponding to adjustable electricity consumption to avoid peak electricity consumption periods. Combining the predicted electricity consumption and the electricity price for the corresponding time period, it calculates the simulated electricity cost for the user terminal after the time period adjustment. The savings display module 11 subtracts the simulated electricity cost from the predicted electricity cost to obtain the saved electricity cost. It then displays the predicted electricity cost, simulated electricity cost, and saved electricity cost to the user terminal. When the user selects the simulated electricity cost, the electricity consumption adjustment module 12 sends usage prompts for appliances under the adjustable electricity consumption category to the user within the time period corresponding to the time period adjustment, and performs predicted calculations for electricity consumption at different time periods.

[0062] Step 3, Benefits Display: The community classification module 13 classifies user terminals by community. After recording the total monthly electricity savings of different user terminals in the same community, the savings ranking module 14 sorts the total monthly electricity savings into high and low gradients as a benefit distribution gradient table. The sorting gradient level and the user benefits corresponding to the sorting gradient level are set. When a user terminal reaches the corresponding sorting gradient level, the benefit module 15 grants the user terminal the corresponding user benefits.

[0063] Step 4, Error Analysis: The predicted electricity consumption integration module 16 calculates the predicted electricity consumption of several user terminals for corresponding time periods, and obtains the total predicted electricity consumption of several user terminals in the corresponding time periods. The threshold setting module 17 records the total actual electricity consumption of several user terminals. After subtracting the total predicted electricity consumption from the actual electricity consumption, the deviation electricity consumption is obtained. After obtaining several deviation electricity consumptions, the average value of the positive deviation electricity consumption is calculated to obtain the predicted positive deviation electricity consumption, and the average value of the negative deviation electricity consumption is calculated to obtain the predicted negative deviation electricity consumption. The interval between the predicted negative deviation electricity consumption and the predicted positive deviation electricity consumption is the error range value of the total predicted electricity consumption.

Claims

1. A cooperative power distribution network control system, comprising a cooperative power distribution platform (1), characterized in that: The collaborative power distribution platform (1) includes a collaborative power consumption unit (2), a peak-shaving calculation unit (3), a rights display unit (4), and an error analysis unit (5). The collaborative power consumption unit (2) is used to classify necessary power consumption and adjustable power consumption, allowing user terminals to assign appliances to the corresponding categories according to their needs and record the power of the appliances. After predicting the time periods during which the appliances need to be used, the user terminal obtains the predicted power consumption of the user terminal in different time periods and calculates the predicted electricity cost of the user terminal. The collaborative power consumption unit (2) is connected to the peak-shaving calculation unit (3), which is used to adjust the time periods of the appliances corresponding to adjustable power consumption to avoid peak power consumption periods and calculate the power consumption of the appliances. After the simulated electricity cost of the user terminal after the time period adjustment is displayed, the electricity saving cost is calculated and displayed to the user terminal for the user terminal to select the time period adjustment. The peak-shifting calculation unit (3) is connected to the rights display unit (4). The rights display unit (4) is used to sort the total monthly electricity saving cost of the user terminal by community and assign the corresponding user rights to the user terminal according to the sorting gradient level. The rights display unit (4) is connected to the error analysis unit (5). The error analysis unit (5) is used to calculate the error range value of the total predicted electricity consumption based on the total actual electricity consumption and the total predicted electricity consumption. The peak-shifting calculation unit (3) is connected to the error analysis unit (5).

2. The cooperative distribution network control system according to claim 1, characterized in that: The collaborative power consumption unit (2) includes a power consumption classification module (6), a power input module (7), a power consumption time period pre-filling module (8), and a power consumption forecasting module (9). The power consumption classification module (6) is connected to the power input module (7), the power input module (7) is connected to the power consumption time period pre-filling module (8), and the power consumption time period pre-filling module (8) is connected to the power consumption forecasting module (9).

3. The cooperative distribution network control system according to claim 2, characterized in that: The electricity classification module (6) is used to issue classifications of necessary electricity consumption and adjustable electricity consumption. The user terminal will classify electrical appliances into the necessary electricity consumption and adjustable electricity consumption categories according to their needs. The power input module (7) is used to record the power of electrical appliances in the user terminal; The electricity usage time pre-filling module (8) is used to predict the start and end times of electricity usage for electrical appliances to be used at the user terminal, calculate the predicted duration of the corresponding electrical appliance at the user terminal, and record it. The electricity consumption prediction module (9) is used to multiply the power of the electrical appliance by the predicted duration to obtain the predicted electricity consumption of the user terminal in different time periods. Based on the predicted electricity consumption of the user terminal in different time periods and the electricity price of the corresponding time period, the predicted electricity cost of the user terminal is calculated.

4. The cooperative distribution network control system according to claim 1, characterized in that: The peak-shaving calculation unit (3) includes a simulated power consumption module (10), a power saving display module (11), and a power consumption adjustment module (12). The simulated power consumption module (10) is connected to the power saving display module (11), and the power saving display module (11) is connected to the power consumption adjustment module (12).

5. A cooperative distribution network control system according to claim 4, characterized in that: The simulated electricity module (10) is used to adjust the time period of the appliances corresponding to the adjustable electricity consumption to avoid peak electricity consumption periods. It calculates the simulated electricity fee of the user terminal after the time period adjustment by combining the predicted electricity consumption and the electricity price of the corresponding time period. The electricity saving display module (11) is used to subtract the simulated electricity cost from the predicted electricity cost to obtain the electricity saving cost, and to display the predicted electricity cost, simulated electricity cost and electricity saving cost to the user terminal; The power consumption adjustment module (12) is used to send a usage prompt for electrical appliances under the adjustable power consumption category to the user during the time period corresponding to the time period adjustment when the user selects the simulated electricity fee. After predicting and calculating the power consumption of different time periods, the predicted power consumption of the user terminal for the corresponding time period is sent to the error analysis unit (5).

6. A cooperative distribution network control system according to claim 1, characterized in that: The rights display unit (4) includes a community classification module (13), a savings ranking module (14), and a rights module (15). The community classification module (13) and the rights module (15) are both connected to the savings ranking module (14).

7. A cooperative distribution network control system according to claim 6, characterized in that: The community classification module (13) is used to classify user terminals by community; The savings ranking module (14) is used to record the total monthly electricity savings of different user terminals in the same community and sort them into high and low gradients as a rights distribution gradient table. The rights module (15) is used to set the sorting gradient level and the user rights corresponding to the sorting gradient level. When the user terminal reaches the corresponding sorting gradient level, the user terminal is granted the corresponding user rights.

8. A cooperative distribution network control system according to claim 1, characterized in that: The error analysis unit (5) includes a predictive power consumption integration module (16) and a threshold setting module (17), and the predictive power consumption integration module (16) is connected to the threshold setting module (17).

9. A cooperative distribution network control system according to claim 8, characterized in that: The predicted electricity consumption integration module (16) is used to calculate the predicted electricity consumption of several user terminals in the corresponding time period and obtain the total predicted electricity consumption of several user terminals in the corresponding time period. The threshold setting module (17) is used to record the total actual power consumption of several user terminals. After subtracting the total predicted power consumption from the actual power consumption, the deviation power consumption is obtained. After obtaining several deviation power consumptions, the average value of the positive deviation power consumption is calculated to obtain the predicted positive deviation power consumption. The average value of the negative deviation power consumption is calculated to obtain the predicted negative deviation power consumption. The interval between the predicted negative deviation power consumption and the predicted positive deviation power consumption is the error range value of the total predicted power consumption.

10. A cooperative distribution network control method, characterized in that: Specifically, the following steps are included: Step 1, Collaborative Electricity Consumption: The electricity classification module (6) issues the classification of necessary electricity consumption and adjustable electricity consumption. The user terminal substitutes the electrical appliances into the necessary electricity consumption and adjustable electricity consumption categories according to the needs. The user terminal records the power of the corresponding electrical appliances in the power input module (7). The user terminal predicts the start and end time of electricity consumption of the electrical appliances to be used and fills it into the electricity time period prefilling module (8). Then, it calculates the predicted duration of the corresponding electrical appliances of the user terminal. The electricity prediction module (9) multiplies the power of the electrical appliances and the predicted duration to obtain the predicted electricity consumption of the user terminal in different time periods. Based on the predicted electricity consumption of the user terminal in different time periods and combined with the electricity price of the corresponding time period, the predicted electricity cost of the user terminal is calculated. Step 2, Peak Shift Calculation: The simulated electricity module (10) adjusts the time period of the appliances corresponding to the adjustable electricity consumption to avoid peak electricity consumption periods. Combining the predicted electricity consumption and the electricity price of the corresponding time period, it calculates the simulated electricity cost of the user terminal after the time period adjustment. The savings display module (11) subtracts the simulated electricity cost from the predicted electricity cost to obtain the saved electricity cost. It then displays the predicted electricity cost, simulated electricity cost, and saved electricity cost to the user terminal. When the user selects the simulated electricity cost, the electricity adjustment module (12) sends the user a usage prompt for the appliances under the adjustable electricity consumption category within the time period corresponding to the time period adjustment. It also predicts and calculates the electricity consumption for different time periods. Step 3, Rights Display: The community classification module (13) classifies user terminals by community. After recording the total monthly electricity savings of different user terminals in the same community, the savings ranking module (14) sorts the total monthly electricity savings by high and low gradients as a rights distribution gradient table. It sets the sorting gradient level and the user rights corresponding to the sorting gradient level. When the user terminal reaches the corresponding sorting gradient level, the rights module (15) assigns the corresponding user rights to the user terminal. Step 4, Error Analysis: The predicted electricity consumption integration module (16) calculates the predicted electricity consumption of several user terminals for the corresponding time period, and obtains the total predicted electricity consumption of several user terminals in the corresponding time period. The threshold setting module (17) records the total actual electricity consumption of several user terminals. After subtracting the total predicted electricity consumption from the actual electricity consumption, the deviation electricity consumption is obtained. After obtaining several deviation electricity consumptions, the average value of the positive deviation electricity consumption is calculated to obtain the predicted positive deviation electricity consumption. The average value of the negative deviation electricity consumption is calculated to obtain the predicted negative deviation electricity consumption. The interval value between the predicted negative deviation electricity consumption and the predicted positive deviation electricity consumption is the error range value of the total predicted electricity consumption.

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