A power distribution network peak-shaving self-balancing method and system based on blockchain technology

Abstract

The present application relates to the technical field of power control, and more particularly to a distribution network peak-shaving self-balancing method and system based on blockchain technology, and solves the problem of how to solve the problem of "second peak" caused by peak-shaving power consumption in the power grid, and provides a distribution network peak-shaving self-balancing method, which comprises the following steps: determining the peak period of power consumption of a target area according to the power consumption situation and the distribution network capacity of the target area; obtaining the peak power consumption of each power consumption unit in the target area during the peak period, and obtaining an adjustable load unit according to the peak power consumption and the unit type of the power consumption unit; screening the control plan according to the decrease and increase of the power consumption, obtaining an implementation scheme, feeding back the implementation scheme to the adjustable load unit, and uploading the corresponding peak-shaving control data according to the implementation scheme.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of power management platform, in particular to a distribution network peak-shaving self-balancing method and system based on blockchain technology. BACKGROUND

[0002] In recent years, with the rapid growth of various types of electrical equipment, such as air conditioners, electric vehicles, etc., the power consumption also increases rapidly, and peak-shaving power consumption has a profound impact on users, power grids and society. For example, peak-shaving power consumption can reduce user electricity costs, balance power grid load, improve power grid stability, promote renewable energy consumption, and improve clean energy utilization. However, traditional peak-shaving, such as administrative directives or fixed time-of-use electricity prices, relies on centralized decision-making. Users may converge due to incentives, such as uniform valley electricity price periods, and concentrated load shifting. When users lack real-time load information, they may act based on historical experience or uniform notifications, resulting in negative feedback failure. In addition, existing peak-valley regulation methods are based on large power grids, with high participation thresholds and involving many objects, and the response process is cumbersome, resulting in low enthusiasm, interactivity, information sharing, and transparency among participants. How to solve the problem of "second peak" caused by peak-shaving power consumption in the power grid has become a problem that needs to be solved in the power grid. SUMMARY

[0003] The present application solves the problem of how to solve the problem of "second peak" caused by peak-shaving power consumption in the power grid.

[0004] To solve the above problems, the present application provides a distribution network peak-shaving self-balancing method based on blockchain technology, which includes: determining the peak period of power consumption in the target area according to the power consumption situation and the distribution network capacity of the target area; obtaining the peak power consumption of each power consumption unit in the target area during the peak period, and obtaining the adjustable load unit according to the peak power consumption and the unit type of the power consumption unit; obtaining the real-time power consumption of the target area during the peak period, and the management platform sends peak-shaving management data to the adjustable load unit according to the real-time power consumption; the adjustable load unit controls the power consumption equipment according to the peak-shaving management data, and feeds back the management plan to the management platform; the management platform calculates the reduction amount of real-time power consumption and the increase amount of future power consumption according to the management plan; the management plan is screened according to the reduction amount and the increase amount, and the implementation scheme is obtained, the implementation scheme is fed back to the adjustable load unit, and the corresponding peak-shaving management data is uploaded according to the implementation scheme.

[0005] Compared with the prior art, the technical effects achieved by adopting the technical scheme are: the peak period can be more accurately identified by determining the peak period according to the power consumption situation and the distribution network capacity of the target area, the adjustable load unit can be quickly determined by the peak power consumption and the unit type of the power consumption unit, so that the regulation and control efficiency is improved, the off-peak control data is sent to the adjustable load unit according to the real-time power consumption, which can effectively prevent the overload and voltage instability of the distribution network in the peak period due to excessive load, the adjustable load unit controls the power consumption equipment according to the off-peak control data, which helps to maintain the stable operation of the distribution network, reduces the probability of equipment failure and power failure, and ensures the reliability of power supply. The adjustable load unit feeds back the control plan to the control platform, which helps to understand the execution of each adjustable load unit in real time, and timely adjusts and optimizes the power grid operation strategy. The effect of off-peak can be judged by the decrease of real-time power consumption, and whether the "second peak" phenomenon will occur in the future period can be calculated by the increase of future power consumption. The implementation scheme is obtained by screening the control plan, so that the control measures are more scientific and accurate, the effect and pertinence of regulation and control are improved, and the power system is ensured to meet the user's power demand while realizing safe and efficient operation.

[0006] In an embodiment of the present application, the peak period of power consumption of the target area is determined according to the power consumption situation and the distribution network capacity of the target area, specifically including: obtaining the historical power consumption of the target area, calculating the ratio of the historical power consumption and the distribution network capacity to obtain the first load rate; comparing the first load rate with the peak threshold to obtain the peak period corresponding to the target area.

[0007] Compared with the prior art, the technical effects achieved by adopting the technical scheme are: the first load rate is compared with the peak threshold to obtain the peak period corresponding to the target area, which can dynamically adjust the division of the peak period according to the actual power consumption, and realize the accurate identification of the peak period, and provide a basis for the power control in the later period.

[0008] In an embodiment of the present application, the peak power consumption of each power consumption unit in the target area in the peak period is obtained, and the adjustable load unit is obtained according to the peak power consumption and the unit type of the power consumption unit, specifically including: obtaining the peak power consumption of each power consumption unit in the peak period; obtaining the adjustable load unit according to the peak power consumption and the power threshold; judging whether there is power consumption equipment that can be off-peak in the adjustable load unit according to the unit type of the adjustable load unit; when the adjustable load unit has power consumption equipment that can be off-peak, the adjustable load unit is recorded as the adjustable load unit.

[0009] Compared with the prior art, the technical effects achieved by adopting the technical scheme are that: the high-peak power consumption and the power consumption threshold can accurately identify the unit with high power consumption in the peak period, and provide a basis for subsequent peak-shaving power consumption management, and through screening of the adjustable load unit, the load management is more targeted.

[0010] In an embodiment of the present application, the real-time power consumption of the target area in the peak period is obtained, and the control platform sends peak-shaving control data to the adjustable load unit according to the real-time power consumption, specifically including: the ratio of the real-time power consumption to the distribution network capacity is recorded as a second load rate; whether to send the peak-shaving control data to the adjustable load unit is judged according to the second load rate, the load threshold and the time threshold.

[0011] Compared with the prior art, the technical effects achieved by adopting the technical scheme are that: the load threshold provides an important basis for resource allocation of the power system, and by setting the time threshold of different periods, the user can be guided to use electricity in the load valley period and avoid the peak period, so as to realize peak clipping and valley filling of the power load.

[0012] In an embodiment of the present application, whether to send the peak-shaving control data to the adjustable load unit is judged according to the second load rate, the load threshold and the time threshold, specifically including: when the second load rate is greater than or equal to the load threshold, the peak-shaving control data is sent to the adjustable load unit; the peak time length during which the second load rate is continuously greater than the peak threshold is counted; and when the peak time length is greater than or equal to the time threshold, the peak-shaving control data is sent to the adjustable load unit.

[0013] Compared with the prior art, the technical effects achieved by adopting the technical scheme are that: through the peak-shaving control data, the adjustable load unit can be guided to reduce power consumption in the load peak period and increase power consumption in the non-peak period, so as to effectively balance the supply and demand relationship of the power system.

[0014] In an embodiment of the present application, the control platform calculates the decrease amount of real-time power consumption and the increase amount of future power consumption according to the control plan, specifically including: when the adjustable load unit controls the power consumption equipment, the control plan is sent to the control platform; the control platform obtains the power consumption equipment closed by the adjustable load unit according to the control plan, and records it as an adjustable device, and calculates the decrease amount of real-time power consumption according to the adjustable device; the control platform obtains the running time of each adjustable device according to the control plan, and records the adjustable device running again as a restarted device, and calculates the increase amount of future power consumption according to the restarted device and the running time.

[0015] Compared with the prior art, the technical effects achieved by adopting the technical scheme are that: the generation of the control plan helps the control platform to master the reduced power consumption caused by equipment control in real time and accurately, and the control platform automatically performs relevant calculation and analysis according to the control plan, which reduces manual intervention and improves processing efficiency and accuracy.

[0016] In one embodiment of the present application, the implementation scheme is obtained by screening the control plan according to the increase and decrease of the electric quantity, and the corresponding peak shifting control data is uploaded according to the implementation scheme, specifically including: judging whether there is a situation of exceeding the peak threshold in the off-peak period according to the increase of the electric quantity, the historical power consumption and the peak threshold; if yes, determining the power consumption that can be increased in the off-peak period as the target increment according to the historical power consumption and the peak threshold, and obtaining the target decrease of the electric quantity as the target decrement according to the real-time power consumption and the peak threshold; screening the control plan according to the target increment and the target decrement to obtain the implementation scheme; feeding back the implementation scheme to the adjustable load unit, and uploading the corresponding peak shifting control data according to the implementation scheme.

[0017] Compared with the prior art, the technical effects achieved by adopting the technical scheme are: by analyzing the increase of the electric quantity, the historical power consumption and the peak threshold, it can be accurately judged whether there is a situation of exceeding the peak threshold in the off-peak period, and the target increment and the target decrement are determined accordingly; by real-time monitoring and dynamic adjustment of the peak shifting control plan, the situation of overload of the power grid load can be effectively avoided, which helps to enhance the stability of the power grid operation, reduce the occurrence of power failure accidents, and ensure the reliability of power supply.

[0018] In one embodiment of the present application, the implementation scheme is fed back to the adjustable load unit, and the corresponding peak shifting control data is uploaded according to the implementation scheme, specifically including: obtaining the real-time power consumption of the target area, and judging the implementation of the implementation scheme according to the real-time power consumption; when the implementation is as expected, sending a statement to the adjustable load unit; when the implementation is not as expected, the control platform re-sends the peak shifting control data to the adjustable load unit.

[0019] Compared with the prior art, the technical effects achieved by adopting the technical scheme are: by obtaining the real-time power consumption of the target area, the implementation of the peak shifting control measure can be monitored in real time, ensuring the dynamic grasp of the power grid operation state, and problems can be found in time and measures can be taken.

[0020] In one embodiment of the present application, a self-balancing system based on block chain technology is also provided, and the distribution network peak shifting self-balancing method described in the above embodiment is applied to the self-balancing system, and the self-balancing system comprises: a data acquisition module, the data acquisition module is used for acquiring real-time power consumption; a data communication module, the data communication module is used for the control platform to send peak shifting control data to the adjustable load unit and the adjustable load unit to feed back the control plan to the control platform; a data calculation module, the data calculation module is used for calculating the decrease and increase of the electric quantity; a data analysis module, the data analysis module is used for screening the control plan. BRIEF DESCRIPTION OF DRAWINGS

[0021] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following will briefly introduce the drawings to be used in the embodiment description. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can also be obtained by those skilled in the art without creative labor.

[0022] Figure 1 Figure 1 is a flowchart of the power distribution network peak-shaving self-balancing method based on the blockchain technology of the present application;

[0023] Figure 2 Figure 2 is another flowchart of the power distribution network peak-shaving self-balancing method based on the blockchain technology of the present application;

[0024] Figure 3 Figure 3 is a third flowchart of the power distribution network peak-shaving self-balancing method based on the blockchain technology of the present application;

[0025] Figure 4 Figure 4 is a fourth flowchart of the power distribution network peak-shaving self-balancing method based on the blockchain technology of the present application;

[0026] Figure 5 Figure 5 is a fifth flowchart of the power distribution network peak-shaving self-balancing method based on the blockchain technology of the present application;

[0027] Figure 6 Figure 6 is a sixth flowchart of the power distribution network peak-shaving self-balancing method based on the blockchain technology of the present application;

[0028] Figure 7 Figure 7 is a module diagram of the self-balancing system based on the blockchain technology of the present application.

[0029] Legend of reference signs:

[0030] 100 - self-balancing system; 110 - data acquisition module; 120 - data communication module; 130 - data calculation module; 140 - data analysis module. DETAILED DESCRIPTION

[0031] In order to make the above-mentioned purposes, features and advantages of the present application more obvious and easy to understand, the following will make a detailed description of the specific embodiments of the present application in combination with the drawings.

[0032]

First embodiment

[0033] Referring to Figure 1 In one specific embodiment, the present application provides a power distribution network peak-shaving self-balancing method based on the blockchain technology, which comprises:

[0034] S100, determining the peak period of electricity consumption of a target region according to the electricity consumption of the target region and the capacity of the power distribution network;

[0035] S200, obtaining peak power consumption of each power consumption unit in the target area during the peak period, and obtaining an adjustable load unit according to the peak power consumption and the unit type of the power consumption unit;

[0036] S300, obtaining real-time power consumption of the target area during the peak period, and sending peak-shaving control data to the adjustable load unit according to the real-time power consumption by the control platform;

[0037] S400, the adjustable load unit controls the power consumption equipment according to the peak-shaving control data, and feeds back the control plan to the control platform;

[0038] S500, the control platform calculates the decrease amount of real-time power consumption and the increase amount of future power consumption according to the control plan;

[0039] S600, filtering the control plan according to the decrease amount and the increase amount, obtaining an implementation scheme, feeding back the implementation scheme to the adjustable load unit, and uploading corresponding peak-shaving control data according to the implementation scheme.

[0040] In step S100, the target area refers to the area that needs to be managed and analyzed, for example, factory, commercial and residential power consumption, etc. The power consumption situation includes but is not limited to equipment running state, power consumption peak period, power consumption valley period, power consumption flat period and power consumption, etc. Generally, the power consumption rule of the target area can be obtained according to the historical power consumption of the target area, for example, the power consumption of a certain office building in winter and summer is greater than that in spring and autumn. For factories, the power consumption in the off-season is less than that in the peak season.

[0041] Generally speaking, due to the difference of load demand and the structure of power grid, the capacity of distribution network in different areas has certain difference. In order to ensure the stable operation of power control platform, the peak period of target area needs to be determined according to the capacity of distribution network and power consumption, for example, the period with load greater than or equal to 80% of the capacity of distribution network is recorded as the peak period.

[0042] Generally, the target area has certain power consumption regularity. Taking the determination of the peak period of the current natural day as an example, the peak period of the current natural day can be predicted through the power consumption of the adjacent natural day. For example, the power consumption peak period of an industrial park in March 24, 2025, March 25 and March 26 is from 9:00 to 11:00, which can be inferred that the peak period from 9:00 to 11:00 is the peak period of March 27, 2025.

[0043] For residential areas, due to the power consumption of residents and seasonal changes, the peak period in summer usually concentrates in 18:00-22:00, while the peak period in winter may appear in 7:00-9:00 and 18:00-21:00.

[0044] It should be noted that when there are holidays, maintenance, etc. special period, then, during the period of electricity can not be used as a reference standard to determine the peak period.

[0045] In step S200, the electricity unit includes but is not limited to industrial electricity unit, agricultural electricity unit, commercial electricity unit and residential electricity, etc. Generally, whether the electricity unit can stagger the electricity in the peak period is related to the type of the unit, for example, residents can put the activities such as washing clothes and charging after 23 o'clock, when irrigating farmland, the irrigation time can be placed in the low valley period of electricity, in addition, when industrial production, some cold chain equipment, life safety equipment and high-speed production line equipment and other equipment can not stagger the electricity.

[0046] In step S300, generally, the real-time electricity consumption of the target area can be obtained by the intelligent electric meter and the power monitoring and control platform in real time, the control platform analyzes the real-time electricity consumption data in combination with the distribution network capacity, evaluates the current electricity load, according to the comparison result of real-time electricity consumption and distribution network capacity, the control platform generates peak-shaving control data, which includes but is not limited to adjusting the electricity time, reducing the electricity power or switching to the standby power supply and other instructions.

[0047] In step S400, generally, the electricity unit can plan the electricity of the current working day according to the needs of production and life, for example, a large factory will develop a detailed electricity plan according to the production order and equipment running parameters to ensure the smooth progress of the production process and avoid damage to the equipment due to power shortage or overload, when the adjustable load unit receives the peak-shaving control data, it controls the electricity equipment according to the electricity plan, for example, a shopping mall will reasonably plan the electricity of lighting, air conditioning, elevator and other equipment according to the business hours, promotion activities arrangement and different area flow situation, when the adjustable load unit receives the peak-shaving control data, it can control the electricity equipment according to its electricity plan.

[0048] For example, when the peak period of the target area is from 10 to 11, a factory receives the peak-shaving control data at 10 o'clock, according to its electricity plan, it plans to close 20 electricity equipment at 10 o'clock until 17 o'clock restart, then the factory generates a control plan according to the number, model, closing time and restarting time of the closed electricity equipment, and feeds back the control plan to the control platform.

[0049] For example, when a certain adjustable load unit receives the peak-shaving control data, it does not control the electricity equipment due to production demand, when it does not control the electricity equipment, it does not need to feed back the control plan to the control platform.

[0050] In step S500, according to the power device start-stop or power adjustment measures in the control plan, the amount of all the loads turned off by the adjustable load unit in the current period is calculated to obtain the reduction amount of real-time power consumption, and according to the time and power size of the power device restarted in the control plan, the increase amount of future power consumption is calculated. For example, according to the control plan, the power device with a total power of 100 KW is turned off from 14 o'clock to 15 o'clock, and the power device with a total power of 90 KW is restarted from 21 o'clock. Therefore, at 14 o'clock, the reduction amount of real-time power consumption of the target area is 100 KW, and at 21 o'clock, the increase amount is 90 KW.

[0051] In addition, when the adjustable load unit receives the peak-shifting control data, some power devices that originally plan to start in the peak period but are not finally started in the peak period should also be included in the reduction amount of real-time power consumption. When calculating the increase amount of future power consumption, only whether the power device turned off in the control plan will be restarted in the future period is considered.

[0052] In step S600, generally, whether the peak shifting is effective can be obtained according to the reduction amount. When the reduction amount meets the peak shifting demand, whether the increase amount of future power consumption will cause a “second peak” is determined. If the increase amount of future power consumption does not cause a “second peak”, the peak-shifting control data is stopped from being sent to the adjustable load unit. If the increase amount of future power consumption causes a “second peak”, the control plans of each adjustable load unit need to be screened to obtain a reasonable implementation scheme. When the reduction amount does not meet the peak shifting demand, the peak-shifting control data needs to be continuously sent.

[0053] When the increase amount of future power consumption causes a “second peak”, the control plan of each adjustable load unit is adjusted, for example, the power consumption time of part of the adjustable load unit is adjusted. For example, the target area is in a non-peak period after 15 o'clock. Due to peak-shifting power consumption, the power consumption between 16 o'clock and 17 o'clock increases sharply, causing a “second peak” phenomenon. According to the control plan, the increase amount of 16 o'clock to 17 o'clock is reasonably distributed to other non-peak periods, so as to relieve the power consumption pressure between 16 o'clock and 17 o'clock.

[0054] The real-time monitoring of the power consumption of the target area and the power consumption of the adjustable load unit is performed. According to the real-time power consumption of the target area, whether the implementation scheme of the target area is effective is determined. When the implementation scheme is effective, the peak-shifting control data is stopped from being sent to the adjustable load unit. According to the power consumption of the adjustable load unit, whether the adjustable load unit consumes power according to the control plan is determined.

[0055] It should be noted that in order to improve data transparency and trust, the power consumption data of the target area, the power consumption data of the adjustable load unit, the control plan and the peak-shaving control data of the target area can be stored through the blockchain technology.

[0056] By determining the peak period according to the power consumption of the target area and the distribution network capacity, the period of power supply and demand tension can be more accurately identified. The adjustable load unit can be quickly determined through the peak power consumption and the unit type of the power consumption unit, thereby improving the regulation and control efficiency. The peak-shaving control data is sent to the adjustable load unit according to the real-time power consumption, which can effectively prevent the overload and voltage instability of the distribution network in the peak period due to excessive load. The adjustable load unit controls the power consumption equipment according to the peak-shaving control data, which helps to maintain the stable operation of the distribution network, reduces the probability of equipment failure and power failure, and ensures the reliability of power supply. The adjustable load unit feeds back the control plan to the control platform, which helps to understand the execution of each adjustable load unit in real time, and timely adjusts and optimizes the power grid operation strategy. The effect of peak-shaving can be judged by the decrease in real-time power consumption, and whether a "second peak" phenomenon will occur in the future period can be calculated by the increase in future power consumption. The implementation scheme is obtained by screening the control plan, so that the control measures are more scientific and accurate, the effect and pertinence of regulation and control are improved, and the power system meets the user's power demand while ensuring safe and efficient operation.

[0057]

Second embodiment

[0058] In a specific embodiment, the peak period of power consumption of the target area is determined according to the power consumption of the target area and the distribution network capacity, specifically including:

[0059] S110, obtaining the historical power consumption of the target area, calculating the ratio of the historical power consumption to the distribution network capacity to obtain a first load rate;

[0060] S120, comparing the first load rate with the peak threshold to obtain the peak period corresponding to the target area.

[0061] In step S120, the setting of the peak threshold needs to consider the peak-valley difference, the duration of each period and the user's peak-shaving potential. The calculation formula of the peak threshold is as follows:

[0062] ;

[0063] D=P÷C.

[0064] Wherein, D is the peak threshold, C is the distribution network capacity, is the load threshold, is the maximum safe load of the power grid, is the peak-valley difference, is the total length of the peak period, T is the total length of the peak period, the flat period and the valley period, is the user response coefficient, which refers to the ratio of the peak load that can be transferred by the power consumption unit in the target area during the peak period to the total load during the peak period. For example, k = 0.3 indicates that the power consumption unit can transfer 30% of the peak load.

[0065] For example, the peak period of a certain region is = 900 MW, = 600 MW, = 6h, T = 24h, k = 0.4, then P = 900-600x6 / 24x1 / (1+0.4) = 792.9MW, that is, when the real-time load approaches or exceeds 792.9MW, it is the peak period corresponding to the target area.

[0066] Generally, the determination of the peak period of the current natural day needs to obtain at least the peak periods of three consecutive adjacent natural days, and the peak period of the current working day is obtained according to the peak periods of the adjacent natural days.

[0067] For example, in order to determine the peak period of an industrial park on March 26, 2025, the peak periods of March 23, 2025, March 24, 2025 and March 25, 2025 are needed to obtain, and a machine learning model is used to predict the peak period of March 26, 2025.

[0068] The comparison of the first load rate with the peak threshold value obtains the peak period corresponding to the target area, which can dynamically adjust the division of the peak period according to the actual power consumption, realizes the accurate identification of the peak period, and provides a basis for the later power control.

[0069]

Third embodiment

[0070] Referring to Figure 2 In a specific embodiment, the peak power consumption of each power consumption unit in the target area during the peak period is obtained, and the adjustable load unit is obtained according to the peak power consumption and the unit type of the power consumption unit, specifically including:

[0071] S210, obtaining the peak power consumption of each power consumption unit during the peak period, and obtaining the load unit to be adjusted according to the peak power consumption and the power consumption threshold;

[0072] S220, judging whether there is power consumption equipment that can shift peak power in the load unit to be adjusted according to the unit type of the load unit to be adjusted;

[0073] S230, when the load unit to be adjusted has power consumption equipment that can shift peak power, the load unit to be adjusted is recorded as an adjustable load unit.

[0074] In step S210, the peak power consumption of each power consumption unit in the peak period is obtained by the smart meter or the power company, and different power consumption thresholds are set according to the size of the peak power consumption of each power consumption unit in the peak period. For example, some high-load industries such as steel manufacturing and power-intensive industries are set to have higher power consumption thresholds, while some low-load industries are set to have lower power consumption thresholds.

[0075] For example, the power consumption threshold of an industrial user can be set to 5% of the peak power consumption of the target area in the peak period, and the power consumption threshold of a commercial user can be set to 3%. When the peak power consumption of a power consumption unit in the peak period is greater than the power consumption threshold, the power consumption unit is recorded as a to-be-adjusted load unit.

[0076] In step S220, the power consumption, use period and power demand of all main power consumption equipment of the to-be-adjusted load unit are obtained by the smart meter or the power company. Through analysis and judgment of the device use mode and production process of the to-be-adjusted load unit, it is determined whether the power consumption equipment has flexibility in power consumption time. Some power consumption equipment is critical to production or operation and cannot be adjusted in operation time, while some power consumption equipment can be delayed or advanced without serious impact on production or operation. The power consumption equipment that can be peak-shifting is recorded as a peak-shifting equipment.

[0077] The peak power consumption and the power consumption threshold can accurately identify the units with high power consumption load in the peak period, providing a basis for subsequent peak-shifting management. By screening the adjustable load units, the load management is more targeted.

[0078]

Fourth embodiment

[0079] Referring to Figure 3 In a specific embodiment, the real-time power consumption of the target area in the peak period is obtained, and the peak-shifting management platform sends peak-shifting management data to the adjustable load unit according to the real-time power consumption, specifically including:

[0080] S310, record the ratio of the real-time power consumption to the distribution network capacity as a second load rate;

[0081] S320, determine whether to send peak-shifting management data to the adjustable load unit according to the second load rate, the load threshold and the time threshold.

[0082] In step S320, the load threshold refers to the ratio of the maximum load amount at which the power grid can operate normally to the distribution network capacity, which can be obtained from the national power grid or local government department, and the time length threshold refers to the reference value of the continuous time length during which the second load rate exceeds the peak threshold. The time length threshold can be set according to the control demand, and a load prediction model can be established according to historical power consumption data using regression analysis, time series analysis or machine learning model, etc. The duration of the peak period of the current natural day is predicted according to the load prediction model. For example, assuming that the peak threshold of a certain area is 80%, the average continuous duration of the peak period is 50 minutes, and the time length threshold is set to 70% of 50 minutes, i.e. 35 minutes. When the continuous time length during which the second load rate exceeds the peak threshold is greater than or equal to 35 minutes, the off-peak control data is sent. In addition, if the power grid load pressure is large, the time length threshold can be appropriately reduced.

[0083] The load threshold provides an important basis for resource allocation of the power system. By setting the time length threshold of different periods, users can be guided to use electricity during the load valley period and avoid the peak period, thereby achieving peak load shifting and valley filling of power load.

[0084]

Fifth embodiment

[0085] Referring to Figure 4 In a specific embodiment, whether to send off-peak control data to the adjustable load unit is determined according to the second load rate, the load threshold and the time length threshold, specifically including:

[0086] S321, when the second load rate is greater than or equal to the load threshold, sending off-peak control data to the adjustable load unit;

[0087] S322, counting the peak time length during which the second load rate continuously exceeds the peak threshold;

[0088] S323, when the peak time length is greater than or equal to the time length threshold, sending off-peak control data to the adjustable load unit.

[0089] In steps S321 and S323, a load prediction model is established according to historical power consumption data using regression analysis, time series analysis or machine learning model, etc. The duration of the peak period of the current natural day and the power consumption fluctuation during the peak period are predicted according to the load prediction model. The power consumption power that needs to be reduced is calculated according to the second load rate and the power consumption fluctuation during the peak period. The off-peak start and end time is obtained according to the peak time length and the time length threshold. The above obtained data generates off-peak control data.

[0090] For example, if the peak threshold of a certain area is 70%, the average continuous duration of the peak period is 100 minutes, the load threshold is 80%, and the duration threshold is 40 minutes, when the second load rate is 80%, according to the second load rate and the peak threshold, the second load rate needs to be reduced by 10%; when the second load rate is 75% and the peak duration is greater than or equal to 40 minutes, according to the second load rate and the peak threshold, the second load rate needs to be reduced by 5%.

[0091] It should be noted that, in general, there may be inaccurate prediction of peak periods, so it is necessary to monitor the power consumption of the target area and each power consumption unit in real time. When the prediction of the peak period is inaccurate and a new peak period appears, the peak-shifting control data is sent to the adjustable load unit.

[0092] In step S322, the continuous duration of the load exceeding the load threshold can be recorded in real time by the monitoring system. For example, a timer can be set to start timing when the load exceeds the load threshold, and stop timing when the load is below the threshold.

[0093] It should be noted that when the second load rate is less than the load threshold or the peak duration is less than the duration threshold, the peak-shifting control data does not need to be sent to the adjustable load unit.

[0094] Through the peak-shifting control data, the adjustable load unit can be guided to reduce power consumption during the load peak period and increase power consumption during the non-peak period, thereby effectively balancing the supply and demand relationship of the power system.

[0095]

Sixth embodiment

[0096] Referring to Figure 5 In a specific embodiment, the control platform calculates the decrease amount of real-time power consumption and the increase amount of future power consumption according to the control plan, specifically including:

[0097] S510, when the adjustable load unit controls the power consumption equipment, sending the control plan to the control platform;

[0098] S520, the control platform obtains the power consumption equipment closed by the adjustable load unit according to the control plan, denoted as adjustable equipment, and calculates the decrease amount of real-time power consumption according to the adjustable equipment;

[0099] S530, the control platform obtains the running time of each adjustable equipment according to the control plan, and records the re-running adjustable equipment as restarted equipment, and calculates the increase amount of future power consumption according to the restarted equipment and the re-running time.

[0100] In step S510, when the adjustable load unit receives the peak-shaving control data, there are generally two possible situations, the first one is to control the power-consuming equipment according to the peak-shaving control data and the production plan, and the second one is not to control the power-consuming equipment. When the adjustable load unit controls the power-consuming equipment, the subsequent restart time of the controlled power-consuming equipment and the duration after the restart are set according to the production plan, and a control plan is generated.

[0101] In step S530, generally, when the adjustable equipment is restarted and runs in the off-peak period, the adjustable equipment is recorded as a restarted equipment, and the future power consumption increase amount is obtained by the power of the restarted equipment.

[0102] It should be noted that when the control plan changes, the new control plan needs to be sent to the control platform.

[0103] The generation of the control plan helps the control platform to master the reduced power consumption due to equipment control in real time and accurately. The control platform automatically performs relevant calculations and analysis according to the control plan, reduces manual intervention, and improves processing efficiency and accuracy.

[0104]

Seventh Embodiment

[0105] Referring to Figure 6 In one specific embodiment, the control plan is screened according to the reduction amount and the increase amount to obtain an implementation scheme, the implementation scheme is fed back to the adjustable load unit, and corresponding peak-shaving control data is uploaded according to the implementation scheme. Specifically, it includes:

[0106] S610, determining whether there is a situation of exceeding the peak threshold in the off-peak period according to the increase amount, the historical power consumption, and the peak threshold;

[0107] S620, if yes, determining the power consumption that can be increased in the off-peak period according to the historical power consumption and the peak threshold, recording it as a target increment, determining a target reduction amount recorded as a target decrement according to the real-time power consumption and the peak threshold, and screening the control plan according to the target increment and the target decrement to obtain an implementation scheme;

[0108] S630, feeding back the implementation scheme to the adjustable load unit, and uploading corresponding peak-shaving control data according to the implementation scheme.

[0109] In step S610, the future power consumption is obtained by using the historical power consumption and the load prediction model, the sum of the increase amount of the future power consumption and the future power consumption is compared with the peak threshold, and it is determined whether there is a situation of exceeding the peak threshold in the off-peak period.

[0110] In step S620, generally, in the case of a large power of the devices restarted at the same time during the off-peak period, there may be a case of exceeding the peak threshold. In this case, there are generally two options. The first option is that when the drop amount is greater than the target drop amount, the priority of the control plan is sorted, and the adjustable load unit that does not need to be controlled is screened out. The second option is that when the drop amount is greater than or equal to the target drop amount, the control plan is screened according to the target increment and the increment amount, and the adjustable load unit whose restart time needs to be replaced is screened out. The results of the screening are generated into an implementation scheme.

[0111] It should be noted that when there is no case of exceeding the peak threshold, a statement is sent to the adjustable load unit, informing the adjustable load unit to control the power consumption device according to the control plan.

[0112] By analyzing the increment amount, the historical power consumption, and the peak threshold, it can be accurately judged whether there is a case of exceeding the peak threshold during the off-peak period, and the target increment and the target drop amount are determined accordingly. By real-time monitoring and dynamic adjustment of the peak-shifting control plan, the situation of overload of the power grid load can be effectively avoided, which helps to enhance the stability of the power grid operation, reduce the occurrence of power outage accidents, and ensure the reliability of power supply.

[0113]

Eighth Embodiment

[0114] In a specific embodiment, the implementation scheme is fed back to the adjustable load unit, and the corresponding peak-shifting control data is uploaded according to the implementation scheme, specifically including:

[0115] S631, obtaining the real-time power consumption of the target area, and judging the implementation of the implementation scheme according to the real-time power consumption;

[0116] S632, when the implementation is as expected, a statement is sent to the adjustable load unit, and when the implementation is not as expected, the control platform re-sends the peak-shifting control data to the adjustable load unit.

[0117] In step S632, when the real-time power consumption after control is not greater than the peak threshold, or the continuous duration greater than the peak threshold is less than the duration threshold, it can be considered that the implementation is as expected. When the implementation is as expected, a statement is sent to the adjustable load unit, informing the adjustable load unit to control the power consumption device according to the implementation scheme. When the implementation is not as expected, the control platform re-sends the peak-shifting control data to the adjustable load unit.

[0118] By obtaining the real-time power consumption of the target area, the implementation of the peak-shifting control measure can be monitored in real time, ensuring dynamic control of the power grid operation state, and problems can be found and measures can be taken in time.

[0119]

Ninth Embodiment

[0120] Referring to Figure 7 In a specific embodiment, the application further provides a self-balancing system 100 based on blockchain technology, wherein the power distribution peak-shaving self-balancing method described in the above embodiment is applied to the self-balancing system 100, and the self-balancing system 100 comprises: a data acquisition module 110, which is configured to acquire real-time power consumption; a data communication module 120, which is configured to send peak-shaving control data from a control platform to an adjustable load unit and to feed back the control plan from the adjustable load unit to the control platform; a data calculation module 130, which is configured to calculate the decrease and increase of power consumption; and a data analysis module 140, which is configured to screen the control plan.

[0121] Although the application is disclosed as above, the application is not limited to this. Any person skilled in the art can make various changes and modifications without departing from the spirit and scope of the application, and the protection scope of the application should be subject to the scope defined by the claims.

Claims

1. A method for self-balancing of power distribution network peak-shaving based on blockchain technology, characterized in that, The power distribution network peak-shifting self-balancing method comprises: determining a peak period of electricity consumption of a target area according to electricity consumption of the target area and a power distribution network capacity of the target area; obtaining peak electricity consumption of each electricity consumption unit in the target area in the peak period, and obtaining an adjustable load unit according to the peak electricity consumption and a unit type of the electricity consumption unit; obtaining real-time electricity consumption of the target area in the peak period, and sending peak-shifting control data to the adjustable load unit according to the real-time electricity consumption by a control platform; controlling electricity equipment according to the peak-shifting control data by the adjustable load unit, and feeding back a control plan to the control platform; sending the control plan to the control platform when the adjustable load unit controls the electricity equipment; obtaining the electricity equipment turned off by the adjustable load unit as an adjustable device according to the control plan by the control platform, and calculating a decreasing amount of the real-time electricity consumption according to the adjustable device; obtaining a time of re-operation of each adjustable device according to the control plan by the control platform, and recording the adjustable device re-operated as a restarted device, and calculating an increasing amount of future electricity consumption according to the restarted device and the time of re-operation; judging whether a situation of exceeding a peak threshold in a non-peak period exists according to the increasing amount, historical electricity consumption and the peak threshold; if yes, determining an electricity consumption amount that can be increased in the non-peak period as a target increment according to the historical electricity consumption and the peak threshold, and obtaining a target decreasing amount as a target decrement according to the real-time electricity consumption and the peak threshold; screening the control plan according to the target increment and the target decrement to obtain an implementation scheme; feeding back the implementation scheme to the adjustable load unit, and uploading corresponding peak-shifting control data according to the implementation scheme; The determination of the peak period of electricity consumption of the target area according to the electricity consumption of the target area and the power distribution network capacity of the target area specifically comprises: obtaining historical electricity consumption of the target area, calculating a ratio of the historical electricity consumption to the power distribution network capacity to obtain a first load rate; comparing the first load rate with a peak threshold to obtain the peak period corresponding to the target area; The peak threshold is set by comprehensively considering a peak-valley difference, a duration of each period and a user peak-shifting potential, and a calculation formula of the peak threshold is as follows: ； D=P÷C; Wherein, D is the peak threshold, C is the distribution network capacity, is the load threshold, is the maximum safe load of the power grid, is the peak-valley difference, is the total duration of the peak period; T is the total duration of the peak period, the flat period and the valley period, is the user response coefficient, which refers to the ratio of the peak load that can be transferred by the electricity consumption unit in the target area in the peak period to the total load in the peak period.

2. The method of claim 1, wherein, The obtaining of the peak electricity consumption of each electricity consumption unit in the target area in the peak period, and the obtaining of the adjustable load unit according to the peak electricity consumption and the unit type of the electricity consumption unit specifically comprise: obtaining peak electricity consumption of each electricity consumption unit in the peak period, and obtaining a to-be-adjusted load unit according to the peak electricity consumption and an electricity consumption threshold; judging whether there is electricity equipment capable of peak-shifting electricity consumption in the to-be-adjusted load unit according to the unit type of the to-be-adjusted load unit; when the to-be-adjusted load unit has the electricity equipment capable of peak-shifting electricity consumption, recording the to-be-adjusted load unit as the adjustable load unit.

3. The method of claim 2, wherein, The real-time power consumption of the target area in the peak period is obtained, and a control platform sends peak-shifting control data to the adjustable load unit according to the real-time power consumption, specifically including: The ratio of the real-time power consumption to the distribution network capacity is recorded as a second load rate; According to the second load rate, a load threshold, and a duration threshold, it is determined whether to send the peak-shifting control data to the adjustable load unit.

4. The method of claim 3, wherein, The peak-shifting control data is obtained according to the second load rate, a load threshold, and a duration threshold, specifically including: When the second load rate is greater than or equal to the load threshold, the peak-shifting control data is sent to the adjustable load unit; The peak duration of the second load rate being greater than the peak threshold is counted; When the peak duration is greater than or equal to the duration threshold, the peak-shifting control data is sent to the adjustable load unit.

5. The method of claim 4, wherein, The implementation scheme is fed back to the adjustable load unit, and the corresponding peak-shifting control data is uploaded according to the implementation scheme, specifically including: The real-time power consumption of the target area is obtained, and the implementation of the implementation scheme is determined according to the real-time power consumption; When the implementation is as expected, a statement is sent to the adjustable load unit; When the implementation is not as expected, the control platform re-sends the peak-shifting control data to the adjustable load unit. 6.A self-balancing system based on blockchain technology, characterized in that, The distribution network peak-shifting self-balancing method according to any one of claims 1 to 5 is applied to the self-balancing system, and the self-balancing system includes: A data acquisition module is configured to acquire the real-time power consumption; A data communication module is configured to send the peak-shifting control data from the control platform to the adjustable load unit and to feed back the control plan from the adjustable load unit to the control platform; A data calculation module is configured to calculate the decrease and increase of the power consumption; A data analysis module is configured to filter the control plan.

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