Load Regulation Method and System Considering Demand Response

Abstract

The present invention provides a load regulation method and system considering demand response. The method includes: based on the regulation power target, according to a preset load aggregation strategy, performing power distribution of load-side resources to determine the predicted power of each aggregation regulation unit; wherein, the aggregation regulation unit includes: a forward aggregation unit, a reverse aggregation unit and a bidirectional aggregation unit; the forward aggregation unit includes adjustable load resources; the reverse aggregation unit includes active power generation resources; the bidirectional aggregation unit includes energy storage resources. Based on the operating power and the predicted power, adjust the power of each aggregation regulation unit according to the adjustable power of each aggregation regulation unit and the average predicted statistical accuracy adjustment coefficient. It can give full play to the regulation potential of load regulation resources to a greater extent and improve the accuracy of load regulation.

Description

Technical Field

[0001] The present invention relates to the technical field of power systems, and particularly to a load regulation method and system considering demand response. Background Art

[0002] With the development of new power systems and the change of energy forms, refined load regulation is a key direction for future energy development. Power demand response is an important part of power system operation and an important way for loads to participate in power system regulation.

[0003] Currently, with the full development of new power system construction, the trend of active loads is becoming more and more obvious. Facilities such as distributed power sources on the customer side, electric vehicle charging facilities, distributed energy storage, and self-owned power plants are widely connected, and the power flow of customer-side loads participating in the power system shows two-way flow, and the adjustable capacity is also becoming more complex.

[0004] When participating in power grid regulation, the load side shows a two-way power flow and an increase in time-periodic load fluctuations. Therefore, it is necessary to control the load adjustable resources more precisely so that the load can better participate in power grid interaction and response.

[0005] When the current load participates in power grid interaction, the load often aggregates all adjustable resources into a total adjustment unit to participate in power grid interaction. In this way, the regulation targets of the power grid are directly decomposed to each regulation resource. However, due to the inconsistent characteristics of various regulation resources such as customer-side energy storage, distributed power sources, electric vehicle charging and discharging facilities, and production equipment, the unified adjustment unit often submerges various types of adjustment personalities, resulting in insufficient utilization of the regulation potential.

[0006] Therefore, how to provide a load regulation method and system considering demand response to give full play to the regulation potential of load regulation resources to a greater extent and improve the accuracy of load regulation has become an urgent problem to be solved. Summary of the Invention

[0007] In view of the deficiencies in the prior art, embodiments of the present invention provide a load regulation method and system considering demand response.

[0008] The present invention provides a load regulation method considering demand response, including:

[0009] Based on the regulation power target, according to the preset load aggregation strategy, perform power distribution of load-side resources to determine the predicted power of each aggregated regulation unit; wherein, the aggregated regulation unit includes: a forward aggregation unit, a reverse aggregation unit, and a two-way aggregation unit; the forward aggregation unit includes adjustable load resources; the reverse aggregation unit includes active power generation resources; the two-way aggregation unit includes energy storage resources.

[0010] Based on the operating power and the predicted power, adjust the power of each aggregated regulation unit according to the adjustable power of each aggregated regulation unit and the adjustment coefficient of the average prediction statistical accuracy rate.

[0011] According to the load regulation method considering demand response provided by the present invention, based on the adjustment power target, perform the power distribution of the load-side resources according to the preset load aggregation strategy, and determine the predicted power of each aggregated regulation unit, specifically including:

[0012] Divide the load-side resources into three types of aggregated regulation units according to the preset load aggregation strategy;

[0013] Based on the adjustment power target, perform the power distribution of the load-side resources according to the preset aggregated unit adjustment rule, and determine the predicted power of each aggregated regulation unit; wherein, the predicted power includes: the total predicted power of the aggregated regulation unit and the predicted power of each regulation resource inside the aggregated regulation unit.

[0014] According to the load regulation method considering demand response provided by the present invention, the preset load resource distribution rule specifically includes:

[0015] Among each aggregated regulation unit, determine the total predicted power of each aggregated regulation unit in the order of first the reverse aggregation unit, then the bidirectional aggregation unit, and finally the forward aggregation unit;

[0016] Inside the aggregated regulation unit, determine the predicted power of each regulation resource in the order of increasing prediction statistical accuracy rate adjustment coefficient.

[0017] According to the load regulation method considering demand response provided by the present invention, based on the operating power and the predicted power, adjust the power of each aggregated regulation unit according to the adjustable power of each aggregated regulation unit and the adjustment coefficient of the average prediction statistical accuracy rate, specifically including:

[0018] Based on the predicted power, determine the adjustable power of each aggregated regulation unit according to the demand response potential model of each aggregated regulation unit; wherein, the adjustable power includes: the total adjustable power of the aggregated regulation unit and the adjustable power of each regulation resource inside the aggregated regulation unit; the demand response potential model includes: the calculation formula for the adjustable power of the aggregated regulation unit and the range limit formula for the adjustable power of the regulation resource;

[0019] Determine the average prediction statistical accuracy rate adjustment coefficient of each aggregated regulation unit according to the prediction statistical accuracy rate adjustment coefficient of the regulation resources in each aggregated regulation unit;

[0020] Determine the operating power deviation according to the difference between the operating power and the adjustment power target;

[0021] If it is determined that the operating power deviation exceeds the preset allowable deviation range, then based on the adjustable power of each aggregation adjustment unit and the average prediction statistical accuracy adjustment coefficient, according to the preset load resource adjustment rule, the power of each aggregation adjustment unit is adjusted.

[0022] According to the load adjustment method considering demand response provided by the present invention, based on the predicted power, according to the demand response potential model of each aggregation adjustment unit, the adjustable power of each aggregation adjustment unit is determined, specifically including:

[0023] According to the adjustable power range limit formula of the adjustment resource, the adjustable power range of each adjustment resource inside the aggregation adjustment unit is determined;

[0024] Based on the adjustable power range of each adjustment resource, according to the adjustable power calculation formula of the aggregation adjustment unit, the total adjustable power of the aggregation adjustment unit is determined.

[0025] According to the load adjustment method considering demand response provided by the present invention, the preset load resource adjustment rule specifically includes:

[0026] When it is determined that the operating power deviation is positive, the power of the reverse aggregation unit is increased, the bidirectional adjustment resource is discharged, and the power of the forward aggregation unit is reduced;

[0027] When it is determined that the operating power deviation is negative, the power of the reverse aggregation unit is reduced, the bidirectional adjustment resource is charged, and the power of the forward aggregation unit is increased.

[0028] According to the load adjustment method considering demand response provided by the present invention, the preset load resource adjustment rule specifically includes:

[0029] Among the aggregation adjustment units, according to the order from large to small of the average prediction statistical accuracy adjustment coefficient, the adjustment power of each aggregation adjustment unit is determined respectively;

[0030] Inside the aggregation adjustment unit, according to the order from large to small of the prediction statistical accuracy adjustment coefficient, the adjustment power of each adjustment resource is determined respectively.

[0031] The present invention also provides a load adjustment system considering demand response, including: a resource power distribution unit and a power deviation correction unit;

[0032] The resource power distribution unit is used to perform power distribution of load-side resources based on the adjustment power target, according to the preset load aggregation strategy, and determine the predicted power of each aggregation adjustment unit; wherein, the aggregation adjustment unit includes: a forward aggregation unit, a reverse aggregation unit, and a bidirectional aggregation unit; the forward aggregation unit includes adjustable load resources; the reverse aggregation unit includes active power generation resources; the bidirectional aggregation unit includes energy storage resources.

[0033] A power deviation correction unit, configured to adjust the power of each aggregated regulation unit based on the operating power and the predicted power, according to the adjustable power of each aggregated regulation unit and the average predicted statistical accuracy adjustment coefficient.

[0034] The present invention also provides an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the program, the steps of any one of the above-mentioned load regulation methods considering demand response are implemented.

[0035] The present invention also provides a non-transitory computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of any one of the above-mentioned load regulation methods considering demand response are implemented.

[0036] The load regulation method and system considering demand response provided by the present invention design a preset load aggregation strategy, comprehensively consider different characteristics of loads, divide loads into forward aggregation units, reverse aggregation units, and bidirectional aggregation units according to the operating mode of loads and the flow mode of current, perform power distribution of load-side resources, and decompose the regulation target. After a demand response cycle, the operating power is monitored. When load regulation is performed, the power of each aggregated regulation unit is adjusted according to the adjustable power of the three types of aggregated units and the average predicted statistical accuracy adjustment coefficient, which can give full play to the regulation potential of different aggregated units, jointly participate in grid interactive regulation, and improve the accuracy of load regulation. Description of the Drawings

[0037] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the following drawings are some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0038] Figure 1 It is a flowchart of the load regulation method considering demand response provided by the present invention;

[0039] Figure 2 It is a schematic flowchart of the load regulation method considering demand response provided by the prior art;

[0040] Figure 3 It is a schematic diagram of the regulation characteristics of the reverse aggregation unit provided by the present invention;

[0041] Figure 4 It is a schematic diagram of the regulation characteristics of the forward aggregation unit provided by the present invention;

[0042] Figure 5 It is a schematic diagram of the regulation characteristics of the bidirectional aggregation unit provided by the present invention;

[0043] Figure 6 Schematic structural diagram of the load regulation system considering demand response provided by the present invention;

[0044] Figure 7 Schematic physical structure diagram of the electronic device provided by the present invention. Detailed implementation manners

[0045] To make the objectives, technical solutions and advantages of the present invention clearer, the technical solutions in the present invention will be clearly and completely described below with reference to the accompanying drawings in the present invention. Apparently, the described embodiments are some but not all of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments in the present invention without making creative efforts shall fall within the protection scope of the present invention.

[0046] Figure 1 Flowchart of the load regulation method considering demand response provided by the present invention. As Figure 1 shown, the present invention provides a load regulation method considering demand response, including:

[0047] The present invention provides a load regulation method considering demand response, including:

[0048] Step S1: Based on the regulation power target, according to the preset load aggregation strategy, perform power distribution of the load-side resources to determine the predicted power of each aggregation regulation unit; wherein, the aggregation regulation unit includes: a forward aggregation unit, a reverse aggregation unit, and a bidirectional aggregation unit; the forward aggregation unit includes adjustable load resources; the reverse aggregation unit includes active power generation resources; the bidirectional aggregation unit includes energy storage resources.

[0049] Step S2: Based on the operating power and the predicted power, adjust the power of each aggregation regulation unit according to the adjustable power of each aggregation regulation unit and the average predicted statistical accuracy adjustment coefficient.

[0050] Specifically, Figure 2 Schematic flowchart of the load regulation method considering demand response provided by the prior art. As Figure 2 shown, in the present invention, the demand response simulation process adopts a regulation strategy of reporting in advance and correcting within the day. The process includes steps such as day-ahead prediction, day-ahead reporting, receiving day-ahead confirmation, power decomposition of three types of aggregation units, operation monitoring of three types of aggregation resources, and deviation correction.

[0051] According to the power flow characteristics of the regulation resources on the customer side, the present invention designs a preset load aggregation strategy, and classifies the load side resources into a forward aggregation unit, a reverse aggregation unit, and a bidirectional aggregation unit. The forward aggregation unit includes adjustable load resources, including production loads, lighting loads, etc.; the reverse aggregation unit includes resources that can actively generate electricity, such as customer-side distributed power sources and self-owned power plants; the bidirectional aggregation unit includes energy storage resources.

[0052] During day-ahead forecasting, the above three aggregation regulation units are predicted respectively, and the above prediction results are reported to the master station system. The superior master station system receives the day-ahead confirmation and determines the final regulation power target. For example: according to the prediction results, the demand response 96-point curve and the adjustable range curve of the three types of resources are reported. The superior master station system aggregates according to the reported regulation response interval, incorporates it into the overall power grid analysis, and then confirms the load side regulation target P t ={P t1 ,…,P t96}, and issues it. P t1 ,…,P t96 represents the power preset value at each 15-minute point of the demand response day.

[0053] It can be understood that the specific methods of day-ahead forecasting, day-ahead reporting, and receiving day-ahead confirmation can be set according to actual needs, and the present invention does not limit this.

[0054] In step S1, based on the regulation power target, according to the preset load aggregation strategy, the power distribution of the load side resources is carried out to determine the predicted power of each aggregation regulation unit.

[0055] It can be understood that in the actual application of the present invention, the regulation power target issued by the master station system is generally divided into two ways: the total power response curve and the power curves of the three types of aggregation units (aggregation regulation units). When the master station system issues the total power response curve, when carrying out the power distribution of the load side resources, according to the received power regulation target, the total power is first distributed to the three types of aggregation regulation units. Further, after the distribution of the three types of aggregation regulation units is completed or directly according to the power curves of the three types of aggregation units, the decomposition and distribution are carried out inside the three types of resources to determine the predicted power of each aggregation regulation unit.

[0056] In the present invention, the specific rules for power distribution to the aggregation regulation units according to the total power and power distribution inside the aggregation regulation units can be set according to actual needs, and the present invention does not limit this.

[0057] After entering the demand response cycle, the operating power data of each regulating resource is monitored in real time, and the operating powers of the three types of aggregated resources are cumulatively calculated to obtain the total operating power of the load operation. In step S2, based on the operating power, the gap between the operating power and the regulating target power can be determined to decide whether load regulation is required. If load regulation is required, based on the above predicted power, the adjustable power of each aggregated regulating unit and the average predicted statistical accuracy regulating coefficient are calculated, and the power of each aggregated regulating unit is adjusted according to the calculation results.

[0058] It can be understood that in the present invention, the specific calculation method for determining the adjustable power of each aggregated regulating unit and the average predicted statistical accuracy regulating coefficient according to the predicted power of each aggregated regulating unit, as well as the specific method for adjusting the power of each aggregated regulating unit according to the calculation results, can be set according to the actual situation, and the present invention does not limit this.

[0059] The load regulation method considering demand response provided by the present invention designs a preset load aggregation strategy, comprehensively considers different characteristics of the load, divides the load into a forward aggregation unit, a reverse aggregation unit, and a bidirectional aggregation unit according to the operating mode of the load and the flow mode of the current, performs power distribution of the load-side resources, and decomposes the regulation target. After the demand response cycle, the operating power is monitored. When performing load regulation, the power of each aggregated regulating unit is adjusted according to the adjustable power of the three types of aggregated units and the average predicted statistical accuracy regulating coefficient, which can give full play to the regulation potential of different aggregated units, jointly participate in the grid interactive regulation, and improve the accuracy of load regulation.

[0060] Optionally, according to the load regulation method considering demand response provided by the present invention, based on the regulation power target, according to the preset load aggregation strategy, the power distribution of the load-side resources is performed to determine the predicted power of each aggregated regulating unit, which specifically includes:

[0061] According to the preset load aggregation strategy, the load-side resources are divided into three types of aggregated regulating units;

[0062] Based on the regulation power target, according to the preset aggregated unit regulation rule, the power distribution of the load-side resources is performed to determine the predicted power of each aggregated regulating unit; wherein, the predicted power includes: the total predicted power of the aggregated regulating unit and the predicted power of each regulating resource inside the aggregated regulating unit.

[0063] Specifically, the present invention comprehensively considers different characteristics of the load, presets a load aggregation strategy according to the operating mode of the load and the flow mode of the current, and divides the load-side resources into three types of aggregated regulating units: a forward aggregation unit, a reverse aggregation unit, and a bidirectional aggregation unit.

[0064] After determining the regulation power target, it is determined whether to issue the total power response curve or the power curves of three types of aggregated units. According to the preset aggregated unit regulation rules, if the total power response curve target is issued, the three types of aggregated resources are first decomposed. After the power curves of the three types of aggregated regulation units are allocated (the power curves of the three types of aggregated units), the decomposition and allocation are then carried out within the three types of resources, and the demand response can be decomposed to each regulation load to determine the predicted power of each aggregated regulation unit. The predicted power includes: the total predicted power of the aggregated regulation unit and the predicted power of each regulation resource within the aggregated regulation unit.

[0065] The load regulation method considering demand response provided by the present invention designs a preset load aggregation strategy, comprehensively considers different characteristics of loads, classifies loads into forward aggregated units, reverse aggregated units, and bidirectional aggregated units according to the operation mode of the loads and the flow mode of the current, performs power distribution of load-side resources, decomposes the regulation target, and can decompose the demand response to each regulation load. Compared with the prior art, the classification of load regulation resources adopted by the present invention is more refined, can give full play to the regulation potential of different aggregated units to a greater extent, and improve the accuracy of load regulation. After the demand response cycle, the operating power is monitored. During load regulation, the power of each aggregated regulation unit is adjusted according to the adjustable power of the three types of aggregated units and the average prediction statistical accuracy adjustment coefficient to jointly participate in the interactive regulation of the power grid.

[0066] Optionally, according to the load regulation method considering demand response provided by the present invention, the preset load resource allocation rules specifically include:

[0067] Among the aggregated regulation units, in the order of first the reverse aggregated unit, then the bidirectional aggregated unit, and finally the forward aggregated unit, the total predicted power of each aggregated regulation unit is determined respectively;

[0068] Within the aggregated regulation unit, in the order of the prediction statistical accuracy adjustment coefficient from small to large, the predicted power of each regulation resource is determined respectively.

[0069] Specifically, the preset load resource allocation rules designed by the present invention, in order to minimize user losses as much as possible, among the aggregated regulation units, in the order of first the reverse aggregated unit, then the bidirectional aggregated unit, and finally the forward aggregated unit, the total predicted power of each aggregated regulation unit is determined respectively.

[0070] After the allocation of the three types of aggregated regulation units is completed, within the aggregated regulation unit, the deviation minimum allocation strategy is adopted. In the order of the prediction statistical accuracy adjustment coefficient from small to large, the resource with the highest accuracy is used to correct the deviation, and the predicted power of each regulation resource is determined respectively. This allocation method can ensure that the most reliable regulation resources are used to minimize the deviation.

[0071] It can be understood that the prediction statistical accuracy adjustment coefficient is statistically calculated online according to the prediction deviation, and the specific calculation method is not limited.

[0072] The load regulation method considering demand response provided by the present invention designs a preset load aggregation strategy, comprehensively considers different characteristics of loads, divides loads into forward aggregation units, reverse aggregation units, and bidirectional aggregation units according to the operation mode of loads and the flow mode of current, and performs power distribution of load-side resources according to the preset load resource allocation rule, decomposes the regulation target, and ensures that the smallest deviation is met with the most reliable regulation resources on the premise of minimizing user losses as much as possible. After the demand response cycle, the operating power is monitored. When the load is regulated, the power of each aggregation regulation unit is adjusted according to the adjustable power of the three types of aggregation units and the average prediction statistical accuracy adjustment coefficient, which can give full play to the adjustment potential of different aggregation units, jointly participate in the interactive regulation of the power grid, and improve the accuracy of load regulation.

[0073] Optionally, according to the load regulation method considering demand response provided by the present invention, based on the operating power and the predicted power, the power of each aggregation regulation unit is adjusted according to the adjustable power of each aggregation regulation unit and the average prediction statistical accuracy adjustment coefficient, which specifically includes:

[0074] Based on the predicted power, the adjustable power of each aggregation regulation unit is determined according to the demand response potential model of each aggregation regulation unit; wherein, the adjustable power includes: the total adjustable power of the aggregation regulation unit and the adjustable power of each regulation resource inside the aggregation regulation unit; the demand response potential model includes: the calculation formula for the adjustable power of the aggregation regulation unit and the formula for restricting the adjustable power range of the regulation resource.

[0075] The average prediction statistical accuracy adjustment coefficient of each aggregation regulation unit is determined according to the prediction statistical accuracy adjustment coefficient of the regulation resources in each aggregation regulation unit.

[0076] The operating power deviation is determined according to the difference between the operating power and the regulation power target.

[0077] If it is determined that the operating power deviation exceeds the preset allowable deviation range, then based on the adjustable power of each aggregation regulation unit and the average prediction statistical accuracy adjustment coefficient, the power of each aggregation regulation unit is adjusted according to the preset load resource regulation rule.

[0078] Specifically, for the characteristics of different aggregation regulation units, a corresponding demand response potential model of the aggregation regulation unit is constructed for each aggregation regulation unit. The demand response potential model includes: the calculation formula for the adjustable power of the aggregation regulation unit and the formula for restricting the adjustable power range of the regulation resource.

[0079] Based on the predicted power of each aggregation regulation unit determined in advance, according to the calculation formula of the adjustable power of the aggregation regulation unit and the range limit formula of the adjustable power of the regulation resource, the adjustable power of each aggregation regulation unit can be calculated. The adjustable power includes: the total adjustable power of the aggregation regulation unit and the adjustable power of each regulation resource inside the aggregation regulation unit.

[0080] It can be understood that when the present invention is actually applied, the specific expression mode of the calculation formula of the adjustable power of the aggregation regulation unit and the range limit formula of the adjustable power of the regulation resource, and the specific calculation method of the adjustable power can be set according to the actual situation, and the present invention does not make any limitation thereto.

[0081] Calculate the average value of the prediction statistical accuracy adjustment coefficients of the regulation resources in each aggregation regulation unit to determine the average prediction statistical accuracy adjustment coefficient of each aggregation regulation unit.

[0082] The average prediction statistical accuracy adjustment coefficients of the three types of resources are α 1 , α 2 , α 3 , and the calculation method is as follows:

[0083]

[0084]

[0085]

[0086] In the formula, α 1 is the average prediction statistical accuracy adjustment coefficient of the reverse aggregation unit; α 1i is the prediction statistical accuracy adjustment coefficient of the reverse regulation resource; α 2 is the average prediction statistical accuracy adjustment coefficient of the forward aggregation unit; α 2j is the prediction statistical accuracy adjustment coefficient of the forward regulation resource; α 3 is the average prediction statistical accuracy adjustment coefficient of the bidirectional aggregation unit; α 3k is the prediction statistical accuracy adjustment coefficient of the bidirectional regulation resource.

[0087] After entering the demand response cycle, monitor the operating power in real time, and determine the operating power deviation according to the difference between the operating power and the regulation power target.

[0088] It can be understood that in the present invention, the above-mentioned operating power is the total operating power on the load side. In the actual application process of the present invention, the total operating power on the load side can be directly obtained, or by monitoring the operating power data of each regulation resource in real time, and accumulating and calculating the operating power of the three types of aggregation resources, and determining it according to the sum of the operating powers of the three types of aggregation regulation units. The present invention does not make any limitation on the specific data acquisition method.

[0089] If it is determined that the operating power deviation exceeds the preset allowable deviation range (such as 3%), deviation correction needs to be started. Based on the adjustable power of each aggregation adjustment unit and the adjustment coefficient of the average prediction statistical accuracy rate, according to the preset load resource adjustment rule, within the adjustable power range, the power of each aggregation adjustment unit is adjusted.

[0090] It can be understood that the preset allowable deviation range and the preset load resource adjustment rule in the present invention can both be set according to actual needs, and the present invention does not limit this.

[0091] The load adjustment method considering demand response provided by the present invention designs a preset load aggregation strategy, comprehensively considers different characteristics of loads, divides loads into forward aggregation units, reverse aggregation units, and bidirectional aggregation units according to the operating mode of loads and the flow mode of current, performs power distribution of load-side resources, and decomposes the adjustment target. After the demand response cycle, the operating power is monitored. When adjusting the load, according to the adjustable power of the three types of aggregation adjustment units and the adjustment coefficient of the average prediction statistical accuracy rate, the power of each aggregation adjustment unit is adjusted, which can give full play to the adjustment potential of different aggregation units, jointly participate in grid interactive adjustment, and improve the accuracy of load adjustment.

[0092] Optionally, according to the load adjustment method considering demand response provided by the present invention, based on the predicted power, according to the demand response potential model of each aggregation adjustment unit, the adjustable power of each aggregation adjustment unit is determined, specifically including:

[0093] According to the adjustable power range limit formula of the adjustment resource, determine the adjustable power range of each adjustment resource inside the aggregation adjustment unit;

[0094] Based on the adjustable power range of each adjustment resource, according to the adjustable power calculation formula of the aggregation adjustment unit, determine the total adjustable power of the aggregation adjustment unit.

[0095] Specifically, a demand response adjustment potential model is established for the three types of aggregation adjustment units, specifically as follows:

[0096] Reverse aggregation unit demand response potential:

[0097]

[0098] E 1ie *α 1i -E 1imin ≤E 1i ≤E 1imax -E 1ie *α 1i (2)

[0099] Among them, P 1To inversely regulate the adjustable power of resources, n represents the number of inverse regulation resources, and E 1i represents the adjustable power of each inverse resource. E 1imin is the minimum power generation, E 1imax is the maximum power generation; E 1ie is the predicted power of this inverse regulation resource, and α 1i is the adjustment coefficient of the prediction statistical accuracy rate. E 1ie *α 1i -E 1imin represents the power generation that can be reduced; E 1imax -E 1ie *α 1i represents the power generation that can be increased.

[0100] The adjustable potential range of each inverse adjustable resource can be calculated through equation (2). For distributed PV, affected by meteorological regulation, distributed PV generally cannot be increased, that is, E 1imax =E 1ie *α 1i ; for other power generation forms with bidirectional adjustable power generation, up and down adjustment can be performed according to their characteristics. Here, α is introduced as the prediction statistical error. The calculation method is to perform statistics online based on the prediction deviation, and use the statistical result to correct E 1ie .

[0101] Positive aggregation unit demand response potential:

[0102]

[0103] E 2je *α 2j -E 2jmin ≤E 2j (4)

[0104] Among them, P 2j is the adjustable power of the positive regulation resource, m represents the number of positive regulation resources, and E 2j represents the adjustable power of each positive resource. E 2jmin is the minimum load power, E 2je is the predicted power of this positive regulation resource, and α 2j is the adjustment coefficient of the prediction statistical accuracy rate.

[0105] The maximum adjustable potential range of each positive adjustable resource can be calculated through equation (4). Here, α is introduced as the load prediction statistical error. The calculation method is to perform statistics online based on the prediction deviation, and use the statistical result to correct E 2je .

[0106] Bidirectional aggregation unit demand response potential:

[0107]

[0108] E 3ke *α 3k -E 3kmin ≤E 3k ≤E 3kmax -E 3ke *α 3k (6)

[0109] Among them, P 3 is the adjustable power of the bidirectional regulation resource, o represents the number of bidirectional regulation resources, and E 3k represents the adjustable power of each bidirectional resource. E 3kmin is the minimum power generation power, and E 3kmax is the maximum power generation power; E 3ke is the predicted power of the reverse regulation resource, and α 3k is the adjustment coefficient of the prediction statistical accuracy rate. E 3ke *α 3k -E 3kmin represents the maximum adjustable power generation power; E 3kmax -E 3ke *α 3k represents the maximum adjustable charging power.

[0110] Through formula (6), the adjustment potential range of each bidirectional adjustable resource can be calculated. α is the prediction statistical error, and the calculation method is to perform statistics online according to the prediction deviation, and correct E 3ke based on the statistical results.

[0111] After entering the demand response cycle, according to the adjustable power range limit formulas (2), (4), and (6) of the regulation resources, the adjustable power range of each regulation resource inside the aggregated regulation unit is determined.

[0112] Based on the adjustable power range of each regulation resource, according to the adjustable power calculation formulas (1), (3), and (5) of the aggregated regulation unit, the total adjustable power of the aggregated regulation unit is calculated in real time.

[0113] The load regulation method considering demand response provided by the present invention designs a preset load aggregation strategy, comprehensively considers different characteristics of loads, classifies loads into forward aggregation units, reverse aggregation units and bidirectional aggregation units according to the operation mode of loads and the flow mode of current, performs power distribution of load-side resources, and decomposes the regulation target. After the demand response cycle, the operating power is monitored. During load regulation, a demand response regulation potential model is established for the three types of aggregation regulation units to calculate the adjustable power. According to the adjustable power of the three types of aggregation units and the average prediction statistical accuracy adjustment coefficient, the power of each aggregation regulation unit is adjusted, which can give full play to the regulation potential of different aggregation units, jointly participate in the interactive regulation of the power grid, and improve the accuracy of load regulation.

[0114] Optionally, according to the load regulation method considering demand response provided by the present invention, a preset load resource regulation rule is as follows:

[0115] When it is determined that the operating power deviation is positive, increase the power of the reverse aggregation unit, discharge the bidirectional regulation resource, and reduce the power of the forward aggregation unit;

[0116] When it is determined that the operating power deviation is negative, reduce the power of the reverse aggregation unit, charge the bidirectional regulation resource, and increase the power of the forward aggregation unit.

[0117] Specifically, if it is determined that the operating power deviation exceeds the preset deviation allowable range (such as 3%), deviation correction needs to be started. At this time, according to the magnitude of the operating power deviation, it can be divided into two cases. Therefore, the preset load resource regulation rule is divided into two categories according to the magnitude of the operating power deviation.

[0118] Operating deviation ΔP = P - P t ;

[0119] In the formula, P represents the load power (total operating power on the load side), and P t represents the regulation power target.

[0120] Among them, when it is determined that the operating power deviation is positive (ΔP > 0), it means that the power exceeds the expectation and the power needs to be reduced. Increase the power of the reverse aggregation unit, discharge the bidirectional regulation resource, and reduce the power of the forward aggregation unit;

[0121] When it is determined that the operating power deviation is negative (ΔP < 0), it means that the power is insufficient and the power needs to be increased. Reduce the power of the reverse aggregation unit, charge the bidirectional regulation resource, and increase the power of the forward aggregation unit.

[0122] The load regulation method considering demand response provided by the present invention designs a preset load aggregation strategy, comprehensively considers different characteristics of loads, divides loads into positive aggregation units, reverse aggregation units and bidirectional aggregation units according to the operation mode of loads and the flow mode of current, conducts power distribution of load-side resources, and decomposes the regulation target. After the demand response cycle, the operating power is monitored. During load regulation, according to the real-time regulation power deviation, the power of each aggregation regulation unit is adjusted according to the adjustable power of the three types of aggregation units and the adjustment coefficient of the average prediction statistical accuracy rate, which can be maximally matched with the determined power generation plan, avoid the mutual influence of different types of regulation resources, can fully exert the regulation potential of different aggregation units, jointly participate in the interactive regulation of the power grid, and improve the accuracy of load regulation.

[0123] Optionally, according to the load regulation method considering demand response provided by the present invention, a preset load resource regulation rule is as follows:

[0124] Among the aggregation regulation units, the regulation power of each aggregation regulation unit is determined respectively in the order from large to small of the adjustment coefficient of the average prediction statistical accuracy rate;

[0125] Inside the aggregation regulation unit, the regulation power of each regulation resource is determined respectively in the order from large to small of the prediction statistical accuracy rate adjustment coefficient.

[0126] Specifically, in order to ensure the reliability of regulation, the preset load resource regulation rule further includes:

[0127] Among the aggregation regulation units, the regulation power of each aggregation regulation unit is determined respectively in the order from large to small of the adjustment coefficient of the average prediction statistical accuracy rate.

[0128] Inside the aggregation regulation unit, the regulation power of each regulation resource is determined respectively in the order from large to small of the prediction statistical accuracy rate adjustment coefficient.

[0129] Regulation is carried out through the above preset load resource regulation rule until the demand response regulation ends.

[0130] The load regulation method considering demand response provided by the present invention designs a preset load aggregation strategy, comprehensively considers different characteristics of loads, divides loads into forward aggregation units, reverse aggregation units, and bidirectional aggregation units according to the operation mode of loads and the flow mode of current, performs power distribution of load-side resources, and decomposes the regulation target. After the demand response cycle, the operating power is monitored. During load regulation, according to the adjustable power of the three types of aggregation units and the adjustment coefficient of the average prediction statistical accuracy rate, through the sorting of the adjustment coefficient of the prediction statistical accuracy rate, the power deviation is decomposed and adjusted in real time, and the power of each aggregation regulation unit is adjusted, which can be maximally matched with the determined power generation plan, avoid the mutual influence of different types of regulation resources, fully exert the regulation potential of different aggregation units, jointly participate in the grid interactive regulation, and improve the accuracy of load regulation.

[0131] The load regulation method considering demand response provided by the present invention is specifically described in combination with application examples:

[0132] Taking customer A as an example, the customer is installed with 100 kW of photovoltaic power generation, 50 kW of micro gas turbines, 500 kW of adjustable load air conditioners, 50 kW of lighting, and a set of energy storage of 30 kW / 60 kWh, and another set of 20 kW / 40 kWh.

[0133] According to the aggregation mode, the photovoltaic power generation and the micro gas turbine are aggregated into reverse adjustable resources; the adjustable load and the lighting are aggregated into forward adjustable resources, and the two sets of energy storage are aggregated into positive-direction adjustable resources.

[0134] It is known that the maximum power generation of the photovoltaic is 80 kW, the adjustable power generation range of the gas turbine is 5 - 45 kW; the air conditioner and the lighting are interruptible loads, and the power adjustment ranges of the energy storage are 2 kW - 28 kW and 1 kW - 19 kW respectively.

[0135] Photovoltaic prediction statistical accuracy rate adjustment coefficient α 11 = 0.89, gas turbine prediction statistical accuracy rate adjustment coefficient α 12 = 0.98; air conditioner prediction statistical accuracy rate adjustment coefficient α 21 = 0.94, lighting prediction statistical accuracy rate adjustment coefficient α 21 = 0.98; energy storage prediction statistical accuracy rate adjustment coefficient α 31 = 0.97.

[0136] 1) Prediction and reporting

[0137] The prediction data of each device and the data of the bidirectional aggregation unit are shown in Tables 1 and 2 respectively (the prediction uses the traditional trend extrapolation method. The data during the demand response period from 10:00 to 12:00 is taken). Figure 3 This is a schematic diagram of the adjustment characteristics of the reverse aggregation unit provided by the present invention. Figure 4Schematic diagram of the forward aggregation unit regulation characteristics provided by the present invention Figure 5 Schematic diagram of the two-way aggregation unit regulation characteristics provided by the present invention. The regulation ranges of three types of resources can be obtained as shown in Figures 3 - 5 (Table 3), and the regulated resources (Table 4) are obtained according to Formulas (1), (3) and (5), and this is used as the reported data

[0138] Table 1 Resource Prediction Table

[0139]

[0140]

[0141] Table 2 Aggregation Unit Regulation Range Table

[0142]

[0143] Table 3 Aggregation Unit Regulation Potential Table

[0144]

[0145] Confirmed data before the receiving date:

[0146] Assume that the power value during the demand response period received is 180 kW, then the following regulation power table can be obtained:

[0147] Table 4 Regulation Power Table

[0148]

[0149]

[0150] Aggregate resource power distribution:

[0151] First, perform the aggregation unit allocation. Give priority to allocating the forward aggregation unit. Since the power needs to be regulated in the forward direction, that is, the power is reduced, the reverse aggregation unit needs to be adjusted upward. Secondly, adjust the two-way aggregation resources to keep them in the upward adjustment state. Finally, adjust the forward adjustment resources downward to obtain the power distribution as shown in Table 5

[0152] Table 5 Power Distribution Table

[0153]

[0154] Further, perform the regulation resource allocation. According to the resources in the above table, among the reverse regulation resources, give priority to regulating the photovoltaic resources, and then regulate the gas resources; among the two-way aggregation units, simultaneously regulate the energy storage resources. Among the two-way aggregation resources, give priority to regulating the air-conditioning resources, and finally regulate the lighting resources. The regulation results of various resources can be obtained as shown in Table 6

[0155] Table 6 Regulation Results Table of Various Resources

[0156] Photovoltaic Gas Energy Storage 1 Energy Storage 2 Air Conditioning Lighting 0.00 -23.56 -11.56 -8.44 31.27 0.00 0.00 -25.23 -11.12 -8.16 41.27 0.00 0.00 -24.17 -9.62 -7.19 53.57 0.00 0.00 -23.93 -10.78 -7.94 58.10 0.00 0.00 -4.54 -12.19 -8.84 72.41 0.00 0.00 -6.61 -13.60 -9.74 70.17 0.00 0.00 -5.25 -42.34 -28.16 45.31 0.00 0.00 -4.69 -32.75 -22.01 32.29 0.00 0.00 -3.56 -46.35 -31.02 58.67 0.00 0.00 -2.69 -44.94 -30.10 62.41 0.00 0.00 -1.33 -43.54 -29.18 79.50 0.00 0.00 -4.69 -42.13 -28.25 76.48 0.00

[0157] Demand response process deviation correction:

[0158] From the prediction statistical accuracy adjustment coefficient, it can be seen that the average deviation adjustment coefficient of the reverse aggregation unit is 0.935, the average deviation adjustment coefficient of the forward aggregation unit is 0.96, and the average deviation adjustment coefficient of the bidirectional aggregation unit is 0.97.

[0159] Therefore, it is preferred to use the bidirectional aggregation unit for adjustment, followed by the forward aggregation unit for adjustment, and finally the reverse aggregation unit for adjustment. In this example, since the adjustment capacity of the bidirectional aggregation unit has been used up, the forward aggregation unit is used for adjustment. For example, when a deviation of 5 kW occurs, all adjustments are made by the forward aggregation unit. At the same time, due to the large prediction deviation adjustment system for lighting, lighting is preferred for adjustment.

[0160] Through the above process, the adjustment characteristics of the forward, reverse, and bidirectional aggregation units can be fully utilized, and the logical processing process is simple. The aggregation and decomposition of load adjustment resources can be quickly realized, which is suitable for practical engineering applications.

[0161] It should be noted that in this case, the demand response adjustment target uses the forward aggregation resources and all the adjustment potentials of the reverse aggregation resources; however, when the demand response targets are different, the usage of various resources will be different, and the decomposition can also be carried out according to the above strategy.

[0162] Figure 6 This is the structural schematic diagram of the load adjustment system considering demand response provided by the present invention. As Figure 6 shown, the present invention also provides a load adjustment system considering demand response, including: a resource power distribution unit 601 and a power deviation correction unit 602;

[0163] The resource power distribution unit 601 is used to perform power distribution of load-side resources based on the adjustment power target according to the preset load aggregation strategy to determine the predicted power of each aggregation adjustment unit; among them, the aggregation adjustment unit includes: a forward aggregation unit, a reverse aggregation unit, and a bidirectional aggregation unit; the forward aggregation unit includes adjustable load resources; the reverse aggregation unit includes active power generation resources; the bidirectional aggregation unit includes energy storage resources.

[0164] The power deviation correction unit 602 is used to adjust the power of each aggregation adjustment unit based on the operating power and the predicted power according to the adjustable power of each aggregation adjustment unit and the average prediction statistical accuracy adjustment coefficient.

[0165] Specifically, Figure 2 This is the flow schematic diagram of the load adjustment method considering demand response provided by the present prior art. AsFigure 2 As shown, in the present invention, the demand response simulation process adopts an adjustment strategy of reporting in advance and correcting within the day. The process includes steps such as day-ahead prediction, day-ahead reporting, receiving day-ahead confirmation, power decomposition of three types of aggregation units, operation monitoring of three types of aggregation resources, and deviation correction.

[0166] According to the power flow characteristics of the customer-side adjustment resources, the present invention designs a preset load aggregation strategy, and classifies the load-side resources into forward aggregation units, reverse aggregation units, and bidirectional aggregation units. The forward aggregation units include adjustable load resources, including production loads, lighting loads, etc.; the reverse aggregation units include resources that can actively generate electricity, such as customer-side distributed power sources and self-owned power plants; the bidirectional aggregation units include energy storage resources.

[0167] During day-ahead prediction, the above three aggregation adjustment units are predicted respectively, and the above prediction results are reported to the master station system. The superior master station system receives the day-ahead confirmation and determines the final adjustment power target. For example: according to the prediction results, report the 96-point curves of the demand response of the three types of resources and the adjustable range curves. The superior master station system aggregates according to the reported adjustment response interval, incorporates it into the overall analysis of the power grid, and then confirms the load-side adjustment target P t ={P t1 ,…,P t96}, and issues it. P t1 ,…,P t96 represents the power preset value of each 15 minutes of the demand response day.

[0168] It can be understood that the specific methods of day-ahead prediction, day-ahead reporting, and receiving day-ahead confirmation can be set according to actual needs, and the present invention does not limit this.

[0169] The resource power distribution unit 601 is used to perform power distribution of the load-side resources based on the adjustment power target and according to the preset load aggregation strategy, and determine the predicted power of each aggregation adjustment unit.

[0170] It can be understood that in the actual application of the present invention, the adjustment power target issued by the master station system is generally divided into two ways: the total power response curve and the power curves of three types of aggregation units (aggregation adjustment units). When the master station system issues the total power response curve, when performing power distribution of the load-side resources, according to the received power adjustment target, first allocate the total power to the three types of aggregation adjustment units. Further, after the distribution of the three types of aggregation adjustment units is completed or directly according to the power curves of the three types of aggregation units, then decompose and distribute within the three types of resources to determine the predicted power of each aggregation adjustment unit.

[0171] In the present invention, the power distribution of the aggregation regulation unit according to the total power and the specific rules for the power distribution inside the aggregation regulation unit can be set according to actual requirements, and the present invention does not limit this.

[0172] After entering the demand response cycle, the operating power data of each regulation resource is monitored in real time, and the operating powers of the three types of aggregation resources are accumulated and calculated to obtain the total operating power of the load operation. The power deviation correction unit 602 is used to determine the gap between the operating power and the regulation target power based on the operating power, and determine whether load regulation is required. If load regulation is required, based on the above predicted power, the adjustable power of each aggregation regulation unit and the average prediction statistical accuracy regulation coefficient are calculated, and the power of each aggregation regulation unit is adjusted according to the calculation results.

[0173] It can be understood that in the present invention, the specific calculation method for determining the adjustable power of each aggregation regulation unit and the average prediction statistical accuracy regulation coefficient according to the predicted power of each aggregation regulation unit, and the specific method for adjusting the power of each aggregation regulation unit according to the calculation results can be set according to the actual situation, and the present invention does not limit this.

[0174] The load regulation system considering demand response provided by the present invention designs a preset load aggregation strategy, comprehensively considers different characteristics of the load, divides the load into a forward aggregation unit, a reverse aggregation unit, and a bidirectional aggregation unit according to the operating mode of the load and the flow mode of the current, performs power distribution of the load-side resources, and decomposes the regulation target. After the demand response cycle, the operating power is monitored. During load regulation, the power of each aggregation regulation unit is adjusted according to the adjustable power of the three types of aggregation units and the average prediction statistical accuracy regulation coefficient, which can fully exert the regulation potential of different aggregation units, jointly participate in the grid interactive regulation, and improve the accuracy of load regulation.

[0175] It should be noted that the load regulation system considering demand response provided by the present invention is used to execute the above-mentioned load regulation method considering demand response, and its specific implementation manner is consistent with the method implementation manner, and will not be elaborated here.

[0176] Figure 7 It is a schematic physical structure diagram of the electronic device provided by the present invention, as Figure 7As shown, the electronic device may include: a processor 701, a communications interface 702, a memory 703, and a communication bus 704. Among them, the processor 701, the communications interface 702, and the memory 703 complete communication with each other through the communication bus 704. The processor 701 may call the logical instructions in the memory 703 to execute a load regulation method considering demand response. The method includes: based on the regulation power target, according to the preset load aggregation strategy, performing power distribution of load-side resources to determine the predicted power of each aggregation regulation unit; wherein, the aggregation regulation unit includes: a forward aggregation unit, a reverse aggregation unit, and a bidirectional aggregation unit; the forward aggregation unit includes adjustable load resources; the reverse aggregation unit includes active power generation resources; the bidirectional aggregation unit includes energy storage resources. Based on the operating power and the predicted power, adjust the power of each aggregation regulation unit according to the adjustable power of each aggregation regulation unit and the average predicted statistical accuracy adjustment coefficient.

[0177] In addition, when the logical instructions in the above-mentioned memory 703 are implemented in the form of software functional units and sold or used as independent products, they may be stored in a computer-readable storage medium. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or a part of the technical solution, may be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods in various embodiments of the present invention. The foregoing storage medium includes: various media such as USB flash drives, mobile hard disks, read-only memories (ROMs), random access memories (RAMs), magnetic disks, or optical discs that can store program codes.

[0178] On the other hand, the present invention also provides a computer program product. The computer program product includes a computer program stored on a non-transitory computer-readable storage medium. The computer program includes program instructions. When the program instructions are executed by a computer, the computer can execute the load regulation method considering demand response provided by each of the above methods. The method includes: based on a regulation power target, according to a preset load aggregation strategy, performing power allocation of load-side resources to determine the predicted power of each aggregation regulation unit; wherein, the aggregation regulation unit includes: a forward aggregation unit, a reverse aggregation unit, and a bidirectional aggregation unit; the forward aggregation unit includes adjustable load resources; the reverse aggregation unit includes active power generation resources; the bidirectional aggregation unit includes energy storage resources. Based on the operating power and the predicted power, according to the adjustable power of each aggregation regulation unit and the average prediction statistical accuracy adjustment coefficient, adjusting the power of each aggregation regulation unit.

[0179] In another aspect, the present invention also provides a non-transitory computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, it is configured to execute the load regulation method considering demand response provided by each of the above. The method includes: based on a regulation power target, according to a preset load aggregation strategy, performing power allocation of load-side resources to determine the predicted power of each aggregation regulation unit; wherein, the aggregation regulation unit includes: a forward aggregation unit, a reverse aggregation unit, and a bidirectional aggregation unit; the forward aggregation unit includes adjustable load resources; the reverse aggregation unit includes active power generation resources; the bidirectional aggregation unit includes energy storage resources. Based on the operating power and the predicted power, according to the adjustable power of each aggregation regulation unit and the average prediction statistical accuracy adjustment coefficient, adjusting the power of each aggregation regulation unit.

[0180] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place, or may be distributed to multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment. A person of ordinary skill in the art can understand and implement it without creative efforts.

[0181] Through the description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on such an understanding, the essence of the above technical solution, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to enable a computer device (which can be a personal computer, server, or network device, etc.) to execute the methods of each embodiment or some parts of the embodiments.

[0182] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of each embodiment of the present invention.

Claims

1. A load regulation method considering demand response, characterized in that, it includes: Based on the regulation power target, according to the preset load aggregation strategy, perform power distribution of load-side resources to determine the predicted power of each aggregation regulation unit; wherein, the aggregation regulation unit includes: a forward aggregation unit, a reverse aggregation unit, and a bidirectional aggregation unit; the forward aggregation unit includes adjustable load resources; the reverse aggregation unit includes active power generation resources; the bidirectional aggregation unit includes energy storage resources; Based on the operating power and the predicted power, adjust the power of each aggregation regulation unit according to the adjustable power of each aggregation regulation unit and the average predicted statistical accuracy adjustment coefficient; The step of performing power distribution of load-side resources based on the regulation power target, according to the preset load aggregation strategy, to determine the predicted power of each aggregation regulation unit specifically includes: According to the preset load aggregation strategy, divide the load-side resources into three types of aggregation regulation units; Based on the regulation power target, according to the preset aggregation unit regulation rule, perform power distribution of load-side resources to determine the predicted power of each aggregation regulation unit; wherein, the predicted power includes: the total predicted power of the aggregation regulation unit and the predicted power of each regulation resource inside the aggregation regulation unit; The step of adjusting the power of each aggregation regulation unit based on the operating power and the predicted power, according to the adjustable power of each aggregation regulation unit and the average predicted statistical accuracy adjustment coefficient specifically includes: Based on the predicted power, according to the demand response potential model of each aggregation regulation unit, determine the adjustable power of each aggregation regulation unit; wherein, the adjustable power includes: the total adjustable power of the aggregation regulation unit and the adjustable power of each regulation resource inside the aggregation regulation unit; the demand response potential model includes: an aggregation regulation unit adjustable power calculation formula and a regulation resource adjustable power range limit formula; Determine the average predicted statistical accuracy adjustment coefficient of each aggregation regulation unit according to the predicted statistical accuracy adjustment coefficient of the regulation resources in each aggregation regulation unit; Determine the operating power deviation according to the difference between the operating power and the regulation power target; If it is determined that the operating power deviation exceeds the preset deviation allowable range, then based on the adjustable power of each aggregation regulation unit and the average predicted statistical accuracy adjustment coefficient, according to the preset load resource regulation rule, adjust the power of each aggregation regulation unit.

2. The load regulation method considering demand response according to claim 1, characterized in that, the preset aggregation unit regulation rule specifically includes: Among the aggregation regulation units, in the order of the reverse aggregation unit first, then the bidirectional aggregation unit, and finally the forward aggregation unit, determine the total predicted power of each aggregation regulation unit respectively; Inside the aggregation regulation unit, in the order of the predicted statistical accuracy adjustment coefficient from small to large, determine the predicted power of each regulation resource respectively.

3. The load regulation method considering demand response according to claim 1, characterized in that, the step of determining the adjustable power of each aggregation regulation unit based on the predicted power, according to the demand response potential model of each aggregation regulation unit specifically includes: Determine the adjustable power range of each adjustment resource inside the aggregated adjustment unit according to the adjustable power range limit formula of the adjustment resource; Based on the adjustable power range of each adjustment resource, determine the total adjustable power of the aggregated adjustment unit according to the adjustable power calculation formula of the aggregated adjustment unit.

4. The load adjustment method considering demand response according to claim 1, characterized in that the preset load resource adjustment rule specifically includes: When it is determined that the operating power deviation is positive, increase the power of the reverse aggregation unit, discharge the bidirectional adjustment resource, and reduce the power of the forward aggregation unit; When it is determined that the operating power deviation is negative, reduce the power of the reverse aggregation unit, charge the bidirectional adjustment resource, and increase the power of the forward aggregation unit.

5. The load adjustment method considering demand response according to claim 1, characterized in that the preset load resource adjustment rule specifically includes: Among the aggregated adjustment units, determine the adjustment power of each aggregated adjustment unit in descending order of the average prediction statistical accuracy adjustment coefficient; Inside the aggregated adjustment unit, determine the adjustment power of each adjustment resource in descending order of the prediction statistical accuracy adjustment coefficient.

6. A load adjustment system for the load adjustment method considering demand response according to any one of claims 1 to 5, characterized in that it includes: a resource power distribution unit and a power deviation correction unit; The resource power distribution unit is used to perform power distribution of load-side resources based on the adjustment power target according to the preset load aggregation strategy, and determine the predicted power of each aggregated adjustment unit; wherein, the aggregated adjustment unit includes: a forward aggregation unit, a reverse aggregation unit, and a bidirectional aggregation unit; the forward aggregation unit includes adjustable load resources; the reverse aggregation unit includes active power generation resources; the bidirectional aggregation unit includes energy storage resources; The power deviation correction unit is used to adjust the power of each aggregated adjustment unit based on the operating power and the predicted power according to the adjustable power of each aggregated adjustment unit and the average prediction statistical accuracy adjustment coefficient.

7. An electronic device, characterized in that it includes a memory and a processor, and the processor and the memory complete communication with each other through a bus; the memory stores program instructions executable by the processor, and the processor can execute the load adjustment method considering demand response according to any one of claims 1 to 5 by invoking the program instructions.

8. A non-transitory computer-readable storage medium, on which a computer program is stored, characterized in that when the computer program is executed by a processor, it implements the load adjustment method considering demand response according to any one of claims 1 to 5.

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