A method and system for responding to power grid demand

Abstract

The present invention discloses a method and system for power grid demand response, the method comprising: obtaining a plurality of power consumption attributes corresponding to each power grid user; based on a preset power consumption attribute screening priority ranking, screening out a plurality of target response users whose power consumption attributes meet the power consumption attribute screening priority ranking from a plurality of the power grid users; determining the load reduction response amount corresponding to each of the target response users according to the current total load reduction demand, and instructing the target response users to respond to the demand according to the load reduction response amount corresponding to them. The present invention can flexibly and automatically screen the target response users based on the power consumption attribute screening priority ranking, has high efficiency and is not limited to only considering the screening factor of transformer operating capacity, thereby effectively reducing the proportion of power grid users with larger transformer operating capacity among target response users, while ensuring the reliable implementation of power grid demand response.

Description

Technical Field

[0001] The present invention relates to the technical field of power systems, and in particular to a power grid demand response method and system. Background Art

[0002] Demand response refers to the grid instructing users to adjust the operating status of electrical equipment to reduce electricity consumption during peak electricity consumption periods. The purpose is to transfer part of the peak load to the off-peak period and reduce the peak-to-valley difference in load, thereby improving the reliability of the power system and ensuring stable operation of the grid.

[0003] In the prior art, when it is necessary to respond to grid demand, it is usually necessary to manually sort the transformer operating capacity of each electricity user, and only select electricity users with larger transformer operating capacity for demand response. The transformer operating capacity of each electricity user is applied to the grid by the electricity user according to his actual production needs. Therefore, the load scale of electricity users with larger transformer operating capacity is generally larger, such as large industrial enterprises, large commercial complexes, etc. Due to the large number of electricity users, manual screening will result in a long time-consuming formulation of demand response strategies, and it is difficult to respond to grid demand in a timely manner. In addition, the factors considered in the prior art are single. Although electricity users with larger transformer operating capacity can quickly meet the power grid's power restriction needs during peak hours, frequently selecting such users for demand response will have a serious impact on the daily production operations of such users. Summary of the invention

[0004] The present invention provides a power grid demand response method and system, which can flexibly and automatically screen target response users based on the priority sorting of electricity consumption attributes, with high efficiency and not limited to considering only the screening factor of transformer operating capacity, thereby effectively reducing the proportion of power grid users with larger transformer operating capacity among target response users, while ensuring the reliable implementation of power grid demand response.

[0005] In order to solve the above technical problems, a first aspect of an embodiment of the present invention provides a power grid demand response method, including:

[0006] Obtain several electricity consumption attributes corresponding to each power grid user;

[0007] Based on the preset power usage attribute screening priority ranking, screening out a plurality of target response users whose power usage attributes meet the power usage attribute screening priority ranking from the plurality of power grid users;

[0008] According to the current total load reduction demand, the load reduction response amount corresponding to each target response user is determined, and the target response user is instructed to respond to the demand according to the corresponding load reduction response amount.

[0009] As a preferred solution, the screening priority ranking based on the preset power consumption attribute is to screen out a plurality of target response users whose power consumption attributes meet the power consumption attribute screening priority ranking from a plurality of power grid users, specifically including:

[0010] According to the maximum value and the minimum value of each of the power usage attributes, normalize each of the power usage attributes corresponding to each of the power grid users to obtain an index value corresponding to each of the power usage attributes;

[0011] Based on the power usage attribute screening priority sorting, a plurality of the indicator values ​​corresponding to each of the power grid users are sorted by cardinality to obtain a user sorting list that meets the power usage attribute screening priority sorting;

[0012] According to the preset number of response users to be screened, and in accordance with the sorting order of each of the power grid users in the user sorting list, a number of the target response users are screened out from the user sorting list;

[0013] Among them, the electricity consumption attributes include user level, per-mu benefit, mounted line load, electricity consumption credit score, response frequency and transformer operating capacity.

[0014] As a preferred solution, the priority sorting based on the power consumption attribute screening is performed on the plurality of index values ​​corresponding to each of the power grid users in cardinality sorting to obtain a user sorting list that meets the priority sorting of the power consumption attribute screening, specifically including:

[0015] Based on the power consumption attribute screening priority sorting, a plurality of the index values ​​corresponding to each of the power grid users are combined into a multi-digit index number;

[0016] Performing radix sorting on each index value in each of the multi-digit index numbers from the lowest digit to the highest digit, and determining sorting results of a plurality of the multi-digit index numbers;

[0017] According to the sorting results and the grid users corresponding to the multi-digit indicator numbers, a user sorting list that meets the priority sorting of the power consumption attribute screening is obtained.

[0018] As a preferred solution, the load reduction response amount corresponding to each target response user is determined according to the current total load reduction demand, specifically including:

[0019] According to the current total load reduction demand and the number of the target response users, the average load reduction response amount corresponding to each of the target response users is determined, and the average load reduction response amount is used as the load reduction response amount corresponding to each of the target response users.

[0020] As a preferred solution, the load reduction response amount corresponding to each target response user is determined according to the current total load reduction demand, specifically including:

[0021] Determining the load reduction response amount allocation ratio corresponding to each of the target response users according to the transformer operating capacity corresponding to each of the target response users;

[0022] The load reduction response amount corresponding to each of the target response users is determined according to the current total load reduction demand amount and the load reduction response amount allocation ratio.

[0023] As a preferred solution, after determining the load reduction response amount corresponding to each of the target response users, the method further includes:

[0024] When receiving a demand for reducing the response amount fed back by any target response user, adjusting the user adjustment factor of the target response user who fed back the demand for reducing the response amount; wherein the initial value of the user adjustment factor of each target response user is 1;

[0025] When a regional response amount reduction demand corresponding to the area where any target response user is located is received, the regional adjustment factors of all target response users in the area where the regional response amount reduction demand exists are adjusted; wherein the initial value of the regional adjustment factor of each target response user is 1;

[0026] Determine the load reduction adjustment amount corresponding to each of the target response users according to the current total load reduction demand, the current user adjustment factor and the regional adjustment factor of each of the target response users;

[0027] According to the load reduction response amount, the load reduction adjustment amount, the first preset weight coefficient corresponding to the load reduction response amount, and the second preset weight coefficient corresponding to the load reduction adjustment amount, the load reduction response adjustment amount corresponding to each of the target response users is obtained, and the target response user is instructed to perform demand response according to the corresponding load reduction response adjustment amount;

[0028] Wherein, the load reduction response adjustment amount corresponding to the target response user that feeds back the response amount reduction demand is less than the load reduction response amount;

[0029] The load reduction response adjustment amounts corresponding to all target response users in the area where the regional response amount reduction requirement exists are smaller than the load reduction response amount.

[0030] As a preferred solution, the load reduction adjustment amount corresponding to each target response user is determined according to the current total load reduction demand, the current user adjustment factor and the regional adjustment factor of each target response user, specifically including:

[0031] Determine a comprehensive adjustment factor for each of the target response users according to the product of the current user adjustment factor and the regional adjustment factor of each of the target response users;

[0032] Determining a current total adjustment factor according to the comprehensive adjustment factor of each target response user;

[0033] Determining an adjustment ratio for each of the target responding users according to the total adjustment factor and the comprehensive adjustment factor of each of the target responding users;

[0034] The load reduction adjustment amount corresponding to each target response user is determined according to the current total load reduction demand and the adjustment ratio of each target response user.

[0035] As a preferred solution, after instructing the target response user to perform demand response according to the corresponding load reduction response amount, the method further includes:

[0036] Obtaining a baseline load curve and an actual load curve of each target response user in a demand response time period;

[0037] Determining an actual load reduction amount of each target response user in the demand response time period according to the baseline load curve and the actual load curve;

[0038] When it is detected that the actual load reduction amount of any target response user is less than the load reduction response amount, a reminder message is generated and sent to the any target response user.

[0039] As a preferred solution, after screening out a plurality of target response users whose electricity usage attributes meet the electricity usage attribute screening priority ranking from a plurality of the grid users, the method further includes:

[0040] The frequency of waiting for response of each target response user screened out at this time is reset to 0, and the frequency of waiting for response of each power grid user not screened out at this time is increased by 1.

[0041] A second aspect of an embodiment of the present invention provides a power grid demand response system, including:

[0042] The power consumption attribute acquisition module is used to obtain a number of power consumption attributes corresponding to each power grid user;

[0043] A target response user screening module is used to screen out a number of target response users whose power consumption attributes meet the power consumption attribute screening priority ranking from a number of power grid users based on a preset power consumption attribute screening priority ranking;

[0044] The demand response indication module is used to determine the load reduction response amount corresponding to each target response user according to the current total load reduction demand, and to instruct the target response user to respond to the demand according to the corresponding load reduction response amount.

[0045] Compared with the prior art, the beneficial effect of the embodiments of the present invention is that the priority sorting based on electricity consumption attributes can flexibly and automatically screen the target response users, which is efficient and is not limited to considering only the screening factor of transformer operating capacity. It can effectively reduce the proportion of power grid users with larger transformer operating capacity among the target response users, while ensuring the reliable implementation of power grid demand response. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1 is a flow chart of a method for responding to power grid demand in an embodiment of the present invention;

[0047] Figure 2 Schematic diagram of the structure of the power grid demand response system in an embodiment of the present invention. DETAILED DESCRIPTION

[0048] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0049] See also Figure 1 According to a first aspect of an embodiment of the present invention, a method for responding to power grid demand is provided, comprising the following steps S1 to S3:

[0050] Step S1, obtaining a number of electricity usage attributes corresponding to each grid user;

[0051] Step S2, based on the preset power usage attribute screening priority ranking, screening out a plurality of target response users whose power usage attributes meet the power usage attribute screening priority ranking from a plurality of the power grid users;

[0052] Step S3, determining the load reduction response amount corresponding to each of the target response users according to the current total load reduction demand, and instructing the target response users to perform demand response according to the corresponding load reduction response amount.

[0053] It is worth noting that the prior art usually only selects grid users with larger transformer operating capacity for demand response to quickly meet the needs of load management. However, grid users with larger transformer operating capacity usually have greater production benefits. If such users are frequently selected for demand response, the daily production operations of such users will be seriously affected. For example, the products of some large smelters need to maintain a certain temperature during the production process. If these smelters are frequently power-restricted, a large number of semi-finished products will appear, and the frequent start and stop of production equipment will also seriously damage the service life of production equipment. Therefore, this embodiment implements the screening of target response users by considering multiple power attributes of grid users and dynamically adjustable power attribute screening priority sorting. The considered power attributes can be flexibly adjusted based on actual needs, so that it is not limited to only considering the transformer operating capacity of grid users, and effectively reducing the proportion of grid users with larger transformer operating capacity among target response users. In addition, since the number of grid users with smaller transformer operating capacity is huge and the production pressure of such grid users is usually small, more such grid users are used to replace grid users with larger transformer operating capacity for demand response, so that the load reduction response amount allocated to each target response user is less, which significantly reduces the impact on the daily production operations of grid users. In addition, since there are a large number of grid users with smaller transformer operating capacity, the probability of each grid user being screened in this embodiment is lower than that of only selecting grid users with larger transformer operating capacity. This can avoid the grid users' daily production operations being affected by frequent demand response, while also ensuring the reliable implementation of grid demand response.

[0054] Furthermore, when screening the target response users, it is necessary to screen and prioritize them based on the currently preset electricity usage attributes. It can be understood that the electricity usage attribute screening priority ranking can be flexibly adjusted based on different demand response scenarios. This embodiment does not limit the screening of power grid users with larger transformer operating capacity, but aims to reduce the proportion of power grid users with larger transformer operating capacity among target response users. For example, if the current power grid power restriction demand is more urgent, the priority of the transformer operating capacity can be set to the highest. At this time, the proportion of power grid users with larger transformer operating capacity among target response users is larger, ensuring that the power restriction response is completed quickly; if the priority of the transformer operating capacity is set to a lower level, the proportion of power grid users with larger transformer operating capacity among target response users is smaller. More power grid users with smaller transformer operating capacity are used to replace power grid users with larger transformer operating capacity for demand response, so that the load reduction response amount allocated to each target response user is smaller, reducing the demand response pressure of the target response user, and ensuring the reliable implementation of the power grid demand response.

[0055] Furthermore, this embodiment determines the load reduction response amount corresponding to each target response user based on the current total load reduction demand to ensure the rationality of the load reduction response amount allocation, and instructs each target response user to respond to the load according to the corresponding load reduction response amount. For example, each target response user is instructed to adjust the operating status of its power equipment during the demand response time period to reduce the power load of the power equipment during the demand response time period to meet the allocated load reduction response amount.

[0056] In one of the preferred embodiments, the electricity consumption attributes of each of the above-mentioned power grid users are automatically extracted from the power grid database through an RPA (Robotic Process Automation) tool.

[0057] The grid demand response method provided in the embodiment of the present invention can flexibly and automatically screen target response users based on the priority sorting of electricity consumption attributes. It is highly efficient and is not limited to considering only the screening factor of transformer operating capacity. It can effectively reduce the proportion of grid users with larger transformer operating capacity among target response users, while ensuring the reliable implementation of grid demand response.

[0058] As a preferred solution, the screening priority ranking based on the preset power consumption attribute is to screen out a plurality of target response users whose power consumption attributes meet the power consumption attribute screening priority ranking from a plurality of power grid users, specifically including:

[0059] According to the maximum value and the minimum value of each of the power usage attributes, normalize each of the power usage attributes corresponding to each of the power grid users to obtain an index value corresponding to each of the power usage attributes;

[0060] Based on the power usage attribute screening priority sorting, a plurality of the indicator values ​​corresponding to each of the power grid users are sorted by cardinality to obtain a user sorting list that meets the power usage attribute screening priority sorting;

[0061] According to the preset number of response users to be screened, and in accordance with the sorting order of each of the power grid users in the user sorting list, a number of the target response users are screened out from the user sorting list;

[0062] Among them, the electricity consumption attributes include user level, per-mu benefit, mounted line load, electricity consumption credit score, response frequency and transformer operating capacity.

[0063] Specifically, in order to ensure the rationality of the target response user screening, this embodiment considers six electricity consumption attributes, including user level, per-mu benefit, mounted line load, electricity consumption credit score, response frequency and transformer operating capacity. It is worth mentioning that the user level is the level that the power grid system divides each power grid user. For example, generally speaking, the first-level user is any user whose sudden power outage will cause personal injury or damage to important system equipment, causing major losses to the enterprise and the country. The second-level user is any user whose sudden power outage will cause a large amount of waste, a significant drop in output or production suspension, causing greater economic losses. The third-level user is the remaining power grid users except the first-level and second-level users. That is, the higher the user level, the more important such users are. Therefore, the higher the user level of the power grid user, the lower the ranking when screening the target users to ensure the stability of the power grid operation; the per-mu benefit is a statistic of the power grid system for each power grid user. Generally speaking, the higher the per-mu benefit of the power grid user means that its energy consumption is lower and the output value is higher, while the lower the per-mu benefit of the power grid user means that its energy consumption is higher and the output value is lower. Therefore, when screening the target users, the power grid users with lower per-mu benefits are prioritized to ensure the low-carbon nature of the power grid demand response; the mounted line load is the load of the line mounted by each power grid user, so When screening target users, priority is given to grid users with higher line loads to improve the safety of grid operation; the electricity consumption credit score is the score of the grid system for the electricity consumption behavior of each grid user. For example, if some grid users have illegal electricity consumption behavior, the electricity consumption credit score of such grid users will be lower. When screening target users, priority is given to grid users with lower electricity consumption credit scores, which plays a certain penalty role; the frequency of waiting for response is the frequency of grid users waiting for response. The higher the frequency of waiting for response, the grid user has not been selected in the recent multiple target user screenings. For example, if the frequency of waiting for response is 3, the grid user has not been selected in the recent three target user screenings. Therefore, when screening target users, priority is given to grid users with higher frequency of waiting for response to ensure the fairness of grid demand response; the transformer operating capacity represents the load scale of a grid user. If this electricity consumption attribute is taken as the highest screening priority, grid users with higher transformer operating capacity will be given priority when screening target users to ensure the efficiency of grid demand response.

[0064] It is worth noting that the above-mentioned electricity consumption attributes can be adjusted or deleted according to actual conditions. For example, if the power grid system in a certain area does not have statistics on the per-mu benefit and electricity consumption credit score of each power grid user, the per-mu benefit and electricity consumption credit score may not be considered.

[0065] Furthermore, in order to sort the various grid users according to the currently preset power consumption attribute screening priority sorting, this embodiment first normalizes the various power consumption attributes corresponding to each grid user, as shown in the following expression:

[0066] ;

[0067] in, Represents one of the power consumption attribute values ​​of any power grid user; Indicates the power consumption attribute value The corresponding indicator value; Indicates that among all power grid users, the power consumption attribute value The corresponding minimum value; Indicates that among all power grid users, the power consumption attribute value The corresponding maximum value.

[0068] After the above normalization process, the index values ​​corresponding to all power consumption attributes are integers in the range of 0 to 9. Further, based on the currently preset power consumption attribute screening priority sorting, each index value corresponding to each power grid user is sorted by cardinality. For example, assuming that the frequency of pending response is the highest priority in the current power consumption attribute screening priority sorting, the higher the index value corresponding to the frequency of pending response of the power grid user, the higher its ranking, and finally a user ranking list that meets the current power consumption attribute screening priority sorting is obtained.

[0069] Further, assuming that the number of responding users currently required to be screened is 100, the top 100 grid users can be screened from the obtained user ranking list as target responding users.

[0070] As a preferred solution, the priority sorting based on the power consumption attribute screening is performed on the plurality of index values ​​corresponding to each of the power grid users in cardinality sorting to obtain a user sorting list that meets the priority sorting of the power consumption attribute screening, specifically including:

[0071] Based on the power consumption attribute screening priority sorting, a plurality of the index values ​​corresponding to each of the power grid users are combined into a multi-digit index number;

[0072] Performing radix sorting on each index value in each of the multi-digit index numbers from the lowest digit to the highest digit, and determining sorting results of a plurality of the multi-digit index numbers;

[0073] According to the sorting results and the grid users corresponding to the multi-digit indicator numbers, a user sorting list that meets the priority sorting of the power consumption attribute screening is obtained.

[0074] Specifically, the priority of electricity consumption attribute screening is sorted, and the higher the screening priority, the higher the number of digits of the index, thus forming a multi-digit index number. For example, if the priority of electricity consumption attribute screening is sorted as follows: mounting line load, user level, per mu benefit, telecommunication credit score, frequency of pending response and transformer operating capacity, and for a certain power grid user, the index values ​​corresponding to its mounting line load, user level, per mu benefit, telecommunication credit score, frequency of pending response and transformer operating capacity are 2, 5, 4, 1, 8 and 9 respectively, then the multi-digit index number corresponding to the power grid user is 254189.

[0075] Furthermore, the index values ​​of each multi-bit index number are sorted from the lowest bit to the highest bit. Specifically, first obtain the number of digits of the maximum value among several multi-bit index numbers. For example, the multi-bit index number 254189 mentioned above has 6 digits. Sort the values ​​​​from the lowest bit to the highest bit, and for each ( The value ranges from 0 to d-1, where d represents the number of digits of the maximum value in the multi-digit index number). The following expression shows a number of bits:

[0076] ;

[0077] in, Represents any multi-bit index number No. digits.

[0078] Furthermore, create a count array of length 10 to record the extracted The count array is initially an array of all 0s. Then, the count arrays of each number are used to determine the final sort position of each number. For example, assume that the count array of number 0 is represented by count[0], the count array of number 1 is represented by count[1], and the count array of number 2 is represented by count[2], where count[0]=2, count[1]=4, and count[2]=5. Since number 0 is the minimum value of the current number, the final sort position of number 0 is count[0], which is 2, indicating that number 0 is finally ranked second. Since number 1 is larger than number 0, the final sort position of number 1 is count[0]+count[1], which is 6, indicating that number 1 is finally ranked sixth, and there are a total of 5 numbers before it that are less than or equal to 1. Similarly, since number 2 is larger than number 0 and number 1, the final sort position of number 2 is count[0]+count[1]+count[2], which is 11, indicating that number 2 is finally ranked eleventh, and there are a total of 10 numbers before it that are less than or equal to 2. After knowing the final sort position of each digit in the digit, it is possible to quickly sort the first digit in each multi-digit index number. Sort by the number of indexes, and then re-sort based on the current sorting result. The sorting of the bit index numbers is performed until the sorting times reaches d times, and then the sorting results of each multi-bit index number can be obtained.

[0079] As a preferred solution, the load reduction response amount corresponding to each target response user is determined according to the current total load reduction demand, specifically including:

[0080] According to the current total load reduction demand and the number of the target response users, the average load reduction response amount corresponding to each of the target response users is determined, and the average load reduction response amount is used as the load reduction response amount corresponding to each of the target response users.

[0081] Specifically, in one of the allocation methods, this embodiment distributes the current total load reduction demand evenly to each target response user according to the number of target response users. When the number of target response users is large, the average load reduction response amount corresponding to each target response user can be ensured to be small through average distribution, so that the demand response difficulty of each target response user will not be too high, thereby ensuring the reliable implementation of power grid demand response.

[0082] As a preferred solution, the load reduction response amount corresponding to each target response user is determined according to the current total load reduction demand, specifically including:

[0083] Determining the load reduction response amount allocation ratio corresponding to each of the target response users according to the transformer operating capacity corresponding to each of the target response users;

[0084] The load reduction response amount corresponding to each of the target response users is determined according to the current total load reduction demand amount and the load reduction response amount allocation ratio.

[0085] Specifically, in another allocation method, this embodiment determines the respective load reduction response amount allocation ratio according to the transformer operating capacity corresponding to each target response user, as shown in the following expression:

[0086] ;

[0087] in, Indicates The load reduction response allocation ratio of each target response user; Indicates The transformer operating capacity corresponding to each target response user; Indicates The transformer operating capacity corresponding to each target response user; Indicates the total number of target responding users.

[0088] Then, the load reduction response amount corresponding to each target response user can be determined according to the product of the current total load reduction demand and the load reduction response amount allocation ratio corresponding to each target response user. This embodiment allocates the load reduction response amount to each target response user according to the load scale of different target response users, which can ensure the rationality of the allocation of the load reduction response amount.

[0089] As a preferred solution, after determining the load reduction response amount corresponding to each of the target response users, the method further includes:

[0090] When receiving a demand for reducing the response amount fed back by any target response user, adjusting the user adjustment factor of the target response user who fed back the demand for reducing the response amount; wherein the initial value of the user adjustment factor of each target response user is 1;

[0091] When a regional response amount reduction demand corresponding to the area where any target response user is located is received, the regional adjustment factors of all target response users in the area where the regional response amount reduction demand exists are adjusted; wherein the initial value of the regional adjustment factor of each target response user is 1;

[0092] Determine the load reduction adjustment amount corresponding to each of the target response users according to the current total load reduction demand, the current user adjustment factor and the regional adjustment factor of each of the target response users;

[0093] According to the load reduction response amount, the load reduction adjustment amount, the first preset weight coefficient corresponding to the load reduction response amount, and the second preset weight coefficient corresponding to the load reduction adjustment amount, the load reduction response adjustment amount corresponding to each of the target response users is obtained, and the target response user is instructed to perform demand response according to the corresponding load reduction response adjustment amount;

[0094] Wherein, the load reduction response adjustment amount corresponding to the target response user that feeds back the response amount reduction demand is less than the load reduction response amount;

[0095] The load reduction response adjustment amounts corresponding to all target response users in the area where the regional response amount reduction requirement exists are smaller than the load reduction response amount.

[0096] It is worth noting that after the load reduction response amount of each target response user is determined based on the above two allocation methods, some target response users may find it difficult to complete the currently allocated load reduction response amount due to the current high production pressure, such as the large number of current production orders, or the areas where some target response users are located request to reduce the load reduction response amount due to construction needs, production needs, etc. In order to cope with these special situations, this embodiment introduces a user adjustment factor and a regional adjustment factor. It can be understood that the initial values ​​of the user adjustment factor and the regional adjustment factor are both 1, indicating that the target response user and the area where he is located do not have the need to reduce the current load reduction response amount. When the target response user and the area where he is located have the need to reduce the current load reduction response amount, the user adjustment factor of the target response user with the need is adjusted, and the regional adjustment factor of all target response users in the area where the need is adjusted.

[0097] In this embodiment, the user adjusts the factor It is expressed as: , the regional adjustment factor is expressed as: ,in, and They represent the adjustment degree of user load reduction response and regional load reduction response respectively. and The initial value of is 1. It is worth noting that this embodiment aims to reduce the load reduction response amount of the target response user who has the need to reduce the current load reduction response amount, while ensuring that the total load reduction response amount meets the current total load reduction demand amount, without clarifying the specific reduction amount of each. Therefore, for the target response user who has the need, it is only necessary to increase the value of the adjustment degree of the user's load reduction response amount. The increased value can be set according to the actual application requirements. For example, the increased value is set to 4, that is, The initial value is adjusted from 1 to 5, or the increased value can be set according to the number of production orders fed back by the target response user. For example, if the number of production orders is in the range of 100 to 200, the increased value is set to 1, if the number of production orders is in the range of 200 to 600, the increased value is set to 3, and if the number of production orders is greater than 600, the increased value is set to 5. This embodiment does not make specific restrictions here. Similarly, for the target response users in the area where there is demand, it is only necessary to increase the value of the adjustment degree of the regional load reduction response amount. The increased value can also be set according to the actual application requirements, which is not specifically limited here in this embodiment.

[0098] Furthermore, since the final load reduction response adjustment amount is obtained by combining the initial load reduction response amount and the load reduction adjustment amount determined based on the user adjustment factor and the regional adjustment factor in proportion, the target response user that adjusts the user adjustment factor or the regional adjustment factor can ensure that its final load reduction response adjustment amount is less than the initial load reduction response amount. The calculation expression of the load reduction response adjustment amount is as follows:

[0099] ;

[0100] in, Indicates The final load reduction response adjustment amount of the target response user; Indicates The target response user's initial load reduction response amount; Indicates The load reduction adjustment amount of the target response user; represents a first preset weight coefficient; represents the second preset weight coefficient. The sum of the first preset weight coefficient and the second preset weight coefficient is 1.

[0101] As a preferred solution, the load reduction adjustment amount corresponding to each target response user is determined according to the current total load reduction demand, the current user adjustment factor and the regional adjustment factor of each target response user, specifically including:

[0102] Determine a comprehensive adjustment factor for each of the target response users according to the product of the current user adjustment factor and the regional adjustment factor of each of the target response users;

[0103] Determining a current total adjustment factor according to the comprehensive adjustment factor of each target response user;

[0104] Determining an adjustment ratio for each of the target responding users according to the total adjustment factor and the comprehensive adjustment factor of each of the target responding users;

[0105] The load reduction adjustment amount corresponding to each target response user is determined according to the current total load reduction demand and the adjustment ratio of each target response user.

[0106] Specifically, this embodiment determines the comprehensive adjustment factor of each target response user and sums up all the comprehensive adjustment factors to determine the current total adjustment factor. Then, based on the ratio between the comprehensive adjustment factor of each target response user and the total adjustment factor, the adjustment ratio of each target response user can be determined. Furthermore, based on the product of the adjustment ratio of each target response user and the current total load reduction demand, the load reduction adjustment amount corresponding to each target response user can be determined.

[0107] For example, assuming that three target response users are currently screened out, and the current total load reduction demand is 300kW, the initial load reduction response amount, user adjustment factor, and regional adjustment factor of each target response user are as follows:

[0108] Target response user 1: The load reduction response amount is 50kW, the user adjustment factor is 1, and the regional adjustment factor is 1;

[0109] Target response user 2: The load reduction response amount is 100kW, the user adjustment factor is 1 / 2, and the regional adjustment factor is 1;

[0110] Target response user 3: The load reduction response amount is 150kW, the user adjustment factor is 1 / 3, and the regional adjustment factor is 1 / 2.

[0111] The comprehensive adjustment factors for each target response user are as follows:

[0112] Target response user 1: the comprehensive adjustment factor is 1;

[0113] Target response user 2: the comprehensive adjustment factor is 1 / 2;

[0114] Target response user 3: The comprehensive adjustment factor is 1 / 6.

[0115] Further, the total adjustment factor is calculated to be 5 / 3, so the adjustment ratio of target response user 1 is 0.6, the adjustment ratio of target response user 2 is 0.3, and the adjustment ratio of target response user 3 is 0.1.

[0116] Assuming that the first preset weight coefficient is 0.7 and the second preset weight coefficient is 0.3, the final load reduction response adjustment amount of target response user 1 is calculated to be 89kW, the final load reduction response adjustment amount of target response user 2 is 97kW, and the final load reduction response adjustment amount of target response user 3 is 114kW. It can be seen that the final load reduction response adjustment amounts of target response user 2 and target response user 3 are both smaller than the initial load reduction response amounts.

[0117] As a preferred solution, after instructing the target response user to perform demand response according to the corresponding load reduction response amount, the method further includes:

[0118] Obtaining a baseline load curve and an actual load curve of each target response user in a demand response time period;

[0119] Determining an actual load reduction amount of each target response user in the demand response time period according to the baseline load curve and the actual load curve;

[0120] When it is detected that the actual load reduction amount of any target response user is less than the load reduction response amount, a reminder message is generated and sent to the any target response user.

[0121] Specifically, the power grid system will monitor the load conditions of each power grid user according to the preset load monitoring interval. Therefore, this embodiment can directly obtain the baseline load curve and actual load curve of each target response user in the demand response time period through the RPA tool. It is worth noting that the baseline load curve reflects the power load conditions of the target response user in the same period without the need for demand response. Therefore, based on the difference between the integral of the baseline load curve in the demand response time period and the integral of the actual load curve in the demand response time period, the actual load reduction of the target response user in the demand response time period can be clarified, thereby being able to monitor and remind each target response user, further ensuring the reliable implementation of power grid demand response.

[0122] In one of the preferred embodiments, based on the actual load reduction amount of each target response user and its corresponding load reduction response amount monitored in each demand response, a demand response report for each power grid user can be automatically generated through the RPA tool, and based on the comparison result of the actual load reduction amount and the load reduction response amount in each demand response, the demand response rate of each power grid user is automatically calculated, which significantly improves the convenience of managing the power grid demand response situation.

[0123] As a preferred solution, after screening out a plurality of target response users whose electricity usage attributes meet the electricity usage attribute screening priority ranking from a plurality of the grid users, the method further includes:

[0124] The frequency of waiting for response of each target response user screened out at this time is reset to 0, and the frequency of waiting for response of each power grid user not screened out at this time is increased by 1.

[0125] Specifically, by resetting the waiting response frequency of each target response user screened out this time to 0, and adding 1 to the waiting response frequency of each power grid user not screened this time, the probability of selection of each target response user screened out this time can be reduced, and the probability of selection of each power grid user not screened this time can be increased in the next screening of target response users, thereby ensuring the fairness of power grid demand response.

[0126] See also Figure 2 A second aspect of an embodiment of the present invention provides a power grid demand response system, including:

[0127] The power consumption attribute acquisition module 101 is used to acquire a number of power consumption attributes corresponding to each power grid user;

[0128] The target response user screening module 102 is used to screen out a number of target response users whose power consumption attributes meet the power consumption attribute screening priority ranking from a number of the power grid users based on a preset power consumption attribute screening priority ranking;

[0129] The demand response indication module 103 is used to determine the load reduction response amount corresponding to each target response user according to the current total load reduction demand amount, and to indicate the target response user to perform demand response according to the corresponding load reduction response amount.

[0130] As a preferred solution, the target response user screening module 102 is used to screen out a number of target response users whose power consumption attributes meet the power consumption attribute screening priority ranking from a number of the grid users based on a preset power consumption attribute screening priority ranking, specifically including:

[0131] According to the maximum value and the minimum value of each of the power usage attributes, normalize each of the power usage attributes corresponding to each of the power grid users to obtain an index value corresponding to each of the power usage attributes;

[0132] Based on the power usage attribute screening priority sorting, a plurality of the indicator values ​​corresponding to each of the power grid users are sorted by cardinality to obtain a user sorting list that meets the power usage attribute screening priority sorting;

[0133] According to the preset number of response users to be screened, and in accordance with the sorting order of each of the power grid users in the user sorting list, a number of the target response users are screened out from the user sorting list;

[0134] Among them, the electricity consumption attributes include user level, per-mu benefit, mounted line load, electricity consumption credit score, response frequency and transformer operating capacity.

[0135] As a preferred solution, the target response user screening module 102 is used to perform cardinality sorting on a number of the indicator values ​​corresponding to each of the grid users based on the power consumption attribute screening priority sorting, and obtain a user sorting list that meets the power consumption attribute screening priority sorting, specifically including:

[0136] Based on the power consumption attribute screening priority sorting, a plurality of the index values ​​corresponding to each of the power grid users are combined into a multi-digit index number;

[0137] Performing radix sorting on each index value in each of the multi-digit index numbers from the lowest digit to the highest digit, and determining sorting results of a plurality of the multi-digit index numbers;

[0138] According to the sorting results and the grid users corresponding to the multi-digit indicator numbers, a user sorting list that meets the priority sorting of the power consumption attribute screening is obtained.

[0139] As a preferred solution, the demand response indication module 103 is used to determine the load reduction response amount corresponding to each target response user according to the current total load reduction demand, specifically including:

[0140] According to the current total load reduction demand and the number of the target response users, the average load reduction response amount corresponding to each of the target response users is determined, and the average load reduction response amount is used as the load reduction response amount corresponding to each of the target response users.

[0141] As a preferred solution, the demand response indication module 103 is used to determine the load reduction response amount corresponding to each target response user according to the current total load reduction demand, specifically including:

[0142] Determining the load reduction response amount allocation ratio corresponding to each of the target response users according to the transformer operating capacity corresponding to each of the target response users;

[0143] The load reduction response amount corresponding to each of the target response users is determined according to the current total load reduction demand amount and the load reduction response amount allocation ratio.

[0144] As a preferred solution, after determining the load reduction response amount corresponding to each target response user, the demand response indication module 103 is further used to:

[0145] When receiving a demand for reducing the response amount fed back by any target response user, adjusting the user adjustment factor of the target response user who fed back the demand for reducing the response amount; wherein the initial value of the user adjustment factor of each target response user is 1;

[0146] When a regional response amount reduction demand corresponding to the area where any target response user is located is received, the regional adjustment factors of all target response users in the area where the regional response amount reduction demand exists are adjusted; wherein the initial value of the regional adjustment factor of each target response user is 1;

[0147] Determine the load reduction adjustment amount corresponding to each of the target response users according to the current total load reduction demand, the current user adjustment factor and the regional adjustment factor of each of the target response users;

[0148] According to the load reduction response amount, the load reduction adjustment amount, the first preset weight coefficient corresponding to the load reduction response amount, and the second preset weight coefficient corresponding to the load reduction adjustment amount, the load reduction response adjustment amount corresponding to each of the target response users is obtained, and the target response user is instructed to perform demand response according to the corresponding load reduction response adjustment amount;

[0149] Wherein, the load reduction response adjustment amount corresponding to the target response user that feeds back the response amount reduction demand is less than the load reduction response amount;

[0150] The load reduction response adjustment amounts corresponding to all target response users in the area where the regional response amount reduction requirement exists are smaller than the load reduction response amount.

[0151] As a preferred solution, the demand response indication module 103 is used to determine the load reduction adjustment amount corresponding to each target response user according to the current total load reduction demand, the current user adjustment factor and the regional adjustment factor of each target response user, specifically including:

[0152] Determine a comprehensive adjustment factor for each of the target response users according to the product of the current user adjustment factor and the regional adjustment factor of each of the target response users;

[0153] Determining a current total adjustment factor according to the comprehensive adjustment factor of each target response user;

[0154] Determining an adjustment ratio for each of the target responding users according to the total adjustment factor and the comprehensive adjustment factor of each of the target responding users;

[0155] The load reduction adjustment amount corresponding to each target response user is determined according to the current total load reduction demand and the adjustment ratio of each target response user.

[0156] As a preferred solution, the system further includes a demand response monitoring module, which is used to:

[0157] Obtaining a baseline load curve and an actual load curve of each target response user in a demand response time period;

[0158] Determining an actual load reduction amount of each target response user in the demand response time period according to the baseline load curve and the actual load curve;

[0159] When it is detected that the actual load reduction amount of any target response user is less than the load reduction response amount, a reminder message is generated and sent to the any target response user.

[0160] As a preferred solution, after screening out a plurality of target response users whose electricity usage attributes meet the electricity usage attribute screening priority ranking from a plurality of the grid users, the target response user screening module 102 is further configured to:

[0161] The frequency of waiting for response of each target response user screened out at this time is reset to 0, and the frequency of waiting for response of each power grid user not screened out at this time is increased by 1.

[0162] The power grid demand response system provided by the embodiment of the present invention can flexibly and automatically screen target response users based on the priority sorting of electricity consumption attributes. It is highly efficient and is not limited to considering only the screening factor of transformer operating capacity. It can effectively reduce the proportion of power grid users with larger transformer operating capacity among target response users, while ensuring the reliable implementation of power grid demand response.

[0163] The above is a preferred embodiment of the present invention. It should be pointed out that a person skilled in the art can make several improvements and modifications without departing from the principle of the present invention. These improvements and modifications are also considered to be within the scope of protection of the present invention.

Claims

1. A power grid demand response method, characterized in that: include: Obtain several electricity consumption attributes corresponding to each power grid user; Based on the preset power usage attribute screening priority ranking, screening out a plurality of target response users whose power usage attributes meet the power usage attribute screening priority ranking from the plurality of power grid users; Determine the load reduction response amount corresponding to each of the target response users according to the current total load reduction demand, and instruct the target response users to respond to the demand according to the corresponding load reduction response amount; The method of selecting a plurality of target response users whose electricity usage attributes meet the electricity usage attribute selection priority ranking based on the preset electricity usage attribute selection priority ranking from a plurality of the grid users specifically includes: According to the maximum value and the minimum value of each of the power usage attributes, normalize each of the power usage attributes corresponding to each of the power grid users to obtain an index value corresponding to each of the power usage attributes; Based on the power usage attribute screening priority sorting, a plurality of the indicator values ​​corresponding to each of the power grid users are sorted by cardinality to obtain a user sorting list that meets the power usage attribute screening priority sorting; According to the preset number of response users to be screened, and in accordance with the sorting order of each of the power grid users in the user sorting list, a number of the target response users are screened out from the user sorting list; The electricity consumption attributes include user level, per-mu benefit, mounted line load, electricity consumption credit score, response frequency and transformer operating capacity; The priority sorting based on the power usage attribute screening is performed on the plurality of indicator values ​​corresponding to each of the power grid users in cardinality sorting to obtain a user sorting list that meets the priority sorting of the power usage attribute screening, specifically including: Based on the power consumption attribute screening priority sorting, a plurality of the index values ​​corresponding to each of the power grid users are combined into a multi-digit index number; Performing radix sorting on each index value in each of the multi-digit index numbers from the lowest digit to the highest digit, and determining sorting results of a plurality of the multi-digit index numbers; According to the sorting results and the grid users corresponding to the multi-digit indicator numbers, a user sorting list that meets the priority sorting of the power consumption attribute screening is obtained.

2. The power grid demand response method according to claim 1, characterized in that: Determining the load reduction response amount corresponding to each target response user according to the current total load reduction demand specifically includes: According to the current total load reduction demand and the number of the target response users, the average load reduction response amount corresponding to each of the target response users is determined, and the average load reduction response amount is used as the load reduction response amount corresponding to each of the target response users.

3. The grid demand response method according to claim 1, characterized in that: Determining the load reduction response amount corresponding to each target response user according to the current total load reduction demand specifically includes: Determining the load reduction response amount allocation ratio corresponding to each of the target response users according to the transformer operating capacity corresponding to each of the target response users; The load reduction response amount corresponding to each of the target response users is determined according to the current total load reduction demand amount and the load reduction response amount allocation ratio.

4. The grid demand response method according to claim 2 or 3, characterized in that: After determining the load reduction response amount corresponding to each of the target response users, the method further includes: When receiving a demand for reducing the response amount fed back by any target response user, adjusting the user adjustment factor of the target response user who fed back the demand for reducing the response amount; wherein the initial value of the user adjustment factor of each target response user is 1; When a regional response amount reduction demand corresponding to the area where any target response user is located is received, the regional adjustment factors of all target response users in the area where the regional response amount reduction demand exists are adjusted; wherein the initial value of the regional adjustment factor of each target response user is 1; Determine the load reduction adjustment amount corresponding to each of the target response users according to the current total load reduction demand, the current user adjustment factor and the regional adjustment factor of each of the target response users; According to the load reduction response amount, the load reduction adjustment amount, the first preset weight coefficient corresponding to the load reduction response amount, and the second preset weight coefficient corresponding to the load reduction adjustment amount, the load reduction response adjustment amount corresponding to each of the target response users is obtained, and the target response user is instructed to perform demand response according to the corresponding load reduction response adjustment amount; Wherein, the load reduction response adjustment amount corresponding to the target response user that feeds back the response amount reduction demand is less than the load reduction response amount; The load reduction response adjustment amounts corresponding to all target response users in the area where the regional response amount reduction requirement exists are smaller than the load reduction response amount.

5. The grid demand response method according to claim 4, characterized in that: The step of determining the load reduction adjustment amount corresponding to each target response user according to the current total load reduction demand, the current user adjustment factor and the regional adjustment factor of each target response user specifically includes: Determine a comprehensive adjustment factor for each of the target response users according to the product of the current user adjustment factor and the regional adjustment factor of each of the target response users; Determining a current total adjustment factor according to the comprehensive adjustment factor of each target response user; Determining an adjustment ratio for each of the target responding users according to the total adjustment factor and the comprehensive adjustment factor of each of the target responding users; The load reduction adjustment amount corresponding to each target response user is determined according to the current total load reduction demand and the adjustment ratio of each target response user.

6. The grid demand response method according to claim 1, characterized in that: After instructing the target response user to perform demand response according to the corresponding load reduction response amount, the method further includes: Obtaining a baseline load curve and an actual load curve of each target response user in a demand response time period; Determining an actual load reduction amount of each target response user in the demand response time period according to the baseline load curve and the actual load curve; When it is detected that the actual load reduction amount of any target response user is less than the load reduction response amount, a reminder message is generated and sent to the any target response user.

7. The grid demand response method according to claim 1, characterized in that: After screening out a plurality of target response users whose electricity usage attributes meet the electricity usage attribute screening priority ranking from a plurality of the power grid users, the method further includes: The frequency of waiting for response of each target response user screened out at this time is reset to 0, and the frequency of waiting for response of each power grid user not screened out at this time is increased by 1.

8. A power grid demand response system, characterized in that: include: The power consumption attribute acquisition module is used to obtain a number of power consumption attributes corresponding to each power grid user; A target response user screening module is used to screen out a number of target response users whose power consumption attributes meet the power consumption attribute screening priority ranking from a number of power grid users based on a preset power consumption attribute screening priority ranking; A demand response indication module, used to determine the load reduction response amount corresponding to each of the target response users according to the current total load reduction demand amount, and to indicate the target response users to perform demand response according to the corresponding load reduction response amount; The target response user screening module is used to screen out a number of target response users whose power consumption attributes meet the power consumption attribute screening priority ranking from a number of power grid users based on a preset power consumption attribute screening priority ranking, specifically including: According to the maximum value and the minimum value of each of the power usage attributes, normalize each of the power usage attributes corresponding to each of the power grid users to obtain an index value corresponding to each of the power usage attributes; Based on the power usage attribute screening priority sorting, a plurality of the indicator values ​​corresponding to each of the power grid users are sorted by cardinality to obtain a user sorting list that meets the power usage attribute screening priority sorting; According to the preset number of response users to be screened, and in accordance with the sorting order of each of the power grid users in the user sorting list, a number of the target response users are screened out from the user sorting list; The electricity consumption attributes include user level, per-mu benefit, mounted line load, electricity consumption credit score, response frequency and transformer operating capacity; The target response user screening module is used to perform cardinality sorting on a plurality of indicator values ​​corresponding to each of the power grid users based on the power consumption attribute screening priority sorting, and obtain a user sorting list that meets the power consumption attribute screening priority sorting, specifically including: Based on the power consumption attribute screening priority sorting, a plurality of the index values ​​corresponding to each of the power grid users are combined into a multi-digit index number; Performing radix sorting on each index value in each of the multi-digit index numbers from the lowest digit to the highest digit, and determining sorting results of a plurality of the multi-digit index numbers; According to the sorting results and the grid users corresponding to the multi-digit indicator numbers, a user sorting list that meets the priority sorting of the power consumption attribute screening is obtained.

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