A refined intelligent control system for power load
By designing a refined intelligent control system for electricity load and dynamic optimization management combined with the actual electricity consumption requirements and policies of non-working users, the problem of inability to effectively deal with and analyze and optimize electricity load control in the existing technology is solved, and more efficient electricity load supervision is achieved.
Patent Information
- Application Number
- CN202411950018.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-27
- Publication Date
- 2025-04-01
AI Technical Summary
The existing power load control scheme cannot be processed and analyzed in combination with the actual power consumption requirements of different non-working users, and the power load control scheme is adaptively optimized and adjusted according to the analysis results.
A refined intelligent control system for electricity loads is designed, including a non-industrial user electricity load supervision and processing analysis module, a non-industrial user electricity load supervision implementation analysis module, and a non-industrial user electricity load supervision adjustment and optimization module. These modules are used to analyze the power consumption requirements and policies of different non-working users, dynamic marking classification, differentiated processing analysis and optimization management to ensure the personalization and dynamic nature of the power consumption load control plan.
Through refined power load control, the preliminary processing effect of power load prediction supervision for non-industrial users has been improved, and the dynamic optimization management of personalized power load supervision plans for non-industrial users with different targets has been achieved, which has improved the diversity and comprehensiveness of power load supervision.
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Figure CN119742927A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of power load control, and in particular to a refined intelligent control system for power loads. Background Art
[0002] Power load control ensures the safe and stable operation of the power system and achieves efficient use of energy through reasonable regulation and management of power load. It usually involves monitoring, regulating and even limiting the power consumption of users or equipment when necessary to balance power supply and demand and prevent power shortage or overload.
[0003] When implementing the existing power load control schemes, most of them still stay at the stage of establishing load models and processing and analyzing load forecasting methods. For the special power demand of non-industrial users (such as large supermarkets, hotels, government agencies, etc.), they do not combine the existing actual power demand policies of different non-industrial users for processing and analysis, and adaptively and dynamically optimize and adjust the data processing and analysis of the existing load forecasting schemes according to the analysis results. There is a defect that the power load of different non-industrial users cannot be processed and analyzed in combination with the actual power demand policies, and the power load control schemes of different non-industrial users cannot be adaptively and dynamically optimized and adjusted according to the analysis results. Summary of the invention
[0004] The purpose of the present invention is to provide a refined intelligent control system for power load, which is used to solve the technical problem that the power load of different non-industrial users in the existing scheme cannot be processed and analyzed in combination with the actual power consumption requirement policy, and to adaptively and dynamically optimize and adjust the power load control scheme of different non-industrial users according to the analysis results.
[0005] The purpose of the present invention can be achieved through the following technical solutions:
[0006] A refined intelligent control system for power loads, comprising:
[0007] The non-industrial user power load supervision processing and analysis module is used to process and analyze the existing actual power demand policies of different non-industrial users, and adaptively and dynamically mark and classify the identity types corresponding to different non-industrial users based on the analysis results;
[0008] The non-industrial user power load supervision implementation analysis module is used to perform differential processing and analysis based on the existing actual power demand policies and historical actual power demand policies corresponding to different target non-industrial users, and dynamically optimize the subsequent implementation of the existing individual power load supervision plans for different target non-industrial users based on the analysis results;
[0009] The non-industrial user electricity load supervision adjustment and optimization module is used to supervise and evaluate the electricity load usage status after the implementation of the individual electricity load supervision schemes for optimized management corresponding to different target non-industrial users, and adaptively and dynamically control the subsequent implementation of the individual electricity load supervision schemes corresponding to different target non-industrial users based on the evaluation results.
[0010] Preferably, the existing actual electricity consumption requirement policies corresponding to different non-industrial users in the target area and the historical actual electricity consumption requirement policies corresponding to the previous policy supervision cycle are obtained, and the consistency processing and analysis of the existing actual electricity consumption requirement policies corresponding to different non-industrial users is performed;
[0011] If the current actual electricity consumption requirement policy and the historical actual electricity consumption requirement policy corresponding to the non-industrial user do not exist, the non-industrial user is marked as a regular non-industrial user;
[0012] If at least one of the current actual electricity consumption requirement policy and the historical actual electricity consumption requirement policy corresponding to the non-industrial user exists, the non-industrial user is marked as a target non-industrial user.
[0013] Preferably, when implementing targeted power load type processing and classification for different target non-industrial users;
[0014] Input the existing actual electricity demand policy and / or the historical actual electricity demand policy corresponding to different target non-industrial users into the electricity load identification function for data analysis, and output the policy demand type value ZLi corresponding to different target non-industrial users;
[0015] Among them, the expression of the power load identification function is: Where i is a different target non-industrial user, i=1, 2, 3, ..., n; n is a positive integer; YXi is the current actual electricity demand policy corresponding to different target non-industrial users; YLi is the historical actual electricity demand policy corresponding to different target non-industrial users;
[0016] According to the policy requirement type value of -1, 0 or 1, the target non-worker user is marked as the first non-worker user, the second non-worker user or the third non-worker user.
[0017] Preferably, when dynamically optimizing the standard supervision parameters of the corresponding individual power load supervision scheme according to the first non-industrial user tag corresponding to the target non-industrial user, keyword recognition and extraction combination are performed on the existing actual power requirement policy and the historical actual power requirement policy corresponding to the first non-industrial user tag, to obtain the existing policy key processing sequence corresponding to the existing actual power requirement policy and the historical policy key processing sequence corresponding to the historical actual power requirement policy;
[0018] And, performing data analysis on the existing policy key processing sequence and the historical policy key processing sequence corresponding to the first non-industrial user through a policy change identification function, and outputting a policy change difference value BC corresponding to the first non-industrial user;
[0019] The policy change difference value contains a numeric value of 0 or 1.
[0020] Preferably, the expression of the policy change identification function is Where XX and LX are the existing policy key processing sequence and the historical policy key processing sequence corresponding to the first non-industrial user, respectively.
[0021] Preferably, the mark of the first non-work user is updated to a regular non-work user according to the policy change difference value of 0;
[0022] And, according to the policy change difference value of 1, the standard supervision parameters of the first non-industrial user corresponding to the existing individual power load supervision plan are optimized according to the existing actual power demand policy;
[0023] When dynamically optimizing the standard supervision parameters of the corresponding individual electricity load supervision plan according to the second non-industrial user mark corresponding to the target non-industrial user, the individual electricity load supervision plan corresponding to the second non-industrial user is optimized according to the existing actual electricity consumption requirement policy.
[0024] Preferably, during the preset basic supervision period, when periodically analyzing the effect of the individual power load supervision scheme after the optimized management of the first non-industrial users and the second non-industrial users, the first power loads corresponding to all the first non-industrial users and the second power loads corresponding to all the second non-industrial users in the target area are obtained, and the formula Calculate and obtain the power load control validity JXk corresponding to different non-industrial users in the basic supervision cycle; where k=1, 2, respectively, are the first non-industrial user and the second non-industrial user; JXk is JX1, JX2, respectively, which are the first power load control validity and the second power load control validity corresponding to the first non-industrial user and the second non-industrial user in the basic supervision cycle; FJk is FJ1, FJ2, respectively, which are the first power load and the second power load corresponding to the first non-industrial user and the second non-industrial user in the basic supervision cycle; FJ0k is FJ01, FJ02, respectively, which are the first standard power load and the second standard power load corresponding to the first non-industrial user and the second non-industrial user in the basic supervision cycle;
[0025] If the power load control validity is less than or equal to 0, a power load control effective instruction is generated, and a basic supervision cycle supervision analysis is subsequently performed on the effect of the implementation of the individual power load supervision plan after the optimized management of the first non-industrial user and / or the second non-industrial user.
[0026] Preferably, if the power load control validity is greater than 0, an abnormal power load control instruction is generated, and the abnormal effect of the implementation of the individual power load supervision plan after optimized management corresponding to the first non-industrial user and / or the second non-industrial user is periodically verified and analyzed according to the verification and supervision cycle, and the first verified power load corresponding to all first non-industrial users and / or the second verified power load corresponding to all second non-industrial users in the target area are obtained, and the power load verification validity JXHk corresponding to the first non-industrial user and / or the second non-industrial user is obtained by formula calculation.
[0027] Preferably, the calculation formula corresponding to the power load verification validity JXHk corresponding to the first non-industrial user and / or the second non-industrial user is: In the formula, JXHk is JXH1 and JXH2, which are the first electricity load verification validity corresponding to the first non-industrial user and the second electricity load verification validity corresponding to the second non-industrial user respectively; FHk is FH1 and FH2, which are the first verification electricity load and the second verification electricity load corresponding to the first non-industrial user and the second non-industrial user respectively during the verification and supervision period; FH0k is FH01 and FH02, which are the first standard verification electricity load and the second standard verification electricity load corresponding to the first non-industrial user and the second non-industrial user respectively during the verification and supervision period.
[0028] Preferably, if the power load verification validity is 0, then a supervision analysis of the supervision cycle is subsequently performed on the effect of the implementation of the individual power load supervision plan after the optimized management corresponding to the first non-industrial user and / or the second non-industrial user;
[0029] If the power load verification validity is 1, the subsequent implementation of the individual power load supervision plan after the optimized management corresponding to the first non-industrial user and / or the second non-industrial user is dynamically controlled.
[0030] Compared with the existing solutions, the present invention achieves the following beneficial effects:
[0031] The present invention processes and analyzes the actual electricity demand policies in different periods before implementing the electricity load forecasting and supervision plan for different non-industrial users in the target area, and dynamically marks and classifies the identity types of different non-industrial users according to the analysis results. This can provide reliable data support for the subsequent optimization management of the application electricity load forecasting and supervision plan for different non-industrial users, and improve the early supervision and processing effect of the application electricity load forecasting and supervision plan for different non-industrial users.
[0032] The present invention further performs differential processing and analysis on the existing actual electricity demand policies and historical actual electricity demand policies corresponding to different target non-industrial users classified in the preliminary processing, and dynamically optimizes and manages the subsequent implementation of existing individual electricity load supervision plans for different target non-industrial users based on the analysis results, thereby achieving targeted optimization management of individual electricity load supervision plans for different target non-industrial users, and improving the active supervision processing effects in different aspects before the implementation of individual electricity load supervision plans for different target non-industrial users and the subsequent implementation effects.
[0033] The present invention monitors and evaluates the power load usage status after the implementation of the individual power load supervision schemes for optimized management corresponding to different target non-industrial users, thereby realizing periodic supervision and processing of the power loads of different non-industrial users on the basis of preliminary processing and analysis data, and adaptively and dynamically controls the subsequent implementation of the individual power load supervision schemes corresponding to different target non-industrial users according to the evaluation results, realizes refined processing and analysis of the power loads of different non-industrial users in combination with actual power consumption requirements and policies, and adaptively and dynamically optimizes and adjusts the power load control schemes of non-industrial users according to the analysis results, thereby improving the diversity and comprehensiveness of power load supervision and control. BRIEF DESCRIPTION OF THE DRAWINGS
[0034] The present invention will be further described below in conjunction with the accompanying drawings;
[0035] Figure 1 This is a module block diagram of a refined intelligent control system for power loads of the present invention;
[0036] Figure 2 A flowchart of the operation steps of a refined intelligent control system for power loads according to the present invention;
[0037] Figure 3 It is a flowchart of the steps of performing data analysis on policy change difference values in the present invention. DETAILED DESCRIPTION
[0038] 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.
[0039] like Figure 1 to Figure 2 As shown, the present invention is a refined intelligent control system for power load, including a non-industrial user power load supervision processing and analysis module, a non-industrial user power load supervision implementation analysis module and a non-industrial user power load supervision adjustment and optimization module;
[0040] The non-industrial user power load supervision processing and analysis module is used to process and analyze the existing actual power demand policies of different non-industrial users, and adaptively and dynamically mark and classify the identity types corresponding to different non-industrial users according to the analysis results; the specific steps include:
[0041] Obtain the existing actual electricity consumption requirement policies corresponding to different non-industrial users in the target area and the historical actual electricity consumption requirement policies corresponding to the previous policy supervision cycle, and perform consistency processing and analysis on the existing actual electricity consumption requirement policies corresponding to different non-industrial users;
[0042] Among them, the target area can be customized according to the actual application requirements of the actual application scenario, or it can be determined according to the existing administrative areas;
[0043] In addition, different non-industrial users can specifically be large supermarkets, hotels, and government agencies;
[0044] The existing actual electricity consumption requirement policy specifically sets different electricity consumption requirements for different non-industrial users in the target area, such as operating temperature limits for air conditioners, usage limits for lighting in different locations, or targeted electricity load limits based on the historical electricity consumption of different non-industrial users and statistical electricity-consuming equipment;
[0045] The last policy supervision cycle can be specifically one year;
[0046] If the current actual electricity consumption requirement policy and the historical actual electricity consumption requirement policy corresponding to the non-industrial user do not exist, the non-industrial user is marked as a regular non-industrial user;
[0047] It is understandable that the implementation of the existing actual electricity consumption requirement policy will affect the electricity usage habits of the corresponding non-industrial users, and thus affect the corresponding actual electricity load and predicted electricity load. Therefore, the existing electricity load forecasting and supervision scheme can be implemented for conventional non-industrial users;
[0048] If at least one of the current actual electricity consumption requirement policy and the historical actual electricity consumption requirement policy corresponding to the non-industrial user exists, the non-industrial user is marked as a target non-industrial user;
[0049] When implementing targeted power load type processing and classification for different target non-industrial users;
[0050] Input the existing actual electricity demand policy and / or the historical actual electricity demand policy corresponding to different target non-industrial users into the electricity load identification function for data analysis, and output the policy demand type value ZLi corresponding to different target non-industrial users;
[0051] Among them, the expression of the power load identification function is: Where i is a different target non-industrial user, i=1, 2, 3, ..., n; n is a positive integer; YXi is the current actual electricity demand policy corresponding to different target non-industrial users; YLi is the historical actual electricity demand policy corresponding to different target non-industrial users;
[0052] The policy requires that the type value contain a numeric value of -1, 0, or 1;
[0053] According to the policy requirement type value of -1, the target non-work user is marked as the first non-work user;
[0054] According to the policy requirement type value of 0, the target non-worker user is marked as a second non-worker user;
[0055] According to the policy requirement type value of 1, the target non-worker user is marked as a third non-worker user;
[0056] It should be noted that, unlike the existing technical solution that directly implements the power load forecasting and supervision scheme for the power loads of different non-industrial users in the target area, the actual power requirement policies corresponding to different non-industrial users in the target area are not processed, analyzed and classified for management, resulting in the actual power requirement policies affecting the actual power loads of different non-industrial users after implementation, thereby affecting the prediction effect and supervision effect of different non-industrial users on the power load forecasting and supervision scheme;
[0057] In an embodiment of the present invention, by processing and analyzing the actual electricity demand policies in different periods before implementing the electricity load forecasting and supervision plan for different non-industrial users in the target area, and dynamically marking and classifying the identity types of different non-industrial users according to the analysis results, reliable data support can be provided for the subsequent optimization management of the application electricity load forecasting and supervision plan for different non-industrial users, thereby improving the early supervision and processing effect of the application electricity load forecasting and supervision plan for different non-industrial users.
[0058] The non-industrial user power load supervision implementation analysis module is used to perform differential processing and analysis based on the existing actual power demand policies and historical actual power demand policies corresponding to different target non-industrial users, and dynamically optimize the subsequent implementation of the existing individual power load supervision plans for different target non-industrial users based on the analysis results; the specific steps include:
[0059] When dynamically optimizing the standard supervision parameters of the corresponding individual power load supervision scheme according to the first non-industrial user tag corresponding to the target non-industrial user, keyword recognition and extraction combination are performed on the existing actual power requirement policy and the historical actual power requirement policy corresponding to the first non-industrial user tag to obtain the existing policy key processing sequence corresponding to the existing actual power requirement policy and the historical policy key processing sequence corresponding to the historical actual power requirement policy;
[0060] Among them, keyword recognition and processing combination are existing conventional technical solutions, and the specific implementation steps are not repeated here;
[0061] In addition, the rules for keyword recognition processing can be performed based on the specific contents of the existing actual power consumption requirement policy and the historical actual power consumption requirement policy;
[0062] For example, if only the power load restriction is applied to different non-industrial users, keyword recognition is only performed on the power load restriction data item;
[0063] If restrictions are imposed on the operating temperature of air conditioners, the use of lighting fixtures at different locations, and the use of other operating equipment, all use restriction keywords and their associated data are identified and processed and combined;
[0064] And, performing data analysis on the existing policy key processing sequence and the historical policy key processing sequence corresponding to the first non-industrial user through a policy change identification function, and outputting a policy change difference value BC corresponding to the first non-industrial user;
[0065] Among them, the expression of the policy change identification function is In the formula, XX and LX are the existing policy key processing sequence and the historical policy key processing sequence corresponding to the first non-industrial user respectively;
[0066] The policy change difference value contains a value of 0 or 1;
[0067] like Figure 3 As shown, the mark of the first non-industrial user is updated to a regular non-industrial user according to the policy change difference value of 0; it can be understood that when the existing actual power requirement policy corresponding to the first non-industrial user is consistent with the historical actual power requirement policy, there is no need to optimize the management of its existing individual power load supervision plan; otherwise, it is necessary to optimize the management of its existing individual power load supervision plan;
[0068] And, according to the policy change difference value with a value of 1, the standard supervision parameters of the first non-industrial user corresponding to the existing individual power load supervision plan are optimized according to the existing actual power requirement policy; the standard supervision parameters are optimized, and specifically, the historical power load data of different power load items in the existing individual power load supervision plan can be corrected and optimized. The specific correction and optimization steps can be implemented according to the existing parameter optimization plan, which will not be repeated here;
[0069] When dynamically optimizing the standard regulatory parameters of the corresponding individual power load regulatory scheme according to the second non-industrial user tag corresponding to the target non-industrial user, the individual power load regulatory scheme corresponding to the second non-industrial user is optimized according to the existing actual power consumption requirement policy.
[0070] In an embodiment of the present invention, by further performing differential processing and analysis on the existing actual electricity demand policies and historical actual electricity demand policies corresponding to different target non-industrial users classified in the preliminary processing, and dynamically optimizing and managing the subsequent implementation of existing individual electricity load supervision plans for different target non-industrial users based on the analysis results, targeted optimization and management of individual electricity load supervision plans for different target non-industrial users is achieved, and the active supervision and processing effects of different aspects before the implementation of individual electricity load supervision plans for different target non-industrial users and the subsequent implementation effects are improved.
[0071] The non-industrial user power load supervision adjustment and optimization module is used to supervise and evaluate the power load usage status after the implementation of the individual power load supervision schemes corresponding to the optimized management of different target non-industrial users, and adaptively dynamically control the subsequent implementation of the individual power load supervision schemes corresponding to different target non-industrial users according to the evaluation results; the specific steps include:
[0072] In the preset basic supervision cycle, the unit of the basic supervision cycle is month, specifically one month, when the effect of the implementation of the individual power load supervision plan after the optimized management of the first non-industrial user and the second non-industrial user is periodically analyzed, the first power load corresponding to all the first non-industrial users in the target area and the second power load corresponding to all the second non-industrial users are obtained, and the formula is used to calculate the first power load corresponding to all the first non-industrial users in the target area. Calculate and obtain the power load control validity JXk corresponding to different non-industrial users in the basic supervision cycle; where k=1, 2, respectively, are the first non-industrial user and the second non-industrial user; JXk is JX1, JX2, respectively, which are the first power load control validity and the second power load control validity corresponding to the first non-industrial user and the second non-industrial user in the basic supervision cycle; FJk is FJ1, FJ2, respectively, which are the first power load and the second power load corresponding to the first non-industrial user and the second non-industrial user in the basic supervision cycle; FJ0k is FJ01, FJ02, respectively, which are the first standard power load and the second standard power load corresponding to the first non-industrial user and the second non-industrial user in the basic supervision cycle, which can be determined according to the requirement data of the first non-industrial user and the second non-industrial user corresponding to the existing actual power requirement policy;
[0073] It should be noted that the power load control validity is used to calculate the power load usage data after the implementation of the individual power load supervision scheme corresponding to the optimized management of different non-industrial users, so as to digitally represent the corresponding power load control effect;
[0074] If the power load control validity is less than or equal to 0, an effective power load control instruction is generated, and a supervision analysis of the basic supervision cycle is subsequently performed on the effect of the implementation of the individual power load supervision plan after the optimized management corresponding to the first non-industrial user and / or the second non-industrial user;
[0075] If the power load control validity is greater than 0, an power load control abnormal instruction is generated, indicating that the power load usage status after the implementation of the individual power load supervision plan for the optimized management of non-industrial users is abnormal, and further verification is required to determine the corresponding abnormality type so that targeted solutions can be implemented later. The abnormal effects of the implementation of the individual power load supervision plan for the first non-industrial user and / or the second non-industrial user after the optimized management are periodically verified and analyzed according to the verification and supervision cycle. The unit of the verification and supervision cycle is also day, which can be 15 days. The first verified power load corresponding to all the first non-industrial users in the target area and / or the second verified power load corresponding to all the second non-industrial users are obtained, and passed The formula is used to calculate and obtain the verification validity JXHk of the power load corresponding to the first non-industrial user and / or the second non-industrial user; wherein JXHk is JXH1 and JXH2, which are respectively the first power load verification validity corresponding to the first non-industrial user and the second power load verification validity corresponding to the second non-industrial user; FHk is FH1 and FH2, which are respectively the first verification power load and the second verification power load corresponding to the first non-industrial user and the second non-industrial user during the verification and supervision period; FH0k is FH01 and FH02, which are respectively the first standard verification power load and the second standard verification power load corresponding to the first non-industrial user and the second non-industrial user during the verification and supervision period, which can be determined according to the requirement data of the first non-industrial user and the second non-industrial user corresponding to the existing actual power requirement policy, or can be determined according to the median value of all the first standard verification power loads corresponding to different non-industrial users in history and the median value of all the second standard verification power loads;
[0076] It should be noted that the power load verification validity is used to perform targeted verification and supervision cycle data calculation on non-industrial users with abnormal power load usage status, so as to digitally represent the corresponding power load verification status;
[0077] If the power load verification validity is 0, a power load verification effective instruction is generated, and a supervision analysis of the supervision cycle is subsequently performed on the effect of the implementation of the individual power load supervision plan after the optimized management corresponding to the first non-industrial user and / or the second non-industrial user;
[0078] It should be noted that, unlike the supervision analysis of the basic supervision cycle for non-industrial users under the effective power load control instruction, the power load verification effective instruction indicates that there is a fluctuation error in the power load of the corresponding non-industrial users, and thus it is necessary to implement a targeted supervision analysis of the verification supervision cycle, which improves the diversity and reliability of the supervision control of different power loads of different non-industrial users;
[0079] If the power load verification validity is 1, an power load verification invalidation instruction is generated, and the subsequent implementation of the individual power load supervision plan after the optimized management corresponding to the first non-industrial user and / or the second non-industrial user is dynamically controlled;
[0080] Among them, dynamic control can be specifically carried out by adopting manual supervision to randomly supervise and process the electricity usage specifications of all first non-industrial users and / or second non-industrial users, or to perform power restriction control on all first non-industrial users and / or second non-industrial users that meet the power restriction requirements.
[0081] In the embodiment of the present invention, by monitoring and evaluating the power load usage status after the implementation of the individual power load supervision schemes for optimized management corresponding to different target non-industrial users, it is achieved that the power loads of different non-industrial users are periodically supervised and processed on the basis of the preliminary processing and analysis data, and the subsequent implementation of the individual power load supervision schemes corresponding to different target non-industrial users is adaptively and dynamically controlled according to the evaluation results, so that the power loads of different non-industrial users are finely processed and analyzed in combination with the actual power demand policies, and the power load control schemes of non-industrial users are adaptively and dynamically optimized and adjusted autonomously according to the analysis results, thereby improving the diversity and comprehensiveness of power load supervision and control.
[0082] In addition, the formulas involved in the above are all dimensionless and numerical calculations. They are a formula that is closest to the actual situation obtained by collecting a large amount of data and simulating it with simulation software.
[0083] In the several embodiments provided by the present invention, it should be understood that the disclosed system can be implemented in other ways. For example, the above-described embodiments of the invention are only illustrative, for example, the division of modules is only a logical function division, and there may be other division methods in actual implementation.
[0084] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical modules, and may be located in one place or distributed on multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
[0085] In addition, each functional module in each embodiment of the present invention may be integrated into one processing module, or each module may exist physically separately, or two or more modules may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of hardware plus software functional modules.
[0086] It is obvious to a person skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the present invention can be implemented in other specific forms without departing from the essential characteristics of the present invention.
[0087] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present invention.
Claims
1. A refined intelligent control system for power loads, characterized in that: include: The non-industrial user power load supervision processing and analysis module is used to process and analyze the existing actual power demand policies of different non-industrial users, and adaptively and dynamically mark and classify the identity types corresponding to different non-industrial users based on the analysis results; The non-industrial user power load supervision implementation analysis module is used to perform differential processing and analysis based on the existing actual power demand policies and historical actual power demand policies corresponding to different target non-industrial users, and dynamically optimize the subsequent implementation of the existing individual power load supervision plans for different target non-industrial users based on the analysis results; The non-industrial user electricity load supervision adjustment and optimization module is used to supervise and evaluate the electricity load usage status after the implementation of the individual electricity load supervision schemes for optimized management corresponding to different target non-industrial users, and adaptively and dynamically control the subsequent implementation of the individual electricity load supervision schemes corresponding to different target non-industrial users based on the evaluation results.
2. According to claim 1, a refined intelligent control system for power loads is characterized in that: Obtain the existing actual electricity consumption requirement policies corresponding to different non-industrial users in the target area and the historical actual electricity consumption requirement policies corresponding to the previous policy supervision cycle, and perform consistency processing and analysis on the existing actual electricity consumption requirement policies corresponding to different non-industrial users; If the current actual electricity consumption requirement policy and the historical actual electricity consumption requirement policy corresponding to the non-industrial user do not exist, the non-industrial user is marked as a regular non-industrial user; If at least one of the current actual electricity consumption requirement policy and the historical actual electricity consumption requirement policy corresponding to the non-industrial user exists, the non-industrial user is marked as a target non-industrial user.
3. According to claim 2, a refined intelligent control system for power loads is characterized in that: When implementing targeted power load type processing and classification for different target non-industrial users; Input the existing actual electricity demand policy and / or the historical actual electricity demand policy corresponding to different target non-industrial users into the electricity load identification function for data analysis, and output the policy demand type value ZLi corresponding to different target non-industrial users; Among them, the expression of the power load identification function is: Where i is a different target non-industrial user, i=1, 2, 3, ..., n; n is a positive integer; YXi is the current actual electricity demand policy corresponding to different target non-industrial users; YLi is the historical actual electricity demand policy corresponding to different target non-industrial users; According to the policy requirement type value of -1, 0 or 1, the target non-worker user is marked as the first non-worker user, the second non-worker user or the third non-worker user.
4. The refined intelligent control system for power load according to claim 3 is characterized in that: When dynamically optimizing the standard supervision parameters of the corresponding individual power load supervision scheme according to the first non-industrial user tag corresponding to the target non-industrial user, keyword recognition and extraction combination are performed on the existing actual power requirement policy and the historical actual power requirement policy corresponding to the first non-industrial user tag to obtain the existing policy key processing sequence corresponding to the existing actual power requirement policy and the historical policy key processing sequence corresponding to the historical actual power requirement policy; And, performing data analysis on the existing policy key processing sequence and the historical policy key processing sequence corresponding to the first non-industrial user through a policy change identification function, and outputting a policy change difference value BC corresponding to the first non-industrial user; The policy change difference value contains a numeric value of 0 or 1.
5. The refined intelligent control system for power load according to claim 4 is characterized in that: The expression of the policy change identification function is: Where XX and LX are the existing policy key processing sequence and the historical policy key processing sequence corresponding to the first non-industrial user, respectively.
6. The refined intelligent control system for power load according to claim 4 is characterized in that: According to the policy change difference value of 0, the mark of the first non-worker user is updated to a regular non-worker user; And, according to the policy change difference value of 1, the standard supervision parameters of the first non-industrial user corresponding to the existing individual power load supervision plan are optimized according to the existing actual power demand policy; When dynamically optimizing the standard supervision parameters of the corresponding individual electricity load supervision plan according to the second non-industrial user mark corresponding to the target non-industrial user, the individual electricity load supervision plan corresponding to the second non-industrial user is optimized according to the existing actual electricity consumption requirement policy.
7. The refined intelligent control system for power load according to claim 6 is characterized in that: During the preset basic supervision cycle, when the effect of the individual power load supervision scheme after the optimized management of the first non-industrial users and the second non-industrial users is implemented, the first power load corresponding to all the first non-industrial users and the second power load corresponding to all the second non-industrial users in the target area are obtained, and the formula is used to calculate the power load of each non-industrial user. Calculate and obtain the power load control validity JXk corresponding to different non-industrial users in the basic supervision cycle; where k = 1, 2, respectively, for the first non-industrial user and the second non-industrial user; JXk is JX1, JX2, respectively, for the first non-industrial user and the second non-industrial user in the basic supervision cycle corresponding to the first power load control validity and the second power load control validity; FJk is FJ1 and FJ2, which are the first power load and the second power load corresponding to the first non-industrial user and the second non-industrial user in the basic supervision cycle respectively; FJ0k is FJ01 and FJ02, which are the first standard power load and the second standard power load corresponding to the first non-industrial user and the second non-industrial user in the basic supervision cycle respectively; If the power load control validity is less than or equal to 0, a power load control effective instruction is generated, and a basic supervision cycle supervision analysis is subsequently performed on the effect of the implementation of the individual power load supervision plan after the optimized management of the first non-industrial user and / or the second non-industrial user.
8. The refined intelligent control system for power load according to claim 7 is characterized in that: If the power load control validity is greater than 0, an abnormal power load control instruction is generated, and the abnormal effect of the implementation of the individual power load supervision plan after optimized management corresponding to the first non-industrial user and / or the second non-industrial user is periodically verified and analyzed according to the verification and supervision cycle, and the first verified power load corresponding to all first non-industrial users in the target area and / or the second verified power load corresponding to all second non-industrial users are obtained, and the power load verification validity JXHk corresponding to the first non-industrial user and / or the second non-industrial user is obtained by formula calculation.
9. The refined intelligent control system for power load according to claim 8 is characterized in that: The calculation formula for the verification validity JXHk of the power load corresponding to the first non-industrial user and / or the second non-industrial user is: In the formula, JXHk is JXH1 and JXH2, which are the first electricity load verification validity corresponding to the first non-industrial user and the second electricity load verification validity corresponding to the second non-industrial user respectively; FHk is FH1 and FH2, which are the first verification electricity load and the second verification electricity load corresponding to the first non-industrial user and the second non-industrial user respectively during the verification and supervision period; FH0k is FH01 and FH02, which are the first standard verification electricity load and the second standard verification electricity load corresponding to the first non-industrial user and the second non-industrial user respectively during the verification and supervision period.
10. The refined intelligent control system for power load according to claim 8, characterized in that: If the power load verification validity is 0, then a supervision analysis of the supervision cycle is subsequently performed on the effect of the implementation of the individual power load supervision plan after the optimized management corresponding to the first non-industrial user and / or the second non-industrial user; If the power load verification validity is 1, the subsequent implementation of the individual power load supervision plan after the optimized management corresponding to the first non-industrial user and / or the second non-industrial user is dynamically controlled.
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