CN114884220B - Intelligent power distribution method and system - Google Patents
Intelligent power distribution method and system Download PDFInfo
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- CN114884220B CN114884220B CN202210694374.2A CN202210694374A CN114884220B CN 114884220 B CN114884220 B CN 114884220B CN 202210694374 A CN202210694374 A CN 202210694374A CN 114884220 B CN114884220 B CN 114884220B
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00002—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by monitoring
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
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Abstract
The invention discloses an intelligent power distribution method and system, and relates to the field of power distribution management, wherein the method comprises the following steps: obtaining feedback information of the target user; obtaining the electricity utilization information of the target user; performing adjustable equipment identification according to the branch current information acquisition result and the feedback information to obtain an identification result; performing use time interval optimization analysis on the adjustable equipment according to the identification result and the electricity utilization information to obtain an optimized adjustment time interval; evaluating the influence of the power consumption of the user according to the power consumption information, and generating a power consumption adjustment coefficient according to an influence evaluation result; and carrying out power utilization management on the target user according to the optimized adjustment time interval and the power utilization adjustment coefficient. The accuracy and precision of power distribution management are improved, and the effect and quality of power distribution management are improved; meanwhile, the intelligence and the scientificity of power distribution management are improved, and the technical effect of providing better power distribution management service for users is further achieved.
Description
Technical Field
The invention relates to the field of power distribution management, in particular to an intelligent power distribution method and system.
Background
With the development of science and technology and the improvement of the living standard of people, the demand of various electric equipment on electric energy continuously rises, and a higher-level requirement is provided for power distribution management. When power failure or power limitation is light, inconvenience is brought to people's lives, and some equipment needing uninterrupted power supply cannot be worn out. The backward manual power distribution mode is not suitable for the requirement of modern development of power distribution management, and the power supply quality can be improved to the maximum extent only by realizing the intellectualization of power distribution, so that the daily life and work of people are guaranteed, and the requirement of social production is met.
In the prior art, the accuracy of power distribution management is not enough, and the technical problem of poor power distribution management effect is caused.
Disclosure of Invention
The application provides an intelligent power distribution method and system, and solves the technical problem that in the prior art, accuracy of power distribution management is not enough, and then the power distribution management effect is not good.
In view of the above problems, the present application provides an intelligent power distribution method and system.
In a first aspect, the present application provides an intelligent power distribution method, where the method is applied to an intelligent power distribution system, and the method includes: constructing a user electric appliance information acquisition table, and sending the user electric appliance information acquisition table to a target user to obtain feedback information of the target user; carrying out periodic power utilization information acquisition on the target user through the intelligent ammeter to obtain power utilization information of the target user; acquiring branch current information through the branch current acquisition device, and identifying adjustable equipment according to a branch current information acquisition result and the feedback information to obtain an identification result; performing use time interval optimization analysis on the adjustable equipment according to the identification result and the electricity utilization information to obtain an optimized adjustment time interval; evaluating the influence of the power consumption of the user according to the power consumption information, and generating a power consumption adjustment coefficient according to an influence evaluation result; and carrying out power utilization management on the target user according to the optimized adjustment time interval and the power utilization adjustment coefficient.
In a second aspect, the present application further provides an intelligent power distribution system, wherein the system includes: the system comprises an electric appliance information acquisition module, a feedback module and a feedback module, wherein the electric appliance information acquisition module is used for constructing a user electric appliance information acquisition table, and sending the user electric appliance information acquisition table to a target user to obtain feedback information of the target user; the power utilization information acquisition module is used for carrying out periodic power utilization information acquisition on the target user through the intelligent ammeter to obtain power utilization information of the target user; the identification module is used for collecting branch current information through the branch current collecting device, and performing adjustable equipment identification according to a branch current information collecting result and the feedback information to obtain an identification result; the optimization module is used for carrying out optimization analysis on the use time interval of the adjustable equipment according to the identification result and the electricity utilization information to obtain an optimization adjustment time interval; the power utilization adjusting module is used for evaluating the influence of power consumption of the user according to the power utilization information and generating a power utilization adjusting coefficient according to an influence evaluation result; and the power utilization management module is used for carrying out power utilization management on the target user according to the optimized adjustment time interval and the power utilization adjustment coefficient.
One or more technical solutions provided in the present application have at least the following technical effects or advantages:
the method comprises the steps that a user electric appliance information acquisition table is sent to a target user, and feedback information of the target user is obtained; carrying out periodic power utilization information acquisition on the target user through the intelligent ammeter to obtain power utilization information of the target user; acquiring branch current information through the branch current acquisition device, and identifying adjustable equipment according to a branch current information acquisition result and the feedback information to obtain an identification result; performing use time interval optimization analysis on the adjustable equipment by combining the electricity utilization information to obtain an optimization adjustment time interval; evaluating the influence of the power consumption of the user according to the power consumption information, and generating a power consumption adjustment coefficient according to an influence evaluation result; and carrying out power utilization management on the target user according to the optimized adjustment time interval and the power utilization adjustment coefficient. The accuracy and precision of power distribution management are improved, and the effect and quality of power distribution management are improved; meanwhile, the intelligence and the scientificity of power distribution management are improved, and the technical effect of providing better power distribution management service for users is further achieved.
Drawings
Fig. 1 is a schematic flow chart of an intelligent power distribution method according to the present application;
fig. 2 is a schematic flow chart illustrating a process of generating an optimized adjustment time interval according to an incentive matching result in an intelligent power distribution method according to the present application;
fig. 3 is a schematic flow chart illustrating the process of sending the feedback price discount information to the target user in the intelligent power distribution method according to the present application;
fig. 4 is a schematic structural diagram of an intelligent power distribution system according to the present application.
Description of reference numerals: the system comprises an electric appliance information acquisition module 11, a power utilization information acquisition module 12, an identification module 13, an optimization module 14, a power utilization adjustment module 15 and a power utilization management module 16.
Detailed Description
The application provides an intelligent power distribution method and system, and solves the technical problem that in the prior art, accuracy of power distribution management is not enough, and therefore the power distribution management effect is not good. The accuracy and precision of power distribution management are improved, and the effect and quality of power distribution management are improved; meanwhile, the intelligence and the scientificity of power distribution management are improved, and the technical effect of providing high-quality power distribution management service for users is further achieved.
Example one
Referring to fig. 1, the present application provides an intelligent power distribution method, where the method is applied to an intelligent power distribution system, the intelligent power distribution system is in communication connection with a branch current collecting device and an intelligent electric meter, and the method specifically includes the following steps:
step S100: constructing a user electric appliance information acquisition table, and sending the user electric appliance information acquisition table to a target user to obtain feedback information of the target user;
step S200: carrying out periodic power utilization information acquisition on the target user through the intelligent ammeter to obtain power utilization information of the target user;
specifically, the user electrical appliance information acquisition table is sent to the target user, and feedback information of the target user is obtained. Further, the intelligent electric meter is used for carrying out periodic power utilization information acquisition on the target user to obtain power utilization information of the target user. The user electric appliance information acquisition table is used for collecting electric appliance information of a target user. The user electrical appliance information acquisition table can be any type of table capable of acquiring user electrical appliance information in the prior art or a combination of the table and the table. For example, the user electrical appliance information collection table may be a user electrical appliance detail table, a household electrical appliance comprehensive information table, or the like. The target user is any user who uses the intelligent power distribution system to carry out intelligent power distribution management. Illustratively, the target user may be any resident of a user in a cell. The feedback information of the target user comprises data information of a user electric appliance information acquisition table filled by the target user. Namely, the feedback information of the target user comprises data information of the target user, such as the type of an electric appliance, the name of the electric appliance, the number of the electric appliances, rated voltage of the electric appliance, rated current of the electric appliance, rated power of the electric appliance and the like. The intelligent electric meter is in communication connection with the intelligent power distribution system and has the functions of carrying out periodic power utilization information acquisition and transmission on target users and the like. The intelligent electric meter can be a novel digital electric meter, a three-phase intelligent electric meter, a single-phase intelligent electric meter and the like. The electricity utilization information of the target user comprises data information such as periodic accumulated electricity consumption and residual electricity acquired by periodic electricity utilization information acquisition of the target user. The periodic power utilization information acquisition refers to short-period power utilization information acquisition, and can be set in a self-adaptive mode according to actual power utilization information acquisition requirements. For example, the periodic power consumption information collection may be power consumption information collection of one week, and in order to make the power consumption information collection more accurate and average, the power consumption information collection may be performed continuously for four weeks and an average value may be obtained, and the average value may be used to represent the power consumption information of the target user. Feedback information of a target user is obtained through a user electric appliance information acquisition table; the intelligent electric meter is used for collecting the periodic electricity utilization information reliably, the electricity utilization information of the target user with high accuracy is obtained, and the technical effect of providing data support for subsequent intelligent power distribution management is achieved.
Step S300: acquiring branch current information through the branch current acquisition device, and identifying adjustable equipment according to a branch current information acquisition result and the feedback information to obtain an identification result;
specifically, the branch current information of the home circuit of the target user is acquired by using the branch current acquisition device to obtain a branch current information acquisition result, and the adjustable equipment is identified by combining the acquired feedback information of the target user to obtain an identification result. The branch current acquisition device is in communication connection with the intelligent power distribution system. The branch current collecting device can be a current collector, a current transformer and the like. The branch current information acquisition result comprises data information such as the magnitude of each branch current of the household circuit of the target user. The identification result comprises data information such as name and type of adjustable equipment in the electric appliance of the target user. The adjustable equipment comprises equipment which can adjust power, such as a washing machine, a water heater, an induction cooker and the like. Illustratively, when the adjustable equipment is identified according to the branch current information acquisition result and the feedback information, the branch current information acquisition result can be compared with the rated current of the electric appliance in the feedback information of the target user, and if the branch current information in the branch current information acquisition result is greatly different from the rated current of the corresponding electric appliance and the electric appliance works normally, the electric appliance can be identified as the adjustable equipment. The branch current information acquisition result is obtained by using the branch current acquisition device, and reliable adjustable equipment identification is carried out by combining the feedback information of the target user, so that the technical effect of laying a foundation for obtaining the optimized adjustment time interval subsequently is achieved.
Step S400: performing use time interval optimization analysis on the adjustable equipment according to the identification result and the electricity utilization information to obtain an optimized adjustment time interval;
further, step S400 of the present application further includes:
step S410: setting an influence evaluation area, carrying out power utilization time period information statistical analysis according to the influence evaluation area, and generating a regional power utilization time period statistical result according to a statistical analysis result;
step S420: acquiring power utilization information of a power supply total area, and performing power utilization peak value analysis according to the power utilization information of the power supply total area to obtain a power utilization peak value analysis result;
step S430: compensating the regional power consumption time period statistical result according to the power consumption peak analysis result to obtain a compensation regional power consumption time period statistical result;
specifically, the power utilization period information is subjected to statistical analysis on the influence evaluation area to obtain a statistical analysis result, and a regional power utilization period statistical result is obtained according to the statistical analysis result. And further, carrying out power utilization peak value analysis on the collected power utilization information of the power supply total area to obtain a power utilization peak value analysis result, and compensating the obtained area power utilization period statistical result according to the power utilization peak value analysis result to obtain a compensation area power utilization period statistical result. Wherein the influence evaluation area can be automatically set and determined by the intelligent power distribution system. The impact evaluation area includes an area having an impact on the intelligent power distribution management of the target user. For example, the influence evaluation area may be a city-level area where the target user is located, and when the city-level area where the target user is located has a power failure, the influence evaluation area has a large influence on the intelligent power distribution management of the target user. And the statistical analysis result comprises power utilization time period information corresponding to the influence evaluation area. And the statistical result of the regional power consumption time interval is the statistical analysis result. The power consumption information of the total power supply area comprises data information such as power consumption, power consumption time and the like corresponding to the total power supply area. The total power supply area comprises all power supply areas supplied with power by the power supply station corresponding to the target user. The power utilization peak value analysis result comprises data information such as the size of a power utilization peak value, the time of the power utilization peak value, an area corresponding to the power utilization peak value and the like in the power utilization information of the power supply total area. And the statistical result of the compensation region electricity utilization time interval comprises an electricity utilization peak value analysis result and a region electricity utilization time interval statistical result. The technical effects of obtaining a more credible electricity consumption time period statistical result of the compensation area and further improving the accuracy of the subsequently obtained optimization adjustment time period interval are achieved.
Step S440: and performing use time interval optimization analysis on the adjustable equipment according to the compensation region electricity consumption time interval statistical result to obtain the optimization adjustment time interval.
Further, as shown in fig. 2, step S440 of the present application further includes:
step S441: carrying out time interval grading on the statistical result of the electricity consumption time interval of the compensation area to obtain a time interval grading result;
step S442: constructing a graded reward coefficient set;
step S443: and carrying out reward matching on the time interval grading result according to the grading reward coefficient set, and generating the optimized adjustment time interval according to a reward matching result.
Specifically, the time interval grading result is rewarded and matched by the grading reward coefficient set, a reward matching result is obtained, and an optimization adjustment time interval is generated according to the reward matching result. The period grading result comprises data information obtained after the period grading is carried out on the compensation region electricity utilization period statistical result by the intelligent power distribution system. Namely, the time interval grading result comprises a compensation region electricity utilization time interval statistical result and a time interval grade corresponding to the compensation region electricity utilization time interval statistical result. The set of graded reward coefficients includes a plurality of graded reward coefficients. The plurality of grading reward coefficients can be used for representing the electricity price information corresponding to the grading result of each time period. And the reward matching result is the grading reward coefficient corresponding to the time-period grading result. And the optimized adjustment time interval represents the data information of the optimized adjustment use time interval of the adjustable equipment after the use time interval of the adjustable equipment is adjusted on the time interval grading result according to the reward matching result. Illustratively, the time period rating results include peak time period rating results. The reward matching result of the power consumption peak period grading result shows that the grading reward coefficient corresponding to the power consumption peak period grading result is larger, namely the power consumption price of the power consumption peak period grading result is higher. The obtained optimized adjustment time interval adjusts the use time interval of the adjustable equipment corresponding to the grading result of the electricity utilization peak time interval to other time intervals, and the adjustable equipment is prevented from being used as much as possible in the grading result of the electricity utilization peak time interval. The technical effects that the optimal adjustment time interval with higher accuracy is obtained, and the accuracy of power utilization management of the target user is improved are achieved.
Step S500: evaluating the influence of the power consumption of the user according to the power consumption information, and generating a power consumption adjustment coefficient according to an influence evaluation result;
further, step S500 of the present application further includes:
step S510: calculating the average value of the power consumption of the user according to the statistical result of the regional power consumption time interval, and adjusting the preset proportion according to the calculation result to obtain a power consumption constraint threshold;
step S520: acquiring user quantity information of the target user, and generating an influence adjustment coefficient according to the user quantity information;
step S530: and evaluating the influence of the power consumption of the user according to the power consumption information, the influence adjustment coefficient and the power consumption constraint threshold, and obtaining the power consumption adjustment coefficient based on an evaluation result.
Specifically, based on the obtained statistical result of the regional power consumption period, the average value of the power consumption of the user is calculated to obtain a calculation result, and the calculation result is subjected to predetermined proportion adjustment to obtain a power consumption constraint threshold. Further, according to the user number information of the target user, an influence adjustment coefficient is obtained. And then, the intelligent power distribution system evaluates the influence of the power consumption of the user according to the power consumption information, the influence adjustment coefficient and the power consumption constraint threshold value to obtain an evaluation result, and determines the power consumption adjustment coefficient according to the evaluation result. And the calculation result comprises a user power consumption average value corresponding to the regional power consumption period statistical result. The preset proportion is preset and determined after the intelligent power distribution system scientifically analyzes the proportion relation between the historical user power consumption average value and the historical power consumption constraint threshold. The power consumption constraint threshold is data information obtained by adjusting the calculation result in a preset proportion. The user number information of the target user comprises family population number information of the target user. And the influence adjustment coefficient is determined by comprehensively analyzing the user number information of the target user by the intelligent power distribution system. Illustratively, the user number information of the target user indicates that the larger the number of the family population of the target user, the larger the corresponding influence adjustment coefficient. The evaluation result is data information for representing the power consumption degree of the user. The power consumption adjustment coefficient may represent a parameter for adjusting the power consumption of the user. The technical effects of obtaining the power utilization adjustment coefficient and providing data support for subsequent power utilization management are achieved.
Step S600: and carrying out power utilization management on the target user according to the optimized adjustment time interval and the power utilization adjustment coefficient.
Further, step S600 of the present application further includes:
step S610: sending the optimization adjustment time interval to the target user to obtain a selected interval of the target user;
step S620: performing optimized power consumption adjustment evaluation according to the selected interval, and generating a callback coefficient based on an evaluation result;
step S630: and adjusting the electricity price of the selected interval based on the callback coefficient.
Specifically, an optimized power consumption adjustment evaluation result is obtained by performing optimized power consumption adjustment evaluation on a selected interval of a target user, and a callback coefficient is determined according to the optimized power consumption adjustment evaluation result. And adjusting the electricity price of the selected interval of the target user by utilizing the callback coefficient. The selected interval of the target user is data information obtained by the target user through autonomous selection of the optimization adjustment time interval. The evaluation result here is the optimized power consumption adjustment evaluation result. The optimized power consumption adjustment evaluation result comprises specific power consumption time, power consumption price and other data information corresponding to the selected interval of the target user. The callback coefficient is parameter information for adjusting the electricity price according to the optimized electricity consumption adjustment evaluation result. The technical effects of more accurate power utilization price adjustment according to the callback coefficient and improvement of the power utilization management quality of the target user are achieved.
Further, step S610 of the present application further includes:
step S611: monitoring the use current of the selected interval according to the branch current collecting device to obtain a use current monitoring result;
step S612: performing matching analysis according to the use current monitoring result and the selected interval of the target user to obtain a matching analysis result;
step S613: and carrying out electricity integrity identification on the target user according to the matching analysis result.
Specifically, the current utilization monitoring is carried out on a selected interval of a target user through the branch current collecting device, a current utilization monitoring result is obtained, the current utilization monitoring result is matched and analyzed with the selected interval of the target user, a matching analysis result is obtained, and electricity utilization integrity identification is carried out on the target user based on the matching analysis result. And the using current monitoring result comprises using current size information corresponding to the selected interval of the target user. The matching analysis result is data information for representing the matching degree between the current monitoring result and the selected interval of the target user. Illustratively, when the matching analysis result shows that the matching degree between the current monitoring result and the selected interval of the target user is high, it can be determined that the electricity consumption integrity of the target user is high, the electricity consumption integrity of the target user is identified, and then a certain electricity consumption discount is sent to the target user. The technical effects that the target user is subjected to electricity utilization integrity identification adaptively according to the use current monitoring result, electricity utilization consciousness of the target user is improved, and intelligence of power distribution management is improved are achieved.
Further, as shown in fig. 3, after step S600, the method further includes:
step S710: obtaining adjustment information of the feedback non-adjustable equipment of the target user;
step S720: performing adjustment interval evaluation according to the adjustment information to obtain an adjustment interval evaluation result;
step S730: feedback electricity price discount information is obtained according to the adjustment interval evaluation result;
step S740: and sending the feedback electricity price discount information to the target user.
Specifically, adjustment interval evaluation is carried out according to adjustment information of feedback non-adjustable equipment of a target user, an adjustment interval evaluation result is obtained, feedback electricity price discount information is obtained according to the adjustment interval evaluation result, and the feedback electricity price discount information is sent to the target user. Wherein the adjustment information of the feedback non-adjustable device of the target user comprises adjustment use interval period information of the non-adjustable device of the target user. The non-adjustable devices include devices such as electric lamps that cannot be power adjusted by the target user. The adjustment interval evaluation result comprises data information such as whether the adjustment interval of the adjustment information avoids the power consumption peak period, whether the adjustment interval is reasonable, whether the adjustment interval can be optimized and the like. The feedback electricity price discount information comprises data information such as electricity price and electricity discount corresponding to the adjustment information. The adjustment information here is the adjustment information of the feedback non-adjustable device of the target user. The technical effects that the use time interval of the non-adjustable equipment of the target user is adjusted, and the adaptability of power distribution management of the target user is improved are achieved.
In summary, the intelligent power distribution method provided by the application has the following technical effects:
the method comprises the steps that a user electric appliance information acquisition table is sent to a target user, and feedback information of the target user is obtained; carrying out periodic power utilization information acquisition on the target user through the intelligent ammeter to obtain power utilization information of the target user; acquiring branch current information through the branch current acquisition device, and identifying adjustable equipment according to a branch current information acquisition result and the feedback information to obtain an identification result; performing use time interval optimization analysis on the adjustable equipment by combining the electricity utilization information to obtain an optimized adjustment time interval; carrying out user power consumption influence evaluation according to the power consumption information, and generating a power consumption adjustment coefficient according to an influence evaluation result; and carrying out power utilization management on the target user according to the optimized adjustment time interval and the power utilization adjustment coefficient. The accuracy and precision of power distribution management are improved, and the effect and quality of power distribution management are improved; meanwhile, the intelligence and the scientificity of power distribution management are improved, and the technical effect of providing high-quality power distribution management service for users is further achieved.
Example two
Based on the same inventive concept as the intelligent power distribution method in the foregoing embodiment, the present invention further provides an intelligent power distribution system, referring to fig. 4, where the system includes:
the system comprises an electrical appliance information acquisition module 11, an electrical appliance information acquisition module 11 and a feedback module, wherein the electrical appliance information acquisition module 11 is used for constructing a user electrical appliance information acquisition table, and sending the user electrical appliance information acquisition table to a target user to obtain feedback information of the target user;
the power utilization information acquisition module 12 is configured to acquire the periodic power utilization information of the target user through the smart meter, so as to obtain the power utilization information of the target user;
the identification module 13 is used for acquiring branch current information through the branch current acquisition device, and performing adjustable equipment identification according to a branch current information acquisition result and the feedback information to obtain an identification result;
the optimization module 14 is configured to perform optimal analysis on the use time period of the adjustable device according to the identification result and the power consumption information to obtain an optimal adjustment time period interval;
the power utilization adjusting module 15 is used for evaluating the influence of power consumption of the user according to the power utilization information and generating a power utilization adjusting coefficient according to an influence evaluation result;
and the power utilization management module 16 is used for performing power utilization management on the target user according to the optimized adjustment time interval and the power utilization adjustment coefficient.
Further, the system further comprises:
the statistical analysis module is used for setting an influence evaluation area, carrying out statistical analysis on the electricity utilization period information according to the influence evaluation area, and generating a regional electricity utilization period statistical result according to a statistical analysis result;
the power utilization peak analysis module is used for acquiring power utilization information of a power supply total area and carrying out power utilization peak analysis according to the power utilization information of the power supply total area to obtain a power utilization peak analysis result;
the compensation module is used for compensating the regional power consumption period statistical result according to the power consumption peak value analysis result to obtain a compensation regional power consumption period statistical result;
and the optimization analysis module is used for carrying out the optimization analysis of the use time interval of the adjustable equipment according to the statistical result of the electricity consumption time interval of the compensation area to obtain the optimization adjustment time interval.
Further, the system further comprises:
the time interval grading module is used for carrying out time interval grading on the statistical result of the electricity utilization time intervals of the compensation area to obtain a time interval grading result;
a construction module for constructing a hierarchical reward coefficient set;
and the reward matching module is used for carrying out reward matching on the time interval grading result according to the grading reward coefficient set and generating the optimized adjustment time interval according to the reward matching result.
Further, the system further comprises:
the power consumption constraint threshold determination module is used for calculating the average power consumption value of the user according to the statistical result of the regional power consumption time interval and adjusting the preset proportion according to the calculation result to obtain a power consumption constraint threshold;
the influence adjustment coefficient determining module is used for acquiring the user number information of the target user and generating an influence adjustment coefficient according to the user number information;
and the user power consumption influence evaluation module is used for evaluating the user power consumption influence according to the power consumption information, the influence adjustment coefficient and the power consumption constraint threshold, and acquiring the power consumption adjustment coefficient based on an evaluation result.
Further, the system further comprises:
a selection module, configured to send the optimized adjustment time interval to the target user, so as to obtain a selected interval of the target user;
the callback coefficient determining module is used for performing optimized power consumption adjustment evaluation according to the selected interval and generating a callback coefficient based on an evaluation result;
and the electricity price adjusting module is used for adjusting the electricity price of the selected interval based on the callback coefficient.
Further, the system further comprises:
the current monitoring module is used for monitoring the use current of the selected interval according to the branch current collecting device to obtain a use current monitoring result;
the matching analysis module is used for performing matching analysis according to the using current monitoring result and the selected interval of the target user to obtain a matching analysis result;
and the integrity identification module is used for identifying the electricity integrity of the target user according to the matching analysis result.
Further, the system further comprises:
an adjustment information determination module of a non-adjustable device, wherein the adjustment information determination module of the non-adjustable device is used for obtaining adjustment information of the feedback non-adjustable device of the target user;
the adjustment interval evaluation module is used for carrying out adjustment interval evaluation according to the adjustment information to obtain an adjustment interval evaluation result;
the feedback electricity price discount information determining module is used for obtaining feedback electricity price discount information according to the adjustment interval evaluation result;
and the sending module is used for sending the feedback electricity price discount information to the target user.
The application provides an intelligent power distribution method, wherein the method is applied to an intelligent power distribution system, and the method comprises the following steps: the method comprises the steps that a user electric appliance information acquisition table is sent to a target user, and feedback information of the target user is obtained; carrying out periodic power utilization information acquisition on the target user through the intelligent ammeter to obtain power utilization information of the target user; acquiring branch current information through the branch current acquisition device, and identifying adjustable equipment according to a branch current information acquisition result and the feedback information to obtain an identification result; performing use time interval optimization analysis on the adjustable equipment by combining the electricity utilization information to obtain an optimization adjustment time interval; carrying out user power consumption influence evaluation according to the power consumption information, and generating a power consumption adjustment coefficient according to an influence evaluation result; and carrying out power utilization management on the target user according to the optimized adjustment time interval and the power utilization adjustment coefficient. The problem of among the prior art to the accuracy of distribution management not enough, and then cause the not good technical problem of distribution management effect is solved. The accuracy and precision of power distribution management are improved, and the effect and quality of power distribution management are improved; meanwhile, the intelligence and the scientificity of power distribution management are improved, and the technical effect of providing better power distribution management service for users is further achieved.
Claims (6)
1. An intelligent power distribution method is applied to an intelligent power distribution system which is in communication connection with a branch current acquisition device and an intelligent ammeter, and comprises the following steps:
constructing a user electric appliance information acquisition table, and sending the user electric appliance information acquisition table to a target user to obtain feedback information of the target user;
carrying out periodic power utilization information acquisition on the target user through the intelligent ammeter to obtain power utilization information of the target user;
acquiring branch current information through the branch current acquisition device, and identifying adjustable equipment according to a branch current information acquisition result and the feedback information to obtain an identification result;
performing use time interval optimization analysis on the adjustable equipment according to the identification result and the electricity utilization information to obtain an optimized adjustment time interval;
carrying out user power consumption influence evaluation according to the power consumption information, and generating a power consumption adjustment coefficient according to an influence evaluation result;
performing power utilization management on the target user according to the optimized adjustment time interval and the power utilization adjustment coefficient;
wherein the method further comprises:
setting an influence evaluation area, carrying out power utilization period information statistical analysis according to the influence evaluation area, and generating a regional power utilization period statistical result according to a statistical analysis result;
acquiring power utilization information of a power supply total area, and performing power utilization peak value analysis according to the power utilization information of the power supply total area to obtain a power utilization peak value analysis result;
compensating the statistical result of the regional power consumption time period according to the power consumption peak value analysis result to obtain a statistical result of the compensated regional power consumption time period;
performing use time interval optimization analysis on the adjustable equipment according to the compensation region electricity consumption time interval statistical result to obtain the optimization adjustment time interval;
calculating the average value of the power consumption of the user according to the statistical result of the regional power consumption time interval, and adjusting the preset proportion according to the calculation result to obtain a power consumption constraint threshold;
acquiring user quantity information of the target user, and generating an influence adjustment coefficient according to the user quantity information;
and evaluating the influence of the power consumption of the user according to the power consumption information, the influence adjustment coefficient and the power consumption constraint threshold, and obtaining the power consumption adjustment coefficient based on an evaluation result.
2. The method of claim 1, wherein the method further comprises:
carrying out time interval grading on the statistical result of the electricity consumption time interval of the compensation area to obtain a time interval grading result;
constructing a graded reward coefficient set;
and carrying out reward matching on the time interval grading result according to the grading reward coefficient set, and generating the optimized adjustment time interval according to a reward matching result.
3. The method of claim 1, wherein the method further comprises:
sending the optimization adjustment time interval to the target user to obtain a selected interval of the target user;
performing optimized power consumption adjustment evaluation according to the selected interval, and generating a callback coefficient based on an evaluation result;
and adjusting the electricity price of the selected interval based on the callback coefficient.
4. The method of claim 3, further comprising:
monitoring the use current of the selected interval according to the branch current collecting device to obtain a use current monitoring result;
performing matching analysis according to the use current monitoring result and the selected interval of the target user to obtain a matching analysis result;
and performing electricity integrity identification on the target user according to the matching analysis result.
5. The method of claim 1, wherein the method further comprises:
obtaining adjustment information of the feedback non-adjustable equipment of the target user;
performing adjustment interval evaluation according to the adjustment information to obtain an adjustment interval evaluation result;
feedback electricity price discount information is obtained according to the adjustment interval evaluation result;
and sending the feedback electricity price discount information to the target user.
6. The utility model provides an intelligent power distribution system, its characterized in that, system and branch road current collection system, smart electric meter communication connection, the system includes:
the system comprises an electric appliance information acquisition module, a feedback module and a feedback module, wherein the electric appliance information acquisition module is used for constructing a user electric appliance information acquisition table and sending the user electric appliance information acquisition table to a target user to obtain feedback information of the target user;
the power utilization information acquisition module is used for carrying out periodic power utilization information acquisition on the target user through the intelligent ammeter to obtain power utilization information of the target user;
the identification module is used for acquiring branch current information through the branch current acquisition device, and identifying adjustable equipment according to a branch current information acquisition result and the feedback information to obtain an identification result;
the optimization module is used for carrying out optimization analysis on the use time interval of the adjustable equipment according to the identification result and the electricity utilization information to obtain an optimization adjustment time interval;
the power utilization adjusting module is used for evaluating the influence of power consumption of the user according to the power utilization information and generating a power utilization adjusting coefficient according to an influence evaluation result;
the power utilization management module is used for carrying out power utilization management on the target user according to the optimized adjustment time interval and the power utilization adjustment coefficient;
the system further comprises:
the statistical analysis module is used for setting an influence evaluation area, carrying out statistical analysis on the electricity utilization period information according to the influence evaluation area, and generating a regional electricity utilization period statistical result according to a statistical analysis result;
the power utilization peak analysis module is used for collecting power utilization information of a power supply total area and carrying out power utilization peak analysis according to the power utilization information of the power supply total area to obtain a power utilization peak analysis result;
the compensation module is used for compensating the regional power consumption period statistical result according to the power consumption peak value analysis result to obtain a compensation regional power consumption period statistical result;
the optimization analysis module is used for carrying out optimization analysis on the use time interval of the adjustable equipment according to the electricity consumption time interval statistical result of the compensation area to obtain the optimization adjustment time interval;
the power consumption constraint threshold determination module is used for calculating the average power consumption value of the user according to the statistical result of the regional power consumption time interval and adjusting the preset proportion according to the calculation result to obtain a power consumption constraint threshold;
the influence adjustment coefficient determining module is used for acquiring the user number information of the target user and generating an influence adjustment coefficient according to the user number information;
and the user power consumption influence evaluation module is used for evaluating the user power consumption influence according to the power utilization information, the influence adjustment coefficient and the power consumption constraint threshold value, and acquiring the power utilization adjustment coefficient based on an evaluation result.
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| CN115169999B (en) * | 2022-09-06 | 2023-04-28 | 浙江万胜智能科技股份有限公司 | Power load management method and system based on acquisition communication module |
| CN115347679B (en) * | 2022-10-17 | 2023-03-03 | 浙江万胜智能科技股份有限公司 | Intelligent management method and system for electricity consumption of user |
| CN117039910B (en) * | 2023-10-09 | 2024-01-05 | 国网浙江省电力有限公司宁波供电公司 | Management method and management device for electric power energy requirements based on multiple models |
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Denomination of invention: An intelligent distribution method and system Effective date of registration: 20230706 Granted publication date: 20230124 Pledgee: Zhejiang Pinghu Rural Commercial Bank Co.,Ltd. Xindai sub branch Pledgor: Jiaxing sine Electric Co.,Ltd. Registration number: Y2023980047623 |