CN114938071A - New energy operation system intelligent monitoring management system based on artificial intelligence - Google Patents

New energy operation system intelligent monitoring management system based on artificial intelligence Download PDF

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CN114938071A
CN114938071A CN202210519882.7A CN202210519882A CN114938071A CN 114938071 A CN114938071 A CN 114938071A CN 202210519882 A CN202210519882 A CN 202210519882A CN 114938071 A CN114938071 A CN 114938071A
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power generation
information
target analysis
resident
area
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魏可情
李伟铭
张成洲
朱佳
吴泉鑫
林云斌
程维维
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Wenzhou Moshang Microelectronics Co ltd
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Wenzhou Moshang Microelectronics Co ltd
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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
    • H02J13/00001—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 the display of information or by user interaction, e.g. supervisory control and data acquisition systems [SCADA] or graphical user interfaces [GUI]
    • 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
    • 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
    • H02J13/00006—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 information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment
    • 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
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/28—Arrangements for balancing of the load in a network by storage of energy
    • H02J3/32—Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
    • 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
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • 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
    • H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/10—Power transmission or distribution systems management focussing at grid-level, e.g. load flow analysis, node profile computation, meshed network optimisation, active network management or spinning reserve management
    • 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
    • H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
    • 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
    • H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
    • H02J2300/20—The dispersed energy generation being of renewable origin
    • H02J2300/22—The renewable source being solar energy
    • H02J2300/24—The renewable source being solar energy of photovoltaic origin
    • 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
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • 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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  • Engineering & Computer Science (AREA)
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  • Human Computer Interaction (AREA)
  • Supply And Distribution Of Alternating Current (AREA)

Abstract

The invention discloses an intelligent monitoring and managing system of a new energy running system based on artificial intelligence. The new energy operation system intelligent monitoring and management system based on artificial intelligence comprises a regional power generation basic information acquisition module, a regional power generation environment information acquisition module, a regional power grid information operation analysis module and a regional information base; according to the comprehensive monitoring system and the comprehensive monitoring method, the basic information, the electric power information and the power generation environment information corresponding to residents of the photovoltaic power generation systems in the designated area are acquired, so that the comprehensive operation benefits of the corresponding photovoltaic power generation systems in the designated area are analyzed, the problem that the monitoring parameters of the prior art are too limited is effectively solved through multi-dimensional data acquisition, the comprehensiveness and the accuracy of the operation benefit analysis of the photovoltaic power generation systems in the designated area are greatly improved, and the development of the management work of the photovoltaic power generation systems in the designated area is promoted.

Description

New energy operation system intelligent monitoring management system based on artificial intelligence
Technical Field
The invention belongs to the technical field of energy operation monitoring management, and relates to an artificial intelligence-based intelligent monitoring management system for a new energy operation system.
Background
With the increasing severity of environmental pollution and the increasing exhaustion of energy sources, photovoltaic power generation becomes the primary power generation mode through a plurality of characteristics of sufficient resources, no pollution and the like, under the background, the photovoltaic power generation mode is continuously updated, the household photovoltaic power generation mode is generated accordingly, and in order to guarantee the stability of household photovoltaic power generation operation, the household photovoltaic power generation operation system needs to be monitored and managed.
At present monitor and manage domestic formula photovoltaic power generation operating system mainly used and monitor and analyze environmental parameter such as temperature, humidity that the group of generating cells corresponds among the domestic formula photovoltaic power generation operating system, manage each photovoltaic power generation efficiency from this, it is very obvious, still have following several drawbacks to the monitoring and management mode of domestic formula photovoltaic power generation operating system at present:
1. the purpose of deriving the household photovoltaic power generation mode is to relieve the power supply pressure on one hand, and provide additional revenue sources for rural areas and other areas with lower income on the other hand, for household photovoltaic power generation system users or power grid platform operation, the importance of return efficiency analysis is self-evident, the return efficiency in a household photovoltaic power generation system arrangement area is not monitored and analyzed at present, the operation condition of the household photovoltaic power generation system in the area cannot be reflected, and therefore a reliable direction cannot be provided for subsequent power grid operation managers to manage the household photovoltaic power generation system, and the operation management efficiency of the household photovoltaic power generation system cannot be improved;
2. when the power generation efficiency of the household photovoltaic power generation operation system is analyzed, the analysis basis is too single, and the referential and accuracy of the power generation efficiency analysis result of the household power generation system cannot be effectively improved;
3. when monitoring and managing the household photovoltaic power generation operation system, the grid-connected loss corresponding to the household photovoltaic power generation system is not analyzed, so that a clear optimization direction cannot be provided for the operation of the household photovoltaic power generation operation system, and a decision-making reference cannot be provided for the reduction of the electric energy transmission loss.
Disclosure of Invention
In view of this, in order to solve the problems in the background art, an intelligent monitoring and managing system for a new energy operating system based on artificial intelligence is proposed;
the purpose of the invention can be realized by the following technical scheme:
the invention provides an artificial intelligence-based intelligent monitoring and managing system for a new energy running system, which comprises:
the system comprises a regional power generation basic information acquisition module, a regional power generation basic information acquisition module and a regional power generation basic information acquisition module, wherein the regional power generation basic information acquisition module is used for acquiring the number of residents in a specified region, recording the residents as target analysis residents, numbering each target analysis resident as 1,2,... i,. n in sequence, and acquiring basic power generation information corresponding to each target analysis resident;
the regional power information acquisition module is used for acquiring the generated energy and the grid-connected electric quantity corresponding to each target analysis resident in the designated region according to a preset acquisition period, extracting a power grid-connected account from the basic power generation information corresponding to each target analysis resident, positioning the actual transmission electric quantity corresponding to each target analysis resident from a power grid management background based on the power grid-connected account corresponding to each target analysis resident, and taking the generated energy, the grid-connected electric quantity and the actual transmission electric quantity as the power information corresponding to each target analysis resident;
the regional power generation environment information acquisition module is used for acquiring corresponding power generation environment information in a designated region according to a preset acquisition cycle to obtain corresponding power generation environment information of the designated region in the preset acquisition cycle, wherein the power generation environment information comprises average illumination time, average illumination intensity and rainy days;
the regional power grid information operation analysis module is used for analyzing basic power generation information and generated energy corresponding to residents, merging power grid amount, actual transmission power amount and power generation environment information corresponding to the designated region based on all targets in the designated region, analyzing comprehensive operation benefits corresponding to the photovoltaic power generation system in the designated region, outputting comprehensive operation benefit indexes corresponding to the photovoltaic power generation system in the designated region, and displaying the comprehensive operation benefit indexes in a background;
and the area information base is used for storing geographic information, meteorological information, set azimuth information and photovoltaic power generation related cost information corresponding to the specified area.
In a preferred embodiment of the present invention, the basic power generation information corresponding to each target analysis resident is specifically a power grid-connected account, a house orientation, an area for laying a power generation battery pack, and an area for laying a power generation battery pack sheltered area corresponding to each target analysis resident.
In a preferred embodiment of the present invention, the regional power grid information operation analysis module includes a regional power grid generation efficiency analysis unit, a regional power grid power transmission loss analysis unit, and a regional power grid return efficiency analysis unit.
In a preferred embodiment of the present invention, the regional power grid power generation efficiency analysis unit is configured to analyze the power generation efficiency corresponding to the photovoltaic power generation system installed by each target analysis user in the designated region, and a specific analysis process includes the following steps:
step 1, positioning the area of a distributed power generation battery pack corresponding to each target analysis resident from the basic power generation information corresponding to each target analysis resident, calculating to obtain the set power generation amount corresponding to each target analysis resident, and recording as Q i Preset Wherein i represents a number corresponding to each target analysis resident, and i is 1, 2.
Step 2, positioning the corresponding generated energy of each target analysis resident in a preset acquisition period from the corresponding electric power information of each target analysis resident, and recording the generated energy as Q i ′；
Step 3, calculating and obtaining a power generation environment influence weight corresponding to the designated area in a preset acquisition period based on the power generation environment information corresponding to the designated area in the preset acquisition period, and recording the power generation environment influence weight as epsilon;
step 4, based on the basic power generation information corresponding to each target analysis resident, calculating to obtain the residential environment influence weight of each target analysis resident, and recording the residential environment influence weight as eta i ；
Step 5, based on the set generated energy corresponding to each target analysis resident, the generated energy corresponding to each target analysis resident in the preset acquisition period, the power generation environment influence weight corresponding to the designated area in the preset acquisition period and the power generation shielding influence weight corresponding to each target analysis resident, calculating to obtain the power generation efficiency index corresponding to the designated area, wherein the specific calculation formula is
Figure BDA0003641201050000041
Wherein FX is expressed as a power generation efficiency index corresponding to a designated area, t is expressed as a number of days corresponding to a preset collection period, Δ Q is expressed as a set allowable power generation difference, and σ is expressed as a set power generation efficiency influence coefficient.
In a preferred embodiment of the present invention, the specific calculation process of the power generation environment influence weight corresponding to the designated area in the preset acquisition period includes the following steps:
locating the average illumination time length from the power generation environment information corresponding to the designated area in the preset acquisition period, and calculating by using a calculation formula to obtain the power generation influence weight corresponding to the illumination time length of the designated area in the preset acquisition period and marking as epsilon 1;
positioning the average illumination intensity from the power generation environment information corresponding to the designated area in the preset acquisition period, and calculating to obtain the power generation influence weight corresponding to the illumination intensity of the designated area in the preset acquisition period by using a calculation formula and marking as epsilon 2;
positioning the number of rainy days from the power generation environment information corresponding to the designated area in the preset acquisition period, and calculating the power generation influence weight corresponding to the number of rainy days in the preset acquisition period by using a calculation formula and recording as epsilon 3;
illumination within a preset acquisition period based on a designated areaSubstituting the power generation influence weights corresponding to the duration, the illumination intensity and the number of rainy days into a calculation formula
Figure BDA0003641201050000051
In the method, the corresponding power generation environment influence weight in the preset acquisition period in the designated area is obtained, and a1, a2 and a3 are respectively expressed as preset compensation factors corresponding to the illumination duration, the illumination intensity and the rainy weather.
In a preferred embodiment of the present invention, the specific calculation process of the environmental impact weight of each target analysis resident house is as follows:
positioning the area of the distributed power generation battery pack and the area of the shielded area of the distributed power generation battery pack from the basic power generation information corresponding to each target analysis resident, further calculating the ratio of the shielded area corresponding to the distributed power generation battery pack of each target analysis resident, and recording the ratio as p i ；
Substituting the shielding area ratio corresponding to the power generation battery set arranged by each target analysis resident into a calculation formula
Figure BDA0003641201050000052
Obtaining the power generation influence weight of the shielding area corresponding to the power generation battery pack corresponding to each target analysis user, wherein p' is the set allowable shielding area ratio of the power generation battery pack;
the residence orientation is positioned from the basic power generation information corresponding to each target analysis resident, and further, the power generation influence weight corresponding to the residence orientation corresponding to each target analysis resident is positioned from the regional information base and is recorded as beta i ；
Based on the power generation influence weight of the shielding area corresponding to the power generation battery pack corresponding to each target analysis user and the power generation influence weight corresponding to the house orientation, the house environment influence weight of each target analysis resident is calculated and obtained, and the specific calculation formula is
Figure BDA0003641201050000061
Here, b1 and b2 are expressed as ratio weights corresponding to the battery pack shading area and the housing orientation, respectively, and b1+ b2 is 1.
In a preferred embodiment of the present invention, the analysis unit for analyzing the power transmission loss of the regional power grid is configured to analyze the corresponding power transmission loss in the designated region, and the specific analysis process includes: locating grid-connected electric quantity and actual transmission electric quantity corresponding to each target analysis resident from electric power information corresponding to each target analysis resident, calculating a difference value between the grid-connected electric quantity and the actual transmission electric quantity corresponding to each target analysis resident to obtain a difference value between the grid-connected electric quantity and the actual transmission electric quantity of each target analysis resident, recording the difference value as a transmission loss electric quantity value, and substituting the transmission loss electric quantity value corresponding to each target analysis resident into a calculation formula
Figure BDA0003641201050000062
In the method, the power transmission loss index, delta h, corresponding to the designated area is obtained i Expressed as a transmission loss electric quantity value corresponding to the ith target analysis household, Δ h' expressed as a set allowable loss electric quantity difference, e expressed as a natural number,
Figure BDA0003641201050000063
and transmitting the loss compensation coefficient for the set power grid.
In a preferred embodiment of the present invention, the regional power grid return efficiency analysis unit is configured to analyze the power generation return efficiency corresponding to each target analysis resident in the designated region, and a specific analysis process includes the following steps:
positioning geographic information from a regional information base, wherein the geographic information is longitude and latitude corresponding to a designated region, and calculating by using a calculation formula to obtain a power generation return efficiency influence weight corresponding to the geographic information of the designated region and recording as delta;
positioning weather information from a region information base, wherein the weather information is the annual average temperature and the longest continuous rainy days corresponding to a specified region, and calculating by using a calculation formula to obtain the power generation return efficiency influence weight corresponding to the weather information of the specified region and recording as phi;
locating photovoltaic power generation related expense information from an area information base, wherein the photovoltaic power generation related expense information comprises cost amount corresponding to the area of a unit layout power generation battery pack, subsidy amount corresponding to unit power generation amount and sales amount corresponding to unit grid-connected electric quantity;
substituting the photovoltaic power generation related cost information corresponding to the specified area, the geographic information of the specified area and the power generation return efficiency influence weight corresponding to the meteorological information into a calculation formula
Figure BDA0003641201050000071
Obtaining a power generation return efficiency index corresponding to a designated area, wherein R represents the cost amount corresponding to unit layout of a power generation battery pack, R represents the set asset residual value of the power generation battery pack, g represents the set power generation discount rate, m represents the set allowable service life of the power generation battery pack, d represents the subsidy amount corresponding to unit power generation amount, q represents the sales amount corresponding to unit grid-connected electric quantity, and B represents the sales amount corresponding to unit grid-connected electric quantity i Expressed as the grid-connected electric quantity, s, corresponding to the ith target analysis resident in the designated area i ' represents that the generating set area is laid for the ith target analysis resident, K represents the set reference generating return efficiency, and psi represents the set generating return efficiency correction coefficient.
In a preferred embodiment of the present invention, the calculation formula of the comprehensive operation benefit index corresponding to the photovoltaic power generation system in the designated area is
Figure BDA0003641201050000072
Wherein, λ is expressed as a comprehensive operation benefit index of the photovoltaic power generation system corresponding to the designated area, μ 1, μ 2, and μ 3 are respectively set power generation benefits, transmission loss, and operation benefit influence weights corresponding to the power generation return efficiency, and values of μ 1, μ 2, and μ 3 are positive numbers.
In a preferred embodiment of the present invention, the geographic information corresponding to the designated area is longitude and latitude; the meteorological information is the annual average air temperature and the longest continuous rainy days; setting azimuth information as a power generation influence weight corresponding to each set residential azimuth; the photovoltaic power generation related expense information is cost amount corresponding to the area of a unit layout power generation battery pack, subsidy amount corresponding to unit power generation amount and sales amount corresponding to unit grid-connected electric quantity.
Compared with the prior art, the invention has the following beneficial effects:
(1) according to the artificial intelligence-based intelligent monitoring and managing system for the new energy operating system, the basic information, the electric power information and the power generation environment information corresponding to residents respectively provided with the photovoltaic power generation system in the designated area are acquired, the comprehensive operating benefit corresponding to the photovoltaic power generation system in the designated area is analyzed, through multi-dimensional data acquisition, on one hand, the problem that monitoring parameters in the prior art are too limited is effectively solved, the comprehensiveness and accuracy of the operation benefit analysis of the photovoltaic power generation system in the designated area are greatly improved, on the other hand, the operating benefit state of the photovoltaic power generation system in the designated area is visually displayed, great convenience is provided for the operation management of the photovoltaic power generation system in the subsequent designated area, and the development of the management work of the photovoltaic power generation system in the designated area is promoted;
(2) according to the method, the return efficiency corresponding to each target analysis resident in the designated area is analyzed by the regional power grid information operation analysis module, so that the operation return condition of the photovoltaic power generation system in the designated area is effectively reflected, a reliable direction is provided for the follow-up power grid operation manager to manage the photovoltaic power generation system, and meanwhile, the management efficiency of the photovoltaic power generation system in the designated area is greatly improved;
(3) according to the photovoltaic power generation system operation analysis method, the power generation efficiency corresponding to the photovoltaic power generation system arranged by each target analysis resident user in the designated area is analyzed through the regional power grid information operation analysis module, the basis for analyzing the comprehensive operation benefit of the photovoltaic power generation system in the designated area subsequently is expanded, the problem that the current analysis basis is too single is avoided, the referential property and the accuracy of the power generation efficiency analysis result corresponding to the photovoltaic power generation system in the designated area are greatly improved, meanwhile, the power transmission loss of the designated area is analyzed, a clear optimization direction is provided for the operation of the photovoltaic power generation system in the designated area, and a decision-making reference basis is provided for the reduction of the power transmission loss of the designated area.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic diagram of the connection of the modules of the system of the present invention;
fig. 2 is a schematic structural diagram of a regional power grid information operation analysis module.
Detailed Description
While the foregoing is directed to embodiments of the present invention, other and further embodiments of the invention may be devised without departing from the basic scope thereof, and the scope thereof is determined by the claims that follow.
Referring to fig. 1, the invention provides an intelligent monitoring and managing system for a new energy operating system based on artificial intelligence, which comprises a regional power generation basic information acquisition module, a regional power generation environment information acquisition module, a regional power grid information operation analysis module and a regional information base;
based on the connection relation in the figure, the regional power grid information operation analysis module is respectively connected with a regional power generation basic information acquisition module, a regional power generation environment information acquisition module and a regional information base, and the regional power generation basic information acquisition module is connected with the regional power information acquisition module;
the regional power generation basic information acquisition module is used for acquiring the number of residents in a specified region where the photovoltaic power generation system is arranged, recording the residents as target analysis residents, numbering each target analysis resident as 1,2,. a.i,. n in sequence, and acquiring basic power generation information corresponding to each target analysis resident;
specifically, the basic power generation information corresponding to each target analysis resident is a power grid-connected account, a residence direction, an area of a power generation battery pack, and an area of a power generation battery pack shielding region corresponding to each target analysis resident.
It should be noted that the designated area is a current household photovoltaic power generation system installation area;
the regional power information acquisition module is used for acquiring the generated energy and grid-connected electric quantity corresponding to each target analysis resident in the designated region according to a preset acquisition period, extracting a power grid-connected account from the basic power generation information corresponding to each target analysis resident, positioning the actual transmission electric quantity corresponding to each target analysis resident from a power grid management background based on the power grid-connected account corresponding to each target analysis resident, and taking the generated energy, the grid-connected electric quantity and the actual transmission electric quantity as the power information corresponding to each target analysis resident;
it should be noted that the grid-connected mode is a self-power-consumption surplus-power-consumption internet-surfing mode, the power generation amount is read from the installed power generation electric meters corresponding to the target analysis households in the designated area, the grid-connected electric quantity is read from the middle parts of the installed power utilization electric meters corresponding to the target analysis households in the designated area, and the difference between the power generation amount and the power utilization electric quantity is obtained.
The regional power generation environment information acquisition module is used for acquiring corresponding power generation environment information in the designated region according to a preset acquisition period to obtain corresponding power generation environment information of the designated region in the preset acquisition period, wherein the power generation environment information comprises average illumination duration, average illumination intensity and overcast and rainy days;
the regional power grid information operation analysis module is used for analyzing the basic power generation information and the generated energy corresponding to the resident, the merging power grid amount, the actual transmission power amount and the corresponding power generation environment information in the designated region based on each target in the designated region, analyzing the comprehensive operation benefit corresponding to the photovoltaic power generation system in the designated region, outputting the comprehensive operation benefit index corresponding to the photovoltaic power generation system in the designated region, and displaying the comprehensive operation benefit index in a background;
specifically, please refer to fig. 2, the regional power grid information operation analysis module includes a regional power grid power generation efficiency analysis unit, a regional power grid power transmission loss analysis unit, and a regional power grid return efficiency analysis unit.
Illustratively, the regional power grid power generation efficiency analysis unit is used for analyzing the power generation efficiency corresponding to the photovoltaic power generation system installed by each target analysis user in the designated region, and the specific analysis process comprises the following steps:
step 1, positioning the area of a distributed power generation battery pack corresponding to each target analysis resident from the basic power generation information corresponding to each target analysis resident, calculating to obtain the set power generation amount corresponding to each target analysis resident, and recording as Q i Preset Wherein i represents a number corresponding to each target analysis resident, i is 1, 2.
The set generating capacity calculation formula is that the set generating capacity is equal to the unit generating capacity area corresponding to the rated generating capacity multiplied by the generating battery pack area;
step 2, positioning the corresponding generated energy of each target analysis resident in a preset acquisition period from the corresponding electric power information of each target analysis resident, and recording the generated energy as Q';
step 3, calculating and obtaining the corresponding power generation environment influence weight in the appointed area in the preset acquisition period based on the corresponding power generation environment information of the appointed area in the preset acquisition period, and recording the weight as epsilon;
the specific calculation process of the power generation environment influence weight corresponding to the designated area in the preset acquisition period comprises the following steps:
locating the average illumination time length from the power generation environment information corresponding to the designated area in the preset acquisition period, calculating the power generation influence weight corresponding to the illumination time length of the designated area in the preset acquisition period by using a calculation formula and recording as epsilon 1,
Figure BDA0003641201050000121
T reference to For a corresponding reference average illumination duration within a set preset acquisition period,
Figure BDA0003641201050000122
representing the corresponding average illumination time length of the designated area in a preset acquisition period;
slave fingerThe average illumination intensity of the specified area is positioned in the corresponding power generation environment information in the preset acquisition period, the power generation influence weight of the specified area corresponding to the illumination intensity in the preset acquisition period is calculated by using a calculation formula and is marked as epsilon 2,
Figure BDA0003641201050000123
C reference to Expressed as a reference average illumination intensity corresponding to a set preset acquisition period,
Figure BDA0003641201050000124
representing the corresponding average illumination intensity of the designated area in a preset acquisition period;
positioning the number of rainy days from the corresponding power generation environment information of the designated area in the preset acquisition period, calculating the power generation influence weight of the designated area corresponding to the number of rainy days in the preset acquisition period by using a calculation formula, and recording as epsilon 3,
Figure BDA0003641201050000125
y represents the corresponding rainy days of the designated area in the preset acquisition period, and k represents the set reference rainy weather occurrence ratio;
substituting the power generation influence weight corresponding to the illumination duration, the illumination intensity and the number of rainy days in the preset acquisition period based on the designated area into a calculation formula
Figure BDA0003641201050000131
In the method, the corresponding power generation environment influence weight in the preset acquisition period in the designated area is obtained, and a1, a2 and a3 are respectively expressed as preset compensation factors corresponding to the illumination duration, the illumination intensity and the rainy weather.
Step 4, based on the basic power generation information corresponding to each target analysis resident, calculating to obtain the residential environment influence weight of each target analysis resident, and recording the weight as eta i ；
The specific calculation process of analyzing the residential environment influence weight of each target is as follows:
positioning and distributing power generation batteries from basic power generation information corresponding to each target analysis residentThe area of the group and the area of the shielded area for laying the power generation battery packs are calculated to obtain the ratio of the shielded area corresponding to the power generation battery packs laid by each target analysis resident and recorded as p i ，
Figure BDA0003641201050000132
s i Representing that the shielded area s 'corresponding to the power generation battery group is laid by the ith target analysis resident' i The power generation pool area is laid for the ith target analysis resident.
Substituting the shielding area ratio corresponding to the power generation battery set arranged by each target analysis resident into a calculation formula
Figure BDA0003641201050000133
Obtaining the power generation influence weight of the shielding area corresponding to the power generation battery pack corresponding to each target analysis user, wherein p' is the set allowable shielding area ratio of the power generation battery pack;
the residence orientation is positioned from the basic power generation information corresponding to each target analysis resident, and further, the power generation influence weight corresponding to the residence orientation corresponding to each target analysis resident is positioned from the regional information base and is recorded as beta i ；
Based on the power generation influence weight of the shielding area corresponding to the power generation battery pack corresponding to each target analysis user and the power generation influence weight corresponding to the house orientation, the house environment influence weight of each target analysis resident is calculated and obtained, and the specific calculation formula is
Figure BDA0003641201050000134
Here, b1 and b2 are expressed as ratio weights corresponding to the battery pack shading area and the housing orientation, respectively, and b1+ b2 is 1.
Step 5, based on the set generated energy corresponding to each target analysis resident, the generated energy corresponding to each target analysis resident in the preset acquisition period, the power generation environment influence weight corresponding to the designated area in the preset acquisition period and the power generation shielding influence weight corresponding to each target analysis resident, calculating to obtain the power generation efficiency index corresponding to the designated area, wherein the specific calculation formula is
Figure BDA0003641201050000141
Wherein FX is expressed as a power generation efficiency index corresponding to a designated area, t is expressed as the number of days corresponding to a preset acquisition period, Δ Q is expressed as a set allowable power generation difference, and σ is expressed as a set power generation efficiency influence coefficient.
Illustratively, the regional power grid power transmission loss analysis unit is configured to analyze a corresponding power transmission loss in a specified region, and a specific analysis process of the analysis unit is as follows: locating grid-connected electric quantity and actual transmission electric quantity corresponding to each target analysis resident from electric power information corresponding to each target analysis resident, calculating a difference value between the grid-connected electric quantity and the actual transmission electric quantity corresponding to each target analysis resident to obtain a difference value between the grid-connected electric quantity and the actual transmission electric quantity of each target analysis resident, recording the difference value as a transmission loss electric quantity value, and substituting the transmission loss electric quantity value corresponding to each target analysis resident into a calculation formula
Figure BDA0003641201050000142
In the method, a power transmission loss exponent Δ h corresponding to the designated area is obtained i Expressed as a transmission loss electric quantity value corresponding to the ith target analysis resident, Δ h' is expressed as a set allowable loss electric quantity difference, e is expressed as a natural number,
Figure BDA0003641201050000143
and transmitting the loss compensation coefficient for the set power grid.
According to the embodiment of the invention, the power generation efficiency corresponding to the photovoltaic power generation system arranged by each target analysis resident user in the designated area is analyzed, the basis for analyzing the comprehensive operation benefit of the photovoltaic power generation system in the designated area subsequently is expanded, the problem that the current analysis basis is too single is avoided, the reference and the accuracy of the power generation efficiency analysis result corresponding to the photovoltaic power generation system in the designated area are greatly improved, meanwhile, the power transmission loss of the designated area is analyzed, a clear optimization direction is provided for the operation of the photovoltaic power generation system in the designated area, and a decision-making reference basis is provided for reducing the power transmission loss of the designated area.
In another example, the regional power grid return efficiency analysis unit is configured to analyze the return efficiency of power generation corresponding to each target analysis household in the designated region, and a specific analysis process includes the following steps:
positioning geographic information from an area information base, wherein the geographic information is longitude and latitude corresponding to a specified area, calculating the influence weight of the power generation return efficiency corresponding to the geographic information of the specified area by using a calculation formula and recording the influence weight as delta,
Figure BDA0003641201050000151
w and N are respectively expressed as longitude and latitude corresponding to a designated area, W ', N' are respectively expressed as proper reference longitude and proper reference latitude corresponding to set photovoltaic power generation, f1 and f2 are respectively expressed as power generation influence weight corresponding to the longitude and power generation influence weight corresponding to the latitude, and delta W and delta N are respectively expressed as allowed longitude difference and allowed latitude difference corresponding to the set photovoltaic power generation;
positioning weather information from a region information base, wherein the weather information is the annual average temperature and the longest continuous rainy days corresponding to a specified region, and calculating by using a calculation formula to obtain the power generation return efficiency influence weight corresponding to the weather information of the specified region and recording as phi;
in the above-mentioned description,
Figure BDA0003641201050000152
Figure BDA0003641201050000153
T max expressing the annual average air temperature and the longest continuous rainy day number corresponding to the designated area, w ', T' expressing the suitable annual average air temperature and the suitable longest continuous rainy day number corresponding to the set photovoltaic power generation area, delta w, delta T expressing the set allowable air temperature difference and the allowable rainy day number difference, c1 and c2 expressing the influence ratio weight corresponding to the set air temperature and the influence ratio weight corresponding to the weather respectively;
locating photovoltaic power generation related expense information from an area information base, wherein the photovoltaic power generation related expense information comprises cost amount corresponding to the area of a unit layout power generation battery pack, subsidy amount corresponding to unit power generation amount and sales amount corresponding to unit grid-connected electric quantity;
substituting photovoltaic power generation related cost information corresponding to the specified area, geographic information of the specified area and power generation return efficiency influence weight corresponding to the meteorological information into a calculation formula
Figure BDA0003641201050000161
Obtaining a power generation return efficiency index corresponding to a designated area, wherein R represents the cost amount corresponding to unit layout of a power generation battery pack, R represents the set asset residual value of the power generation battery pack, g represents the set power generation discount rate, m represents the set allowable service life of the power generation battery pack, d represents the subsidy amount corresponding to unit power generation amount, q represents the sales amount corresponding to unit grid-connected electric quantity, and B represents the sales amount corresponding to unit grid-connected electric quantity i Is expressed as grid-connected electric quantity, s 'corresponding to the ith target analysis householder in the designated area' i And the area of a power generation battery pack is laid for the ith target analysis resident, K is set reference power generation return efficiency, and psi is set power generation return efficiency correction coefficient.
According to the embodiment of the invention, the return efficiency corresponding to each target analysis resident in the designated area is analyzed, so that the running return condition of the photovoltaic power generation system in the designated area is effectively reflected, a reliable direction is provided for the follow-up power grid operation manager to manage the photovoltaic power generation system, and the management efficiency of the photovoltaic power generation system in the designated area is greatly improved.
It should be further noted that the calculation formula of the comprehensive operation benefit index corresponding to the photovoltaic power generation system in the designated area is
Figure BDA0003641201050000162
Wherein, λ is expressed as a comprehensive operation benefit index of the photovoltaic power generation system corresponding to the designated area, μ 1, μ 2, and μ 3 are respectively set power generation benefits, transmission losses, and operation benefit influence weights corresponding to the power generation return efficiency, and values of μ 1, μ 2, and μ 3 are positive numbers.
The area information base is used for storing geographic information, meteorological information, set azimuth information and photovoltaic power generation related cost information corresponding to the designated area, wherein the geographic information corresponding to the designated area is longitude and latitude; the meteorological information is the annual average air temperature and the longest continuous overcast and rainy days; setting azimuth information as a power generation influence weight corresponding to each set residential azimuth; the photovoltaic power generation related expense information is cost amount corresponding to the area of a unit layout power generation battery pack, subsidy amount corresponding to unit power generation amount and sales amount corresponding to unit grid-connected electric quantity.
According to the embodiment of the invention, the basic information, the electric power information and the power generation environment information corresponding to residents respectively provided with the photovoltaic power generation systems in the designated area are acquired, so that the comprehensive operation benefits corresponding to the photovoltaic power generation systems in the designated area are analyzed, and through multi-dimensional data acquisition, on one hand, the problem that the monitoring parameters in the prior art are too limited is effectively solved, the comprehensiveness and the accuracy of the operation benefit analysis of the photovoltaic power generation systems in the designated area are greatly improved, on the other hand, the operation benefit state of the photovoltaic power generation systems in the designated area is visually displayed, great convenience is provided for the operation management of the photovoltaic power generation systems in the subsequent designated area, and the development of the management work of the photovoltaic power generation systems in the designated area is promoted.
The foregoing is merely exemplary and illustrative of the principles of the present invention and various modifications, additions and substitutions of the specific embodiments described herein may be made by those skilled in the art without departing from the principles of the present invention or exceeding the scope of the claims set forth herein.

Claims (10)

1. The utility model provides a new forms of energy operating system intelligent monitoring control management system based on artificial intelligence which characterized in that includes:
the system comprises a regional power generation basic information acquisition module, a regional power generation basic information acquisition module and a regional power generation basic information acquisition module, wherein the regional power generation basic information acquisition module is used for acquiring the number of residents in a specified region, recording the residents as target analysis residents, numbering each target analysis resident as 1,2,... i,. n in sequence, and acquiring basic power generation information corresponding to each target analysis resident;
the regional power information acquisition module is used for acquiring the generated energy and grid-connected electric quantity corresponding to each target analysis resident in the designated region according to a preset acquisition period, extracting a power grid-connected account from the basic power generation information corresponding to each target analysis resident, positioning the actual transmission electric quantity corresponding to each target analysis resident from a power grid management background based on the power grid-connected account corresponding to each target analysis resident, and taking the generated energy, the grid-connected electric quantity and the actual transmission electric quantity as the power information corresponding to each target analysis resident;
the regional power generation environment information acquisition module is used for acquiring corresponding power generation environment information in the designated region according to a preset acquisition period to obtain corresponding power generation environment information of the designated region in the preset acquisition period, wherein the power generation environment information comprises average illumination duration, average illumination intensity and overcast and rainy days;
the regional power grid information operation analysis module is used for analyzing the basic power generation information and the generated energy corresponding to the resident, the merging power grid amount, the actual transmission power amount and the corresponding power generation environment information in the designated region based on each target in the designated region, analyzing the comprehensive operation benefit corresponding to the photovoltaic power generation system in the designated region, outputting the comprehensive operation benefit index corresponding to the photovoltaic power generation system in the designated region, and displaying the comprehensive operation benefit index in a background;
and the area information base is used for storing geographic information, meteorological information, set azimuth information and photovoltaic power generation related cost information corresponding to the specified area.
2. The new energy operation system intelligent monitoring and management system based on artificial intelligence as claimed in claim 1, wherein: the basic power generation information corresponding to each target analysis resident is specifically a power grid-connected account number, a house orientation, a power generation battery pack layout area and a power generation battery pack layout shielding area corresponding to each target analysis resident.
3. The intelligent monitoring and monitoring management system for the new energy operating system based on the artificial intelligence as claimed in claim 1, characterized in that: the regional power grid information operation analysis module comprises a regional power grid generating efficiency analysis unit, a regional power grid power transmission loss analysis unit and a regional power grid return efficiency analysis unit.
4. The new energy operation system intelligent monitoring and management system based on artificial intelligence as claimed in claim 3, wherein: the regional power grid power generation efficiency analysis unit is used for analyzing the power generation efficiency corresponding to the photovoltaic power generation system arranged by each target analysis user in the designated region, and the specific analysis process comprises the following steps:
step 1, positioning the area of a distributed power generation battery pack corresponding to each target analysis resident from the basic power generation information corresponding to each target analysis resident, calculating to obtain the set power generation amount corresponding to each target analysis resident, and recording as Q i Preset Wherein i represents a number corresponding to each target analysis resident, i is 1, 2.
Step 2, positioning the corresponding generated energy of each target analysis resident in a preset acquisition period from the corresponding electric power information of each target analysis resident, and recording the generated energy as Q i ′；
Step 3, calculating and obtaining the corresponding power generation environment influence weight in the appointed area in the preset acquisition period based on the corresponding power generation environment information of the appointed area in the preset acquisition period, and recording the weight as epsilon;
step 4, based on the basic power generation information corresponding to each target analysis resident, calculating to obtain the residential environment influence weight of each target analysis resident, and recording the residential environment influence weight as eta i ；
Step 5, based on the set generated energy corresponding to each target analysis resident, the generated energy corresponding to each target analysis resident in the preset acquisition period, the power generation environment influence weight corresponding to the designated area in the preset acquisition period and the power generation shielding influence weight corresponding to each target analysis resident, calculating to obtain the power generation efficiency index corresponding to the designated area, wherein the specific calculation formula is
Figure FDA0003641201040000031
Wherein FX is expressed as a generation efficiency index corresponding to a designated area, and t is expressed asAnd setting the number of days corresponding to the collection period, wherein delta Q represents the set allowable power generation difference, and sigma represents the set power generation efficiency influence coefficient.
5. The new energy operation system intelligent monitoring and management system based on artificial intelligence as claimed in claim 4, wherein: the specific calculation process of the power generation environment influence weight corresponding to the designated area in the preset acquisition period comprises the following steps:
locating the average illumination time length from the power generation environment information corresponding to the designated area in the preset acquisition period, and calculating by using a calculation formula to obtain the power generation influence weight corresponding to the illumination time length of the designated area in the preset acquisition period and marking as epsilon 1;
locating the average illumination intensity from the power generation environment information corresponding to the designated area in the preset acquisition period, and calculating by using a calculation formula to obtain the power generation influence weight corresponding to the illumination intensity of the designated area in the preset acquisition period and recording as epsilon 2;
positioning the number of rainy days from the power generation environment information corresponding to the designated area in the preset acquisition period, and calculating the power generation influence weight corresponding to the number of rainy days in the preset acquisition period by using a calculation formula and recording as epsilon 3;
substituting calculation formula based on power generation influence weights corresponding to illumination duration, illumination intensity and rainy days in preset acquisition period of designated area
Figure FDA0003641201040000041
In the method, the corresponding power generation environment influence weight in the preset acquisition period in the designated area is obtained, and a1, a2 and a3 are respectively expressed as preset compensation factors corresponding to the illumination duration, the illumination intensity and the rainy weather.
6. The new energy operation system intelligent monitoring and management system based on artificial intelligence as claimed in claim 1, wherein: the specific calculation process of the residential environment influence weight of each target analysis resident is as follows:
from each objectAnd (4) analyzing basic power generation information corresponding to residents, positioning the area of the distributed power generation battery pack and the area of a shielded area of the distributed power generation battery pack, further calculating the ratio of the shielded area corresponding to the distributed power generation battery pack of each target analysis resident, and recording the ratio as p i ；
Substituting the shielding area ratio corresponding to the power generation battery set arranged by each target analysis resident into a calculation formula
Figure FDA0003641201040000042
Obtaining the power generation influence weight of the shielding area corresponding to the power generation battery pack corresponding to each target analysis user, wherein p' is the set allowable shielding area ratio of the power generation battery pack;
the residence orientation is positioned from the basic power generation information corresponding to each target analysis resident, and further, the power generation influence weight corresponding to the residence orientation corresponding to each target analysis resident is positioned from the regional information base and is recorded as beta i ；
Based on the power generation influence weight of the sheltered area corresponding to the power generation battery pack corresponding to each target analysis user and the power generation influence weight corresponding to the housing orientation, the housing environment influence weight of each target analysis user is calculated and obtained, and the specific calculation formula is
Figure FDA0003641201040000043
Here, b1 and b2 are expressed as ratio weights corresponding to the battery pack shading area and the housing orientation, respectively, and b1+ b2 is 1.
7. The new energy operation system intelligent monitoring and management system based on artificial intelligence as claimed in claim 1, wherein: the regional power grid power transmission loss analysis unit is used for analyzing the corresponding power transmission loss in the designated region, and the specific analysis process is as follows: locating the grid-connected electric quantity and the actual transmission electric quantity corresponding to each target analysis resident from the electric power information corresponding to each target analysis resident, and calculating the difference value of the grid-connected electric quantity and the actual transmission electric quantity corresponding to each target analysis resident to obtain the grid-connected electric quantity of each target analysis resident and the grid-connected electric quantity thereofAnd (3) recording the difference value between the actual transmission electric quantities as a transmission loss electric quantity value, and substituting the transmission loss electric quantity value corresponding to each target analysis household into a calculation formula
Figure FDA0003641201040000051
In the method, the power transmission loss index, delta h, corresponding to the designated area is obtained i Expressed as a transmission loss electric quantity value corresponding to the ith target analysis resident, Δ h' is expressed as a set allowable loss electric quantity difference, e is expressed as a natural number,
Figure FDA0003641201040000052
and transmitting the loss compensation coefficient for the set power grid.
8. The intelligent monitoring and monitoring management system for the new energy operating system based on the artificial intelligence as claimed in claim 1, characterized in that: the regional power grid return efficiency analysis unit is used for analyzing the power generation return efficiency corresponding to each target analysis resident in the designated region, and the specific analysis process comprises the following steps:
positioning geographic information from a regional information base, wherein the geographic information is longitude and latitude corresponding to a designated region, and calculating to obtain power generation return efficiency influence weight corresponding to the geographic information of the designated region by using a calculation formula, and recording the power generation return efficiency influence weight as delta;
positioning weather information from a region information base, wherein the weather information is the annual average temperature and the longest continuous rainy days corresponding to a specified region, and calculating by using a calculation formula to obtain the power generation return efficiency influence weight corresponding to the weather information of the specified region and recording as phi;
locating photovoltaic power generation related expense information from an area information base, wherein the photovoltaic power generation related expense information comprises cost amount corresponding to the area of a unit of laid power generation battery pack, subsidy amount corresponding to unit power generation amount and sales amount corresponding to unit grid-connected electric quantity;
generating power corresponding to the photovoltaic power generation related cost information, the geographic information and the meteorological information of the designated area corresponding to the designated areaSubstituting the weight of the influence of the return efficiency into a calculation formula
Figure FDA0003641201040000061
Obtaining a power generation return efficiency index corresponding to a designated area, wherein R represents the cost amount corresponding to unit layout of a power generation battery pack, R represents the set asset residual value of the power generation battery pack, g represents the set power generation discount rate, m represents the set allowable service life of the power generation battery pack, d represents the subsidy amount corresponding to unit power generation amount, q represents the sales amount corresponding to unit grid-connected electric quantity, and B represents the sales amount corresponding to unit grid-connected electric quantity i Is expressed as grid-connected electric quantity, s 'corresponding to the ith target analysis householder in the designated area' i And the area of a power generation battery pack is laid for the ith target analysis resident, K is set reference power generation return efficiency, and psi is set power generation return efficiency correction coefficient.
9. The new energy operation system intelligent monitoring and management system based on artificial intelligence as claimed in claim 1, wherein: the comprehensive operation benefit index calculation formula corresponding to the photovoltaic power generation system in the designated area is
Figure FDA0003641201040000062
Wherein, λ is expressed as a comprehensive operation benefit index of the photovoltaic power generation system corresponding to the designated area, μ 1, μ 2, and μ 3 are respectively set power generation benefits, transmission losses, and operation benefit influence weights corresponding to the power generation return efficiency, and values of μ 1, μ 2, and μ 3 are positive numbers.
10. The intelligent monitoring and monitoring management system for the new energy operating system based on the artificial intelligence as claimed in claim 1, characterized in that: the geographic information corresponding to the designated area is longitude and latitude; the meteorological information is the annual average air temperature and the longest continuous rainy days; setting azimuth information as a power generation influence weight corresponding to each set residential azimuth; the photovoltaic power generation related expense information is cost amount corresponding to the area of a unit layout power generation battery pack, subsidy amount corresponding to unit power generation amount and sales amount corresponding to unit grid-connected electric quantity.
CN202210519882.7A 2022-05-12 2022-05-12 New energy operation system intelligent monitoring management system based on artificial intelligence Pending CN114938071A (en)

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CN116054410A (en) * 2023-02-16 2023-05-02 深圳市旭锦科技有限公司 Power supply control system and method based on Internet of things
CN116054410B (en) * 2023-02-16 2023-08-08 深圳市旭锦科技有限公司 Power supply control system and method based on Internet of things
CN116093959A (en) * 2023-04-12 2023-05-09 江苏通球建筑科技有限公司 Power load energy storage and power supply management system
CN116128167A (en) * 2023-04-17 2023-05-16 江苏图南数字科技有限公司 Distributed photovoltaic power generation analysis method based on cloud computing real-time monitoring
CN116128167B (en) * 2023-04-17 2023-06-16 江苏图南数字科技有限公司 Distributed photovoltaic power generation analysis method based on cloud computing real-time monitoring
CN116545105A (en) * 2023-04-19 2023-08-04 广东大能环保集团有限公司 Energy storage battery charge and discharge monitoring management system
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