CN113935856A - Method and device for controlling electric energy, processor and computer readable storage medium - Google Patents
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Abstract
The invention discloses a control method of electric energy, a device thereof, a processor and a computer readable storage medium. Wherein, the method comprises the following steps: acquiring first characteristic information; analyzing the first characteristic information to obtain an analysis result; determining a target power utilization strategy based on the analysis result; and performing power utilization regulation on the power utilization equipment based on the target power utilization strategy. The invention solves the technical problems that the electricity price and the environmental information are not comprehensively obtained, unreasonable electricity utilization is easy to occur and further electric energy is wasted in the prior art.
Description
Technical Field
The invention relates to the field of smart power grids, in particular to a control method of electric energy, a device, a processor and a computer readable storage medium thereof.
Background
The existing power grid system is mainly based on traditional power generation, and realizes the power balance of 'source follow-up load' by the accurate control of a power supply end. The characteristics of intermittency, volatility and randomness of new energy power generation are obvious, and the high proportion of the new energy power generation is accessed into a power grid system, so that the power grid system is required to be intelligentized and have fundamental changes in flexibility. Furthermore, the distributed power supply at the user side is widely connected, the electricity consumption at the demand side is flexible and variable, and the like, the power grid needs to schedule both the supply side and the user side, and the operation mechanism is changed from turning over. The integration of source network and storage has been started, and may become the most vivid feature of the power grid, but the realization path may be frustrated and complicated.
Meanwhile, according to price or incentive measures, power users change power consumption behaviors and reduce (increase) power consumption, so that power supply and demand balance is promoted, stable operation of a power grid is guaranteed, and smooth operation of power in summer at peak time is guaranteed. Under the condition that the power supply side and the power grid resources are fully utilized at present, how to reasonably utilize the load side resources becomes a key link for source grid load storage cooperative interaction and new energy consumption promotion, and the problem to be solved is urgent.
In view of the above problems, no effective solution has been proposed.
Disclosure of Invention
The embodiment of the invention provides an electric energy control method and device, a processor and a computer readable storage medium thereof, which are used for at least solving the technical problems that in the prior art, the electricity price and the environmental information are not comprehensively obtained, and unreasonable electricity consumption is easy to occur, so that the electric energy is wasted.
According to an aspect of an embodiment of the present invention, there is provided a method for controlling electric energy, including: acquiring first characteristic information; analyzing the first characteristic information to obtain an analysis result; determining a target power utilization strategy based on the analysis result; and carrying out power utilization regulation on the power utilization equipment based on the target power utilization strategy.
Optionally, the obtaining of the first feature information includes: collecting environment characteristic information and electricity price related information; inputting the environmental characteristic information into a predetermined model, and obtaining the output of the predetermined model to obtain environmental prediction information, wherein the predetermined model is obtained by using multiple sets of training data through machine learning training, and each set of training data in the multiple sets of training data comprises: historical environmental characteristic information and historical environmental prediction information corresponding to the historical environmental characteristic information; and processing the environment prediction information and the electricity price related information to obtain the first characteristic information.
Optionally, the environmental characteristic information includes: temperature, illumination intensity, rainfall, current photovoltaic energy storage surplus and current heat energy storage surplus.
Optionally, the electricity price related information includes: current electricity price, power plant subsidy information, and power consumption gradient information.
Optionally, analyzing the first feature information to obtain an analysis result, including: screening the first characteristic information by using a first preset algorithm to obtain second characteristic information; resolving the second characteristic information by using a second predetermined algorithm to obtain third characteristic information; and carrying out cost analysis on the third characteristic information and obtaining an analysis result.
Optionally, determining a target power utilization policy based on the analysis result includes: carrying out cost calculation on the analysis result to obtain a cost calculation result; and determining the target power utilization strategy based on the cost calculation result.
Optionally, after the power consumption of the power-consuming equipment is adjusted based on the target power consumption policy, the method for controlling the power further includes: and storing the target electricity utilization strategy in a database.
Optionally, the controlling of the electrical energy further comprises: and monitoring the electricity utilization of the area where the electric equipment is located.
According to another aspect of the embodiments of the present invention, there is also provided a control apparatus of electric energy, including: the acquisition module is used for acquiring first characteristic information; the analysis module is used for analyzing the first characteristic information to obtain an analysis result; the determining module is used for determining a target power utilization strategy based on the analysis result; and the adjusting module is used for adjusting the power utilization of the power utilization equipment based on the target power utilization strategy.
Optionally, the obtaining module includes: the collecting unit is used for collecting environmental characteristic information and electricity price related information; an input unit, configured to input the environmental characteristic information into a predetermined model, and obtain an output of the predetermined model to obtain environmental prediction information, where the predetermined model is obtained by machine learning training using multiple sets of training data, and each of the multiple sets of training data includes: historical environmental characteristic information and historical environmental prediction information corresponding to the historical environmental characteristic information; and the processing unit is used for processing the environment prediction information and the electricity price related information to obtain the first characteristic information.
Optionally, the environmental characteristic information includes: temperature, illumination intensity, rainfall, current photovoltaic energy storage surplus and current heat energy storage surplus.
Optionally, the electricity price related information includes: current electricity price, power plant subsidy information, and power consumption gradient information.
Optionally, the analysis module comprises: the screening unit is used for screening the first characteristic information by using a first preset algorithm and obtaining second characteristic information; the calculating unit is used for calculating the second characteristic information by using a second preset algorithm to obtain third characteristic information; and the analysis unit is used for carrying out cost analysis on the third characteristic information and obtaining an analysis result.
Optionally, the determining module includes: the calculating unit is used for calculating the cost of the analysis result and obtaining a cost calculation result; and the determining unit is used for determining the target power utilization strategy based on the cost calculation result.
Optionally, the control device of electric energy further comprises: and the storage module is used for storing the target electricity utilization strategy into a database after the electricity utilization of the electric equipment is adjusted based on the target electricity utilization strategy.
Optionally, the control device of electric energy further comprises: and the monitoring module is used for monitoring the electricity utilization of the area where the electric equipment is located.
According to another aspect of the embodiments of the present invention, there is also provided a computer-readable storage medium including a stored computer program, wherein when the computer program is executed by a processor, the apparatus in which the computer-readable storage medium is located is controlled to execute any one of the above methods for controlling electric energy.
According to another aspect of the embodiments of the present invention, there is also provided a processor, configured to execute a computer program, where the computer program executes to execute the control method of electric energy according to any one of the above.
In the embodiment of the invention, first characteristic information is obtained; analyzing the first characteristic information to obtain an analysis result; determining a target power utilization strategy based on the analysis result; and performing power utilization regulation on the power utilization equipment based on the target power utilization strategy. By the electric energy control method provided by the embodiment of the invention, the purposes of analyzing and determining the power utilization strategy based on the acquired first characteristic information and adjusting the electric energy by utilizing the strategy are achieved, so that the technical effect of improving the electric energy utilization efficiency is realized, and the technical problems that the electric price and the environmental information are not comprehensively acquired, the unreasonable power utilization is easy to occur and the electric energy is wasted in the prior art are solved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention without limiting the invention. In the drawings:
fig. 1 is a flowchart of a control method of electric energy according to an embodiment of the present invention;
FIG. 2 is a functional architecture diagram of a power demand side management system according to an embodiment of the present invention;
FIG. 3 is a block diagram of a multi-energy complementary power demand side energy management system according to an embodiment of the present invention;
fig. 4 is a schematic diagram of a control method of electric energy according to an embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Example 1
In accordance with an embodiment of the present invention, there is provided a method embodiment of a method for controlling electrical energy, it being noted that the steps illustrated in the flowchart of the figure may be performed in a computer system, such as a set of computer-executable instructions, and that while a logical order is illustrated in the flowchart, in some cases the steps illustrated or described may be performed in an order different than presented herein.
Fig. 1 is a flowchart of a control method of electric energy according to an embodiment of the present invention, as shown in fig. 1, the method including the steps of:
step S102, first characteristic information is obtained.
Optionally, in the above step, the first characteristic information is collected weather information, energy prediction information, and information related to electricity price. The energy prediction information is prediction information of thermal energy storage based on factors such as weather and prediction information of cold and heat loads.
And step S104, analyzing the first characteristic information to obtain an analysis result.
Optionally, in the above step, the obtained first feature information is analyzed, wherein the main means is to screen feature data, including but not limited to: removing data with larger errors and error data, and calculating the operation mode of the prediction system by using a digital twin algorithm.
And step S106, determining a target power utilization strategy based on the analysis result.
Optionally, in the above step, the power utilization policy is determined based on the analyzed result, so that the power utilization policy has data support and is more reliable.
And S108, carrying out power utilization regulation on the electric equipment based on the target power utilization strategy.
As can be seen from the above, in the embodiment of the present invention, first, the first feature information may be obtained; then, analyzing the first characteristic information to obtain an analysis result; then, based on the analysis result, determining a target power utilization strategy; and finally, carrying out power utilization regulation on the power utilization equipment based on the target power utilization strategy. By the electric energy control method provided by the embodiment of the invention, the purposes of analyzing and determining the power utilization strategy based on the acquired first characteristic information and adjusting the electric energy by utilizing the strategy are achieved, so that the technical effect of improving the electric energy utilization efficiency is realized, and the technical problems that the electric price and the environmental information are not comprehensively acquired, the unreasonable power utilization is easy to occur and the electric energy is wasted in the prior art are solved.
As an alternative embodiment, the obtaining the first feature information includes: collecting environment characteristic information and electricity price related information; inputting the environmental characteristic information into a predetermined model, and obtaining the output of the predetermined model to obtain environmental prediction information, wherein the predetermined model is obtained by using a plurality of groups of training data through machine learning training, and each group of training data in the plurality of groups of training data comprises: historical environmental characteristic information and historical environmental prediction information corresponding to the historical environmental characteristic information; and processing the environment prediction information and the electricity price related information to obtain first characteristic information.
As an alternative embodiment, the environment characteristic information includes: temperature, illumination intensity, rainfall, current photovoltaic energy storage surplus and current heat energy storage surplus.
As an alternative embodiment, the electricity price related information includes: current electricity price, power plant subsidy information, and power consumption gradient information.
As an alternative embodiment, analyzing the first feature information to obtain an analysis result includes: screening the first characteristic information by using a first preset algorithm to obtain second characteristic information; resolving the second characteristic information by using a second predetermined algorithm to obtain third characteristic information; and carrying out cost analysis on the third characteristic information and obtaining an analysis result.
In the above optional embodiment, first, the collected electricity price related information and the environmental information (i.e., the first characteristic information) are screened by using a first predetermined algorithm, and the data are sequentially subjected to classification processing, clustering processing and association processing, where the screening is to reject data with large errors and error data, such as temperature values and humidity values under sudden weather changes, and obviously unreasonable electricity price information. And then, resolving the screened data through a second preset algorithm, wherein the resolving is to solve the minimum value of the electricity consumption cost of the data so as to save the cost of the user.
It should be noted that the first predetermined algorithm includes, but is not limited to: decision tree algorithms, clustering algorithms, etc. The second predetermined algorithm includes, but is not limited to: retention assay, etc. The retention analysis method is an analysis model for analyzing the weight of data and the activity degree of a certain item of data.
As an alternative embodiment, the determining the target power utilization policy based on the analysis result includes: carrying out cost calculation on the analysis result to obtain a cost calculation result; and determining a target power utilization strategy based on the cost calculation result.
As an optional embodiment, after the power utilization regulation is performed on the power-consuming equipment based on the target power utilization policy, the method for controlling the power further includes: and storing the target electricity utilization strategy in a database.
In the above optional embodiment, after the power utilization of the power utilization equipment is adjusted, the target power utilization policy is stored, and if similar data scenes exist in the subsequent use, the policy is called from the database to save the calculation power; on the other hand, the power utilization strategy is stored and can be used as a sample set for training a machine learning model so as to train the machine learning model of the power utilization strategy with higher precision.
As an alternative embodiment, the controlling of the electrical energy further comprises: and monitoring the electricity utilization of the area where the electricity utilization equipment is located.
Fig. 2 is a functional architecture diagram of a power demand side management system according to an embodiment of the present invention, as shown in fig. 2, the information prediction and collection system is divided into an information prediction system and an information collection system, the information prediction system is provided with a weather and climate analysis monitoring device, analyzing a cold and hot load demand curve and a photovoltaic power generation curve of the heating, ventilating and air conditioning system according to weather and climate change, meanwhile, the cold, heat and electricity energy demand curve of the user can be predicted by combining the past large data of the electrical load of the national power grid, the real-time electricity price and peak-shaving subsidy information can be obtained according to the development and modification commission and scheduling system, and the information acquisition system can acquire cold and heat source cold/heat storage information and refrigeration/heat information of the heating and ventilation air conditioning system, heat storage and heating information of the domestic hot water system, electric trolley bus charging data and battery data, running water quantity, air quantity, temperature and room temperature information of the air conditioning tail end system (namely, first characteristic information is obtained). The communication transmission system transmits various collected information to the data processing system, the transmission modes comprise modes of power PLC, optical fiber, wireless, Ethernet and the like for transmission, then after the various information reaches the data processing system, the data processing system firstly stores the data, screens the data to eliminate data with large errors and error data, then performs data analysis and cloud computing or calculates the system operation mode by adopting a digital twin mode, the processing mode adopts an economic optimal mode and gives out safe operation effect evaluation of the mode, and finally, the processed data are transmitted again through communication to adjust a cold and heat source, domestic hot water, a tail end air conditioning system, an electric vehicle and a photovoltaic power feeding system.
Fig. 3 is a structural diagram of the multi-energy complementary power demand side energy management system according to the embodiment of the present invention, and as shown in fig. 3, the multi-energy complementary power demand side energy management system applies an integrated regulation and control system to perform optimal configuration of various resources, real-time interaction of a data acquisition and monitoring control system with a database and an energy management system, reasonable configuration of energy through resource calculation, real-time scheduling of each entity photovoltaic system, power system and heating, ventilation and air conditioning system, realization of services such as operation maintenance, energy efficiency management and reporting through a good human-computer interaction interface, and capability of performing an information remote transmission function.
As can be seen from the above, in the embodiment of the present invention, the multi-energy complementary power demand side management system provided in the embodiment of the present invention can perform electric energy usage according to the electricity price, reduce electric energy usage when the electricity price is high, increase electric energy usage when the electricity price is low, and reduce electric energy usage when the electricity price is high, but have a better effect of peak shifting and valley filling of the electricity price, and at the same time, can sell electricity and earn money when the electricity price is high, so as to save operation cost for home or stair customers, and have good economic benefits, and also have the following good social benefits: a. relieving the power supply gap during the peak period and the power grid regulation pressure during the valley period; b. the consumption of new energy is promoted, and the overall operation efficiency of the power system is improved; c. the energy structure is optimized, and the development is towards the direction of low carbon, green and environmental protection. For the power consumer: a. energy-saving and efficient energy using habits are cultivated; b. additional subsidies are obtained by saving energy; c. fully exerts the social benefit of the load resource.
Example 2
According to another aspect of the embodiment of the present invention, there is also provided a control apparatus of electric energy, and fig. 4 is a schematic diagram of a control method of electric energy according to an embodiment of the present invention, as shown in fig. 4, including: an acquisition module 41, an analysis module 43, a determination module 45, and an adjustment module 47. The control device of the electric energy will be explained below.
An obtaining module 41, configured to obtain the first feature information.
And the analysis module 43 is configured to analyze the first feature information to obtain an analysis result.
And the determining module 45 is used for determining the target power utilization strategy based on the analysis result.
And the adjusting module 47 is used for adjusting the power utilization of the power utilization equipment based on the target power utilization strategy.
It should be noted here that the acquiring module 41, the analyzing module 43, the determining module 45, and the adjusting module 47 correspond to steps S102 to S108 in embodiment 1, and the modules are the same as the corresponding steps in the implementation example and the application scenario, but are not limited to the disclosure in embodiment 1. It should be noted that the modules described above as part of an apparatus may be implemented in a computer system such as a set of computer-executable instructions.
As can be seen from the above, in the embodiment of the present invention, first, the obtaining module 41 may be used to obtain the first feature information; then, the analysis module 43 is used for analyzing the first characteristic information to obtain an analysis result; then, the determination module 45 is used for determining a target power utilization strategy based on the analysis result; and finally, the power utilization of the power utilization equipment is regulated by utilizing a regulating module 47 based on the target power utilization strategy. By the electric energy control device provided by the embodiment of the invention, the purposes of analyzing and determining the power utilization strategy based on the acquired first characteristic information and adjusting the electric energy by utilizing the strategy are achieved, so that the technical effect of improving the electric energy utilization efficiency is realized, and the technical problems that in the prior art, the electricity price and the environmental information are not comprehensively acquired, the electricity utilization is unreasonable and the electric energy is wasted are solved.
Optionally, the obtaining module includes: the collecting unit is used for collecting environmental characteristic information and electricity price related information; an input unit, configured to input the environmental characteristic information into a predetermined model, and obtain an output of the predetermined model to obtain environmental prediction information, where the predetermined model is obtained by machine learning training using multiple sets of training data, and each set of training data in the multiple sets of training data includes: historical environmental characteristic information and historical environmental prediction information corresponding to the historical environmental characteristic information; and the processing unit is used for processing the environment prediction information and the electricity price related information to obtain first characteristic information.
Optionally, the environmental characteristic information includes: temperature, illumination intensity, rainfall, current photovoltaic energy storage surplus and current heat energy storage surplus.
Optionally, the electricity price related information includes: current electricity price, power plant subsidy information, and power consumption gradient information.
Optionally, an analysis module comprising: the screening unit is used for screening the first characteristic information by using a first preset algorithm and obtaining second characteristic information; the calculating unit is used for calculating the second characteristic information by using a second preset algorithm to obtain third characteristic information; and the analysis unit is used for carrying out cost analysis on the third characteristic information and obtaining an analysis result.
Optionally, the determining module includes: the calculating unit is used for calculating the cost of the analysis result and obtaining a cost calculation result; and the determining unit is used for determining the target power utilization strategy based on the cost calculation result.
Optionally, the control device of electric energy further comprises: and the storage module is used for storing the target electricity utilization strategy to the database after the electricity utilization adjustment is carried out on the electricity utilization equipment based on the target electricity utilization strategy.
Optionally, the control device of electric energy further comprises: and the monitoring module is used for monitoring the electricity utilization of the area where the electric equipment is located.
Example 3
According to another aspect of the embodiments of the present invention, there is also provided a computer-readable storage medium including a stored computer program, wherein when the computer program is executed by a processor, the apparatus in which the computer-readable storage medium is located is controlled to execute the control method of electric energy of any one of the above.
Example 4
According to another aspect of the embodiments of the present invention, there is also provided a processor for executing a computer program, wherein the computer program executes to execute the control method of electric energy of any one of the above.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
In the above embodiments of the present invention, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed technology can be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units may be a logical division, and in actual implementation, there may be another division, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, units or modules, and may be in an electrical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present invention, and these modifications and decorations should also be regarded as the protection scope of the present invention.
Claims (10)
1. A method of controlling electrical energy, comprising:
acquiring first characteristic information;
analyzing the first characteristic information to obtain an analysis result;
determining a target power utilization strategy based on the analysis result;
and carrying out power utilization regulation on the power utilization equipment based on the target power utilization strategy.
2. The method of claim 1, wherein obtaining first feature information comprises:
collecting environment characteristic information and electricity price related information;
inputting the environmental characteristic information into a predetermined model, and obtaining the output of the predetermined model to obtain environmental prediction information, wherein the predetermined model is obtained by using multiple sets of training data through machine learning training, and each set of training data in the multiple sets of training data comprises: historical environmental characteristic information and historical environmental prediction information corresponding to the historical environmental characteristic information;
and processing the environment prediction information and the electricity price related information to obtain the first characteristic information.
3. The method of claim 2, wherein the environmental characteristic information comprises: temperature, illumination intensity, rainfall, current photovoltaic energy storage surplus and current heat energy storage surplus.
4. The method according to claim 2, wherein the electricity rate-related information includes: current electricity price, power plant subsidy information, and power consumption gradient information.
5. The method of claim 1, wherein analyzing the first feature information to obtain an analysis result comprises:
screening the first characteristic information by using a first preset algorithm to obtain second characteristic information;
resolving the second characteristic information by using a second predetermined algorithm to obtain third characteristic information;
and carrying out cost analysis on the third characteristic information and obtaining an analysis result.
6. The method of claim 1, wherein determining a target power usage policy based on the analysis comprises:
carrying out cost calculation on the analysis result to obtain a cost calculation result;
and determining the target power utilization strategy based on the cost calculation result.
7. The method of claim 1, wherein after the power usage adjustment of the powered device based on the target power usage policy, further comprising:
and storing the target electricity utilization strategy in a database.
8. The method of any one of claims 1 to 7, further comprising:
and monitoring the electricity utilization of the area where the electric equipment is located.
9. A control device for electrical energy, comprising:
the acquisition module is used for acquiring first characteristic information;
the analysis module is used for analyzing the first characteristic information to obtain an analysis result;
the determining module is used for determining a target power utilization strategy based on the analysis result;
and the adjusting module is used for adjusting the power utilization of the power utilization equipment based on the target power utilization strategy.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium comprises a stored computer program, wherein the computer program, when executed by a processor, controls an apparatus in which the computer-readable storage medium is located to perform the method for controlling electrical energy according to any one of the preceding claims 1 to 7.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115031288A (en) * | 2022-06-14 | 2022-09-09 | 国网北京市电力公司 | Equipment state analysis method and device and computer readable storage medium |
| CN115829134A (en) * | 2022-12-08 | 2023-03-21 | 国网山东省电力公司临沂供电公司 | Power supply scheduling method and system oriented to source network load uncertainty |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115031288A (en) * | 2022-06-14 | 2022-09-09 | 国网北京市电力公司 | Equipment state analysis method and device and computer readable storage medium |
| CN115829134A (en) * | 2022-12-08 | 2023-03-21 | 国网山东省电力公司临沂供电公司 | Power supply scheduling method and system oriented to source network load uncertainty |
| CN115829134B (en) * | 2022-12-08 | 2023-10-10 | 国网山东省电力公司临沂供电公司 | Power supply scheduling method and system for uncertainty of source network load |
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