CN117996785A - New energy device self-adaptive frequency modulation method, system and medium - Google Patents
New energy device self-adaptive frequency modulation method, system and medium Download PDFInfo
- Publication number
- CN117996785A CN117996785A CN202410225874.0A CN202410225874A CN117996785A CN 117996785 A CN117996785 A CN 117996785A CN 202410225874 A CN202410225874 A CN 202410225874A CN 117996785 A CN117996785 A CN 117996785A
- Authority
- CN
- China
- Prior art keywords
- frequency modulation
- real
- time
- data
- new energy
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 52
- 230000000694 effects Effects 0.000 claims abstract description 56
- 230000003044 adaptive effect Effects 0.000 claims abstract description 43
- 238000004146 energy storage Methods 0.000 claims description 24
- 238000005516 engineering process Methods 0.000 abstract description 3
- 238000005457 optimization Methods 0.000 description 4
- 238000009434 installation Methods 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 230000007613 environmental effect Effects 0.000 description 1
- 230000006870 function Effects 0.000 description 1
Classifications
-
- 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
- H02J3/24—Arrangements for preventing or reducing oscillations of power in networks
- H02J3/241—The oscillation concerning frequency
Landscapes
- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Supply And Distribution Of Alternating Current (AREA)
Abstract
本申请实施例提供了一种新能源装置自适应调频方法、系统和介质。该方法包括：通过获取新能源装置的标准工作信息和实时工作信息，并分别提取标准工作特征数据和实时工作特征数据，根据预设第一时间周期获取第一预设数量的实时工作特征数据，计算获得有效频率波动指数并判断调频需求状态，然后根据调频需求状态，通过新能源装置的特征数据计算获得实时调频需求数据，根据预设第二时间周期计算所述实时调频需求数据并据此获得有效调频需求数据，根据实时工作特征数据计算获得调频方式参数，进而得到调频指令数据，根据调频指令数据对应获得调频方案并执行相应操作，最后根据调频后的实时优化工作特征数据处理获得调频操作效果的技术。
The embodiment of the present application provides a method, system and medium for adaptive frequency modulation of a new energy device. The method includes: obtaining standard working information and real-time working information of the new energy device, and extracting standard working characteristic data and real-time working characteristic data respectively, obtaining a first preset number of real-time working characteristic data according to a preset first time period, calculating and obtaining an effective frequency fluctuation index and judging the frequency modulation demand state, and then according to the frequency modulation demand state, calculating and obtaining real-time frequency modulation demand data through characteristic data of the new energy device, calculating the real-time frequency modulation demand data according to a preset second time period and obtaining effective frequency modulation demand data accordingly, calculating and obtaining frequency modulation mode parameters according to the real-time working characteristic data, and then obtaining frequency modulation instruction data, obtaining a frequency modulation scheme according to the frequency modulation instruction data and performing corresponding operations, and finally obtaining a technology for frequency modulation operation effect according to the real-time optimized working characteristic data after frequency modulation.
Description
Technical Field
The application relates to the field of new energy devices, in particular to a new energy device self-adaptive frequency modulation method, a system and a medium.
Background
Along with the increasing severity of energy crisis and environmental problems, new energy technologies are widely applied and developed, and in the energy composition proportion, the proportion of new energy is also increasing. Along with the rapid development of new energy, corresponding problems also appear. In the new energy device, there may be unbalance between the output power and the load power of the device due to the influence of various factors, and thus the frequency of the new energy device may be changed, thereby affecting the stability and reliability of the system. Therefore, how to realize the self-adaptive frequency modulation of the new energy device and improve the stability and reliability of the device is a problem to be solved in the current new energy technical field.
In view of the above problems, an effective technical solution is currently needed.
Disclosure of Invention
The application aims to provide a new energy device self-adaptive frequency modulation method, system and medium, which are capable of obtaining an effective frequency fluctuation index and judging a frequency modulation demand state according to a preset first time period by obtaining standard working information and real-time working information of a new energy device, respectively extracting standard working characteristic data and real-time working characteristic data, obtaining real-time working characteristic data of a first preset number according to a preset first time period, obtaining real-time frequency modulation demand data according to the frequency modulation demand state by calculating the characteristic data of the new energy device, obtaining the effective frequency modulation demand data according to the real-time frequency modulation demand data by calculating the characteristic data of the new energy device, obtaining frequency modulation mode parameters according to the real-time working characteristic data, further obtaining frequency modulation instruction data, correspondingly obtaining a frequency modulation scheme according to the frequency modulation instruction data, executing corresponding operation, and finally obtaining a frequency modulation operation effect according to real-time optimized working characteristic data processing after frequency modulation.
The application also provides a self-adaptive frequency modulation method of the new energy device, which comprises the following steps:
Standard working information and real-time working information of the new energy device are obtained, and standard working characteristic data and real-time working characteristic data are extracted respectively;
Acquiring a first preset number of real-time working characteristic data according to a preset first time period, calculating to acquire an effective frequency fluctuation index and judging a frequency modulation demand state;
According to the frequency modulation demand state, calculating and obtaining real-time frequency modulation demand data of the new energy device through the standard working characteristic data and the real-time working characteristic data;
calculating the real-time frequency modulation demand data according to a preset second time period, obtaining a second preset number of the real-time frequency modulation demand data, and calculating to obtain effective frequency modulation demand data;
Calculating according to the real-time working characteristic data to obtain frequency modulation mode parameters, and comparing the effective frequency modulation demand data with the frequency modulation mode parameters to obtain frequency modulation instruction data;
obtaining a frequency modulation scheme according to the frequency modulation instruction data and executing corresponding operation;
And acquiring real-time optimized working characteristic data after frequency modulation operation, combining the standard working characteristic data, processing to acquire a frequency modulation operation effect index, and acquiring a frequency modulation operation effect.
Optionally, in the new energy device adaptive frequency modulation method of the present application, the obtaining standard working information and real-time working information of the new energy device, and extracting standard working feature data and real-time working feature data respectively specifically includes:
Standard working information of the new energy device is obtained, and standard working characteristic data including standard frequency data and standard energy storage data are extracted;
and acquiring real-time working information of the new energy device, and extracting real-time working characteristic data, wherein the real-time working characteristic data comprise real-time active power, real-time load power and real-time highest available active power of the new energy.
Optionally, in the adaptive frequency modulation method of a new energy device of the present application, the acquiring the real-time working characteristic data of the first preset number according to the preset first time period, calculating to obtain an effective frequency fluctuation index, and judging a frequency modulation requirement state specifically includes:
Acquiring a first preset number of real-time active power and real-time load power of the new energy according to a preset first time period;
comparing the real-time active power of the new energy with the real-time load power to obtain corresponding real-time frequency data;
processing according to the first preset number of real-time frequency data and standard frequency data to obtain an effective frequency fluctuation index;
comparing the effective frequency fluctuation index with a preset frequency modulation requirement threshold value to obtain frequency modulation requirement state data;
and correspondingly obtaining the frequency modulation demand state according to the frequency modulation demand state data, wherein the frequency modulation demand state comprises the frequency modulation demand state and the frequency modulation unnecessary state.
Optionally, in the adaptive frequency modulation method of a new energy device according to the present application, the calculating according to the frequency modulation demand state according to the standard working characteristic data and the real-time working characteristic data to obtain the real-time frequency modulation data of the new energy device specifically includes:
If the frequency modulation demand state is that frequency modulation is needed, calculating according to the standard frequency data, the real-time active power of the new energy and the real-time load power to obtain real-time frequency modulation data of the new energy device;
The calculation formula of the real-time frequency modulation demand data of the new energy device is as follows:
Wherein, T x is real-time fm demand data, S y is real-time active power of the new energy, S f is real-time load power, and B p is standard frequency data.
Optionally, in the adaptive frequency modulation method of a new energy device of the present application, the calculating the real-time frequency modulation demand data according to a preset second time period, obtaining a second preset number of the real-time frequency modulation demand data, and calculating to obtain effective frequency modulation demand data specifically includes:
The new energy device calculates and obtains the real-time frequency modulation demand data according to a preset second time period;
Acquiring a second preset number of the real-time frequency modulation demand data and calculating to acquire effective frequency modulation demand data;
the calculation formula of the effective frequency modulation demand data is as follows:
Wherein Y x is effective fm demand data, T xi is the ith real-time fm demand data, and n is a second predetermined amount.
Optionally, in the adaptive frequency modulation method of a new energy device of the present application, the calculating according to the real-time working characteristic data obtains a frequency modulation mode parameter, and comparing the effective frequency modulation demand data with the frequency modulation mode parameter to obtain frequency modulation instruction data specifically includes:
Obtaining frequency modulation mode parameters including a first parameter and a second parameter according to the real-time highest active power, the real-time active power of the new energy source and the real-time load power;
The first parameter is the difference between the real-time highest available active power and the real-time active power of the new energy, and the second parameter is the difference between the real-time highest available active power and the standard energy storage data after being added and then the real-time highest available active power and the real-time active power of the new energy;
and comparing the effective frequency modulation demand data with the first parameter and the second parameter respectively to obtain frequency modulation instruction data.
Optionally, in the new energy device adaptive frequency modulation method of the present application, the obtaining a frequency modulation scheme according to the frequency modulation instruction data and executing a corresponding operation specifically includes:
Obtaining a frequency modulation scheme according to the frequency modulation instruction data, wherein the frequency modulation scheme comprises self-adaptive frequency modulation, energy storage frequency modulation and grid-connected frequency modulation;
and according to the frequency modulation scheme, frequency modulation is carried out on the new energy device, and the corresponding frequency modulation scheme is output to a display.
Optionally, in the adaptive frequency modulation method of a new energy device of the present application, the obtaining real-time optimized working characteristic data after frequency modulation operation, combining the standard working characteristic data, processing to obtain a frequency modulation operation effect index, and obtaining a frequency modulation operation effect specifically includes:
acquiring real-time optimized working characteristic data after frequency modulation operation, wherein the real-time optimized working characteristic data comprises real-time optimized active power of new energy and latest load data;
Dividing the real-time optimized active power of the new energy source by the latest load data to obtain optimized frequency data;
dividing the optimized frequency data with the standard frequency data to obtain a frequency modulation operation effect index;
And comparing the frequency modulation operation effect index with a preset frequency modulation effect threshold value to obtain a frequency modulation operation effect.
In a second aspect, the present application provides a new energy device adaptive frequency modulation system, the system comprising: the device comprises a memory and a processor, wherein the memory comprises a program of a new energy device self-adaptive frequency modulation method, and the program of the new energy device self-adaptive frequency modulation method realizes the following steps when being executed by the processor:
Standard working information and real-time working information of the new energy device are obtained, and standard working characteristic data and real-time working characteristic data are extracted respectively;
Acquiring a first preset number of real-time working characteristic data according to a preset first time period, calculating to acquire an effective frequency fluctuation index and judging a frequency modulation demand state;
According to the frequency modulation demand state, calculating and obtaining real-time frequency modulation demand data of the new energy device through the standard working characteristic data and the real-time working characteristic data;
calculating the real-time frequency modulation demand data according to a preset second time period, obtaining a second preset number of the real-time frequency modulation demand data, and calculating to obtain effective frequency modulation demand data;
Calculating according to the real-time working characteristic data to obtain frequency modulation mode parameters, and comparing the effective frequency modulation demand data with the frequency modulation mode parameters to obtain frequency modulation instruction data;
obtaining a frequency modulation scheme according to the frequency modulation instruction data and executing corresponding operation;
And acquiring real-time optimized working characteristic data after frequency modulation operation, combining the standard working characteristic data, processing to acquire a frequency modulation operation effect index, and acquiring a frequency modulation operation effect.
In a third aspect, the present application further provides a readable storage medium, where the readable storage medium includes a new energy device adaptive frequency modulation method program, where the new energy device adaptive frequency modulation method program, when executed by a processor, implements a new energy device adaptive frequency modulation method according to any one of the above steps.
From the above, the new energy device self-adaptive frequency modulation method, system and medium provided by the application. According to the method, standard working information and real-time working information of a new energy device are obtained, standard working characteristic data and real-time working characteristic data are respectively extracted, a first preset number of real-time working characteristic data are obtained according to a preset first time period, an effective frequency fluctuation index is calculated and obtained, a frequency modulation demand state is judged, then real-time frequency modulation demand data are obtained according to the frequency modulation demand state through characteristic data calculation of the new energy device, the real-time frequency modulation demand data are calculated according to a preset second time period, the effective frequency modulation demand data are obtained according to the preset second time period, frequency modulation mode parameters are obtained according to the real-time working characteristic data, frequency modulation instruction data are further obtained, a frequency modulation scheme is correspondingly obtained according to the frequency modulation instruction data, corresponding operation is carried out, and finally a frequency modulation operation effect is obtained according to real-time optimized working characteristic data processing after frequency modulation.
Additional features and advantages of the application will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the application. The objectives and other advantages of the application may be realized and attained by the structure particularly pointed out in the written description and drawings.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the embodiments of the present application will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and should not be considered as limiting the scope, and other related drawings can be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a new energy device adaptive frequency modulation method according to an embodiment of the present application;
FIG. 2 is a flow chart of a method for adaptive frequency modulation of a new energy device according to an embodiment of the present application;
fig. 3 is a flowchart of a new energy device adaptive frequency modulation method for obtaining effective frequency modulation requirement data according to an embodiment of the present application.
Fig. 4 is a flowchart of obtaining frequency modulation instruction data according to a new energy device adaptive frequency modulation method according to an embodiment of the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present application, but not all embodiments. The components of the embodiments of the present application generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the application, as presented in the figures, is not intended to limit the scope of the application, as claimed, but is merely representative of selected embodiments of the application. All other embodiments, which can be made by a person skilled in the art without making any inventive effort, are intended to be within the scope of the present application.
It should be noted that: like reference numerals and letters denote like items in the following figures, and thus once an item is defined in one figure, no further definition or explanation thereof is necessary in the following figures. Meanwhile, in the description of the present application, the terms "first", "second", and the like are used only to distinguish the description, and are not to be construed as indicating or implying relative importance.
Referring to fig. 1, fig. 1 is a flowchart of a new energy device adaptive frequency modulation method according to some embodiments of the present application. The self-adaptive frequency modulation method of the new energy device is used in terminal equipment, such as a computer. The self-adaptive frequency modulation method of the new energy device comprises the following steps:
S11, acquiring standard working information and real-time working information of a new energy device, and respectively extracting standard working characteristic data and real-time working characteristic data;
s12, acquiring a first preset number of real-time working characteristic data according to a preset first time period, calculating to acquire an effective frequency fluctuation index and judging a frequency modulation demand state;
S13, calculating and obtaining real-time frequency modulation demand data of the new energy device according to the frequency modulation demand state through the standard working characteristic data and the real-time working characteristic data;
S14, calculating the real-time frequency modulation demand data according to a preset second time period, obtaining a second preset number of the real-time frequency modulation demand data, and calculating to obtain effective frequency modulation demand data;
s15, calculating and obtaining frequency modulation mode parameters according to the real-time working characteristic data, and comparing the effective frequency modulation demand data with the frequency modulation mode parameters to obtain frequency modulation instruction data;
s16, obtaining a frequency modulation scheme according to the frequency modulation instruction data and executing corresponding operation;
S17, acquiring real-time optimized working characteristic data after frequency modulation operation, combining the standard working characteristic data, processing to obtain a frequency modulation operation effect index, and obtaining a frequency modulation operation effect.
In order to achieve adaptive frequency modulation of the new energy device, standard working information and real-time working information of the new energy device are firstly acquired, standard working characteristic data and real-time working characteristic data are respectively extracted, in the operation of the new energy device, the frequency is dynamically changed, in order to better judge the frequency modulation requirement, a first preset number of real-time working characteristic data are acquired according to a preset first time period, an effective frequency fluctuation index is obtained through calculation, and the frequency modulation requirement state can be judged according to the comparison of the effective frequency fluctuation index and a preset threshold value, namely whether frequency modulation is required or not; judging whether to execute the frequency modulation operation or not according to the frequency modulation demand state, if so, calculating to obtain real-time frequency modulation demand data of the new energy device according to the standard work characteristic data and the real-time work characteristic data, wherein the real-time frequency modulation demand data of single time also has instability, calculating the real-time frequency modulation demand data according to a preset second time period for better determining the frequency modulation demand data, obtaining a second preset number of real-time frequency modulation demand data, and calculating to obtain effective frequency modulation demand data; after the effective frequency modulation demand data is obtained, a frequency modulation mode needs to be determined, so that frequency modulation mode parameters are obtained through calculation of real-time working characteristic data, the effective frequency modulation demand data is compared with the frequency modulation mode parameters to obtain frequency modulation instruction data, a frequency modulation scheme is further obtained, corresponding operation is carried out, after frequency modulation operation is carried out, real-time optimized working characteristic data is obtained, standard working characteristic data is combined, frequency modulation operation effect indexes are obtained through processing, and frequency modulation operation effects are obtained, wherein the frequency modulation operation effects comprise excellent, good and poor.
According to an embodiment of the present invention, the method for acquiring standard working information and real-time working information of a new energy device, and extracting standard working feature data and real-time working feature data respectively, specifically includes:
Standard working information of the new energy device is obtained, and standard working characteristic data including standard frequency data and standard energy storage data are extracted;
and acquiring real-time working information of the new energy device, and extracting real-time working characteristic data, wherein the real-time working characteristic data comprise real-time active power, real-time load power and real-time highest available active power of the new energy.
The new energy device has standard working parameters at the beginning of design and installation, standard working information of the new energy device is obtained, standard working characteristic data, namely standard data or design data working in a standard state, including standard frequency data and standard energy storage data, wherein the standard energy storage data refers to the standard data of an energy storage device matched with the new energy device; in the operation process of the new energy device, some parameters are changed in real time, so that the real-time working information of the new energy device needs to be acquired and real-time working characteristic data is extracted, wherein the real-time working information comprises real-time active power, real-time load power and real-time available highest active power, the real-time active power refers to the real-time output active power value of the new energy device, the real-time load power refers to the dynamic load power of the new energy device, and the real-time available highest active power is the highest active power which can be provided by the new energy device at the moment under the condition.
Referring to fig. 2, fig. 2 is a flowchart of a new energy device adaptive frequency modulation method for determining a frequency modulation requirement state according to an embodiment of the present application. According to an embodiment of the present application, the acquiring a first preset number of the real-time working characteristic data according to a preset first time period, calculating to obtain an effective frequency fluctuation index, and judging a frequency modulation demand state specifically includes:
s21, acquiring a first preset number of real-time active power and real-time load power of the new energy according to a preset first time period;
S22, comparing the real-time active power of the new energy with the real-time load power to obtain corresponding real-time frequency data;
S23, processing according to the first preset number of real-time frequency data and standard frequency data to obtain an effective frequency fluctuation index;
s24, comparing the effective frequency fluctuation index with a preset frequency modulation requirement threshold value to obtain frequency modulation requirement state data;
S25, obtaining the frequency modulation demand state according to the frequency modulation demand state data, wherein the frequency modulation demand state comprises frequency modulation and frequency modulation not required.
The method comprises the steps of obtaining a first preset quantity of real-time active power and real-time load power of new energy according to a preset first time period during operation, dividing the real-time active power of the new energy by the real-time load power according to user requirements to obtain corresponding real-time frequency data, processing the real-time frequency data of the first preset quantity and standard frequency data to obtain an effective frequency fluctuation index, comparing the effective frequency fluctuation index with a preset frequency modulation requirement threshold to obtain frequency modulation requirement state data, and correspondingly obtaining a frequency modulation requirement state according to the frequency modulation requirement state data, wherein the frequency modulation requirement state comprises frequency modulation requirement and no frequency modulation requirement, and a calculation formula of the effective frequency fluctuation index is as follows:
Wherein Y b is an effective frequency fluctuation index, S yj represents the j-th new energy real-time active power, S fj represents the j-th real-time load power, m represents the number of the second preset number, and B p is standard frequency data.
According to an embodiment of the present invention, according to the frequency modulation demand state, the calculating, by using the standard working characteristic data and the real-time working characteristic data, the real-time frequency modulation data of the new energy device specifically includes:
If the frequency modulation demand state is that frequency modulation is needed, calculating according to the standard frequency data, the real-time active power of the new energy and the real-time load power to obtain real-time frequency modulation data of the new energy device;
The calculation formula of the real-time frequency modulation demand data of the new energy device is as follows:
Wherein, T x is real-time fm demand data, S y is real-time active power of the new energy, S f is real-time load power, and B p is standard frequency data.
If the frequency modulation requirement state of the new energy device is that frequency modulation is needed, whether the frequency of the new energy device is high or low needs to be analyzed, if the frequency is high, the real-time active power of the new energy device is larger or the real-time load power is smaller, the real-time active power of the new energy device needs to be reduced, so that the frequency can be reduced to the standard frequency, if the frequency is low, the real-time active power of the new energy device is smaller or the real-time load power is larger, the real-time active power of the new energy device needs to be increased, and two different calculation formulas are respectively corresponding to the two situations.
Referring to fig. 3, fig. 3 is a flowchart of a new energy device adaptive frequency modulation method for obtaining effective frequency modulation requirement data according to an embodiment of the present application. According to an embodiment of the present application, the calculating the real-time fm demand data according to a preset second time period, obtaining a second preset number of the real-time fm demand data, and calculating to obtain effective fm demand data specifically includes:
s31, the new energy device calculates and obtains the real-time frequency modulation demand data according to a preset second time period;
s32, acquiring a second preset number of the real-time frequency modulation demand data and calculating to acquire effective frequency modulation demand data;
the calculation formula of the effective frequency modulation demand data is as follows:
Wherein Y x is effective fm demand data, T xi is the ith real-time fm demand data, and n is a second predetermined amount.
The real-time frequency modulation demand data is obtained by calculation according to a preset second time period, a second preset number of real-time frequency modulation demand data is obtained, both the preset second time period and the second preset number can be set according to user demands, and because the real-time frequency modulation demand data at a single moment possibly have certain contingency, in order to enable the frequency to be more stable and meet the frequency requirements, the effective frequency modulation demand data is obtained by calculation according to the obtained real-time frequency modulation demand data, and the effective frequency modulation demand data is data capable of reflecting the real-time frequency modulation demand data better.
Referring to fig. 4, fig. 4 is a flowchart of a new energy device adaptive frequency modulation method for obtaining frequency modulation instruction data according to an embodiment of the present application. According to an embodiment of the present application, the calculating according to the real-time working characteristic data to obtain a frequency modulation mode parameter, and comparing the effective frequency modulation demand data with the frequency modulation mode parameter to obtain frequency modulation instruction data specifically includes:
s41, calculating and obtaining frequency modulation mode parameters including a first parameter and a second parameter according to the real-time highest available active power, the real-time active power of the new energy source and the real-time load power;
s42, the first parameter is the difference between the real-time available highest active power and the real-time active power of the new energy, and the second parameter is the difference between the real-time available highest active power and the standard energy storage data after being added and then the real-time available highest active power and the real-time active power of the new energy;
s43, comparing the effective frequency modulation demand data with the first parameter and the second parameter respectively to obtain frequency modulation instruction data.
In order to better realize adaptive frequency modulation, according to the configuration of a new energy device and effective frequency modulation demand data, different frequency modulation modes can be adopted, frequency modulation instruction data is required to be obtained by determining the frequency modulation modes, first, frequency modulation mode parameters are obtained according to real-time available highest active power, new energy real-time active power and real-time load power calculation, the parameters comprise a first parameter and a second parameter, the real-time available highest active power refers to the highest active power which can be provided by the new energy device according to the current situation at that moment, the new energy real-time active power refers to the active power which is output by the new energy device when the new energy device operates at that moment, and a calculation formula of the first parameter is as follows:
Dy＝Zg-Sy；
Wherein D y is a first parameter, Z g is the highest real-time available active power, and S y is the real-time active power of the new energy source; the calculation formula of the second parameter is:
De＝Zg+Bc-Sy；
wherein D e is a second parameter, Z g is the highest real-time available active power, B c is standard energy storage data, and S y is new energy real-time active power;
Comparing the effective frequency modulation demand data with the first parameter and the second parameter respectively to obtain frequency modulation instruction data, wherein in the embodiment, if the effective frequency modulation demand data is smaller than the first parameter, the frequency modulation instruction data is 0; if the effective frequency modulation demand data is larger than the first parameter and smaller than the second parameter, the frequency modulation instruction data is 1, and if the effective frequency modulation demand data is larger than the second parameter, the frequency modulation instruction data is 11.
According to an embodiment of the present invention, the obtaining a frequency modulation scheme according to the frequency modulation instruction data and executing a corresponding operation specifically includes:
Obtaining a frequency modulation scheme according to the frequency modulation instruction data, wherein the frequency modulation scheme comprises self-adaptive frequency modulation, energy storage frequency modulation and grid-connected frequency modulation;
and according to the frequency modulation scheme, frequency modulation is carried out on the new energy device, and the corresponding frequency modulation scheme is output to a display.
The frequency modulation scheme is correspondingly obtained according to the frequency modulation instruction data, the frequency modulation instruction data 0 corresponds to adaptive frequency modulation, namely, the frequency modulation can be realized by utilizing the highest real-time available active power of the new energy device, the frequency modulation instruction data 1 corresponds to energy storage frequency modulation, namely, the frequency modulation is realized by utilizing the energy storage of the new energy device, the frequency modulation instruction data 11 corresponds to grid-connected frequency modulation, namely, the frequency modulation cannot be realized by utilizing the new energy device, and the frequency modulation is realized by utilizing other energy sources in grid connection.
According to an embodiment of the present invention, the obtaining real-time optimized working characteristic data after the frequency modulation operation, combining with the standard working characteristic data, processes to obtain a frequency modulation operation effect index, and obtains a frequency modulation operation effect, includes:
acquiring real-time optimized working characteristic data after frequency modulation operation, wherein the real-time optimized working characteristic data comprises real-time optimized active power of new energy and latest load data;
Dividing the real-time optimized active power of the new energy source by the latest load data to obtain optimized frequency data;
dividing the optimized frequency data with the standard frequency data to obtain a frequency modulation operation effect index;
And comparing the frequency modulation operation effect index with a preset frequency modulation effect threshold value to obtain a frequency modulation operation effect.
After the new energy device adaptively modulates frequency, the frequency modulation effect needs to be judged to evaluate the frequency modulation operation, and the real-time optimized working characteristic data after the frequency modulation operation is firstly obtained, wherein the real-time optimized working characteristic data comprises real-time optimized active power and latest load data of the new energy; the real-time optimizing working characteristic data refers to real-time active power of the new energy device after optimization, the latest load refers to load power data of the new energy device after optimization, new energy real-time optimizing active power is divided with the latest load data to obtain optimizing frequency data, then the optimizing frequency data is divided with standard frequency data to obtain frequency modulation operation effect index, and the frequency modulation operation effect index is compared with a preset frequency modulation effect threshold to obtain frequency modulation operation effects including excellent, good and poor.
The invention also discloses a new energy device self-adaptive frequency modulation system, which comprises a memory and a processor, wherein the memory comprises a new energy device self-adaptive frequency modulation method program, and the new energy device self-adaptive frequency modulation method program is executed by the processor to realize the following steps:
Standard working information and real-time working information of the new energy device are obtained, and standard working characteristic data and real-time working characteristic data are extracted respectively;
Acquiring a first preset number of real-time working characteristic data according to a preset first time period, calculating to acquire an effective frequency fluctuation index and judging a frequency modulation demand state;
According to the frequency modulation demand state, calculating and obtaining real-time frequency modulation demand data of the new energy device through the standard working characteristic data and the real-time working characteristic data;
calculating the real-time frequency modulation demand data according to a preset second time period, obtaining a second preset number of the real-time frequency modulation demand data, and calculating to obtain effective frequency modulation demand data;
Calculating according to the real-time working characteristic data to obtain frequency modulation mode parameters, and comparing the effective frequency modulation demand data with the frequency modulation mode parameters to obtain frequency modulation instruction data;
obtaining a frequency modulation scheme according to the frequency modulation instruction data and executing corresponding operation;
And acquiring real-time optimized working characteristic data after frequency modulation operation, combining the standard working characteristic data, processing to acquire a frequency modulation operation effect index, and acquiring a frequency modulation operation effect.
In order to achieve adaptive frequency modulation of the new energy device, standard working information and real-time working information of the new energy device are firstly acquired, standard working characteristic data and real-time working characteristic data are respectively extracted, in the operation of the new energy device, the frequency is dynamically changed, in order to better judge the frequency modulation requirement, a first preset number of real-time working characteristic data are acquired according to a preset first time period, an effective frequency fluctuation index is obtained through calculation, and the frequency modulation requirement state can be judged according to the comparison of the effective frequency fluctuation index and a preset threshold value, namely whether frequency modulation is required or not; judging whether to execute the frequency modulation operation or not according to the frequency modulation demand state, if so, calculating to obtain real-time frequency modulation demand data of the new energy device according to the standard work characteristic data and the real-time work characteristic data, wherein the real-time frequency modulation demand data of single time also has instability, calculating the real-time frequency modulation demand data according to a preset second time period for better determining the frequency modulation demand data, obtaining a second preset number of real-time frequency modulation demand data, and calculating to obtain effective frequency modulation demand data; after the effective frequency modulation demand data is obtained, a frequency modulation mode needs to be determined, so that frequency modulation mode parameters are obtained through calculation of real-time working characteristic data, the effective frequency modulation demand data is compared with the frequency modulation mode parameters to obtain frequency modulation instruction data, a frequency modulation scheme is further obtained, corresponding operation is carried out, after frequency modulation operation is carried out, real-time optimized working characteristic data is obtained, standard working characteristic data is combined, frequency modulation operation effect indexes are obtained through processing, and frequency modulation operation effects are obtained, wherein the frequency modulation operation effects comprise excellent, good and poor.
According to an embodiment of the present invention, the method for acquiring standard working information and real-time working information of a new energy device, and extracting standard working feature data and real-time working feature data respectively, specifically includes:
Standard working information of the new energy device is obtained, and standard working characteristic data including standard frequency data and standard energy storage data are extracted;
and acquiring real-time working information of the new energy device, and extracting real-time working characteristic data, wherein the real-time working characteristic data comprise real-time active power, real-time load power and real-time highest available active power of the new energy.
The new energy device has standard working parameters at the beginning of design and installation, standard working information of the new energy device is obtained, standard working characteristic data, namely standard data or design data working in a standard state, including standard frequency data and standard energy storage data, wherein the standard energy storage data refers to the standard data of an energy storage device matched with the new energy device; in the operation process of the new energy device, some parameters are changed in real time, so that the real-time working information of the new energy device needs to be acquired and real-time working characteristic data is extracted, wherein the real-time working information comprises real-time active power, real-time load power and real-time available highest active power, the real-time active power refers to the real-time output active power value of the new energy device, the real-time load power refers to the dynamic load power of the new energy device, and the real-time available highest active power is the highest active power which can be provided by the new energy device at the moment under the condition.
According to an embodiment of the present invention, the acquiring a first preset number of the real-time working characteristic data according to a preset first time period, calculating to obtain an effective frequency fluctuation index, and judging a frequency modulation demand state specifically includes:
Acquiring a first preset number of real-time active power and real-time load power of the new energy according to a preset first time period;
comparing the real-time active power of the new energy with the real-time load power to obtain corresponding real-time frequency data;
processing according to the first preset number of real-time frequency data and standard frequency data to obtain an effective frequency fluctuation index;
comparing the effective frequency fluctuation index with a preset frequency modulation requirement threshold value to obtain frequency modulation requirement state data;
and correspondingly obtaining the frequency modulation demand state according to the frequency modulation demand state data, wherein the frequency modulation demand state comprises the frequency modulation demand state and the frequency modulation unnecessary state.
The method comprises the steps of obtaining a first preset quantity of real-time active power and real-time load power of new energy according to a preset first time period during operation, dividing the real-time active power of the new energy by the real-time load power according to user requirements to obtain corresponding real-time frequency data, processing the real-time frequency data of the first preset quantity and standard frequency data to obtain an effective frequency fluctuation index, comparing the effective frequency fluctuation index with a preset frequency modulation requirement threshold to obtain frequency modulation requirement state data, and correspondingly obtaining a frequency modulation requirement state according to the frequency modulation requirement state data, wherein the frequency modulation requirement state comprises frequency modulation requirement and no frequency modulation requirement, and a calculation formula of the effective frequency fluctuation index is as follows:
Wherein Y b is an effective frequency fluctuation index, S yj represents the j-th new energy real-time active power, S fj represents the j-th real-time load power, m represents the number of the second preset number, and B p is standard frequency data.
According to an embodiment of the present invention, according to the frequency modulation demand state, the calculating, by using the standard working characteristic data and the real-time working characteristic data, the real-time frequency modulation data of the new energy device specifically includes:
If the frequency modulation demand state is that frequency modulation is needed, calculating according to the standard frequency data, the real-time active power of the new energy and the real-time load power to obtain real-time frequency modulation data of the new energy device;
The calculation formula of the real-time frequency modulation demand data of the new energy device is as follows:
Wherein, T x is real-time fm demand data, S y is real-time active power of the new energy, S f is real-time load power, and B p is standard frequency data.
If the frequency modulation requirement state of the new energy device is that frequency modulation is needed, whether the frequency of the new energy device is high or low needs to be analyzed, if the frequency is high, the real-time active power of the new energy device is larger or the real-time load power is smaller, the real-time active power of the new energy device needs to be reduced, so that the frequency can be reduced to the standard frequency, if the frequency is low, the real-time active power of the new energy device is smaller or the real-time load power is larger, the real-time active power of the new energy device needs to be increased, and two different calculation formulas are respectively corresponding to the two situations.
According to an embodiment of the present invention, the calculating the real-time fm demand data according to a preset second time period, obtaining a second preset number of the real-time fm demand data, and calculating to obtain effective fm demand data specifically includes:
The new energy device calculates and obtains the real-time frequency modulation demand data according to a preset second time period;
Acquiring a second preset number of the real-time frequency modulation demand data and calculating to acquire effective frequency modulation demand data;
the calculation formula of the effective frequency modulation demand data is as follows:
Wherein Y x is effective fm demand data, T xi is the ith real-time fm demand data, and n is a second predetermined amount.
The real-time frequency modulation demand data is obtained by calculation according to a preset second time period, a second preset number of real-time frequency modulation demand data is obtained, both the preset second time period and the second preset number can be set according to user demands, and because the real-time frequency modulation demand data at a single moment possibly have certain contingency, in order to enable the frequency to be more stable and meet the frequency requirements, the effective frequency modulation demand data is obtained by calculation according to the obtained real-time frequency modulation demand data, and the effective frequency modulation demand data is data capable of reflecting the real-time frequency modulation demand data better.
According to an embodiment of the present invention, the calculating according to the real-time working characteristic data to obtain a frequency modulation mode parameter, and comparing the effective frequency modulation demand data with the frequency modulation mode parameter to obtain frequency modulation instruction data specifically includes:
Obtaining frequency modulation mode parameters including a first parameter and a second parameter according to the real-time highest active power, the real-time active power of the new energy source and the real-time load power;
The first parameter is the difference between the real-time highest available active power and the real-time active power of the new energy, and the second parameter is the difference between the real-time highest available active power and the standard energy storage data after being added and then the real-time highest available active power and the real-time active power of the new energy;
and comparing the effective frequency modulation demand data with the first parameter and the second parameter respectively to obtain frequency modulation instruction data.
In order to better realize adaptive frequency modulation, according to the configuration of a new energy device and effective frequency modulation demand data, different frequency modulation modes can be adopted, frequency modulation instruction data is required to be obtained by determining the frequency modulation modes, first, frequency modulation mode parameters are obtained according to real-time available highest active power, new energy real-time active power and real-time load power calculation, the parameters comprise a first parameter and a second parameter, the real-time available highest active power refers to the highest active power which can be provided by the new energy device according to the current situation at that moment, the new energy real-time active power refers to the active power which is output by the new energy device when the new energy device operates at that moment, and a calculation formula of the first parameter is as follows:
Dy＝Zg-Sy；
Wherein D y is a first parameter, Z g is the highest real-time available active power, and S y is the real-time active power of the new energy source; the calculation formula of the second parameter is:
De＝Zg+Bc-Sy；
wherein D e is a second parameter, Z g is the highest real-time available active power, B c is standard energy storage data, and S y is new energy real-time active power;
Comparing the effective frequency modulation demand data with the first parameter and the second parameter respectively to obtain frequency modulation instruction data, wherein in the embodiment, if the effective frequency modulation demand data is smaller than the first parameter, the frequency modulation instruction data is 0; if the effective frequency modulation demand data is larger than the first parameter and smaller than the second parameter, the frequency modulation instruction data is 1, and if the effective frequency modulation demand data is larger than the second parameter, the frequency modulation instruction data is 11.
According to an embodiment of the present invention, the obtaining a frequency modulation scheme according to the frequency modulation instruction data and executing a corresponding operation specifically includes:
Obtaining a frequency modulation scheme according to the frequency modulation instruction data, wherein the frequency modulation scheme comprises self-adaptive frequency modulation, energy storage frequency modulation and grid-connected frequency modulation;
and according to the frequency modulation scheme, frequency modulation is carried out on the new energy device, and the corresponding frequency modulation scheme is output to a display.
The frequency modulation scheme is correspondingly obtained according to the frequency modulation instruction data, the frequency modulation instruction data 0 corresponds to adaptive frequency modulation, namely, the frequency modulation can be realized by utilizing the highest real-time available active power of the new energy device, the frequency modulation instruction data 1 corresponds to energy storage frequency modulation, namely, the frequency modulation is realized by utilizing the energy storage of the new energy device, the frequency modulation instruction data 11 corresponds to grid-connected frequency modulation, namely, the frequency modulation cannot be realized by utilizing the new energy device, and the frequency modulation is realized by utilizing other energy sources in grid connection.
According to an embodiment of the present invention, the obtaining real-time optimized working characteristic data after the frequency modulation operation, combining with the standard working characteristic data, processes to obtain a frequency modulation operation effect index, and obtains a frequency modulation operation effect, includes:
acquiring real-time optimized working characteristic data after frequency modulation operation, wherein the real-time optimized working characteristic data comprises real-time optimized active power of new energy and latest load data;
Dividing the real-time optimized active power of the new energy source by the latest load data to obtain optimized frequency data;
dividing the optimized frequency data with the standard frequency data to obtain a frequency modulation operation effect index;
And comparing the frequency modulation operation effect index with a preset frequency modulation effect threshold value to obtain a frequency modulation operation effect.
After the new energy device adaptively modulates frequency, the frequency modulation effect needs to be judged to evaluate the frequency modulation operation, and the real-time optimized working characteristic data after the frequency modulation operation is firstly obtained, wherein the real-time optimized working characteristic data comprises real-time optimized active power and latest load data of the new energy; the real-time optimizing working characteristic data refers to real-time active power of the new energy device after optimization, the latest load refers to load power data of the new energy device after optimization, new energy real-time optimizing active power is divided with the latest load data to obtain optimizing frequency data, then the optimizing frequency data is divided with standard frequency data to obtain frequency modulation operation effect index, and the frequency modulation operation effect index is compared with a preset frequency modulation effect threshold to obtain frequency modulation operation effects including excellent, good and poor.
A third aspect of the present invention provides a readable storage medium having embodied therein a new energy device adaptive frequency modulation method program which, when executed by a processor, implements the steps of a new energy device adaptive frequency modulation method as described in any one of the preceding claims.
According to the self-adaptive frequency modulation method, system and medium for the new energy device, standard working information and real-time working information of the new energy device are obtained, standard working characteristic data and real-time working characteristic data are respectively extracted, a first preset number of real-time working characteristic data are obtained according to a preset first time period, an effective frequency fluctuation index is calculated and obtained, a frequency modulation demand state is judged, then real-time frequency modulation demand data are obtained according to the frequency modulation demand state through the characteristic data calculation of the new energy device, the real-time frequency modulation demand data are calculated according to a preset second time period, the effective frequency modulation demand data are obtained according to the real-time working characteristic data, frequency modulation mode parameters are obtained according to the real-time working characteristic data calculation, frequency modulation instruction data are obtained, a frequency modulation scheme is correspondingly obtained according to the frequency modulation instruction data, corresponding operation is carried out, and finally a technology of obtaining a frequency modulation operation effect is processed according to the real-time optimized working characteristic data after frequency modulation.
In the several embodiments provided by the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above described device embodiments are only illustrative, e.g. the division of the units is only one logical function division, and there may be other divisions in practice, such as: multiple units or components may be combined or may be integrated into another system, or some features may be omitted, or not performed. In addition, the various components shown or discussed may be coupled or directly coupled or communicatively coupled to each other via some interface, whether indirectly coupled or communicatively coupled to devices or units, whether electrically, mechanically, or otherwise.
The units described above as separate components may or may not be physically separate, and components shown as units may or may not be physical units; can be located in one place or distributed to a plurality of network units; some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in each embodiment of the present invention may be integrated in one processing unit, or each unit may be separately used as one unit, or two or more units may be integrated in one unit; the integrated units may be implemented in hardware or in hardware plus software functional units.
Those of ordinary skill in the art will appreciate that: all or part of the steps for implementing the above method embodiments may be implemented by hardware related to program instructions, and the foregoing program may be stored in a readable storage medium, where the program, when executed, performs steps including the above method embodiments; and the aforementioned storage medium includes: a mobile storage device, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk or optical disk, or the like, which can store program codes.
Or the above-described integrated units of the invention may be stored in a readable storage medium if implemented in the form of software functional modules and sold or used as separate products. Based on such understanding, the technical solution of the embodiments of the present invention may be embodied in essence or a part contributing to the prior art in the form of a software product stored in a storage medium, including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the methods described in the embodiments of the present invention. And the aforementioned storage medium includes: a removable storage device, ROM, RAM, magnetic or optical disk, or other medium capable of storing program code.
Claims (10)
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410225874.0A CN117996785B (en) | 2024-02-29 | 2024-02-29 | New energy device self-adaptive frequency modulation method, system and medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410225874.0A CN117996785B (en) | 2024-02-29 | 2024-02-29 | New energy device self-adaptive frequency modulation method, system and medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN117996785A true CN117996785A (en) | 2024-05-07 |
| CN117996785B CN117996785B (en) | 2024-06-21 |
Family
ID=90900560
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202410225874.0A Active CN117996785B (en) | 2024-02-29 | 2024-02-29 | New energy device self-adaptive frequency modulation method, system and medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117996785B (en) |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20060253715A1 (en) * | 2005-05-03 | 2006-11-09 | International Business Machines Corporation | Scheduling processor voltages and frequencies based on performance prediction and power constraints |
| CN111725846A (en) * | 2020-06-04 | 2020-09-29 | 南方电网科学研究院有限责任公司 | Primary frequency modulation method and system for new energy station |
| CN112366731A (en) * | 2020-11-05 | 2021-02-12 | 国能日新科技股份有限公司 | Power grid frequency adjusting method, system, server and storage medium |
| CN115882527A (en) * | 2023-02-24 | 2023-03-31 | 南方电网数字电网研究院有限公司 | Primary frequency modulation coordination control method considering energy storage new energy station droop characteristic |
| CN116667387A (en) * | 2023-06-21 | 2023-08-29 | 广东电网有限责任公司电力调度控制中心 | Method, device and storage medium for regulating and controlling power grid frequency |
| CN117375028A (en) * | 2023-12-08 | 2024-01-09 | 西安热工研究院有限公司 | Primary frequency modulation online evaluation and energy storage optimization configuration method for thermal power generating unit |
-
2024
- 2024-02-29 CN CN202410225874.0A patent/CN117996785B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20060253715A1 (en) * | 2005-05-03 | 2006-11-09 | International Business Machines Corporation | Scheduling processor voltages and frequencies based on performance prediction and power constraints |
| CN111725846A (en) * | 2020-06-04 | 2020-09-29 | 南方电网科学研究院有限责任公司 | Primary frequency modulation method and system for new energy station |
| CN112366731A (en) * | 2020-11-05 | 2021-02-12 | 国能日新科技股份有限公司 | Power grid frequency adjusting method, system, server and storage medium |
| CN115882527A (en) * | 2023-02-24 | 2023-03-31 | 南方电网数字电网研究院有限公司 | Primary frequency modulation coordination control method considering energy storage new energy station droop characteristic |
| CN116667387A (en) * | 2023-06-21 | 2023-08-29 | 广东电网有限责任公司电力调度控制中心 | Method, device and storage medium for regulating and controlling power grid frequency |
| CN117375028A (en) * | 2023-12-08 | 2024-01-09 | 西安热工研究院有限公司 | Primary frequency modulation online evaluation and energy storage optimization configuration method for thermal power generating unit |
Non-Patent Citations (1)
| Title |
|---|
| 陈长青 等: "计及弃风能量的风电场调频功率分配策略", 《热力发电》, 25 August 2022 (2022-08-25) * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN117996785B (en) | 2024-06-21 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US8005654B2 (en) | Method, apparatus and computer program product for intelligent workload control of distributed storage | |
| CN109257294A (en) | Service dynamic down method, device, server and storage medium based on redis | |
| CN116167581A (en) | Battery demand estimation method and device, scheduling method and computer equipment | |
| CN115564193A (en) | Multi-dimensional comprehensive benefit evaluation method and system for intelligent power distribution network and storage medium | |
| CN111680478B (en) | Report generation method, device, equipment and storage medium based on configuration software | |
| CN113595109B (en) | Flywheel energy storage capacity configuration method and device | |
| CN112565391A (en) | Method, apparatus, device and medium for adjusting instances in an industrial internet platform | |
| CN114020121B (en) | Method, device and equipment for controlling temperature of cloud mobile phone server | |
| CN117996785A (en) | New energy device self-adaptive frequency modulation method, system and medium | |
| CN115657570B (en) | Intelligent chip control method and device in low power consumption mode and storage medium | |
| CN110707729B (en) | Method and device for analyzing multi-region primary frequency modulation condition and storage medium | |
| CN110443441A (en) | Regular efficacy monitoring method, apparatus, computer equipment and storage medium | |
| CN116488149A (en) | Method and device for determining micro-grid power generation strategy and micro-grid | |
| CN116644567A (en) | Method, system, equipment and medium for determining key transmission section of power system | |
| CN113888228A (en) | Characterization method and device for operation characteristics of power distribution network | |
| CN109407994B (en) | Storage strategy generation method, device, equipment and readable storage medium | |
| CN113687952A (en) | Information processing method, device, equipment and storage medium | |
| CN114785711B (en) | Performance monitoring method, device and storage medium of network equipment | |
| CN115750204B (en) | A method and system for adjusting the speed of a wind turbine generator | |
| CN114897223B (en) | A wind power prediction method, device and computer readable storage medium | |
| CN118017620B (en) | Power distribution method and system for portable light-storage power supply device under multiple scenes | |
| CN116231647B (en) | State estimation method and system for power distribution system with high penetration rate unmonitored photovoltaic power generation | |
| CN117894347B (en) | Method, system and medium for controlling power consumption of solid state disk | |
| CN118504937A (en) | Dynamic scheduling method, system, terminal and storage medium for charging pile | |
| CN116011216A (en) | Power system reliability assessment method, system, equipment and storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| OL01 | Intention to license declared | ||
| OL01 | Intention to license declared |