CN113541306B - Green energy low-carbon efficiency monitoring system and method - Google Patents
Green energy low-carbon efficiency monitoring system and method Download PDFInfo
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- CN113541306B CN113541306B CN202110563390.3A CN202110563390A CN113541306B CN 113541306 B CN113541306 B CN 113541306B CN 202110563390 A CN202110563390 A CN 202110563390A CN 113541306 B CN113541306 B CN 113541306B
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00002—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by monitoring
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00001—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by the display of information or by user interaction, e.g. supervisory control and data acquisition systems [SCADA] or graphical user interfaces [GUI]
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00032—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for
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Abstract
The invention provides a green energy low-carbon efficiency monitoring system and a method. The monitoring method specifically comprises the steps of determining a monitoring area, collecting power grid data of all green energy power generation projects in the monitoring area, selecting the green energy power generation projects to be monitored and corresponding low-carbon efficiency evaluation standards, performing low-carbon efficiency evaluation according to the corresponding power grid data and the low-carbon efficiency evaluation standards to obtain low-carbon efficiency grades corresponding to the green energy power generation projects, establishing a low-carbon efficiency evaluation chart according to the low-carbon efficiency grades, and finally transmitting the low-carbon efficiency evaluation chart to a display module for display. According to the invention, the green energy power generation project is monitored through low-carbon efficiency evaluation, and the running condition, the corresponding operation and maintenance requirements and the fault condition of the green energy power generation project can be timely obtained.
Description
Technical Field
The invention relates to the technical field of green energy low-carbon efficiency monitoring, in particular to a system and a method for monitoring green energy low-carbon efficiency.
Background
Along with the continuous development of society and the continuous improvement of living standard of people, the power supply demand of a power grid is continuously improved. In the traditional power generation process, excessive carbon emission is generated, the environment is damaged to a certain extent, and in order to meet the power supply requirement, the environment can be considered, and more projects of generating power by adopting green energy are available. However, the green energy power generation project is affected by the influence of the randomness factors such as climate, region and the like, and the fluctuation of the power generation stability is large, so that the green energy project is difficult to effectively monitor. The operation condition of the green energy power generation project is difficult to master in real time due to the monitoring deficiency of the green energy power generation project, the conventional operation and maintenance operation is required when equipment aging and other problems occur in the green energy power generation project, or the operation and maintenance requirement or fault information is difficult to acquire in time when the green energy power generation project fails, so that the power generation efficiency of the green energy power generation project is greatly reduced.
Disclosure of Invention
The invention aims to overcome the defects in the prior art and provides a system and a method for monitoring low-carbon efficiency of green energy.
The invention aims at realizing the following technical scheme:
a green energy low-carbon efficiency monitoring method comprises the following steps:
Step one, determining a monitoring area, wherein a data acquisition module acquires power grid data of all green energy power generation projects in the monitoring area, and the data acquisition module stores the acquired power grid data of all green energy power generation projects into a power grid data storage unit;
Selecting a green energy power generation project to be monitored, selecting a corresponding low-carbon efficiency evaluation standard by a data analysis module, extracting corresponding power grid data in a power grid data storage unit, performing low-carbon efficiency evaluation on the green energy power generation project by the data analysis module according to the low-carbon efficiency evaluation standard and the power grid data, and acquiring a low-carbon efficiency grade corresponding to the green energy power generation project by the data analysis module according to a low-carbon efficiency evaluation result;
and thirdly, the data analysis module establishes a low-carbon efficiency evaluation chart according to the low-carbon efficiency grade, and the data analysis module transmits the established low-carbon efficiency evaluation chart to the display module for display.
The low-carbon efficiency evaluation is carried out through the power grid data of the green energy power generation project, the power generation efficiency of the green energy power generation project is reflected according to the low-carbon efficiency evaluation result, and the low-carbon efficiency evaluation of the green energy power generation project is continuously carried out, so that the running condition of the green energy power generation project can be effectively reflected through the change of the low-carbon efficiency evaluation result, and if equipment of the green energy power generation project is aged and the like and needs to be subjected to operation and maintenance treatment, the running condition can be timely fed back through the change of the low-carbon efficiency evaluation result. And the evaluation result is displayed through the low-carbon efficiency evaluation chart, and the evaluation result is intuitively displayed to the monitoring staff, so that the monitoring staff can be ensured to quickly acquire the specific running condition of the green energy power generation project.
Furthermore, the data analysis module also judges the energy type of the green energy power generation project before the low-carbon efficiency evaluation, and matches the corresponding low-carbon efficiency evaluation standard from the evaluation standard database according to the energy type.
The low-carbon efficiency evaluation standard is matched according to different energy types, so that the low-carbon efficiency evaluation result is ensured to accurately accord with the actual efficiency condition each time.
Further, the low-carbon efficiency evaluation criteria include an evaluation criterion for green energy sources of photovoltaic, wind power or hydropower and an evaluation criterion for other green energy sources except for photovoltaic, wind power or hydropower, and the evaluation criterion for projects of photovoltaic, wind power or hydropower is specifically: comparing the power generation hours of the green energy power generation project to be evaluated with the average daily power generation hours or the average monthly power generation hours of all the green energy power generation projects in the monitoring area, wherein the green energy power generation project is of primary low-carbon efficiency when the power generation hours of the green energy power generation project are more than 80% of the average daily power generation hours or the average monthly power generation hours; when the power generation hours of the green energy power generation project are in the range of 60-80% of the average power generation hours of the day or the average power generation hours of the month, the green energy power generation project has the secondary low-carbon efficiency; when the power generation hours of the green energy power generation project are in the range of 30-60% of the average power generation hours of the day or the average power generation hours of the month, the green energy power generation project has three-level low-carbon efficiency; when the power generation hours of the green energy power generation project is more than 0 and less than 30% of the average power generation hours of the day or the average power generation hours of the month, the green energy power generation project has four-level low-carbon efficiency; when the number of power generation hours of the green energy power generation project is 0, the power generation efficiency of the green energy power generation project is five-level low-carbon efficiency.
Further, when the data analysis module carries out low-carbon efficiency evaluation on a photovoltaic, wind power or hydropower project, the data analysis module also extracts historical power generation hours of a green energy power generation project in a power grid data storage unit, builds a power generation hour development trend chart corresponding to the green energy power generation project according to the historical power generation hours, predicts to obtain a power generation hour pre-estimation value corresponding to the low-carbon efficiency evaluation according to the power generation hour development trend chart, compares the actual power generation hours of the green energy power generation project when the low-carbon efficiency evaluation is carried out with the power generation hour pre-estimation value, obtains a power generation hour difference value when the actual power generation hours is smaller than the power generation hour pre-estimation value, compares the power generation hour difference value with a preset threshold, and sends out a green energy power generation project equipment fault alarm when the power generation hour difference value is larger than the preset threshold.
The green energy power generation project is influenced by unavoidable factors such as aging of power generation equipment, so that the power generation efficiency is inevitably reduced, and whether the current power generation equipment fails or not is difficult to judge through the low-carbon efficiency level. Therefore, the current power generation hours of the green energy power generation project are predicted through analysis of the historical power generation hours, the predicted value of the power generation hours is compared with the actual power generation hours, when the actual power generation hours are smaller than the predicted value and the difference value is larger than a preset threshold, the power generation equipment can be judged to be faulty, and monitoring staff is prompted to carry out timely maintenance through fault alarming, so that the power generation efficiency of the green energy power generation project is improved.
Further, the evaluation criteria for other green energy sources except for photovoltaic, wind power or hydropower are specifically as follows: acquiring the month generating capacity of a green energy power generation project, and if the month generating capacity of the green energy power generation project is greater than 0, the green energy power generation project is of primary low-carbon efficiency; and if the monthly power generation amount of the green energy power generation project is less than or equal to 0, the green energy power generation project is five-level low-carbon efficiency.
The running state of the green energy power generation project equipment is judged mainly through the power generation hours or the power generation capacity of the green energy power generation project, and because the green energy is mostly influenced by environmental factors, accurate and stable power generation efficiency is difficult to obtain, the low-carbon efficiency of the green energy such as photovoltaic, wind power or hydropower with higher power generation efficiency is measured by comparing the power generation hours with the average power generation hours per day or the average power generation hours per month, and the low-carbon efficiency of the green energy with lower power generation efficiency can be intuitively judged through the power generation capacity per month. The efficiency grade classification is carried out on the green energy power generation project, the operation and maintenance efficiency of the subsequent green energy power generation project can be effectively improved, and the power generation efficiency of the operated and maintained green energy power generation project can be effectively improved, so that the purpose of low carbon is achieved.
Further, when the low-carbon efficiency evaluation result is the first-level low-carbon efficiency, the data analysis module establishes a green low-carbon efficiency evaluation chart; when the low-carbon efficiency evaluation result is the secondary low-carbon efficiency, the data analysis module establishes a blue low-carbon efficiency evaluation chart; when the low-carbon efficiency evaluation result is three-level low-carbon efficiency, the data analysis module establishes a yellow low-carbon efficiency evaluation chart; when the low-carbon efficiency evaluation result is the four-level low-carbon efficiency, the data analysis module establishes an orange low-carbon efficiency evaluation chart; when the low-carbon efficiency evaluation result is five-level low-carbon efficiency, the data analysis module establishes a red low-carbon efficiency evaluation chart.
The low-carbon efficiency evaluation results are marked through different colors, monitoring staff can intuitively acquire the low-carbon efficiency grades through the colors, and the low-carbon efficiency grades of different grades correspond to different operation and maintenance schemes, so that the operation and maintenance efficiency is improved.
Further, the data analysis module is used for calculating the carbon emission reduction amount and the carbon neutralization index of the green energy power generation project through the power grid data of the green energy power generation project, and transmitting the calculation results of the carbon emission reduction amount and the carbon neutralization index to the display module to be displayed together with the green electricity carbon effect code.
Further, the calculation formula of carbon emission reduction of the green energy power generation project is as follows:
Cod＝W*0.997
wherein: cod is the carbon dioxide emission reduction amount, and W is the green energy power generation amount;
The calculation formula of the carbon neutralization index is:
wherein gamma is an in-situ power carbon neutralization index, p is a user generated energy, w 1 is an associated user used energy, and w 2 is a user spontaneous self-used energy.
The carbon reduction capacity and the carbon neutralization index of the green energy power generation project are calculated, and the low-carbon efficiency of the green energy power generation efficiency is comprehensively displayed by matching with the low-carbon efficiency grade, so that the carbon reduction benefit of the green energy power generation project can be reflected from the carbon reduction capacity and the carbon neutralization index.
The system comprises a data acquisition module, a data analysis module and a display module, wherein the data acquisition module is connected with the data analysis module, the data acquisition module is used for acquiring power grid data of a green energy power generation project, and the data analysis module is used for carrying out low-carbon efficiency evaluation of the green energy power generation project and establishing a corresponding low-carbon efficiency evaluation graph; the display module is connected with the data analysis module and is used for displaying the low-carbon efficiency evaluation chart established by the data analysis module and the calculated values of the carbon emission reduction and carbon neutralization indexes.
Further, the green energy low-carbon efficiency monitoring system further comprises an evaluation standard database and a power grid data storage unit, wherein the evaluation standard database is connected with the data analysis module and is used for providing evaluation standards required by low-carbon efficiency evaluation for the data analysis module, the power grid data storage unit is simultaneously connected with the data acquisition module and the data analysis module, and the power grid data storage unit is used for storing power generation data of a green energy power generation project.
The beneficial effects of the invention are as follows:
And evaluating the low-carbon efficiency of the green energy power generation project according to the power generation data of the green energy power generation project, obtaining the low-carbon efficiency grade of the green energy power generation project, and distinguishing the display efficiency grade through the color identification. And the carbon emission reduction and carbon neutralization indexes of the green energy power generation project are calculated, the calculation result and the efficiency level are displayed together, the low-carbon efficiency of the green energy power generation project is comprehensively estimated and displayed, and the operation and maintenance requirements of the green energy power generation project can be accurately fed back through the low-carbon efficiency level, the carbon emission reduction and the carbon neutralization indexes of the green energy power generation project, so that the operation and maintenance efficiency is improved. When the low-carbon efficiency evaluation is carried out, the power grid data of the green energy power generation project is predicted through analysis of the historical data, and the equipment operation condition of the green energy power generation project is judged through comparison of the actual power grid data and the predicted power grid data, so that the equipment can be timely warned when the equipment fails. The operation condition of the green energy power generation project is monitored in real time through low-carbon efficiency evaluation, operation and maintenance requirements and fault conditions of the green energy power generation project can be timely acquired in the monitoring process, so that operation and maintenance efficiency and fault resolution efficiency are improved, and the power generation efficiency of the green energy power generation efficiency is further improved.
Drawings
FIG. 1 is a schematic flow diagram of the present invention;
FIG. 2 is a schematic view of a construction of the present invention;
wherein: 1. the system comprises a data acquisition module, a data analysis module, a display module, an evaluation standard database and a power grid data storage unit.
Detailed Description
The invention is further described below with reference to the drawings and examples.
Examples:
A green energy low-carbon efficiency monitoring method is shown in fig. 1, and comprises the following steps:
step one, determining a monitoring area, wherein a data acquisition module 1 acquires power grid data of all green energy power generation projects in the monitoring area, and the data acquisition module 1 stores the acquired power grid data of all green energy power generation projects into a power grid data storage unit 5;
selecting a green energy power generation project to be monitored, selecting a corresponding low-carbon efficiency evaluation standard by the data analysis module 2, extracting corresponding power grid data in the power grid data storage unit 5, performing low-carbon efficiency evaluation on the green energy power generation project by the data analysis module 2 according to the low-carbon efficiency evaluation standard and the power grid data, and acquiring a low-carbon efficiency grade corresponding to the green energy power generation project by the data analysis module 2 according to a low-carbon efficiency evaluation result;
And thirdly, the data analysis module 2 establishes a low-carbon efficiency evaluation chart according to the low-carbon efficiency grade, the data analysis module 2 transmits the established low-carbon efficiency evaluation chart to the display module 3 for display, and the low-carbon efficiency evaluation chart is specifically displayed in the form of green electric carbon efficiency codes.
Before the low-carbon efficiency evaluation, the data analysis module 2 also judges the energy type of the green energy power generation project, and matches the corresponding low-carbon efficiency evaluation standard from the evaluation standard database 4 according to the energy type.
The low-carbon efficiency evaluation standard comprises an evaluation standard of green energy sources of photovoltaic, wind power or hydropower and an evaluation standard of other green energy sources except for the photovoltaic, wind power or hydropower, and the evaluation standard of the photovoltaic, wind power or hydropower project is specifically as follows: comparing the power generation hours of the green energy power generation project to be evaluated with the average daily power generation hours or the average monthly power generation hours of all the green energy power generation projects in the monitoring area, wherein the green energy power generation project is of primary low-carbon efficiency when the power generation hours of the green energy power generation project are more than 80% of the average daily power generation hours or the average monthly power generation hours; when the power generation hours of the green energy power generation project are in the range of 60-80% of the average power generation hours of the day or the average power generation hours of the month, the green energy power generation project has the secondary low-carbon efficiency; when the power generation hours of the green energy power generation project are in the range of 30-60% of the average power generation hours of the day or the average power generation hours of the month, the green energy power generation project has three-level low-carbon efficiency; when the power generation hours of the green energy power generation project is more than 0 and less than 30% of the average power generation hours of the day or the average power generation hours of the month, the green energy power generation project has four-level low-carbon efficiency; when the number of power generation hours of the green energy power generation project is 0, the power generation efficiency of the green energy power generation project is five-level low-carbon efficiency.
For photovoltaic power generation projects, low carbon efficiency is classified in terms of average number of power generation hours per day. Taking the evaluation of low-carbon efficiency of photovoltaic power generation project in Jinhua city of 2021, 1 month and 1 day as an example:
Taking all distributed photovoltaic projects which are connected in the grid before 1 month and 1 day of Jin Huashi 2021 as targets, removing the green energy power generation project with 0 generated in the Jinhua city of 1 month and 1 year of 2021, then calculating the average power generation hours of the green energy power generation project of the whole city of 1 month and 1 year, wherein the average power generation hours of the whole city = total daily generated energy/total grid-connected capacity, the total daily generated energy is the total generated energy of the grid-connected project before 1 month and 1 day, the grid-connected project does not contain the project with 0 generated energy, the total grid-connected capacity is the sum of the project capacities of the grid-connected project before 1 month and 1 day, and the grid-connected project does not contain the project with 0 generated energy.
And the wind power or the water power is subjected to low-carbon efficiency evaluation by adopting the average power generation hours in months, wherein the average power generation hours in months are the average value of the power generation hours in months corresponding to the past year, and the maximum value is 5 years, so that the reliability of data is ensured. Month power generation hours = actual month internet calculated electricity/installed capacity.
When the data analysis module 2 performs low-carbon efficiency evaluation on a photovoltaic, wind power or hydropower project, the data analysis module 2 also extracts the historical power generation hours of the green energy power generation project in the power grid data storage unit 5, constructs a power generation hours development trend chart corresponding to the green energy power generation project according to the historical power generation hours, predicts the power generation hours corresponding to the low-carbon efficiency evaluation according to the power generation hours development trend chart, compares the actual power generation hours of the green energy power generation project when the low-carbon efficiency evaluation is performed with the power generation hours, obtains a power generation hours difference value when the actual power generation hours is smaller than the power generation hours preset value, compares the power generation hours difference value with a preset threshold, and sends out a fault alarm of the green energy power generation project equipment when the power generation hours difference value is larger than the preset threshold.
The evaluation criteria for other green energy sources than photovoltaic, wind power or hydropower are specifically as follows: acquiring the month generating capacity of a green energy power generation project, and if the month generating capacity of the green energy power generation project is greater than 0, the green energy power generation project is of primary low-carbon efficiency; and if the monthly power generation amount of the green energy power generation project is less than or equal to 0, the green energy power generation project is five-level low-carbon efficiency.
When the low-carbon efficiency evaluation result is the first-level low-carbon efficiency, the data analysis module 2 establishes a green carbon efficiency code; when the low-carbon efficiency evaluation result is the secondary low-carbon efficiency, the data analysis module 2 establishes a blue green electric carbon efficiency code; when the low-carbon efficiency evaluation result is three-level low-carbon efficiency, the data analysis module 2 establishes a yellow green carbon efficiency code; when the low-carbon efficiency evaluation result is the four-level low-carbon efficiency, the data analysis module 2 establishes an orange green carbon efficiency code; when the low-carbon performance evaluation result is five-level low-carbon performance, the data analysis module 2 establishes a red green carbon effect code.
The data analysis module 2 also calculates the carbon emission reduction amount and the carbon neutralization index of the green energy power generation project through the power grid data of the green energy power generation project, and the data analysis module 2 transmits the calculation results of the carbon emission reduction amount and the carbon neutralization index to the display module 3 to be displayed together with the green electricity carbon effect code.
The calculation formula of the carbon emission reduction capacity of the green energy power generation project is as follows:
Cod＝W*0.997
wherein: cod is the carbon dioxide emission reduction amount, and W is the green energy power generation amount;
The calculation formula of the carbon neutralization index is:
wherein gamma is an in-situ power carbon neutralization index, p is a user generated energy, w 1 is an associated user used energy, and w 2 is a user spontaneous self-used energy.
The system for monitoring the low-carbon efficiency of the green energy comprises a data acquisition module 1, a data analysis module 2, a display module 3, an evaluation standard database 4 and a power grid data storage unit 5, wherein the data acquisition module 1 is connected with the data analysis module 2, the data acquisition module 1 is used for acquiring power grid data of a green energy power generation project, and the data analysis module 2 is used for evaluating the low-carbon efficiency of the green energy power generation project and establishing a corresponding green carbon efficiency code; the display module 3 is connected with the data analysis module 2, and the display module 3 is used for displaying the green electricity carbon effect code and the calculated values of the carbon emission reduction amount and the carbon neutralization index established by the data analysis module 2.
The evaluation standard database 4 is connected with the data analysis module 2, the evaluation standard database 4 is used for providing evaluation standards required by low-carbon efficiency evaluation for the data analysis module 2, the power grid data storage unit 5 is simultaneously connected with the data acquisition module 1 and the data analysis module 2, and the power grid data storage unit 5 is used for storing power generation data of a green energy power generation project.
The above-described embodiment is only a preferred embodiment of the present invention, and is not limited in any way, and other variations and modifications may be made without departing from the technical aspects set forth in the claims.
Claims (6)
1. The green energy low-carbon efficiency monitoring method is characterized by comprising the following steps of:
Step one, determining a monitoring area, wherein a data acquisition module (1) acquires power grid data of all green energy power generation projects in the monitoring area, and the data acquisition module (1) stores the acquired power grid data of all green energy power generation projects into a power grid data storage unit (5);
Selecting a green energy power generation project to be monitored, selecting a corresponding low-carbon efficiency evaluation standard by the data analysis module (2) and extracting corresponding power grid data in the power grid data storage unit (5), performing low-carbon efficiency evaluation on the green energy power generation project by the data analysis module (2) according to the low-carbon efficiency evaluation standard and the power grid data, and acquiring a low-carbon efficiency grade corresponding to the green energy power generation project by the data analysis module (2) according to a low-carbon efficiency evaluation result;
Step three, the data analysis module (2) establishes a low-carbon efficiency evaluation chart according to the low-carbon efficiency grade, and the data analysis module (2) transmits the established low-carbon efficiency evaluation chart to the display module (3) for display;
The data analysis module (2) also judges the energy type of the green energy power generation project before low-carbon efficiency evaluation, and matches corresponding low-carbon efficiency evaluation standards from the evaluation standard database (4) according to the energy type;
The low-carbon efficiency evaluation standard comprises an evaluation standard of green energy sources of photovoltaic, wind power or hydropower and an evaluation standard of other green energy sources except for the photovoltaic, wind power or hydropower, and the evaluation standard of the photovoltaic, wind power or hydropower project is specifically as follows: comparing the power generation hours of the green energy power generation project to be evaluated with the daily average power generation hours or the month average power generation hours of the same type of green energy power generation project in all monitoring areas, wherein the green energy power generation project is of primary low-carbon efficiency when the power generation hours of the green energy power generation project are more than 80% of the daily average power generation hours or the month average power generation hours; when the power generation hours of the green energy power generation project are in the range of 60-80% of the average power generation hours of the day or the average power generation hours of the month, the green energy power generation project has the secondary low-carbon efficiency; when the power generation hours of the green energy power generation project are in the range of 30-60% of the average power generation hours of the day or the average power generation hours of the month, the green energy power generation project has three-level low-carbon efficiency; when the power generation hours of the green energy power generation project is more than 0 and less than 30% of the average power generation hours of the day or the average power generation hours of the month, the green energy power generation project has four-level low-carbon efficiency; when the number of power generation hours of the green energy power generation project is 0, the power generation efficiency of the green energy power generation project is five-level low-carbon efficiency;
When the data analysis module (2) carries out low-carbon efficiency evaluation on a photovoltaic, wind power or hydropower project, the data analysis module (2) also extracts the historical power generation hours of the green energy power generation project in the power grid data storage unit (5), constructs a power generation hours development trend chart corresponding to the green energy power generation project according to the historical power generation hours, the data analysis module (2) predicts a power generation hours preset value corresponding to the low-carbon efficiency evaluation according to the power generation hours development trend chart, the data analysis module (2) compares the actual power generation hours of the green energy power generation project when the low-carbon efficiency evaluation is carried out with the power generation hours preset value, when the actual power generation hours is smaller than the power generation hours preset value, obtains a power generation hours difference value, compares the power generation hours difference value with a preset threshold, and sends out a fault alarm of green energy power generation project equipment when the power generation hours difference value is larger than the preset threshold;
The evaluation criteria for other green energy sources than photovoltaic, wind power or hydropower are specifically as follows: acquiring the month generating capacity of a green energy power generation project, and if the month generating capacity of the green energy power generation project is greater than 0, the green energy power generation project is of primary low-carbon efficiency; and if the monthly power generation amount of the green energy power generation project is less than or equal to 0, the green energy power generation project is five-level low-carbon efficiency.
2. The method for monitoring low-carbon performance of green energy according to claim 1, wherein when the low-carbon performance evaluation result is a first-level low-carbon performance, the data analysis module (2) establishes a green low-carbon performance evaluation chart; when the low-carbon efficiency evaluation result is the secondary low-carbon efficiency, the data analysis module (2) establishes a blue low-carbon efficiency evaluation chart; when the low-carbon efficiency evaluation result is three-level low-carbon efficiency, the data analysis module (2) establishes a yellow low-carbon efficiency evaluation chart; when the low-carbon efficiency evaluation result is four-level low-carbon efficiency, the data analysis module (2) establishes an orange low-carbon efficiency evaluation chart; when the low-carbon performance evaluation result is five-level low-carbon performance, the data analysis module (2) establishes a red low-carbon performance evaluation chart.
3. The green energy low-carbon efficiency monitoring method according to claim 1, wherein the data analysis module (2) further calculates carbon emission reduction and carbon neutralization index of the green energy power generation project through power grid data of the green energy power generation project, and the data analysis module (2) transmits calculation results of the carbon emission reduction and carbon neutralization index to the display module (3) to be displayed in a unified mode with the low-carbon efficiency evaluation graph.
4. The method for monitoring low carbon efficiency of green energy according to claim 3, wherein the calculation formula of carbon emission reduction of the green energy power generation project is:
Cod＝W*0.997
wherein: cod is the carbon dioxide emission reduction amount, and W is the green energy power generation amount;
The calculation formula of the carbon neutralization index is:
wherein gamma is an in-situ power carbon neutralization index, p is a user generated energy, w 1 is an associated user used energy, and w 2 is a user spontaneous self-used energy.
5. A green energy low-carbon efficiency monitoring system for executing the green energy low-carbon efficiency monitoring method according to any one of claims 1 to 4, which is characterized by comprising a data acquisition module (1), a data analysis module (2) and a display module (3), wherein the data acquisition module (1) is connected with the data analysis module (2), the data acquisition module (1) is used for acquiring power grid data of a green energy power generation project, and the data analysis module (2) is used for performing low-carbon efficiency evaluation of the green energy power generation project and establishing a corresponding low-carbon efficiency evaluation graph; the display module (3) is connected with the data analysis module (2), and the display module (3) is used for displaying the low-carbon efficiency evaluation chart established by the data analysis module (2) and the calculated values of the carbon emission reduction and carbon neutralization indexes.
6. The system for monitoring the low-carbon efficiency of the green energy source according to claim 5, further comprising an evaluation standard database (4) and a power grid data storage unit (5), wherein the evaluation standard database (4) is connected with the data analysis module (2), the evaluation standard database (4) is used for providing evaluation standards required for evaluating the low-carbon efficiency for the data analysis module (2), and the power grid data storage unit (5) is connected with the data acquisition module (1) and the data analysis module (2) at the same time, and the power grid data storage unit (5) is used for storing power generation data of the power generation project of the green energy source.
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| CN111520841A (en) * | 2020-03-30 | 2020-08-11 | 国网天津市电力公司电力科学研究院 | Regulation strategy of combined cooling, heating and power generation system based on high-efficiency and low-carbon emission criteria |
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| CN111520841A (en) * | 2020-03-30 | 2020-08-11 | 国网天津市电力公司电力科学研究院 | Regulation strategy of combined cooling, heating and power generation system based on high-efficiency and low-carbon emission criteria |
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