CN117611227A - Air quality-based electricity price adjustment method and device, electronic equipment and medium - Google Patents
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Abstract
The present disclosure relates to an air quality-based electricity price adjustment method, apparatus, electronic device, and medium, the method determining a target pollution source having a contribution value to a specified pollutant concentration greater than or equal to a preset contribution value threshold from a plurality of pollution sources; determining an impact value of the target pollution source on a specified pollutant concentration in each specified time period; determining an electricity price adjustment time period of the target pollution source according to the influence value of the target pollution source on the concentration of the specified pollutant in each specified time period; adjusting the electricity price in the electricity price adjustment time period of the target pollution source according to a preset electricity price adjustment strategy; the electricity price adjustment time period of the target pollution source can be determined based on the influence value of the target pollution source on the concentration of the specified pollutant in each specified time period, and then the electricity price of the target pollution source is adjusted according to the electricity price adjustment time period, so that the electricity price favorable for improving the air quality can be effectively obtained.
Description
Technical Field
The disclosure relates to the technical field of environmental protection, in particular to an air quality-based electricity price adjustment method, an air quality-based electricity price adjustment device, electronic equipment and a medium.
Background
With the development of modern industrialization, the air pollution problem is becoming serious, and improving the air quality has become a focus of current social attention, and how to guide polluted enterprises or individuals to reduce pollution or implement air quality improvement measures has become one of the directions to solve the air quality problem considered by the current environmental protection department.
Disclosure of Invention
The invention aims to provide an air quality-based electricity price adjustment method, an air quality-based electricity price adjustment device, electronic equipment and a medium.
To achieve the above object, a first aspect of the present disclosure provides an air quality-based electricity price adjustment method, the method including:
determining a target pollution source with a contribution value to the designated pollutant concentration greater than or equal to a preset contribution value threshold value from a plurality of pollution sources;
determining an influence value of the target pollution source on the specified pollutant concentration in each specified time period, wherein the influence value is used for measuring the influence degree on the specified pollutant concentration;
determining an electricity price adjustment time period of the target pollution source according to the influence value of the target pollution source on the concentration of the specified pollutant in each specified time period;
and adjusting the electricity price in the electricity price adjustment time period of the target pollution source according to a preset electricity price adjustment strategy.
Optionally, the determining, from the plurality of pollution sources, a target pollution source with a contribution value to the specified pollutant concentration greater than or equal to a preset contribution value threshold value includes:
acquiring meteorological background data of a target area in a historical time period, a background gridding list and a self-gridding list corresponding to each pollution source to be evaluated in the target area, wherein the background gridding list is a gridding emission list corresponding to other pollution sources except the pollution sources to be evaluated in the target area, and the self-gridding list is a gridding emission list only comprising the pollution sources to be evaluated;
determining a standby grid emission list after emission data of each specified time period in a plurality of specified time periods are cleared according to the self grid emission list of each pollution source to be evaluated, so as to obtain a plurality of standby grid emission lists corresponding to the specified time periods;
determining a first contribution value of the self-meshing list corresponding to each pollution source to be evaluated to the designated pollutant concentration and a second contribution value of the self-meshing list corresponding to each pollution source to be evaluated to the designated pollutant concentration according to the meteorological background data, the self-meshing list corresponding to each pollution source to be evaluated, the background meshing list and the standby meshing emission list of each designated time period;
And taking the pollution source with the first contribution value larger than or equal to the preset contribution value threshold value of the plurality of pollution sources as the target pollution source.
Optionally, the determining a first contribution value of the self-gridding list corresponding to each pollution source to be evaluated to the specified pollutant concentration and a second contribution value of the self-gridding list corresponding to each pollution source to be evaluated to the specified pollutant concentration according to the meteorological background data, the self-gridding list corresponding to each pollution source to be evaluated, the background gridding list, and the standby gridding emission list of each specified time period includes:
determining a total grid emission list corresponding to the pollution sources according to the self grid list, the background grid list and the standby grid emission list corresponding to each pollution source to be evaluated;
inputting the total meshed emission list, the meteorological background data, the standby meshed emission list and the self meshed emission list of each specified time period and the background meshed emission list into a preset air quality mode to simulate so as to obtain the first contribution value of the self meshed emission list corresponding to the pollution source to the specified pollutant concentration and the second contribution value of the standby meshed emission list of each specified time period to the specified pollutant concentration.
Optionally, the determining a total grid emission list corresponding to the pollution source according to the self grid list, the background grid list and the standby grid emission list of each designated time period corresponding to each pollution source to be evaluated includes:
and fusing the background gridding list, the self gridding list and the pollution source emission data in the standby gridding emission list of each specified time period according to the corresponding relation of the grid positions for each pollution source to be evaluated so as to obtain a total gridding emission list corresponding to the pollution source.
Optionally, the determining the impact value of the target pollution source on the specified pollutant concentration in each specified time period includes:
determining a target difference value of a first contribution value corresponding to the target pollution source and a second contribution value corresponding to each appointed time period;
and taking the target difference value corresponding to the specified time period as an influence value of the target pollution source in the specified time period on the specified pollutant concentration.
Optionally, the determining the electricity price adjustment time period of the target pollution source according to the influence value of the target pollution source on the specified pollutant concentration in each specified time period includes:
And taking the appointed time period with the influence value larger than or equal to a preset influence threshold value as the electricity price adjustment time period of the target pollution source.
Optionally, the adjusting the electricity price in the electricity price adjustment time period of the target pollution source according to a preset electricity price adjustment strategy includes:
under the condition that the preset electricity price adjustment strategy is a valley peak time-of-use electricity price strategy, adjusting the electricity price of the target pollution source in the electricity price adjustment time period to a preset peak value;
and adjusting the electricity price of the target pollution source in other time periods except the electricity price adjustment time period to a preset valley value.
A second aspect of the present disclosure provides an air quality-based electricity price adjustment device, the device comprising:
a first determination module configured to determine a target pollution source from a plurality of pollution sources having a contribution to a specified pollutant concentration greater than or equal to a preset contribution threshold;
a second determination module configured to determine an impact value of the target pollution source on a specified pollutant concentration for each specified time period, the impact value being used to measure an extent of impact on the specified pollutant concentration;
a third determination module configured to determine an electricity price adjustment time period of the target pollution source according to an influence value of the target pollution source on a specified pollutant concentration in each specified time period;
And the adjustment module is configured to adjust the electricity price of the target pollution source in the electricity price adjustment time period according to a preset electricity price adjustment strategy.
Optionally, the first determining module is configured to:
acquiring meteorological background data of a target area in a historical time period, a background gridding list and a self-gridding list corresponding to each pollution source to be evaluated in the target area, wherein the background gridding list is a gridding emission list corresponding to other pollution sources except all the pollution sources to be evaluated in the target area, and the self-gridding list is a gridding emission list only comprising the pollution sources to be evaluated;
determining a standby grid emission list after emission data of each specified time period in a plurality of specified time periods are cleared according to the self grid emission list of each pollution source to be evaluated, so as to obtain a plurality of standby grid emission lists corresponding to the specified time periods;
determining a first contribution value of the self-meshing list corresponding to each pollution source to be evaluated to the designated pollutant concentration and a second contribution value of the self-meshing list corresponding to each pollution source to be evaluated to the designated pollutant concentration according to the meteorological background data, the self-meshing list corresponding to each pollution source to be evaluated, the background meshing list and the standby meshing emission list of each designated time period;
And taking the pollution source with the first contribution value larger than or equal to the preset contribution value threshold value of the plurality of pollution sources as the target pollution source.
Optionally, the first determining module is configured to:
determining a total grid emission list corresponding to the pollution sources according to the self grid list, the background grid list and the standby grid emission list corresponding to each pollution source to be evaluated;
inputting the total meshed emission list, the meteorological background data, the standby meshed emission list and the self meshed emission list of each specified time period and the background meshed emission list into a preset air quality mode to simulate so as to obtain the first contribution value of the self meshed emission list corresponding to the pollution source to the specified pollutant concentration and the second contribution value of the standby meshed emission list of each specified time period to the specified pollutant concentration.
Optionally, the first determining module is configured to:
and fusing the background gridding list, the self gridding list and the pollution source emission data in the standby gridding emission list of each specified time period according to the corresponding relation of the grid positions for each pollution source to be evaluated so as to obtain a total gridding emission list corresponding to the pollution source.
Optionally, the second determining module is configured to:
determining a target difference value of a first contribution value corresponding to the target pollution source and a second contribution value corresponding to each appointed time period;
and taking the target difference value corresponding to the specified time period as an influence value of the target pollution source in the specified time period on the specified pollutant concentration.
Optionally, the third determining module is configured to:
and taking the appointed time period with the influence value larger than or equal to a preset influence threshold value as the electricity price adjustment time period of the target pollution source.
Optionally, the adjustment module is configured to:
under the condition that the preset electricity price adjustment strategy is a valley peak time-of-use electricity price strategy, adjusting the electricity price of the target pollution source in the electricity price adjustment time period to a preset peak value;
and adjusting the electricity price of the target pollution source in other time periods except the electricity price adjustment time period to a preset valley value.
A third aspect of the present disclosure provides a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the method of the first aspect above.
A fourth aspect of the present disclosure provides an electronic device, comprising:
a memory having a computer program stored thereon;
a processor for executing the computer program in the memory to implement the steps of the method of the first aspect above.
According to the technical scheme, the target pollution source with the contribution value to the designated pollutant concentration being greater than or equal to the preset contribution value threshold value is determined from the plurality of pollution sources; determining an influence value of the target pollution source on the specified pollutant concentration in each specified time period, wherein the influence value is used for measuring the influence degree on the specified pollutant concentration; determining an electricity price adjustment time period of the target pollution source according to the influence value of the target pollution source on the concentration of the specified pollutant in each specified time period; adjusting the electricity price in the electricity price adjustment time period of the target pollution source according to a preset electricity price adjustment strategy; the electricity price adjustment time period of the target pollution source can be determined based on the influence value of the target pollution source on the concentration of the specified pollutant in each specified time period, and then the electricity price of the target pollution source is adjusted according to the electricity price adjustment time period, so that the electricity price favorable for improving the air quality can be effectively obtained.
Additional features and advantages of the present disclosure will be set forth in the detailed description which follows.
Drawings
The accompanying drawings are included to provide a further understanding of the disclosure, and are incorporated in and constitute a part of this specification, illustrate the disclosure and together with the description serve to explain, but do not limit the disclosure. In the drawings:
FIG. 1 is a flow chart of a method of air quality based electricity price adjustment, as shown in an exemplary embodiment of the present disclosure;
FIG. 2 is a flow chart of a method of air quality based electricity price adjustment according to the embodiment shown in FIG. 1;
FIG. 3 is a flow chart of a method of air quality based electricity price adjustment according to the embodiment shown in FIG. 2;
FIG. 4 is a flow chart of another air quality based electricity price adjustment method according to the embodiment shown in FIG. 1;
FIG. 5 is a block diagram of an air quality based electricity price adjustment device shown in an exemplary embodiment of the present disclosure;
FIG. 6 is a block diagram of an electronic device, shown in accordance with an exemplary embodiment;
fig. 7 is a block diagram of another electronic device, shown in accordance with an exemplary embodiment.
Detailed Description
Specific embodiments of the present disclosure are described in detail below with reference to the accompanying drawings. It should be understood that the detailed description and specific examples, while indicating and illustrating the disclosure, are not intended to limit the disclosure.
It should be noted that, all actions for acquiring signals, information or data in the present disclosure are performed under the condition of conforming to the corresponding data protection rule policy of the country of the location and obtaining the authorization given by the owner of the corresponding device.
FIG. 1 is a flow chart of a method of air quality based electricity price adjustment, as shown in an exemplary embodiment of the present disclosure; as shown in fig. 1, the method may include:
step 101, determining a target pollution source with a contribution value greater than or equal to a preset contribution value threshold value for a specified pollutant concentration from a plurality of pollution sources.
Wherein the specified contaminant concentration may be a primary air contaminant concentration, such as a sulfur dioxide concentration, a nitrogen oxide concentration, a particulate contaminant concentration, and the like.
Step 102, determining an impact value of the target pollution source on a specified pollutant concentration in each specified time period.
Wherein the impact value is used to measure the extent of impact on a given contaminant concentration. The impact value may be represented by specifying the amount of change in the concentration of the contaminant.
Note that the specified period of time may be 1: a period of time between 00 and 24:00, for example, may be 01:00 to 02:00, 02:00 to 03:00 or 03:00 to 04:00, etc., and may also be 01:15 to 02:30 or 02:30 to 03:40, etc. In addition, the emission amount of each hour in the day is generally included in the emission list, for example, the emission amount corresponding to 1, the emission amount corresponding to 2, the emission amount corresponding to 3, and the like, where the emission amount corresponding to 1 can be understood as 01: the corresponding emissions at 00 to 02:00, and at 2 can be understood as 02:00 to 03:00, and 3 may correspond to 03: the corresponding emissions at 24 can be understood as 23 with 00 to 04:00: and the corresponding discharge amount is 00 to 24:00.
And step 103, determining the electricity price adjustment time period of the target pollution source according to the influence value of the target pollution source on the concentration of the specified pollutant in each specified time period.
In this step, a specified period of time in which the influence value is greater than or equal to a preset influence threshold may be used as the electricity price adjustment period of time for the target pollution source.
And step 104, adjusting the electricity price in the electricity price adjustment time period of the target pollution source according to a preset electricity price adjustment strategy.
The preset power price adjustment policy may be a valley peak time-sharing adjustment policy, or preset power price data, where the preset power price data may include a first preset power price in a power price adjustment time period and a second preset power price outside the power price adjustment time period.
In this step, the electricity price of the target pollution source in the electricity price adjustment time period may be adjusted to a preset peak value under the condition that the preset electricity price adjustment policy is a valley peak time-of-use electricity price policy; and adjusting the electricity price of the target pollution source in other time periods except the electricity price adjustment time period to a preset valley value.
The peak-valley time-sharing adjustment strategy is to divide 24 hours per day into a plurality of periods such as peak, flat section and valley according to the load change condition of the power grid, and respectively make different electricity price levels for each period so as to encourage electricity customers to reasonably arrange electricity utilization time, cut peaks and fill valleys and improve the utilization efficiency of electric power resources. The peak-valley time-sharing electricity price in the peak-valley time-sharing adjustment strategy is an electricity price system for respectively calculating the electricity charge according to the peak electricity consumption and the valley electricity consumption. The peak electricity consumption generally refers to the electricity consumption when the electricity consumption unit is concentrated and the power supply is in tension, for example, the charging standard is higher in the daytime; the electricity consumption in the valley generally refers to the electricity consumption when the electricity consumption unit is less and the electricity supply is more sufficient, for example, the charging standard is lower at night. The implementation of peak-valley electricity price is beneficial to promoting the staggered electricity utilization time of electricity utilization units, and fully utilizes equipment and energy sources; the peak-to-peak time-sharing adjustment strategy can be applied to the air quality improvement process, so that the load of a power grid can be effectively reduced, and the air quality can be effectively improved; that is, under the condition that the preset electricity price adjustment strategy is a valley peak time-sharing adjustment strategy, the load of the power grid can be effectively reduced, enterprises are guided to reasonably arrange production time in a peak-valley electricity price mode, peak clipping and valley filling are performed, and the air quality can be effectively improved.
According to the technical scheme, the electricity price adjustment time period of the target pollution source can be determined based on the influence value of the target pollution source on the concentration of the specified pollutant in each specified time period, and then the electricity price of the target pollution source is adjusted according to the electricity price adjustment time period, so that the electricity price favorable for improving the air quality can be effectively obtained.
FIG. 2 is a flow chart of a method of air quality based electricity price adjustment according to the embodiment shown in FIG. 1; as shown in fig. 2, determining a target pollution source from the plurality of pollution sources having a contribution value to the specified pollutant concentration greater than or equal to the preset contribution value threshold, as described in step 101 in fig. 1, may include:
and step 1011, acquiring weather background data of a target area in a historical time period, a background gridding list and a self gridding list corresponding to each pollution source to be evaluated in the target area.
The background gridding list is a gridding emission list corresponding to other pollution sources except all pollution sources to be evaluated in the target area, and the self-gridding list is a gridding emission list only comprising the pollution sources to be evaluated.
For example, if the target area includes 5 pollution sources to be evaluated, including an a pollution source, a B pollution source, a C pollution source, a D pollution source, and an E pollution source, the background gridding list is a gridding emission list of emission data of other pollution sources except the a pollution source, the B pollution source, the C pollution source, the D pollution source, and the E pollution source in the target area; the self-meshing list corresponding to the pollution source A is a meshing emission list only comprising emission data of the pollution source A, and the self-meshing list corresponding to the pollution source B is a meshing emission list only comprising emission data of the pollution source B.
Step 1012, determining a standby grid emission list after emission data of each specified time period in a plurality of specified time periods is cleared according to the self grid emission list of each pollution source to be evaluated, so as to obtain a plurality of standby grid emission lists corresponding to the specified time periods.
Wherein the self-gridding list includes emission data of each hour in each day, such as an emission amount corresponding to 1 time, an emission amount corresponding to 2 times, an emission amount corresponding to 3 times, and the like, where the emission amount corresponding to 1 times can be understood as 01: the corresponding emissions at 00 to 02:00, and at 2 can be understood as 02:00 to 03:00, and 3 may correspond to 03: the corresponding emissions at 24 can be understood as 23 with 00 to 04:00: and the corresponding discharge amount is 00 to 24:00.
In the step, when the standby gridding emission list corresponding to the pollution source 1 at the time of 1 is obtained, emission data at the time of 1 in the self gridding emission list corresponding to the pollution source 1 can be cleared, and the emission data at other moments can be obtained unchanged; when the standby gridding emission list corresponding to the pollution source No. 1 in the time 2 is obtained, emission data in the time 2 in the self gridding emission list corresponding to the pollution source No. 1 can be cleared, and the emission data in other moments can be obtained unchanged; and similarly, the emission data corresponding to the current designated time period is cleared, and the emission data at the rest moments is unchanged, so that a standby gridded emission list corresponding to each designated time period can be obtained.
Step 1013, determining a first contribution value of the self-meshing list corresponding to each pollution source to be evaluated to the designated pollutant concentration and a second contribution value of the self-meshing list corresponding to each pollution source to be evaluated to the designated pollutant concentration according to the meteorological background data, the self-meshing list corresponding to each pollution source to be evaluated, the background meshing list and the standby meshing emission list of each designated time period.
This step may be implemented by the steps shown in fig. 3, fig. 3 being a flowchart showing a power rate adjustment method based on air quality according to the embodiment shown in fig. 2; as shown in fig. 3, an embodiment of step 1013 in fig. 2 may be:
s1, determining a total grid emission list corresponding to the pollution sources according to the self grid list, the background grid list and the standby grid emission list of each pollution source to be evaluated.
According to the method, for each pollution source to be evaluated, a background gridding list, the self gridding list and pollution source emission data in the standby gridding emission list of each designated time period at the same grid position can be fused according to the grid position corresponding relation, so that a total gridding emission list corresponding to the pollution source is obtained.
It should be noted that, the fusion herein may be understood as adding emission data of multiple grids of the same location to obtain a total grid emission list corresponding to the pollution source.
S2, inputting the total meshed emission list, the meteorological background data, the standby meshed emission list and the self meshed emission list of each specified time period and the background meshed emission list into a preset air quality mode to simulate so as to obtain the first contribution value of the self meshed emission list corresponding to the pollution source to the specified pollutant concentration and the second contribution value of the standby meshed emission list of each specified time period to the specified pollutant concentration.
The preset air quality mode may be an air quality mode with a source analysis function, such as a CMAQ (public multi-scale air quality model), a CAMx (extended integrated air quality model), a NAQPMS (nested grid air quality mode system), and the like, and the source analysis function belongs to a relatively mature and common function in the prior art of the air quality mode, which is not described in detail herein.
It should be noted that, in this step, the total grid emission list, the standby grid emission list of each specified time period, the background grid list of each specified time period, and the contribution value of the self grid list to the specified pollutant concentration can be obtained through one-time simulation, so that the simulation efficiency of the air quality result corresponding to the emission reduction measure can be effectively improved, and a reliable data basis can be provided for the determination of the subsequent electricity price adjustment time period.
Step 1014, using a pollution source of the plurality of pollution sources, the first contribution value of which is greater than or equal to the preset contribution value threshold value, as the target pollution source.
According to the technical scheme, the total grid emission list, the standby grid emission list of each designated time period, the self grid list of each designated time period and the background grid list can be obtained through one-time simulation, and the contribution values of the self grid list and the background grid list to the designated pollutant concentration can be respectively improved, so that the simulation efficiency of the air quality result corresponding to the emission reduction measures can be effectively improved, the time consumption required by the whole electricity price determining process can be effectively shortened, and reliable data basis can be provided for implementation of the air quality improvement measures based on electricity price adjustment.
FIG. 4 is a flow chart of another air quality based electricity price adjustment method according to the embodiment shown in FIG. 1; as shown in fig. 4, the determining the impact value of the target pollution source on the specified pollutant concentration for each specified time period described in step 102 of fig. 1 may include:
step 1021, determining a target difference value between the first contribution value corresponding to the target pollution source and the second contribution value corresponding to each designated time period.
The first contribution value corresponding to the target pollution source is a contribution value of the self-meshing list corresponding to the target pollution source to the designated pollutant concentration, and is used for representing the contribution value of the target pollution source to the designated pollutant concentration under the condition of no emission reduction; and the second contribution value corresponding to each appointed time period is used for representing the contribution value of the target pollution source to the appointed pollutant concentration when no pollutant is discharged in the appointed time period and other time periods are all normally discharged. The target difference between the first contribution value corresponding to the target pollution source and the second contribution value corresponding to each specified time period can represent the influence value of the target pollution source on the specified pollutant concentration of the target area in the specified time period.
Step 1022, taking the target difference value corresponding to the specified time period as an influence value of the target pollution source in the specified time period on the specified pollutant concentration.
According to the technical scheme, the influence value of the target pollution source on the concentration of the specified pollutant in each specified time period can be determined through the target difference value of the first contribution value corresponding to the target pollution source and the second contribution value corresponding to each specified time period, and a reliable data basis can be provided for the determination of the subsequent electricity price adjustment time period.
Fig. 5 is a block diagram of an air quality-based electricity price adjustment device, which may include:
a first determination module 501 configured to determine a target pollution source from a plurality of pollution sources having a contribution to a specified pollutant concentration greater than or equal to a preset contribution threshold;
a second determination module 502 configured to determine an impact value of the target pollution source on a specified pollutant concentration for each specified time period, the impact value being used to measure an extent of impact on the specified pollutant concentration;
a third determining module 503 configured to determine an electricity price adjustment time period of the target pollution source according to an influence value of the target pollution source on a specified pollutant concentration at each specified time period;
an adjustment module 504 configured to adjust the power rate within the power rate adjustment time period of the target pollution source according to a preset power rate adjustment policy.
According to the technical scheme, the electricity price adjustment time period of the target pollution source can be determined based on the influence value of the target pollution source on the concentration of the specified pollutant in each specified time period, and then the electricity price of the target pollution source is adjusted according to the electricity price adjustment time period, so that the electricity price favorable for improving the air quality can be effectively obtained.
Optionally, the first determining module 501 is configured to:
acquiring meteorological background data of a target area in a historical time period, a background gridding list and a self-gridding list corresponding to each pollution source to be evaluated in the target area, wherein the background gridding list is a gridding emission list corresponding to other pollution sources except all the pollution sources to be evaluated in the target area, and the self-gridding list is a gridding emission list only comprising the pollution sources to be evaluated;
determining a standby grid emission list after emission data of each specified time period in a plurality of specified time periods are cleared according to the self grid emission list of each pollution source to be evaluated, so as to obtain a plurality of standby grid emission lists corresponding to the specified time periods;
determining a first contribution value of the self-meshing list corresponding to each pollution source to be evaluated to the designated pollutant concentration and a second contribution value of the self-meshing list corresponding to each pollution source to be evaluated to the designated pollutant concentration according to the meteorological background data, the self-meshing list corresponding to each pollution source to be evaluated, the background meshing list and the standby meshing emission list of each designated time period;
And taking the pollution source with the first contribution value larger than or equal to the preset contribution value threshold value of the plurality of pollution sources as the target pollution source.
Optionally, the first determining module 501 is configured to:
determining a total grid emission list corresponding to the pollution sources according to the self grid list, the background grid list and the standby grid emission list corresponding to each pollution source to be evaluated;
inputting the total meshed emission list, the meteorological background data, the standby meshed emission list and the self meshed emission list of each specified time period and the background meshed emission list into a preset air quality mode to simulate so as to obtain the first contribution value of the self meshed emission list corresponding to the pollution source to the specified pollutant concentration and the second contribution value of the standby meshed emission list of each specified time period to the specified pollutant concentration.
According to the technical scheme, the total grid emission list, the standby grid emission list of each designated time period, the self grid list of each designated time period and the background grid list can be obtained through one-time simulation, and the contribution values of the self grid list and the background grid list to the designated pollutant concentration can be respectively improved, so that the simulation efficiency of the air quality result corresponding to the emission reduction measures can be effectively improved, the time consumption required by the whole electricity price determining process can be effectively shortened, and reliable data basis can be provided for implementation of the air quality improvement measures based on electricity price adjustment.
Optionally, the first determining module 501 is configured to:
and fusing the background gridding list, the self gridding list and the pollution source emission data in the standby gridding emission list of each specified time period according to the corresponding relation of the grid positions for each pollution source to be evaluated so as to obtain a total gridding emission list corresponding to the pollution source.
Optionally, the second determining module 502 is configured to:
determining a target difference value of a first contribution value corresponding to the target pollution source and a second contribution value corresponding to each appointed time period;
and taking the target difference value corresponding to the specified time period as an influence value of the target pollution source in the specified time period on the specified pollutant concentration.
According to the technical scheme, the influence value of the target pollution source on the concentration of the specified pollutant in each specified time period can be determined through the target difference value of the first contribution value corresponding to the target pollution source and the second contribution value corresponding to each specified time period, and a reliable data basis can be provided for the determination of the subsequent electricity price adjustment time period.
Optionally, the third determining module 503 is configured to:
And taking the appointed time period with the influence value larger than or equal to a preset influence threshold value as the electricity price adjustment time period of the target pollution source.
Optionally, the adjustment module 504 is configured to:
under the condition that the preset electricity price adjustment strategy is a valley peak time-of-use electricity price strategy, adjusting the electricity price of the target pollution source in the electricity price adjustment time period to a preset peak value;
and adjusting the electricity price of the target pollution source in other time periods except the electricity price adjustment time period to a preset valley value.
The specific manner in which the various modules perform the operations in the apparatus of the above embodiments have been described in detail in connection with the embodiments of the method, and will not be described in detail herein.
Fig. 6 is a block diagram of an electronic device, according to an example embodiment. As shown in fig. 6, the electronic device 600 may include: a first processor 601, a first memory 602. The electronic device 600 may also include one or more of a multimedia component 603, a first input/output interface 604, and a first communication component 605.
The first processor 601 is configured to control the overall operation of the electronic device 600 to perform all or part of the steps in the air quality-based electricity price adjustment method. The first memory 602 is used to store various types of data to support operation on the electronic device 600, which may include, for example, instructions for any application or method operating on the electronic device 600, as well as application-related data, such as contact data, transceived messages, pictures, audio, video, and the like. The first Memory 602 may be implemented by any type or combination of volatile or non-volatile Memory devices, such as static random access Memory (Static Random Access Memory, SRAM for short), electrically erasable programmable Read-Only Memory (Electrically Erasable Programmable Read-Only Memory, EPROM for short), programmable Read-Only Memory (Programmable Read-Only Memory, PROM for short), read-Only Memory (ROM for short), magnetic Memory, flash Memory, magnetic disk or optical disk. The multimedia component 603 may include a screen and an audio component. Wherein the screen may be, for example, a touch screen, the audio component being for outputting and/or inputting audio signals. For example, the audio component may include a microphone for receiving external audio signals. The received audio signals may be further stored in the first memory 602 or transmitted through the first communication component 605. The audio assembly further comprises at least one speaker for outputting audio signals. The first input/output interface 604 provides an interface between the first processor 601 and other interface modules, which may be a keyboard, mouse, buttons, etc. These buttons may be virtual buttons or physical buttons. The first communication component 605 is used for wired or wireless communication between the electronic device 600 and other devices. Wireless communication, such as Wi-Fi, bluetooth, near field communication (Near Field Communication, NFC for short), 2G, 3G, 4G, NB-IOT, eMTC, or other 5G, etc., or one or a combination of more of them, is not limited herein. The corresponding first communication component 605 may thus comprise: wi-Fi module, bluetooth module, NFC module, etc.
In an exemplary embodiment, the electronic device 600 may be implemented by one or more application specific integrated circuits (Application Specific Integrated Circuit, abbreviated ASIC), digital signal processor (Digital Signal Processor, abbreviated DSP), digital signal processing device (Digital Signal Processing Device, abbreviated DSPD), programmable logic device (Programmable Logic Device, abbreviated PLD), field programmable gate array (Field Programmable Gate Array, abbreviated FPGA), controller, microcontroller, microprocessor, or other electronic components for performing the air quality based power rate adjustment method described above.
In another exemplary embodiment, a computer readable storage medium is also provided, comprising program instructions which, when executed by a processor, implement the steps of the air quality based electricity price adjustment method described above. For example, the computer readable storage medium may be the first memory 602 including program instructions described above that are executable by the first processor 601 of the electronic device 600 to perform the air quality based electricity price adjustment method described above.
Fig. 7 is a block diagram of another electronic device, shown in accordance with an exemplary embodiment. For example, the electronic device 700 may be provided as a server. Referring to fig. 7, the electronic device 700 includes a second processor 722, which may be one or more in number, and a second memory 732 for storing computer programs executable by the second processor 722. The computer program stored in the second memory 732 may include one or more modules each corresponding to a set of instructions. Further, the second processor 722 may be configured to execute the computer program to perform the air quality-based electricity price adjustment method described above.
In addition, the electronic device 700 can further include a power component 726 and a second communication component 750, the power component 726 can be configured to perform power management of the electronic device 700, and the second communication component 750 can be configured to enable communication of the electronic device 700, e.g., wired or wireless communication. In addition, the electronic device 700 may also include a second input/output interface 758. The electronic device 700 may operate based on an operating system stored in the second memory 732.
In another exemplary embodiment, a computer readable storage medium is also provided, comprising program instructions which, when executed by a processor, implement the steps of the air quality based electricity price adjustment method described above. For example, the non-transitory computer readable storage medium may be the second memory 732 described above that includes program instructions executable by the second processor 722 of the electronic device 700 to perform the air quality based electricity price adjustment method described above.
In another exemplary embodiment, a computer program product is also provided, comprising a computer program executable by a programmable apparatus, the computer program having code portions for performing the above-mentioned air quality based electricity price adjustment method when executed by the programmable apparatus.
The preferred embodiments of the present disclosure have been described in detail above with reference to the accompanying drawings, but the present disclosure is not limited to the specific details of the above embodiments, and various simple modifications may be made to the technical solutions of the present disclosure within the scope of the technical concept of the present disclosure, and all the simple modifications belong to the protection scope of the present disclosure.
In addition, the specific features described in the foregoing embodiments may be combined in any suitable manner, and in order to avoid unnecessary repetition, the present disclosure does not further describe various possible combinations.
Moreover, any combination between the various embodiments of the present disclosure is possible as long as it does not depart from the spirit of the present disclosure, which should also be construed as the disclosure of the present disclosure.
Claims (10)
1. An air quality-based electricity price adjustment method, characterized in that the method comprises the following steps:
determining a target pollution source with a contribution value to the designated pollutant concentration greater than or equal to a preset contribution value threshold value from a plurality of pollution sources;
determining an influence value of the target pollution source on the specified pollutant concentration in each specified time period, wherein the influence value is used for measuring the influence degree on the specified pollutant concentration;
Determining an electricity price adjustment time period of the target pollution source according to the influence value of the target pollution source on the concentration of the specified pollutant in each specified time period;
and adjusting the electricity price in the electricity price adjustment time period of the target pollution source according to a preset electricity price adjustment strategy.
2. The method of claim 1, wherein determining a target pollution source from the plurality of pollution sources having a contribution to the specified concentration of the pollutant greater than or equal to a preset contribution threshold comprises:
acquiring meteorological background data of a target area in a historical time period, a background gridding list and a self-gridding list corresponding to each pollution source to be evaluated in the target area, wherein the background gridding list is a gridding emission list corresponding to other pollution sources except all the pollution sources to be evaluated in the target area, and the self-gridding list is a gridding emission list only comprising the pollution sources to be evaluated;
determining a standby grid emission list after emission data of each specified time period in a plurality of specified time periods are cleared according to the self grid emission list of each pollution source to be evaluated, so as to obtain a plurality of standby grid emission lists corresponding to the specified time periods;
Determining a first contribution value of the self-meshing list corresponding to each pollution source to be evaluated to the designated pollutant concentration and a second contribution value of the self-meshing list corresponding to each pollution source to be evaluated to the designated pollutant concentration according to the meteorological background data, the self-meshing list corresponding to each pollution source to be evaluated, the background meshing list and the standby meshing emission list of each designated time period;
and taking the pollution source with the first contribution value larger than or equal to the preset contribution value threshold value of the plurality of pollution sources as the target pollution source.
3. The method of claim 2, wherein the determining a first contribution value of each self-meshing inventory corresponding to a pollution source under evaluation to the specified pollutant concentration and a second contribution value of each self-meshing inventory corresponding to a pollution source under evaluation to the specified pollutant concentration from the meteorological background data, the self-meshing inventory corresponding to each pollution source under evaluation, the background meshing inventory, and the standby meshing emissions inventory for each specified time period comprises:
determining a total grid emission list corresponding to the pollution sources according to the self grid list, the background grid list and the standby grid emission list corresponding to each pollution source to be evaluated;
Inputting the total meshed emission list, the meteorological background data, the standby meshed emission list and the self meshed emission list of each specified time period and the background meshed emission list into a preset air quality mode to simulate so as to obtain the first contribution value of the self meshed emission list corresponding to the pollution source to the specified pollutant concentration and the second contribution value of the standby meshed emission list of each specified time period to the specified pollutant concentration.
4. A method according to claim 3, wherein said determining a total gridded emissions list corresponding to each pollution source from said self gridded list, said background gridded list, and said standby gridded emissions list for each specified time period corresponding to said pollution source comprises:
and fusing the background gridding list, the self gridding list and the pollution source emission data in the standby gridding emission list of each specified time period according to the corresponding relation of the grid positions for each pollution source to be evaluated so as to obtain a total gridding emission list corresponding to the pollution source.
5. The method of claim 2, wherein said determining the impact value of the target pollution source on a specified pollutant concentration for each specified time period comprises:
determining a target difference value of a first contribution value corresponding to the target pollution source and a second contribution value corresponding to each appointed time period;
and taking the target difference value corresponding to the specified time period as an influence value of the target pollution source in the specified time period on the specified pollutant concentration.
6. The method of claim 1, wherein the determining the electricity price adjustment time period for the target pollution source based on the impact value of the target pollution source on the specified pollutant concentration for each specified time period comprises:
and taking the appointed time period with the influence value larger than or equal to a preset influence threshold value as the electricity price adjustment time period of the target pollution source.
7. The method of claim 1, wherein said adjusting the power rate within the power rate adjustment period of the target pollution source according to a preset power rate adjustment strategy comprises:
under the condition that the preset electricity price adjustment strategy is a valley peak time-of-use electricity price strategy, adjusting the electricity price of the target pollution source in the electricity price adjustment time period to a preset peak value;
And adjusting the electricity price of the target pollution source in other time periods except the electricity price adjustment time period to a preset valley value.
8. An air quality-based electricity price adjustment device, the device comprising:
a first determination module configured to determine a target pollution source from a plurality of pollution sources having a contribution to a specified pollutant concentration greater than or equal to a preset contribution threshold;
a second determination module configured to determine an impact value of the target pollution source on a specified pollutant concentration for each specified time period, the impact value being used to measure an extent of impact on the specified pollutant concentration;
a third determination module configured to determine an electricity price adjustment time period of the target pollution source according to an influence value of the target pollution source on a specified pollutant concentration in each specified time period;
and the adjustment module is configured to adjust the electricity price of the target pollution source in the electricity price adjustment time period according to a preset electricity price adjustment strategy.
9. A non-transitory computer readable storage medium having stored thereon a computer program, which when executed by a processor, implements the steps of the method according to any of claims 1-7.
10. An electronic device, comprising:
a memory having a computer program stored thereon;
a processor for executing the computer program in the memory to implement the steps of the method of any one of claims 1-7.
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