CN112580856A - Multi-time scale source optimization scheduling method for photo-thermal power station to participate in adjustment - Google Patents
Multi-time scale source optimization scheduling method for photo-thermal power station to participate in adjustment Download PDFInfo
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Abstract
The invention discloses a multi-time scale source optimization scheduling method for a photo-thermal power station to participate in regulation, which comprises the following steps: s1: setting the date: setting a recording date, and carrying out interval distribution on the recorded dates; s2: electric quantity detection: detecting the electric quantity converted by the photo-thermal power station, and detecting the electric quantity used by devices of the photo-thermal power station; s3: establishing a model: establishing a model for converting electric quantity and using the electric quantity; s4: optimizing and analyzing: counting information on the model within a certain time, and then optimizing the thermoelectric power station according to an information result; s5: optimizing and implementing: and implementing the opto-thermal power station according to the result of the optimization analysis. By means of the multi-time scale source optimization scheduling method with the photo-thermal power station participating in adjustment, the models are set up to visually display and compare, the photo-thermal power station is optimized, the efficiency of converting electric quantity of the photo-thermal power station is effectively improved, and the electric quantity used by electric appliances in the photo-thermal power station is reduced.
Description
Technical Field
The invention relates to the technical field of power system operation control, in particular to a multi-time scale source optimization scheduling method for a photo-thermal power station to participate in adjustment.
Background
With the increasingly prominent energy and environmental issues, it has become common knowledge to gradually change the energy structure and develop renewable energy. However, renewable energy sources such as solar energy and wind energy have the characteristics of randomness, intermittency and the like, and after the renewable energy sources are connected to a power grid in a large scale, great challenges are brought to the operation and scheduling of a power system. The novel solar-thermal power generation form has a large-capacity heat storage system, can inhibit the influence of solar random fluctuation on output, has good scheduling characteristics and peak regulation capacity, has the regulation speed and depth superior to those of a conventional thermal power generating unit, and is a new energy power generation form capable of being scheduled and controlled. Therefore, the research on the wind power-photovoltaic-photo-thermal power combined power generation optimization scheduling method has important significance for stabilizing the power fluctuation of wind power and photovoltaic power generation and promoting the wind power and photovoltaic absorption.
However, the existing multi-time scale source optimization scheduling method for the photo-thermal power station to participate in adjustment is complex to operate, the efficiency of converting electricity of the photo-thermal power station cannot be effectively improved, and the electricity used by electric appliances in the photo-thermal power station is high.
Disclosure of Invention
The invention provides a multi-time scale source optimization scheduling method for a photo-thermal power station to participate in regulation, which is based on the technical problems that the operation of the multi-time scale source optimization scheduling method for the photo-thermal power station to participate in regulation is complex, the efficiency of converting electricity of the photo-thermal power station cannot be effectively improved, and the electricity consumption of an electric appliance in the photo-thermal power station is high in the background art.
The invention provides a multi-time scale source optimization scheduling method for a photo-thermal power station to participate in regulation, which comprises the following steps:
s1: setting the date: setting a recording date, and carrying out interval distribution on the recorded dates;
s2: electric quantity detection: detecting the electric quantity converted by the photo-thermal power station, and detecting the electric quantity used by devices of the photo-thermal power station;
s3: establishing a model: establishing a model for converting electric quantity and using the electric quantity;
s4: optimizing and analyzing: counting information on the model within a certain time, and then optimizing the thermoelectric power station according to an information result;
s5: optimizing and implementing: implementing the opto-thermal power station according to the result of the optimization analysis;
s6: and (3) comparison treatment: the results of the optimization run were compared to previous results.
Preferably, in S1, the recording date is archived, and the recording dates are distributed at intervals of 1-3 h.
Preferably, in S2, the statistics is performed after the detection of the electric quantity converted by the photothermal power station, and the statistics is performed after the detection of the electric quantity used by the photothermal power station.
Preferably, in S3, the converted power is marked on the established model by a red line, and the used power is marked on the established model by a black line.
Preferably, in S4, the amount of electricity used by the device in the photothermal power station is detected for a certain period of time.
Preferably, in S4, the unnecessary devices in the optothermal power station are turned off for a certain time.
Preferably, in S5, in the implementation process, the result of the optimization analysis is strictly referred to, and the implementation result is recorded.
Preferably, in the step S6, the number of comparison is 2-3, and the comparison is processed by 2-3 groups of staff.
The method has the advantages that the date is set, the electric quantity converted by the photo-thermal power station is detected within the recorded time, the electric quantity used by devices of the photo-thermal power station is detected, then a model for converting the electric quantity and the used electric quantity is established, the converted electric quantity is marked on the established model by red lines, the used electric quantity is marked on the established model by black lines, information on the model is analyzed and optimized according to an analysis result, then the optimized result is implemented, and the implementation result is compared with the previous result, so that the efficiency of converting the electric quantity by the photo-thermal power station is effectively improved, and the electric quantity used by electric appliances in the photo-thermal power station is reduced.
By means of the multi-time scale source optimization scheduling method with the photo-thermal power station participating in adjustment, the models are set up to visually display and compare, the photo-thermal power station is optimized, the efficiency of converting electric quantity of the photo-thermal power station is effectively improved, and the electric quantity used by electric appliances in the photo-thermal power station is reduced.
Detailed Description
The present invention will be further illustrated with reference to the following specific examples.
Example one
The embodiment provides a multi-time scale source optimization scheduling method for a photo-thermal power station to participate in adjustment, which comprises the following steps:
s1: setting the date: setting a recording date, and carrying out interval distribution on the recorded dates;
s2: electric quantity detection: detecting the electric quantity converted by the photo-thermal power station, and detecting the electric quantity used by devices of the photo-thermal power station;
s3: establishing a model: establishing a model for converting electric quantity and using the electric quantity;
s4: optimizing and analyzing: counting information on the model within a certain time, and then optimizing the thermoelectric power station according to an information result;
s5: optimizing and implementing: implementing the opto-thermal power station according to the result of the optimization analysis;
s6: and (3) comparison treatment: the results of the optimization run were compared to previous results.
In this embodiment, in S1, the recording date is filed, the recording date is distributed every 1h, in S2, the amount of electricity converted by the photothermal power station is counted after detection, the amount of electricity used by the photothermal power station is counted after detection, in S3, the converted amount of electricity is marked on the established model with a red line, the amount of electricity used is marked on the established model with a black line, in S4, the amount of electricity used by devices in the photothermal power station for a certain time is detected, in S4, devices unnecessary for the photothermal power station for a certain time are turned off, in S5, in the implementation process, the result of the optimization analysis is strictly referred to and recorded, in S6, the number of comparison is 2, and 2 groups of workers perform processing.
Example two
The embodiment provides a multi-time scale source optimization scheduling method for a photo-thermal power station to participate in adjustment, which comprises the following steps:
s1: setting the date: setting a recording date, and carrying out interval distribution on the recorded dates;
s2: electric quantity detection: detecting the electric quantity converted by the photo-thermal power station, and detecting the electric quantity used by devices of the photo-thermal power station;
s3: establishing a model: establishing a model for converting electric quantity and using the electric quantity;
s4: optimizing and analyzing: counting information on the model within a certain time, and then optimizing the thermoelectric power station according to an information result;
s5: optimizing and implementing: implementing the opto-thermal power station according to the result of the optimization analysis;
s6: and (3) comparison treatment: the results of the optimization run were compared to previous results.
In this embodiment, in S1, the recording date is filed, the recording date is distributed every 2 hours, in S2, the amount of electricity converted by the photothermal power station is counted after detection, the amount of electricity used by the photothermal power station is counted after detection, in S3, the converted amount of electricity is marked on the established model with a red line, the amount of electricity used is marked on the established model with a black line, in S4, the amount of electricity used by devices in the photothermal power station for a certain time is detected, in S4, devices unnecessary for the photothermal power station for a certain time are turned off, in S5, in the implementation process, the result of the optimization analysis is strictly referred to and recorded, in S6, the number of comparison is 2, and 2 groups of workers perform processing.
EXAMPLE III
The embodiment provides a multi-time scale source optimization scheduling method for a photo-thermal power station to participate in adjustment, which comprises the following steps:
s1: setting the date: setting a recording date, and carrying out interval distribution on the recorded dates;
s2: electric quantity detection: detecting the electric quantity converted by the photo-thermal power station, and detecting the electric quantity used by devices of the photo-thermal power station;
s3: establishing a model: establishing a model for converting electric quantity and using the electric quantity;
s4: optimizing and analyzing: counting information on the model within a certain time, and then optimizing the thermoelectric power station according to an information result;
s5: optimizing and implementing: implementing the opto-thermal power station according to the result of the optimization analysis;
s6: and (3) comparison treatment: the results of the optimization run were compared to previous results.
In this embodiment, in S1, the recording date is filed, the recording date is distributed every 2 hours, in S2, the amount of electricity converted by the photothermal power station is counted after detection, the amount of electricity used by the photothermal power station is counted after detection, in S3, the converted amount of electricity is marked on the established model with a red line, the amount of electricity used is marked on the established model with a black line, in S4, the amount of electricity used by devices in the photothermal power station for a certain time is detected, in S4, devices unnecessary for the photothermal power station for a certain time are turned off, in S5, in the implementation process, the result of the optimization analysis is strictly referred to and recorded, in S6, the number of comparison is 2, and 3 groups of workers perform processing.
Example four
The embodiment provides a multi-time scale source optimization scheduling method for a photo-thermal power station to participate in adjustment, which comprises the following steps:
s1: setting the date: setting a recording date, and carrying out interval distribution on the recorded dates;
s2: electric quantity detection: detecting the electric quantity converted by the photo-thermal power station, and detecting the electric quantity used by devices of the photo-thermal power station;
s3: establishing a model: establishing a model for converting electric quantity and using the electric quantity;
s4: optimizing and analyzing: counting information on the model within a certain time, and then optimizing the thermoelectric power station according to an information result;
s5: optimizing and implementing: implementing the opto-thermal power station according to the result of the optimization analysis;
s6: and (3) comparison treatment: the results of the optimization run were compared to previous results.
In this embodiment, in S1, the recording date is filed, the recording date is distributed every 3 hours, in S2, the amount of electricity converted by the photothermal power station is counted after detection, the amount of electricity used by the photothermal power station is counted after detection, in S3, the converted amount of electricity is marked on the established model with a red line, the amount of electricity used is marked on the established model with a black line, in S4, the amount of electricity used by devices in the photothermal power station for a certain time is detected, in S4, devices unnecessary for the photothermal power station for a certain time are turned off, in S5, in the implementation process, the result of the optimization analysis is strictly referred to and recorded, in S6, the number of comparison is 3 times, and is processed by 2 groups of workers.
EXAMPLE five
The embodiment provides a multi-time scale source optimization scheduling method for a photo-thermal power station to participate in adjustment, which comprises the following steps:
s1: setting the date: setting a recording date, and carrying out interval distribution on the recorded dates;
s2: electric quantity detection: detecting the electric quantity converted by the photo-thermal power station, and detecting the electric quantity used by devices of the photo-thermal power station;
s3: establishing a model: establishing a model for converting electric quantity and using the electric quantity;
s4: optimizing and analyzing: counting information on the model within a certain time, and then optimizing the thermoelectric power station according to an information result;
s5: optimizing and implementing: implementing the opto-thermal power station according to the result of the optimization analysis;
s6: and (3) comparison treatment: the results of the optimization run were compared to previous results.
In this embodiment, in S1, the recording date is filed, the recording date is distributed every 3 hours, in S2, the amount of electricity converted by the photothermal power station is counted after detection, the amount of electricity used by the photothermal power station is counted after detection, in S3, the converted amount of electricity is marked on the established model with a red line, the amount of electricity used is marked on the established model with a black line, in S4, the amount of electricity used by devices in the photothermal power station for a certain time is detected, in S4, devices unnecessary for the photothermal power station for a certain time are turned off, in S5, in the implementation process, the result of the optimization analysis is strictly referred to and recorded, in S6, the number of comparison times is 3, and the results are processed by 3 groups of workers.
Selecting five set dates, and recording the difference value between the optimization result and the previous result by respectively adopting the first embodiment to the fifth embodiment:
the result shows that the optimal scheduling of the multi-time scale source participating in adjustment of the photo-thermal power station is adopted, the efficiency of converting electricity of the photo-thermal power station is effectively improved, the electricity used by electric appliances in the photo-thermal power station is reduced, and the fourth embodiment is the best embodiment.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.
Claims (8)
1. A multi-time scale source optimization scheduling method for photo-thermal power stations to participate in adjustment is characterized by comprising the following steps:
s1: setting the date: setting a recording date, and carrying out interval distribution on the recorded dates;
s2: electric quantity detection: detecting the electric quantity converted by the photo-thermal power station, and detecting the electric quantity used by devices of the photo-thermal power station;
s3: establishing a model: establishing a model for converting electric quantity and using the electric quantity;
s4: optimizing and analyzing: counting information on the model within a certain time, and then optimizing the thermoelectric power station according to an information result;
s5: optimizing and implementing: implementing the opto-thermal power station according to the result of the optimization analysis;
s6: and (3) comparison treatment: the results of the optimization run were compared to previous results.
2. The method for optimizing and scheduling the source of the multi-time scale participating in the regulation of the photothermal power station in claim 1, wherein in the step S1, the recording dates are archived and distributed at intervals of 1-3 h.
3. The method for optimizing and dispatching the source of the multi-time scale with the participation of the photo-thermal power station in the regulation as claimed in claim 1, wherein in the step S2, the electric quantity converted by the photo-thermal power station is measured and then counted, and the electric quantity used by the photo-thermal power station is measured and then counted.
4. The method for optimizing and scheduling the source of the multi-time scale for the participation and regulation of the photothermal power station of claim 1, wherein in the step S3, the converted electric quantity is marked on the established model by a red line, and the used electric quantity is marked on the established model by a black line.
5. The method for multi-time scale source optimization scheduling of participation and regulation of photo-thermal power station as claimed in claim 1, wherein in S4, the electricity consumption of devices in the photo-thermal power station within a certain time is detected.
6. The method for optimizing and dispatching the multi-time scale source participating in regulation of the photothermal power station in claim 1, wherein in the step S4, the devices which are not needed in the photothermal power station for a certain time are turned off.
7. The method for optimizing and scheduling the source of the multi-time scale with participation of the photo-thermal power station in adjustment as claimed in claim 1, wherein in the step S5, the result of the optimization analysis is strictly referred to and recorded during the implementation process.
8. The method for optimizing and scheduling the multi-time scale source for the participation of the photo-thermal power station in the regulation of the claim 1, wherein in the step S6, the comparison times are 2-3 times and are processed by 2-3 groups of workers.
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN109742813A (en) * | 2019-03-22 | 2019-05-10 | 中国电建集团青海省电力设计院有限公司 | Wind-powered electricity generation-photovoltaic-photo-thermal-thermoelectricity cogeneration Optimization Scheduling based on MPC |
| CN110707756A (en) * | 2019-10-12 | 2020-01-17 | 华北电力大学 | Photothermal power station day-ahead peak regulation optimization control method for high-proportion wind power access power grid |
| CN111325395A (en) * | 2020-02-18 | 2020-06-23 | 华北电力大学 | Multi-time scale source optimization scheduling method for photo-thermal power station to participate in adjustment |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109742813A (en) * | 2019-03-22 | 2019-05-10 | 中国电建集团青海省电力设计院有限公司 | Wind-powered electricity generation-photovoltaic-photo-thermal-thermoelectricity cogeneration Optimization Scheduling based on MPC |
| CN110707756A (en) * | 2019-10-12 | 2020-01-17 | 华北电力大学 | Photothermal power station day-ahead peak regulation optimization control method for high-proportion wind power access power grid |
| CN111325395A (en) * | 2020-02-18 | 2020-06-23 | 华北电力大学 | Multi-time scale source optimization scheduling method for photo-thermal power station to participate in adjustment |
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Application publication date: 20210330 |