CN113449443A - Data loading modeling scheduling method and device - Google Patents
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Abstract
The invention belongs to the technical field of analog data scheduling processing, and discloses a data loading modeling scheduling method and device, which comprise the following steps: loading the real-time change data into a network scheduling simulation system, and synchronously updating and displaying to obtain simulation change data; loading simulation change data by a head end initiating device, a middle transition strengthening device and a tail end acting recovery device which form the combined cycle device to obtain a head end initiating model, a middle transition strengthening model and a tail end acting recovery model which are displayed in a network dispatching simulation system; determining the pre-starting time of the intermediate transition strengthening model according to the starting time and the starting duration of the head end initiation model; judging whether a simulation output parameter curve of the head end initiation model meets transition constraint conditions or not according to the pre-starting time; if yes, generating a cycle and preheating time action plan of the intermediate transition strengthening model. The invention improves the simulation and the operation accuracy of the combined cycle generator set.
Description
Technical Field
The invention belongs to the technical field of analog data scheduling processing, and particularly relates to a data loading modeling scheduling method and device.
Background
Nowadays, with the development of the digital era, intelligent acquisition, optimization and processing of data are applied to various industries, and in the clean energy power generation industry, particularly gas combined cycle generator sets, daily peak regulation start and stop are carried out by adopting a digital simulation system, and in the normal start-stop power generation process of the generator sets, a manual judgment operation network scheduling simulation system based on equipment parameter acquisition is a conventional means to achieve the final aim of realizing an automatic unmanned generator set started and stopped by one key.
Disclosure of Invention
The present invention aims to provide a data loading modeling scheduling method to solve the above mentioned problems in the background art.
To achieve the above object, according to a first aspect, an embodiment of the present invention discloses a data loading modeling scheduling method, including: calling real-time change data of the on-site meter of the combined cycle equipment, and loading the real-time change data into a network scheduling simulation system to be synchronously updated and displayed to obtain simulation change data; loading the simulation change data by a head end initiating device, a middle transition strengthening device and a tail end acting recovery device which form the combined cycle device to obtain a head end initiating model, a middle transition strengthening model and a tail end acting recovery model which are displayed in the network scheduling simulation system; determining the pre-starting time of the intermediate transition strengthening model according to the starting time and the starting duration of the head end initiation model; judging whether a simulation output parameter curve of the head end initiation model meets transition constraint conditions or not according to the pre-starting time; and if so, generating a cycle and preheating time action plan of the intermediate transition strengthening model.
The invention is further configured to: after the analog output parameter curve of the head end initiation model is judged to meet the transition constraint condition according to the pre-starting time, the method comprises the following steps: advancing the pre-start time; judging whether a simulation output parameter curve of the head end initiation model meets a transition constraint condition or not according to the advanced pre-starting time; if yes, the step of advancing the pre-starting time is returned to be executed until the simulation output parameter curve does not meet the transition constraint condition.
The invention is further configured to: after the generating of the cycle and preheating time action plan of the intermediate transition strengthening model, the method comprises the following steps: determining the pre-working time of the tail end working recovery model according to the pre-starting time of the intermediate transition strengthening model; judging whether a simulation acting parameter curve of the intermediate transition strengthening model meets acting constraint conditions or not according to the pre-acting time; and if so, generating a working and recovery time action plan of the tail working recovery model.
The invention is further configured to: the method comprises the following steps: advancing the pre-work time; judging whether a simulation acting parameter curve of the intermediate transition strengthening model meets acting constraint conditions or not according to the advanced pre-acting time; if yes, the step of advancing the pre-working time is returned to be executed until the simulated working parameter curve does not meet the working constraint condition.
According to a second aspect, an embodiment of the present invention discloses a data loading modeling scheduling apparatus, including: the scheduling and updating module is used for scheduling the real-time change data of the on-site meter of the combined cycle equipment, loading the real-time change data into the network scheduling simulation system, and synchronously updating and displaying the real-time change data to obtain simulation change data; the model production module is used for forming a head end initiation device, a middle transition strengthening device and a tail end work-doing recovery device of the combined cycle device to load the simulation change data to obtain a head end initiation model, a middle transition strengthening model and a tail end work-doing recovery model which are displayed in the network dispatching simulation system; the first determining module is used for determining the pre-starting time of the intermediate transition strengthening model according to the starting time and the starting duration of the head end initiation model; the first judgment module is used for judging whether the simulation output parameter curve of the head end initiation model meets transition constraint conditions or not according to the pre-starting time; a first generation module for generating a cycle and warm-up time action plan of the intermediate transition reinforcement model.
The invention is further configured to: the first judging module comprises: a first advancing unit for advancing the pre-start time; the first judgment unit is used for judging whether the simulation output parameter curve of the head end initiation model meets transition constraint conditions or not according to the advanced pre-starting time; and the first circulation unit is used for returning to execute the step of advancing the pre-starting time until the simulation output parameter curve does not meet the transition constraint condition.
The invention is further configured to: the second confirmation module is used for determining the pre-acting time of the tail end acting recovery model according to the pre-starting time of the intermediate transition strengthening model; the second judgment module is used for judging whether the simulation acting parameter curve of the intermediate transition strengthening model meets acting constraint conditions or not according to the pre-acting time; and the second generation module is used for generating the acting plan of the acting time and the recovery time of the tail end acting recovery model.
The invention is further configured to: the second judging module includes: a second advancing unit for advancing the pre-work time; the second judgment unit is used for judging whether the simulation acting parameter curve of the intermediate transition strengthening model meets acting constraint conditions according to the advanced pre-acting time; and the second circulation unit is used for returning to execute the step of advancing the pre-work time until the simulated work parameter curve does not meet the work constraint condition.
According to a third aspect, an embodiment of the present invention discloses a computer apparatus, including a processor, for executing a computer program stored in a memory to implement the following method: calling real-time change data of the on-site meter of the combined cycle equipment, and loading the real-time change data into a network scheduling simulation system to be synchronously updated and displayed to obtain simulation change data; loading the simulation change data by a head end initiating device, a middle transition strengthening device and a tail end acting recovery device which form the combined cycle device to obtain a head end initiating model, a middle transition strengthening model and a tail end acting recovery model which are displayed in the network scheduling simulation system; determining the pre-starting time of the intermediate transition strengthening model according to the starting time and the starting duration of the head end initiation model; judging whether a simulation output parameter curve of the head end initiation model meets transition constraint conditions or not according to the pre-starting time; and if so, generating a cycle and preheating time action plan of the intermediate transition strengthening model.
According to a fourth aspect, an embodiment of the present invention discloses a computer-readable storage medium, on which a computer program is stored, and a processor is configured to execute the computer program stored in the storage medium to implement the following method: calling real-time change data of the on-site meter of the combined cycle equipment, and loading the real-time change data into a network scheduling simulation system to be synchronously updated and displayed to obtain simulation change data; loading the simulation change data by a head end initiating device, a middle transition strengthening device and a tail end acting recovery device which form the combined cycle device to obtain a head end initiating model, a middle transition strengthening model and a tail end acting recovery model which are displayed in the network scheduling simulation system; determining the pre-starting time of the intermediate transition strengthening model according to the starting time and the starting duration of the head end initiation model; judging whether a simulation output parameter curve of the head end initiation model meets transition constraint conditions or not according to the pre-starting time; and if so, generating a cycle and preheating time action plan of the intermediate transition strengthening model.
In summary, compared with the prior art, the invention discloses a data loading modeling scheduling method, which loads real-time change data into a network scheduling simulation system to synchronously update and display to obtain simulation change data, loads the simulation change data into the network scheduling simulation system, determines the pre-start time of an intermediate transition strengthening model, judges whether a simulation output parameter curve of a head-end initiation model meets a transition constraint condition according to the pre-start time, and generates a cycle and preheating time action plan of the intermediate transition strengthening model if the simulation output parameter curve meets the transition constraint condition. Through this setting, the simulation and the operation accuracy of combined cycle generating set have been improved promptly for generating set links up on key node more smoothly, has shortened the start-stop time of whole set of unit.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a flowchart of a data loading modeling scheduling method provided in this embodiment;
fig. 2 is a frame diagram of a data loading modeling scheduling apparatus provided in this embodiment.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the present invention more apparent, the present invention will be further described in detail with reference to the accompanying drawings and embodiments, it being understood that the specific embodiments described herein are merely illustrative of the present invention and are not intended to limit the present invention.
Furthermore, the technical features mentioned in the different embodiments of the present invention described above may be combined with each other as long as they do not conflict with each other.
A data loading modeling scheduling method, as shown in fig. 1, includes:
and 101, calling real-time change data of the on-site meter of the combined cycle equipment, and loading the real-time change data into a network scheduling simulation system to synchronously update and display to obtain simulation change data.
In a specific implementation, the combined cycle plant is a gas combined cycle unit for power production.
And 102, loading simulation change data by the head end initiating device, the middle transition strengthening device and the tail end acting recovery device which form the combined cycle device to obtain a head end initiating model, a middle transition strengthening model and a tail end acting recovery model which are displayed in the network dispatching simulation system.
In this step, the head-end initiation device includes a gas turbine unit, the intermediate transition strengthening device includes a waste heat boiler, and the tail-end work-applying recovery device includes a steam turbine.
And 103, determining the pre-starting time of the intermediate transition strengthening model according to the starting time and the starting duration of the head end triggering model.
In this step, the starting time of the head-end initiation model is determined by the power grid dispatching instruction, and the starting duration is determined by the average value of the historical starting duration of the head-end initiation model.
And 104, judging whether the simulation output parameter curve of the head end initiation model meets the transition constraint condition or not according to the pre-starting time.
In the step, the simulation output parameter curve of the initial-end initiation model is a turbine exhaust temperature curve of the gas turbine unit, and the transition constraint condition is the turbine exhaust temperature of the gas turbine unit and the superheat degree value of the waste heat boiler inlet superheater.
In this embodiment, after determining that the analog output parameter curve of the head-end initiation model satisfies the transition constraint condition according to the pre-start time, the method includes: pre-starting time is advanced; judging whether a simulation output parameter curve of the head end initiation model meets transition constraint conditions or not according to the advanced pre-starting time; if yes, returning to the step of executing the advanced pre-starting time until the simulation output parameter curve does not meet the transition constraint condition.
In the step, the closed-cycle positioning pre-starting time is judged, so that the simulation and the running accuracy of the combined-cycle generator set are improved.
If so, a cycle and warm-up time operation plan of the intermediate transition strengthening model is generated 105.
In this step, the circulation and preheating time operation plan represents the operation plan of the high-pressure and low-pressure circulation pump of the exhaust-heat boiler and the heat exchange layer preheating device.
Further, after generating the cycle and preheating time action plan of the intermediate transition strengthening model, the method includes:
determining the pre-acting time of the tail end acting recovery model according to the pre-starting time of the intermediate transition strengthening model; judging whether the simulation acting parameter curve of the intermediate transition strengthening model meets acting constraint conditions or not according to the pre-acting time; if yes, generating a working and recovery time action plan of the tail end working recovery model.
After the simulation work parameter curve of the intermediate transition strengthening model is judged to meet the work constraint condition according to the pre-work time, the method comprises the following steps: pre-working time is advanced; judging whether a simulation acting parameter curve of the intermediate transition strengthening model meets acting constraint conditions or not according to the advanced pre-acting time; if yes, the step of executing the advanced pre-working time is returned until the simulated working parameter curve does not meet the working constraint condition.
In the step, the closed-cycle positioning work application and recovery time is judged, so that the simulation and the operation accuracy of the combined-cycle generator set are improved.
Furthermore, the acting parameter curve is an exhaust temperature curve of the waste heat boiler superheater, and the acting constraint condition is the exhaust temperature of the waste heat boiler superheater and the superheat degree value of the steam turbine inlet air inlet pipe.
In this step, the work and recovery time operation plan indicates an operation plan of the internal and external circulation pumps of the steam turbine and the cooling oil device.
In this embodiment, real-time change data is loaded into the network scheduling simulation system to be synchronously updated and displayed to obtain simulation change data, the simulation change data is loaded into the network scheduling simulation system, after the pre-start time of the intermediate transition strengthening model is determined, whether a simulation output parameter curve of the head-end initiation model meets a transition constraint condition is judged according to the pre-start time, and if yes, a cycle and preheating time action plan of the intermediate transition strengthening model is generated. Through this setting, the simulation and the operation accuracy of combined cycle generating set have been improved promptly for generating set links up on key node more smoothly, has shortened the start-stop time of whole set of unit.
The embodiment also discloses a data loading modeling scheduling device, which includes:
and the calling and updating module 201 is used for calling the real-time change data of the on-site meter of the combined cycle equipment, and loading the real-time change data into the network scheduling simulation system to be synchronously updated and displayed to obtain simulation change data.
The model production module 202 is configured to load simulation change data to form a head-end initiation device, a middle transition strengthening device, and a tail-end work-doing recovery device of the combined cycle device to obtain a head-end initiation model, a middle transition strengthening model, and a tail-end work-doing recovery model displayed in the network scheduling simulation system.
The first determining module 203 is configured to determine a pre-start time of the intermediate transition strengthening model according to a start time and a start duration of the head-end initiation model.
The first determining module 204 is configured to determine whether the simulated output parameter curve of the head-end initiation model satisfies the transition constraint condition according to the pre-start time.
A first generating module 205 for generating a cycle and warm-up time action plan of the intermediate transition strengthening model.
In a specific implementation process, the first determining module 204 includes: a first advancing unit for advancing a pre-start time; the first judgment unit is used for judging whether the simulation output parameter curve of the head end initiation model meets the transition constraint condition or not according to the advanced pre-starting time; and the first circulation unit is used for returning to execute the step of advancing the pre-starting time until the simulation output parameter curve does not meet the transition constraint condition.
Further, the data loading modeling scheduling device comprises: a second determining module 206, configured to determine a pre-work time of the tail-end work-doing recovery model according to the pre-start time of the intermediate transition strengthening model; the second judging module 207 is configured to judge whether the simulation work parameter curve of the intermediate transition strengthening model meets a work constraint condition according to the pre-work time; and a second generating module 208, configured to generate a work and recovery time action plan of the tail-end work recovery model.
The second determining module 207 includes: the second advance unit is used for advancing the pre-working time; the second judgment unit is used for judging whether the simulation acting parameter curve of the intermediate transition strengthening model meets acting constraint conditions or not according to the advanced pre-acting time; and the second circulating unit is used for returning to the step of executing the advanced pre-working time until the simulated working parameter curve does not meet the working constraint condition.
In addition, the embodiment also discloses a computer apparatus, which includes a processor, and the processor is configured to execute the computer program stored in the memory to implement the following method: the method comprises the following steps: calling real-time change data of the on-site meter of the combined cycle equipment, and loading the real-time change data into a network scheduling simulation system to be synchronously updated and displayed to obtain simulation change data; loading simulation change data by a head end initiating device, a middle transition strengthening device and a tail end acting recovery device which form the combined cycle device to obtain a head end initiating model, a middle transition strengthening model and a tail end acting recovery model which are displayed in a network dispatching simulation system; determining the pre-starting time of the intermediate transition strengthening model according to the starting time and the starting duration of the head end initiation model; judging whether a simulation output parameter curve of the head end initiation model meets transition constraint conditions or not according to the pre-starting time; if yes, generating a cycle and preheating time action plan of the intermediate transition strengthening model.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a read-only memory (ROM), a Random Access Memory (RAM), or the like. The computer processor is used to execute a computer program stored in a storage medium to implement the following method: the method comprises the following steps: calling real-time change data of the on-site meter of the combined cycle equipment, and loading the real-time change data into a network scheduling simulation system to be synchronously updated and displayed to obtain simulation change data; loading simulation change data by a head end initiating device, a middle transition strengthening device and a tail end acting recovery device which form the combined cycle device to obtain a head end initiating model, a middle transition strengthening model and a tail end acting recovery model which are displayed in a network dispatching simulation system; determining the pre-starting time of the intermediate transition strengthening model according to the starting time and the starting duration of the head end initiation model; judging whether a simulation output parameter curve of the head end initiation model meets transition constraint conditions or not according to the pre-starting time; if yes, generating a cycle and preheating time action plan of the intermediate transition strengthening model.
In conclusion, the invention has the following beneficial effects: the invention discloses a data loading modeling scheduling method and a data loading modeling scheduling device, wherein real-time change data are loaded into a network scheduling simulation system to be synchronously updated and displayed to obtain simulation change data, the simulation change data are loaded into the network scheduling simulation system, after the pre-starting time of an intermediate transition strengthening model is determined, whether a simulation output parameter curve of a head end initiation model meets a transition constraint condition is judged according to the pre-starting time, and if so, a cycle and preheating time action plan of the intermediate transition strengthening model is generated. Through this setting, the simulation and the operation accuracy of combined cycle generating set have been improved promptly for generating set links up on key node more smoothly, has shortened the start-stop time of whole set of unit.
It should be understood that the above examples are only for clarity of illustration and are not intended to limit the embodiments. Other variations and modifications will be apparent to persons skilled in the art in light of the above description. And are neither required nor exhaustive of all embodiments. And obvious variations or modifications therefrom are within the scope of the invention.
Claims (10)
1. A data loading modeling scheduling method is characterized by comprising the following steps:
calling real-time change data of the on-site meter of the combined cycle equipment, and loading the real-time change data into a network scheduling simulation system to be synchronously updated and displayed to obtain simulation change data;
loading the simulation change data by a head end initiating device, a middle transition strengthening device and a tail end acting recovery device which form the combined cycle device to obtain a head end initiating model, a middle transition strengthening model and a tail end acting recovery model which are displayed in the network scheduling simulation system;
determining the pre-starting time of the intermediate transition strengthening model according to the starting time and the starting duration of the head end initiation model;
judging whether a simulation output parameter curve of the head end initiation model meets transition constraint conditions or not according to the pre-starting time;
and if so, generating a cycle and preheating time action plan of the intermediate transition strengthening model.
2. The data loading modeling scheduling method of claim 1, wherein said determining that the simulated output parameter curve of the head-end initiation model satisfies the transition constraint condition according to the pre-boot time comprises:
advancing the pre-start time;
judging whether a simulation output parameter curve of the head end initiation model meets a transition constraint condition or not according to the advanced pre-starting time;
if yes, the step of advancing the pre-starting time is returned to be executed until the simulation output parameter curve does not meet the transition constraint condition.
3. The data load modeling scheduling method of claim 1 wherein said generating a cycle and preheat time action plan for said intermediate transition reinforcement model comprises:
determining the pre-working time of the tail end working recovery model according to the pre-starting time of the intermediate transition strengthening model;
judging whether a simulation acting parameter curve of the intermediate transition strengthening model meets acting constraint conditions or not according to the pre-acting time;
and if so, generating a working and recovery time action plan of the tail working recovery model.
4. The data loading modeling scheduling method of claim 3, wherein after judging that the simulated work parameter curve of the intermediate transition strengthening model meets work constraint conditions according to the pre-work time, the method comprises the following steps:
advancing the pre-work time;
judging whether a simulation acting parameter curve of the intermediate transition strengthening model meets acting constraint conditions or not according to the advanced pre-acting time;
if yes, the step of advancing the pre-working time is returned to be executed until the simulated working parameter curve does not meet the working constraint condition.
5. A data load modeling scheduler, comprising:
the scheduling and updating module is used for scheduling the real-time change data of the on-site meter of the combined cycle equipment, loading the real-time change data into the network scheduling simulation system, and synchronously updating and displaying the real-time change data to obtain simulation change data;
the model production module is used for forming a head end initiation device, a middle transition strengthening device and a tail end work-doing recovery device of the combined cycle device to load the simulation change data to obtain a head end initiation model, a middle transition strengthening model and a tail end work-doing recovery model which are displayed in the network dispatching simulation system;
the first determining module is used for determining the pre-starting time of the intermediate transition strengthening model according to the starting time and the starting duration of the head end initiation model;
the first judgment module is used for judging whether the simulation output parameter curve of the head end initiation model meets transition constraint conditions or not according to the pre-starting time;
a first generation module for generating a cycle and warm-up time action plan of the intermediate transition reinforcement model.
6. The data load modeling scheduling apparatus of claim 5 wherein said first determining module comprises:
a first advancing unit for advancing the pre-start time;
the first judgment unit is used for judging whether the simulation output parameter curve of the head end initiation model meets transition constraint conditions or not according to the advanced pre-starting time;
and the first circulation unit is used for returning to execute the step of advancing the pre-starting time until the simulation output parameter curve does not meet the transition constraint condition.
7. The data load modeling scheduling apparatus of claim 5 including:
the second confirmation module is used for determining the pre-acting time of the tail end acting recovery model according to the pre-starting time of the intermediate transition strengthening model;
the second judgment module is used for judging whether the simulation acting parameter curve of the intermediate transition strengthening model meets acting constraint conditions or not according to the pre-acting time;
and the second generation module is used for generating the acting plan of the acting time and the recovery time of the tail end acting recovery model.
8. The data load modeling scheduling apparatus of claim 7 wherein said second determination module comprises:
a second advancing unit for advancing the pre-work time;
the second judgment unit is used for judging whether the simulation acting parameter curve of the intermediate transition strengthening model meets acting constraint conditions according to the advanced pre-acting time;
and the second circulation unit is used for returning to execute the step of advancing the pre-work time until the simulated work parameter curve does not meet the work constraint condition.
9. A computer arrangement comprising a processor for executing a computer program stored in a memory to implement the data load modeling scheduling method of any of claims 1-4.
10. A computer-readable storage medium, on which a computer program is stored, characterized in that the computer program stored in the storage medium is executed to implement the data load modeling scheduling method according to any one of claims 1 to 4.
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