CN116520709A - Operation optimization device and operation optimization method for energy power system - Google Patents
Operation optimization device and operation optimization method for energy power system Download PDFInfo
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- CN116520709A CN116520709A CN202310717282.6A CN202310717282A CN116520709A CN 116520709 A CN116520709 A CN 116520709A CN 202310717282 A CN202310717282 A CN 202310717282A CN 116520709 A CN116520709 A CN 116520709A
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- 238000000034 method Methods 0.000 title claims abstract description 34
- 238000005457 optimization Methods 0.000 title claims abstract description 23
- 238000004458 analytical method Methods 0.000 claims abstract description 146
- 238000007405 data analysis Methods 0.000 claims abstract description 31
- 238000013500 data storage Methods 0.000 claims abstract description 13
- 238000005265 energy consumption Methods 0.000 claims description 39
- 238000005057 refrigeration Methods 0.000 claims description 36
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 19
- 238000001816 cooling Methods 0.000 claims description 14
- 238000012423 maintenance Methods 0.000 claims description 13
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- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
- G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
- G05B13/04—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators
- G05B13/042—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators in which a parameter or coefficient is automatically adjusted to optimise the performance
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Abstract
The invention provides an operation optimizing device and an operation optimizing method of an energy power system. The operation optimization method comprises the following steps: collecting operation data of a target energy power system; storing the collected operation data as a data set; determining a corresponding data analysis method according to the type of the target energy power system, and analyzing a preset analysis item of the target energy power system according to the data analysis method and the data set to obtain an analysis result; and optimally controlling the operation of the target energy power system according to the analysis result. The operation optimizing device comprises a data acquisition module, a data storage module, a data analysis module and an optimizing control module which are used for realizing the steps in a one-to-one correspondence manner. According to the invention, the problem that the existing energy power system cannot realize high-efficiency energy-saving operation due to the control logic of the existing energy power system can be effectively solved.
Description
Technical Field
The invention belongs to the field of system operation optimization control, and particularly relates to an operation optimization device and an operation optimization method of an energy power system.
Background
The existing energy power system, such as a refrigerating system, a heating system, an air-compressing system, a vacuum system and the like, generally adopts traditional control equipment such as a PLC (programmable logic controller) or a DDC (direct digital control) to carry out system control, and specifically, a programming language is used for writing conventional control logic in a control device so as to realize the operations such as start-stop, frequency conversion and the like of corresponding equipment.
However, the control logic of the existing energy power system is mainly operated safely, and the aim of energy-saving operation can be achieved only by manual intervention or adjustment; whether the system is in the optimal operation condition cannot be considered globally; the system has no function of analyzing operation data, and can not judge whether the system is operated for saving energy.
Disclosure of Invention
The invention aims to solve the problem that the existing energy power system cannot realize high-efficiency energy-saving operation due to control logic thereof.
In order to achieve the above object, the present invention provides an operation optimizing apparatus and an operation optimizing method for an energy power system.
According to a first aspect of the present invention, there is provided an operation optimizing device of an energy power system, the operation optimizing device comprising:
the data acquisition module is used for acquiring the operation data of the target energy power system;
the data storage module is used for storing the collected operation data as a data set;
the data analysis module is used for determining a corresponding data analysis method according to the type of the target energy power system, and analyzing a preset analysis item of the target energy power system according to the data analysis method and the data set so as to obtain an analysis result;
and the optimizing control module is used for optimally controlling the operation of the target energy power system according to the analysis result.
Optionally, the data acquisition module is specifically configured to acquire operation data of the target energy power system according to a preset acquisition frequency, where the operation data includes operation data of the control system and operation data of each sensor.
Optionally, the data storage module is specifically configured to update the data set according to a first-in first-out principle, so that a time length of the data set is equal to a preset time length or a data volume of the data set is equal to a preset data volume.
Optionally, the predetermined analysis items of the target energy power system include a system performance analysis, a system energy efficiency analysis, a system energy consumption analysis, a system internal device performance analysis, a system internal device energy consumption analysis, a system internal device energy efficiency analysis, a system internal device performance comparison analysis, a system internal device energy consumption comparison analysis, a system internal device energy efficiency comparison analysis and a system internal device maintenance analysis.
Optionally, if the target energy power system is a refrigeration system, the system performance analysis includes analysis of temperature and temperature fluctuation of chilled water supply, analysis of temperature and temperature fluctuation of chilled water return and analysis of temperature difference and temperature difference fluctuation of chilled water supply and return;
and/or if the target energy power system is a refrigeration system, the system energy efficiency analysis comprises comprehensive energy efficiency ratio analysis of the refrigeration system;
and/or if the target energy power system is a refrigeration system, the energy consumption analysis of equipment in the system comprises energy consumption analysis of a refrigeration host, energy consumption analysis of a cooling tower, energy consumption analysis of a cooling pump, energy consumption analysis of a primary pump and energy consumption analysis of a secondary pump;
and/or if the target energy power system is a refrigeration system, the energy consumption comparison analysis of the equipment in the system comprises energy consumption comparison analysis of a refrigeration host, a cooling tower, a cooling pump, a primary pump and a secondary pump;
and/or if the target energy power system is a refrigeration system, the energy efficiency comparison analysis of the equipment in the system comprises the energy efficiency ratio comparison analysis among all refrigeration hosts;
and/or if the target energy power system is a refrigeration system, the in-system equipment maintenance analysis comprises refrigeration host condenser cleaning maintenance analysis and refrigeration host evaporator cleaning maintenance analysis.
Optionally, the optimization control module is specifically configured to generate a corresponding control instruction according to the analysis result and send the corresponding control instruction to the control system and/or the corresponding sensor.
Optionally, the operation optimizing device further includes:
and the analysis result output module is used for responding to the analysis result output instruction and outputting the analysis result in the form of a report and/or a chart.
Optionally, the operation optimizing device further includes:
and the function expansion module is used for expanding the data analysis function of the data analysis module according to the input function expansion configuration file.
Optionally, the operation optimizing device further includes:
and the user interaction module is used for displaying the analysis result to a user and responding to the operation of the user to modify the working parameters of the operation optimizing device.
According to a second aspect of the present invention, there is provided a method of operation optimization of an energy power system, the method comprising the steps of:
collecting operation data of a target energy power system;
storing the collected operation data as a data set;
determining a corresponding data analysis method according to the type of the target energy power system, and analyzing a preset analysis item of the target energy power system according to the data analysis method and the data set to obtain an analysis result;
and optimally controlling the operation of the target energy power system according to the analysis result.
The invention has the beneficial effects that:
according to the operation optimizing device of the energy power system, the data acquisition module is used for acquiring the operation data of the target energy power system; the collected operation data are stored as a data set through a data storage module; determining a corresponding data analysis method according to the type of the target energy power system through a data analysis module, and analyzing a preset analysis item of the target energy power system according to the data analysis method and the data set to obtain an analysis result; and the operation of the target energy power system is optimally controlled by an optimizing control module according to the analysis result, so that the high-efficiency energy-saving operation of the energy power system is realized.
The operation optimizing method of the energy power system and the operation optimizing device of the energy power system belong to a general inventive concept, at least have the same beneficial effects as the operation optimizing device of the energy power system, and the beneficial effects are not repeated here.
Additional features and advantages of the invention will be set forth in the detailed description which follows.
Drawings
The invention may be better understood by referring to the following description in conjunction with the accompanying drawings in which the same or similar reference numerals are used throughout the several drawings to designate the same or similar components.
FIG. 1 shows a block diagram of an operation optimization device of an energy power system according to an embodiment of the present invention;
FIG. 2 shows a chilled water related analysis result schematic in accordance with an embodiment of the invention;
FIG. 3 is a schematic diagram showing the results of device energy consumption versus analysis in a system according to an embodiment of the present invention;
FIG. 4 shows a system energy efficiency analysis result schematic according to an embodiment of the invention;
FIG. 5 is a graph showing the comparison of energy efficiency ratios of different refrigeration hosts according to an embodiment of the present invention;
FIG. 6 illustrates a flowchart of an implementation of a method of operation optimization of an energy power system according to an embodiment of the invention.
Detailed Description
In order that those skilled in the art will more fully understand the technical solutions of the present invention, exemplary embodiments of the present invention will be described more fully and in detail below with reference to the accompanying drawings. It should be apparent that the following description of one or more embodiments of the invention is merely one or more of the specific ways in which the technical solutions of the invention may be implemented and is not intended to be exhaustive. It should be understood that the technical solution of the present invention may be implemented in other ways belonging to one general inventive concept, and should not be limited by the exemplary described embodiments. All other embodiments, which may be made by one or more embodiments of the invention without inventive faculty, are intended to be within the scope of the invention.
Examples: FIG. 1 shows a block diagram of an operation optimizing apparatus of an energy power system according to an embodiment of the present invention. Referring to fig. 1, an operation optimizing apparatus of an energy power system according to an embodiment of the present invention includes:
the data acquisition module is used for acquiring the operation data of the target energy power system;
the data storage module is used for storing the collected operation data as a data set;
the data analysis module is used for determining a corresponding data analysis method according to the type of the target energy power system, and analyzing a preset analysis item of the target energy power system according to the data analysis method and the data set to obtain an analysis result;
and the optimizing control module is used for optimally controlling the operation of the target energy power system according to the analysis result.
Further, in the embodiment of the present invention, the data acquisition module is specifically configured to acquire, according to a preset acquisition frequency, operation data of the target energy power system, where the operation data includes operation data of a control system of the target energy power system and operation data of each sensor of the target energy power system.
Specifically, in the embodiment of the invention, the data acquisition module is electrically connected with the control system and the sensor of the target energy power system at the same time so as to collect the operation data of the control system and the sensor at fixed time; the optimizing control module is electrically connected with the control system and the sensor of the target energy power system at the same time, and is used for issuing control commands and control parameters to the control system and the sensor of the target energy power system, so that analysis results are fed back to real-time control, further, optimizing operation is realized, faults are reduced, and energy efficiency is improved.
Specifically, in the embodiment of the invention, the data analysis module is pre-stored with data analysis methods of different target energy power system types, so as to support the operation optimization control of the multi-type energy power system.
Still further, in an embodiment of the present invention, the data storage module is specifically configured to update the data set according to a first-in first-out principle, so that a time length of the data set is equal to a preset time length or a data volume of the data set is equal to a preset data volume.
Specifically, in the embodiment of the invention, the data storage module stores the collected operation data in a fixed time length mode, specifically, after the system is initialized, the data storage module stores the collected operation data in a preset time length as an initial data set, and after the initial data set is obtained, when the operation data is subsequently collected, the initial data set is updated based on the principle of data first-in first-out so that the duration length of the data set is always kept to be the preset time length; or the data storage module stores the collected operation data by adopting a fixed data volume mode, specifically, after the system is initialized, the data storage module stores the collected operation data with preset volume as an initial data set, and after the initial data set is obtained, when the operation data is subsequently collected, the initial data set is updated based on the principle of data first-in first-out so as to keep the data volume of the data set to be the preset volume; for both modes of operation data storage, after updating the data set based on the first-in first-out principle, the data shifted out of the data set is stored locally in the form of a file or database.
Still further, in the embodiment of the present invention, the predetermined analysis items of the target energy power system include a system performance analysis, a system energy efficiency analysis, a system energy consumption analysis, a system internal device performance analysis, a system internal device energy consumption analysis, a system internal device energy efficiency analysis, a system internal device performance comparison analysis, a system internal device energy consumption comparison analysis, a system internal device energy efficiency comparison analysis, and a system internal device maintenance analysis.
Specifically, in the embodiment of the invention, the target energy power system is a refrigerating system, and the system performance analysis comprises temperature and temperature fluctuation analysis of chilled water supply, temperature and temperature fluctuation analysis of chilled water return and temperature difference fluctuation analysis of chilled water supply and return; the system energy efficiency analysis comprises comprehensive energy efficiency ratio analysis of a refrigerating system; the energy consumption analysis of the equipment in the system comprises energy consumption analysis of a refrigeration host, energy consumption analysis of a cooling tower, energy consumption analysis of a cooling pump, energy consumption analysis of a primary pump and energy consumption analysis of a secondary pump; the energy consumption comparison analysis of the equipment in the system comprises energy consumption comparison analysis of a refrigeration host, a cooling tower, a cooling pump, a primary pump and a secondary pump; the energy efficiency comparison analysis of the equipment in the system comprises the energy efficiency ratio comparison analysis among the refrigeration hosts; the in-system equipment maintenance analysis comprises a refrigeration host condenser cleaning maintenance analysis and a refrigeration host evaporator cleaning maintenance analysis.
Fig. 2 shows a schematic diagram of a chilled water related analysis result according to an embodiment of the present invention, wherein an abscissa indicates a date zone and an ordinate indicates a temperature. According to fig. 2, the daily chilled water supply temperature, chilled water return temperature, and chilled water supply return temperature difference, and the trend of the chilled water supply temperature, chilled water return temperature, and chilled water supply return temperature difference over time can be obtained. When the chilled water supply temperature meets the preset chilled water supply temperature and the fluctuation is small, the performance of the refrigeration system is good.
FIG. 3 is a schematic diagram showing the results of the device energy consumption comparison analysis in the system according to the embodiment of the invention, wherein the abscissa is the date; the ordinate is energy consumption, and the unit is kW; five columnar lines correspond to each date on the abscissa, and the columnar lines represent the energy consumption of a refrigeration host, a cooling tower, a cooling pump, a primary pump and a secondary pump in sequence. According to fig. 3, it can be determined whether the energy consumption of each component is reasonable or not, and whether the energy consumption of each component is abnormal or not.
Fig. 4 shows a schematic diagram of a system energy efficiency analysis result according to an embodiment of the present invention, wherein an abscissa indicates a date, a left ordinate indicates a system integrated energy efficiency ratio, and a right ordinate indicates an outdoor temperature bulb temperature. According to fig. 4, the trend of the change of the comprehensive energy efficiency ratio of the system can be obtained to judge the energy efficiency level of the system.
FIG. 5 is a diagram showing the comparison analysis results of energy efficiency ratios of different refrigeration hosts according to an embodiment of the present invention, wherein the abscissa is the load, and the unit is kW; both ordinate are the refrigeration host energy ratio. According to fig. 5, the energy efficiency ratio of different refrigeration hosts can be obtained.
Specifically, in the embodiment of the invention, for the refrigeration host, whether the condenser and the evaporator need cleaning or not and whether maintenance is needed or not are judged by analyzing the minimum heat exchange temperature difference of the condenser and the minimum heat exchange temperature difference of the evaporator.
Still further, in an embodiment of the present invention, the optimization control module is specifically configured to generate a corresponding control instruction according to the analysis result and send the corresponding control instruction to the control system and/or the corresponding sensor.
Still further, the operation optimizing device of the energy power system according to the embodiment of the invention further includes:
and the analysis result output module is used for responding to the analysis result output instruction and outputting the analysis result in the form of a report and/or a chart.
Specifically, in the embodiment of the invention, a plurality of report templates and chart templates are prestored in the analysis result output module, when an analysis result output instruction is received, the analysis result output module determines the corresponding report templates and/or chart templates, and then generates the corresponding analysis result report and/or analysis result chart based on the analysis result according to the report templates and/or chart templates.
Still further, the operation optimizing device of the energy power system according to the embodiment of the invention further includes:
and the function expansion module is used for expanding the data analysis function of the data analysis module according to the input function expansion configuration file.
Specifically, in the embodiment of the present invention, the function expansion module is further configured to optimize and delete an existing data analysis method in the data analysis module.
Still further, the operation optimizing device of the energy power system according to the embodiment of the invention further includes:
and the user interaction module is used for displaying the analysis result to a user and responding to the operation of the user to modify the working parameters of the operation optimizing device.
Correspondingly, on the basis of the operation optimizing device of the energy power system provided by the embodiment of the invention, the embodiment of the invention also provides an operation optimizing method of the energy power system, and the operation optimizing method is realized based on the operation optimizing device of the energy power system provided by the embodiment of the invention.
FIG. 6 illustrates a flow chart of an implementation of a method of operation optimization of an energy power system in accordance with an embodiment of the present invention. Referring to fig. 6, the operation optimization method of the energy power system according to the embodiment of the present invention includes the steps of:
step S100, collecting operation data of a target energy power system;
step 200, saving the collected operation data as a data set;
step S300, determining a corresponding data analysis method according to the type of the target energy power system, and analyzing a preset analysis item of the target energy power system according to the data analysis method and the data set to obtain an analysis result;
and step 400, optimally controlling the operation of the target energy power system according to the analysis result.
The operation optimization method of the energy power system mainly aims at the control system of the energy power equipment of a factory, an online analysis method is used for giving out analysis results such as the operation condition, the energy efficiency level and the faults of the energy power equipment at present, and the analysis results are fed back to the control system according to the optimization rules and strategies, so that the purposes of real-time analysis and optimization are achieved.
Although one or more embodiments of the present invention have been described above, it will be appreciated by those of ordinary skill in the art that the invention can be embodied in any other form without departing from the spirit or scope thereof. The above-described embodiments are therefore intended to be illustrative rather than limiting, and many modifications and substitutions will now be apparent to those of ordinary skill in the art without departing from the spirit and scope of the present invention as defined in the appended claims.
Claims (10)
1. An operation optimizing device of an energy power system, characterized by comprising:
the data acquisition module is used for acquiring the operation data of the target energy power system;
the data storage module is used for storing the collected operation data as a data set;
the data analysis module is used for determining a corresponding data analysis method according to the type of the target energy power system, and analyzing a preset analysis item of the target energy power system according to the data analysis method and the data set so as to obtain an analysis result;
and the optimizing control module is used for optimally controlling the operation of the target energy power system according to the analysis result.
2. The operation optimizing device of an energy power system according to claim 1, wherein the data acquisition module is specifically configured to acquire operation data of the target energy power system according to a preset acquisition frequency, and the operation data includes operation data of a control system and operation data of each sensor.
3. The operation optimizing device of an energy power system according to claim 1, wherein the data storage module is specifically configured to update the data set according to a first-in first-out principle, so that a time length of the data set is equal to a preset time length or a data volume of the data set is equal to a preset data volume.
4. The operation optimization device of an energy power system according to claim 1, wherein the predetermined analysis items of the target energy power system include a system performance analysis, a system energy efficiency analysis, a system energy consumption analysis, a system internal device performance analysis, a system internal device energy consumption analysis, a system internal device energy efficiency analysis, a system internal device performance comparison analysis, a system internal device energy consumption comparison analysis, a system internal device energy efficiency comparison analysis, and a system internal device maintenance analysis.
5. The operation optimizing device of an energy power system according to claim 4, wherein if the target energy power system is a refrigeration system, the system performance analysis includes a chilled water supply temperature and temperature fluctuation analysis, a chilled water return temperature and temperature fluctuation analysis, and a chilled water supply return temperature difference and temperature difference fluctuation analysis;
and/or if the target energy power system is a refrigeration system, the system energy efficiency analysis comprises comprehensive energy efficiency ratio analysis of the refrigeration system;
and/or if the target energy power system is a refrigeration system, the energy consumption analysis of equipment in the system comprises energy consumption analysis of a refrigeration host, energy consumption analysis of a cooling tower, energy consumption analysis of a cooling pump, energy consumption analysis of a primary pump and energy consumption analysis of a secondary pump;
and/or if the target energy power system is a refrigeration system, the energy consumption comparison analysis of the equipment in the system comprises energy consumption comparison analysis of a refrigeration host, a cooling tower, a cooling pump, a primary pump and a secondary pump;
and/or if the target energy power system is a refrigeration system, the energy efficiency comparison analysis of the equipment in the system comprises the energy efficiency ratio comparison analysis among all refrigeration hosts;
and/or if the target energy power system is a refrigeration system, the in-system equipment maintenance analysis comprises refrigeration host condenser cleaning maintenance analysis and refrigeration host evaporator cleaning maintenance analysis.
6. The operation optimizing device of an energy power system according to claim 2, wherein the optimizing control module is specifically configured to generate a corresponding control command according to the analysis result and send the control command to the control system and/or the corresponding sensor.
7. The operation optimization device of an energy power system according to claim 1, characterized by further comprising:
and the analysis result output module is used for responding to the analysis result output instruction and outputting the analysis result in the form of a report and/or a chart.
8. The operation optimization device of an energy power system according to claim 7, characterized by further comprising:
and the function expansion module is used for expanding the data analysis function of the data analysis module according to the input function expansion configuration file.
9. The operation optimization device of an energy power system according to claim 8, characterized by further comprising:
and the user interaction module is used for displaying the analysis result to a user and responding to the operation of the user to modify the working parameters of the operation optimizing device.
10. A method of optimizing operation of an energy power system, comprising:
collecting operation data of a target energy power system;
storing the collected operation data as a data set;
determining a corresponding data analysis method according to the type of the target energy power system, and analyzing a preset analysis item of the target energy power system according to the data analysis method and the data set to obtain an analysis result;
and optimally controlling the operation of the target energy power system according to the analysis result.
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| CN113722889A (en) * | 2021-08-05 | 2021-11-30 | 武汉卓尔信息科技有限公司 | Energy efficiency online analysis system and method based on artificial intelligence |
| CN113918322A (en) * | 2021-09-09 | 2022-01-11 | 芯华章科技股份有限公司 | Method and equipment for dynamically storing simulation data of logic system design in memory |
| CN115248979A (en) * | 2022-07-28 | 2022-10-28 | 西安思安云创科技有限公司 | Distributed energy system collaborative optimization method |
| CN115983582A (en) * | 2022-12-28 | 2023-04-18 | 普天通信有限责任公司 | Data analysis method and energy consumption management system |
| CN116109152A (en) * | 2023-01-13 | 2023-05-12 | 东方电气风电股份有限公司 | System and method for evaluating effectiveness of power-added and upgraded product of wind generating set |
| CN116244290A (en) * | 2023-02-23 | 2023-06-09 | 广州智慧能源服务有限公司 | Intelligent energy consumption analysis system and method |
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