CN113592281A - Power station performance analysis method, device, equipment and storage medium - Google Patents
Power station performance analysis method, device, equipment and storage medium Download PDFInfo
- Publication number
- CN113592281A CN113592281A CN202110843548.2A CN202110843548A CN113592281A CN 113592281 A CN113592281 A CN 113592281A CN 202110843548 A CN202110843548 A CN 202110843548A CN 113592281 A CN113592281 A CN 113592281A
- Authority
- CN
- China
- Prior art keywords
- power station
- storage power
- performance
- pumped
- pumped storage
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000003860 storage Methods 0.000 title claims abstract description 268
- 238000004458 analytical method Methods 0.000 title claims abstract description 53
- 238000011156 evaluation Methods 0.000 claims abstract description 114
- 238000000034 method Methods 0.000 claims abstract description 38
- MWUXSHHQAYIFBG-UHFFFAOYSA-N nitrogen oxide Inorganic materials O=[N] MWUXSHHQAYIFBG-UHFFFAOYSA-N 0.000 claims description 57
- CURLTUGMZLYLDI-UHFFFAOYSA-N Carbon dioxide Chemical compound O=C=O CURLTUGMZLYLDI-UHFFFAOYSA-N 0.000 claims description 32
- 230000008901 benefit Effects 0.000 claims description 32
- 230000007613 environmental effect Effects 0.000 claims description 27
- 238000010248 power generation Methods 0.000 claims description 26
- 238000005086 pumping Methods 0.000 claims description 26
- 238000005265 energy consumption Methods 0.000 claims description 23
- RAHZWNYVWXNFOC-UHFFFAOYSA-N Sulphur dioxide Chemical compound O=S=O RAHZWNYVWXNFOC-UHFFFAOYSA-N 0.000 claims description 20
- 229910002092 carbon dioxide Inorganic materials 0.000 claims description 16
- 239000001569 carbon dioxide Substances 0.000 claims description 16
- 230000005611 electricity Effects 0.000 claims description 16
- 230000009467 reduction Effects 0.000 claims description 13
- 238000004590 computer program Methods 0.000 claims description 11
- 238000010586 diagram Methods 0.000 description 18
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 15
- 239000003245 coal Substances 0.000 description 9
- 238000004146 energy storage Methods 0.000 description 6
- 238000004891 communication Methods 0.000 description 5
- 230000006870 function Effects 0.000 description 5
- 238000012545 processing Methods 0.000 description 5
- IJGRMHOSHXDMSA-UHFFFAOYSA-N Atomic nitrogen Chemical compound N#N IJGRMHOSHXDMSA-UHFFFAOYSA-N 0.000 description 4
- 238000004364 calculation method Methods 0.000 description 4
- 230000000694 effects Effects 0.000 description 4
- 230000003287 optical effect Effects 0.000 description 4
- 230000008569 process Effects 0.000 description 4
- 230000004048 modification Effects 0.000 description 3
- 238000012986 modification Methods 0.000 description 3
- NINIDFKCEFEMDL-UHFFFAOYSA-N Sulfur Chemical compound [S] NINIDFKCEFEMDL-UHFFFAOYSA-N 0.000 description 2
- 238000010521 absorption reaction Methods 0.000 description 2
- 238000006243 chemical reaction Methods 0.000 description 2
- 238000002485 combustion reaction Methods 0.000 description 2
- 238000006477 desulfuration reaction Methods 0.000 description 2
- 230000023556 desulfurization Effects 0.000 description 2
- 229910052757 nitrogen Inorganic materials 0.000 description 2
- 238000005457 optimization Methods 0.000 description 2
- 229910052717 sulfur Inorganic materials 0.000 description 2
- 239000011593 sulfur Substances 0.000 description 2
- 208000026817 47,XYY syndrome Diseases 0.000 description 1
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 229910052799 carbon Inorganic materials 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000006735 deficit Effects 0.000 description 1
- 239000000446 fuel Substances 0.000 description 1
- 239000007789 gas Substances 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- QJGQUHMNIGDVPM-UHFFFAOYSA-N nitrogen group Chemical group [N] QJGQUHMNIGDVPM-UHFFFAOYSA-N 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 230000002441 reversible effect Effects 0.000 description 1
- 239000004065 semiconductor Substances 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- Development Economics (AREA)
- Educational Administration (AREA)
- Entrepreneurship & Innovation (AREA)
- Tourism & Hospitality (AREA)
- General Business, Economics & Management (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Marketing (AREA)
- Physics & Mathematics (AREA)
- Game Theory and Decision Science (AREA)
- Quality & Reliability (AREA)
- Operations Research (AREA)
- Health & Medical Sciences (AREA)
- Public Health (AREA)
- Water Supply & Treatment (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Supply And Distribution Of Alternating Current (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The embodiment of the application provides a method, a device, equipment and a storage medium for analyzing the performance of a power station, wherein the method receives a first instruction, and the first instruction is used for indicating the performance of a pumped storage power station to be analyzed; acquiring source data of the pumped storage power station in a set time period according to the first instruction; determining evaluation values of at least two power station performance evaluation indexes of the pumped storage power station according to the source data; and if the evaluation value meets the set performance grade condition, determining the performance grade of the pumped storage power station as the performance grade corresponding to the set performance grade condition. Therefore, the accuracy of the power station performance analysis is improved.
Description
Technical Field
The application relates to the technical field of new energy power generation, in particular to a method, a device, equipment and a storage medium for analyzing the performance of a power station.
Background
A pumped storage power station (pumped storage power station) pumps water to an upper reservoir by using electric energy in a power load valley period, and discharges water to a hydropower station for generating power in a lower reservoir in a power load peak period. Also known as energy storage hydropower stations.
At present, when the pumped storage power station is subjected to performance analysis, the pumping capacity of the pumped storage power station can be generally utilized for the performance analysis.
However, performance analysis is performed only by using the pumping power generation amount of the pumped storage power station, accuracy is low, and no better optimization scheme exists at present for how to improve the accuracy of the performance analysis of the power station.
Disclosure of Invention
The embodiment of the application provides a method, a device, equipment and a storage medium for analyzing the performance of a power station, which are used for solving the defect that an optimization scheme for improving the accuracy of the performance analysis of the power station does not exist in the prior art, and the performance grade of a pumped storage power station can be determined through the evaluation values of at least two power station performance evaluation indexes, so that the accuracy of the performance analysis of the power station can be improved.
In a first aspect, an embodiment of the present application provides a method for analyzing performance of a power station, including:
receiving a first instruction, wherein the first instruction is used for indicating the performance of the pumped storage power station to be analyzed;
acquiring source data of the pumped storage power station in a set time period according to the first instruction;
determining evaluation values of at least two power station performance evaluation indexes of the pumped storage power station according to the source data;
and if the evaluation value meets the set performance grade condition, determining the performance grade of the pumped storage power station as the performance grade corresponding to the set performance grade condition.
Optionally, according to the performance analysis method of the power station in an embodiment of the present application, the at least two power station performance evaluation indicators include any two or more of the following:
pumping a power generation amount index;
energy consumption index;
peak clipping and valley filling indexes;
a capacity efficiency index;
environmental benefit index.
Optionally, according to the performance analysis method of the power station in an embodiment of the present application, the at least two performance evaluation indicators include an energy consumption indicator;
the determining an assessment value of at least two plant performance assessment indicators of the pumped-storage power plant based on the source data comprises:
determining a first evaluation value of the energy consumption index of the pumped storage power station according to the source data;
wherein the first evaluation value includes a first utilization rate and/or a second utilization rate, the first utilization rate is a plant utilization rate of the pumped-storage power plant in a wind curtailment period, and the second utilization rate is a plant utilization rate of the pumped-storage power plant in a light curtailment period.
Optionally, according to the performance analysis method of the power station in an embodiment of the present application, the at least two performance evaluation indexes include a peak clipping and valley filling index;
the determining an assessment value of at least two plant performance assessment indicators of the pumped-storage power plant based on the source data comprises:
determining a second evaluation value of the peak clipping and valley filling indexes of the pumped storage power station according to the source data;
wherein the second evaluation value includes at least one or more of:
the first electric quantity is used for representing the internet electric quantity of the pumped storage power station after the electricity consumption of the pumped storage power station is removed in the set time period;
the second electric quantity is used for representing grid-connected receiving electric quantity of the pumped storage power station after the self electric quantity is removed in the set time period;
the peak clipping and valley filling output coefficient is used for representing the absolute value of the daily output curve of the pumped storage power station and the daily load curve of the power grid system;
the peak regulation contribution rate is used for representing the contribution degree of the pumped storage power station to the peak regulation of the power grid system after the pumped storage power station is put into operation;
and the valley filling contribution rate is used for representing the contribution degree of the pumped storage power station to the valley filling of the power grid system after the pumped storage power station is put into operation.
Optionally, according to the performance analysis method of the power station in an embodiment of the present application, the at least two performance evaluation indicators include a capacity efficiency indicator;
the determining an assessment value of at least two plant performance assessment indicators of the pumped-storage power plant based on the source data comprises:
determining a third estimate of the capacity efficiency indicator of the pumped-storage power plant from the source data, the third estimate comprising at least one or more of:
hours of use;
capacity utilization rate;
and (4) integrating the efficiency coefficient.
Optionally, according to the performance analysis method of the power station in an embodiment of the present application, the at least two performance evaluation indicators include an environmental benefit indicator;
the determining an assessment value of at least two plant performance assessment indicators of the pumped-storage power plant based on the source data comprises:
determining a fourth evaluation value of the pumped-storage power station under the environmental benefit index according to the source data, wherein the fourth evaluation value at least comprises one or more of the following items:
a first emission quantity, wherein the first emission quantity is used for representing the reduction of the emission quantity of the carbon dioxide of the pumped storage power station;
a second emission amount, wherein the second emission amount is used for representing the reduction of the emission amount of the sulfur dioxide of the pumped storage power station;
and the second emission is used for representing that the pumped storage power station reduces the emission of nitrogen oxides for the pumped storage power station.
Optionally, according to an embodiment of the present application, the method for analyzing performance of a power station further includes:
and outputting the evaluation value and/or the performance grade of the pumped-storage power station.
In a second aspect, an embodiment of the present application provides a performance analysis apparatus for a power station, including:
the system comprises a receiving unit, a judging unit and a control unit, wherein the receiving unit is used for receiving a first instruction, and the first instruction is used for indicating the performance analysis of the pumped storage power station;
the acquisition unit is used for acquiring source data of the pumped storage power station in a set time period by the first instruction;
the first determination unit is used for determining the evaluation values of at least two power station performance evaluation indexes of the pumped storage power station according to the source data;
and the second determining unit is used for determining the performance grade of the pumped storage power station according to the evaluation value.
In a third aspect, an embodiment of the present application provides an electronic device, where the electronic device includes a memory, and a processor: a memory for storing a computer program; a processor for reading the computer program in the memory and executing the steps of the method of performance analysis of a power station of the first aspect.
In a fourth aspect, embodiments of the present application provide a processor-readable storage medium, which stores a computer program for causing a processor to execute the steps of the performance analysis method of the power station according to the first aspect.
According to the method, the device, the equipment and the storage medium for analyzing the performance of the power station, after the first instruction for indicating the performance analysis of the pumped storage power station is received, the source data of the pumped storage power station in the set time period can be obtained, the evaluation values of at least two power station performance evaluation indexes of the pumped storage power station are determined according to the source data, the performance grade of the pumped storage power station is determined according to the evaluation values of the power station performance evaluation indexes, and therefore the accuracy of the power station performance analysis is improved.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be 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 application, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a schematic structural diagram of a power grid system provided in an embodiment of the present application;
FIG. 2 is a schematic flow chart illustrating a method for analyzing the performance of a power station according to an embodiment of the present disclosure;
fig. 3A is a graph illustrating an energy consumption evaluation trend provided in an embodiment of the present application;
FIG. 3B is a graph illustrating the effect of energy consumption on a typical day of the four seasons, provided by an embodiment of the present application;
FIG. 4 is a graph comparing power generation and pumped-hydro power curves of a pumped-hydro energy storage power plant provided by an embodiment of the present application;
FIG. 5 is a diagram of a pumped-storage power plant capacity efficiency analysis provided by an embodiment of the present application;
FIG. 6 is a schematic illustration of a one-year gas emission reduction in a pumped-hydro energy storage power plant provided by an embodiment of the present application;
fig. 7 is a schematic structural diagram of a performance analysis apparatus of a power station according to an embodiment of the present application;
fig. 8 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
In the embodiment of the present application, the term "and/or" describes an association relationship of associated objects, and means that there may be three relationships, for example, a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship.
In the embodiments of the present application, the term "plurality" means two or more, and other terms are similar thereto.
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Fig. 1 is a schematic structural diagram of a power grid system according to an embodiment of the present application. As shown in fig. 1, the grid system may include a wind power plant 11, a photovoltaic power plant 12, a pumped-storage power plant 133, a thermal power plant 14, and a grid control device 21. As shown in fig. 1, when the wind power plant 11, the photovoltaic power plant 12, and the pumped-hydro power storage power plant 133 jointly operate, the grid control device 21 may analyze the performance of the pumped-hydro power storage power plant 133.
The following description will be made by way of specific examples.
FIG. 2 is a schematic flow chart illustrating a method for analyzing the performance of a power station according to an embodiment of the present disclosure; the method of analyzing the performance of the plant can be used for the grid control device 21 in fig. 1. As shown in fig. 2, the method for analyzing the performance of the power station may include the steps of:
Specifically, the first instruction may be a performance analysis start instruction input by the administrator.
And step 202, acquiring source data of the pumped storage power station in a set time period according to the first instruction.
Specifically, the set period may be a period of time such as: a wind abandoning period or a light abandoning period; there may be a number of different time periods, such as: a wind curtailment period and a light curtailment period.
The wind abandoning period in the application can refer to a period which cannot meet the requirement of large-scale wind power generation absorption when the peak regulation capacity of a power grid system is seriously insufficient.
The light abandoning period in the application can refer to a period which is not suitable for large-scale photovoltaic power generation consumption requirements when the peak regulation capacity of a power grid system is seriously insufficient.
The following embodiments refer to the wind curtailment period and the light curtailment period, which have the same meaning, and the description thereof will not be repeated.
And step 203, determining evaluation values of at least two power station performance evaluation indexes of the pumped storage power station according to the source data.
Specifically, the at least two power station performance evaluation indexes may include 2 power station performance evaluation indexes, and may also include 3 power station performance evaluation indexes and the like.
In order to improve the accuracy of the power station performance analysis, comprehensive analysis can be performed by combining a plurality of power station performance evaluation indexes.
Such as: the at least two power station performance evaluation indexes comprise an energy consumption index and a peak clipping and valley filling index, and the evaluation value of the energy consumption index and the evaluation value of the peak clipping and valley filling index can be determined according to the source data.
And 204, if the evaluation value meets the set performance grade condition, determining the performance grade of the pumped storage power station as the performance grade corresponding to the set performance grade condition.
Specifically, the performance level of the pumped storage power station may include a plurality of different performance levels, each of the performance levels may set a corresponding set performance level condition, and if the evaluation value satisfies the set performance level condition, the performance level of the pumped storage power station may be determined to be the performance level corresponding to the set performance level condition.
Such as: and setting the performance grade condition as a setting condition corresponding to the first performance grade, and if the evaluation values of the at least two power station performance evaluation indexes meet the setting condition corresponding to the first performance grade, determining the performance grade of the pumped storage power station as the first performance grade.
According to the embodiment, after the first instruction for indicating the performance analysis of the pumped-storage power station is received, the source data of the pumped-storage power station in the set time period can be obtained, the evaluation values of at least two power station performance evaluation indexes of the pumped-storage power station are determined according to the source data, and the performance grade of the pumped-storage power station is determined according to the evaluation values of the power station performance evaluation indexes, so that the accuracy of the power station performance analysis is improved.
Optionally, the at least two plant performance assessment indicators include any two or more of:
pumping a power generation amount index;
energy consumption index;
peak clipping and valley filling indexes;
a capacity efficiency index;
environmental benefit index.
Correspondingly, when step 204 is executed, the evaluation values of at least two power station performance evaluation indexes of the pumping power generation index, the energy consumption index, the peak load shifting index, the capacity efficiency index and the environmental benefit index are compared with the set performance grade condition, and the performance grade of the pumped storage power station is determined according to the comparison result.
Wherein, the setting of the performance grade condition can preset the threshold value of each index, and if the threshold value is exceeded, a performance grade is set; if the threshold is not exceeded, another performance level is set.
Such as: if the utilization rate of the pumped storage power station in the wind abandoning and light time period reaches 65%, the absorption benefit of the pumped storage power station is good. The threshold for the energy consumption index may be set to 65% at this time.
For another example: if the peak clipping and valley filling output coefficient of the pumped storage power station reaches 0.15, the peak clipping and valley filling benefits of the pumped storage power station are good, and the peak clipping and valley filling effect of the pumped storage power station is better when the peak clipping and valley filling output coefficient value is higher; if the peak shaving contribution rate of the pumped storage power station reaches 15%, the peak shaving contribution of the pumped storage power station is good, and the higher the peak shaving contribution rate is, the higher the contribution degree of the pumped storage power station to the power grid system is; if the valley filling contribution rate of the pumped storage power station reaches 15%, the valley filling contribution of the pumped storage power station is good, and the higher the valley filling contribution rate is, the higher the contribution degree of the pumped storage power station to the power grid system is. The threshold of the peak clipping and valley filling index may be set as: the peak clipping and valley filling output coefficient reaches 0.15, the peak clipping contribution rate reaches 15%, and the valley filling contribution rate reaches 15%.
For another example: the annual comprehensive efficiency coefficient of the pumped storage power station is generally 0.75-0.77 and is within the range, which indicates that the pumped storage power station has good efficiency. If the number of hours of the pumped storage power station in the whole year reaches 600h, the pumped storage power station in the power storage station is indicated to have good utilization rate, and at the moment, the threshold value of the capacity efficiency index can be set as: the comprehensive efficiency coefficient is 0.75-0.77, and the utilization hours reach 600 h.
For another example: if the carbon dioxide emission reduction of the pumped storage power station reaches 155000 tons in one year, which indicates that the environmental benefit of the pumped storage power station is good, the threshold value of the environmental benefit index can be set to be carbon dioxide emission reduction reaching 155000 tons. According to the embodiment, comprehensive analysis can be performed by combining a plurality of power station performance evaluation indexes in the pumping power generation index, the energy consumption index, the peak load shifting index, the capacity efficiency index and the environmental benefit index, so that the accuracy of power station performance analysis can be improved, a subsequent power grid system can conveniently schedule other power stations according to the performance of the pumped storage power station, and the reliability of power grid scheduling is also improved.
Optionally, the at least two performance evaluation indicators include an energy consumption indicator;
the determining an assessment value of at least two plant performance assessment indicators of the pumped-storage power plant based on the source data comprises:
determining a first evaluation value of the energy consumption index of the pumped storage power station according to the source data;
wherein the first evaluation value includes a first utilization rate and/or a second utilization rate, the first utilization rate is a plant utilization rate of the pumped-storage power plant in a wind curtailment period, and the second utilization rate is a plant utilization rate of the pumped-storage power plant in a light curtailment period.
Specifically, the existing power system has the characteristic of high-proportion renewable energy grid connection, uncertainty caused by large-scale high-proportion renewable energy grid connection brings great difficulty to operation scheduling of a power grid system, and economic benefits of the power grid are reduced due to large waste of energy sources such as wind power and photovoltaic, so that the pumped storage power station is a good adjusting means as an energy storage device. Therefore, when the operation energy efficiency of the pumped storage power station is analyzed, the consumption capability of the new energy of the pumped storage power station needs to be judged, so that an expression of the new energy consumption index of the pumped storage power station is established, namely, the first evaluation value can be calculated by using the following formula (1). Wherein, formula (1) is specifically as follows:
the water pumping power of the power station in the wind abandoning period refers to the water pumping power of the pumped storage power station in the wind abandoning period; the pumping power of the light abandoning time period power station refers to the pumping power of the pumped storage power station in the light abandoning time period; the rated pumping power of the power station refers to the rated pumping power of the pumped storage power station.
The embodiment shows that the power station utilization rate of the pumped storage power station in the wind abandoning period and the power station utilization rate of the pumped storage power station in the light abandoning period can be determined according to the source data, so that the performance of the pumped storage power station can be conveniently determined in the aspect of energy consumption, and the accuracy of power station performance analysis is improved.
Optionally, the at least two performance evaluation indexes include a peak clipping and valley filling index;
the determining an assessment value of at least two plant performance assessment indicators of the pumped-storage power plant based on the source data comprises:
determining a second evaluation value of the peak clipping and valley filling indexes of the pumped storage power station according to the source data;
wherein the second evaluation value includes at least one or more of:
the first electric quantity is used for representing the internet electric quantity of the pumped storage power station after the electricity consumption of the pumped storage power station is removed in the set time period;
the second electric quantity is used for representing grid-connected receiving electric quantity of the pumped storage power station after the self electric quantity is removed in the set time period;
the peak clipping and valley filling output coefficient is used for representing the absolute value of the daily output curve of the pumped storage power station and the daily load curve of the power grid system;
the peak regulation contribution rate is used for representing the contribution degree of the pumped storage power station to the peak regulation of the power grid system after the pumped storage power station is put into operation;
and the valley filling contribution rate is used for representing the contribution degree of the pumped storage power station to the valley filling of the power grid system after the pumped storage power station is put into operation.
Specifically, the second evaluation value may be calculated using the following equations (2) to (6). Wherein, the formulas (2) to (6) are specifically as follows:
the first network electricity quantity refers to the actual network electricity quantity of the pumped storage power station after the electricity consumption of the pumped storage power station is removed in the evaluation period, and is specifically represented as follows:
Qs＝Qf·(1-αf)…………………………………………………(2)
wherein, Q issRepresenting said first quantity of electricity, said QfTo representThe generated energy of the pumped storage power station within the set time is alphafAnd the power consumption rate of the pumped storage power station during power generation is represented.
Secondly, the grid-connected electricity quantity represents the grid-connected electricity quantity actually obtained after the pumped storage power station eliminates the electricity consumption per se in the evaluation period, and the grid-connected electricity quantity is specifically represented as follows:
Qh＝Qc·(1-αg)……………………………………………………(3)
wherein, Q ishRepresents the second quantity of electricity, said QcRepresenting the pumped-storage power station pumped-storage electricity quantity within the set time, the alphagAnd representing the power consumption rate of the pumped storage power station when the pumped storage power station pumps water.
Thirdly, the peak load shifting output coefficient represents the absolute value of the correlation coefficient of the power plant sunrise curve and the power grid system sunrise load curve, and is specifically represented as follows:
wherein, r isfRepresents the peak clipping and valley filling output coefficient, X represents the statistic of the sunrise output curve of the pumped storage power station at a set time interval (e.g. 15 minutes), and
representing the mean value of the sunrise curve of the pumped storage power station at the set time interval, Y representing the daily load curve statistic of the power grid system
And the average value of daily load curves of the power grid system at the set time interval is represented. It should be noted that the power grid system referred to herein refers to a power grid system at the location of the pumped-storage power station, such as: the pumped storage power station is a whole provincial/regional level power grid system at the location.
Fourthly, the peak shaving contribution rate represents the contribution degree of the pumped storage unit to the system peak shaving after the pumped storage unit is put into operation, and is specifically represented as follows:
wherein, the betafRepresenting the peak shaver contribution, the Δ PfRepresenting a peak deficit of the grid system without the pumped-storage power station, the S representing an installed capacity of the pumped-storage power station. It should be noted that the power grid system referred to herein refers to a power grid system at the location of the pumped-storage power station, such as: the pumped storage power station is a whole provincial/regional level power grid system at the location.
Fifthly, the valley filling contribution rate represents the contribution degree of the pumped storage unit to the system after the pumped storage unit is put into operation, and is specifically represented as:
wherein, the betagRepresents the valley fill contribution, the Δ PgAnd S represents the installed capacity of the pumped-storage power station. It should be noted that the power grid system referred to herein refers to a power grid system at the location of the pumped-storage power station, such as: the pumped storage power station is a whole provincial/regional level power grid system at the location.
According to the embodiment, the network power, the peak clipping and valley filling output coefficient, the peak shaving contribution rate and the valley filling contribution rate can be determined according to the source data, so that the performance of the pumped storage power station can be conveniently determined in the aspect of peak clipping and valley filling, and the accuracy of performance analysis of the power station is improved.
Optionally, the at least two performance evaluation indicators include a capacity efficiency indicator;
the determining an assessment value of at least two plant performance assessment indicators of the pumped-storage power plant based on the source data comprises:
determining a third estimate of the capacity efficiency indicator of the pumped-storage power plant from the source data, the third estimate comprising at least one or more of:
hours of use;
capacity utilization rate;
and (4) integrating the efficiency coefficient.
Specifically, the second evaluation value may be calculated using the following equations (7) to (9).
Wherein, the formulas (7) to (9) are specifically as follows:
wherein the utilization hours in equation (7) and equation (8) refer to the number of hours of operation of the pumped-storage power plant under full load operating conditions;
the statistical hours in the formula (8) refer to the operation hours of the pumped storage power station under the pumping and power generation conditions;
the power generation amounts in the formula (7) and the formula (9) refer to the power generation amounts of the pumped storage power station in a set period (i.e., a period for performance analysis);
the pumped-hydro circuit in equation (9) refers to the power generation of the pumped-hydro energy storage power station in a set period of time (i.e., the period of time for performance analysis).
The embodiment shows that the utilization hours, the capacity utilization rate and the comprehensive efficiency coefficient can be determined according to the source data, so that the performance of the pumped storage power station can be conveniently determined from the aspect of capacity efficiency, and the accuracy of performance analysis of the power station is improved.
Optionally, the at least two performance evaluation indicators include an environmental benefit indicator;
the determining an assessment value of at least two plant performance assessment indicators of the pumped-storage power plant based on the source data comprises:
determining a fourth evaluation value of the pumped-storage power station under the environmental benefit index according to the source data, wherein the fourth evaluation value at least comprises one or more of the following items:
a first emission quantity, wherein the first emission quantity is used for representing the reduction of the emission quantity of the carbon dioxide of the pumped storage power station;
a second emission amount, wherein the second emission amount is used for representing the reduction of the emission amount of the sulfur dioxide of the pumped storage power station;
and the second emission is used for representing that the pumped storage power station reduces the emission of nitrogen oxides for the pumped storage power station.
Specifically, the second evaluation value may be calculated using the following equations (10) to (14). The equations (10) to (14) are specifically as follows:
first, calculation of the first emission (i.e. the environmental benefit of reducing carbon dioxide emissions):
wind power, photovoltaic and pumped storage are green clean energy, and carbon dioxide can be considered not to be discharged, so that a carbon emission model of a thermal power generating unit is required for calculating carbon dioxide emission under the combined operation of wind power, photovoltaic and pumped storage, and the relationship between power and carbon dioxide emission can be considered to meet the following relationship:
wherein, TiRepresenting the carbon dioxide emission of the thermal power generating unit in the ith period; p is a radical oftiRepresenting the output of the thermal power generating unit in the ith period; and alpha, beta and gamma are carbon dioxide emission coefficients of the thermal power generating unit.
When wind power-photovoltaic-pumped storage combined operation is performed, the carbon dioxide emission reduction amount in the ith period can be calculated according to the following formula:
wherein, Delta TiRepresenting the carbon dioxide emission reduction amount (namely a first emission amount) of the thermal power generating unit in the ith period; Δ ptiAnd representing the reduced output of the thermal power generating unit in the ith period.
And the calculation process of the second emission (namely the environmental benefit of reducing the emission of the sulfur dioxide) comprises the following steps:
Y＝2·B·F·S(1-η)……………………………………………(12)
y is the environmental benefit generated by reducing the discharge of released sulfur dioxide in the pumped storage power station, namely the reduced sulfur dioxide discharge after the pumped storage unit is put into use, and the unit is ton; b represents the coal consumption reduced by putting the pumping unit into operation, and the unit is ton; f represents the conversion rate of sulfur-containing components in the coal to sulfur dioxide during combustion (0.90 is usually taken for a boiler of a thermal power plant), and S represents the sulfur content in the coal; η represents the desulfurization efficiency, and η is 0 if the power plant does not employ a desulfurization device.
And the calculation process of the third emission (namely the environmental benefit of reducing the emission of the nitrogen oxides) comprises the following steps:
wherein X represents the environmental benefit generated by reducing the discharge of released nitrogen oxides in the pumped storage power station, namely the discharge of the nitrogen oxides reduced after the pumped storage unit is put into use, and the unit is ton; b represents the coal consumption reduced by putting the pumping unit into operation, and the unit is ton; n represents the average percentage of nitrogen-containing components in the coal; m is the percentage of nitrogen oxides generated by burning nitrogen components in the coal to the total emission of the nitrogen oxides, and is generally 80 percent; etanThe conversion rate of the nitrogen component of the fuel is expressed, and is generally 25%; etaNIndicating the denitrification efficiency of the denitrification apparatus.
If the nitrogen oxide emission calculated by the model is accurate, but the data is difficult to obtain, the nitrogen oxide emission factor can be used for estimating the nitrogen oxide emission by adopting an approximate coefficient method. The environmental benefit of calculating the reduced nitrogen oxide emission of the pumped storage power station by using the nitrogen oxide emission factor is as follows:
X＝K·B/1000……………………………………………………(14)
wherein X represents the environmental benefit generated by reducing the discharge of released nitrogen oxides in the pumped storage power station, namely the discharge of the reduced nitrogen oxides after the pumped storage power station is put into use, and the unit is ton; k represents a boiler emission factor, namely the emission of nitrogen oxides released by unit coal combustion, and the unit is kilogram/ton, and the value is 12.2 according to an empirical value; and B represents the reduced coal consumption due to the operation of the pumping unit, and the unit is ton.
According to the embodiment, the environmental benefits of reducing the emission of carbon dioxide, sulfur dioxide and nitrogen oxides can be determined according to the source data, so that the performance of the pumped storage power station can be determined conveniently from the aspect of the environmental benefits, and the accuracy of performance analysis of the power station is improved.
Optionally, the at least two performance evaluation indexes include a pumping power generation index;
the determining an assessment value of at least two plant performance assessment indicators of the pumped-storage power plant based on the source data comprises:
determining a fifth estimation value of the peak clipping and valley filling index pumping and generating capacity index of the pumped storage power station according to the source data;
wherein the fifth evaluation value includes at least one or more of:
pumping water to obtain electric quantity;
and generating capacity.
Specifically, the pumped storage power station can be operated as a water turbine and a water pump; the water pump can generate electricity and pump water; the power supply can supply power to the power grid and can absorb the power of the power grid; the power generation device is not only a power generation source, but also an electric load. The fifth evaluation value can be calculated using the following formula (15) and formula (16). Wherein, the formula (15) and the formula (16) are specifically as follows:
wherein E isPThe unit of the pumped electric quantity is KW.h; p1(t) represents the pumped-hydro power of the pumped-hydro energy storage power station; t is t1And t2Representing the time period during which the pumped-hydro power plant is operating.
Wherein E isTRepresenting the generated energy with the unit of KWh; p2(t) represents the generated power of the pumped storage power station; t is t1And t2Representing the time period during which the pumped-hydro power plant is operating.
The pumped storage power station can be operated as a water turbine and a water pump; the water pump can generate electricity and pump water; the power supply can supply power to the power grid and can absorb the power of the power grid; the power generation device is not only a power generation source, but also an electric load.
According to the embodiment, the pumped storage power station can determine the pumped storage electric quantity and the power generation quantity according to the source data, so that the performance of the pumped storage power station can be conveniently determined in the aspect of the pumped storage power generation quantity, and the accuracy of the performance analysis of the power station is improved.
Optionally, the method further comprises:
and outputting the evaluation value and/or the performance grade of the pumped-storage power station.
Specifically, the evaluation value of each power station performance evaluation index of the pumped storage power station and/or the performance grade of the pumped storage power station can be displayed on a display screen of the power grid control device; the evaluation value of each power station performance evaluation index of the pumped storage power station and/or the performance grade of the pumped storage power station can also be sent to another display device in a certain communication mode.
In addition, when outputting, the display can be performed in a specific display mode, such as: block diagrams, graphs, and the like.
It can be seen from the above embodiments that after the evaluation values of the performance evaluation indexes of each pumped storage power station and/or the performance levels of the pumped storage power stations are determined, the evaluation values of the performance evaluation indexes of each pumped storage power station and/or the performance levels of the pumped storage power stations can be output, so that managers can obtain the performance analysis results in time, and user experience is improved.
The specific process of performance analysis of the above-described power station is described below in terms of a specific pumped-hydro power station (e.g., pumped-hydro power station 133 in FIG. 1):
the total installed capacity of the pumped storage power station 13 is 1200MW, 4 300MW vertical single-stage reversible pumping storage units are adopted, the power of each unit in the power generation state is continuously adjustable, and the power in the pumped storage state is constant at 300 MW.
According to the method, the comprehensive energy efficiency of the pumped storage power station 13 participating in the high-proportion renewable energy power system is analyzed, a peak clipping and valley filling energy efficiency analysis model and a new energy consumption benefit analysis model of the pumped storage power station 13 are established, the economic benefit and the environmental benefit of the pumped storage power station 13 on the power grid system under the condition of giving the wind-light output characteristic and the load characteristic are calculated, and the influence on the thermal power output characteristic and the wind-light output characteristic when the power grid system does not participate in the pumping and the pumping is analyzed. The following conclusions are obtained through calculation and research of relevant indexes:
as shown in fig. 3A and 3B, in terms of new energy consumption, according to the analysis under the time sequence of day, the wind and light abandoning amount reduced in the spring and winter seasons typically is the largest, which is 7750.1MWh and 6016.8MWh respectively, and the utilization rate of the pumped storage power station 13 is also higher when wind and light abandoning is 75.98% and 60.78% respectively.
As shown in fig. 4, in terms of peak clipping and valley filling efficiency, the thermal power is smoother and less fluctuating when the pumped storage is involved in regulation, and the variance of the thermal power is reduced by 29.1% in spring at most compared with the variance of the thermal power in the absence of the pumped storage. Because the thermal power generation amount is much larger than the output of the thermal power generation amount in a non-heat supply period in spring and winter, the output variance of the thermal power generating unit with the pumping and storage unit participating in adjustment is obviously reduced, the deep peak regulation phenomenon of the thermal power generating unit is greatly relieved, and the operation stability of the thermal power generating unit is improved. The pumped storage power station can be quickly started when the power grid needs to generate power or pump water to operate, peak clipping and valley filling are performed on the power grid, and safe and reliable operation of the power grid is guaranteed.
As shown in fig. 5, in the capacity efficiency analysis, the utilization rate of the pumped-storage power station 13 in winter is the first due to the abundant wind resources in winter, wherein the comprehensive efficiency coefficient in winter is 84.24%, the number of hours of utilization of the pumped-storage power station is 206.04 hours, and the comprehensive efficiency coefficient of the pumped-storage power station in 2019 all year round is 76.7%. The double Y-axis diagram of fig. 5 is an effect diagram of the capacity efficiency index, the left Y-axis is the number of hours of use of the pumped-storage power station, the right Y-axis is the overall efficiency coefficient, and the label on each column is the capacity utilization rate.
As shown in fig. 6, the standard coal, carbon dioxide, sulfur dioxide and nitrogen oxides reduced by the pumping unit in 2019 all year round are 61406 tons, 160880 tons, 1105.32 tons and 749.15 tons respectively, and the environmental benefit of combined operation is obvious.
Fig. 7 is a schematic structural diagram of a performance analysis apparatus of a power station according to an embodiment of the present application. The performance analysis means of the plant may be used for the grid control means 21 in fig. 1; as shown in fig. 7, the performance analysis apparatus of the power station may include:
a receiving unit 71, configured to receive a first instruction, where the first instruction is used to instruct to analyze performance of the pumped-storage power station;
the obtaining unit 72 is configured to obtain source data of the pumped storage power station in a set time period according to the first instruction;
a first determining unit 73, configured to determine, according to the source data, evaluation values of at least two plant performance evaluation indicators of the pumped-storage power plant;
a second determining unit 74 for determining the performance level of the pumped-storage power plant on the basis of the evaluation value.
Further, based on the above device, the at least two power station performance evaluation indexes include any two or more of the following:
pumping a power generation amount index;
energy consumption index;
peak clipping and valley filling indexes;
a capacity efficiency index;
environmental benefit index.
Further, based on the above device, the at least two performance evaluation indicators include an energy consumption indicator;
the first determining unit 73 is specifically configured to:
determining a first evaluation value of the energy consumption index of the pumped storage power station according to the source data;
wherein the first evaluation value includes a first utilization rate and/or a second utilization rate, the first utilization rate is a plant utilization rate of the pumped-storage power plant in a wind curtailment period, and the second utilization rate is a plant utilization rate of the pumped-storage power plant in a light curtailment period.
Further, based on the above device, the at least two performance evaluation indexes include a peak clipping and valley filling index;
the first determining unit 73 is specifically configured to:
determining a second evaluation value of the peak clipping and valley filling indexes of the pumped storage power station according to the source data;
wherein the second evaluation value includes at least one or more of:
the first electric quantity is used for representing the internet electric quantity of the pumped storage power station after the electricity consumption of the pumped storage power station is removed in the set time period;
the second electric quantity is used for representing grid-connected receiving electric quantity of the pumped storage power station after the self electric quantity is removed in the set time period;
the peak clipping and valley filling output coefficient is used for representing the absolute value of the daily output curve of the pumped storage power station and the daily load curve of the power grid system;
the peak regulation contribution rate is used for representing the contribution degree of the pumped storage power station to the peak regulation of the power grid system after the pumped storage power station is put into operation;
and the valley filling contribution rate is used for representing the contribution degree of the pumped storage power station to the valley filling of the power grid system after the pumped storage power station is put into operation.
Further, based on the above device, the at least two performance evaluation indicators include a capacity efficiency indicator;
the first determining unit 73 is specifically configured to:
determining a third estimate of the capacity efficiency indicator of the pumped-storage power plant from the source data, the third estimate comprising at least one or more of:
hours of use;
capacity utilization rate;
and (4) integrating the efficiency coefficient.
Further, based on the above device, the at least two performance evaluation indicators include an environmental benefit indicator;
the first determining unit 73 is specifically configured to:
determining a fourth evaluation value of the pumped-storage power station under the environmental benefit index according to the source data, wherein the fourth evaluation value at least comprises one or more of the following items:
a first emission quantity, wherein the first emission quantity is used for representing the reduction of the emission quantity of the carbon dioxide of the pumped storage power station;
a second emission amount, wherein the second emission amount is used for representing the reduction of the emission amount of the sulfur dioxide of the pumped storage power station;
and the second emission is used for representing that the pumped storage power station reduces the emission of nitrogen oxides for the pumped storage power station.
Further, based on the above device, the performance analysis device of the power station may further include:
and the output unit is used for outputting the evaluation value and/or the performance grade of the pumped storage power station.
It should be noted that the division of the unit in the embodiment of the present application is schematic, and is only a logic function division, and there may be another division manner in actual implementation. In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented as a software functional unit and sold or used as a stand-alone product, may be stored in a processor readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, a network device, or the like) or a processor (processor) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
It should be noted that the apparatus provided in the embodiment of the present application can implement all the method steps implemented by the method embodiment and achieve the same technical effect, and detailed descriptions of the same parts and beneficial effects as the method embodiment in this embodiment are omitted here.
Fig. 8 illustrates a schematic structural diagram of an electronic device, which may include, as shown in fig. 8: a processor (processor)810, a communication Interface 820, a memory 830 and a communication bus 840, wherein the processor 810, the communication Interface 820 and the memory 830 communicate with each other via the communication bus 840. The processor 810 may call logic instructions in the memory 830 to perform the following method:
receiving a first instruction, wherein the first instruction is used for indicating the performance of the pumped storage power station to be analyzed;
acquiring source data of the pumped storage power station in a set time period according to the first instruction;
determining evaluation values of at least two power station performance evaluation indexes of the pumped storage power station according to the source data;
and if the evaluation value meets the set performance grade condition, determining the performance grade of the pumped storage power station as the performance grade corresponding to the set performance grade condition.
In addition, the logic instructions in the memory 830 may be implemented in software functional units and stored in a computer readable storage medium when the logic instructions are sold or used as independent products. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
On the other hand, an embodiment of the present application further provides a processor-readable storage medium, where the processor-readable storage medium stores a computer program, where the computer program is configured to cause the processor to execute the method provided in each of the above embodiments, and the method includes:
receiving a first instruction, wherein the first instruction is used for indicating the performance of the pumped storage power station to be analyzed;
acquiring source data of the pumped storage power station in a set time period according to the first instruction;
determining evaluation values of at least two power station performance evaluation indexes of the pumped storage power station according to the source data;
and if the evaluation value meets the set performance grade condition, determining the performance grade of the pumped storage power station as the performance grade corresponding to the set performance grade condition.
The processor-readable storage medium can be any available medium or data storage device that can be accessed by a processor, including, but not limited to, magnetic memory (e.g., floppy disks, hard disks, magnetic tape, magneto-optical disks (MOs), etc.), optical memory (e.g., CDs, DVDs, BDs, HVDs, etc.), and semiconductor memory (e.g., ROMs, EPROMs, EEPROMs, non-volatile memory (NAND FLASH), Solid State Disks (SSDs)), etc.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer-executable instructions. These computer-executable instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These processor-executable instructions may also be stored in a processor-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the processor-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These processor-executable instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present application without departing from the spirit and scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is intended to include such modifications and variations as well.
Claims (10)
1. A method of analyzing the performance of a power station, comprising:
receiving a first instruction, wherein the first instruction is used for indicating the performance of the pumped storage power station to be analyzed;
acquiring source data of the pumped storage power station in a set time period according to the first instruction;
determining evaluation values of at least two power station performance evaluation indexes of the pumped storage power station according to the source data;
and if the evaluation value meets the set performance grade condition, determining the performance grade of the pumped storage power station as the performance grade corresponding to the set performance grade condition.
2. The method of analyzing performance of a power plant of claim 1 wherein the at least two power plant performance assessment indicators comprise any two or more of:
pumping a power generation amount index;
energy consumption index;
peak clipping and valley filling indexes;
a capacity efficiency index;
environmental benefit index.
3. The method for performance analysis of a power plant of claim 1 or 2, characterized in that said at least two performance evaluation indicators comprise an energy consumption indicator;
the determining an assessment value of at least two plant performance assessment indicators of the pumped-storage power plant based on the source data comprises:
determining a first evaluation value of the energy consumption index of the pumped storage power station according to the source data;
wherein the first evaluation value includes a first utilization rate and/or a second utilization rate, the first utilization rate is a plant utilization rate of the pumped-storage power plant in a wind curtailment period, and the second utilization rate is a plant utilization rate of the pumped-storage power plant in a light curtailment period.
4. The method of analyzing performance of a power plant of claim 1 or 2, characterized in that the at least two performance evaluation indicators comprise a peak clipping and valley filling indicator;
the determining an assessment value of at least two plant performance assessment indicators of the pumped-storage power plant based on the source data comprises:
determining a second evaluation value of the peak clipping and valley filling indexes of the pumped storage power station according to the source data;
wherein the second evaluation value includes at least one or more of:
the first electric quantity is used for representing the internet electric quantity of the pumped storage power station after the electricity consumption of the pumped storage power station is removed in the set time period;
the second electric quantity is used for representing grid-connected receiving electric quantity of the pumped storage power station after the self electric quantity is removed in the set time period;
the peak clipping and valley filling output coefficient is used for representing the absolute value of the daily output curve of the pumped storage power station and the daily load curve of the power grid system;
the peak regulation contribution rate is used for representing the contribution degree of the pumped storage power station to the peak regulation of the power grid system after the pumped storage power station is put into operation;
and the valley filling contribution rate is used for representing the contribution degree of the pumped storage power station to the valley filling of the power grid system after the pumped storage power station is put into operation.
5. The method for performance analysis of a power plant of claim 1 or 2, characterized in that said at least two performance evaluation indicators comprise a capacity efficiency indicator;
the determining an assessment value of at least two plant performance assessment indicators of the pumped-storage power plant based on the source data comprises:
determining a third estimate of the capacity efficiency indicator of the pumped-storage power plant from the source data, the third estimate comprising at least one or more of:
hours of use;
capacity utilization rate;
and (4) integrating the efficiency coefficient.
6. The method for performance analysis of a power plant of claim 1 or 2, characterized in that said at least two performance evaluation indicators comprise an environmental benefit indicator;
the determining an assessment value of at least two plant performance assessment indicators of the pumped-storage power plant based on the source data comprises:
determining a fourth evaluation value of the pumped-storage power station under the environmental benefit index according to the source data, wherein the fourth evaluation value at least comprises one or more of the following items:
a first emission quantity, wherein the first emission quantity is used for representing the reduction of the emission quantity of the carbon dioxide of the pumped storage power station;
a second emission amount, wherein the second emission amount is used for representing the reduction of the emission amount of the sulfur dioxide of the pumped storage power station;
and the second emission is used for representing that the pumped storage power station reduces the emission of nitrogen oxides for the pumped storage power station.
7. The method for performance analysis of a power plant of claim 1 or 2, characterized in that it further comprises:
and outputting the evaluation value and/or the performance grade of the pumped-storage power station.
8. A performance analysis apparatus for a power station, comprising:
the system comprises a receiving unit, a judging unit and a control unit, wherein the receiving unit is used for receiving a first instruction, and the first instruction is used for indicating the performance analysis of the pumped storage power station;
the acquisition unit is used for acquiring source data of the pumped storage power station in a set time period according to the first instruction;
the first determination unit is used for determining the evaluation values of at least two power station performance evaluation indexes of the pumped storage power station according to the source data;
and the second determining unit is used for determining the performance grade of the pumped storage power station according to the evaluation value.
9. An electronic device, comprising a memory, a processor:
a memory for storing a computer program; a processor for reading the computer program in the memory and performing the method of any of claims 1 to 7.
10. A processor-readable storage medium, characterized in that the processor-readable storage medium stores a computer program for causing a processor to perform the method of any one of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110843548.2A CN113592281A (en) | 2021-07-26 | 2021-07-26 | Power station performance analysis method, device, equipment and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110843548.2A CN113592281A (en) | 2021-07-26 | 2021-07-26 | Power station performance analysis method, device, equipment and storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113592281A true CN113592281A (en) | 2021-11-02 |
Family
ID=78249924
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110843548.2A Pending CN113592281A (en) | 2021-07-26 | 2021-07-26 | Power station performance analysis method, device, equipment and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113592281A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116169791A (en) * | 2023-03-12 | 2023-05-26 | 华北电力大学 | Power grid operation safety detection system containing pumped storage power station |
| CN117970009A (en) * | 2024-03-28 | 2024-05-03 | 北京煜邦电力技术股份有限公司 | Electric power acquisition terminal and electric energy meter of valley filling circuit |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20160258361A1 (en) * | 2015-03-03 | 2016-09-08 | General Electric Company | Methods and systems for enhancing control of power plant generating units |
| CN107910883A (en) * | 2017-12-01 | 2018-04-13 | 中国南方电网有限责任公司电网技术研究中心 | The random production analog method of sequential load curve is corrected based on hydroenergy storage station |
| CN112541673A (en) * | 2020-12-08 | 2021-03-23 | 国家电网有限公司 | Method and device for evaluating performance of transition process of pumped storage power station |
| CN112612819A (en) * | 2020-12-01 | 2021-04-06 | 南京南瑞信息通信科技有限公司 | Big data analysis and mining method and system for pumped storage power station |
-
2021
- 2021-07-26 CN CN202110843548.2A patent/CN113592281A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20160258361A1 (en) * | 2015-03-03 | 2016-09-08 | General Electric Company | Methods and systems for enhancing control of power plant generating units |
| CN107910883A (en) * | 2017-12-01 | 2018-04-13 | 中国南方电网有限责任公司电网技术研究中心 | The random production analog method of sequential load curve is corrected based on hydroenergy storage station |
| CN112612819A (en) * | 2020-12-01 | 2021-04-06 | 南京南瑞信息通信科技有限公司 | Big data analysis and mining method and system for pumped storage power station |
| CN112541673A (en) * | 2020-12-08 | 2021-03-23 | 国家电网有限公司 | Method and device for evaluating performance of transition process of pumped storage power station |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116169791A (en) * | 2023-03-12 | 2023-05-26 | 华北电力大学 | Power grid operation safety detection system containing pumped storage power station |
| CN116169791B (en) * | 2023-03-12 | 2024-02-06 | 华北电力大学 | Power grid operation safety detection system containing pumped storage power station |
| CN117970009A (en) * | 2024-03-28 | 2024-05-03 | 北京煜邦电力技术股份有限公司 | Electric power acquisition terminal and electric energy meter of valley filling circuit |
| CN117970009B (en) * | 2024-03-28 | 2024-05-28 | 北京煜邦电力技术股份有限公司 | Electric power acquisition terminal and electric energy meter of valley filling circuit |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105006844B (en) | Electric power system day-ahead robust scheduling system under intermittent power generation grid-connected condition | |
| CN112467807B (en) | Day-ahead optimal scheduling method and system for multi-energy power system | |
| CN109038625B (en) | Method for calculating capacity benefits of pumped storage power station of multi-type power supply system | |
| CN110599363A (en) | Power system reliability assessment method considering optimized scheduling of cascade hydropower station | |
| CN113592281A (en) | Power station performance analysis method, device, equipment and storage medium | |
| CN109472401B (en) | Method, device, equipment and storage medium for determining distributed energy supply operation strategy | |
| Billinton | Impacts of energy storage on power system reliability performance | |
| CN110929428B (en) | Method and system for determining power generation capacity adequacy of power system | |
| CN103855718A (en) | Scheduling method for pumped storage power station to participate in electric power system with wind power | |
| CN116780646A (en) | Power system resource optimization scheduling method considering flexibility and terminal | |
| CN113659620A (en) | Water-wind complementary power generation system day-ahead scheduling method based on dynamic frequency constraint | |
| CN113162022A (en) | Power configuration method and device for photovoltaic hydrogen generation station | |
| CN115189420A (en) | Power grid dispatching operation optimization method and system considering uncertainty of supply and demand sides | |
| Monterrat et al. | Integration Cost of Variable Renewable Resources to Power Systems–A Techno-economic Assessment in European Countries | |
| CN112564160B (en) | Wind power uncertainty-based random configuration method for energy storage system, terminal and storage medium | |
| CN103714400A (en) | Wind energy prediction system and method with parameters capable of being input at will | |
| CN112491080A (en) | New energy installation layout planning method and system | |
| CN110578317B (en) | Hydrological model reservoir discharge capacity simulation method | |
| CN114884101B (en) | Pumped storage dispatching method based on self-adaptive model control prediction | |
| CN113824152B (en) | Variable speed pumping and accumulating cooperative wind-light power generation peak regulation scheduling method considering water head sensitivity | |
| CN114254946A (en) | New energy power generation equivalent annual cost comparison method, system, equipment and storage medium | |
| CN113659566A (en) | Capacity allocation optimization method of multi-energy complementary power generation system based on CVaR | |
| Liu et al. | Tired of continuous time-series analysis or calculations? | |
| CN110912117B (en) | Power balance calculation method and device | |
| Amleh et al. | Reliability assessment of standalone wind-based energy storage system using Monte Carlo simulation |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |