CN116822954A - Evaluation method and device for power generation project, electronic equipment and storage medium - Google Patents
Evaluation method and device for power generation project, electronic equipment and storage medium Download PDFInfo
- Publication number
- CN116822954A CN116822954A CN202310790267.4A CN202310790267A CN116822954A CN 116822954 A CN116822954 A CN 116822954A CN 202310790267 A CN202310790267 A CN 202310790267A CN 116822954 A CN116822954 A CN 116822954A
- Authority
- CN
- China
- Prior art keywords
- power generation
- index
- project
- generation project
- obtaining
- 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
- 238000010248 power generation Methods 0.000 title claims abstract description 600
- 238000011156 evaluation Methods 0.000 title claims abstract description 53
- 238000000034 method Methods 0.000 claims abstract description 53
- 230000002159 abnormal effect Effects 0.000 claims abstract description 41
- 230000009467 reduction Effects 0.000 claims description 60
- 239000011159 matrix material Substances 0.000 claims description 19
- 238000004590 computer program Methods 0.000 claims description 11
- 238000006243 chemical reaction Methods 0.000 claims description 8
- 238000011109 contamination Methods 0.000 claims description 7
- 238000005516 engineering process Methods 0.000 abstract description 4
- 230000002596 correlated effect Effects 0.000 description 32
- 238000004519 manufacturing process Methods 0.000 description 20
- 230000005611 electricity Effects 0.000 description 11
- 238000012937 correction Methods 0.000 description 10
- 238000010586 diagram Methods 0.000 description 4
- 238000013507 mapping Methods 0.000 description 4
- 230000003287 optical effect Effects 0.000 description 4
- 238000012545 processing Methods 0.000 description 3
- 230000006978 adaptation Effects 0.000 description 2
- 238000003491 array Methods 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 230000002093 peripheral effect Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000012512 characterization method Methods 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 238000005286 illumination Methods 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000008569 process Effects 0.000 description 1
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
- G06Q10/0635—Risk analysis of enterprise or organisation activities
-
- 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)
- Entrepreneurship & Innovation (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Marketing (AREA)
- General Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Tourism & Hospitality (AREA)
- Educational Administration (AREA)
- Quality & Reliability (AREA)
- Operations Research (AREA)
- Game Theory and Decision Science (AREA)
- Development Economics (AREA)
- Public Health (AREA)
- Water Supply & Treatment (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The disclosure relates to an evaluation method, an evaluation device, electronic equipment and a storage medium for a power generation project, and belongs to the technical fields of financial science and technology, information technology industry, new energy and project evaluation. The method comprises the following steps: obtaining a first index of the power generation project based on an influence factor set of the power generation project, wherein the influence factor set influences the power generation capacity; obtaining a second index of the power generation project based on the power generation parameters of the power generation project under the abnormal working condition; based on the first index and the second index, obtaining a total index of the power generation project; based on the total index, the power generation project is evaluated. Therefore, the influence factor set of the power generation project influencing the power generation amount can be considered to obtain a first index, and the power generation parameter of the power generation project under the abnormal working condition is considered to obtain a second index, so that the total index is obtained, the evaluation index system of the power generation project is more comprehensive, the evaluation precision of the power generation project is improved, and the method is suitable for a risk evaluation scene of the photovoltaic power generation project.
Description
Technical Field
The present disclosure relates to the technical field of financial science and technology, information technology industry, new energy and project evaluation, and in particular, to a method, an apparatus, an electronic device, a computer readable storage medium and a computer program product for evaluating a power generation project.
Background
At present, before the power generation project is put into operation, the power generation project is often required to be evaluated, whether the power generation project is put into operation is determined according to an evaluation result, the power generation project can be evaluated during the operation of the power generation project, and the power generation project is timely adjusted according to the evaluation result. However, the evaluation method of the power generation project in the related art has a problem of low evaluation accuracy.
Disclosure of Invention
The present disclosure provides a method, an apparatus, an electronic device, a computer-readable storage medium, and a computer program product for evaluating a power generation item, to at least solve the problem of low evaluation accuracy in the method for evaluating a power generation item in the related art. The technical scheme of the present disclosure is as follows:
according to a first aspect of embodiments of the present disclosure, there is provided a method for evaluating a power generation project, including: obtaining a first index of a power generation project based on an influence factor set of the power generation project, wherein the influence factor set influences the power generation capacity; obtaining a second index of the power generation project based on the power generation parameters of the power generation project under the abnormal working condition; obtaining a total index of the power generation project based on the first index and the second index; and evaluating the power generation project based on the total index.
In one embodiment of the present disclosure, obtaining a total index of the power generation item based on the first index and the second index includes: obtaining a third index of the power generation project based on the power generation parameters of the power generation project; obtaining a fourth index of the power generation project based on the operation period parameter of the power generation project; and obtaining the total index based on the first index, the second index, the third index and the fourth index.
In one embodiment of the present disclosure, the power generation parameters of the power generation project include an actual ac power generation amount and an ideal state dc power generation amount of the power generation project, and the obtaining the third index of the power generation project based on the power generation parameters of the power generation project includes: obtaining performance parameters of the power generation project based on the ratio of the actual alternating current power generation amount to the ideal direct current power generation amount; and obtaining the third index based on the performance parameter.
In one embodiment of the present disclosure, the obtaining the first index of the power generation project based on the set of influence factors of the power generation project that influence the power generation capacity includes: based on the influence factor set, obtaining a comprehensive efficiency coefficient of the power generation project; and obtaining the first index based on the comprehensive efficiency coefficient.
In one embodiment of the disclosure, the obtaining the first index based on the comprehensive efficiency coefficient includes: acquiring theoretical power generation capacity of the power generation project; obtaining the internet power generation amount of the power generation project based on the theoretical power generation amount and the comprehensive efficiency coefficient; and obtaining the first index based on the Internet power generation amount.
In one embodiment of the disclosure, the power generation parameter of the power generation project under the abnormal condition includes a power generation reduction amount of the power generation project under the abnormal condition, and the obtaining the second index of the power generation project based on the power generation parameter of the power generation project under the abnormal condition includes: acquiring the actual alternating current power generation capacity of the power generation project; obtaining a power generation reduction rate of the power generation project based on the actual alternating current power generation amount and the power generation reduction amount; and obtaining the second index based on the power generation reduction rate.
In one embodiment of the disclosure, the power generation project includes a photovoltaic matrix, and the set of influence factors includes at least one parameter of a category parameter of a photovoltaic component in the photovoltaic matrix, a surface contamination parameter of the photovoltaic component, a conversion efficiency parameter of the photovoltaic component, an angle parameter of the photovoltaic matrix, and a light utilization rate.
According to a second aspect of the embodiments of the present disclosure, there is provided an evaluation device of a power generation project, including: a first acquisition module configured to obtain a first index of a power generation project based on an influence factor set of an influence power generation amount of the power generation project; the second acquisition module is configured to obtain a second index of the power generation project based on the power generation parameters of the power generation project under the abnormal working condition; a third acquisition module configured to obtain a total index of the power generation item based on the first index and the second index; an evaluation module configured to evaluate the power generation project based on the total index.
In one embodiment of the present disclosure, the third acquisition module is further configured to: obtaining a third index of the power generation project based on the power generation parameters of the power generation project; obtaining a fourth index of the power generation project based on the operation period parameter of the power generation project; and obtaining the total index based on the first index, the second index, the third index and the fourth index.
In one embodiment of the present disclosure, the power generation parameters of the power generation project include an actual ac power generation amount and an ideal state dc power generation amount of the power generation project, and the third obtaining module is further configured to: obtaining performance parameters of the power generation project based on the ratio of the actual alternating current power generation amount to the ideal direct current power generation amount; and obtaining the third index based on the performance parameter.
In one embodiment of the disclosure, the first acquisition module is further configured to: based on the influence factor set, obtaining a comprehensive efficiency coefficient of the power generation project; and obtaining the first index based on the comprehensive efficiency coefficient.
In one embodiment of the disclosure, the first acquisition module is further configured to: acquiring theoretical power generation capacity of the power generation project; obtaining the internet power generation amount of the power generation project based on the theoretical power generation amount and the comprehensive efficiency coefficient; and obtaining the first index based on the Internet power generation amount.
In one embodiment of the disclosure, the power generation parameter of the power generation project under the abnormal condition includes a power generation reduction amount of the power generation project under the abnormal condition, and the second obtaining module is further configured to: acquiring the actual alternating current power generation capacity of the power generation project; obtaining a power generation reduction rate of the power generation project based on the actual alternating current power generation amount and the power generation reduction amount; and obtaining the second index based on the power generation reduction rate.
In one embodiment of the disclosure, the power generation project includes a photovoltaic matrix, and the set of influence factors includes at least one parameter of a category parameter of a photovoltaic component in the photovoltaic matrix, a surface contamination parameter of the photovoltaic component, a conversion efficiency parameter of the photovoltaic component, an angle parameter of the photovoltaic matrix, and a light utilization rate.
According to a third aspect of embodiments of the present disclosure, there is provided an electronic device, comprising: a processor; a memory for storing the processor-executable instructions; wherein the processor is configured to execute the instructions to implement the method of evaluating a power generation project as described in the previous first aspect.
According to a fourth aspect of embodiments of the present disclosure, there is provided a computer readable storage medium, which when executed by a processor of an electronic device, causes the electronic device to perform the method of evaluating a power generation item as described in the previous first aspect.
According to a fifth aspect of embodiments of the present disclosure, there is provided a computer program product comprising a computer program which, when executed by a processor, implements the method of evaluating a power generation project as described in the previous first aspect.
The technical scheme provided by the embodiment of the disclosure at least brings the following beneficial effects: the method has the advantages that the influence factor set of the power generation project, which influences the generated energy, can be considered, the first index is obtained, the power generation parameter of the power generation project under the abnormal working condition is considered, the second index is obtained, the total index is obtained, the evaluation index system of the power generation project is more comprehensive, the evaluation precision of the power generation project is improved, and the method is suitable for risk evaluation scenes of the photovoltaic power generation project.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the disclosure and together with the description, serve to explain the principles of the disclosure and do not constitute an undue limitation on the disclosure.
Fig. 1 is a flow chart of a method of evaluating a power generation project according to a first embodiment of the present disclosure.
Fig. 2 is a flow chart of a method of evaluating a power generation project according to a second embodiment of the present disclosure.
Fig. 3 is a flow chart of a method of evaluating a power generation project according to a third embodiment of the present disclosure.
Fig. 4 is a block diagram of an evaluation device of a power generation project according to a first embodiment of the present disclosure.
Fig. 5 is a block diagram of an electronic device, according to an example embodiment.
Detailed Description
In order to enable those skilled in the art to better understand the technical solutions of the present disclosure, the technical solutions of the embodiments of the present disclosure will be clearly and completely described below with reference to the accompanying drawings.
It should be noted that the terms "first," "second," and the like in the description and claims of the present disclosure and in the foregoing figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the disclosure described herein may be capable of operation in sequences other than those illustrated or described herein. The implementations described in the following exemplary examples are not representative of all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with some aspects of the present disclosure as detailed in the accompanying claims.
The data acquisition, storage, use, processing and the like in the technical scheme of the present disclosure all conform to the relevant regulations of the national laws and regulations.
Fig. 1 is a flow chart of a method of evaluating a power generation project according to a first embodiment of the present disclosure.
As shown in fig. 1, the evaluation method of the power generation project of the first embodiment of the present disclosure includes the steps of:
s101, obtaining a first index of the power generation project based on an influence factor set of the power generation project, wherein the influence factor set influences the power generation capacity.
The main body of execution of the evaluation method of the power generation project of the present disclosure is an electronic device. The method for evaluating a power generation item of the embodiment of the present disclosure may be performed by the apparatus for evaluating a power generation item of the embodiment of the present disclosure, and the apparatus for evaluating a power generation item of the embodiment of the present disclosure may be configured in any electronic device to perform the method for evaluating a power generation item of the embodiment of the present disclosure.
The power generation project is not limited to a large extent, and may include, for example, a photovoltaic power generation project, a wind power generation project, a hydroelectric power generation project, a nuclear power generation project, and the like.
It should be noted that, the influence factor set includes a plurality of influence factors, where the influence factors refer to parameters capable of influencing the power generation amount of the power generation project, and the influence factor set is not excessively limited, for example, may include efficiency, loss (such as serial-parallel loss, temperature rise loss, line loss, light reflection loss, etc.), error (such as measurement error), fault parameters, operation maintenance parameters, etc. of each component in the power generation project, and may further include new energy availability (such as availability of a photovoltaic power generation system) of the power generation project. The components may include photovoltaic modules, photovoltaic arrays, inverters, collector lines, transformers, and the like, among others.
In some examples, the power generation project includes a photovoltaic array, and the set of influencing factors includes at least one of a category parameter of a photovoltaic component in the photovoltaic array (e.g., a category correction factor of the photovoltaic component), a surface contamination parameter of the photovoltaic component (e.g., a surface contamination correction factor of the photovoltaic component), a conversion efficiency parameter of the photovoltaic component (e.g., a conversion efficiency correction factor of the photovoltaic component), an angle parameter of the photovoltaic array, and a light utilization rate. The angle parameters of the photovoltaic square matrix can comprise inclination angle correction coefficients, azimuth angle correction coefficients and the like of the photovoltaic square matrix.
For example, the power generation project comprises a photovoltaic matrix, and the influence factor set comprises a category correction coefficient of the photovoltaic module, an inclination correction coefficient of the photovoltaic matrix, an azimuth correction coefficient, a photovoltaic power generation system availability, an illumination utilization rate, an inverter efficiency, a collector line loss, a step-up transformer loss, a surface pollution correction coefficient of the photovoltaic module, a conversion efficiency correction coefficient of the photovoltaic module and the like.
It will be appreciated that different power generation projects may correspond to the same set of influencing factors, or to different sets of influencing factors, without undue limitation.
In one embodiment, the method further comprises obtaining a set of influence factors for the power generation project based on a mapping relationship between the power generation project and the set of influence factors. It can be appreciated that the mapping relationship may be pre-established according to the actual situation.
In one embodiment, the method further comprises the steps of splitting the power generation project into sub-projects of a plurality of single-project categories, obtaining an influence factor set of the sub-projects, and combining the influence factor sets of the sub-projects to obtain the influence factor set of the power generation project.
It is understood that the power generation project may be composed of a plurality of sub-projects of a single project category, for example, the power generation project may be composed of a wind power generation sub-project and a photovoltaic power generation sub-project, the power generation project may be split into the wind power generation sub-project and the photovoltaic power generation sub-project, the influence factor set 1 of the wind power generation sub-project and the influence factor set 2 of the photovoltaic power generation sub-project are obtained, and the influence factor sets 1 and 2 are combined to obtain the influence factor set of the power generation project.
In one embodiment, obtaining the first index of the power generation project based on the set of influence factors that influence the power generation capacity of the power generation project includes inputting the set of influence factors into a setting algorithm, and outputting the first index by the setting algorithm.
In one embodiment, a first index of the power generation project is obtained based on an influence factor set of the power generation project, and the method comprises the steps of dividing the influence factor set into a first subset and a second subset, wherein the influence factors in the first subset are positively correlated with the power generation capacity of the power generation project, the influence factors in the second subset are negatively correlated with the power generation capacity of the power generation project, a fifth index is obtained based on the first subset, a sixth index is obtained based on the second subset, and the first index is obtained based on the fifth index and the sixth index.
In some examples, a fifth metric is positively correlated with each influence factor in the first subset, a sixth metric is negatively correlated with each influence factor in the second subset, the first metric is positively correlated with the fifth metric, and the sixth metric is negatively correlated.
In some examples, the method further comprises taking as the fifth index a product of a plurality of influencing factors in the first subset and taking as the sixth index a product of a plurality of influencing factors in the second subset.
In some examples, the method further comprises weighting and summing the plurality of influencing factors in the first subset to obtain a fifth index, and weighting and summing the plurality of influencing factors in the second subset to obtain a sixth index.
S102, obtaining a second index of the power generation project based on the power generation parameters of the power generation project under the abnormal working condition.
It should be noted that, the abnormal working condition is not excessively limited, for example, the abnormal working condition may include power grid electricity limiting, component failure, and the like.
The power generation parameters of the power generation project under the abnormal working condition are not excessively limited, and for example, the power generation parameters can comprise theoretical power generation amount, actual alternating current power generation amount, ideal direct current power generation amount, internet power generation amount, full power generation hours, peak sunshine hours and the like of the power generation project under the abnormal working condition.
In one embodiment, the second index of the power generation project is obtained based on the power generation parameter of the power generation project under the abnormal working condition, and the second index is output by the setting algorithm after inputting the power generation parameter of the power generation project under the abnormal working condition into the setting algorithm.
S103, obtaining the total index of the power generation project based on the first index and the second index.
In one embodiment, the obtaining the total indicator of the power generation project based on the first indicator and the second indicator includes inputting the first indicator and the second indicator into a setting algorithm, and outputting the total indicator by the setting algorithm.
In one embodiment, the total index of the power generation item is obtained based on the first index and the second index, including taking the product of the first index and the second index as the total index.
In one embodiment, the total indicator of the power generation project is obtained based on the first indicator and the second indicator, including weighting and summing the first indicator and the second indicator to obtain the total indicator.
In one embodiment, the total indicator is positively correlated with the first indicator and positively correlated with the second indicator.
And S104, evaluating the power generation project based on the total index.
It should be noted that the dimension for evaluating the power generation project is not limited too much, for example, risk, income, power generation performance and the like of the power generation project may be evaluated.
In one embodiment, the power generation project is evaluated based on the total index, including determining a target section in which the total index is located from a plurality of set sections, and obtaining an evaluation result of the power generation project based on a mapping relationship between the target section and the evaluation result of the power generation project. It may be understood that a plurality of setting intervals may be divided for the total index in advance, and a mapping relationship between each setting interval and the evaluation result of the power generation project may be established, and the target interval may be any setting interval.
In one embodiment, the power generation project is evaluated based on the total index, including identifying whether the total index is greater than or equal to a set threshold, determining that the evaluation result of the power generation project is a first evaluation result if the total index is greater than or equal to the set threshold, and determining that the evaluation result of the power generation project is a second evaluation result if the total index is less than the set threshold.
For example, taking the evaluation dimension as the risk of the power generation project as an example, evaluating the power generation project based on the total index, including identifying whether the total index is greater than or equal to a set threshold, if the total index is greater than or equal to the set threshold, determining the evaluation result of the power generation project as a first risk level, and if the total index is less than the set threshold, determining the evaluation result of the power generation project as a second risk level. Wherein the first risk level is higher for the characterization than the second risk level.
In summary, according to the method for evaluating a power generation project provided by the embodiment of the present disclosure, a first index of the power generation project is obtained based on an influence factor set of an influence power generation amount of the power generation project, a second index of the power generation project is obtained based on a power generation parameter of the power generation project under an abnormal working condition, a total index of the power generation project is obtained based on the first index and the second index, and the power generation project is evaluated based on the total index. Therefore, the influence factor set of the power generation project influencing the power generation amount can be considered to obtain a first index, and the power generation parameter of the power generation project under the abnormal working condition is considered to obtain a second index, so that the total index is obtained, the evaluation index system of the power generation project is more comprehensive, the evaluation precision of the power generation project is improved, and the method is suitable for a risk evaluation scene of the photovoltaic power generation project.
Fig. 2 is a flow chart of a method of evaluating a power generation project according to a second embodiment of the present disclosure.
As shown in fig. 2, the evaluation method of the power generation project of the second embodiment of the present disclosure includes the steps of:
s201, obtaining a first index of the power generation project based on an influence factor set of the power generation project, wherein the influence factor set influences the power generation capacity.
S202, obtaining a second index of the power generation project based on the power generation parameters of the power generation project under the abnormal working condition.
The relevant content of steps S201-S202 can be seen in the above embodiments, and will not be described here again.
S203, obtaining a third index of the power generation project based on the power generation parameters of the power generation project.
The power generation parameters of the power generation project are not limited excessively, and may include, for example, a theoretical power generation amount, an actual ac power generation amount, an ideal state dc power generation amount, an internet power generation amount, a full power generation hour number, a peak sunlight hour number, and the like of the power generation project.
In one embodiment, obtaining the third index of the power generation project based on the power generation parameter of the power generation project includes inputting the power generation parameter of the power generation project into a setting algorithm, and outputting the third index by the setting algorithm.
In one embodiment, the third index of the power generation project is obtained based on the power generation parameter of the power generation project, including obtaining the energy efficiency ratio of the power generation project based on the power generation parameter of the power generation project, and using the energy efficiency ratio of the power generation project as the third index.
In one embodiment, the power generation parameters of the power generation project include an actual ac power generation amount and an ideal state dc power generation amount of the power generation project, and the third index is positively correlated with the actual ac power generation amount and negatively correlated with the ideal state dc power generation amount.
In one embodiment, the power generation parameters of the power generation project include an actual ac power generation amount and an ideal state dc power generation amount of the power generation project, the third index of the power generation project is obtained based on the power generation parameters of the power generation project, the performance parameters of the power generation project are obtained based on the ratio of the actual ac power generation amount to the ideal state dc power generation amount, and the third index is obtained based on the performance parameters to achieve the acquisition of the third index.
The performance parameters may include a performance ratio, a comprehensive power generation efficiency, and the like.
In some examples, the performance parameter is positively correlated with the ratio, and the third indicator is positively correlated with the performance parameter.
In some examples, the performance parameter of the power generation project is obtained based on a ratio of the actual ac power generation amount and the ideal state dc power generation amount, including a ratio of the actual ac power generation amount and the ideal state dc power generation amount as the performance parameter.
In some examples, the third indicator is derived based on the performance parameter, including taking the performance parameter as the third indicator.
S204, obtaining a fourth index of the power generation project based on the operation period parameter of the power generation project.
It should be noted that the operation period parameter is not limited too much, and may include, for example, a total operation period duration, a duration of each stage in the operation period, and the like.
For example, the operation period includes two stages of trial production period and reaching production period, and the operation period parameters may include total operation period duration, trial production period duration, reaching production period duration, proportion of trial production period duration to total operation period duration, proportion of reaching production period duration to total operation period duration, proportion of trial production period duration to reaching production period duration, and the like.
In one embodiment, obtaining the fourth index of the power generation project based on the operation period parameter of the power generation project includes inputting the operation period parameter of the power generation project into a setting algorithm, and outputting the fourth index by the setting algorithm.
In one embodiment, the operation period parameters of the power generation project include an operation period total duration, a trial production period duration and an arrival production period duration, the fourth index is positively correlated with the operation period total duration, and/or the fourth index is positively correlated with the trial production period duration, and/or the fourth index is negatively correlated with the arrival production period duration.
In one embodiment, the operation period parameter of the power generation project includes a proportion of the period of trial production to the total period of operation, a proportion of the period of up production to the total period of operation, a ratio of the period of trial production to the period of up production, the fourth index being positively correlated with the proportion of the period of trial production to the total period of operation, and/or the fourth index being negatively correlated with the proportion of the period of up production to the total period of operation, and/or the fourth index being positively correlated with the ratio of the period of trial production to the period of up production.
In one embodiment, the operation period parameter of the power generation project includes an operation period total duration, and the fourth index of the power generation project is obtained based on the operation period parameter of the power generation project, including taking the operation period total duration as the fourth index.
S205, obtaining the total index based on the first index, the second index, the third index and the fourth index.
In one embodiment, deriving the total indicator based on the first indicator, the second indicator, the third indicator, and the fourth indicator includes inputting the first indicator, the second indicator, the third indicator, and the fourth indicator into a setting algorithm, and outputting the total indicator by the setting algorithm.
In one embodiment, the total indicator is positively correlated with the first indicator, and/or the total indicator is positively correlated with the second indicator, and/or the total indicator is positively correlated with the third indicator, and/or the total indicator is negatively correlated with the fourth indicator.
In one embodiment, the overall index is obtained based on the first index, the second index, the third index, and the fourth index, and further comprising obtaining a seventh index of the power generation project based on the investment parameter of the power generation project, and obtaining the overall index based on the first index, the second index, the third index, the fourth index, and the seventh index.
It should be noted that the investment parameters are not limited too much, and may include, for example, a total investment amount.
In some examples, the total indicator is inversely related to the seventh indicator.
In some examples, the total index is calculated as follows:
R＝L/I/Y*((α+β)/2)
wherein R is the total index, L is the first index, beta is the second index, alpha is the third index, Y is the fourth index, and I is the seventh index.
And S206, evaluating the power generation project based on the total index.
The relevant content of step S206 may be referred to the above embodiments, and will not be described herein.
In summary, according to the method for evaluating a power generation project provided by the embodiment of the disclosure, a third index of the power generation project is obtained based on a power generation parameter of the power generation project, a fourth index of the power generation project is obtained based on an operation period parameter of the power generation project, and a total index is obtained based on the first index, the second index, the third index and the fourth index. Therefore, the third index can be obtained by considering the power generation parameters of the power generation project, the fourth index can be obtained by considering the operation period parameters of the power generation project, so that the total index is obtained, the evaluation index system of the power generation project is more comprehensive, the evaluation precision of the power generation project is improved, and the method is suitable for risk evaluation scenes of the photovoltaic power generation project.
Fig. 3 is a flow chart of a method of evaluating a power generation project according to a third embodiment of the present disclosure.
As shown in fig. 3, the evaluation method of the power generation project of the third embodiment of the present disclosure includes the steps of:
s301, obtaining the comprehensive efficiency coefficient of the power generation project based on the influence factor set.
In one embodiment, obtaining the comprehensive efficiency coefficient of the power generation project based on the set of influence factors includes inputting the set of influence factors into a setting algorithm, and outputting the comprehensive efficiency coefficient by the setting algorithm.
In one embodiment, obtaining the comprehensive efficiency coefficient of the power generation project based on the influence factor set comprises splitting the influence factor set into a first subset and a second subset, wherein the influence factors in the first subset are positively correlated with the power generation amount of the power generation project, the influence factors in the second subset are negatively correlated with the power generation amount of the power generation project, obtaining a fifth index based on the first subset, obtaining a sixth index based on the second subset, and obtaining the comprehensive efficiency coefficient based on the fifth index and the sixth index.
In some examples, a fifth index is positively correlated with each influencing factor in the first subset, a sixth index is negatively correlated with each influencing factor in the second subset, and the integrated efficiency coefficient is positively correlated with the fifth index and negatively correlated with the sixth index.
In some examples, the method further comprises taking as the fifth index a product of a plurality of influencing factors in the first subset and taking as the sixth index a product of a plurality of influencing factors in the second subset.
In some examples, the method further comprises weighting and summing the plurality of influencing factors in the first subset to obtain a fifth index, and weighting and summing the plurality of influencing factors in the second subset to obtain a sixth index.
S302, obtaining a first index based on the comprehensive efficiency coefficient.
In one embodiment, the obtaining the first indicator based on the integrated efficiency coefficient includes inputting the integrated efficiency coefficient into a setting algorithm, and outputting the first indicator by the setting algorithm.
In one embodiment, the first indicator is positively correlated with the integrated efficiency coefficient.
In one embodiment, the obtaining the first index based on the integrated efficiency coefficient includes obtaining a theoretical power generation amount of the power generation project, obtaining an internet power generation amount of the power generation project based on the theoretical power generation amount and the integrated efficiency coefficient, and obtaining the first index based on the internet power generation amount to achieve obtaining of the first index.
It should be noted that the acquisition of the theoretical power generation amount may be achieved by any one of the theoretical power generation amount acquisition methods in the related art, and is not limited thereto. For example, taking a power generation project as an example of a photovoltaic power generation project, the theoretical power generation capacity of the photovoltaic power generation project can be obtained based on the product of the total solar annual irradiation amount of the horizontal plane and the system installation capacity.
In some examples, the online power generation amount is positively correlated with the theoretical power generation amount and the comprehensive efficiency coefficient.
In some examples, the online power generation amount of the power generation project is obtained based on the theoretical power generation amount and the comprehensive efficiency coefficient, including obtaining the online power generation amount of the power generation project based on the product of the theoretical power generation amount and the comprehensive efficiency coefficient. For example, the product of the theoretical power generation amount and the comprehensive efficiency coefficient is used as the internet power generation amount of the power generation project.
In some examples, the first indicator is positively correlated with the amount of power generated on the internet.
In some examples, the first indicator is obtained based on the online power generation amount, including obtaining a comprehensive power price, obtaining an operating profit of the power generation project based on a product of the comprehensive power price and the online power generation amount, and obtaining the first indicator based on the operating profit. For example, the sum of the product of the integrated electricity price and the online electricity generation amount and the rest of the income of the electricity generation project can be used as the operation income, the difference between the operation income and the operation cost can be used as the operation profit, and the operation profit can be used as the first index.
S303, acquiring the actual alternating current power generation amount of the power generation project.
S304, obtaining the power generation reduction rate of the power generation project based on the actual alternating current power generation amount and the power generation reduction amount.
The power generation parameter of the power generation project under the abnormal condition includes a power generation reduction amount of the power generation project under the abnormal condition. For example, the amount of power generation reduction of the power generation project under the power grid electricity limiting condition, the amount of power generation reduction of the power generation project under the component failure condition, and the like may be included.
In one embodiment, obtaining the power generation reduction rate of the power generation project based on the actual ac power generation amount and the power generation reduction amount includes inputting the actual ac power generation amount and the power generation reduction amount into a setting algorithm, and outputting the power generation reduction rate from the setting algorithm.
In one embodiment, obtaining the power generation reduction rate of the power generation project based on the actual ac power generation amount and the power generation reduction amount includes obtaining a first sum value of the actual ac power generation amount and the power generation reduction amount, obtaining a first ratio of the power generation reduction amount and the first sum value, and obtaining the power generation reduction rate based on the first ratio. For example, the first ratio is set as the power generation reduction rate.
In some examples, taking a power generation project as a photovoltaic power generation project as an example, the power generation reduction amount of the power generation project under the power grid electricity limiting working condition is the power grid electricity limiting rejection rate, the power generation reduction rate comprises the power grid electricity limiting rejection rate, the sum value of the actual alternating current power generation amount and the power grid electricity limiting rejection rate can be obtained, and the ratio of the power grid electricity limiting rejection rate to the sum value is taken as the power grid electricity limiting rejection rate.
In some examples, taking a power generation project as a photovoltaic power generation project as an example, the power generation reduction amount of the power generation project under the working condition of component failure is the component failure light-discarding capacity, the power generation reduction rate includes the component failure light-discarding rate, the sum value of the actual alternating current power generation amount and the component failure light-discarding capacity can be obtained, and the ratio of the component failure light-discarding capacity and the sum value is taken as the component failure light-discarding rate.
In one embodiment, the power generation reduction rate of the power generation project is obtained based on the actual ac power generation amount and the power generation reduction amount, including obtaining the power generation reduction rate under any abnormal condition based on the actual ac power generation amount and the power generation reduction amount under any abnormal condition, and obtaining the power generation reduction rate of the power generation project based on the power generation reduction rates under a plurality of abnormal conditions.
In some examples, the power generation reduction rate for the power generation project is derived based on the power generation reduction rates for the plurality of abnormal conditions, including weighting and summing the power generation reduction rates for the plurality of abnormal conditions to derive the power generation reduction rate for the power generation project.
S305, a second index is obtained based on the power generation reduction rate.
In one embodiment, the second index is inversely related to the power generation reduction rate.
In one embodiment, obtaining the second index based on the power generation reduction rate includes inputting a plurality of types of power generation reduction rates of the power generation project into a setting algorithm, and outputting the second index by the setting algorithm.
In one embodiment, the second index is derived based on the rate of reduction of power generation, including deriving the second index based on the operating revenue of the power generation project and the rate of reduction of power generation.
In some examples, the second index is positively correlated with revenue.
In some examples, the second index is derived based on the operating revenue and the power generation reduction rate of the power generation project, including obtaining a second ratio of operating revenue to operating cost, obtaining a third ratio of the second ratio and the power generation reduction rate, and deriving the second index based on the third ratio. For example, the third ratio is used as the second index.
S306, obtaining the total index of the power generation project based on the first index and the second index.
S307, the power generation project is evaluated based on the total index.
The relevant content of steps S306-S307 can be seen in the above embodiments, and will not be described here again.
In summary, according to the method for evaluating a power generation project provided by the embodiment of the disclosure, based on the influence factor set, a comprehensive efficiency coefficient of the power generation project is obtained, based on the comprehensive efficiency coefficient, a first index is obtained to achieve the acquisition of the first index, an actual ac power generation amount of the power generation project is obtained, based on the actual ac power generation amount and the power generation reduction amount, a power generation reduction rate of the power generation project is obtained, and based on the power generation reduction rate, a second index is obtained to achieve the acquisition of the second index.
Fig. 4 is a block diagram of an evaluation device of a power generation project according to a first embodiment of the present disclosure.
As shown in fig. 4, an evaluation apparatus 400 of a power generation project of an embodiment of the present disclosure includes: a first acquisition module 401, a second acquisition module 402, a third acquisition module 403, and an evaluation module 404.
A first obtaining module 401 configured to obtain a first index of a power generation project based on a set of influence factors that influence a power generation amount of the power generation project;
a second obtaining module 402, configured to obtain a second index of the power generation project based on the power generation parameter of the power generation project under the abnormal working condition;
a third obtaining module 403 configured to obtain a total index of the power generation item based on the first index and the second index;
an evaluation module 404 configured to evaluate the power generation project based on the total index.
In one embodiment of the present disclosure, the third obtaining module 403 is further configured to: obtaining a third index of the power generation project based on the power generation parameters of the power generation project; obtaining a fourth index of the power generation project based on the operation period parameter of the power generation project; and obtaining the total index based on the first index, the second index, the third index and the fourth index.
In one embodiment of the present disclosure, the power generation parameters of the power generation project include an actual ac power generation amount and an ideal state dc power generation amount of the power generation project, and the third obtaining module 403 is further configured to: obtaining performance parameters of the power generation project based on the ratio of the actual alternating current power generation amount to the ideal direct current power generation amount; and obtaining the third index based on the performance parameter.
In one embodiment of the present disclosure, the first obtaining module 401 is further configured to: based on the influence factor set, obtaining a comprehensive efficiency coefficient of the power generation project; and obtaining the first index based on the comprehensive efficiency coefficient.
In one embodiment of the present disclosure, the first obtaining module 401 is further configured to: acquiring theoretical power generation capacity of the power generation project; obtaining the internet power generation amount of the power generation project based on the theoretical power generation amount and the comprehensive efficiency coefficient; and obtaining the first index based on the Internet power generation amount.
In one embodiment of the present disclosure, the power generation parameter of the power generation project under the abnormal condition includes a power generation reduction amount of the power generation project under the abnormal condition, and the second obtaining module 402 is further configured to: acquiring the actual alternating current power generation capacity of the power generation project; obtaining a power generation reduction rate of the power generation project based on the actual alternating current power generation amount and the power generation reduction amount; and obtaining the second index based on the power generation reduction rate.
In one embodiment of the disclosure, the power generation project includes a photovoltaic matrix, and the set of influence factors includes at least one parameter of a category parameter of a photovoltaic component in the photovoltaic matrix, a surface contamination parameter of the photovoltaic component, a conversion efficiency parameter of the photovoltaic component, an angle parameter of the photovoltaic matrix, and a light utilization rate.
The specific manner in which the various modules perform the operations in the apparatus of the above embodiments have been described in detail in connection with the embodiments of the method, and will not be described in detail herein.
In summary, the evaluation device for a power generation project provided in the embodiment of the present disclosure obtains a first index of the power generation project based on an influence factor set of an influence power generation amount of the power generation project, obtains a second index of the power generation project based on a power generation parameter of the power generation project under an abnormal working condition, obtains a total index of the power generation project based on the first index and the second index, and evaluates the power generation project based on the total index. Therefore, the influence factor set of the power generation project influencing the power generation amount can be considered to obtain a first index, and the power generation parameter of the power generation project under the abnormal working condition is considered to obtain a second index, so that the total index is obtained, the evaluation index system of the power generation project is more comprehensive, the evaluation precision of the power generation project is improved, and the method is suitable for a risk evaluation scene of the photovoltaic power generation project.
Fig. 5 is a block diagram of an electronic device, according to an example embodiment.
As shown in fig. 5, the electronic device 500 includes:
the system comprises a memory 510 and a processor 520, a bus 530 connecting different components (including the memory 510 and the processor 520), wherein the memory 510 stores a computer program, and the processor 520 executes the program to implement the method for evaluating the power generation project according to the embodiment of the disclosure.
Bus 530 represents one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processor, or a local bus using any of a variety of bus architectures. By way of example, and not limitation, such architectures include Industry Standard Architecture (ISA) bus, micro channel architecture (MAC) bus, enhanced ISA bus, video Electronics Standards Association (VESA) local bus, and Peripheral Component Interconnect (PCI) bus.
Electronic device 500 typically includes many types of electronic device readable media. Such media can be any available media that is accessible by electronic device 500 and includes both volatile and nonvolatile media, removable and non-removable media.
Memory 510 may also include computer system readable media in the form of volatile memory, such as Random Access Memory (RAM) 540 and/or cache memory 550. Electronic device 500 may further include other removable/non-removable, volatile/nonvolatile computer system storage media. By way of example only, storage system 560 may be used to read from or write to a non-removable, non-volatile magnetic media (not shown in FIG. 5, commonly referred to as a "hard disk drive"). Although not shown in fig. 5, a magnetic disk drive for reading from and writing to a removable non-volatile magnetic disk (e.g., a "floppy disk"), and an optical disk drive for reading from or writing to a removable non-volatile optical disk (e.g., a CD-ROM, DVD-ROM, or other optical media) may be provided. In such cases, each drive may be coupled to bus 530 through one or more data media interfaces. Memory 510 may include at least one program product having a set (e.g., at least one) of program modules configured to carry out the functions of the various embodiments of the disclosure.
A program/utility 580 having a set (at least one) of program modules 570 may be stored in, for example, memory 510, such program modules 570 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each or some combination of which may include an implementation of a network environment. Program modules 570 generally perform the functions and/or methods in the embodiments described in this disclosure.
Electronic device 500 may also communicate with one or more external devices 590 (e.g., keyboard, pointing device, display 591, etc.), one or more devices that enable a user to interact with electronic device 500, and/or any devices (e.g., network card, modem, etc.) that enable electronic device 500 to communicate with one or more other computing devices. Such communication may occur through an input/output (I/O) interface 592. Also, electronic device 500 may communicate with one or more networks such as a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the Internet, through network adapter 593. As shown in fig. 5, the network adapter 593 communicates with other modules of the electronic device 500 via the bus 530. It should be appreciated that although not shown, other hardware and/or software modules may be used in connection with electronic device 500, including, but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, data backup storage systems, and the like.
The processor 520 executes various functional applications and data processing by running programs stored in the memory 510.
It should be noted that, the implementation process and the technical principle of the electronic device in this embodiment refer to the foregoing explanation of the method for evaluating the power generation project in the embodiment of the disclosure, and are not repeated herein.
In summary, the electronic device provided by the embodiment of the present disclosure may execute the method for evaluating a power generation project as described above, obtain a first index of the power generation project based on an influence factor set of the power generation project that affects the power generation amount, obtain a second index of the power generation project based on a power generation parameter of the power generation project under an abnormal working condition, obtain a total index of the power generation project based on the first index and the second index, and evaluate the power generation project based on the total index. Therefore, the influence factor set of the power generation project influencing the power generation amount can be considered to obtain a first index, and the power generation parameter of the power generation project under the abnormal working condition is considered to obtain a second index, so that the total index is obtained, the evaluation index system of the power generation project is more comprehensive, the evaluation precision of the power generation project is improved, and the method is suitable for a risk evaluation scene of the photovoltaic power generation project.
To achieve the above embodiments, the present disclosure also proposes a computer-readable storage medium.
Wherein the instructions in the computer-readable storage medium, when executed by the processor of the electronic device, enable the electronic device to perform the method of evaluating a power generation project as described above. Alternatively, the computer readable storage medium may be ROM, random Access Memory (RAM), CD-ROM, magnetic tape, floppy disk, optical data storage device, etc.
To achieve the above embodiments, the present disclosure also provides a computer program product comprising a computer program, characterized in that the computer program, when executed by a processor, implements a method of evaluating a power generation project as described above.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This disclosure is intended to cover any adaptations, uses, or adaptations of the disclosure following the general principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It is to be understood that the present disclosure is not limited to the precise arrangements and instrumentalities shown in the drawings, and that various modifications and changes may be effected without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.
Claims (17)
1. A method of evaluating a power generation project, comprising:
obtaining a first index of a power generation project based on an influence factor set of the power generation project, wherein the influence factor set influences the power generation capacity;
obtaining a second index of the power generation project based on the power generation parameters of the power generation project under the abnormal working condition;
obtaining a total index of the power generation project based on the first index and the second index;
and evaluating the power generation project based on the total index.
2. The method of claim 1, wherein deriving a total indicator of the power generation project based on the first indicator and the second indicator comprises:
obtaining a third index of the power generation project based on the power generation parameters of the power generation project;
obtaining a fourth index of the power generation project based on the operation period parameter of the power generation project;
and obtaining the total index based on the first index, the second index, the third index and the fourth index.
3. The method according to claim 2, wherein the power generation parameters of the power generation project include an actual ac power generation amount and an ideal state dc power generation amount of the power generation project, and the obtaining the third index of the power generation project based on the power generation parameters of the power generation project includes:
obtaining performance parameters of the power generation project based on the ratio of the actual alternating current power generation amount to the ideal direct current power generation amount;
and obtaining the third index based on the performance parameter.
4. The method according to claim 1, wherein the obtaining the first index of the power generation project based on the set of influence factors of the power generation project that influence the power generation amount includes:
based on the influence factor set, obtaining a comprehensive efficiency coefficient of the power generation project;
and obtaining the first index based on the comprehensive efficiency coefficient.
5. The method of claim 4, wherein the deriving the first indicator based on the integrated efficiency coefficient comprises:
acquiring theoretical power generation capacity of the power generation project;
obtaining the internet power generation amount of the power generation project based on the theoretical power generation amount and the comprehensive efficiency coefficient;
And obtaining the first index based on the Internet power generation amount.
6. The method of claim 1, wherein the power generation parameter of the power generation project under the abnormal condition includes a power generation reduction amount of the power generation project under the abnormal condition, and the obtaining the second index of the power generation project based on the power generation parameter of the power generation project under the abnormal condition includes:
acquiring the actual alternating current power generation capacity of the power generation project;
obtaining a power generation reduction rate of the power generation project based on the actual alternating current power generation amount and the power generation reduction amount;
and obtaining the second index based on the power generation reduction rate.
7. The method of any one of claims 1-6, wherein the power generation project comprises a photovoltaic matrix, and the set of influence factors comprises at least one of a category parameter of a photovoltaic component in the photovoltaic matrix, a surface contamination parameter of the photovoltaic component, a conversion efficiency parameter of the photovoltaic component, an angle parameter of the photovoltaic matrix, and a light utilization rate.
8. An evaluation device for an electric power generation project, comprising:
a first acquisition module configured to obtain a first index of a power generation project based on an influence factor set of an influence power generation amount of the power generation project;
The second acquisition module is configured to obtain a second index of the power generation project based on the power generation parameters of the power generation project under the abnormal working condition;
a third acquisition module configured to obtain a total index of the power generation item based on the first index and the second index;
an evaluation module configured to evaluate the power generation project based on the total index.
9. The apparatus of claim 8, wherein the third acquisition module is further configured to:
obtaining a third index of the power generation project based on the power generation parameters of the power generation project;
obtaining a fourth index of the power generation project based on the operation period parameter of the power generation project;
and obtaining the total index based on the first index, the second index, the third index and the fourth index.
10. The apparatus of claim 9, wherein the power generation parameters of the power generation project include an actual ac power generation amount and an ideal state dc power generation amount of the power generation project, the third acquisition module further configured to:
obtaining performance parameters of the power generation project based on the ratio of the actual alternating current power generation amount to the ideal direct current power generation amount;
And obtaining the third index based on the performance parameter.
11. The apparatus of claim 8, wherein the first acquisition module is further configured to:
based on the influence factor set, obtaining a comprehensive efficiency coefficient of the power generation project;
and obtaining the first index based on the comprehensive efficiency coefficient.
12. The apparatus of claim 11, wherein the first acquisition module is further configured to:
acquiring theoretical power generation capacity of the power generation project;
obtaining the internet power generation amount of the power generation project based on the theoretical power generation amount and the comprehensive efficiency coefficient;
and obtaining the first index based on the Internet power generation amount.
13. The apparatus of claim 8, wherein the power generation parameter of the power generation project under the abnormal condition comprises a power generation reduction amount of the power generation project under the abnormal condition, the second acquisition module further configured to:
acquiring the actual alternating current power generation capacity of the power generation project;
obtaining a power generation reduction rate of the power generation project based on the actual alternating current power generation amount and the power generation reduction amount;
and obtaining the second index based on the power generation reduction rate.
14. The apparatus of any one of claims 8-13, wherein the power generation project comprises a photovoltaic matrix, and the set of influencing factors comprises at least one of a category parameter of a photovoltaic component in the photovoltaic matrix, a surface contamination parameter of the photovoltaic component, a conversion efficiency parameter of the photovoltaic component, an angle parameter of the photovoltaic matrix, and a light utilization rate.
15. An electronic device, comprising:
a processor;
a memory for storing the processor-executable instructions;
wherein the processor is configured to execute the instructions to implement the method of evaluating a power generation project of any of claims 1-7.
16. A computer readable storage medium, which when executed by a processor of an electronic device, causes the electronic device to perform the method of evaluating a power generation project of any of claims 1-7.
17. A computer program product comprising a computer program, characterized in that the computer program, when executed by a processor, implements a method of evaluating a power generation project according to any of claims 1-7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310790267.4A CN116822954A (en) | 2023-06-29 | 2023-06-29 | Evaluation method and device for power generation project, electronic equipment and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310790267.4A CN116822954A (en) | 2023-06-29 | 2023-06-29 | Evaluation method and device for power generation project, electronic equipment and storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN116822954A true CN116822954A (en) | 2023-09-29 |
Family
ID=88142573
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310790267.4A Pending CN116822954A (en) | 2023-06-29 | 2023-06-29 | Evaluation method and device for power generation project, electronic equipment and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116822954A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117151031A (en) * | 2023-10-26 | 2023-12-01 | 国网经济技术研究院有限公司 | Design evaluation method and system for parallel busbar of high-power electronic device |
-
2023
- 2023-06-29 CN CN202310790267.4A patent/CN116822954A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117151031A (en) * | 2023-10-26 | 2023-12-01 | 国网经济技术研究院有限公司 | Design evaluation method and system for parallel busbar of high-power electronic device |
| CN117151031B (en) * | 2023-10-26 | 2024-01-30 | 国网经济技术研究院有限公司 | Design evaluation method and system for parallel busbar of high-power electronic device |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108183512B (en) | Reliability assessment method for power system accessed with new energy | |
| Qiu et al. | Resilience-oriented multistage scheduling for power grids considering nonanticipativity under tropical cyclones | |
| Ruz et al. | Overcoming barriers to electrical energy storage: Comparing California and Europe | |
| CN116822954A (en) | Evaluation method and device for power generation project, electronic equipment and storage medium | |
| CN111859812B (en) | Reliability assessment method for offshore wind farm and soft direct grid-connected system under influence of weather | |
| CN112488427A (en) | ARIMA model-based medium-and-long-term photovoltaic available electric quantity prediction method | |
| CN109995094B (en) | Planning method and system for AC/DC hybrid micro-grid | |
| CN113690925B (en) | Energy interaction optimization method and system based on micro-grid | |
| Koldingsnes | Reliability-based Derating approach for Interconnectors | |
| CN113497443A (en) | Benefit analysis method and device for wind-light storage micro-grid in substation | |
| CN117094746A (en) | Virtual power plant optimization method, device, equipment and medium | |
| CN114285073B (en) | Grid-connected photovoltaic inverter performance analysis system | |
| CN116502771A (en) | Power distribution method and system based on electric power material prediction | |
| CN115082385A (en) | Photovoltaic power station defect early warning method and device based on inclination angle of photovoltaic module | |
| Okorie et al. | Assessment of the reliability performance of Shiroro hydro-electric power station, Minna, Niger State | |
| CN111709105A (en) | Current load value calculation method, device, equipment and storage medium | |
| CN114070198B (en) | Fault diagnosis method and device for distributed photovoltaic power generation system and electronic equipment | |
| CN113689033B (en) | Method and device for checking and determining capacity generation price, computer equipment and storage medium | |
| CN114881471B (en) | LCC model-based equipment cost verification method and device | |
| Jahn | Performance, Reliability, and User Experience | |
| CN116205545A (en) | Day-ahead market clearing method and device suitable for high renewable energy permeation | |
| CN110633452A (en) | Method and system for analyzing time sequence matching degree of wind power plant and load | |
| CN116362558A (en) | Power grid construction benefit evaluation method, device, terminal and storage medium | |
| Li et al. | Economic evaluation of offshore wind farm operation and maintenance considering opportunity maintenance | |
| CN116523578A (en) | Electric carbon market node marginal electricity price decomposition method considering dynamic carbon transaction curve |
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 |