CN115912407A - Expected frequency modulation mileage evaluation method and device, electronic equipment and readable storage medium - Google Patents

Expected frequency modulation mileage evaluation method and device, electronic equipment and readable storage medium Download PDF

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CN115912407A
CN115912407A CN202211726602.6A CN202211726602A CN115912407A CN 115912407 A CN115912407 A CN 115912407A CN 202211726602 A CN202211726602 A CN 202211726602A CN 115912407 A CN115912407 A CN 115912407A
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frequency modulation
power generation
capacity
mileage
generation member
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庄晓丹
骆希
赵雯
金骆松
何洁
乔松博
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Zhejiang Electric Power Trade Center Co ltd
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Zhejiang Electric Power Trade Center Co ltd
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    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
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Abstract

The application discloses an expected frequency modulation mileage evaluation method and device, electronic equipment and a readable storage medium, which are applied to the technical field of electric power. The method comprises the steps of obtaining operation parameters and market open parameters of power generation members to be evaluated; determining the frequency modulation capacity of the power generation member to be evaluated according to the operation parameters, the frequency modulation capacity clearing price and the frequency modulation performance of the target power generation member in the market public parameters; constructing a frequency modulation mileage evaluation model according to the historical frequency modulation capacity, the historical frequency modulation performance and the historical frequency modulation mileage of each power generation member; and obtaining the expected frequency modulation mileage of the power generation member to be evaluated based on the frequency modulation mileage evaluation model according to the self frequency modulation performance in the operation parameters and the frequency modulation capacity of the power generation member to be evaluated. The method and the device can effectively improve the accuracy of the evaluation of the expected frequency modulation mileage.

Description

Expected frequency modulation mileage evaluation method and device, electronic equipment and readable storage medium
Technical Field
The present application relates to the field of power technologies, and in particular, to a method and an apparatus for estimating expected frequency modulation mileage, an electronic device, and a readable storage medium.
Background
The frequency modulation mileage refers to the total frequency modulation mileage in a certain period of time, which is the sum of the adjustment mileage of the power Generation unit responding to an AGC (Automatic Generation Control) Control command in the period of time. The frequency modulation mileage is a key index for quantifying the frequency modulation contribution of power generation members in the frequency modulation market, and the income of the power generation members in the frequency modulation market comprises mileage income and capacity income, and can be expressed as follows:
Q g =D g p D +R g p R
in the formula, Q g For the Power Generation Member g, the market revenue of frequency modulation, D g For frequency-modulated mileage, p D For mileage price, R g To frequency-modulated capacity, p R Is the capacity price.
The capacity and the capacity price of the frequency modulation are obtained by bidding in a frequency modulation market, the frequency modulation mileage is obtained by actual response statistics of market members, and the mileage price is used as a market basic parameter and is determined in advance by market trading rules. In the current frequency modulation market trading rule design, the frequency modulation capacity price is far lower than the mileage price, so the frequency modulation mileage income is a main income source for power generation members to participate in the frequency modulation market. Therefore, frequency modulated mileage evaluation is expected to become an important technical requirement for power generation members to participate in frequency modulated market trading.
The expected frequency modulation mileage evaluation refers to an analysis process of evaluating the frequency modulation mileage of a power generation member in a long time in the future, and is an important parameter for evaluating the income of the power generation member in the frequency modulation market so as to support the feasibility verification of the technical transformation of the frequency modulation performance of the market member. With the continuous and deep innovation of the power market, the income of the power frequency modulation market becomes an important income source of power generation enterprises in the power market, and the importance of the expected frequency modulation mileage evaluation is more prominent. The related art expected fm mileage evaluation is based on fm performance index analysis, as shown in fig. 1, which includes two steps: (1) And counting the distribution of the frequency-modulated mileage of the power generation members under different frequency-modulated performances. The implementation purpose of the step is to count the frequency modulation mileage of market members under different frequency modulation performances and analyze the distribution rule of the mileage; (2) And evaluating expected frequency modulation mileage based on frequency modulation performance comparison. The implementation purpose of the step is to evaluate the expected frequency modulation mileage of the market members under the frequency modulation performance interval according to the frequency modulation performance indexes of the market members to be evaluated and by combining the frequency modulation mileage distribution of the market members under the frequency modulation performance interval. Generally, the mode of the frequency modulation mileage of market members in the frequency modulation performance interval is used as an expected frequency modulation mileage evaluation result of the market members to be evaluated. However, the expected frequency modulation mileage evaluation result based on the comparison analysis of the frequency modulation performance cannot accurately reflect the frequency modulation mileage of the power generation member in the future time period.
In view of this, how to improve the accuracy of the estimation of the expected frequency modulation mileage is a technical problem to be solved by those skilled in the art.
Disclosure of Invention
The application provides an expected frequency modulation mileage evaluation method and device, electronic equipment and a readable storage medium, and the accuracy of expected frequency modulation mileage evaluation is effectively improved.
In order to solve the above technical problems, embodiments of the present invention provide the following technical solutions:
the embodiment of the invention provides an expected frequency modulation mileage evaluation method on the one hand, which comprises the following steps:
acquiring operation parameters and market open parameters of a power generation member to be evaluated;
determining the frequency modulation capacity of the power generation member to be evaluated according to the operation parameters, the frequency modulation capacity clearing price and the frequency modulation performance of the target power generation member in the market public parameters;
constructing a frequency modulation mileage evaluation model according to the historical frequency modulation capacity, the historical frequency modulation performance and the historical frequency modulation mileage of each power generation member;
and obtaining the expected frequency modulation mileage of the power generation member to be evaluated based on the frequency modulation mileage evaluation model according to the self frequency modulation performance in the operation parameters and the frequency modulation capacity of the power generation member to be evaluated.
Optionally, the determining, according to the operating parameter and the frequency modulation capacity clearing price and frequency modulation performance of the target power generation member in the market disclosure parameter, the frequency modulation capacity of the power generation member to be evaluated includes:
determining a corresponding relation between the equivalent declared price and the frequency modulation capacity according to the equivalent declared price and the historical average frequency modulation capacity of the target power generation member; the equivalent declaration price is the corresponding clearing price of the frequency modulation capacity;
and determining the frequency modulation capacity of the power generation member to be evaluated according to the expected declared price and the self frequency modulation performance in the operation parameters based on the corresponding relation between the equivalent declared price and the frequency modulation capacity.
Optionally, the determining, according to the equivalent declaration price and the historical average frequency modulation capacity of the target power generation member, a corresponding relationship between the equivalent declaration price and the frequency modulation capacity includes:
calling an equivalent price relational expression, and calculating the average equivalent declaration price of the target power generation member; the equivalent price relation is as follows:
Figure BDA0004030284610000031
calling a historical frequency modulation capacity relational expression, and calculating the historical average frequency modulation capacity of the target power generation member; the historical frequency modulation capacity relational expression is as follows:
Figure BDA0004030284610000032
calculating parameters of a pre-constructed declaration price-frequency modulation capacity relational expression according to the obtained multiple groups of average equivalent declaration prices and multiple groups of historical average frequency modulation capacities of the target power generation members; the declaration price-frequency modulation capacity relational expression is as follows:
Figure BDA0004030284610000033
determining the corresponding relation between the equivalent declared price and the frequency modulation capacity according to the parameters of the declared price-frequency modulation capacity relational expression;
wherein,
Figure BDA0004030284610000034
equivalent declaration price for target generating member g on operating day d, < >>
Figure BDA0004030284610000035
The average equivalent declaration price of the target power generation member g in the statistical period is shown, ND is the number of days in the statistical period, and the number of the hours is greater than or equal to>
Figure BDA0004030284610000036
Clearing price for running day d FM market capacity trading, K g The frequency modulation performance of a target power generation member g; />
Figure BDA0004030284610000037
For the historical average frequency modulation capacity of the target generating member g in the statistical period->
Figure BDA0004030284610000038
The frequency modulation capacity of a target power generation member g on a running day d; a is 1 、b 1 The method is used for reporting parameters of a price-frequency modulation capacity relation.
Optionally, the determining, based on the correspondence between the equivalent declared price and the frequency modulation capacity, the frequency modulation capacity of the power generation member to be evaluated according to the expected declared price and the frequency modulation performance of the power generation member in the operation parameters includes:
calling a frequency modulation capacity relational expression, and calculating the frequency modulation capacity of the power generation member to be evaluated; the frequency modulation capacity relational expression is as follows:
Figure BDA0004030284610000041
in the formula, R S For the frequency modulation capacity of the power generation member to be evaluated, a 1 、b 1 For declaring parameters of a price-FM capacity relation, p S For the expected applicationPrice, K S The self-frequency modulation performance is achieved.
Optionally, the constructing a frequency-modulation mileage evaluation model according to the historical frequency-modulation capacity, the historical frequency-modulation performance, and the historical frequency-modulation mileage of each power generation member includes:
a frequency modulation mileage evaluation model is constructed in advance, and the frequency modulation mileage evaluation model is as follows:
Figure BDA0004030284610000042
calculating each parameter of the frequency modulation mileage evaluation model according to the obtained multiple groups of historical frequency modulation mileage of the target power generation member, and historical average frequency modulation capacity and historical frequency modulation performance corresponding to each group of historical frequency modulation mileage;
in the formula, L g Historical frequency-modulated mileage, K, for a target power generation member g g Historical frequency modulation performance of a target power generation member g;
Figure BDA0004030284610000043
the historical average frequency modulation capacity of a target power generation member g in a statistical period, a 2 、b 2 、c 2 And evaluating the parameters of the model for the frequency-modulated mileage.
Optionally, the obtaining, based on the frequency modulation mileage evaluation model, an expected frequency modulation mileage of the power generation member to be evaluated according to the frequency modulation performance of the power generation member to be evaluated and the frequency modulation capacity of the power generation member to be evaluated includes:
determining an expected frequency modulation mileage calculation relational expression corresponding to the power generation member to be evaluated based on the frequency modulation mileage evaluation model; the expected frequency modulation mileage calculation relation is as follows:
L S =a 2 R S +b 2 K S +c 2
in the formula, L S The expected frequency modulation mileage of the power generation member to be evaluated, the frequency modulation capacity of the power generation member to be evaluated, K S The self-frequency modulation performance is achieved.
Another aspect of the embodiments of the present invention provides an expected frequency modulation mileage evaluation device, including:
the parameter acquisition module is used for acquiring the operation parameters and the market open parameters of the power generation members to be evaluated;
the frequency modulation capacity determining module is used for determining the frequency modulation capacity of the power generation member to be evaluated according to the operation parameters, the frequency modulation capacity clearing price and the frequency modulation performance of the target power generation member in the market public parameters;
the model building module is used for building a frequency modulation mileage evaluation model according to the historical frequency modulation capacity, the historical frequency modulation performance and the historical frequency modulation mileage of each power generation member;
and the frequency modulation mileage pre-estimation module is used for obtaining the expected frequency modulation mileage of the power generation member to be evaluated according to the self frequency modulation performance in the operation parameters and the frequency modulation capacity of the power generation member to be evaluated based on the frequency modulation mileage evaluation model.
Optionally, the fm capacity determination module is further configured to:
determining a corresponding relation between the equivalent declared price and the frequency modulation capacity according to the equivalent declared price and the historical average frequency modulation capacity of the target power generation member; the equivalent declaration price is the corresponding clearing price of the frequency modulation capacity;
and determining the frequency modulation capacity of the power generation member to be evaluated according to the expected declared price and the self frequency modulation performance in the operation parameters based on the corresponding relation between the equivalent declared price and the frequency modulation capacity.
An embodiment of the present invention further provides an electronic device, including a processor, configured to implement the steps of the method for estimating expected frequency-modulated mileage as described in any one of the previous items when executing the computer program stored in the memory.
Finally, an embodiment of the present invention provides a readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the steps of the method for estimating expected frequency-modulated mileage.
The technical scheme provided by the application has the advantages that when the expected frequency modulation mileage is carried out, the relation between the declared price and the frequency modulation capacity is determined through historical data of the frequency modulation market of any power generation member, so that the frequency modulation capacity of the power generation member to be evaluated is determined, influence factors of the frequency modulation capacity and the frequency modulation performance are comprehensively considered, the expected frequency modulation mileage is evaluated, and the accuracy of the expected frequency modulation mileage evaluation is effectively improved.
In addition, the embodiment of the invention also provides a corresponding implementation device, electronic equipment and a readable storage medium for the expected frequency modulation mileage evaluation method, so that the method has higher practicability, and the device, the electronic equipment and the readable storage medium have corresponding advantages.
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 application.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions of the related art, the drawings required to be used in the description of the embodiments or the related art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a schematic flow chart of a method for estimating expected frequency modulation mileage in the related art according to an embodiment of the present invention;
fig. 2 is a schematic flow chart of a method for estimating expected frequency-modulated mileage according to an embodiment of the present invention;
FIG. 3 is a frequency modulated mileage diagram in an exemplary embodiment provided by embodiments of the present invention;
fig. 4 is a block diagram of an embodiment of an expected frequency-modulated mileage evaluation apparatus according to an embodiment of the present invention;
fig. 5 is a structural diagram of an embodiment of an electronic device according to an embodiment of the present invention.
Detailed Description
In order that those skilled in the art will better understand the disclosure, the invention will be described in further detail with reference to the accompanying drawings and specific embodiments. It is to be understood that the described embodiments are merely exemplary of the invention, and not restrictive of the full scope of the invention. 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 invention.
The terms "comprising" and "having," and any variations thereof, in the description and claims of this application and the drawings described above, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements but may include other steps or elements not expressly listed. Various non-limiting embodiments of the present application are described in detail below.
Referring to fig. 2, fig. 2 is a schematic flow chart of a method for estimating expected fm mileage according to an embodiment of the present invention, where the embodiment of the present invention includes the following steps:
s201: and obtaining the operation parameters and the market open parameters of the power generation members to be evaluated.
The operation parameters of the step are some parameters of the power generation members to be evaluated, the operation parameters of the step include but are not limited to self frequency modulation performance and expected declared price, wherein the self frequency modulation performance can be obtained by statistics of historical operation data of the power generation members or by evaluation according to frequency modulation performance test data, and the expected declared price is the frequency modulation capacity market transaction declared price of the power generation members. The market public parameters belong to market public information and can be obtained through information disclosure of a scheduling mechanism, and include but are not limited to the frequency modulation capacity clearing price, the frequency modulation capacity of market members, the frequency modulation performance of market members and the frequency modulation mileage of market members.
S202: and determining the frequency modulation capacity of the power generation member to be evaluated according to the operation parameters, the frequency modulation capacity clearing price and the frequency modulation performance of the target power generation member in the market public parameters.
The frequency modulation mileage is essentially an output adjustment amplitude quantization index generated by the power generation output quick adjustment responding to the power grid frequency modulation requirement in the actual operation of the power generation member. Concept of frequency modulation mileageAs shown in fig. 3, the abscissa represents a frequency modulation control period of the frequency modulation market, typically 10 minutes, and the ordinate represents the generated output in the frequency modulation response of the power generation members. The frequency-modulation mileage difference of 2 power generation members with different frequency-modulation performances and frequency-modulation capacities is compared in the graph, and the power generation member L 1 The frequency modulation performance of the composite material is superior to that of the power generation member L 2 Therefore, the specified power generation output requirement is achieved more quickly in the frequency modulation control period, and the slope of the frequency modulation mileage is larger; and the power generation member L 2 Although the frequency modulation performance is inferior to the power generation member L 1 However, the frequency modulation capacity is larger, and the frequency modulation mileage is actually higher than the power generation member L in the specified frequency modulation control period 1 . It can be seen that the factors determining the difference of frequency modulation mileage of market members include two aspects of frequency modulation capacity and frequency modulation performance. The larger the frequency modulation capacity is, the higher the expected frequency modulation mileage is; the better the frequency modulation performance, the higher the frequency modulation mileage. The step is used for determining the frequency modulation capacity of the power generation member to be evaluated.
Wherein, the target power generation member is any power generation member in the frequency modulation market, and the skilled person can flexibly select the target power generation member according to the actual requirement. The frequency modulation capacity clearing price of the step can be obtained from market public information, and the frequency modulation performance is the self parameter of the target power generation member. In the step, the relation between the frequency modulation performance of any power generation member and the historical frequency modulation capacity clearing price data can be obtained by fitting the frequency modulation performance of the power generation member and the historical frequency modulation capacity clearing price data, and then the frequency modulation capacity of the power generation member to be evaluated can be determined through the self operation parameters of the power generation member to be evaluated.
S203: and constructing a frequency modulation mileage evaluation model according to the historical frequency modulation capacity, the historical frequency modulation performance and the historical frequency modulation mileage of each power generation member.
The relation between the frequency modulation mileage and the frequency modulation capacity and the frequency modulation performance can be obtained through fitting calculation of historical data of different power generation members, and the relation between the frequency modulation mileage and the frequency modulation capacity and the frequency modulation performance of each power generation member can be approximately the same, so that the relation can be used as a basis for predicting the frequency modulation mileage under the condition that the subsequent frequency modulation performance is known.
S204: and obtaining the expected frequency modulation mileage of the power generation member to be evaluated based on the frequency modulation mileage evaluation model according to the self frequency modulation performance in the operation parameters and the frequency modulation capacity of the power generation member to be evaluated.
According to the technical scheme provided by the embodiment of the invention, when the expected frequency modulation mileage is carried out, the relation between the declared price and the frequency modulation capacity is determined through historical data of the frequency modulation market of any power generation member, so that the frequency modulation capacity of the power generation member to be evaluated is determined, influence factors of the frequency modulation capacity and the frequency modulation performance are comprehensively considered, the expected frequency modulation mileage is evaluated, and the accuracy of the expected frequency modulation mileage evaluation is effectively improved.
In the foregoing embodiment, how to execute step S202 is not limited, and an optional implementation manner in this embodiment may include the following:
determining a corresponding relation between the equivalent declared price and the frequency modulation capacity according to the equivalent declared price and the historical average frequency modulation capacity of the target power generation member; the equivalent declaration price is the corresponding clearing price of the frequency modulation capacity;
and determining the frequency modulation capacity of the power generation member to be evaluated according to the expected declared price and the self frequency modulation performance in the operation parameters based on the corresponding relation between the equivalent declared price and the frequency modulation capacity.
In this embodiment, the capacity of the desired frequency modulation for the power generation member is evaluated. The frequency modulation capacity clearing in the current frequency modulation market takes the minimum equivalent declared price as an optimization target, wherein the equivalent declared price is the ratio of the declared price to the frequency modulation performance. The initial purpose of the market trading mode design is to preferentially call power generation members with good frequency modulation performance on the basis of reducing the frequency modulation market trading cost. Because the declared prices of the market members belong to private information, and the current frequency modulation capacity clearing adopts a marginal clearing mode, namely the equivalent declared prices of the winning market members are all lower than the equivalent declared prices calculated from the clearing prices, the reported prices of the generating members can be replaced by the daily frequency modulation capacity clearing prices, and the frequency modulation capacity of the object to be evaluated cannot be amplified. As an optional implementation manner, the calculation according to the corresponding relationship between the equivalent declared price and the frequency modulation capacity can be implemented in the following manner:
calling an equivalent price relational expression, and calculating the average equivalent declaration price of the target power generation member; the equivalent price relationship can be expressed as:
Figure BDA0004030284610000091
calling a historical frequency modulation capacity relational expression, and calculating the historical average frequency modulation capacity of the target power generation member; the historical fm capacity relationship may be expressed as:
Figure BDA0004030284610000092
since the capacity clearance of the frequency modulation market takes the minimum equivalent declared price as an optimization target, the embodiment can adopt a linear function to construct a correlation evaluation model of the frequency modulation capacity and the equivalent declared price, namely, a declared price-frequency modulation capacity relational expression. Then according to the obtained multiple groups of average equivalent declaration prices and multiple groups of historical average frequency modulation capacities of the target power generation members, parameters of a declaration price-frequency modulation capacity relational expression can be obtained through fitting calculation such as a least square method; the declared price-fm capacity relationship may be expressed as:
Figure BDA0004030284610000093
parameter a according to the declared price-modulated capacity relation 1 、b 1 Determining the corresponding relation between the equivalent declaration price and the frequency modulation capacity;
wherein,
Figure BDA0004030284610000101
equivalent declaration price for target generating member g on operating day d, < >>
Figure BDA0004030284610000102
The average equivalent declaration price of the target power generation member g in the statistical period is shown, ND is the number of days in the statistical period, and the number of the hours is greater than or equal to>
Figure BDA0004030284610000103
Clearing price for running day d FM market capacity trading, K g The frequency modulation performance of a target power generation member g; />
Figure BDA0004030284610000104
Historical average frequency modulation capacity for target generation member g over a statistical period, based on a statistical time>
Figure BDA0004030284610000105
The frequency modulation capacity of a target power generation member g on a running day d is set; a is a 1 、b 1 And respectively reporting parameters of a price-frequency modulation capacity relational expression, namely a primary term coefficient and a constant term coefficient of the correlation evaluation model.
After the corresponding relation between the equivalent declaration price and the frequency modulation capacity is determined, the frequency modulation capacity of the power generation member to be evaluated can be calculated by calling a frequency modulation capacity relational expression; the fm capacity relation can be expressed as:
Figure BDA0004030284610000106
in the formula, R S For the frequency-modulated capacity of the power generation member to be evaluated, a 1 、b 1 For declaring parameters of a price-FM capacity relation, p S To anticipate the declared price, K S The self-frequency modulation performance is achieved.
The above embodiment does not limit how to execute S203, and the application also provides an alternative implementation manner of constructing the frequency-modulated mileage evaluation model, which may include the following:
in this embodiment, a frequency modulation mileage evaluation model considering the frequency modulation capacity and the frequency modulation performance may be constructed by using a binary primary linear function, and the frequency modulation mileage evaluation model may be expressed as:
Figure BDA0004030284610000107
according to the obtained multiple groups of historical frequency modulation mileage of the target power generation member and the historical average frequency modulation capacity and the historical frequency modulation performance corresponding to each group of historical frequency modulation mileage, each parameter a of the frequency modulation mileage evaluation model can be calculated through a fitting algorithm such as a least square method 2 、b 2 、c 2
In the formula, L g Historical frequency modulation mileage, K, for target power generation member g g Historical frequency modulation performance of a target power generation member g;
Figure BDA0004030284610000108
historical average frequency modulation capacity of a target power generation member g in a statistical period 2 、b 2 、c 2 Parameters of the frequency modulation mileage evaluation model are respectively a frequency modulation capacity primary term coefficient, a frequency modulation performance primary term coefficient and a constant term coefficient of the evaluation model.
Because the frequency modulation mileage of each power generation member in the frequency modulation market is similar, the expected frequency modulation mileage of the power generation member to be evaluated can be predicted by using a frequency modulation mileage evaluation model obtained based on a large amount of historical data fitting. A determined based on the above embodiment 2 、b 2 、c 2 And replacing the corresponding parameters with the object to be evaluated, namely calculating to obtain the expected frequency modulation mileage of the object to be evaluated, namely the power generation member to be evaluated. Determining an expected frequency modulation mileage calculation relational expression corresponding to the power generation member to be evaluated based on the frequency modulation mileage evaluation model; the expected fm mileage calculation relationship can be expressed as:
L S =a 2 R S +b 2 K S +c 2
in the formula, L S The expected frequency modulation mileage of the power generation member to be evaluated, the frequency modulation capacity of the power generation member to be evaluated, K S The self-frequency modulation performance is achieved.
It should be noted that, in the present application, there is no strict sequential execution order among the steps, and as long as the logical order is met, the steps may be executed simultaneously or according to a certain preset order, and fig. 2 is only an exemplary manner, and does not represent that only the execution order is the order.
The embodiment of the invention also provides a corresponding device for the expected frequency modulation mileage evaluation method, and the device is used for realizing the expected frequency modulation mileage evaluation method provided by the application, so that the method has higher practicability. Wherein the means may be described separately from a functional block point of view and a hardware point of view. The following describes an expected fm mileage evaluation apparatus according to an embodiment of the present invention, and the expected fm mileage evaluation apparatus described below and the expected fm mileage evaluation method described above may be referred to in correspondence with each other.
Referring to fig. 4 based on the angle of the functional module, fig. 4 is a structural diagram of an expected frequency-modulated mileage evaluation apparatus according to an embodiment of the present invention. In this embodiment, the expected fm mileage evaluating apparatus may include or be divided into one or more program modules, which are stored in a storage medium and executed by one or more processors, to complete the expected fm mileage evaluating method disclosed in embodiment one. The program modules referred to herein are a series of computer program instruction segments that can perform certain functions and are more suitable than the program itself for describing the execution of the expected fm mileage evaluating apparatus in a storage medium. The following description will specifically describe the functions of the program modules of the present embodiment:
the parameter obtaining module 401 is configured to obtain an operating parameter and a market disclosure parameter of a power generation member to be evaluated;
a frequency modulation capacity determination module 402, configured to determine the frequency modulation capacity of the power generation member to be evaluated according to the operation parameter, the frequency modulation capacity clearing price and the frequency modulation performance of the target power generation member in the market disclosure parameter;
the model building module 403 is used for building a frequency modulation mileage evaluation model according to the historical frequency modulation capacity, the historical frequency modulation performance and the historical frequency modulation mileage of each power generation member;
and the frequency modulation mileage pre-estimation module 404 is configured to obtain an expected frequency modulation mileage of the power generation member to be evaluated according to the self frequency modulation performance in the operation parameters and the frequency modulation capacity of the power generation member to be evaluated based on the frequency modulation mileage evaluation model.
Optionally, in some embodiments of this embodiment, the fm capacity determining module 402 may be further configured to:
determining a corresponding relation between the equivalent declared price and the frequency modulation capacity according to the equivalent declared price and the historical average frequency modulation capacity of the target power generation member; the equivalent declaration price is the corresponding clearing price of the frequency modulation capacity;
and determining the frequency modulation capacity of the power generation member to be evaluated according to the expected declared price and the self frequency modulation performance in the operation parameters based on the corresponding relation between the equivalent declared price and the frequency modulation capacity.
As an optional implementation manner of the foregoing embodiment, the foregoing fm capacity determining module 402 may further be configured to:
calling an equivalent price relational expression, and calculating the average equivalent declaration price of the target power generation member; the equivalent price relationship is:
Figure BDA0004030284610000121
calling a historical frequency modulation capacity relational expression, and calculating the historical average frequency modulation capacity of the target power generation member; the historical frequency modulation capacity relation is as follows:
Figure BDA0004030284610000122
calculating parameters of a pre-constructed declaration price-frequency modulation capacity relational expression according to the obtained multiple groups of average equivalent declaration prices and multiple groups of historical average frequency modulation capacities of the target power generation members; the declared price-frequency modulation capacity relation is as follows:
Figure BDA0004030284610000131
determining the corresponding relation between the equivalent declared price and the frequency modulation capacity according to the parameters of the declared price-frequency modulation capacity relational expression;
wherein,
Figure BDA0004030284610000132
equivalent declaration price for target generating member g on operating day d, < >>
Figure BDA0004030284610000133
The average equivalent declaration price of the target power generation member g in the statistical period is shown, ND is the number of days in the statistical period, and the number of the hours is greater than or equal to>
Figure BDA0004030284610000134
Clearing price for running day d FM market capacity trading, K g The frequency modulation performance of a target power generation member g; />
Figure BDA0004030284610000135
Historical average frequency modulation capacity for target generation member g over a statistical period, based on a statistical time>
Figure BDA0004030284610000136
The frequency modulation capacity of a target power generation member g on a running day d; a is 1 、b 1 The method is used for reporting parameters of a price-frequency modulation capacity relation.
As another optional implementation manner of the foregoing embodiment, the foregoing fm capacity determining module 402 may further be configured to: calling a frequency modulation capacity relational expression, and calculating the frequency modulation capacity of the power generation member to be evaluated; the fm capacity relation can be expressed as:
Figure BDA0004030284610000137
in the formula, R S For the frequency-modulated capacity of the power generation member to be evaluated, a 1 、b 1 For declaring parameters of a price-FM capacity relation, p S To anticipate the declared price, K S The self-frequency modulation performance is achieved.
Optionally, in other embodiments of this embodiment, the model building module 403 may be further configured to:
a frequency modulation mileage evaluation model is constructed in advance, and the frequency modulation mileage evaluation model comprises the following steps:
Figure BDA0004030284610000138
calculating each parameter of a frequency modulation mileage evaluation model according to the obtained multiple groups of historical frequency modulation mileage of the target power generation member, and historical average frequency modulation capacity and historical frequency modulation performance corresponding to each group of historical frequency modulation mileage;
in the formula, L g Historical frequency-modulated mileage, K, for a target power generation member g g Historical frequency modulation performance of a target power generation member g;
Figure BDA0004030284610000141
the historical average frequency modulation capacity of a target power generation member g in a statistical period, a 2 、b 2 、c 2 And evaluating the parameters of the model for the frequency-modulated mileage.
As an optional implementation manner of the foregoing embodiment, the frequency-modulated mileage predicting module 404 may be further configured to: determining an expected frequency modulation mileage calculation relational expression corresponding to a power generation member to be evaluated based on the frequency modulation mileage evaluation model; the expected frequency modulation mileage calculation relation is as follows:
L S =a 2 R S +b 2 K S +c 2
in the formula, L S Expected frequency modulation mileage for the power generation member to be evaluated, frequency modulation capacity for the power generation member to be evaluated, K S The self-frequency modulation performance is achieved.
The functions of the functional modules of the expected frequency modulation mileage evaluation apparatus according to the embodiment of the present invention may be specifically implemented according to the method in the above method embodiment, and the specific implementation process may refer to the related description of the above method embodiment, which is not described herein again.
Therefore, the accuracy of the expected frequency modulation mileage evaluation can be effectively improved.
The expected fm mileage evaluation apparatus mentioned above is described from the perspective of a functional module, and further, the present application also provides an electronic device described from the perspective of hardware. Fig. 5 is a schematic structural diagram of an electronic device provided in an embodiment of the present application in an implementation manner. As shown in fig. 5, the electronic device comprises a memory 50 for storing a computer program; the processor 51, when executing the computer program, is configured to implement the steps of the expected fm mileage evaluating method according to any one of the above embodiments.
The processor 51 may include one or more processing cores, such as a 4-core processor, an 8-core processor, and the processor 51 may also be a controller, a microcontroller, a microprocessor or other data processing chip, and the like. The processor 51 may be implemented in at least one hardware form of a DSP (Digital Signal Processing), an FPGA (Field-Programmable Gate Array), and a PLA (Programmable Logic Array). The processor 51 may also include a main processor and a coprocessor, where the main processor is a processor for Processing data in an awake state, and is also called a Central Processing Unit (CPU); a coprocessor is a low power processor for processing data in a standby state. In some embodiments, the processor 51 may be integrated with a GPU (Graphics Processing Unit), which is responsible for rendering and drawing the content that the display screen needs to display. In some embodiments, the processor 51 may further include an AI (Artificial Intelligence) processor for processing computing operations related to machine learning.
Memory 50 may include one or more computer-readable storage media, which may be non-transitory. Memory 50 may also include high speed random access memory as well as non-volatile memory, such as one or more magnetic disk storage devices, flash memory storage devices. The memory 50 may in some embodiments be an internal storage unit of the electronic device, for example a hard disk of a server. The memory 50 may also be an external storage device of the electronic device in other embodiments, such as a plug-in hard disk provided on a server, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like. Further, the memory 50 may also include both an internal storage unit and an external storage device of the electronic device. The memory 50 can be used for storing various data and application software installed in the electronic device, such as: codes of programs or the like during execution of the expected fm mileage evaluation method may also be used to temporarily store data that has been output or is to be output. In this embodiment, the memory 50 is at least used for storing the following computer program 501, wherein after being loaded and executed by the processor 51, the computer program can implement the relevant steps of the expected fm mileage evaluation method disclosed in any one of the foregoing embodiments. In addition, the resources stored in the memory 50 may also include an operating system 502, data 503, and the like, and the storage manner may be a transient storage manner or a permanent storage manner. Operating system 502 may include Windows, unix, linux, etc. The data 503 may include, but is not limited to, data corresponding to expected frequency modulated mileage evaluation results, and the like.
In some embodiments, the electronic device may further include a display 52, an input/output interface 53, a communication interface 54, alternatively referred to as a network interface, a power supply 55, and a communication bus 56. The display 52 and the input/output interface 53, such as a Keyboard (Keyboard), belong to a user interface, and the optional user interface may further include a standard wired interface, a wireless interface, and the like. Alternatively, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch device, or the like. The display, which may also be referred to as a display screen or display unit, as appropriate, is used for displaying information processed in the electronic device and for displaying a visualized user interface. The communication interface 54 may optionally include a wired interface and/or a wireless interface, such as a WI-FI interface, a bluetooth interface, etc., typically used to establish a communication connection between the electronic device and other electronic devices. The communication bus 56 may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown in FIG. 5, but that does not indicate only one bus or one type of bus.
Those skilled in the art will appreciate that the configuration shown in fig. 5 is not intended to be limiting of the electronic device and may include more or fewer components than those shown, such as sensors 57, for example, which may perform various functions.
The functions of the functional modules of the electronic device according to the embodiments of the present invention may be specifically implemented according to the method in the above method embodiments, and the specific implementation process may refer to the description related to the above method embodiments, which is not described herein again.
Therefore, the accuracy of the expected frequency modulation mileage evaluation can be effectively improved.
It is to be understood that, if the expected fm mileage evaluation method in the above embodiment is implemented in the form of a software functional unit and sold or used as a separate product, it may be stored in a computer-readable storage medium. Based on such understanding, the technical solutions of the present application may be substantially or partially implemented in the form of a software product, which is stored in a storage medium and executes all or part of the steps of the methods of the embodiments of the present application, or all or part of the technical solutions. And the aforementioned storage medium includes: a U disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), an electrically erasable programmable ROM, a register, a hard disk, a multimedia card, a card type Memory (e.g., SD or DX Memory, etc.), a magnetic Memory, a removable magnetic disk, a CD-ROM, a magnetic or optical disk, and other various media capable of storing program codes.
Based on this, the embodiment of the present invention further provides a readable storage medium, which stores a computer program, where the computer program is executed by a processor, and the computer program performs the steps of the method for estimating expected frequency-modulated mileage as described in any one of the above embodiments.
In the present specification, the embodiments are described in a progressive manner, and each embodiment focuses on differences from other embodiments, and the same or similar parts between the embodiments are referred to each other. For hardware including devices and electronic equipment disclosed by the embodiment, the description is relatively simple because the hardware includes the devices and the electronic equipment correspond to the method disclosed by the embodiment, and the relevant points can be obtained by referring to the description of the method.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
The present application provides a method, an apparatus, an electronic device and a readable storage medium for estimating expected frequency-modulated mileage. The principles and embodiments of the present invention are explained herein using specific examples, which are presented only to assist in understanding the method and its core concepts. It should be noted that, for those skilled in the art, without departing from the principle of the present invention, it can make several improvements and modifications to the present application, and those improvements and modifications also fall into the protection scope of the claims of the present application.

Claims (10)

1. A method for estimating expected fm mileage, comprising:
acquiring operation parameters and market open parameters of a power generation member to be evaluated;
determining the frequency modulation capacity of the power generation member to be evaluated according to the operation parameters, the frequency modulation capacity clearing price and the frequency modulation performance of the target power generation member in the market public parameters;
constructing a frequency modulation mileage evaluation model according to the historical frequency modulation capacity, the historical frequency modulation performance and the historical frequency modulation mileage of each power generation member;
and obtaining the expected frequency modulation mileage of the power generation member to be evaluated based on the frequency modulation mileage evaluation model according to the self frequency modulation performance in the operation parameters and the frequency modulation capacity of the power generation member to be evaluated.
2. The method for evaluating expected frequency modulation mileage according to claim 1, wherein the determining the frequency modulation capacity of the power generation member to be evaluated according to the operation parameters, the frequency modulation capacity clearing price and the frequency modulation performance of the target power generation member in the market disclosure parameters comprises:
determining a corresponding relation between the equivalent declaration price and the frequency modulation capacity according to the equivalent declaration price and the historical average frequency modulation capacity of the target power generation member; the equivalent declaration price is the corresponding clearing price of the frequency modulation capacity;
and determining the frequency modulation capacity of the power generation member to be evaluated according to the expected declared price and the frequency modulation performance of the power generation member to be evaluated in the operation parameters based on the corresponding relation between the equivalent declared price and the frequency modulation capacity.
3. The method for assessing expected frequency-modulated mileage as claimed in claim 2, wherein the determining the correspondence between the equivalent declared price and the frequency modulation capacity according to the equivalent declared price and the historical average frequency modulation capacity of the target power generation member comprises:
calling an equivalent price relational expression, and calculating the average equivalent declaration price of the target power generation member; the equivalent price relation is as follows:
Figure FDA0004030284600000011
calling a historical frequency modulation capacity relational expression, and calculating the historical average frequency modulation capacity of the target power generation member; the historical frequency modulation capacity relational expression is as follows:
Figure FDA0004030284600000021
calculating parameters of a pre-constructed declaration price-frequency modulation capacity relational expression according to the obtained multiple groups of average equivalent declaration prices and multiple groups of historical average frequency modulation capacities of the target power generation members; the declared price-frequency modulation capacity relational expression is as follows:
Figure FDA0004030284600000022
determining a corresponding relation between the equivalent declared price and the frequency modulation capacity according to the parameters of the declared price-frequency modulation capacity relational expression;
wherein,
Figure FDA0004030284600000023
equivalent declaration price for target generating member g on operating day d, < >>
Figure FDA0004030284600000024
The average equivalent declaration price of the target power generation member g in the statistical period is shown, ND is the number of days in the statistical period, and the number of the hours is greater than or equal to>
Figure FDA0004030284600000025
Clearing price for running day d FM market capacity trading, K g The frequency modulation performance of a target power generation member g; />
Figure FDA0004030284600000026
For the historical average frequency modulation capacity of the target generating member g in the statistical period->
Figure FDA0004030284600000027
The frequency modulation capacity of a target power generation member g on a running day d is set; a is 1 、b 1 Parameter for reporting price-frequency modulation capacity relationAnd (4) counting.
4. The method for evaluating expected frequency-modulated mileage according to claim 2, wherein the determining the frequency-modulated capacity of the power generation member to be evaluated according to the expected declared price and the self frequency-modulated performance in the operation parameters based on the correspondence between the equivalent declared price and the frequency-modulated capacity comprises:
calling a frequency modulation capacity relational expression, and calculating the frequency modulation capacity of the power generation member to be evaluated; the frequency modulation capacity relational expression is as follows:
Figure FDA0004030284600000028
in the formula, R S For the frequency modulation capacity of the power generation member to be evaluated, a 1 、b 1 For declaring parameters of a price-FM capacity relation, p S To anticipate the declared price, K S The self-frequency modulation performance is achieved.
5. The method for evaluating expected frequency modulation mileage according to any one of claims 1 to 4, wherein the constructing of the frequency modulation mileage evaluation model according to the historical frequency modulation capacity, the historical frequency modulation performance and the historical frequency modulation mileage of each power generation member comprises:
pre-constructing a frequency modulation mileage evaluation model, wherein the frequency modulation mileage evaluation model comprises the following steps:
Figure FDA0004030284600000031
calculating each parameter of the frequency modulation mileage evaluation model according to the obtained multiple groups of historical frequency modulation mileage of the target power generation member, and historical average frequency modulation capacity and historical frequency modulation performance corresponding to each group of historical frequency modulation mileage;
in the formula, L g Historical frequency-modulated mileage, K, for a target power generation member g g Historical frequency modulation performance of a target power generation member g;
Figure FDA0004030284600000032
the historical average frequency modulation capacity of a target power generation member g in a statistical period, a 2 、b 2 、c 2 And evaluating the parameters of the model for the frequency-modulated mileage.
6. The method for evaluating the expected frequency modulation mileage according to claim 5, wherein the obtaining of the expected frequency modulation mileage of the power generation member to be evaluated based on the frequency modulation mileage evaluation model according to the self frequency modulation performance in the operation parameters and the frequency modulation capacity of the power generation member to be evaluated comprises:
determining an expected frequency modulation mileage calculation relational expression corresponding to the power generation member to be evaluated based on the frequency modulation mileage evaluation model; the expected frequency modulation mileage calculation relation is as follows:
L S =a 2 R S +b 2 K S +c 2
in the formula, L S The expected frequency modulation mileage of the power generation member to be evaluated, the frequency modulation capacity of the power generation member to be evaluated, K S The self-frequency modulation performance is achieved.
7. An expected fm mileage evaluating apparatus, comprising:
the parameter acquisition module is used for acquiring the operation parameters and the market open parameters of the power generation members to be evaluated;
the frequency modulation capacity determining module is used for determining the frequency modulation capacity of the power generation member to be evaluated according to the operation parameters, the frequency modulation capacity clearing price and the frequency modulation performance of the target power generation member in the market public parameters;
the model building module is used for building a frequency modulation mileage evaluation model according to the historical frequency modulation capacity, the historical frequency modulation performance and the historical frequency modulation mileage of each power generation member;
and the frequency modulation mileage pre-estimation module is used for obtaining the expected frequency modulation mileage of the power generation member to be evaluated according to the self frequency modulation performance in the operation parameters and the frequency modulation capacity of the power generation member to be evaluated based on the frequency modulation mileage evaluation model.
8. The expected fm mileage evaluation apparatus of claim 7, wherein the fm capacity determination module is further configured to:
determining a corresponding relation between the equivalent declared price and the frequency modulation capacity according to the equivalent declared price and the historical average frequency modulation capacity of the target power generation member; the equivalent declaration price is the corresponding clearing price of the frequency modulation capacity;
and determining the frequency modulation capacity of the power generation member to be evaluated according to the expected declared price and the self frequency modulation performance in the operation parameters based on the corresponding relation between the equivalent declared price and the frequency modulation capacity.
9. An electronic device comprising a processor and a memory, the processor being configured to implement the steps of the method of assessing expected fm range as claimed in any one of claims 1 to 6 when executing a computer program stored in the memory.
10. A readable storage medium, having stored thereon a computer program which, when being executed by a processor, carries out the steps of the method of assessing expected fm mileage as claimed in any one of claims 1 to 6.
CN202211726602.6A 2022-12-30 2022-12-30 Expected frequency modulation mileage evaluation method and device, electronic equipment and readable storage medium Pending CN115912407A (en)

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