CN111476493B - Method and device for detecting economic persistence behavior of unit and computer equipment - Google Patents
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Abstract
The application relates to a method and a device for detecting economic persistence behavior of a unit, computer equipment and a storage medium. The method comprises the following steps: classifying the units in the power plant to be detected according to preset unit classification conditions to obtain a classified unit set; aiming at each unit in the classified unit set, acquiring the daily and medium standard generating capacity of each unit, and acquiring the daily unit generating capacity of each unit; respectively determining the corresponding medium-rate characteristics of each unit; the medium rate characteristic is obtained according to the ratio of the daily medium standard generating capacity of the unit to the daily unit generating capacity of the unit; determining a target unit in the classified unit set according to the medium-rate features corresponding to the units; the target unit is used for monitoring economic retention behaviors in the electric power market by users. By adopting the method, the economic retention behavior of the power generator can be accurately monitored.
Description
Technical Field
The present application relates to the field of power system technologies, and in particular, to a method and an apparatus for detecting an economic persistence behavior of a unit, a computer device, and a storage medium.
Background
Economic retention behavior is a common behavior for exerting market forces in the electricity market. That is, the generator strategically overbooks some of the capacity, and attempts to raise the price of the electricity at market so that its remaining capacity can be offered as high quotes.
In the prior art, an electric power supervision mechanism usually needs to monitor whether an economic persistence behavior exists in a generator according to the economic generating capacity of a set of the generator, however, because the electric power market is in a reform development stage at present, data such as the set cost of the generator and the like cannot be accurately collected and counted, so that the economic generating capacity of the set of the generator cannot be accurately estimated, and the problem that the economic persistence behavior of the generator cannot be accurately monitored in the prior art is also caused.
Disclosure of Invention
In view of the above, it is necessary to provide a method and an apparatus for detecting economic persistence of a power plant, a computer device, and a storage medium, which can accurately monitor economic persistence of a power generator.
A method of detecting economic persistence behavior of a unit, the method comprising:
classifying the units in the power plant to be detected according to preset unit classification conditions to obtain a classified unit set;
Aiming at each unit in the classified unit set, acquiring the daily and medium standard generating capacity of each unit, and acquiring the daily unit generating capacity of each unit;
respectively determining the corresponding medium-rate characteristics of each unit; the medium rate characteristic is obtained according to the ratio of the daily medium standard generating capacity of the unit to the daily unit generating capacity of the unit;
determining a target unit in the classified unit set according to the medium-rate features corresponding to the units; the target unit is used for monitoring economic retention behaviors in the power market by users.
In one embodiment, the unit classification condition includes at least one of a unit classification condition of the same region, a unit classification condition of the same type, and a unit classification condition of the same capacity.
In one embodiment, when the unit classification condition is the unit classification condition in the same region or the unit classification condition of the same type, the determining a target unit in the classified unit set according to the medium-rate-of-revolution characteristic corresponding to each unit includes:
determining a large-capacity unit in the classified unit set and a small-capacity unit in the classified unit set;
And when the characteristic difference value between the medium rate characteristic corresponding to the large-capacity unit and the medium rate characteristic corresponding to the small-capacity unit is larger than a preset difference threshold value, determining that the large-capacity unit is the target unit.
In one embodiment, the determining the target unit in the classified unit set according to the medium-rate characteristics corresponding to each unit includes:
calculating the mean value of the characteristic values of the medium-rate corresponding to each unit to obtain the mean value of the medium-rate for the classified unit set;
respectively calculating the difference between the characteristic value of the medium rate corresponding to each unit and the mean value of the medium rate to obtain the difference value of the medium rate corresponding to each unit; the bid rate difference is used for representing the difference degree between the corresponding bid rate characteristics of the unit and the overall bid rate characteristics of the classified unit set;
and determining a target unit in the classified unit set according to the corresponding winning rate difference value of each unit.
In one embodiment, the determining a target unit in the classified unit set according to the medium-rate difference corresponding to each unit includes:
Acquiring a temporary difference threshold corresponding to the unit classification condition of the classified unit set;
and in the classified unit set, taking the unit with the medium rate difference value larger than the temporary difference threshold value as the target unit.
In one embodiment, the obtaining the daily unit power generation amount of each unit includes:
acquiring the installed capacity of the power plant to be detected and the daily maximum power generation duration of the unit;
and determining the daily unit generating capacity of the unit according to the installed capacity of the power plant to be detected and the daily maximum generating time of the unit.
In one embodiment, the determining the daily unit power generation amount of the unit according to the installed capacity of the power plant to be detected and the daily maximum power generation duration of the unit includes:
determining the rated active power of the unit according to the installed capacity of the power plant to be detected;
and calculating the product of the rated active power of the unit and the maximum daily generating time as the daily unit generating capacity of the unit.
An apparatus for detecting economic retention behavior of a unit, the apparatus comprising:
the classification module is used for classifying the units in the power plant to be detected according to preset unit classification conditions to obtain a classified unit set;
The acquisition module is used for acquiring the daily and medium standard generating capacity of each unit and the daily unit generating capacity of each unit aiming at each unit in the classified unit set;
the determining module is used for respectively determining the corresponding winning rate characteristics of each unit; the medium rate characteristic is obtained according to the ratio of the daily medium standard generating capacity of the unit to the daily unit generating capacity of the unit;
the detection module is used for determining a target unit in the classified unit set according to the medium-rate characteristics corresponding to the units; the target unit is used for monitoring economic retention behaviors in the electric power market by users.
A computer device comprising a memory and a processor, the memory storing a computer program, the processor implementing the following steps when executing the computer program:
classifying the units in the power plant to be detected according to preset unit classification conditions to obtain a classified unit set;
aiming at each unit in the classified unit set, acquiring the daily and medium standard generating capacity of each unit, and acquiring the daily unit generating capacity of each unit;
Respectively determining the corresponding medium-rate characteristics of each unit; the medium rate characteristic is obtained according to the ratio of the daily medium standard generating capacity of the unit to the daily unit generating capacity of the unit;
determining a target unit in the classified unit set according to the medium-rate features corresponding to the units; the target unit is used for monitoring economic retention behaviors in the electric power market by users.
A computer-readable storage medium, on which a computer program is stored which, when executed by a processor, carries out the steps of:
classifying the units in the power plant to be detected according to preset unit classification conditions to obtain a classified unit set;
aiming at each unit in the classified unit set, acquiring the daily and medium standard generating capacity of each unit, and acquiring the daily unit generating capacity of each unit;
respectively determining the corresponding medium-rate characteristics of each unit; the medium rate characteristic is obtained according to the ratio of the daily medium standard generating capacity of the unit to the daily unit generating capacity of the unit;
determining a target unit in the classified unit set according to the medium-rate features corresponding to the units; the target unit is used for monitoring economic retention behaviors in the electric power market by users.
According to the method, the device, the computer equipment and the storage medium for detecting the economic persistence behavior of the unit, the unit in the power plant to be detected is classified according to the preset unit classification conditions, so that a classified unit set is obtained; then, acquiring the daily and medium standard generating capacity of each unit and acquiring the daily unit generating capacity of each unit by aiming at each unit in the classified unit set; respectively determining the corresponding winning rate characteristics of each unit; the medium rate characteristic is obtained according to the ratio of the daily medium standard generating capacity of the unit to the daily unit generating capacity of the unit; finally, determining a target unit for monitoring the economic retention behavior in the electric power market by the user in the classified unit set according to the corresponding medium-rate features of each unit; therefore, in the process of monitoring the economic persistence behaviors of each unit, only the daily unit generating capacity and the daily and medium-standard generating capacity of each unit need to be acquired, errors caused by data loss can be effectively reduced, meanwhile, the corresponding classified unit set is determined according to preset unit classification conditions, the unit bid rates are compared in multiple aspects, the misjudgment risk caused by the single consideration of the bid rates is reduced, the probability of false positive or false negative errors is reduced, and the economic persistence behavior monitoring is more accurate.
Drawings
FIG. 1 is a diagram of an exemplary embodiment of a method for detecting economic persistence of a unit;
FIG. 2 is a schematic flow chart of a method for detecting economic retention behavior of a unit in one embodiment;
FIG. 3 is a schematic flow chart of another method for detecting economic retention behavior of a unit according to one embodiment;
FIG. 4 is a block diagram of an apparatus for detecting economic persistence behavior of a unit according to an embodiment;
FIG. 5 is a diagram illustrating an internal structure of a computer device according to an embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The method for detecting the economic retention behavior of the unit can be applied to the application environment shown in fig. 1. The computer device 110 classifies the units in the power plant to be detected according to preset unit classification conditions to obtain a classified unit set; then, the computer device 110 obtains the daily and medium standard generating capacity of each unit and the daily unit generating capacity of each unit for each unit in the classified unit set; then, the computer device 110 determines the corresponding medium-rate characteristics of each unit respectively; the medium rate characteristic is obtained according to the ratio of the daily medium standard generating capacity of the unit to the daily generating capacity of the unit; finally, the computer device 110 determines a target unit in the classified unit set according to the characteristics of the bid rate corresponding to each unit; the difference degree between the medium rate characteristics corresponding to the target unit and the medium rate characteristics corresponding to each unit meets a preset condition; the target unit is used for monitoring economic retention behaviors in the electric power market by users. In practical applications, the computer device 110 may be, but is not limited to, various personal computers, notebook computers, smart phones, tablet computers, and portable wearable devices, and may also be implemented by an independent server or a server cluster composed of a plurality of servers.
In one embodiment, as shown in fig. 2, a method for detecting economic persistence behavior of a unit is provided, comprising the steps of:
and S210, classifying the units in the power plant to be detected according to preset unit classification conditions to obtain a classified unit set.
Wherein, the power plant to be detected can be a power plant which needs to be monitored for economic persistence behavior. Wherein the power plant may have one or more generator sets.
The classified unit set may be a set composed of a plurality of classified units.
In another embodiment, the unit classification condition includes at least one of a same-region unit classification condition, a same-type unit classification condition, and a same-capacity unit classification condition.
In a specific implementation, the computer device 110 may classify the units in the power plant to be detected according to a preset unit classification condition, so as to obtain a classified unit set. Specifically, when the unit classification condition is the unit classification condition in the same region, the computer device 110 classifies the units in the power plant to be detected, and the classified unit set is the unit set in the same region. When the unit classification condition is the same type of unit classification condition, the computer device 110 classifies the units in the power plant to be detected, and the classified unit set is the same type of unit set. When the unit classification condition is the same-capacity unit classification condition, the computer device 110 classifies the units in the power plant to be detected, and the classified unit set is the same-capacity unit set.
Step S220, aiming at each unit in the classified unit set, acquiring the daily and medium standard generating capacity of each unit, and acquiring the daily unit generating capacity of each unit.
In a specific implementation, after the computer device 110 determines the classified unit set, the computer device 110 obtains, from the unit data collected and counted by the power grid, a daily-medium standard power generation amount corresponding to each unit in the classified unit set, and obtains a daily unit power generation amount corresponding to each unit in the classified unit set.
The unit data can include daily and medium standard electric quantity of the unit, installed capacity of the group, maintenance unit information and the like.
Step S230, respectively determining the corresponding medium-rate characteristics of each unit; the medium rate characteristic is obtained according to the ratio of the daily medium standard generating capacity of the unit to the daily generating capacity of the unit.
And the medium rate characteristic is obtained according to the ratio of the daily medium standard generating capacity of the unit to the daily unit generating capacity of the unit.
In a specific implementation, in the process of determining the characteristics of the bid rate corresponding to each unit, for a certain unit, the computer device 110 may calculate a ratio between the bid winning power generation amount of the unit and the daily unit power generation amount of the unit, and name the ratio as the bid rate. Then, the computer device 110 uses the winning rate corresponding to the unit as the characteristic of the winning rate corresponding to the unit. The computer device 110 calculates the corresponding medium-rate characteristics of each unit in a traversal manner in the classified unit set until the medium-rate characteristics corresponding to each unit are obtained.
Step S240, determining a target unit in the classified unit set according to the medium-rate characteristics corresponding to each unit; the difference degree between the medium rate characteristics corresponding to the target unit and the medium rate characteristics corresponding to each unit meets a preset condition; the target unit is used for monitoring economic retention behaviors in the electric power market by users.
And the difference degree between the medium rate characteristics corresponding to the target unit and the medium rate characteristics corresponding to each unit meets a preset condition.
Wherein, the target unit is used for supplying the user to monitor the economic persistence action in the electric power market.
In a specific implementation, in the process that the computer device 110 determines the target unit in the classified unit set according to the medium-rate characteristics corresponding to each unit, the computer device 110 may compare the medium-rate characteristics corresponding to each unit, and determine whether there is a target unit in which the medium-rate characteristics and the medium-rate characteristics corresponding to each unit have a significant difference. Namely, the difference degree between the medium rate characteristics corresponding to the target unit and the medium rate characteristics corresponding to each unit meets the preset condition. The computer device 110 determines that the target generating set is a generating set with suspected economic persistence behavior.
In this way, the obtained target unit can provide a reference for setting a market threshold for the market regulatory authority, for example, help the market regulatory authority to determine how much economic retention is tolerable, and provide a basis for market force mitigation mechanisms and the like.
In the method for detecting the economic persistence behavior of the unit, the unit in the power plant to be detected is classified according to preset unit classification conditions to obtain a classified unit set; then, acquiring the daily and medium standard generating capacity of each unit and acquiring the daily unit generating capacity of each unit by aiming at each unit in the classified unit set; respectively determining the corresponding winning rate characteristics of each unit; the medium rate characteristic is obtained according to the ratio of the daily medium standard generating capacity of the unit to the daily generating capacity of the unit; finally, determining a target unit for monitoring the economic retention behavior in the electric power market by the user in the classified unit set according to the corresponding medium-rate features of each unit; therefore, in the process of monitoring the economic persistence behaviors of each unit, only the daily unit generating capacity and the daily and medium-standard generating capacity of each unit need to be acquired, errors caused by data loss can be effectively reduced, meanwhile, the corresponding classified unit set is determined according to preset unit classification conditions, the unit bid rates are compared in multiple aspects, the misjudgment risk caused by the single consideration of the bid rates is reduced, the probability of false positive or false negative errors is reduced, and the economic persistence behavior monitoring is more accurate.
In another embodiment, when the unit classification condition is a unit classification condition in the same region or a unit classification condition of the same type, determining a target unit in the classified unit set according to a medium-rate characteristic corresponding to each unit, includes: determining a large-capacity unit in the classified unit set and a small-capacity unit in the classified unit set; and when the characteristic difference value between the medium rate characteristic corresponding to the large-capacity unit and the medium rate characteristic corresponding to the small-capacity unit is larger than a preset difference threshold value, determining the large-capacity unit as a target unit.
And the rated active power of the large-capacity unit is greater than that of the small-capacity unit.
In a specific implementation, when the unit classification condition is a unit classification condition in the same region or a unit classification condition is a unit classification condition of the same type, the computer device 110 specifically includes, in a process of determining a target unit in the classified unit set according to a medium-rate characteristic corresponding to each unit: the computer device 110 may determine a large capacity unit from the set of classified units, and determine a small capacity unit from the set of classified units; and the rated active power of the large-capacity unit is greater than that of the small-capacity unit. Then, the computer device 110 compares the medium-rate characteristics corresponding to the large-capacity unit with the medium-rate characteristics corresponding to the small-capacity unit, and when the computer device 110 determines that the characteristic difference value between the medium-rate characteristics corresponding to the large-capacity unit and the medium-rate characteristics corresponding to the small-capacity unit is greater than the preset difference threshold value, the computer device 110 determines that the large-capacity unit is the target unit.
Specifically, the computer device 110 may obtain a first medium-rate characteristic value corresponding to the large-capacity unit and obtain a second medium-rate characteristic value corresponding to the small-capacity unit; then, the computer device 110 calculates a difference between the second medium-rate characteristic value and the first medium-rate characteristic value as a medium-rate deviation value; then, the computer device 110 determines whether the winning rate deviation value is greater than a preset deviation value threshold; if so, the medium rate of the large-capacity unit is obviously lower than that of the small-capacity unit, and the large-capacity unit possibly has the suspicion of economic persistence behavior. Therefore, the computer device 110 determines the large-capacity unit as the target unit.
According to the technical scheme of the embodiment, a target unit is determined in a classified unit set according to the medium-rate characteristics corresponding to each unit, and a large-capacity unit in the classified unit set and a small-capacity unit in the classified unit set are determined; when the characteristic difference value between the medium rate characteristic corresponding to the large-capacity unit and the medium rate characteristic corresponding to the small-capacity unit is larger than the preset difference threshold value, the fact that the medium rate of the large-capacity unit is obviously lower than the medium rate of the small-capacity unit is determined in time, the large-capacity unit is determined to be the target unit, and therefore the economic retention behavior of each unit in the classified unit set is accurately monitored.
In another embodiment, the determining the target unit in the classified unit set according to the corresponding medium-rate characteristics of each unit includes: calculating the mean value of the characteristic values of the medium-rate corresponding to each unit to obtain the mean value of the medium-rate for the classified unit set; respectively calculating the difference between the characteristic value of the medium rate corresponding to each unit and the mean value of the medium rate to obtain the difference value of the medium rate corresponding to each unit; the bid-winning rate difference value is used for representing the difference degree between the corresponding bid-winning rate features of the unit and the overall bid-winning rate features of the classified unit set; and determining a target unit in the classified unit set according to the corresponding bid rate difference value of each unit.
Wherein, the medium-rate characteristic has a corresponding medium-rate characteristic value.
And the medium-rate difference value is used for representing the difference degree between the medium-rate characteristics corresponding to the unit and the overall medium-rate characteristics of the classified unit set.
In a specific implementation, when the computer device 110 determines the target unit in the classified unit set according to the medium-rate characteristics corresponding to each unit, the method specifically includes: the computer device 110 obtains the average value of the bid rates of the classified set by calculating the average value of the corresponding characteristic values of the bid rates of the units; then, the computer device 110 calculates the difference between the medium-rate characteristic value corresponding to each unit and the medium-rate mean value, and obtains the medium-rate difference value corresponding to each unit and used for representing the difference degree between the medium-rate characteristic corresponding to the unit and the overall medium-rate characteristic of the classified unit set. Finally, the computer device 110 determines the target unit from the classified unit set according to the corresponding bid rate difference of each unit.
In another embodiment, determining a target unit in the classified unit set according to the medium-rate difference corresponding to each unit includes: acquiring a temporary difference threshold corresponding to the unit classification condition of the classified unit set; and in the classified unit set, the unit with the winning bid difference value larger than the temporary difference threshold value is taken as a target unit.
In a specific implementation, in the process that the computer device 110 determines the target unit in the classified unit set according to the medium-rate difference corresponding to each unit, the computer device 110 may obtain a temporary difference threshold corresponding to the unit classification condition of the classified unit set. Then, the computer device 110 compares the corresponding rate difference of each unit with the temporary difference threshold, and when the corresponding rate difference of a certain unit is greater than the temporary difference threshold, the computer device 110 determines that the unit is the target unit.
According to the technical scheme, the medium-rate features have corresponding medium-rate feature values, and in the process of determining the target unit in the classified unit set according to the medium-rate features corresponding to the units, the average value of the medium-rate feature values corresponding to the units is calculated to obtain the medium-rate average value for the classified unit set; respectively calculating the difference between the characteristic value of the medium rate corresponding to each unit and the mean value of the medium rate to obtain the difference value of the medium rate corresponding to each unit; the bid-winning rate difference value is used for representing the difference degree between the corresponding bid-winning rate features of the unit and the overall bid-winning rate features of the classified unit set; acquiring a temporary difference threshold corresponding to the unit classification condition of the classified unit set; in the classified unit set, the unit with the bid rate difference value larger than the temporary difference threshold value is taken as a target unit, and at this time, the bid rate of the unit is obviously lower than that of other units in the classified unit set, so that the target unit with the bid rate characteristic greatly different from the total bid rate characteristic of the classified unit set can be accurately determined in the classified unit set, and further the target unit is used for accurately monitoring the economic retention behavior in the electric power market by a user.
In another embodiment, obtaining daily unit power generation for each unit comprises: acquiring the installed capacity of a power plant to be detected and the daily maximum power generation duration of a unit; and determining the daily unit generating capacity of the unit according to the installed capacity of the power plant to be detected and the daily maximum generating time of the unit.
In a specific implementation, in the process that the computer device 110 acquires the daily unit power generation amount of each unit, the computer device 110 first detects the installed capacity of the power plant to be detected, and the computer device 110 acquires the daily maximum power generation duration of the unit; then, the computer device 110 calculates the daily unit power generation amount corresponding to each unit according to the installed capacity of the power plant to be detected and the daily maximum power generation duration corresponding to each unit. The daily unit power generation amount of the unit can also be named as the daily maximum power generation amount of the unit.
In another embodiment, determining the daily unit power generation amount of the unit according to the installed capacity of the power plant to be detected and the daily maximum power generation duration of the unit comprises: determining the rated active power of a unit according to the installed capacity of a power plant to be detected; and calculating the product of the rated active power of the unit and the daily maximum power generation time as the daily unit power generation amount of the unit.
In the specific implementation, the process of determining the daily unit power generation amount of the unit by the computer device 110 according to the installed capacity of the power plant to be detected and the daily maximum power generation duration of the unit specifically includes: the computer equipment 110 determines the rated active power of the unit according to the installed capacity of the power plant to be detected; then, the computer device 110 calculates the product between the rated active power of the unit and the daily maximum power generation duration, and takes the calculated product as the daily unit power generation amount of the unit.
According to the technical scheme of the embodiment, the rated active power of the unit is determined according to the installed capacity of the power plant to be detected; and calculating the product of the rated active power of the unit and the daily maximum power generation time, so that the daily unit power generation amount of the unit can be accurately calculated.
In one embodiment, as shown in fig. 3, another method for detecting economic retention behavior of a unit is provided, which specifically includes the following steps: and S310, classifying the units in the power plant to be detected according to preset unit classification conditions to obtain a classified unit set. Step S320, aiming at each unit in the classified unit set, acquiring the daily and medium standard generating capacity of each unit, and acquiring the daily unit generating capacity of each unit. Step S330, respectively determining the corresponding medium-rate characteristics of each unit; the medium rate characteristic is obtained according to the ratio of the daily medium standard generating capacity of the unit to the daily unit generating capacity of the unit; the medium-rate features have corresponding medium-rate feature values. Step S340, calculating a mean of the medium-rate characteristic values corresponding to each unit, to obtain a medium-rate mean for the classified unit set. Step S350, respectively calculating the difference between the characteristic value of the medium rate corresponding to each unit and the mean value of the medium rate to obtain the difference value of the medium rate corresponding to each unit; and the medium-rate difference value is used for representing the difference degree between the medium-rate characteristics corresponding to the unit and the overall medium-rate characteristics of the classified unit set. And step S360, acquiring a temporary difference threshold corresponding to the unit classification condition of the classified unit set. Step S370, in the classified unit set, taking the unit with the medium rate difference value larger than the temporary difference threshold value as the target unit; the target unit is used for monitoring economic retention behaviors in the electric power market by users. The specific limitations of the above steps can be referred to the above specific limitations of the method for detecting the economic persistence behavior of the unit, and are not described herein again.
It should be understood that although the steps in the flowcharts of fig. 2 and 3 are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least some of the steps in fig. 2 and 3 may include multiple sub-steps or multiple stages that are not necessarily performed at the same time, but may be performed at different times, and the order of performing the sub-steps or stages is not necessarily sequential, but may be performed alternately or alternately with other steps or at least some of the sub-steps or stages of other steps.
In one embodiment, as shown in fig. 4, there is provided a device for detecting economic retention behavior of a unit, comprising:
the classification module 410 is configured to classify the units in the power plant to be detected according to preset unit classification conditions, so as to obtain a classified unit set;
an obtaining module 420, configured to obtain, for each unit in the classified unit set, a daily-medium-standard power generation amount of each unit, and obtain a daily unit power generation amount of each unit;
A determining module 430, configured to determine a corresponding medium-rate feature of each unit respectively; the medium rate characteristic is obtained according to the ratio of the daily medium standard generating capacity of the unit to the daily unit generating capacity of the unit;
the detection module 440 is configured to determine a target unit in the classified unit set according to the medium-rate characteristics corresponding to each unit; the target unit is used for monitoring economic retention behaviors in the power market by users.
In one embodiment, the unit classification condition includes at least one of a unit classification condition of the same region, a unit classification condition of the same type, and a unit classification condition of the same capacity.
In one embodiment, when the unit classification condition is the unit classification condition of the same region or the unit classification condition of the same type, the detection module 440 is specifically configured to determine a large-capacity unit in the classified unit set and a small-capacity unit in the classified unit set; and when the characteristic difference value between the medium rate characteristic corresponding to the large-capacity unit and the medium rate characteristic corresponding to the small-capacity unit is larger than a preset difference threshold value, determining that the large-capacity unit is the target unit.
In one embodiment, the medium-rate features have corresponding medium-rate feature values, and the detection module 440 is specifically configured to calculate a mean value of the medium-rate feature values corresponding to each unit, so as to obtain a medium-rate mean value for the classified unit set; respectively calculating the difference between the characteristic value of the bid rate corresponding to each unit and the average value of the bid rate to obtain the difference value of the bid rate corresponding to each unit; the bid rate difference is used for representing the difference degree between the corresponding bid rate characteristics of the unit and the overall bid rate characteristics of the classified unit set; and determining a target unit in the classified unit set according to the bid rate difference corresponding to each unit.
In one embodiment, the detecting module 440 is specifically configured to obtain a temporary difference threshold corresponding to the unit classification condition of the classified unit set; and in the classified unit set, taking the unit with the winning rate difference value larger than the temporary difference threshold value as the target unit.
In one embodiment, the obtaining module 420 is specifically configured to obtain the installed capacity of the power plant to be detected, and obtain the maximum daily power generation duration of the unit; and determining the daily unit generating capacity of the unit according to the installed capacity of the power plant to be detected and the daily maximum generating time of the unit.
In one embodiment, the obtaining module 420 is specifically configured to determine the rated active power of the unit according to the installed capacity of the power plant to be detected; and calculating the product of the rated active power of the unit and the maximum daily generating time to be used as the daily unit generating capacity of the unit.
For specific limitations of the detection device for the economic retention behavior of the unit, reference may be made to the above limitations of the detection method for the economic retention behavior of the unit, and details are not described here. All or part of each module in the detection device for the economic persistence behavior of the unit can be realized by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, which may be a server, and the internal structure thereof may be as shown in fig. 5. The computer device includes a processor, a memory, a network interface, and a database connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The database of the computer device is used for storing unit data. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a method for detecting economic persistence behavior of a unit.
In one embodiment, a computer device is provided, comprising a memory having a computer program stored therein and a processor that when executing the computer program performs the steps of:
step S210, classifying the units in the power plant to be detected according to preset unit classification conditions to obtain a classified unit set;
step S220, aiming at each unit in the classified unit set, acquiring the daily and medium standard generating capacity of each unit, and acquiring the daily unit generating capacity of each unit;
step S230, respectively determining the corresponding medium-rate characteristics of each unit; the medium rate characteristic is obtained according to the ratio of the daily medium standard generating capacity of the unit to the daily unit generating capacity of the unit;
step S240, determining a target unit in the classified unit set according to the medium-rate characteristics corresponding to each unit; the target unit is used for monitoring economic retention behaviors in the electric power market by users.
In one embodiment, the unit classification condition includes at least one of a same-region unit classification condition, a same-type unit classification condition, and a same-capacity unit classification condition.
In one embodiment, when the unit classification condition is the unit classification condition of the same region or the unit classification condition of the same type, the processor executes the computer program to further implement the following steps: determining a large-capacity unit in the classified unit set and a small-capacity unit in the classified unit set; and when the characteristic difference value between the medium rate characteristic corresponding to the large-capacity unit and the medium rate characteristic corresponding to the small-capacity unit is larger than a preset difference threshold value, determining that the large-capacity unit is the target unit.
In one embodiment, the medium-rate feature has a corresponding medium-rate feature value, and the processor when executing the computer program further implements the following steps: calculating the mean value of the characteristic values of the medium-rate corresponding to each unit to obtain the mean value of the medium-rate for the classified unit set; respectively calculating the difference between the characteristic value of the medium rate corresponding to each unit and the mean value of the medium rate to obtain the difference value of the medium rate corresponding to each unit; the bid rate difference is used for representing the difference degree between the corresponding bid rate characteristics of the unit and the overall bid rate characteristics of the classified unit set; and determining a target unit in the classified unit set according to the corresponding winning rate difference value of each unit.
In one embodiment, the processor, when executing the computer program, further performs the steps of: acquiring a temporary difference threshold corresponding to the unit classification condition of the classified unit set; and in the classified unit set, taking the unit with the medium rate difference value larger than the temporary difference threshold value as the target unit.
In one embodiment, the processor, when executing the computer program, further performs the steps of: acquiring the installed capacity of the power plant to be detected and the daily maximum power generation duration of the unit; and determining the daily unit generating capacity of the unit according to the installed capacity of the power plant to be detected and the daily maximum generating time of the unit.
In one embodiment, the processor, when executing the computer program, further performs the steps of: determining the rated active power of the unit according to the installed capacity of the power plant to be detected; and calculating the product of the rated active power of the unit and the maximum daily generating time as the daily unit generating capacity of the unit.
In one embodiment, a computer-readable storage medium is provided, having a computer program stored thereon, which when executed by a processor, performs the steps of:
Step S210, classifying the units in the power plant to be detected according to preset unit classification conditions to obtain a classified unit set;
step S220, aiming at each unit in the classified unit set, acquiring the daily and medium standard generating capacity of each unit, and acquiring the daily unit generating capacity of each unit;
step S230, respectively determining the corresponding bid rate characteristics of each unit; the medium rate characteristic is obtained according to the ratio of the daily medium standard generating capacity of the unit to the daily unit generating capacity of the unit;
step S240, determining a target unit in the classified unit set according to the medium-rate characteristics corresponding to each unit; the target unit is used for monitoring economic retention behaviors in the electric power market by users.
In one embodiment, the unit classification condition includes at least one of a same-region unit classification condition, a same-type unit classification condition, and a same-capacity unit classification condition.
In one embodiment, when the unit classification condition is the same region unit classification condition or the same type unit classification condition, the computer program when executed by the processor further implements the steps of: determining a large-capacity unit in the classified unit set and a small-capacity unit in the classified unit set; and when the characteristic difference value between the medium rate characteristic corresponding to the large-capacity unit and the medium rate characteristic corresponding to the small-capacity unit is larger than a preset difference threshold value, determining that the large-capacity unit is the target unit.
In one embodiment, the medium-rate feature has a corresponding medium-rate feature value, and the computer program when executed by the processor further performs the steps of: calculating the mean value of the characteristic values of the medium-rate corresponding to each unit to obtain the mean value of the medium-rate for the classified unit set; respectively calculating the difference between the characteristic value of the medium rate corresponding to each unit and the mean value of the medium rate to obtain the difference value of the medium rate corresponding to each unit; the bid rate difference is used for representing the difference degree between the corresponding bid rate characteristics of the unit and the overall bid rate characteristics of the classified unit set; and determining a target unit in the classified unit set according to the corresponding winning rate difference value of each unit.
In one embodiment, the computer program when executed by the processor further performs the steps of: acquiring a temporary difference threshold corresponding to the unit classification condition of the classified unit set; and in the classified unit set, taking the unit with the medium rate difference value larger than the temporary difference threshold value as the target unit.
In one embodiment, the computer program when executed by the processor further performs the steps of: acquiring the installed capacity of the power plant to be detected and the daily maximum power generation duration of the unit; and determining the daily unit generating capacity of the unit according to the installed capacity of the power plant to be detected and the daily maximum generating time of the unit.
In one embodiment, the computer program when executed by the processor further performs the steps of: determining the rated active power of the unit according to the installed capacity of the power plant to be detected; and calculating the product of the rated active power of the unit and the maximum daily generating time as the daily unit generating capacity of the unit.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database or other medium used in the embodiments provided herein can include at least one of non-volatile and volatile memory. Non-volatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical storage, or the like. Volatile Memory can include Random Access Memory (RAM) or external cache Memory. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM), among others.
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is specific and detailed, but not to be understood as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent application shall be subject to the appended claims.
Claims (10)
1. A method for detecting economic retention behavior of a unit, the method comprising:
classifying the units in the power plant to be detected according to preset unit classification conditions to obtain a classified unit set;
aiming at each unit in the classified unit set, acquiring the daily and medium standard generating capacity of each unit, and acquiring the daily unit generating capacity of each unit;
Respectively determining the corresponding medium-rate characteristics of each unit; the medium rate characteristic is obtained according to the ratio of the daily medium standard generating capacity of the unit to the daily unit generating capacity of the unit;
determining a target unit in the classified unit set according to the medium-rate features corresponding to the units; the difference degree between the medium-rate features corresponding to the target unit and the medium-rate features corresponding to the units meets a preset condition; the target unit is used for monitoring economic retention behaviors in the electric power market by users.
2. The method of claim 1, wherein the unit classification conditions comprise at least one of co-regional unit classification conditions, unit classification conditions of the same type, and unit classification conditions of the same capacity.
3. The method according to claim 2, wherein when the unit classification condition is the unit classification condition in the same region or the unit classification condition in the same type, the determining a target unit in the classified unit set according to the mark rate feature corresponding to each unit comprises:
determining a large-capacity unit in the classified unit set and a small-capacity unit in the classified unit set;
And when the characteristic difference value between the medium rate characteristic corresponding to the large-capacity unit and the medium rate characteristic corresponding to the small-capacity unit is larger than a preset difference threshold value, determining that the large-capacity unit is the target unit.
4. The method according to claim 1, wherein the medium-rate features have corresponding medium-rate feature values, and the determining the target unit in the classified unit set according to the medium-rate features corresponding to the respective units comprises:
calculating the average value of the characteristic values of the bid rates corresponding to the units to obtain the average value of the bid rates of the classified unit set;
respectively calculating the difference between the characteristic value of the medium rate corresponding to each unit and the mean value of the medium rate to obtain the difference value of the medium rate corresponding to each unit; the bid rate difference is used for representing the difference degree between the corresponding bid rate characteristics of the unit and the overall bid rate characteristics of the classified unit set;
and determining a target unit in the classified unit set according to the bid rate difference corresponding to each unit.
5. The method according to claim 4, wherein the determining a target unit in the classified unit set according to the corresponding mid-rate difference of each unit comprises:
Acquiring a temporary difference threshold corresponding to the unit classification condition of the classified unit set;
and in the classified unit set, taking the unit with the medium rate difference value larger than the temporary difference threshold value as the target unit.
6. The method of claim 1, wherein said obtaining daily crew power generation for each of said crew members comprises:
acquiring the installed capacity of the power plant to be detected and the daily maximum power generation duration of the unit;
and determining the daily unit generating capacity of the unit according to the installed capacity of the power plant to be detected and the daily maximum generating time of the unit.
7. The method according to claim 6, wherein the determining the daily unit power generation amount of the unit according to the installed capacity of the power plant to be detected and the daily maximum power generation time of the unit comprises:
determining the rated active power of the unit according to the installed capacity of the power plant to be detected;
and calculating the product of the rated active power of the unit and the maximum daily generating time as the daily unit generating capacity of the unit.
8. An apparatus for detecting economic persistence of a unit, the apparatus comprising:
The classification module is used for classifying the units in the power plant to be detected according to preset unit classification conditions to obtain a classified unit set;
the acquisition module is used for acquiring the daily and medium standard generating capacity of each unit and the daily unit generating capacity of each unit aiming at each unit in the classified unit set;
the determining module is used for respectively determining the corresponding winning rate characteristics of each unit; the medium rate characteristic is obtained according to the ratio of the daily medium standard generating capacity of the unit to the daily unit generating capacity of the unit;
the detection module is used for determining a target unit in the classified unit set according to the medium-rate characteristics corresponding to the units; the difference degree between the medium-rate features corresponding to the target unit and the medium-rate features corresponding to the units meets a preset condition; the target unit is used for monitoring economic retention behaviors in the electric power market by users.
9. A computer device comprising a memory and a processor, the memory storing a computer program, wherein the processor implements the steps of the method of any one of claims 1 to 7 when executing the computer program.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 7.
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