CN114792249A - Method and device for determining retention behavior in electric power spot market and electronic equipment - Google Patents
Method and device for determining retention behavior in electric power spot market and electronic equipment Download PDFInfo
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Abstract
The application provides a method, a device and electronic equipment for determining a retention behavior in a power spot market, wherein the method comprises the following steps: acquiring quoted price data information of each power generator in the electric power spot market; performing data testing on each power generator based on the quoted data information to obtain a data testing index value of each power generator; the data test comprises any two of a lener index test, a residual supply rate index test and a behavior influence test; and determining whether the power generators have retention behaviors or not according to the data test index values of the power generators. According to the scheme, whether the power generator persists or not can be accurately determined based on the data test index value of each power generator, and damage to the market caused by the persisting behavior of the power generator is avoided.
Description
Technical Field
The present application relates to the field of power market technologies, and in particular, to a method and an apparatus for determining a retention behavior in a power spot market, and an electronic device.
Background
The electric power market force manipulation means that a generator improperly carries out market competition by using own market force, so that the competition efficiency of the electric power market is seriously damaged, and the benefits of other market members are influenced. The electric power market force control comprises a retention behavior, the retention behavior comprises physical retention and economic retention, and the retention behaviors of most power generators belong to the economic retention.
In order to guarantee fair competition and steady development of the power market, how to accurately determine the retention behavior of a generator is an urgent problem to be solved in the power market.
Disclosure of Invention
The application provides a method and a device for determining a retention behavior in a power spot market and electronic equipment.
According to a first aspect of the present application, there is provided a method of determining retention behaviour in an electric power spot market, comprising:
acquiring quoted price data information of each power generator in the electric power spot market;
carrying out data test on each power generator based on the quoted price data information to obtain a data test index value of each power generator; the data test comprises any two of a lener index test, a residual supply rate index test and a behavior influence test;
and determining whether the power generators have retention behaviors or not according to the data test index values of the power generators.
In some embodiments of the present application, the data tests include a lener index test and a remaining supply rate index test; the step of performing data test on each power generator based on the quoted price data information to obtain a data test index value of each power generator comprises the following steps:
acquiring marginal cost of each power generator, power generation capacity of each power generator, market clearing price and total market load demand based on the quoted price data information;
acquiring the lener index value of each power generator according to the marginal cost of each power generator and the market clearing price;
obtaining the index value of the residual supply rate of each power generator according to the power generation capacity of each power generator and the total market load demand;
and determining the data test index value of each power generator according to the Lener index value and the residual supply rate index value of each power generator.
In other embodiments of the present application, the data tests include a lener index test and a behavioral impact test; the step of performing data test on each power generator based on the quoted price data information to obtain a data test index value of each power generator comprises the following steps:
acquiring marginal cost of each power generator, actual quotation of each power generator, market clearing price and market benchmark quotation based on the quotation data information;
obtaining the Lener index value of each power generator according to the marginal cost of each power generator and the market clearing price;
acquiring a behavior influence test value of each generator according to the actual quotation of each generator and the market benchmark quotation;
and determining the data test index value of each power generator according to the Lener index value and the behavior influence test value of each power generator.
In still other embodiments of the present application, the data testing includes a remaining supply rate index test and a behavioral impact test; the step of performing data test on each power generator based on the quoted price data information to obtain a data test index value of each power generator comprises the following steps:
acquiring the power generation capacity of each power generator, the actual quotation of each power generator, the total market load demand and the market standard quotation based on the quotation data information;
obtaining the index value of the residual supply rate of each power generator according to the power generation capacity of each power generator and the total market load demand;
acquiring a behavior influence test value of each power generator according to the actual quotation and the market benchmark quotation of each power generator;
and determining the data test index of each power generator according to the residual supply rate index value and the behavior influence test value of each power generator.
As an embodiment, the determining whether the retention behavior exists for each power generator according to the data test index value of each power generator includes:
respectively comparing the data test index values of the power generators with preset thresholds to determine whether the power generators have retention behaviors; and the generator with the data test index value exceeding a preset threshold has a retention behavior.
According to a second aspect of the present application, there is provided an apparatus for determining retention behavior in a power spot market, comprising:
the first acquisition module is used for acquiring quoted price data information of each power generator in the electric power spot market;
the second acquisition module is used for carrying out data test on each power generator based on the quoted data information to obtain a data test index value of each power generator; the data test comprises any two of a lener index test, a residual supply rate index test and a behavior influence test;
and the determining module is used for determining whether the power generators have the retention behavior according to the data test index values of the power generators.
In some embodiments of the present application, the data tests include a lener index test and a remaining supply rate index test; the second acquisition module includes:
acquiring marginal cost of each power generator, power generation capacity of each power generator, market clearing price and total market load demand based on the quoted price data information;
acquiring the Lener index value of each power generator according to the marginal cost of each power generator and the market clearing price;
obtaining a residual supply rate index value of each power generator according to the power generation capacity of each power generator and the total market load demand;
and determining the data test index value of each power generator according to the Lener index value and the residual supply rate index value of each power generator.
In other embodiments of the present application, the data tests include a lener index test and a behavioral impact test; the second obtaining module is specifically configured to:
acquiring marginal cost of each power generator, actual quotation of each power generator, market clearing price and market benchmark quotation based on the quotation data information;
acquiring the lener index value of each power generator according to the marginal cost of each power generator and the market clearing price;
acquiring a behavior influence test value of each generator according to the actual quotation of each generator and the market benchmark quotation;
and determining the data test index value of each power generator according to the Lener index value and the behavior influence test value of each power generator.
In still other embodiments of the present application, the data tests include a remaining supply rate index test and a behavioral impact test; the second obtaining module is specifically configured to:
acquiring the power generation capacity of each power generator, the actual quotation of each power generator, the total market load demand and the market benchmark quotation based on the quotation data information;
obtaining the index value of the residual supply rate of each power generator according to the power generation capacity of each power generator and the total market load demand;
acquiring a behavior influence test value of each power generator according to the actual quotation and the market benchmark quotation of each power generator;
and determining the data test index of each power generator according to the residual supply rate index value and the behavior influence test value of each power generator.
As an embodiment, the determining module is specifically configured to:
respectively comparing the data test index values of the power generators with preset thresholds to determine whether the power generators have retention behaviors; and the generator with the data test index value exceeding a preset threshold has a retention behavior.
According to a third aspect of the present application, there is provided an electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the method of the first aspect when executing the computer program.
According to a fourth aspect of the present application, there is provided a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the method of the first aspect described above.
According to the technical scheme, the quotation data information of each power generator in the electric power spot market is obtained, any two tests of the Lener index test, the residual supply rate index test and the behavior influence test are carried out on each power generator according to the quotation data information, so that the data test index value of each power generator is obtained, and whether the retention behavior exists in each power generator is determined according to the data test index value of each power generator, so that the retention behavior of the power generator can be accurately identified, the damage to the market caused by the retention behavior of the power generator is avoided, and the benign competition and stable operation of the electric power market are ensured.
Additional aspects and advantages of the present application will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the present application.
Drawings
The foregoing and/or additional aspects and advantages of the present application will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
fig. 1 is a flowchart of a method for determining a retention behavior in a power spot market according to an embodiment of the present disclosure;
FIG. 2 is a flow chart of another method for determining holdover behavior in a power spot market provided by an embodiment of the present application;
FIG. 3 is a flow chart of yet another method for determining holdup behavior in a power spot market provided by an embodiment of the present application;
fig. 4 is a block diagram illustrating a structure of a device for determining a retention behavior in a power spot market according to an embodiment of the present disclosure;
fig. 5 is a block diagram of an electronic device according to an embodiment of the present disclosure.
Detailed Description
Reference will now be made in detail to the embodiments of the present application, examples of which are illustrated in the accompanying drawings, wherein like reference numerals refer to the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the drawings are exemplary and intended to be used for explaining the present application and should not be construed as limiting the present application.
It should be noted that the price quoted by the generator is one of the main factors in the price formation of the electric power market, and is also the main source of market force manipulation. From the historical experience of electric power marketization worldwide, the retention behavior of the power generator can cause low production efficiency and configuration efficiency, cause meaningless social welfare loss, reduce market competition efficiency and even endanger safe operation and reliable power supply of a power grid.
It should also be noted that, in general, electric power market force operation mainly refers to the retention behavior of the power generator, wherein the retention behavior includes physical retention and economic retention. Physical retention means that a generator retains part of generating capacity and does not participate in the market, thereby causing supply shortage, improving market price and obtaining excess economic benefit. For example, a generator may reserve a portion of its power generation capacity as a result of a generator unit outage or as a result of a reduction in available capacity due to service. Generally, the physical retention behavior of the generator is easier to judge, and only the actual bid capacity is compared with the rated capacity of the generator set, or the judgment is carried out according to whether the generator set is overhauled according to an overhaul plan. The test point construction area of the domestic electric power spot market adopts a full-electric-quantity declared bidding mode, and the problem of physical persistence of a power generator is solved to a great extent.
The economic retention refers to that a generator reports a high price to partial capacity when in quotation, the partial capacity is intentionally not bid, and actual capacity supply is reduced. The economic persistence is embodied in the bidding behavior of the power generator, and different bidding strategies of the power generator are not consistent, so that quantitative analysis cannot be carried out. The form of the economic retention of the generator is more concealed and difficult to identify than the form of the physical retention. Most generator retention activities belong to economic retention in electricity market bidding. Therefore, how to accurately identify the economic persistence of the power generator is an important content for solving the problem of the persistence behavior of the power generator.
In order to solve the above problems, the present application provides a method, an apparatus, and an electronic device for determining a retention behavior in a power spot market.
Fig. 1 is a flowchart of a method for determining retention behaviors in a power spot market according to an embodiment of the present disclosure. It should be noted that the method for determining the retention behavior in the power spot market in the embodiment of the present application may be used in the determination device for determining the retention behavior in the power spot market in the embodiment of the present application, and the determination device for determining the retention behavior in the power spot market in the embodiment of the present application may be configured in the electronic device. As shown in fig. 1, the method may include the steps of:
In some embodiments of the present application, the quoted data information of each generator in the electricity spot market may include an actual quoted price of each generator, a power generation capacity of each generator, a market total load demand, and the like, and the quoted data information of each generator may be real-time data information or quoted data information in a past period, which may be determined according to an actual application scenario, and the present application is not limited thereto. In addition, because the quotation forms of the generators are different, the obtained quotation data information can be aggregated quotation information of the generators or quotation data information of the generator sets of the generators.
In the embodiment of the application, the quotation data information of each power generator in the electric power spot market can be acquired through modes of grabbing, inputting, interface adjusting and the like. As an example, the manner of acquiring quote data information of each power generator in the electric power spot market may include: capturing data information in the electric power transaction system regularly or in real time; and cleaning the captured data information to obtain the quotation data information of each power generator. As another example, a user may enter corresponding power generation merchant price data information through an interactive interface of an information entry system in the terminal device, so that the corresponding power generation merchant price data information may be acquired by receiving data information submitted in the information entry system. As still another example, the quoted data information of each power generator is read periodically or in real time by acquiring the read authority of the corresponding data in the market exchange and using the corresponding data read interface.
In some embodiments of the present application, the lener index test refers to measuring the level of monopoly of each generator by the degree of deviation of the marginal cost of each generator from the market price. The remaining supply rate index test evaluates the importance of each generator to market demand based on total market load demand. Therefore, the data test index value of each power generator in the embodiment of the application not only can represent the monopoly level of each power generator, but also can represent the importance of each power generator to market demand. In addition, the lener index test and the remaining supply rate index test in the embodiment of the present application may be performed based on real-time data of each power generator, or may be performed based on historical quoted price data of each power generator in a preset time period range.
In some embodiments of the present application, performing a data test on each power generator based on the quoted data information, and implementing the obtaining of the data test index value of each power generator may include the following steps:
and 102-1, acquiring the marginal cost of each power generator, the power generation capacity of each power generator, the market clearing price and the total market load demand based on the quoted price data information.
In some embodiments of the present application, the marginal cost of each power generator may be obtained directly based on the quote data information, or may be calculated based on the quote data information of each power generator. The power generation capacity of each power generator refers to the power generation capacity declared by each power generator in the power trading market. The market total load demand refers to the total electric quantity required by the market published in the electric power trading market, and the data can be real-time latest data or the total electric quantity required by the market published in different time periods. The market clearing price refers to the latest market clearing price published in the electricity trading market, and may also refer to the market clearing prices at different time periods.
And step 102-2, acquiring the lener index value of each power generator according to the marginal cost and the market clearing price of each power generator.
In some embodiments of the present application, for day-ahead and day-inside trading markets, both the marginal cost and the market clearing price of each generator are data obtained in real time according to the current time. The lener index value of each power generator can be obtained by using the following formula (1) according to the marginal cost and the market clearing price of each power generator.
Wherein LI is i Is the Loner index value of the generator i, P is the market clearing price, MC i The marginal cost of the generator i.
It should be noted that, in an ideal market, the lenr index value of the power generator is 0, and in a general market, the lenr index value of the power generator is slightly larger than 0, but if the lenr index value of the power generator is too high, it indicates that the power generator may have a retention behavior.
In other embodiments of the present application, for the medium and long term trading market, the marginal cost and the market clearing price of each power generator are data obtained in different time periods within a preset time period range, and if the quotation of the power generator is in a form of aggregation, for each power generator, the marginal cost and the market clearing price of the power generator in each time period can be respectively used, and formula (1) is adopted to obtain the lener index values of the power generator in different time periods; and averaging the lener index values of the power generator in different time periods to obtain the average lener index value of the power generator in a preset time period range.
In still other embodiments of the present application, if the quoted price of the power generator is in the form of a unit, the lener index value of each unit can also be obtained by using formula (1) according to the marginal cost and the market clearing price of each unit. Wherein, in this case, LI in the formula (1) i Is the Lener index value, MC, of unit i i The marginal cost of unit i.
And 102-3, acquiring the residual supply rate index value of each power generator according to the total load demand of the power generation capacity market of each power generator.
In some embodiments of the present application, for the day-ahead and day-inside trading markets, both the market total load demand and the power generation capacity of each power generator are data obtained in real time according to the current time. The index value of the residual supply rate of each power generator can be obtained by adopting a second formula according to the total market load demand and the power generation capacity of each power generator; wherein the second formula is represented as formula (2):
wherein RSI i Providing the remaining power index value, sigma, for the generator i j＝1，j≠i q j The power generation capacity of the power generator i is subtracted from the total power generation capacity of each power generator, and D is the market total load demand.
It will be appreciated that the smaller the value of the remaining supply rate index for a generator, the greater its ability to control market electricity prices, and the more likely it is to collude bidding to drive up market clearing prices in conjunction with other generators to obtain excess profits. When the remaining supply index value of the generator is less than 1, which indicates that the supply of the generator is lacked, the generator cannot meet the requirement of the market, and at this time, the generator has complete control over the market price.
In other embodiments of the present application, for the medium and long term market, the total market load demand and the power generation capacity of each power generator are both data of different time periods acquired within a preset time period range. Aiming at each power generator, the market total load demand at each time interval and the power generation capacity of the power generator can be respectively utilized, and the remaining supply rate index values of the power generator at different time intervals are obtained by adopting a formula (2); and averaging the residual supply rate index values of the power generator in different time periods to obtain the average residual supply rate index value of the power generator within the preset time period range.
In still other embodiments of the present application, if the quoted price of the power generator is in the form of a unit, the remaining supply rate index value of each unit can also be obtained by using formula (2) according to the total market load demand and the power generation capacity of each unit. Wherein RSI in formula (2) at this time i The remaining supply rate index value, sigma, for unit i j＝1，j≠i q j The generating capacity of the unit i is subtracted from the total generating capacity of each unit.
And step 102-4, determining a data test index value of each power generator according to the Lehner index value and the residual supply rate index value of each power generator.
It can be understood that the lenr index value of the power generator can reflect the monopoly level of the power generator, and the larger the lenr index value is, the more the marginal cost of the power generator deviates from the market price, that is, the power generator may have a staying behavior. The remaining supply rate index value of the power generator can represent the importance of the power generator to market demand, and if the proportion of the power generation capacity declared by a certain power generator to the total load demand of the market is high, so that the power generator lacks the supply of the power generator and cannot meet the market load demand, the importance of the power generator to the market demand is high.
In some embodiments of the present application, for day-ahead and day-inside trading markets, for each power generator, the real-time lener index value and the real-time remaining supply rate index value of the power generator may be weighted and summed, and the result of the weighted summation may be used as the data test index value of the power generator. The real-time Leiner index value of the power generator and the real-time residual supply rate index value are multiplied, and the multiplied result is used as the data test index value of the power generator. The data test index value of each power generator can represent the monopoly capacity of each power generator and the importance degree of each power generator through other processing modes.
In other embodiments of the present application, for the medium and long term trading market, for each power generator, the average lener index value and the average remaining supply rate index value of the power generator within a preset time period range are subjected to weighted summation, and the result of the weighted summation is used as the data test index value of the power generator. The average lener index value and the average remaining supply rate index value of the power generator within a preset time period range can also be multiplied, and the multiplied result is used as the data test index value of the power generator. The data test index value of the power generator can be obtained through other processing modes.
In still other embodiments of the present application, if the quoted price of the power generator is in a unit form, the data test index value of each unit may be determined according to the lenr index value and the remaining supply rate index value of each unit.
And 103, determining whether the power generators have a persistence behavior according to the data test index values of the power generators.
In the embodiment of the application, the data test index value of each power generator can represent the monopoly capacity of each power generator and the importance degree of each power generator, so that whether each power generator has a persistence behavior or not can be determined according to the data test index value of each power generator.
In some embodiments of the present application, it may be determined whether each power generator has a persistence behavior by comparing the data test index value of each power generator with a first preset threshold, respectively; and the retention behavior exists for the power generator with the data test index value exceeding a first preset threshold. The first preset threshold may be input by a user interaction interface of the electronic device after the historical data and the relevant data of the electricity trading market are obtained by relevant workers.
In other embodiments of the application, if the quotation of the power generator is in a unit form, whether the unit has a retention behavior or not can be determined by respectively comparing the data test index value of each unit with a second preset threshold; and the retention behavior exists in the unit of which the data test index value exceeds a second preset threshold value. The second preset threshold may be input by the relevant staff through a user interaction interface of the electronic device after obtaining historical data and relevant data based on the power trading market.
According to the method for determining the retention behavior in the electric power spot market, quoted data information of each power generator in the electric power spot market is obtained, the Lener index test and the residual supply rate index test are carried out on each power generator according to the quoted data information, the data test index value of each power generator is obtained, and whether the retention behavior exists in each power generator is determined according to the data test index value of each power generator, so that the retention behavior of the power generator can be accurately identified, and the damage to the market caused by the retention behavior of the power generator is avoided. Meanwhile, the method can be used as a reference basis for day-ahead and day-in trading markets and also can be used as a reference basis for medium-long term trading markets, so that benign competition and stable operation of the power market are guaranteed.
Fig. 2 is a flowchart of another method for determining retention behavior in a power spot market according to an embodiment of the present disclosure. As shown in fig. 2, the method comprises the steps of:
In some embodiments of the present application, the lener index test refers to measuring the monopoly level of each generator by using the degree of deviation of the marginal cost of each generator from the market price. The behavioral impact test is used to characterize the degree of deviation of each generator's quote from a baseline quote over a preset time period. Therefore, the data test index value of each power generator in the embodiment of the application can represent the monopoly force level of each power generator and can also represent the deviation degree of the quoted price of each power generator and the reference quoted price. In addition, the lenr index test in the embodiment of the present application may be performed based on real-time data of each power generator, or may be performed based on historical quoted price data of each power generator within a preset time period. The behavioral impact test is performed based on historical quote data for each generator over a preset time period.
In some embodiments of the present application, performing a data test on each power generator based on the quoted data information, and implementing the obtaining of the data test index value of each power generator may include the following steps:
step 202-1, acquiring marginal cost of each power generator, actual quotation of each power generator, market clearing price and market benchmark quotation based on the quotation data information.
In some embodiments of the present application, the marginal cost of each power generator may be obtained directly based on the quote data information, or may be calculated based on the quote data information of each power generator. The actual quotes of the generators refer to actual quotes of the generators at different time periods published by the electricity trading market. The market reference quotes refer to reference quotes published in the electric power trading market at different time periods. The market clearing price refers to the latest market clearing price published in the electricity trading market, and may also refer to market clearing prices at different time periods.
And step 202-2, acquiring the lener index value of each power generator according to the marginal cost and the market clearing price of each power generator.
The implementation manner of this step is consistent with that of step 102-2 in fig. 1, and is not described here again.
And step 202-3, acquiring behavior influence test values of the power generators according to actual quotations and market standard quotations of the power generators.
In some embodiments of the present application, the actual quote and the market benchmark quote for each generator are data for different time periods within a preset time period range. The behavior impact test factor value of each generator in each time period can be obtained by using the following formula (3) according to the actual quoted price and the market standard quoted price of each generator, and the behavior impact test factor value of each generator can be obtained based on the behavior impact test factor value of each generator in each time period.
Wherein, a i The factor values are tested for the behavioral impact of the generator i during period j,
for the actual quote of the generator i during period j, P re And (5) quoted prices for market benchmarks.
That is, the performance impact test value of the generator is obtained based on the performance impact test factor value of the generator over a historical period of time, i.e., the performance impact test value of the generator may characterize how far the actual quote of the generator deviates from the market benchmark quote over a period of time. If the actual price of the generator is higher than the market standard price for a period of time, the situation indicates that the generator may have retention behavior.
In the embodiment of the present application, based on the behavior impact test factor value of each power generator in each time period, the implementation manner of obtaining the behavior impact test value of each power generator may be: for each power generator, an average value or a variance value of the behavior impact test factor values of the power generator in each time period can be calculated, and the obtained average value or variance value is used as the behavior impact test value of the power generator.
As an example, if the preset time period is 10 days, the market standard quotation of each time period within 10 days and the actual quotation of each generator in each time period within the 10 days can be obtained; for each power generator, the influence test factor value of each power generator in each time period within 10 days can be respectively calculated according to a formula (3); and averaging and calculating the influence test factors of the generator in each period within 10 days to obtain the behavior influence test value of the generator within the 10 days.
In further embodiments of the present application, if the quotation of the power generator is in the form of a unit, the behavior impact test factor value of each unit in each time period may be obtained by using formula (3) according to the market standard quotation within the preset time period and the actual quotation of each unit, and the behavior impact test factor value of each unit may be obtained based on the behavior impact test factor value of each unit in each time period. In this case, a in the formula (3) ij Testing the factor value for the behavior influence of the unit i in the period j,
and (4) actual quotation of the unit i in the period j.
Step 202-4, determining data test index values of the power generators according to the Leiner index values and the behavior influence test values of the power generators.
It can be understood that the lenr index value of the power generator can reflect the monopoly level of the power generator, and the larger the lenr index value is, the more the marginal cost of the power generator deviates from the market price, that is, the power generator may have a staying behavior. The behavior influence test value of the power generator can represent the deviation trend of the actual quoted price and the reference quoted price of the power generator within a period of time, and if the actual quoted price is higher than the reference quoted price continuously in a period of time, the situation indicates that the power generator possibly has a persistence behavior.
In some embodiments of the present application, for the day-ahead and day-inside trading markets, for each power generator, the real-time lener index value of the power generator and the behavior impact test value in the corresponding time period range may be subjected to weighted summation, and a result of the weighted summation is used as the data test index value of the power generator. The real-time Leiner index value of the power generator is multiplied by the behavior influence test value in the corresponding time period range, and the multiplied result is used as the data test index value of the power generator. The data test index value of each power generator can not only represent monopoly capacity of each power generator, but also represent deviation degree of quoted price and market price of each power generator.
In other embodiments of the present application, for the medium and long term trading market, for each power generator, the average lener index value of the power generator in a preset time period range and the behavior influence test value in the time period range are subjected to weighted summation, and the result of the weighted summation is used as the data test index value of the power generator. The average lener index value of the power generator in a preset time period range and the behavior influence test value in the time period range are multiplied, and the multiplied result is used as the data test index value of the power generator. The data test index value of the power generator can be obtained through other processing modes.
In still other embodiments of the present application, if the quoted price of the power generator is in a unit form, the data test index value of each unit may be determined according to the lenr index value and the behavior impact test value of each unit.
And step 203, determining whether the power generators have a persistence behavior according to the data test index values of the power generators.
In the embodiment of the application, the data test index value of each power generator can represent the monopoly capacity of each power generator and can also represent the deviation degree of the quoted price and the market price of each power generator, so that whether the retention behavior exists in each power generator can be determined according to the data test index value of each power generator.
In some embodiments of the present application, it may be determined whether each power generator has a persistence behavior by comparing the data test index value of each power generator with a third preset threshold, respectively; and the retention behavior exists in the power generator with the data test index value exceeding a third preset threshold. The third preset threshold may be input by the relevant staff through a user interaction interface of the electronic device after obtaining historical data and relevant data based on the electricity trading market.
In other embodiments of the present application, if the quoted price of the power generator is in a unit form, it may be determined whether each unit has a retention behavior by comparing the data test index value of each unit with a fourth preset threshold value, respectively; and the retention behavior exists in the unit with the data test index value exceeding a fourth preset threshold value. The fourth preset threshold may be input by the relevant staff through a user interaction interface of the electronic device after obtaining historical data and relevant data based on the power trading market.
According to the method for determining the retention behavior in the electric power spot market, the quotation data information of each power generator in the electric power spot market is obtained, and the Lener index test and the behavior influence test are carried out on each power generator according to the quotation data information to obtain the data test index value of each power generator, so that the data test index value of each power generator can represent the monopoly capacity of each power generator and can also represent the deviation degree of the quotation and the market price of each power generator, the retention behavior of each power generator can be accurately identified, and the harm to the market caused by the retention behavior of each power generator is avoided. Meanwhile, the method can be used as a reference basis for day-ahead and day-in trading markets and also can be used as a reference basis for medium-long term trading markets, so that benign competition and stable operation of the power market are guaranteed.
Fig. 3 is a flowchart of another method for determining a retention behavior in a power spot market according to an embodiment of the present disclosure. As shown in fig. 3, the method comprises the steps of:
In some embodiments of the present application, the remaining supply rate index test evaluates the importance of each generator to market demand based on total market load demand. The behavioral impact test may characterize a trend in deviation of an actual quote from a baseline quote for a period of time for a power generator. In addition, the remaining supply rate index test in the embodiment of the present application may be performed based on real-time data of each power generator, or may be performed based on historical quote data of each power generator within a preset time period. The behavioral impact test is performed based on historical quote data for each generator over a preset time period.
In some embodiments of the present application, performing a data test on each power generator based on the quoted data information, and implementing the obtaining of the data test index value of each power generator may include the following steps:
and step 302-1, acquiring the power generation capacity of each power generator, the actual quotation of each power generator, the market total load demand and the market standard quotation based on the quotation data information.
In some embodiments of the present application, the actual quote of each generator refers to the actual quote of each generator at different time periods published by the electricity trading market. The power generation capacity of each power generator refers to the power generation capacity declared by each power generator in the power trading market. The market total load demand refers to the total electric quantity required by the market published in the electric power trading market, and the data can be real-time latest data or the total electric quantity required by the market published in different time periods. The market reference quotes refer to reference quotes for different periods published in the electric power trading market.
And step 302-2, acquiring the residual supply rate index value of each power generator according to the power generation capacity of each power generator and the total market load demand.
The implementation manner of this step is consistent with that of step 102-3 in fig. 1, and is not described herein again.
And step 302-3, acquiring behavior influence test values of the generators according to actual quotations and market standard quotations of the generators.
The implementation of this step is the same as the implementation of step 202-3 in fig. 2, and is not described here again.
And step 302-4, determining the data test index of each power generator according to the residual supply rate index value and the behavior influence test value of each power generator.
It can be understood that the remaining supply rate index value of the power generator can represent the importance of the power generator to the market demand, and if the specific gravity of the power generation capacity declared by a certain power generator to the total load demand of the market is higher, so that the market load demand cannot be met due to the lack of the supply of the power generator, the importance of the power generator to the market demand is higher. The behavior influence test value can represent the deviation trend of the actual quoted price and the reference quoted price of the power generator in a period of time, and if the actual quoted price is higher than the reference quoted price continuously in a period of time, the situation shows that the power generator possibly has a retention behavior.
In some embodiments of the present application, for the day-ahead and day-inside trading markets, for each power generator, the real-time remaining supply rate index value of the power generator and the behavior impact test value within the corresponding time period range may be subjected to weighted summation, and the result of the weighted summation is taken as the data test index value of the power generator. The real-time remaining supply rate index value of the power generator can be multiplied by the behavior influence test value in the corresponding time period range, and the multiplied result is used as the data test index value of the power generator. The data test index value of each power generator can represent the importance degree of each power generator to market demand and the deviation degree of the quoted price of each power generator from the market price.
In other embodiments of the present application, for the medium and long term market, for each power generator, the average remaining supply rate index value of the power generator in a preset time period range and the behavior influence test value of the power generator in the time period range are subjected to weighted summation, and the result of the weighted summation is used as the data test index value of the power generator. The average remaining supply rate index value of the power generator in a preset time period range and the behavior influence test value in the time period range are multiplied, and the multiplied result is used as the data test index value of the power generator. The data test index value of the power generator can be obtained through other processing modes.
In still other embodiments of the present application, if the quote of the power generator is in the form of a unit, the data test index value of each unit may be determined according to the remaining supply rate index value and the behavior impact test value of each unit.
And step 303, determining whether each power generator has a retention behavior according to the data test index value of each power generator.
In the embodiment of the application, the data test index value of each power generator can represent the importance degree of each power generator to market demand, and can also represent the deviation degree of the quotation and the market price of each power generator within a period of time, so that whether the power generator has a persistence behavior or not can be determined according to the data test index value of each power generator.
In some embodiments of the present application, it may be determined whether each power generator has a persistence behavior by comparing the data test index value of each power generator with a fifth preset threshold, respectively; and the retention behavior exists in the power generator with the data test index value exceeding a fifth preset threshold. The fifth preset threshold may be input by a user interaction interface of the electronic device after the historical data and the related data of the power trading market are obtained by the related staff.
In other embodiments of the present application, if the quoted price of the power generator is in a unit form, it may be determined whether each unit has a retention behavior by comparing the data test index value of each unit with a sixth preset threshold value, respectively; and the retention behavior exists in the unit with the data test index value exceeding a sixth preset threshold value. The sixth preset threshold may be input by a user interaction interface of the electronic device after the historical data and the related data of the power trading market are obtained by the related staff.
According to the method for determining the retention behavior in the electric power spot market, the quotation data information of each power generator in the electric power spot market is obtained, the residual supply rate index test and the behavior influence test are carried out on each power generator according to the quotation data information, the data test index value of each power generator is obtained, the data test index value of each power generator can represent the importance degree of each power generator for market demands, and the deviation degree of quotation and market price of each power generator in a preset time range can also be represented, so that the retention behavior of the power generator can be accurately identified, and the damage to the market caused by the retention behavior of the power generator is avoided. Meanwhile, the method can be used as a reference basis for day-ahead and day-inside trading markets and also can be used as a reference basis for medium-and-long-term trading markets, and good competition and stable operation of the power market are guaranteed.
In order to achieve the above embodiments, the present application provides a determination device of a retention behavior in an electric power spot market.
Fig. 4 is a block diagram illustrating a structure of a device for determining a retention behavior in an electric power spot market according to an embodiment of the present application. As shown in fig. 4, the apparatus includes:
a first obtaining module 401, configured to obtain quoted price data information of each power generator in the electric power spot market;
a second obtaining module 402, configured to perform data testing on each power generator based on the quoted data information, and obtain a data test index value of each power generator; the data test comprises any two of a Lener index test, a residual supply rate index test and a behavior influence test;
the determining module 403 is configured to determine whether each power generator has a retention behavior according to the data test index value of each power generator.
In some embodiments of the present application, the data tests include a lener index test and a remaining supply rate index test; the second obtaining module 402 includes:
acquiring marginal cost of each power generator, power generation capacity of each power generator, market clearing price and total market load demand based on quoted price data information;
acquiring a Lener index value of each power generator according to the marginal cost and the market clearing price of each power generator;
obtaining a residual supply rate index value of each power generator according to the power generation capacity of each power generator and the total market load demand;
and determining the data test index value of each power generator according to the Lener index value and the residual supply rate index value of each power generator.
In other embodiments of the present application, the data tests include a lenr index test and a behavioral impact test; the second obtaining module 402 is specifically configured to:
acquiring marginal cost of each power generator, actual quotation of each power generator, market clearing price and market benchmark quotation based on the quotation data information;
acquiring the Lener index value of each power generator according to the marginal cost and the market clearing price of each power generator;
acquiring a behavior influence test value of each power generator according to the actual quotation and the market benchmark quotation of each power generator;
and determining the data test index value of each power generator according to the Lener index value and the behavior influence test value of each power generator.
In still other embodiments of the present application, the data testing includes a remaining supply rate index test and a behavioral impact test; the second obtaining module 402 is specifically configured to:
acquiring the power generation capacity of each power generator, the actual quotation of each power generator, the total market load demand and the market benchmark quotation based on the quotation data information;
obtaining a residual supply rate index value of each power generator according to the power generation capacity of each power generator and the total market load demand;
acquiring a behavior influence test value of each generator according to the actual quotation and market standard quotation of each generator;
and determining the data test index of each power generator according to the residual supply rate index value and the behavior influence test value of each power generator.
As an embodiment, the determining module 403 is specifically configured to:
respectively comparing the data test index values of the power generators with preset thresholds to determine whether the power generators have retention behaviors; and the retention behavior exists in the power generator with the data test index value exceeding the preset threshold.
According to the device for determining the retention behavior in the electric power spot market, which is provided by the embodiment of the application, the quotation data information of each power generator in the electric power spot market is obtained, any two tests of the Lener index test, the residual supply rate index test and the behavior influence test are carried out on each power generator according to the quotation data information, the data test index value of each power generator is obtained, and whether the retention behavior exists in each power generator is determined according to the data test index value of each power generator, so that the retention behavior of the power generator can be accurately identified, the harm to the market caused by the retention behavior of the power generator is avoided, and the benign competition and stable operation of the electric power market are ensured.
Fig. 5 is a block diagram of an electronic device for implementing a method of determining holdover behavior in a power spot market according to an embodiment of the application. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be examples only, and are not meant to limit implementations of the present application that are described and/or claimed herein.
As shown in fig. 5, the electronic apparatus includes: a memory 510, a processor 520, and a computer program 530 stored on the memory and executable on the processor. The various components are interconnected using different buses and may be mounted on a common motherboard or in other manners as desired. The processor may process instructions for execution within the electronic device, including instructions stored in or on the memory to display graphical information of a GUI on an external input/output apparatus (such as a display device coupled to the interface). In other embodiments, multiple processors and/or multiple buses may be used, along with multiple memories and multiple memories, as desired. Also, multiple electronic devices may be connected, with each device providing portions of the necessary operations (e.g., as a server array, a group of blade servers, or a multi-processor system).
The memory 510, which is a non-transitory computer-readable storage medium, may be used to store non-transitory software programs, non-transitory computer-executable programs, and modules, such as program instructions/modules corresponding to the method for determining retention behavior in a power spot market in the embodiments of the present application (e.g., the first obtaining module 401, the second obtaining module 402, and the determining module 403 shown in fig. 4). The processor 520 implements the method of determining holdover behavior in the power spot market in the above-described method embodiments by executing non-transitory software programs, instructions, and modules stored in the memory 510 to perform various functional applications of the server and data processing.
The memory 510 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created from use of the electronic device to implement the method of determining retention behavior in the power spot market, and the like. Further, the memory 510 may include high speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, the memory 510 may optionally include memory located remotely from the processor 520, which may be connected via a network to an electronic device to implement a method of determining holdover behavior in a power spot market. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The electronic device to implement the method of determining retention behavior in a power spot market may further comprise: an input device 540 and an output device 550. The processor 520, the memory 510, the input device 540, and the output device 550 may be connected by a bus or other means, as exemplified by the bus connection in fig. 5.
The input device 540 may receive input numeric or character information and generate key signal inputs related to user settings and function controls of the electronic equipment to implement the method of determining retention behavior in the power spot market, such as input devices like a touch screen, a keypad, a mouse, a track pad, a touch pad, a pointer stick, one or more mouse buttons, a track ball, a joystick, etc. The output means 550 may include a display device, an auxiliary lighting means (e.g., an LED), a tactile feedback means (e.g., a vibration motor), and the like. The display device may include, but is not limited to, a Liquid Crystal Display (LCD), a Light Emitting Diode (LED) display, and a plasma display. In some implementations, the display device can be a touch screen.
In the description herein, reference to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the application. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or to implicitly indicate the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of the feature. In the description of the present application, "plurality" means at least two, e.g., two, three, etc., unless specifically limited otherwise.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing steps of a custom logic function or process, and alternate implementations are included within the scope of the preferred embodiment of the present application in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present application.
The logic and/or steps represented in the flowcharts or otherwise described herein, such as an ordered listing of executable instructions that can be considered to implement logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Further, the computer-readable medium could even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via for instance optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in a computer memory.
It should be understood that portions of the present application may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. If implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are well known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried out in the method of implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and the program, when executed, includes one or a combination of the steps of the method embodiments.
In addition, functional units in the embodiments of the present application may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a separate product, may also be stored in a computer-readable storage medium.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc. While embodiments of the present application have been shown and described above, it will be understood that the above embodiments are exemplary and should not be construed as limiting the present application and that changes, modifications, substitutions and alterations in the above embodiments may be made by those of ordinary skill in the art within the scope of the present application.
Claims (10)
1. A method of determining retention behavior in a power spot market, comprising:
acquiring quoted price data information of each power generator in the electric power spot market;
performing data testing on each power generator based on the quoted price data information to obtain a data testing index value of each power generator; the data test comprises any two of a lener index test, a residual supply rate index test and a behavior influence test;
and determining whether the power generators have retention behaviors or not according to the data test index values of the power generators.
2. The method of claim 1, wherein the data tests include a lener index test and a remaining supply rate index test; the step of performing data test on each power generator based on the quoted price data information to obtain a data test index value of each power generator comprises the following steps:
acquiring marginal cost of each power generator, power generation capacity of each power generator, market clearing price and total market load demand based on the quoted price data information;
acquiring the lener index value of each power generator according to the marginal cost of each power generator and the market clearing price;
obtaining a residual supply rate index value of each power generator according to the power generation capacity of each power generator and the total market load demand;
and determining the data test index value of each power generator according to the Lener index value and the residual supply rate index value of each power generator.
3. The method of claim 1, wherein the data tests include a lener index test and a behavioral impact test; the step of performing data test on each power generator based on the quoted price data information to obtain a data test index value of each power generator comprises the following steps:
acquiring marginal cost of each power generator, actual quotation of each power generator, market clearing price and market benchmark quotation based on the quotation data information;
obtaining the Lener index value of each power generator according to the marginal cost of each power generator and the market clearing price;
acquiring a behavior influence test value of each generator according to the actual quotation of each generator and the market benchmark quotation;
and determining the data test index value of each power generator according to the Lener index value and the behavior influence test value of each power generator.
4. The method of claim 1, wherein the data tests include a remaining supply rate index test and a behavioral impact test; the step of performing data test on each power generator based on the quoted price data information to obtain a data test index value of each power generator comprises the following steps:
acquiring the power generation capacity of each power generator, the actual quotation of each power generator, the total market load demand and the market benchmark quotation based on the quotation data information;
obtaining a residual supply rate index value of each power generator according to the power generation capacity of each power generator and the total market load demand;
acquiring a behavior influence test value of each power generator according to the actual quotation and the market benchmark quotation of each power generator;
and determining the data test index value of each power generator according to the residual supply rate index value and the behavior influence test value of each power generator.
5. The method of claim 1, wherein said determining whether said each power generator has a persisting behavior according to said each power generator's data test index value comprises:
respectively comparing the data test index values of the power generators with preset thresholds to determine whether the power generators have retention behaviors; and the retention behavior exists in the power generator with the data test index value exceeding a preset threshold value.
6. An apparatus for determining retention behavior in an electric power spot market, comprising:
the first acquisition module is used for acquiring quotation data information of each power generator in the electric power spot market;
the second acquisition module is used for carrying out data test on each power generator based on the quoted data information to obtain a data test index value of each power generator; the data test comprises any two of a lener index test, a residual supply rate index test and a behavior influence test;
and the determining module is used for determining whether the power generators have the persistence behaviors or not according to the data test index values of the power generators.
7. The apparatus of claim 6, wherein the data tests include a lener index test and a remaining supply rate index test; the second acquisition module comprises:
acquiring marginal cost of each power generator, power generation capacity of each power generator, market clearing price and total market load demand based on the quoted price data information;
acquiring the lener index value of each power generator according to the marginal cost of each power generator and the market clearing price;
obtaining a residual supply rate index value of each power generator according to the power generation capacity of each power generator and the total market load demand;
and determining the data test index value of each power generator according to the Lener index value and the residual supply rate index value of each power generator.
8. The apparatus of claim 6, wherein the data tests include a lener index test and a behavioral impact test; the second obtaining module is specifically configured to:
acquiring marginal cost of each power generator, actual quotation of each power generator, market clearing price and market benchmark quotation based on the quotation data information;
acquiring the lener index value of each power generator according to the marginal cost of each power generator and the market clearing price;
acquiring a behavior influence test value of each generator according to the actual quotation of each generator and the market benchmark quotation;
and determining the data test index value of each power generator according to the Lener index value and the behavior influence test value of each power generator.
9. An electronic device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor implementing the method of any one of claims 1 to 5 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 method according to any one of claims 1 to 5.
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