CN114782090A - Method and device for monitoring retention behavior in electric power spot market and electronic equipment - Google Patents

Method and device for monitoring retention behavior in electric power spot market and electronic equipment Download PDF

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CN114782090A
CN114782090A CN202210425734.9A CN202210425734A CN114782090A CN 114782090 A CN114782090 A CN 114782090A CN 202210425734 A CN202210425734 A CN 202210425734A CN 114782090 A CN114782090 A CN 114782090A
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power generator
market
index value
power
generator
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王鸿策
钟明
郭小江
安娜
申旭辉
石冠海
孙财新
李力
潘霄峰
张龙
赵瑞斌
杨宁
汤海雁
杨伯亨
秦猛
吴凡
李春华
王春森
关何格格
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Huaneng Clean Energy Research Institute
Huaneng Group Technology Innovation Center Co Ltd
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Huaneng Clean Energy Research Institute
Huaneng Group Technology Innovation Center Co Ltd
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    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G06Q30/0201—Market modelling; Market analysis; Collecting market data
    • G06Q30/0203—Market surveys; Market polls
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/06—Electricity, gas or water supply

Abstract

The application provides a method and a device for monitoring a retention behavior in a power spot market and electronic equipment, wherein the method comprises the following steps: acquiring quoted price data information of each power generator in the electric power spot market; acquiring a Lener index value, a residual supply rate index value and a behavior influence test value of each power generator based on the quoted price data information; and monitoring whether the power generators have retention behaviors or not according to the Lener index value, the residual supply rate index value and the behavior influence test value of each power generator. The scheme can accurately monitor the power generator with the retention behavior so as to ensure benign competition and stable operation of the power market.

Description

Method and device for monitoring retention behavior in electric power spot market and electronic equipment
Technical Field
The application relates to the technical field of power markets, in particular to a method and a device for monitoring a retention behavior in a power spot market and electronic equipment.
Background
Generally, electric power market force operation mainly refers to retention behaviors of a power generator, wherein the retention behaviors comprise physical retention and economic retention, and the economic retention of the power generator is more difficult to identify because the economic retention of the power generator is more concealed than the physical retention.
Generator quotes are one of the major factors in the development of electricity market prices and are a major source of market force management. From the historical experience of worldwide electric power marketization, the retention behavior of a power generator can cause low production efficiency and configuration efficiency, cause meaningless social welfare loss, reduce market competition efficiency and even endanger the safe operation and reliable power supply of a power grid.
Disclosure of Invention
The application provides a method and a device for monitoring 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 monitoring retention behaviour in an electric power spot market, comprising:
acquiring quoted price data information of each power generator in the electric power spot market;
acquiring a Lener index value, a residual supply rate index value and a behavior influence test value of each power generator based on the quoted price data information;
and monitoring whether the power generators have retention behaviors or not according to the Lener index value, the residual supply rate index value and the behavior influence test value of each power generator.
In some embodiments of the present application, the determining, based on the quote data information, a lenr index value, a remaining supply rate index value, and a behavior impact test value for each power generator includes:
acquiring marginal cost of each power generator, actual quotation of each power generator, power generation capacity of each power generator, market total load demand, market benchmark quotation and market clearing price 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 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.
In some embodiments of the present application, the obtaining the lener index value of each power generator according to the marginal cost of each power generator and the market clearing price includes:
acquiring the Lener index value of each power generator by adopting a first formula according to the marginal cost of each power generator and the market clearing price; wherein the first formula is represented as follows:
Figure BDA0003608439590000021
wherein LI isiLener index value for power generator i, P is the market clearing price, MCiMarginal cost for generator i;
the step of obtaining the behavior influence test value of each power generator according to the actual quotation and the market benchmark quotation of each power generator comprises the following steps:
acquiring behavior influence test factor values of the generators in different time periods by adopting a second formula according to the actual quotations and the market benchmark quotations of the generators, and acquiring the behavior influence test values of the generators based on the behavior influence test factor values of the generators in different time periods; wherein the second formula is expressed as follows:
Figure BDA0003608439590000031
wherein, aijThe factor values are tested for the behavioral impact of the generator i during period j,
Figure BDA0003608439590000032
for the actual quote of the generator i during period j, PreQuoted for the market benchmark;
the obtaining of the remaining supply rate index value of each power generator according to the power generation capacity of each power generator and the market total load demand comprises:
obtaining the index value of the residual supply rate of each power generator by adopting a third formula according to the power generation capacity of each power generator and the total market load demand; wherein the third formula is expressed as follows:
Figure BDA0003608439590000033
wherein RSIiProviding the remaining power index value, sigma, for the generator ij＝1，j≠i qjAnd subtracting the power generation capacity of the power generator i from the total power generation capacity of each power generator, and D is the total market load demand.
As an embodiment, the monitoring whether the retention behavior of each power generator exists according to the lenr index value, the remaining supply rate index value and the behavior impact test factor value of each power generator includes:
carrying out weighted summation on the Lener index value, the residual supply rate index value and the behavior influence test factor value of each power generator;
comparing the result of the weighted summation with a preset threshold value to monitor whether the retention behavior exists in each power generator; and the power generator with the weighted summation result exceeding the preset threshold has retention behavior.
According to a second aspect of the present application, there is provided a device for monitoring retention behaviour in the electricity 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 acquiring the Lener index value, the residual supply rate index value and the behavior influence test value of each power generator based on the quotation data information;
and the monitoring module is used for monitoring whether the retention behaviors exist in the power generators according to the Lener index value, the residual supply rate index value and the behavior influence test value of the power generators.
In some embodiments of the present application, the second obtaining module comprises:
a first obtaining unit, configured to obtain, based on the quoted price data information, a marginal cost of each power generator, an actual quoted price of each power generator, a power generation capacity of each power generator, a total market load demand, a market standard quote, and a market clearing price;
the second obtaining unit is used for obtaining the lenr index value of each power generator according to the marginal cost of each power generator and the market clearing price;
the third acquisition unit is used for acquiring the behavior influence test value of each power generator according to the actual quotation of each power generator and the market benchmark quotation;
and the fourth acquisition unit is used for 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.
As an embodiment, the second obtaining unit is specifically configured to:
acquiring the Lener index value of each power generator by adopting a first formula according to the marginal cost of each power generator and the market clearing price; wherein the first formula is expressed as follows:
Figure BDA0003608439590000041
wherein LI isiThe Lener index value of the generator i, P the market clearing price and MCi the marginal cost of the generator i;
the third obtaining unit is specifically configured to:
acquiring a behavior influence test factor value of each power generator in each time period by adopting a second formula according to the actual quotation and the market benchmark quotation of each power generator, and acquiring the behavior influence test value of each power generator based on the behavior influence test factor value of each power generator in each time period; wherein the second formula is expressed as follows:
Figure BDA0003608439590000051
wherein, aijThe factor values are tested for the behavioral impact of the generator i during period j,
Figure BDA0003608439590000052
actual quote for the Generator i during the j period, PreQuoted for the market benchmark;
the fourth obtaining unit is specifically configured to:
obtaining the index value of the residual supply rate of each power generator by adopting a third formula according to the power generation capacity of each power generator and the total market load demand; wherein the third formula is expressed as follows:
Figure BDA0003608439590000053
wherein RSIiProviding the remaining power index value, sigma, for the generator ij＝1，j≠i qjAnd subtracting the power generation capacity of the power generator i from the total power generation capacity of each power generator, and D is the total market load demand.
In some embodiments of the present application, the monitoring module is specifically configured to:
carrying out weighted summation on the Lener index value, the residual supply rate index value and the behavior influence test value of each power generator;
comparing the result of the weighted summation with a preset threshold value to monitor whether the retention behavior exists in each power generator; and the retention behavior exists for the power generator with the result of the weighted summation exceeding the preset threshold.
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, wherein the processor executes the computer program to implement the method of the first aspect.
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 lenr index value, the residual supply rate index value and the behavior influence test value of each power generator are obtained according to the quotation data information of each power generator in the electric power spot market, and whether the power generator has the retention behavior or not is monitored according to the lenr index value, the residual supply rate index value and the behavior influence test value of each power generator, so that the power generators with the retention behavior can be accurately monitored, the power generators are monitored, and the benign competition and stable operation of the electric power market are guaranteed.
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.
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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 monitoring a retention behavior in an electric power spot market according to an embodiment of the present disclosure;
FIG. 2 is a flow chart of another method for monitoring holdup behavior in the power spot market according to an embodiment of the present disclosure;
fig. 3 is a block diagram of a device for monitoring a retention behavior in an electric power spot market according to an embodiment of the present disclosure;
fig. 4 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 embodiments of the present application, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the accompanying drawings are illustrative and intended to explain the present application and should not be construed as limiting the present application.
First, it should be noted that, from the historical experience of worldwide electric power marketization, the retention behavior of the power generator may cause low production efficiency and configuration efficiency, cause meaningless social welfare loss, reduce market competition efficiency, and even jeopardize the safe operation and reliable power supply of the power grid.
It should also be noted that, in general, electric 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, generators may reserve part of their power generation capacity due to a generator set failing down or due to a reduction in available capacity resulting from service. Generally, the physical retention behavior of the generator is easy to judge, and only the actual bidding 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 trial construction area of the domestic electric power spot market adopts a full-electric-quantity declared bidding mode, and the problem of physical retention of a power generator is solved to a great extent.
The economic persistence refers to that a generator reports a price higher to a part of electric capacity when the generator quotes, the part of the electric capacity is intentionally not bid, and the actual capacity supply is reduced. The economic persistence is reflected in the bidding behaviors of the power generators, and different bidding strategies of the power generators are inconsistent, so that quantitative analysis cannot be carried out. The form of economic retention by the generator is more concealed and more difficult to identify than the form of 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 and an apparatus for monitoring a retention behavior in a power spot market, and an electronic device.
Fig. 1 is a flowchart of a method for monitoring a retention behavior in an electric power spot market according to an embodiment of the present disclosure. It should be noted that the method for monitoring retention behavior in the power spot market in the embodiment of the present application may be used in the device for monitoring retention behavior in the power spot market in the embodiment of the present application, and the device for monitoring retention behavior in the power spot market in the embodiment of the present application may be configured in an electronic device. As shown in fig. 1, the method may include the steps of:
step 101, obtaining quoted price data information of each power generator in the electric power spot market.
In some embodiments of the present application, the quoted data information of each power generator in the electricity spot market may include an actual quoted price of each power generator, a power generation capacity of each power generator, a total market load demand, and the like, and the quoted data information of each power generator may be real-time data information or quoted data information in a past period, where the data information 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 electricity 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 obtained by receiving data information submitted in the information entry system. As still another example, by acquiring the read authority of the corresponding data in the market exchange and using the corresponding data read interface, the quoted data information of each power generator is read periodically or in real time.
And 102, acquiring the pliner index value, the residual supply rate index value and the behavior influence test value of each power generator based on the quoted price data information.
In some embodiments of the present application, the lener index value of each power generator is a measure of the monopoly level of each power generator by the degree of deviation of the marginal cost of each power generator from the market price. The remaining supply rate index value is an index for evaluating the importance of each power generator to market demand based on the market total load demand. The behavior impact test value is a value for judging whether or not each power generator has a behavior for operating a market price by market force. In addition, the lener index value and the remaining supply rate index value of each power generator in the embodiment of the application can be real-time data of a certain quotation time period, and can also be data calculated based on historical quotation data. The behavioral impact test value is obtained based on historical quote data for each generator over a period of time.
As an example, for day-ahead and day-inside trading markets, the real-time lenr index value of each generator may be obtained based on the market clearing price of the current time period in the real-time quote data information and the marginal cost of each generator; calculating real-time residual supply rate index values of all power generators based on the market total load requirements of the current time period in the real-time quotation data information and the power generation capacity declared by all power generators in the current time period; and respectively calculating the behavior influence test factor values of the generators in different periods based on the quoted price data information within the range from the current preset time period, and taking the average value of the behavior influence test factor values of the generators in different periods as the behavior influence test value of each generator.
As another example, for a medium-and-long-term trading market, the lenr index values of the power generators in different periods may be obtained based on the market clearing price and the marginal cost of the power generators in each period in the quoted data information within the current preset period, and the average value of the lenr index values of the power generators in different periods is used as the average lenr index value of the power generators within the period; calculating the residual supply rate index values of the generators in different periods based on the market total load requirements of the generators in each period in the price data information within the current preset period and the reported power generation capacity of the generators in each period, and taking the average value of the residual supply rate index values of the generators in different periods as the average residual supply rate index value of the generators in the period range; and respectively calculating the behavior influence test values of the generators in different periods based on the quoted price data information within the current preset period, and taking the average value of the behavior influence test factor values of the generators in different periods as the behavior influence test value of the generators in the period range.
As yet another example, if the generator's quote is an individual quote for each unit, the lenr index value, the remaining supply rate index value, and the behavior impact test value for each unit may be calculated separately based on the quote data information for each unit.
And 103, monitoring whether the power generators have retention behaviors or not according to the Lener index value, the residual supply rate index value and the behavior influence test value of each power generator.
In the embodiment of the application, monitoring whether the persistence behaviors exist in the power generators refers to monitoring whether the economic persistence exists in the quotations of the power generators.
It can be understood that the lenr index value of the power generator can reflect the monopoly force 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 retention 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 specific gravity of the power generation capacity declared by a certain power generator in the total load demand of the market is higher, so that the supply of the power generator is lacked, and the market load demand cannot be met, 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, the lenr index value, the remaining supply rate index value, and the behavior impact test value of each power generator may be integrated to monitor whether a retention behavior exists for each power generator. The implementation mode can be as follows: carrying out weighted summation on the Leiner index value, the residual supply rate index value and the behavior influence test value of each power generator; comparing the result of the weighted summation with a preset threshold value to monitor whether each power generator has a retention behavior; and the retention behavior exists for the power generator with the weighted summation result exceeding a preset threshold value.
It should be noted that, the process of monitoring whether the power generators have the retention behaviors or not according to the lenr index value, the residual supply rate index value and the behavior influence test value of each power generator is not limited to performing weighted summation calculation on the lenr index value, the residual supply rate index value and the behavior influence test value of each power generator, and may also be performed by multiplication calculation or other processing manners, so that the obtained result may represent the monopoly capacity of each power generator, the importance degree of each power generator, and the ability of each power generator to manipulate the market price.
As an example, for a market traded in the day ahead or the day, for each power generator, the real-time lener index value and the residual supply rate index value of the power generator, and the behavior impact test value of the power generator within a preset time period range may be subjected to weighted summation, and a weighted summation result is compared with a preset threshold, if the weighted summation result of the power generator exceeds the preset threshold, it is indicated that the power generator has a retention behavior, and if the weighted summation result of the power generator does not exceed the preset threshold, it is indicated that the power generator does not have the retention behavior. Therefore, the real-time Lener index value and the residual supply rate index value of the power generator can be based on, and the comprehensive calculation of the behavior influence test value in the preset time period range is combined, so that the real-time factor and the long-term influence are considered in the monitoring of the retention behavior, the misjudgment caused by accidental factors is avoided, the monitoring accuracy can be improved, and the basis of analysis reference can be provided for the market of day-ahead and day-ahead trading.
As another example, for a medium-and-long-term trading market, for each power generator, multiplication processing may be performed on the basis of the average lenr index value and the average remaining supply rate index value of the power generator within a preset time period range and the behavior influence test value of the power generator, and a result obtained after the multiplication is compared with a preset threshold, if the result obtained after the multiplication of the power generator exceeds the preset threshold, it is indicated that the power generator has a retention behavior, and if the result obtained after the multiplication of the power generator does not exceed the preset threshold, it is indicated that the power generator does not have the retention behavior. Therefore, the accuracy of the monitoring of the retention behavior is improved by comprehensively calculating the average Lener index value and the average residual supply rate index value in the preset time period range based on the behavior influence test value of the power generator in the time period range, and meanwhile, a basis for analysis reference can be provided for the medium-term and long-term power trading market.
In other embodiments of the present application, if the generator quote is a unit quote, whether a retention behavior exists in each unit can be monitored according to the lenr index value, the remaining supply rate index value, and the behavior impact test value of each unit.
According to the monitoring method for the retention behavior in the electric power spot market, the lener index value, the residual supply rate index value and the behavior influence test value of each power generator are obtained according to the quotation data information of each power generator in the electric power spot market, and whether the retention behavior exists in each power generator is monitored according to the lener index value, the residual supply rate index value and the behavior influence test value of each power generator, so that the power generators with the retention behavior can be accurately screened out, the supervision of the power generators is realized, and the benign competition and stable operation of the electric power market are guaranteed.
In order to introduce details of the implementation process of obtaining the lener index value, the remaining supply rate index value, and the behavior influence test value of each power generator, the present application provides another embodiment.
Fig. 2 is a flowchart of another method for monitoring a retention behavior in an electric power spot market according to an embodiment of the present disclosure. As shown in fig. 2, the method may include the steps of:
step 201, obtaining quoted price data information of each power generator in the electric power spot market.
Step 202, based on the quotation data information, acquiring the marginal cost of each power generator, the actual quotation of each power generator, the power generation capacity of each power generator, the total market load demand, the market benchmark quotation and the market clearing price.
In some embodiments of the present application, the marginal cost of each power generator may be obtained directly based on the quoted data information, or may be calculated based on the quoted data information of each power generator. The actual quotes of each power generator refer to actual quotes of each power generator at different time periods, which are published by the power 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 the latest data in real time or the total electric quantity required by the market published in different periods. 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 the market clearing prices at different time periods.
And step 203, acquiring the Leiner 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. Acquiring the Lener index value of each power generator by adopting a first formula according to the marginal cost and the market clearing price of each power generator; wherein the first formula is represented as formula (1):
Figure BDA0003608439590000131
wherein, LIiIs the Loner index value of the generator i, P is the market clearing price, MCiThe marginal cost of the generator i.
It should be noted that, in an ideal market, the lener index value of the power generator is 0, and in a general market, the lener index value of the power generator is slightly greater than 0, but if the lener 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 the preset time period range.
In further 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)iIs the Lener index value, MC, of unit iiIs the marginal cost of unit i.
And step 204, acquiring a behavior influence test value of each generator according to the actual quotation and the market standard quotation of each generator.
In some embodiments of the present application, the actual quote and the market benchmark quote of each generator are data of different periods of time obtained within a preset time period range. The behavior influence test factor value of each generator in each time period can be obtained by adopting a second formula according to the actual quotation and market standard quotation of each generator, and the behavior influence test value of each generator is obtained based on all the behavior influence test factor values of each generator in each time period; wherein the second formula is expressed as follows:
Figure BDA0003608439590000141
wherein, aiThe factor values are tested for the behavioral impact of the generator i during period j,
Figure BDA0003608439590000142
for the actual quote of the generator i during period j, PreAnd (5) quoted prices for market benchmarks.
That is, the generator behavior impact test value is based on the generator behavior impact test factor value over a historical period of time, i.e., the generator behavior impact test value may characterize how far the generator's actual quote 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 the formula (2); and averaging the influence test factors of the generator in each period within 10 days to obtain a behavior influence test value of the generator within the 10 days.
In still other 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 (2) 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 (2)ijTesting factor values for the behavior impact of the unit i in the period j,
Figure BDA0003608439590000151
and (4) actual quotation of the unit i in the period j.
And step 205, acquiring the remaining supply rate index value of each power generator according to the power generation capacity of each power generator and the total market load demand.
In some embodiments of the present application, for day-ahead and day-inside trading markets, the total market load demand and the power generation capacity of each power generator are data obtained in real time according to the current time. Obtaining the index value of the residual supply rate of each power generator by adopting a third formula according to the total market load demand and the power generation capacity of each power generator; wherein the third formula is represented as formula (3):
Figure BDA0003608439590000152
wherein RSIi is the remaining supply rate index value, Σ, of the generator ij＝1，j≠i qjThe 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 value of the remaining supply index of the power generator is less than 1, which indicates that the demand of the market can not be met if the supply of the power generator is lacked, the power 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 (3); and averaging the residual supply rate index values of the power generator at different time periods to obtain an average residual supply rate index value of the power generator within a preset time period range.
In further 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 (3) according to the total market load demand and the power generation capacity of each unit. Wherein RSI in formula (3) at this timeiThe remaining supply rate index value, sigma, for unit ij＝1，j≠i qjThe generating capacity of unit i is subtracted from the total generating capacity of each unit.
And step 206, monitoring whether the power generators have retention behaviors or not according to the Lener index value, the residual supply rate index value and the behavior influence test value of each power generator.
According to the monitoring method for the retention behavior in the electric power spot market, provided by the embodiment of the application, the lenr index value, the residual supply rate index value and the behavior influence test value of each power generator are obtained according to the quoted data information of each power generator in the electric power spot market, and whether the retention behavior exists in each power generator is monitored according to the lenr index value, the residual supply rate index value and the behavior influence test value of each power generator, so that the power generators with the retention behavior can be accurately screened out, reference bases can be provided for day-ahead and day-inside trading markets, reference bases can also be provided for medium-long electric power trading markets, and the benign competition and stable operation of the electric power market are guaranteed.
In order to implement the above embodiments, the present application provides a device for monitoring a retention behavior in an electric power spot market.
Fig. 3 is a block diagram of a device for monitoring a retention behavior in an electric power spot market according to an embodiment of the present disclosure. As shown in fig. 3, the apparatus includes:
the first obtaining module 310 is configured to obtain quoted price data information of each power generator in the electric power spot market;
a second obtaining module 320, configured to obtain the lenr index value, the remaining supply rate index value, and the behavior impact test value of each power generator based on the quoted data information;
and the monitoring module 330 is configured to monitor whether a retention behavior exists in each power generator according to the lenr index value, the remaining supply rate index value, and the behavior influence test value of each power generator.
In some embodiments of the present application, the second obtaining module 320 includes:
a first obtaining unit 321 configured to obtain, based on the quoted price data information, a marginal cost of each power generator, an actual quoted price of each power generator, a power generation capacity of each power generator, a market total load demand, a market benchmark quote, and a market clearing price;
a second obtaining unit 322, configured to obtain the lener index value of each power generator according to the marginal cost and the market clearing price of each power generator;
a third obtaining unit 323, configured to obtain a behavior impact test value of each power generator according to an actual quote and a market benchmark quote of each power generator;
the fourth obtaining unit 324 is configured to obtain the remaining supply rate index value of each power generator according to the power generation capacity of each power generator and the total market load demand.
As an embodiment, the second obtaining unit 322 is specifically configured to:
acquiring the lener index value of each power generator by adopting a first formula according to the marginal cost and the market clearing price of each power generator; wherein the first formula is expressed as follows:
Figure BDA0003608439590000171
wherein, LIiThe Lener index value of the power generator i, P is the market clearing price, and MCi is the marginal cost of the power generator i;
the third obtaining unit 323 is specifically configured to:
acquiring a behavior influence test factor value of each power generator in each time period by adopting a second formula according to the actual quotation and market benchmark quotation of each power generator, and acquiring the behavior influence test value of each power generator based on the behavior influence test factor value of each power generator in each time period; wherein the second formula is expressed as follows:
Figure BDA0003608439590000181
wherein, aijThe factor values are tested for the behavioral impact of the generator i during the period j,
Figure BDA0003608439590000182
for the actual quote of the generator i during period j, PreQuoted price for market benchmark;
the fourth obtaining unit 324 is specifically configured to:
obtaining the index value of the residual supply rate of each power generator by adopting a third formula according to the power generation capacity of each power generator and the total market load demand; wherein the third formula is expressed as follows:
Figure BDA0003608439590000183
wherein RSIiProviding the remaining power index value, sigma, for the generator ij＝1，j≠i qjThe 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.
In some embodiments of the present application, the monitoring module 330 is specifically configured to:
carrying out weighted summation on the Leiner index value, the residual supply rate index value and the behavior influence test value of each power generator;
comparing the result of the weighted summation with a preset threshold value to monitor whether each power generator has a retention behavior; and the retention behavior exists for the power generator with the weighted summation result exceeding a preset threshold value.
According to the monitoring device for the retention behavior in the electric power spot market, the lenr index value, the residual supply rate index value and the behavior influence test value of each power generator are obtained according to the quotation data information of each power generator in the electric power spot market, and whether the retention behavior exists in each power generator is monitored according to the lenr index value, the residual supply rate index value and the behavior influence test value of each power generator, so that the power generators with the retention behavior can be accurately monitored, the quotation of the power generators is monitored, and the benign competition and stable operation of the electric power market are guaranteed.
Fig. 4 is a block diagram of an electronic device for implementing a method for monitoring holdup 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. Electronic devices may also represent various forms of mobile devices, such as personal digital processors, cellular telephones, 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. 4, the electronic apparatus includes: memory 410, processor 420, and computer programs 430 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, if desired. Also, multiple electronic devices may be connected, with each device providing some of the necessary operations (e.g., as an array of servers, a group of blade servers, or a multi-processor system).
Memory 410 is a non-transitory computer readable storage medium as provided herein. Wherein the memory stores instructions executable by the at least one processor to cause the at least one processor to perform the method for monitoring persistence behaviour in a power spot market provided herein. The non-transitory computer readable storage medium of the present application stores computer instructions for causing a computer to perform the method for monitoring persistence behavior in a power spot market provided by the present application.
The memory 410, as 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 (e.g., the first obtaining module 310, the second obtaining module 320, and the monitoring module 330 shown in fig. 3) corresponding to the monitoring method for the persistence behaviors in the power spot market in the embodiments of the present application. The processor 420 executes various functional applications of the server and data processing, i.e., implements the monitoring method of the retention behavior in the electricity spot market in the above-described method embodiments, by running non-transitory software programs, instructions, and modules stored in the memory 410.
The memory 410 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 according to use of the electronic device to implement a monitoring method of retention behavior in the electricity spot market, and the like. Further, the memory 410 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 410 may optionally include memory remotely located from the processor 420, which may be connected over a network to an electronic device to implement a monitoring method for retention 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 for monitoring retention behavior in the power spot market may further include: an input device 440 and an output device 450. The processor 420, memory 410, input device 440, and output device 450 may be connected by a bus or other means, such as by a bus connection in fig. 4.
The input device 440 may receive input numeric or character information and generate key signal inputs related to user settings and function control of the electronic equipment used to implement the monitoring method of retention behavior in the power spot market, such as an input device like a touch screen, keypad, mouse, track pad, touch pad, pointing stick, one or more mouse buttons, track ball, joystick, etc. The output device 450 may include a display device, an auxiliary lighting device (e.g., an LED), a haptic feedback device (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 implicitly indicating 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, e.g., 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, various steps or methods may be implemented in software or firmware stored in a 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 by the method for 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 when the program is executed, the program 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 stand-alone 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. Although embodiments of the present application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present application, and that variations, modifications, substitutions and alterations may be made to the above embodiments by those of ordinary skill in the art within the scope of the present application.

Claims (10)

1. A method for monitoring persistence in a power spot market, comprising:
acquiring quoted price data information of each power generator in the electric power spot market;
acquiring a Lener index value, a residual supply rate index value and a behavior influence test value of each power generator based on the quotation data information;
and monitoring whether the power generators have retention behaviors or not according to the Lener index value, the residual supply rate index value and the behavior influence test value of each power generator.
2. The method of claim 1, wherein determining a lener index value, a remaining supply rate index value, and a behavioral impact test value for each power generator based on the quote data information comprises:
acquiring marginal cost of each power generator, actual quotation of each power generator, power generation capacity of each power generator, market total load demand, market benchmark quotation and market clearing price 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 power generator according to the actual quotation and the market benchmark quotation of each power generator;
and 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.
3. The method according to claim 2, wherein said obtaining lener index values for each power generator based on marginal cost and said market clearing price for each power generator comprises:
acquiring the Lener index value of each power generator by adopting a first formula according to the marginal cost of each power generator and the market clearing price; wherein the first formula is expressed as follows:
Figure FDA0003608439580000021
wherein LI isiIs the Loner index value of the generator i, P is the market clearing price, MCiMarginal cost for generator i;
the step of obtaining the behavior influence test value of each power generator according to the actual quotation and the market benchmark quotation of each power generator comprises the following steps:
acquiring a behavior influence test factor value of each power generator in each time period by adopting a second formula according to the actual quotation and the market benchmark quotation of each power generator, and acquiring the behavior influence test value of each power generator based on the behavior influence test factor value of each power generator in each time period; wherein the second formula is expressed as follows:
Figure FDA0003608439580000022
wherein, aijThe factor values are tested for the behavioral impact of the generator i during the period j,
Figure FDA0003608439580000023
for the actual quote of the generator i during period j, PreQuoted prices for the market benchmark;
the obtaining of the remaining supply rate index value of each power generator according to the power generation capacity of each power generator and the market total load demand includes:
obtaining the index value of the residual supply rate of each power generator by adopting a third formula according to the power generation capacity of each power generator and the total market load demand; wherein the third formula is expressed as follows:
Figure FDA0003608439580000024
wherein RSIiProviding the remaining power index value, sigma, for the generator ij＝1,j≠iqjAnd subtracting the power generation capacity of the power generator i from the total power generation capacity of each power generator, and D is the total market load demand.
4. The method according to claim 1, wherein said monitoring whether a retention behavior exists for each power generator based on the lener index value, the remaining supply rate index value, and the behavior impact test value for each power generator comprises:
carrying out weighted summation on the Lener index value, the residual supply rate index value and the behavior influence test value of each power generator;
comparing the result of the weighted summation with a preset threshold value to monitor whether the retention behavior exists in each power generator; and the power generator with the weighted summation result exceeding the preset threshold has retention behavior.
5. A device for monitoring retention behavior in an electric 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 acquiring the Lener index value, the residual supply rate index value and the behavior influence test value of each power generator based on the quotation data information;
and the monitoring module is used for monitoring whether the power generators have retention behaviors or not according to the Lener index value, the residual supply rate index value and the behavior influence test value of each power generator.
6. The apparatus of claim 5, wherein the second obtaining module comprises:
a first obtaining unit, configured to obtain, based on the quoted price data information, a marginal cost of each power generator, an actual quoted price of each power generator, a power generation capacity of each power generator, a total market load demand, a market reference quote, and a market clearing price;
the second obtaining unit is used for obtaining the lenr index value of each power generator according to the marginal cost of each power generator and the market clearing price;
the third acquisition unit is used for acquiring the behavior influence test value of each power generator according to the actual quotation of each power generator and the market benchmark quotation;
and the fourth acquisition unit is used for 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.
7. The apparatus according to claim 6, wherein the second obtaining unit is specifically configured to:
acquiring the Lener index value of each power generator by adopting a first formula according to the marginal cost of each power generator and the market clearing price; wherein the first formula is represented as follows:
Figure FDA0003608439580000041
wherein LI isiLener index value for power generator i, P is the market clearing price, MCiMarginal cost for generator i;
the third obtaining unit is specifically configured to:
acquiring a behavior influence test factor value of each power generator in each time period by adopting a second formula according to the actual quotation and the market benchmark quotation of each power generator, and acquiring the behavior influence test value of each power generator based on the behavior influence test factor value of each power generator in each time period; wherein the second formula is expressed as follows:
Figure FDA0003608439580000042
wherein, aijThe factor values are tested for the behavioral impact of the generator i during period j,
Figure FDA0003608439580000043
actual quote for the Generator i during the j period, PreQuoted for the market benchmark;
the fourth obtaining unit is specifically configured to:
obtaining the index value of the residual supply rate of each power generator by adopting a third formula according to the power generation capacity of each power generator and the total market load demand; wherein the third formula is expressed as follows:
Figure FDA0003608439580000051
wherein RSIiIs the remaining supply rate index value, sigma, of the generator ij＝1,j≠iqjAnd subtracting the power generation capacity of the power generator i from the total power generation capacity of each power generator, and D is the total market load demand.
8. The apparatus of claim 5, the monitoring module to:
carrying out weighted summation on the Lener index value, the residual supply rate index value and the behavior influence test value of each power generator;
comparing the result of the weighted summation with a preset threshold value to monitor whether the retention behavior exists in each power generator; and the power generator with the weighted summation result exceeding the preset threshold has retention behavior.
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 4 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 4.
CN202210425734.9A 2021-12-09 2022-04-21 Method and device for monitoring retention behavior in electric power spot market and electronic equipment Pending CN114782090A (en)

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