CN114820056A

CN114820056A - Method and device for determining retention behavior in electric power spot market and electronic equipment

Info

Publication number: CN114820056A
Application number: CN202210427477.2A
Authority: CN
Inventors: 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
Original assignee: Huaneng Clean Energy Research Institute; Huaneng Group Technology Innovation Center Co Ltd
Current assignee: Huaneng Clean Energy Research Institute; Huaneng Group Technology Innovation Center Co Ltd
Priority date: 2021-12-09
Filing date: 2022-04-21
Publication date: 2022-07-29

Abstract

The application provides a method and a device for determining a retention behavior in an electric 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; performing data test on each power generator based on the quoted price data information to obtain a data test result of each power generator; wherein, the data test is any one of a Lener index test and a behavior influence test; and determining whether the retention behaviors exist in the generators according to the data test results of the generators. According to the scheme, whether the retention behavior exists in each power generator can be determined according to the data test result, so that the damage to the market caused by the retention behavior of the power generators can be avoided.

Description

Method and device for determining 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 determining a retention behavior in a power spot market and electronic equipment.

Background

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 historical experience, over-utilization of the generator market force can lead to inefficient operation of the market, unnecessary loss of social welfare, and even threaten safe and reliable operation of the power system.

Among them, the retention behavior in the power market force manipulation means that when a generator quotes, the price of partial electric capacity is reported to be high to reduce the actual capacity supply, so how to accurately determine the retention behavior of the generator is a problem to be solved urgently 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;

performing data test on each power generator based on the quoted price data information to obtain a data test result of each power generator; wherein, the data test is any one of a Lener index test and a behavior influence test;

and determining whether the retention behaviors exist in the generators according to the data test results of the generators.

In some embodiments of the present application, the data test is a lener index test; the data test is performed on the power generators based on the quoted price data information to obtain data test results of the power generators, and the data test results comprise:

acquiring marginal cost and market clearing price of each power generator 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, and taking the Lener index value of each power generator as a data test result of each power generator;

wherein, the determining whether the retention behavior exists in each power generator according to the data test result of each power generator comprises:

respectively comparing the Lener index values of the power generators with a first preset threshold value to determine whether the power generators have a retention behavior; and the generator with the Lener index value exceeding the first preset threshold has a retention behavior.

As an implementation manner, the obtaining, according to the marginal cost of each power generator and the market clearing price, a lener index value of each power generator 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:

wherein LI is _i Is the Loner index value of the generator i, P is the market clearing price, MC _i Is the marginal cost of the generator i.

In other embodiments of the present application, the data test is a behavioral impact test; the data test is performed on the power generators based on the quoted price data information to obtain data test results of the power generators, and the data test results comprise:

acquiring actual quotations and market standard quotations of the power generators based on the quotation data information;

comparing the actual quotations of the generators with market standard quotations respectively, determining behavior influence test values of the generators, and taking the behavior influence test values of the generators as data test results of the generators;

comparing the behavior influence test values of the power generators with a second preset threshold value respectively to determine whether the power generators have a retention behavior; and the generator with the behavior influence test value exceeding the second preset threshold has retention behavior.

As an implementation manner, the comparing the actual quoted prices of the power generators with the market standard quoted prices respectively to determine the behavior impact test value of the power generators includes:

acquiring a behavior influence test factor value of each generator in each time period by adopting a second formula according to the actual quotation and the market benchmark quotation of each generator, and acquiring the behavior influence test value of each generator based on the behavior influence test factor value of each generator in each time period; wherein the second formula is expressed as follows:

wherein, a _ij 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 quoted for the market benchmark.

According to a second aspect of the present application, there is provided an apparatus for determining a 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 carrying out data test on each power generator based on the quoted price data information to obtain the data test result of each power generator; wherein, the data test is any one of a Lener index test and a behavior influence test;

and the determining module is used for determining whether the retention behaviors exist in the power generators according to the data test results of the power generators.

In some embodiments of the present application, the data test is a lener index test; the second obtaining module is specifically configured to:

wherein the determining module is specifically configured to:

As an implementation manner, the second obtaining module is specifically configured to:

In other embodiments of the present application, the data test is a behavioral impact test; the second obtaining module is specifically configured to:

wherein the determining module is specifically configured to:

comparing the behavior influence test values of the power generators with a second preset threshold value respectively to determine whether the power generators have a retention behavior; and the generator with the behavior influence test exceeding the second preset threshold has 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, the lenr index test or the behavior influence test is carried out on each power generator according to the quotation data information, whether the power generator has the retention behavior or not is accurately determined according to the test result, the quotation of the power generator can be monitored, 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 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.

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 an electric power spot market according to an embodiment of the present disclosure;

FIG. 2 is a flow chart of another method for determining retention behavior in a power spot market provided by an embodiment of the present application;

fig. 3 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 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 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 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.

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, so that supply shortage is caused, market price is increased, and excess economic benefit is obtained. 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 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 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 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 covert and difficult to determine than the form of physical retention. Most generator retention activities belong to economic retention in electricity market bidding. Therefore, how to accurately determine 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 determining a retention behavior in a power spot market, and an electronic device.

Fig. 1 is a flowchart of a method for determining a retention behavior in an electric power spot market according to an embodiment of the present application. It should be noted that the method for determining the retention behavior in the electric power spot market in the embodiment of the present application may be used in the device for determining the retention behavior in the electric power spot market in the embodiment of the present application, and the device for determining the retention behavior in the electric 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:

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 quote, a market clearing price, and the like of each power generator, 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 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, and the quotation data information of the generators is taken as the aggregated quotation for example in the application.

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.

102, performing data test on each power generator based on the quoted price data information to obtain a data test result of each power generator; wherein, the data test is a Leiner index test.

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. In addition, the lener index test in the embodiment of the present application may be performed based on real-time data of each generator, or may be performed based on historical quoted price data of each generator within a preset time period.

In some embodiments of the present application, the implementation of step 102 may include the following steps:

and 102-1, acquiring the marginal cost and the market clearing price of each power generator 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 quoted data information, or may be calculated based on the quoted data information of each power generator, and meanwhile, the marginal cost of each power generator may be the latest real-time marginal cost, or may be the real-time marginal cost 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 market clearing prices at different time periods.

And step 102-2, acquiring the Leiner index value of each power generator according to the marginal cost and the market clearing price of each power generator, and taking the Leiner index value of each power generator as a data test result 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.

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 Leiner index value, MC, of unit i _i Is the marginal cost of unit i.

And 103, determining whether the retention behavior exists in each power generator according to the data test result of each power generator.

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. It is possible to determine whether or not the retention behavior exists for each power generator based on the lenr index value.

In some embodiments of the present application, it may be determined whether each power generator has a persistence behavior by comparing the lenr index value of each power generator with a first preset threshold, respectively; and the generator with the Lenner index value exceeding a first preset threshold has a retention behavior. It should be noted that the lenr index value of each power generator may be obtained based on real-time data, or may be based on an average lenr index value within a preset time period range, where the lenr index value may be determined according to an actual application scenario.

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 lenr index test is carried out on each power generator according to the quotation data information, and whether the retention behavior exists in each power generator is accurately determined according to the test result, so that the quotation of the power generators can be monitored, the damage to the market caused by the retention behavior of the power generators is avoided, and the benign competition and stable operation of the electric power market are ensured.

Fig. 2 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. 2, the method comprises the steps of:

step 201, obtaining quoted price data information of each power generator in the electric power spot market.

Step 202, performing data test on each power generator based on the quoted data information to obtain a data test result of each power generator; wherein the data test is a behavior impact test.

In the embodiment of the application, the behavior impact test is used for representing the deviation degree of the quote of each power generator in the preset time period range from the reference quote, and is carried out based on the historical quote data of each power generator in the preset time period range.

In some embodiments of the present application, the implementation of step 202 may include the following steps:

step 202-1, actual quotations and market standard quotations of each generator are obtained 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 for different periods of time within a preset time period that has been published by the electricity trading market. The market reference quotes refer to reference quotes published in the electric power trading market for different periods of time within a preset time period range.

Step 202-2, comparing the actual quotations of the power generators with market standard quotations respectively, determining behavior influence test values of the power generators, and taking the behavior influence test values of the power generators as data test results of the power generators.

In some embodiments of the present application, the actual quote and the market benchmark quote for each power generator are data for different periods of time within a preset time period. The behavior impact test factor value of each generator in each time period can be obtained by using the following formula (2) 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 generator in each time period, an implementation manner of obtaining the behavior impact test value of each 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, respectively calculating the influence test factor value of the power generator in each time period within 10 days according to a formula (2); 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 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) _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.

And step 203, determining whether the retention behaviors exist in each power generator according to the data test result of each power generator.

It can be understood that the behavior impact test value of the generator can represent the deviation trend of the actual quote of the generator from the reference quote within a period of time, and if the actual quote of the generator is higher than the reference quote within a period of time, the situation indicates that the generator is likely to have retention behavior. It is possible to determine whether or not the retention behavior of each power generator exists according to the behavior influence test value of each power generator.

As an implementation manner, whether the retention behavior exists in each power generator can be determined by comparing the behavior influence test value of each power generator with a second preset threshold value respectively; and the generator with the behavior influence test value exceeding a second preset threshold has retention behavior.

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 behavior influence test is carried out on each power generator according to the quotation data information, and whether the retention behavior exists in each power generator is accurately determined according to the test result, so that the quotation of the power generators can be monitored, the harm to the market caused by the retention behavior of the power generators is avoided, and the benign competition and stable operation of the electric power market are ensured.

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. 3 is a block diagram of a device for determining a retention behavior in an electric power spot market according to an embodiment of the present application, and as shown in fig. 3, the device includes:

the first acquisition module 301 is used for acquiring quoted price data information of each power generator in the electric power spot market;

the second obtaining module 302 is configured to perform data testing on each power generator based on the quoted data information, and obtain a data testing result of each power generator; wherein, the data test is any one of a Lener index test and a behavior influence test;

the determining module 303 is configured to determine whether each power generator has a retention behavior according to a data test result of each power generator.

In some embodiments of the present application, the data test is a lener index test; the second obtaining module 302 is specifically configured to:

acquiring the Lener index value of each power generator according to the marginal cost and the market clearing price of each power generator, and taking the Lener index value of each power generator as a data test result of each power generator;

the determining module 303 is specifically configured to:

respectively comparing the Lener index values of the power generators with a first preset threshold value to determine whether the power generators have a retention behavior; and the generator with the Lenner index value exceeding a first preset threshold has a retention behavior.

As an implementation manner, the second obtaining module 302 is specifically configured to:

acquiring a 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:

wherein LI is _i Is the Lener index value of the generator i, P is the market clearing price, MC _i Is the marginal cost of the generator i.

In other embodiments of the present application, the data test is a behavioral impact test; the second obtaining module 302 is specifically configured to:

acquiring actual quoted prices and market standard quoted prices of various power generators based on the quoted price data information;

comparing the actual quotation of each power generator with the market standard quotation respectively, determining a behavior influence test value of each power generator, and taking the behavior influence test value of each power generator as a data test result of each power generator;

the determining module 303 is specifically configured to:

respectively comparing the behavior influence test value of each power generator with a second preset threshold value to determine whether each power generator has a retention behavior; and the retention behavior of the power generator with the behavior influence test exceeding a second preset threshold value exists.

acquiring a behavior influence test factor value of each generator in each time period by adopting a second formula according to the actual quotation and market standard quotation of each generator, and acquiring the behavior influence test value of each generator based on the behavior influence test factor value of each generator in each time period; wherein the second formula is expressed as follows:

According to the device 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 Lener index test or the behavior influence test is carried out on each power generator according to the quotation data information, whether the retention behavior exists in each power generator is determined according to the data test result, the quotation of the power generators can be monitored, the harm to the market caused by the retention behavior of the power generators is avoided, 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 determination method of retention 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. 4, the electronic apparatus includes: a memory 410, a processor 420, and a computer program 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 portions of the necessary operations (e.g., as a server array, 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 of determining a retention behavior 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 determining retention 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 determining module 330 shown in fig. 3) corresponding to the determination method of the retention behavior in the power spot market in the embodiment of the present application. The processor 420 executes various functional applications of the server and data processing, i.e., a method for determining a retention behavior in the power spot market in the above-described method embodiments, by executing the 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 from use of the electronic device to implement the determination method of the retention behavior in the electric power 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 located remotely from the processor 420, and these remote memories may be connected over a network to an electronic device to implement the determination of retention behavior in the 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 determination method of retention behavior in the power spot market may further include: an input device 440 and an output device 450. The processor 420, the memory 410, the input device 440, and the output device 450 may be connected by a bus or other means, such as the 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 to implement the determination method of retention behavior in the power spot market, such as an input device such as a touch screen, a keypad, a mouse, a track pad, a touch pad, a pointing stick, one or more mouse buttons, a track ball, a joystick, or the like. 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 such 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, 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 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. 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

1. A method for determining retention behavior in a power spot market, comprising:

2. The method of claim 1, wherein the data test is a lener index test; the data test is performed on the power generators based on the quoted price data information to obtain data test results of the power generators, and the data test results comprise:

3. The method according to claim 2, wherein the obtaining the lener index value of each power generator according to the marginal cost of each power generator and the market clearing price comprises:

4. The method of claim 1, wherein the data test is a behavioral impact test; the data test is performed on the power generators based on the quoted price data information to obtain data test results of the power generators, and the data test results comprise:

acquiring actual quoted prices and market standard quoted prices of the power generators on the basis of the quoted price data information;

5. The method of claim 4, wherein comparing the actual quotes of the generators with market benchmark quotes to determine the behavioral impact test value of the generators comprises:

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:

6. An apparatus for determining retention behavior in an electric power spot market, comprising:

7. The apparatus of claim 6, wherein the data test is a lener index test; the second obtaining module is specifically configured to:

wherein the determining module is specifically configured to:

8. The apparatus of claim 6, wherein the data test is a behavioral impact test; the second obtaining module is specifically configured to:

wherein the determining module is specifically configured to:

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.