CN114240049A

CN114240049A - Flexible calculation method for electric power spot market indexes

Info

Publication number: CN114240049A
Application number: CN202111355425.0A
Authority: CN
Inventors: 张伟; 余杰文; 马海鑫; 韩吉安
Original assignee: Southern Power Grid Digital Grid Research Institute Co Ltd
Current assignee: China Southern Power Grid Digital Grid Technology Guangdong Co ltd
Priority date: 2021-11-16
Filing date: 2021-11-16
Publication date: 2022-03-25

Abstract

The utility model relates to a flexible calculation method of electric power spot market index, obtain the business data of target electric power spot market from the basic model database of presetting, the basic model database is according to the electric power spot market basic model data of different dimensions is generated, according to the business data of target electric power spot market, the index of target electric power spot market is analyzed, obtain the index analysis result, according to the index analysis result, confirm the monitoring result of target electric power spot market. The method can simply, conveniently and flexibly acquire the data of the electric power spot market, and further improve the monitoring efficiency of the electric power spot market.

Description

Flexible calculation method for electric power spot market indexes

Technical Field

The application relates to the field of electric power markets, in particular to a flexible calculation method for electric power spot market indexes.

Background

In order to actively and surely promote the construction of the electric power market and maintain the fair and stable development of the electric power market, the electric power spot market monitoring technology needs to be deeply researched to timely identify unreasonable quotation behaviors and violation phenomena in the market.

In the related art, when monitoring the electric power spot market, a user usually applies for separate application from different manufacturers through a dedicated channel to obtain electric power spot market business data, and analyzes index information of the electric power spot market by combining the electric power spot market data with prior knowledge to identify unreasonable or illegal behaviors in the electric power spot market.

However, in the related art, the acquisition of the data of the electric power spot market is complex and inflexible, which results in low monitoring efficiency of the electric power spot market.

Disclosure of Invention

Therefore, in order to solve the above technical problems, it is necessary to provide a method for flexibly calculating an index of a power spot market, which can simply, flexibly acquire data of the power spot market, and further improve monitoring efficiency of the power spot market.

In a first aspect, an embodiment of the present application provides a method for monitoring a power spot market, where the method includes:

acquiring business data of a target power spot market from a preset basic model database; the basic model database is generated according to the basic model data of the electric power spot market with different dimensionalities;

analyzing the index of the target power spot market according to the business data of the target power spot market to obtain an index analysis result;

and determining a monitoring result of the target power spot market according to the index analysis result.

In one embodiment, before obtaining the business data of the target power spot market from the preset basic model database, the method further comprises:

acquiring basic data of electric power spot markets of different market types;

dividing the basic data of the electric power spot market of different market categories according to preset dimensionality to obtain electric power spot market basic model data of different dimensionalities;

and assembling the basic model data of the electric power spot market with different dimensionalities, and generating a basic model database according to the assembled result.

In one embodiment, assembling the power spot market basic model data of different dimensions, and generating a basic model database according to the result after the assembling process includes:

assembling the basic model data of the power spot market with different dimensions to obtain an assembling relation between an assembling object and each assembling object; the assembly objects comprise market constraint data, safety constraint data, system balance data, market declaration data and clearing result data which are obtained by classifying the basic data of the electric power spot market of different market types;

and storing the assembly objects and the assembly relation of each assembly object in a basic model database to obtain the basic model database.

In one embodiment, analyzing the index of the target power spot market according to the business data of the target power spot market to obtain an index analysis result, including:

acquiring an index calculation formula and a target assembly relation from a preset index calculation configuration library;

and analyzing according to the target assembly relation, the index calculation formula and the service data of the target power spot market, and analyzing the index of the target power spot market to obtain an index analysis result.

In one embodiment, determining the monitoring result of the target power spot market according to the index analysis result comprises:

comparing the index analysis result with a preset index threshold value;

if the comparison result is inconsistent, outputting alarm information; the alarm information is used for representing that illegal operation exists in the target electric power spot market.

In one embodiment, the obtaining of the business data of the target power spot market from the preset basic model database comprises:

responding to a data acquisition request triggered by a user, and acquiring service data of a target power spot market from a preset basic model database; the data acquisition request is triggered by a user in a front-end interface of the power spot market data application.

In a second aspect, an embodiment of the present application provides an electric power spot market monitoring device, which includes:

the acquisition module is used for acquiring the business data of the target electric power spot market from a preset basic model database; the basic model database is generated according to the basic model data of the electric power spot market with different dimensionalities;

the analysis module is used for analyzing the indexes of the target electric power spot market according to the business data of the target electric power spot market to obtain an index analysis result;

and the determining module is used for determining the monitoring result of the target power spot market according to the index analysis result.

In a third aspect, an embodiment of the present application provides a computer device, including a memory and a processor, where the memory stores a computer program, and the processor implements the steps of the method provided in any one of the foregoing first aspects when executing the computer program.

In a fourth aspect, the present application provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the steps of the method provided in any one of the embodiments in the first aspect.

In a fifth aspect, this application further provides a computer program product, which includes a computer program, and when the computer program is executed by a processor, the computer program implements the steps of the method provided in any one of the embodiments in the first aspect.

According to the method for flexibly calculating the indexes of the electric power spot market, the business data of the target electric power spot market are obtained from a preset basic model database, the basic model database is generated according to the basic model data of the electric power spot market with different dimensionalities, the indexes of the target electric power spot market are analyzed according to the business data of the target electric power spot market, index analysis results are obtained, and the monitoring results of the target electric power spot market are determined according to the index analysis results. According to the method, a basic model database is generated according to basic model data of the power spot market with different dimensions, then the business data of the target power spot market are directly obtained from the basic model database, the data of the power spot market can be simply, conveniently and flexibly obtained, the index of the target power spot market is analyzed according to the obtained business data of the target power spot market, an index analysis result is obtained, the monitoring result of the target power spot market is obtained according to the index analysis result, the business data of the target power spot market is directly obtained, and therefore the monitoring result of the target power spot market is obtained, and therefore the monitoring efficiency of the power spot market is improved.

Drawings

FIG. 1 is a diagram of an application environment of a power spot market monitoring method in one embodiment;

FIG. 2 is a flow diagram of a power spot market monitoring method in one embodiment;

FIG. 3 is a schematic flow chart of a power spot market monitoring method in another embodiment;

FIG. 4 is a schematic flow chart of a power spot market monitoring method in another embodiment;

FIG. 5 is a schematic flow chart of a power spot market monitoring method in another embodiment;

FIG. 6 is a schematic flow chart of a power spot market monitoring method in another embodiment;

FIG. 7 is a schematic interface diagram of a power spot market monitoring method in one embodiment;

FIG. 8 is a schematic flow chart of a power spot market monitoring method in another embodiment;

FIG. 9 is a schematic flow chart of a power spot market monitoring method in another embodiment;

FIG. 10 is a block diagram of a power spot market monitoring device in one embodiment;

FIG. 11 is a diagram illustrating an internal structure of a computer device in one embodiment.

Detailed Description

In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.

The method for monitoring the electric power spot market can be applied to computer equipment, the computer equipment can be equipment in any field, for example, electric equipment, or various personal computers, notebook computers, tablet computers, wearable equipment and the like, and the type of the computer equipment is not limited in the embodiment of the application. As shown in FIG. 1, a schematic diagram of an internal structure of a computer device is provided, and the processor of FIG. 1 is used for providing computing and control capabilities. The memory includes a nonvolatile storage medium, an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The database is used for storing relevant data of the electric power spot market monitoring process. The network interface is used for communicating with other external devices through network connection. The computer program is executed by a processor to implement a method of power spot market monitoring.

Based on this, the embodiment of the application provides a method for flexibly calculating the indexes of the electric power spot market, which can simply, conveniently and flexibly acquire the data of the electric power spot market, thereby improving the monitoring efficiency of the electric power spot market.

The following describes in detail the technical solutions of the present application and how the technical solutions of the present application solve the above technical problems by embodiments and with reference to the drawings. The following several specific embodiments may be combined with each other, and details of the same or similar concepts or processes may not be repeated in some embodiments. It should be noted that, according to the electric power spot market monitoring method provided by the present application, the execution main body of each embodiment may be a computer device, wherein the execution main body may also be an electric power spot market monitoring apparatus, and the apparatus may be implemented as part or all of a processor by software, hardware, or a combination of software and hardware.

In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments.

In an embodiment, as shown in fig. 2, a method for monitoring a power spot market is provided, where the embodiment relates to a specific process of acquiring service data of a target power spot market from a preset basic model database, analyzing an index of the target power spot market according to the service data of the target power spot market to obtain an index analysis result, and determining a monitoring result of the target power spot market according to the index analysis result. This embodiment comprises the steps of:

s201, acquiring service data of a target electric power spot market from a preset basic model database; the base model database is generated according to the base model data of the electric power spot market with different dimensionalities.

The electric power spot market comes relatively for a medium and long term, mainly carries out day-ahead, real-time electric energy transaction, frequency modulation and other auxiliary service transactions, is an important component of a complete electric power market system, and plays a role of finding the price of an electric power commodity together with the medium and long term market, namely, two parties intending to trade electric power for a long term are supposed to talk about a price approved by the two parties through the evaluation of the past year spot price and the prediction of factors possibly influencing cost and the like in the future, wherein the price is based on the spot market; the electric power spot market provides a marketization means for the short-term supply and demand balance of electric power, namely, a medium-term and long-term contract is signed with a power generator according to the electricity utilization prediction, but the electric quantity required by the actual electricity utilization can not be matched with the medium-term and long-term contract, and more than less than more than enough electric quantity needs to be delivered to the spot market for 'replenishment' or 'selling', so that the short-term supply and demand balance of the electric power is realized; the electric power spot market can be compatible with the characteristics of new energy fluctuation, randomness and the like, and is favorable for expanding the new energy consumption space.

The electric power spot market basic model data are basic data used in operation or transaction of the electric power spot market, and are divided according to different dimensions, namely time, state or result.

Optionally, the base model database is generated according to the power spot market base model data with different dimensions, and the generation mode can be that the power spot market base model data is directly stored in the base model database.

The service data of the electric power spot market comprises boundary data before clearing of the electric power spot market and result data after clearing; the clearing represents supply and demand balance, the boundary data before clearing is data defined according to clearing rules of the power spot market, the boundary data comprises system balance data, market constraint data, safety constraint data, market declaration data and the like, and the result data after clearing is result data after clearing the power spot market. The service data of the electric power spot market may specifically include:

system balancing data: system load prediction, bus load prediction, and tie line planning.

Market restraint data: the unit assigned state, the unit output constraint, the maintenance equipment information and the frequency modulation unit opportunity cost.

Security constraint data: section quota information, branch outage information and line N-1 check.

Market declaration data: a unit quotation curve and a unit frequency modulation mileage quotation.

Clearing result data: the system comprises a system active power balance unit, a system marginal price, unit cost, a node marginal price, a unit output plan, a ground state line tide, a line blocking marginal unit, a ground state section tide, a section blocking marginal unit, a ground state transfer distribution factor, a line N-1 line tide, a line N-1 section tide, a line N-1 transfer distribution factor, a fault set line tide, a fault set section tide, a fault set transfer distribution factor and a frequency modulation winning unit.

In one embodiment, the service data of the target power spot market is acquired from a preset basic model database in a manner that the data in the basic model database is called through a database language to directly obtain the service data of the target power spot market.

In another embodiment, the service data of the target power spot market is acquired from a preset basic model database, and the acquisition mode may also be that a data request message is sent to the basic model database, and after the data request message is received in the basic model database, the service data of the target power spot market is directly sent.

S202, analyzing the indexes of the target electric power spot market according to the business data of the target electric power spot market to obtain an index analysis result.

The indexes of the electric power spot market can evaluate the safety and the operation effect of the electric power spot market or predict the development trend of the market, and the indexes of the electric power spot market comprise a generator set overhauling total capacity index, a residual supply quantity index, capacity proportion indexes of various types of generator sets, an average price per unit analysis index, a line trend, a generator set output result, a marginal generator set, blocking information and the like. And analyzing the indexes of the target power spot market to obtain an index analysis result, wherein the index analysis result can represent the safety degree, the operation result, the prediction accuracy and the like of the target power spot market.

According to the embodiment, the index of the target electric power spot market is analyzed according to the business data of the target electric power spot market to obtain an index analysis result, and the index analysis result can be obtained in a preset neural network model mode.

In another embodiment, the index of the target power spot market is analyzed according to the service data of the target power spot market to obtain an index analysis result, specifically, the service data of the target power spot market is substituted into the preset analysis function through the preset analysis function to obtain the index of the target power spot market, and then the obtained index of the target power spot market is used as the input of an index analysis algorithm to obtain the index analysis result by operating the index analysis algorithm.

Optionally, the index analysis result may be a numerical value, an index analysis report, or a sentence with a warning function, and in practical application, the embodiment of the present application does not limit this.

And S203, determining a monitoring result of the target power spot market according to the index analysis result.

According to the monitoring result of the target electric power spot market, unreasonable behaviors, illegal behaviors or future operation trends of the target electric power spot market can be found in time.

According to the index analysis result, the monitoring result of the target power spot market is determined, the determination mode can be a mode of a neural network model, the index analysis result is used as the input of the neural network model, the neural network model is trained, and the monitoring result of the target power spot market is finally obtained.

In another embodiment, the monitoring result of the target power spot market is determined according to the index analysis result, or the determination may be performed in a manner of directly determining the monitoring result of the target power spot market according to the index analysis result.

The electric power spot market monitoring method provided by the embodiment of the application acquires the business data of the target electric power spot market from a preset basic model database, the basic model database is generated according to the basic model data of the electric power spot market with different dimensionalities, the indexes of the target electric power spot market are analyzed according to the business data of the target electric power spot market, the index analysis result is obtained, and the monitoring result of the target electric power spot market is determined according to the index analysis result. According to the method, a basic model database is generated according to basic model data of the power spot market with different dimensions, then the business data of the target power spot market are directly obtained from the basic model database, the data of the power spot market can be simply, conveniently and flexibly obtained, the index of the target power spot market is analyzed according to the obtained business data of the target power spot market, an index analysis result is obtained, the monitoring result of the target power spot market is obtained according to the index analysis result, the business data of the target power spot market is directly obtained, and therefore the monitoring result of the target power spot market is obtained, and therefore the monitoring efficiency of the power spot market is improved.

In one embodiment, as shown in fig. 3, before obtaining the business data of the target power spot market from the preset basic model database, the method further includes:

s301, acquiring basic data of the electric power spot market of different market types.

And acquiring basic data of the electric power spot market of different market types according to the characteristics of the electric power spot market.

Market categories of the electric power spot market include day ahead, real time and frequency modulation; the day-ahead electric power spot market is a main trading platform, trading can be carried out one day in advance, predicted power generation capacity and power utilization requirements of the next day are reported to a trading center, and a scheduling department generates an executable trading plan which is relatively in line with actual conditions; the real-time electric power spot market takes hours as lead and is organized and implemented by a scheduling department, so that the electric power balance is emphatically ensured, and the electric quantity trading scale is small; the frequency modulation electric power spot market organizes frequency modulation auxiliary service transaction by adopting a mode of concentrated bidding and prearrangement in the day and unified clearing in the day.

The basic data of the electric power spot market of different market categories include: unit, line, electricity consumer, bus, unit type, electricity quantity, electricity price, load, output, state, electricity fee, installed capacity, and the like.

Alternatively, the basic data of the electric power spot market of different market categories is obtained, and the obtaining mode can be the basic model data obtained in the database of the electric power spot market, and can also be the basic data of the electric power spot market obtained according to the characteristics of the electric power spot market.

And S302, dividing the basic data of the electric power spot market with different market categories according to preset dimensionality to obtain electric power spot market basic model data with different dimensionalities.

Optionally, the preset dimensions include time, market subject, data type, result type.

Wherein, the time refers to whether the data is stored according to time, day or month; market subjects refer to which specific grid device the data belongs to, or virtual objects, such as a ground market; the data type refers to which service the data belongs to, such as load prediction, specified state; the result type refers to what kind of value the data is specific, such as amount of electricity, electricity rate, electricity price, and the like.

In one embodiment, the power spot market data for different dimensions includes data for a time type, a market subject type, a data type, and a result type, wherein the data types include an attribute type, a transaction type, a boundary type, and a clearance data.

The time types include time of day, month, year, etc.

The market subject types comprise power plants, tie lines, buses, lines, main transformers and systems.

The attribute types comprise unit types (electricity, coal, gas, nuclear power, water and electricity, wind power and the like), power generation groups, whether to be marketized, unit capacity, voltage level, transaction types, starting time, ending time, maximum, minimum, section number and the like.

The transaction types include day-ahead, real-time, frequency modulated, etc.

The boundary types include load forecast (system load forecast, bus load forecast, tie-line plan, etc.), limits (unit capacity, section limits, etc.), operation plan (assigned state, etc.), overhaul plan, opportunity cost, N-1 check, quote curve, etc.

The clearing data comprises balance information, marginal information, tide information, distribution factors, N-1 information, an output plan, price information, blocking information and the like.

The result types include electricity amount, electricity price, load, output, power flow, state, electricity fee, yes, no, etc.

Optionally, the data of the electric power spot market further includes power grid model data, and the power grid model data includes a unit, a power plant, a tie line, a bus, a line, a main transformer and a system; the system is a virtual main body and corresponds to market data without specific power grid equipment. The power grid model data further comprises a unit climbing speed, a unit startup and shutdown curve, unit physical parameters, a unit-bus relation, a tie line-bus relation, a main transformer-bus relation and section containing equipment.

According to the embodiment, basic data of the electric power spot markets of different market types are divided according to preset dimensionality to obtain basic model data of the electric power spot markets of different dimensionality, the basic model data can be obtained according to a preset neural network model, the basic data of the electric power spot markets of different market types and the preset dimensionality are used as input of the preset neural network model, and the neural network model is trained to obtain the basic model data of the electric power spot markets of different dimensionality.

And S303, assembling the basic model data of the electric power spot market in different dimensions, and generating a basic model database according to the assembled result.

Optionally, the assembling processing of the power spot market basic model data with different dimensions may be performed by assembling the power spot market basic model data with different dimensions pairwise, for example, the dimensions include a time type, a market subject type, a data type and a result type, and the time type includes a time, a day and a month; the market main body comprises a machine set, a line and the like, the data types comprise machine set types, machine set capacity, voltage grades and the like, the result types comprise electric quantity, output and the like, the basic model data of the electric power spot market with different dimensionalities are assembled pairwise, the time and the machine set types can be assembled to obtain the machine set types at a certain time, and the time and the electric quantity can be assembled to obtain the electric quantity at a certain time; assembling the basic model data of the electric power spot market with different dimensions, or assembling the basic model data of the electric power spot market with three different dimensions, for example, assembling time, units and unit capacity to obtain the unit capacity of all the units at a certain time; and assembling the different dimensionalities of the electric power spot market basic model data, and also assembling the data of one time type and the data of 2 data types.

In one embodiment, the basic model database is generated by assembling the basic model data of the electric power spot market in different dimensions, and the assembling result is stored in the basic model database, for example, the electric power at a certain moment is obtained by assembling the moment and the electric quantity, and then the moment, the electric quantity and the electric quantity at the moment are stored in the basic model database.

The electric power spot market monitoring method provided by the embodiment of the application acquires the basic data of electric power spot markets of different market categories, divides the basic data of the electric power spot markets of different market categories according to the preset dimensionality to obtain the basic model data of the electric power spot markets of different dimensionalities, assembles the basic model data of the electric power spot markets of different dimensionalities, and generates the basic model database according to the result after the assembly. In the method, the result of assembling the basic model data of the electric power spot market in different dimensions is stored in the basic model database, so that a foundation is provided for simply, conveniently and flexibly acquiring the data of the electric power spot market from the basic model database.

Based on the foregoing embodiments, in one embodiment, as shown in fig. 4, the assembling process is performed on the power spot market basic model data of different dimensions, and the basic model database is generated according to the result of the assembling process, including the following steps:

s401, assembling the electric power spot market basic model data with different dimensions to obtain the assembling objects and the assembling relation of each assembling object.

The assembly objects comprise market constraint data, safety constraint data, system balance data, market declaration data and clearing result data which are obtained by classifying the basic data of the electric power spot market of different market types.

Alternatively, the assembly object must conform to the assembly relationship of the power spot market base model data, otherwise, the assembly is invalid.

In one embodiment, the basic model data of the electric power spot market with different dimensions are assembled to obtain an assembly relation between an assembly object and each assembly object, for example, the system load prediction is equal to time + system + load prediction + load, that is, the time, the system, the load prediction and the load are assembled, the obtained assembly object is the system load prediction, and the assembly relation corresponding to the assembly object is the time, the system, the load prediction and the load; the method comprises the following specific steps:

market restraint data: the unit designated state is equal to the time + the unit + the running state + the state and the time + the unit + the running state + the output; the unit output constraint is equal to the time + the unit + the limit + the maximum + the output and the time + the unit + the limit + the minimum + the output; the overhaul equipment information is equal to day + unit + overhaul plan + start time, day + unit + overhaul plan + end time, day + line + overhaul plan + start time, and day + line + overhaul plan + end time; the opportunity cost of the frequency modulation unit is equal to the time + the unit + the opportunity cost + the electricity price.

Security constraint data: the section quota information is equal to time + section + quota + max + power flow and time + section + quota + min + power flow; the branch line outage information is equal to the time + the line + the maintenance plan + the start time and the time + the line + the maintenance plan + the end time; line N-1 checks equal to time + line + N-1 checks + yes (no).

System balancing data: the system load prediction is equal to the time + the system + the load prediction + the load; the bus load prediction is equal to the time + the bus + the load prediction + the load; the tie line plan is equal to the time + tie line + load forecast + load;

market declaration data: the unit quotation curve is equal to day + unit + quotation curve + segment number + maximum + output, day + unit + quotation curve + segment number + minimum + output and day + unit + quotation curve + segment number + electricity price; the unit frequency modulation mileage quoted price is equal to the unit + capacity + electricity price.

The clear result data comprises system integral clear result data, unit clear result data, line clear result data, node clear result data, section clear result data, fault set clear result data and frequency modulation clear result data.

And (3) clearing result data of the whole system: the active power balance of the system is equal to the time + the system balance + the output power; the system marginal unit is equal to the time + the unit + the marginal information; the system marginal price is equal to the time + the system + the marginal information + the price;

the clear result data of the unit: the unit output plan is equal to the time + the unit + the output plan + the state and the time + the unit + the output plan + the output.

Line clearing result data: the ground state line power flow is equal to the time + the line + the power flow result + the power flow; the line blocking marginal unit is equal to the time + the line + the blocking information + the unit; the ground state transfer distribution factor is equal to the line + start time + node and the line + end time + node; the line power flow of the line N-1 is equal to the time + the line + the power flow result + the power flow of the line + N-1+ the power flow; the line N-1 transition distribution factor is equal to line + N-1 info + start time + node and line + N-1 info + end time + node.

Node clearing result data: the node marginal price is equal to time + node + price information + energy price, time + node + price information + loss price, time + node + price information + blocking price and time + node + price information + price.

Section clearing result data: the ground state section current is equal to the time + the section + the current result + the current; the section blocking marginal unit is equal to the time + the section + the blocking information + the unit; the power flow of the N-1 section of the line is equal to the power flow of the line, the information of the N-1 section, the time, the section, the power flow result and the power flow.

And (4) clearing result data of the fault set: the fault line power flow is equal to the time + the fault equipment + the power flow information + the power flow; the fault set section current is equal to the time + the fault set + the section + the current result + the current; the fault set transfer distribution factor is equal to fault set + line + start time + node and fault set + line + end time + node.

And (3) frequency modulation clear result data: the bid winning unit in frequency modulation is equal to the time + unit.

S402, storing the assembly objects and the assembly relation of each assembly object in a basic model database to obtain the basic model database.

Optionally, the assembly objects and the assembly relationships of the assembly objects obtained in the foregoing embodiment are stored in a basic model database to obtain the basic model database, where the storage manner is to directly store the assembly objects and the assembly relationships corresponding to the assembly objects in the basic model database, where the basic model database includes the assembly objects, the assembly relationships, and fields, and includes field names, field comments, field types, whether a primary key is used, and the like, and a dynamic statement of the assembly objects may be generated by configuring the assembly relationships, and finally, the business data in the basic model database is found by running the dynamic statement.

According to the electric power spot market monitoring method provided by the embodiment of the application, the electric power spot market basic model data with different dimensions are assembled to obtain the assembling relation between the assembling objects and each assembling object; the assembly objects comprise market constraint data, safety constraint data, system balance data, market declaration data and clearing result data which are obtained by classifying the basic data of the electric power spot market of different market types, and the assembly relation between the assembly objects and each assembly object is stored in the basic model database to obtain the basic model database. According to the method, the electric power spot market with different dimensions is assembled to generate the assembling objects and the corresponding assembling relations, the assembling objects and the corresponding assembling relations are stored in the basic model database, and the data of the electric power spot market can be simply, conveniently and flexibly acquired by configuring the assembling relations, so that the efficiency of monitoring the electric power spot market is improved.

As described in detail below with respect to the previous embodiment, in which the index of the target power spot market is analyzed according to the service data of the target power spot market to obtain the index analysis result, in one embodiment, as shown in fig. 5, the method for analyzing the index of the target power spot market according to the service data of the target power spot market to obtain the index analysis result includes the following steps:

s501, obtaining an index calculation formula and a target assembly relation from a preset index calculation configuration library.

From the calculation complexity of index data, the index data can be divided into a single index and a composite index, wherein the single index is an index which has a simpler index formula and can be operated in one step; the composite index is an index which has a complex index formula and needs multi-step operation, and each step may need the result of the index of the previous step.

Alternatively, the index calculation configuration library may be constructed by filling basic data assembly relations of the power spot market into the index calculation configuration library, and the index calculation configuration library further includes a database table, a field name, a field annotation, a field type, whether a primary key is provided or not, and the like, and all indexes are configured, so that index calculation formulas of various power spot markets can be found through the index calculation configuration library. The index calculation formula can be freely generated using basic data models, constants, functions, parentheses, operators.

According to the embodiment, dimension indexes of a market structure and a supply and demand level-power type, including different power types such as coal, gas, nuclear power, wind power and photovoltaic power, can be obtained from a preset index configuration library, the installed structure of the whole network is statistically analyzed, and a unit installed capacity ratio index calculation formula is obtained from the preset index calculation configuration library:

wherein Capacity is_sumThe installed Capacity of a certain type of power supply, N is the number of the type of power supply type, Capacity_iThe installed capacity (rated capacity) of the ith unit; the target assembly relation corresponding to the unit installed capacity ratio index calculation formula is the unit, the unit capacity, the unit type, the unit and the unit capacity.

Optionally, a price consistency index (CCI) can be obtained from a preset index configuration library, where CCI mainly refers to the convergence degree of different market prices, and in a market mechanism for respectively clearing in the day ahead and in real time, the average clearing price (or time-by-time) of the day ahead and real-time markets is analyzed to form direct comparison between the two, so as to analyze deviations of the day ahead and real-time markets caused by the influences of factors such as prediction accuracy and temporary transactions; the index calculation formula for the consistency analysis of the average clearing price of the market and the average clearing price of the market in real time in the day is as follows:

wherein, LMP_rtAverage clearing price, LMP, for real-time markets_daThe average clearing price of the market at the day before is obtained.

The formula can be broken down into four sub-formulas according to the service content: the indexes of the average clearing price of the real-time market, the average clearing price of the day-ahead market, the price consistency of the time point and the final price consistency. The index calculation formula of the consistency analysis of the average clearing price of the market and the average clearing price of the market in the day before is the corresponding target assembly relation: the target assembly relation corresponding to the average clearing price sub-formula of the real-time market is time, unit, real-time clearing result and electricity price, the target assembly relation corresponding to the average clearing price sub-formula of the day-ahead market is time, unit, day-ahead clearing result and electricity quantity, the time point price consistency is obtained according to the average clearing price sub-formula of the real-time market and the average clearing price sub-formula of the day-ahead market, and the final price consistency index is obtained according to the time point price consistency.

The index calculation sub-formula is composed of basic model data, and a complex index formula must be split into a plurality of formulas, so that the index calculation formula generates concepts of steps, each step generates an index sub-formula, and the sub-formula of the previous step can be applied to the next step.

Optionally, market structure and supply and demand levels-each of the types of output monthly output power ratio: the monthly clear electricity consumption ratio refers to the ratio of the monthly electricity consumption of the units participating in the market and different power types to the monthly electricity consumption of all the units participating in the market, wherein the current units participating in the market in Guangdong spot goods are divided into a coal-fired unit and a gas-fired unit, and the types of the units in the market in the future can be expanded according to rules.

In an embodiment, the index calculation formula and the target assembly relationship are obtained from a preset index calculation configuration library, and the obtaining may be directly obtaining the index calculation formula and the corresponding target assembly relationship from the preset index calculation configuration library.

In another embodiment, the index calculation formula and the target assembly relationship are obtained from a preset index calculation configuration library, and the obtaining mode may also be that the preset index calculation configuration library outputs the index calculation formula and the corresponding assembly relationship, where the index calculation formula and the assembly relationship output from the preset index calculation configuration library are obtained from the preset index calculation configuration library.

And S502, analyzing according to the target assembly relation, the index calculation formula and the service data of the target power spot market, and analyzing the index of the target power spot market to obtain an index analysis result.

According to the target assembly relation, the index calculation formula and the business data of the target power spot market, the index of the target power spot market is analyzed to obtain an index analysis result, the analysis mode can be that the target assembly relation and the business data of the target power spot market are substituted into the index calculation formula, the business data of the target power spot market are operated, then the whole operation expression character string is reversely analyzed to generate an inverse Polish formula, and the index calculation result is obtained through operation.

The inverse Polish expression is also called a suffix expression, and has the advantage that the operation of any common expression can be determined by only two simple operations, namely, stacking and popping.

The inverse Polish expression operates as follows:

(1) firstly, constructing an operator stack, wherein the operator follows the principle that the priority is higher when going to the top of the stack;

(2) reading in a simple arithmetic expression represented by infixes, and setting the right end of the simple arithmetic expression to be added with a special symbol "#" with the lowest priority for convenience;

(3) scanning the arithmetic expression from left to right, judging from the first character, if the character is a digit, analyzing to the end of the digit string and directly outputting the digit string;

(4) if not, the character is an operator, and the priority relationship needs to be compared at the moment;

the reverse Polish expression is specifically implemented as follows: the character is compared to the precedence of the operator at the top of the operator stack. If the character precedence relationship is higher than the operator at the top of the operator stack, the operator is pushed. If not, popping the operator at the top of the stack from the stack until the priority of the operator of the stack item is lower than that of the current operator, and stacking the character;

(5) and (3) repeating the steps (1) to (2) until the whole simple arithmetic expression is scanned, and determining that all characters are correctly processed, so that the simple arithmetic expression represented by the infix formula can be converted into the simple arithmetic expression represented by the inverse Polish.

In one embodiment, the analyzing the target power spot market index may be analyzing a capacity ratio index of a coal burner assembling machine, and the specific process may be: firstly, selecting three objects of a unit, unit capacity and unit type from basic model data of the electric power spot market with four dimensions, wherein the unit type fills in fire coal, and then generating an object A (installed capacity of the fire coal unit); secondly, selecting a unit and unit capacity from the basic model data of the electric power spot market with four dimensions, and generating an object B (installed capacity of all units); filling sum (A)/sum (B) in the expression input box, and finally executing sum (A)/sum (B) to obtain the capacity ratio index analysis result of the coal burner assembling machine in the target electric power spot market.

In another embodiment, the analysis of the target index of the power spot market may also be an index for analyzing the consistency between the average clearing price of the market in the day ahead and the average clearing price of the market in real time, and the specific process may be as follows: firstly, calculating the average clearing price of the real-time market and the average clearing price of the day-ahead market, then obtaining the price consistency of the time points according to the average clearing price of the real-time market and the average clearing price of the day-ahead market, and determining the analysis index of the consistency of the average clearing price of the day-ahead market and the average clearing price of the real-time market according to the price consistency of the time points; the specific process is as follows:

average clearing price of real-time market: selecting time, a unit, a real-time clearing result and electric quantity from four basic models, wherein 1 is filled in the time, and then generating an object A (the real-time clearing electric quantity is output at the first time of the unit); selecting time, a unit, a real-time clearing result and an electricity price from the four basic models, wherein 1 is filled in the time, and then generating an object B (the real-time clearing electricity price at the first time of the unit); filling C ═ sum (A)/sum (A ═ B) in an expression input box, wherein the formula is the average clearing price of the real-time market at the first time point, and finally, sequentially generating the average clearing prices of the real-time market at 96 times.

Average clearing price in market at day-ahead: the first step is to select time, units, day-ahead output results and electric quantity from four basic models, wherein 1 is filled in the time, and then an object D (day-ahead output electric quantity at the first time of the units) is generated; secondly, selecting time, a unit, a day-ahead clearing result and electricity price from the four basic models, wherein 1 is filled in the time, and then generating an object E (the day-ahead clearing electricity price at the first time of the unit); and filling F ═ sum (D)/sum (D) in an expression input box, wherein the formula is the average clearing price of the market at the first moment in the day, and finally, the average clearing prices of the market at 96 moments in the day are sequentially generated.

Consistency of time point prices: and in an expression input box G ═ C-F)/F, the formula is the price consistency index of the first time point, and finally, the price consistency indexes of 96 time points are sequentially generated.

The consistency analysis indexes of the average clearing price of the market and the average clearing price of the market in real time are as follows: AVG (G) is input in the expression, and the value of the expression is the consistency analysis index of the average clearing price of the market in the day before and the average clearing price of the market in real time.

According to the electric power spot market monitoring method provided by the embodiment of the application, the index calculation formula and the target assembly relation are obtained from the preset index calculation configuration library, analysis is carried out according to the target assembly relation, the index calculation formula and the business data of the target electric power spot market, the index of the target electric power spot market is analyzed, and the index analysis result is obtained. According to the method, the index calculation formula and the target assembly relation are obtained from the preset index configuration library, the index analysis result is further obtained, and the business data of the electric power spot market can be rapidly obtained through the target assembly relation, so that the data of the electric power spot market can be simply, conveniently and flexibly obtained, and the monitoring efficiency of the electric power spot market is improved.

Based on the foregoing embodiments, in one embodiment, as shown in fig. 6, the determining the monitoring result of the target power spot market according to the index analysis result includes the following steps:

s601, comparing the index analysis result with a preset index threshold value.

The index threshold is a measure of the quality of the index. Optionally, the preset index threshold may be a fixed value or an interval value, and the index thresholds corresponding to each index analysis result are different, and in practical application, the index threshold is not limited in any way in the embodiment of the present application.

In an embodiment, the index analysis result is compared with a preset index threshold, and the comparison may be performed by using a neural network model, and the index analysis result and the preset index threshold are used as inputs of the neural network model, and the comparison result is obtained through training of the neural network model.

In another embodiment, the index analysis result is compared with a preset index threshold, and the comparison may be performed by directly comparing the index analysis result with the preset index threshold, for example, the index analysis result is 10, the preset index threshold is 20, and the index analysis result is directly compared with the preset index threshold, i.e., 10 is compared with 20.

S602, if the comparison result is inconsistent, outputting alarm information; the alarm information is used for representing that illegal operation exists in the target electric power spot market.

Optionally, the comparison result of the index analysis result and the preset index threshold is inconsistent, and may be that the index analysis result does not satisfy the preset threshold condition, for example, the index analysis result is 10, the preset index threshold is 20, and the comparison result is inconsistent if the index analysis result is not equal to the preset index threshold or the index analysis result is smaller than the preset index threshold; or, the index analysis result is 10, the preset index threshold is 11 to 20, and the index analysis result is not within the range of the preset index threshold, so that the comparison result between the index analysis result and the preset index threshold is inconsistent. In practical applications, the present application does not limit this.

And if the comparison result of the index analysis threshold value and the preset index threshold value is inconsistent, outputting alarm information, wherein the alarm information represents that illegal operation exists in the target electric power spot market, and the illegal operation can be unreasonable quotation behavior of the electric power spot market, the market safety of the electric power spot market is not guaranteed, the prediction information of the electric power spot market is not in a reasonable range, and the like.

In one embodiment, the alert message may be a pop-up dialog box on the device window that displays "power spot market exception" and that disappears only if the user clicks the "ok" button in the dialog box.

In another embodiment, the alarm information may also be that the device sends an alarm sound to remind the user that the power spot market is in an abnormal state.

According to the electric power spot market monitoring method provided by the embodiment of the application, the index analysis result is compared with the preset index threshold value, and if the comparison result is inconsistent, alarm information is output; the alarm information is used for representing that illegal operation exists in the target electric power spot market. According to the method, the index analysis result is compared with the preset index threshold, and if the result is inconsistent, alarm information is output, so that the efficiency of monitoring the electric power spot market is improved.

As for the previous embodiment, the following describes in detail an embodiment of obtaining the business data of the target power spot market from the preset basic model database, and in an embodiment, the obtaining the business data of the target power spot market from the preset basic model database includes: responding to a data acquisition request triggered by a user, and acquiring service data of a target power spot market from a preset basic model database; the data acquisition request is triggered by a user in a front-end interface of the power spot market data application.

In a possible implementation manner, the service data of the target power spot market is acquired from a preset basic model database, where the acquisition manner may be a data acquisition request triggered by a user in a front-end interface of a power spot market data application program, as shown in fig. 7, the user selects at least one option of a time type, a result type, a data type, a power grid and the like in fig. 7, and by clicking a generated object, a select query statement can be generated, the preset basic model database is called, the service data of the target power spot market is queried in the preset basic model database, then the data is substituted into an index calculation formula, and finally, an index analysis result is obtained by analyzing the index calculation formula.

The operator, the brackets and the constants in the index calculation formula can be manually filled by a user, the mathematical function provides a dragging interface by the system, and the user puts the mathematical function into the index calculation formula through dragging.

In one embodiment, the implementation further includes analyzing the electric power spot market business data, analyzing and disassembling the electric power spot market business data into a basic model, obtaining a relationship between the basic data model and the basic model, and obtaining a model database table based on the relationship between the basic data model and the basic model, as shown in fig. 8; designing an index calculation formula based on a basic data model, and filling auxiliary tools such as operators and functions; then, acquiring service data of the electric power spot market through a model database, analyzing an index calculation formula into an inverse Polish expression based on the service data of the electric power spot market, and calculating to obtain an index result; and finally, comparing the result with an index threshold value, and carrying out alarm prompt when the comparison result is inconsistent, wherein the analysis result can represent the operation condition of the electric power spot market.

The basic model comprises a file model, an attribute model, a transaction model, a boundary model, a clearing model and a result model, the basic model is a set of data model designed based on the business data structure of the electric power spot market, and any specific data in the electric power spot market can be acquired through the data model; the data model comprises market categories such as day-ahead, real-time and frequency modulation, boundary data before clearing are obtained through a preset interface, result data after clearing are sequentially input into a pre-constructed index flexible algorithm data model, and the data model is established in four dimensions: any one of time, market subject, data type and result type in the electric power spot market can be described according to four dimensions, so that a specific numerical value is obtained, and finally the system substitutes the numerical value into an index calculation formula to calculate to obtain an index calculation result; the relationships among the basic models comprise business relationships and field relationships, the structure of the model database table comprises fields, a primary key, an enumeration type, an implementation object path and comments, and the index formula further comprises constants, operators, brackets, functions and the like.

As shown in fig. 9, in one embodiment, a power spot market monitoring method is further included, and the embodiment includes:

and S901, dividing the data of the electric power spot market into four-dimensional data according to time, market subjects, data types and result types, wherein the four-dimensional data comprises basic data of the electric power spot market according to different market categories such as day ahead, real time and frequency modulation.

S902, assembling each datum in the four dimensions to generate an assembly object, and storing the assembly relation and a numerical value corresponding to the assembly object in a basic model database;

the assembly objects are obtained according to the assembly relation of all data in four dimensions, and comprise market constraint data, safety constraint data, system balance data, market declaration data and clearing result data according to different market categories such as day ahead, real-time and frequency modulation.

And S903, acquiring an index calculation formula and an assembly relation thereof from the index calculation configuration library, and acquiring a numerical value of a corresponding assembly object from the basic model database according to the assembly relation.

And S904, obtaining an index calculation result according to the obtained numerical value of the assembly object and the index calculation formula.

And S905, comparing the index calculation result with a preset index threshold value.

And S906, if the comparison results are not consistent, outputting alarm information.

The implementation principle and technical effect of each step in the electric power spot market monitoring method provided in this embodiment are similar to those in the foregoing embodiments of the electric power spot market monitoring method, and are not described herein again.

It should be understood that, although the respective steps in the flowcharts in the above-described embodiments are sequentially shown as indicated by arrows, the steps are not necessarily performed sequentially as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a part of the steps of the flowcharts in the above embodiments may include multiple steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of performing the steps or stages is not necessarily sequential, but may be performed alternately or alternately with other steps or at least a part of the steps or stages in other steps.

In addition, the present embodiment also provides an electric power spot market monitoring device, as shown in fig. 10, in an embodiment, the electric power spot market monitoring device 1000 includes: an obtaining module 1001, an analyzing module 1002, and a determining module 1003, wherein:

a first obtaining module 1001, configured to obtain service data of a target power spot market from a preset basic model database; the basic model database is generated according to the basic model data of the electric power spot market with different dimensionalities;

the analysis module 1002 is configured to analyze an index of the target power spot market according to the service data of the target power spot market, so as to obtain an index analysis result;

the determining module 1003 is configured to determine a monitoring result of the target power spot market according to the index analysis result.

In one embodiment, the power spot market monitoring device 1000 further comprises:

the second acquisition module is used for acquiring basic data of the electric power spot market in different market types;

the dividing module is used for dividing the basic data of the electric power spot market of different market categories according to preset dimensionality to obtain basic model data of the electric power spot market of different dimensionalities;

and the generation module is used for assembling the basic model data of the electric power spot market in different dimensions and generating a basic model database according to the assembled result.

In one embodiment, the generating module comprises:

the assembling unit is used for assembling the basic model data of the power spot market with different dimensions to obtain assembling objects and assembling relations of the assembling objects; the assembly objects comprise market constraint data, safety constraint data, system balance data, market declaration data and clearing result data which are obtained by classifying the basic data of the electric power spot market of different market types;

and the storage unit is used for storing the assembly objects and the assembly relation of each assembly object into the basic model database to obtain the basic model database.

In one embodiment, the analysis module 1002 includes:

the acquisition unit is used for acquiring an index calculation formula and a target assembly relation from a preset index calculation configuration library;

and the analysis unit is used for analyzing according to the target assembly relation, the index calculation formula and the service data of the target power spot market, analyzing the index of the target power spot market and obtaining an index analysis result.

In one embodiment, the determining module 1003 includes:

the comparison unit is used for comparing the index analysis result with a preset index threshold value;

the output unit is used for outputting alarm information if the comparison results are inconsistent; the alarm information is used for representing that illegal operation exists in the target electric power spot market.

In one embodiment, the first obtaining module 1001 includes:

the response unit is used for responding to a data acquisition request triggered by a user and acquiring business data of a target electric power spot market from a preset basic model database; the data acquisition request is triggered by a user in a front-end interface of the power spot market data application.

For specific limitations of the electric power spot market monitoring device, reference may be made to the above limitations of the electric power spot market monitoring method, which are not described herein again. The various modules in the above-described power spot market monitoring apparatus may be implemented in whole or in part by software, hardware, and combinations thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.

In one embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be as shown in fig. 11. The computer device includes a processor, a memory, a communication interface, a display screen, and an input device connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The communication interface of the computer device is used for carrying out wired or wireless communication with an external terminal, and the wireless communication can be realized through WIFI, an operator network, NFC (near field communication) or other technologies. The computer program is executed by a processor to implement a method of power spot market monitoring. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, a key, a track ball or a touch pad arranged on the shell of the computer equipment, an external keyboard, a touch pad or a mouse and the like.

Those skilled in the art will appreciate that the architecture shown in fig. 11 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.

In one embodiment, a computer device is provided, comprising a memory and a processor, the memory having a computer program stored therein, the processor implementing the following steps when executing the computer program:

In one embodiment, the processor, when executing the computer program, performs the steps of:

acquiring basic data of electric power spot markets of different market types;

comparing the index analysis result with a preset index threshold value;

The implementation principle and technical effect of the computer device provided by the above embodiment are similar to those of the above method embodiment, and are not described herein again.

In one embodiment, a computer-readable storage medium is provided, having a computer program stored thereon, which when executed by a processor, performs the steps of:

a method of monitoring a power spot market, the method comprising:

In one embodiment, the computer program when executed by a processor implements the steps of:

acquiring basic data of electric power spot markets of different market types;

comparing the index analysis result with a preset index threshold value;

The implementation principle and technical effect of the computer-readable storage medium provided by the above embodiments are similar to those of the above method embodiments, and are not described herein again.

In one embodiment, a computer program product is provided, comprising a computer program which, when executed by a processor, performs the steps of:

In one embodiment, the computer program when executed by the processor further performs the steps of:

acquiring basic data of electric power spot markets of different market types;

comparing the index analysis result with a preset index threshold value;

The foregoing embodiments provide a computer program product, which has similar implementation principles and technical effects to those of the foregoing method embodiments, and will not be described herein again.

It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database or other medium used in the embodiments provided herein can include at least one of non-volatile and volatile memory. Non-volatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical storage, or the like. Volatile Memory can include Random Access Memory (RAM) or external cache Memory. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM), among others.

The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.

The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.

Claims

1. A method of electric power spot market monitoring, the method comprising:

and determining the monitoring result of the target power spot market according to the index analysis result.

2. The method according to claim 1, wherein before the obtaining the business data of the target power spot market from the preset base model database, the method further comprises:

acquiring basic data of electric power spot markets of different market types;

dividing the basic data of the electric power spot market of different market categories according to preset dimensions to obtain basic model data of the electric power spot market of different dimensions;

and assembling the different dimensionalities of the electric power spot market basic model data, and generating the basic model database according to the assembled result.

3. The method according to claim 2, wherein the assembling the different-dimension electric power spot market basic model data, and the generating the basic model database according to the assembling result comprises:

assembling the different dimensionalities of the electric power spot market basic model data to obtain an assembling object and an assembling relation of each assembling object; the assembly objects comprise market constraint data, safety constraint data, system balance data, market declaration data and clearing result data which are obtained by classifying the basic data of the electric power spot market of different market types;

and storing the assembly objects and the assembly relation of each assembly object into a basic model database to obtain the basic model database.

4. The method according to any one of claims 1 to 3, wherein the analyzing the index of the target power spot market according to the business data of the target power spot market to obtain an index analysis result comprises:

and analyzing according to the target assembly relation, the index calculation formula and the service data of the target power spot market, and analyzing the index of the target power spot market to obtain the index analysis result.

5. The method according to any one of claims 1 to 3, wherein the determining a monitoring result of the target power spot market according to the index analysis result comprises:

comparing the index analysis result with a preset index threshold value;

6. The method according to any one of claims 1 to 3, wherein the obtaining of the business data of the target power spot market from the preset basic model database comprises:

7. An electric power spot market monitoring device, the device comprising:

the analysis module is used for analyzing the index of the target power spot market according to the business data of the target power spot market to obtain an index analysis result;

8. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor, when executing the computer program, implements the steps of the method of any of claims 1 to 6.

9. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 6.

10. A computer program product comprising a computer program, characterized in that the computer program realizes the steps of the method of any one of claims 1 to 6 when executed by a processor.