Electric energy income analysis method and system of thermal power generating unit

Abstract

The invention provides an electric energy income analysis method for a thermal power generating unit, and the method comprises the steps: generating an electric quantity-electricity price curve according to a bidding result of a current-day electric power spot market, and dividing the curve into a plurality of electric quantity-electricity price broken line segments according to inflection points of the curve; matching the three sections of declaration electric quantity of each power generation unit with the electric quantity of the electric quantity-electricity price broken line small section to obtain the actual electric quantity-electricity price declaration condition of each power generation unit; according to the historical data of each power generation unit, calculating the unclear electric quantity of the aggressive power generation party; matching the non-clearing electric quantity of the aggressive power generation party on the current day with the non-clearing electric quantity in the electric quantity-electricity price broken line segment to obtain the non-clearing declaration electricity price of the aggressive power generation party; and in combination with the actual electric quantity-electricity price declaration condition of each power generation unit and the non-clear declaration electricity price of the aggressive power generation party, analyzing the current-day electric energy revenue distribution condition of the electric power spot market so as to optimize the power supply strategy of the power generation unit.

Description

Technical Field

[0001] The present invention relates to the technical field of power systems, and more particularly to an electric energy benefit analysis method and system for a thermal power unit. Background Art

[0002] The uncertainty of renewable energy generation increases the complexity of grid operations. Thermal power generation units need to adapt to the development of renewable energy by participating in ancillary services such as peak load regulation. Currently, thermal power generation units conduct transactions through centralized bidding in the electricity spot market. To better respond to the development needs of the spot market, enhance their competitiveness, and maximize their efficiency, power generation units need to analyze daily centralized bidding results in the electricity spot market to understand the latest power production capacity and output of each unit. This allows them to adjust their power supply strategies, increase their winning bids in the electricity market, and boost their profits.

[0003] Therefore, how to provide an energy benefit analysis scheme for thermal power units is a problem worth studying. Summary of the Invention

[0004] In response to the technical problems existing in the prior art, the present invention provides a method and system for analyzing the electric energy revenue of a thermal power unit. The method analyzes the revenue of each power generation unit through the bidding results of the electricity spot market on the same day and the power consumption of each power generation unit, so as to optimize the power supply strategy of the power generation unit.

[0005] According to a first aspect of the present invention, a method for analyzing the electric energy benefit of a thermal power unit is provided, comprising: Generate an electricity quantity-electricity price curve based on the current day's electricity spot market bidding results, and divide the electricity quantity-electricity price curve into multiple electricity quantity-electricity price broken line segments based on the curve inflection points; According to the three-segment electricity price quotation rule, the three-segment declared electricity quantity of each power generation unit is matched with the electricity quantity of the small segment of the electricity quantity-electricity price broken line respectively, and the actual electricity quantity-electricity price declared situation of each power generation unit is obtained; Based on the historical data of each power generation unit, the aggressive power generation units are screened out, and the outstanding electricity of the aggressive power generation units is calculated; the outstanding electricity of the aggressive power generation units on the day is matched with the outstanding electricity in the small segment of the electricity quantity-electricity price line to obtain the outstanding electricity price declared by the aggressive power generation units; Combined with the actual electricity volume and electricity price declared by each power generation unit and the uncleared electricity prices declared by aggressive power generators, the distribution of electricity energy revenue in the electricity spot market on that day was analyzed.

[0006] On the basis of the above technical solution, the present invention can also make the following improvements.

[0007] Optionally, the inflection point of the curve is a point where electricity price changes suddenly.

[0008] Optionally, the three-stage electricity price quotation rules include: According to the proportion of electricity consumption, the electricity price is divided into three quotation segments, including break-even segment, profit segment and peak-exploring segment. Among them, the proportion of electricity consumption in the break-even segment, profit segment and peak-exploring segment is a1, a2 and a3 respectively, then a1+a2+a3=1 is satisfied, and the prices of the three quotation segments satisfy: break-even segment < profit segment < peak-exploring segment.

[0009] Optionally, matching the three segments of declared electricity of each power generation unit with the electricity of the small segments of the electricity-price broken line includes: The three segments of declared electricity quantity of the same power generation unit are matched with the electricity quantity of multiple segments of the electricity quantity-electricity price broken line in sequence. When the declared electricity quantity of a certain segment is close to the electricity quantity of a certain segment of the electricity quantity-electricity price broken line, it is considered that the price of the current segment of the electricity quantity-electricity price broken line is the actual quotation corresponding to the declared electricity quantity of the current power generation unit in the current segment.

[0010] Optionally, screening out aggressive power generators based on historical data of each power generation unit and calculating outstanding electricity of the aggressive power generators includes: Obtaining historical data of each power generation unit, the historical data at least including historical daily declared electricity volume and historical daily transaction electricity volume; Determine as aggressive power generators those whose historical daily transaction power is less than the daily transaction power threshold, where the daily transaction power threshold is no greater than the minimum daily declared power of each power generator; The outstanding electricity of each radical power generator is obtained by subtracting the historical daily declared electricity of each radical power generator from its transaction electricity of the day.

[0011] Optionally, the historical daily reported electricity quantity is the average value of the reported electricity quantity stable value in the historical daily power generation side database (i-Cj-Qij).

[0012] Optionally, the historical daily transaction electricity volume is the average value of the transaction electricity volume stable value in the historical daily power generation side database (i-Cj-Qij).

[0013] According to a second aspect of the present invention, there is provided an electric energy benefit analysis system for a thermal power unit, comprising: A preprocessing module is used to generate an electricity quantity-electricity price curve based on the bidding results of the electricity spot market on that day, and to divide the electricity quantity-electricity price curve into a plurality of electricity quantity-electricity price broken line segments according to the inflection points of the curve; The first matching module is used to match the three-segment electricity quantity declared by each power generation unit with the electricity quantity of the small segment of the electricity quantity-electricity price broken line according to the three-segment electricity price quotation rule, so as to obtain the actual electricity quantity-electricity price declared by each power generation unit; The second matching module is configured to screen out aggressive power generators based on historical data of each power generation unit and calculate the outstanding electricity of the aggressive power generators; match the outstanding electricity of the aggressive power generators on the current day with the outstanding electricity in the electricity quantity-price broken line segment to obtain the outstanding electricity price declared by the aggressive power generators; The analysis module is used to analyze the distribution of electricity revenue in the electricity spot market on that day by combining the actual electricity volume and electricity price declaration of each power generation unit and the uncleared electricity price declared by the aggressive power generation party.

[0014] According to a third aspect of the present invention, an electronic device is provided, comprising a memory and a processor, wherein the processor is configured to implement the steps of the above-mentioned method for analyzing the electric energy benefit of a thermal power unit when executing a computer management program stored in the memory.

[0015] According to a fourth aspect of the present invention, a computer-readable storage medium is provided, on which a computer management program is stored. When the computer management program is executed by a processor, the steps of the electric energy benefit analysis method of the thermal power unit are implemented.

[0016] The present invention provides a method, system, electronic equipment and storage medium for analyzing the electric energy benefit of thermal power units. By performing electric energy benefit analysis on multiple power generation units based on thermal power units, the method promotes the optimal allocation of electric resources on a large scale, optimizes the power supply strategies of power generation units in the power system, provides scientific and reliable data support for power production capacity allocation, and provides data support for the calculation of comprehensive benefit maximization. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 A flow chart of an electric energy benefit analysis method for a thermal power unit provided by the present invention; Figure 2 A block diagram of the electric energy benefit analysis system for a thermal power unit provided by the present invention; Figure 3 A schematic diagram of the hardware structure of a possible electronic device provided by the present invention; Figure 4 A schematic diagram of the hardware structure of a possible computer-readable storage medium provided by the present invention. DETAILED DESCRIPTION

[0018] The following embodiments of the present invention are described in further detail with reference to the accompanying drawings and examples. The following examples are used to illustrate the present invention but are not intended to limit the scope of the present invention.

[0019] Assume that there are n+1 power generation units in the electricity market. For a power plant, there are n competitors, denoted as C1, C2…Cn, with installed capacities IC1, IC2…ICn. Today is day x, and historical bidding from the reference day to the current day is denoted as 1, 2…x. The starting reference day for the replay is determined by the power plant. On day i ( ) day, power generation unit Cj ( ) is Qji. For power plants that have not received generated power, their traded power is recorded as 0. The total market traded power is Qi, the power reported by the generation side is Qfi, the power reported by the demand side is Qxi, and the market clearing price is qi. The daily generation-side (company name - traded power) database can be represented as (i - Cj - Qij). The data generated on a given day is the reported power Qx, the electricity price qx, and the Qq (power-price) curve.

[0020] Based on the above background, Figure 1 As shown, the present invention provides a flow chart of an electric energy benefit analysis method for a thermal power unit, the method comprising steps S1 to S4: S1, generating an electricity quantity-price curve based on the current day's electricity spot market bidding results, segmenting the electricity quantity-price curve according to the curve inflection points, and breaking up each segment into multiple electricity quantity-price broken line segments, wherein the curve inflection points are electricity price mutation points; S2, according to the three-segment electricity price quotation rule, matching the three-segment declared electricity quantity of each power generation unit with the electricity quantity of the small segment of the electricity quantity-electricity price line respectively, to obtain the actual electricity quantity-electricity price declared by each power generation unit; S3, based on the historical data of each power generation unit, screen out the aggressive power generation units and calculate the outstanding electricity of the aggressive power generation units; match the outstanding electricity of the aggressive power generation units on the current day with the outstanding electricity in the small segment of the electricity quantity-electricity price line to obtain the outstanding electricity price declared by the aggressive power generation units; S4, combining the actual electricity consumption and electricity price declaration of each power generation unit and the uncleared electricity price declared by the aggressive power generation party, analyzes the distribution of electricity energy revenue in the electricity spot market on that day.

[0021] As can be understood, based on the shortcomings of the background technology, the present invention proposes a method for analyzing the energy benefits of thermal power units. By analyzing the energy benefits of multiple thermal power generation units, this method promotes the optimal allocation of power resources on a large scale, optimizes the power supply strategies and segmented bidding strategies of power generation units in the power system, and provides scientific and reliable data support for power capacity allocation and comprehensive benefit maximization calculation.

[0022] In a possible embodiment, in step S2, the three-stage electricity price quotation rule includes: According to the proportion of electricity consumption, the electricity price is divided into three quotation segments, including break-even segment, profit segment and peak-exploring segment. Among them, the proportion of electricity consumption in the break-even segment, profit segment and peak-exploring segment is a1, a2 and a3 respectively, then a1+a2+a3=1 is satisfied, and the prices of the three quotation segments satisfy: break-even segment < profit segment < peak-exploring segment.

[0023] It can be understood that in the three-segment quotation, the first segment is a break-even quotation with a power consumption ratio of a1, the second segment is a profit-making quotation with a power consumption ratio of a2, and the third segment is a peak-seeking quotation with a power consumption ratio of a3. There is a1+a2+a3=1. It is generally believed that the power consumption declared by the power generation unit is Qji, the values ​​of a1 and a2 are larger, and a3 is smaller. Then the power consumption declared in the three segments are a1·Qji, a2·Qji and a3·Qji respectively, and the prices of the three segments satisfy: break-even segment < profit segment < peak-seeking segment.

[0024] In a possible embodiment, in step S2, matching the three segments of declared electricity of each power generation unit with the electricity of the small segments of the electricity-price broken line respectively includes: The three segments of declared electricity quantity of the same power generation unit are matched with the electricity quantity of multiple segments of the electricity quantity-electricity price broken line in sequence. When the declared electricity quantity of a certain segment is close to the electricity quantity of a certain segment of the electricity quantity-electricity price broken line, it is considered that the price of the current segment of the electricity quantity-electricity price broken line is the actual quotation corresponding to the declared electricity quantity of the current power generation unit in the current segment.

[0025] For example, each of the power segments a1·Qji, a2·Qji, and a3·Qji of power generation unit j is matched with a small segment of the power-price curve. If the power levels are close, this segment of power-price is considered to be the actual power-price declared by power generation unit j. Step S2 completes the power-price matching for all power generation units.

[0026] In a possible embodiment, in step S3, the step of screening out aggressive power generators based on historical data of each power generation unit and calculating the outstanding electricity of the aggressive power generators includes: Obtaining historical data of each power generation unit, the historical data at least including historical daily declared electricity volume and historical daily transaction electricity volume; Determine as aggressive power generators those whose historical daily transaction power is less than the daily transaction power threshold, where the daily transaction power threshold is no greater than the minimum daily declared power of each power generator; The outstanding electricity of each radical power generator is obtained by subtracting the historical daily declared electricity of each radical power generator from its transaction electricity of the day.

[0027] Understandably, in the upcoming day-ahead bidding market, assuming each generator submits a three-tier bid, with each bid exceeding the daily transaction threshold Q0 (e.g., 3 million kWh). When a generator's transaction Qji is less than 3 million kWh (including generators with zero transaction), it is assumed that its bid price is aggressive, resulting in a high market price exceeding the clearing price qi and a failure to clear. For competitors with larger installed capacity ICj and / or transaction volumes exceeding the transaction threshold Q0, the bid and transaction volumes are assumed to be identical.

[0028] For power plants with larger installed capacity and more advanced equipment, their declared electricity volume is higher, their production costs are lower, and their quotation strategy is conservative. They prioritize ensuring that the power plants’ electricity volume is cleared, so their quotations are relatively low. For example, the proportion of the three-segment quotation is set to a1=0.4, a2=0.4, and a3=0.2, which can be adjusted later based on actual conditions.

[0029] For power plants with smaller installed capacity and older equipment, their production costs are higher and their bid electricity is lower. To profit in the bidding market, they bid higher. For example, the three-stage bid electricity ratio is set to a1=0.3, a2=0.5, and a3=0.2, which can be adjusted later based on actual conditions.

[0030] The fluctuation range of the daily electricity quantity reported by the power generation unit is small. However, compared with its historical daily transaction quantity Qji, if Qji decreases significantly, it means that the power generation unit j tends to make a peak-seeking quotation, and part or all of the electricity quantity cannot be traded. Therefore, in step S3, the electricity quantity with the peak-seeking quotation is screened out, and then the uncleared electricity quantity can be calculated and the electricity price matching is performed.

[0031] In a possible embodiment, in step S3, the historical daily declared electricity amount is the average value of the stable value of the declared electricity amount in the historical daily power generation side database (i-Cj-Qij); the historical daily transaction electricity amount is the average value of the stable value of the transaction electricity amount in the historical daily power generation side database (i-Cj-Qij).

[0032] It is understandable that for power generation units with a conservative bidding strategy, due to their high production capacity and potentially low overall bids, their declared electricity can be fully sold, that is, their declared electricity is almost equal to the traded electricity. Therefore, step S2 can obtain the declared electricity and corresponding electricity price of the conservative power generation unit. However, for power generation units with an aggressive bidding strategy, some of their electricity bids are high, making it difficult to fully sell.

[0033] In step S3, for competitors with a smaller final transaction volume Qji (e.g., aggressive power generation units whose peak bids failed to clear their electricity), their peak bids exceed the clearing price, resulting in some or all of their declared electricity remaining unsold. In this case, the historical daily declared electricity volume is assumed to be the average of the steady-state values ​​of declared electricity volume in the historical daily generation-side database (i-Cj-Qij), and the historical daily transaction volume is assumed to be the average of the steady-state values ​​of transaction volume in the historical daily generation-side database (i-Cj-Qij). The undealt electricity volume is calculated by subtraction: Undealt electricity volume = Dealt electricity volume - Transaction electricity volume. This undealt electricity volume is matched against the uncleared portion of the electricity volume on the electricity-price curve. If the match is successful, the electricity price declared by power generation unit j for this portion of the electricity volume will be the corresponding price on the curve.

[0034] After obtaining the declared electricity quantity and electricity price of each power generation unit through steps S1 to S3, step S4 can be carried out: analyzing the distribution of electricity energy revenue in the electricity spot market on that day, and then adjusting and optimizing the declared electricity quantity and quotation of the power generation unit based on the analysis results to enhance the market competitiveness of the power generation unit.

[0035] Figure 2 The structure diagram of the electric energy benefit analysis system of a thermal power unit provided by the embodiment of the present invention is as follows: Figure 2 As shown, an electric energy benefit analysis system for a thermal power unit includes a preprocessing module, a first matching module, a second matching module and an analysis module, wherein: A preprocessing module is used to generate an electricity quantity-electricity price curve based on the bidding results of the electricity spot market on that day, and to divide the electricity quantity-electricity price curve into a plurality of electricity quantity-electricity price broken line segments according to the inflection points of the curve; The first matching module is used to match the three-segment electricity quantity declared by each power generation unit with the electricity quantity of the small segment of the electricity quantity-electricity price broken line according to the three-segment electricity price quotation rule, so as to obtain the actual electricity quantity-electricity price declared by each power generation unit; The second matching module is configured to screen out aggressive power generators based on historical data of each power generation unit and calculate the outstanding electricity of the aggressive power generators; match the outstanding electricity of the aggressive power generators on the current day with the outstanding electricity in the electricity quantity-price broken line segment to obtain the outstanding electricity price declared by the aggressive power generators; The analysis module is used to analyze the distribution of electricity revenue in the electricity spot market on that day by combining the actual electricity volume and electricity price declaration of each power generation unit and the uncleared electricity price declared by the aggressive power generation party.

[0036] It can be understood that the electric energy benefit analysis system for a thermal power unit provided by the present invention corresponds to the electric energy benefit analysis method for a thermal power unit provided in the aforementioned embodiments. The relevant technical features of the electric energy benefit analysis system for a thermal power unit can refer to the relevant technical features of the electric energy benefit analysis method for a thermal power unit, and will not be repeated here.

[0037] See also Figure 3 , Figure 3 Schematic diagram of an embodiment of an electronic device provided by an embodiment of the present invention. Figure 3 As shown, an embodiment of the present invention provides an electronic device 300, including a memory 310, a processor 320, and a computer program 311 stored in the memory 310 and executable on the processor 320. When the processor 320 executes the computer program 311, the following steps are implemented: Generate an electricity quantity-electricity price curve based on the current day's electricity spot market bidding results, and divide the electricity quantity-electricity price curve into a plurality of electricity quantity-electricity price broken line segments according to the curve inflection points; According to the three-segment electricity price quotation rule, the three-segment declared electricity quantity of each power generation unit is matched with the electricity quantity of the small segment of the electricity quantity-electricity price broken line respectively, and the actual electricity quantity-electricity price declared situation of each power generation unit is obtained; Based on the historical data of each power generation unit, the aggressive power generation units are screened out, and the outstanding electricity of the aggressive power generation units is calculated; the outstanding electricity of the aggressive power generation units on the day is matched with the outstanding electricity in the small segment of the electricity quantity-electricity price line to obtain the outstanding electricity price declared by the aggressive power generation units; Combined with the actual electricity volume and electricity price declared by each power generation unit and the uncleared electricity prices declared by aggressive power generators, the distribution of electricity revenue in the electricity spot market on that day is analyzed.

[0038] See also Figure 4 , Figure 4 Schematic diagram of an embodiment of a computer-readable storage medium provided by the present invention. Figure 4 As shown, this embodiment provides a computer-readable storage medium 400 on which a computer program 411 is stored. When the computer program 411 is executed by a processor, the following steps are implemented: Generate an electricity quantity-electricity price curve based on the current day's electricity spot market bidding results, and divide the electricity quantity-electricity price curve into a plurality of electricity quantity-electricity price broken line segments according to the curve inflection points; According to the three-segment electricity price quotation rule, the three-segment declared electricity quantity of each power generation unit is matched with the electricity quantity of the small segment of the electricity quantity-electricity price broken line respectively, and the actual electricity quantity-electricity price declared situation of each power generation unit is obtained; Based on the historical data of each power generation unit, the aggressive power generation units are screened out, and the outstanding electricity of the aggressive power generation units is calculated; the outstanding electricity of the aggressive power generation units on the day is matched with the outstanding electricity in the small segment of the electricity quantity-electricity price line to obtain the outstanding electricity price declared by the aggressive power generation units; Combined with the actual electricity volume and electricity price declared by each power generation unit and the uncleared electricity prices declared by aggressive power generators, the distribution of electricity energy revenue in the electricity spot market on that day was analyzed.

[0039] The embodiments of the present invention provide a method, system, electronic device, and storage medium for analyzing the electric energy benefits of thermal power units. By performing electric energy benefit analysis on multiple power generation units based on thermal power units, the method promotes the optimized allocation of electric resources on a large scale, optimizes the power supply strategies of power generation units in the power system, provides scientific and reliable data support for power production capacity allocation, and provides data support for the calculation of comprehensive benefit maximization.

[0040] It should be noted that, in the above embodiments, the description of each embodiment has its own focus. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant description of other embodiments.

[0041] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Thus, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0042] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowcharts and / or block diagrams, as well as combinations of processes and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded computer, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowcharts and / or block diagrams. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0043] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0044] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0045] Although the preferred embodiments of the present invention have been described, those skilled in the art may make additional changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0046] Obviously, those skilled in the art may make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if such changes and modifications fall within the scope of the claims and their equivalents, the present invention is intended to include such changes and modifications.

Claims

1. A method for analyzing the electric energy benefit of a thermal power unit, characterized in that: include: Generate an electricity quantity-electricity price curve based on the current day's electricity spot market bidding results, and divide the electricity quantity-electricity price curve into a plurality of electricity quantity-electricity price broken line segments according to the curve inflection points; According to the three-segment electricity price quotation rule, the three-segment declared electricity quantity of each power generation unit is matched with the electricity quantity of the small segment of the electricity quantity-electricity price broken line respectively, and the actual electricity quantity-electricity price declared situation of each power generation unit is obtained; Based on the historical data of each power generation unit, the aggressive power generation units are screened out, and the outstanding electricity of the aggressive power generation units is calculated; the outstanding electricity of the aggressive power generation units on the day is matched with the outstanding electricity in the small segment of the electricity quantity-electricity price line to obtain the outstanding electricity price declared by the aggressive power generation units; Combined with the actual electricity volume and electricity price declared by each power generation unit and the uncleared electricity prices declared by aggressive power generators, the distribution of electricity revenue in the electricity spot market on that day is analyzed.

2. The method for analyzing the electric energy benefit of a thermal power unit according to claim 1, characterized in that: The inflection point of the curve is the electricity price mutation point.

3. The method for analyzing the electric energy benefit of a thermal power unit according to claim 1 or 2, characterized in that: The three-stage electricity price quotation rules include: According to the proportion of electricity consumption, the electricity price is divided into three quotation segments, including break-even segment, profit segment and peak-exploring segment. Among them, the proportion of electricity consumption in the break-even segment, profit segment and peak-exploring segment is a1, a2 and a3 respectively, then a1+a2+a3=1 is satisfied, and the prices of the three quotation segments satisfy: break-even segment < profit segment < peak-exploring segment.

4. The method for analyzing the electric energy benefit of a thermal power unit according to claim 3, characterized in that: The matching of the three segments of declared electricity of each power generation unit with the electricity of the small segments of the electricity-price broken line includes: The three segments of declared electricity quantity of the same power generation unit are matched with the electricity quantity of multiple segments of the electricity quantity-electricity price broken line in sequence. When the declared electricity quantity of a certain segment is close to the electricity quantity of a certain segment of the electricity quantity-electricity price broken line, it is considered that the price of the current segment of the electricity quantity-electricity price broken line is the actual quotation corresponding to the declared electricity quantity of the current power generation unit in the current segment.

5. The method for analyzing the electric energy benefit of a thermal power unit according to claim 3, characterized in that: The above method is to screen out aggressive power generators based on the historical data of each power generation unit and calculate the outstanding electricity of the aggressive power generators, including: Obtaining historical data of each power generation unit, wherein the historical data at least includes historical daily declared electricity volume and historical daily transaction electricity volume; Determine as aggressive power generators those whose historical daily transaction power is less than the daily transaction power threshold, where the daily transaction power threshold is no greater than the minimum daily declared power of each power generator; The outstanding electricity of each radical power generator is obtained by subtracting the historical daily declared electricity of each radical power generator from its transaction electricity of the day.

6. The method for analyzing the electric energy benefit of a thermal power unit according to claim 5, characterized in that: The historical daily reported electricity quantity is the average value of the reported electricity quantity stable value in the historical daily power generation side database (i-Cj-Qij).

7. The method for analyzing the electric energy benefit of a thermal power unit according to claim 5 or 6, characterized in that: The historical daily transaction electricity volume is the average value of the stable value of the transaction electricity volume in the historical daily power generation side database (i-Cj-Qij).

8. An electric energy benefit analysis system for a thermal power unit, characterized in that: include: A preprocessing module is used to generate an electricity quantity-electricity price curve based on the bidding results of the electricity spot market on that day, and to divide the electricity quantity-electricity price curve into a plurality of electricity quantity-electricity price broken line segments according to the inflection points of the curve; The first matching module is used to match the three-segment electricity quantity declared by each power generation unit with the electricity quantity of the small segment of the electricity quantity-electricity price broken line according to the three-segment electricity price quotation rule, so as to obtain the actual electricity quantity-electricity price declared by each power generation unit; The second matching module is configured to screen out aggressive power generators based on historical data of each power generation unit and calculate the outstanding electricity of the aggressive power generators; match the outstanding electricity of the aggressive power generators on the current day with the outstanding electricity in the electricity quantity-price broken line segment to obtain the outstanding electricity price declared by the aggressive power generators; The analysis module is used to analyze the distribution of electricity revenue in the electricity spot market on that day by combining the actual electricity volume and electricity price declaration of each power generation unit and the uncleared electricity price declared by the aggressive power generation party.

9. An electronic device, characterized in that: The invention comprises a memory and a processor, wherein the processor is used to implement the steps of the electric energy benefit analysis method of a thermal power unit as claimed in any one of claims 1 to 7 when executing a computer management program stored in the memory.

10. A computer-readable storage medium, characterized in that A computer management program is stored thereon, and when the computer management program is executed by the processor, the steps of the electric energy benefit analysis method of the thermal power unit according to any one of claims 1 to 7 are implemented.

Images