Power market pricing method capable of representing adjustment value and related equipment

Abstract

The invention discloses a power market pricing method capable of representing an adjustment value and related equipment. The method comprises the following steps: acquiring economic dispatching output of a thermal power generating unit; under the condition that the operation requirement of a power system is met, an autonomous scheduling model based on the adjustment value of the thermal power generating unit is established with the purpose of maximizing the total net income of the thermal power generating unit; establishing a pricing model of the thermal power generating unit by taking the regulation value of the thermal power generating unit as a decision variable and aiming at minimizing the opportunity cost of the thermal power generating unit according to economic dispatching output under the condition that the corresponding price constraint of market operation is met; the self-scheduling model based on the thermal power generating unit regulation value is converted into a series of constraints by utilizing a KKT condition, the series of constraints comprise a Lagrangian augmentation function gradient 0 constraint, an equation / inequality constraint and a complementary relaxation constraint, and the series of constraints are substituted into a pricing model of a thermal power generating unit, so that the self-scheduling value of the thermal power generating unit is obtained. And solving to obtain a new adjustment value and a new electricity price of the thermal power generating unit. The invention aims to directly solve the electricity price by taking the adjustment value as a decision variable, and reasonably compensate the earnings of the thermal power generating unit based on the adjustment value.

Description

Technical Field

[0001] The present invention relates to the field of power markets, and particularly to a power market pricing method and related equipment that can characterize the regulation value. Background Art

[0002] With the rapid growth of the penetration rate of renewable energy, the power system has encountered challenges because of the lack of necessary flexible regulation capabilities to manage the randomness, intermittency, and rapid changes of the output power of these energy sources. Traditionally, thermal power units have been the regulation resources for power system regulation, but their current regulation capabilities for flexible regulation are limited. With the growth of the demand for flexible regulation resources, new methods are needed to stimulate the regulation capabilities of thermal power units, use appropriate price signals to guide thermal power units to participate in supporting the normal operation of the power system, and reasonably compensate the regulation contributions of thermal power units.

[0003] The current nodal marginal price is obtained by solving the economic dispatch model to obtain the energy component and congestion component of the electricity price. The electricity price obtained in this way may not meet the actual requirements of market operation. The electricity price as the dual solution cannot be directly constrained in the dispatch model and can only ensure that the pricing result meets the requirements by modifying the relevant constraints in the dispatch model. At this time, the electricity price is difficult to directly modify, and at the same time, there may be a situation where the income of thermal power units is difficult to cover the cost. Summary of the Invention

[0004] Aiming at the problems existing in the prior art, the present invention provides a power market pricing method and related equipment that can characterize the regulation value, aiming to directly solve the electricity price with the regulation value as a decision variable and reasonably compensate the income of thermal power units based on the regulation value.

[0005] To solve the above technical problems, the present invention is realized through the following technical solutions: According to the first aspect of the present invention, a power market pricing method that can characterize the regulation value is provided, including: Obtain the economic dispatch output of thermal power units; Under the condition of meeting the operation requirements of the power system, establish an independent dispatch model based on the regulation value of thermal power units with the goal of maximizing the total net income of thermal power units; Under the condition of meeting the corresponding price constraints of market operation, take the regulation value of thermal power units as a decision variable, and establish a pricing model for thermal power units with the goal of minimizing the opportunity cost of thermal power units according to the economic dispatch output. Using the KKT conditions, transform the autonomous scheduling model based on the regulation value of thermal power units into a series of constraints. The series of constraints include the constraint that the gradient of the Lagrangian augmented function is 0, equality / inequality constraints, and complementary slackness constraints. Substitute the series of constraints into the pricing model of the thermal power units to solve for the new regulation value and new electricity price of the thermal power units.

[0006] In a possible implementation manner of the first aspect, the obtaining of the economic dispatch output of the thermal power units is specifically as follows: Solve the unit commitment model of the power system to obtain the start-stop status of the thermal power units; According to the start-stop status of the thermal power units, solve the economic dispatch model of the power system to obtain the economic dispatch output of the thermal power units.

[0007] In a possible implementation manner of the first aspect, the unit commitment model of the power system is:

[0008]

[0009]

[0010]

[0011]

[0012]

[0013] In the formula, is the number of thermal power units; is the total dispatching duration; is the thermal power unit number; is the time period number; is the operating cost function of the thermal power unit; is the output of the thermal power unit obtained from unit commitment; / is the start / stop times of the thermal power unit; / is the single start / stop cost of the thermal power unit; is the load power; is a 0-1 variable representing the status of the thermal power unit, 0 indicates that the thermal power unit is stopped, and 1 indicates that the thermal power unit is operating; 、 are the upper and lower limits of the output of the thermal power unit; 、 are the upper and lower limits of the ramping of the thermal power unit; 、 are the upper and lower limits of the power change during start / stop of the thermal power unit; 、 are the upper and lower limits of the line transmission power; is the line transmission power obtained from the unit commitment.

[0014] In a possible implementation manner of the first aspect, the economic dispatch model of the power system is:

[0015]

[0016]

[0017]

[0018]

[0019] In the formula, is the output of the thermal power unit obtained from the economic dispatch; is the line transmission power obtained from the economic dispatch.

[0020] In a possible implementation manner of the first aspect, the autonomous dispatch model based on the regulation value of the thermal power unit is:

[0021]

[0022]

[0023]

[0024]

[0025]

[0026] In the formula, is the net income of the thermal power unit ; is the output of the thermal power unit in the autonomous dispatch model; is the price signal factor representing the upward regulation range of the thermal power unit; is the price signal factor representing the downward regulation range of the thermal power unit; is the price signal factor representing the upward regulation speed; is the price signal factor representing the downward regulation speed; is the line transmission power during economic dispatch.

[0027] In a possible implementation manner of the first aspect, the pricing model of the thermal power unit is:

[0028]

[0029]

[0030]

[0031] wherein, is the net revenue of the thermal power unit obtained by economic dispatch output under the regulation value; is the revenue of the thermal power unit in the original mode; is the vector form of the regulation value of the thermal power unit; , are the upper and lower limits of the regulation value.

[0032] In a possible implementation manner of the first aspect, by using the KKT conditions, the autonomous dispatch model based on the regulation value of the thermal power unit is transformed into a series of constraints, specifically:

[0033]

[0034]

[0035]

[0036]

[0037] wherein, is the Lagrangian augmented function of the self-dispatch model; represents the decision variable in the self-dispatch model; , are the upper and lower limits of the inequality constraint of the decision variable; , are 0-1 variables introduced to represent complementary slackness; M is a large number; , represent the dual multipliers corresponding to the upper and lower limit constraints.

[0038] According to the second aspect of the present invention, there is provided a power market pricing device capable of characterizing the regulation value, including: An acquisition module, configured to acquire the economic dispatch output of the thermal power unit; A first establishment module, configured to establish an autonomous dispatch model based on the regulation value of the thermal power unit with the goal of maximizing the total net revenue of the thermal power unit under the condition of meeting the operation requirements of the power system; A second establishment module, configured to establish a pricing model for thermal power units by taking the regulation value of thermal power units as a decision variable and aiming to minimize the opportunity cost of thermal power units according to the economic dispatch output under the condition of meeting the corresponding price constraints of market operation; A solution module, configured to use the KKT conditions to transform the autonomous dispatch model based on the regulation value of thermal power units into a series of constraints, where the series of constraints includes the constraint that the gradient of the Lagrangian augmented function is 0, equality / inequality constraints, and complementary slackness constraints, and substitute the series of constraints into the pricing model of thermal power units to solve for the new regulation value and new electricity price of thermal power units.

[0039] According to a third aspect of the present invention, there is provided a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the computer device implements the power market pricing method capable of characterizing the regulation value as described above.

[0040] According to a fourth aspect of the present invention, there is provided a computer-readable storage medium storing a computer program, and when the computer program is executed by a processor, the computer-readable storage medium implements the power market pricing method capable of characterizing the regulation value as described above.

[0041] Compared with the prior art, the present invention has at least the following beneficial effects: The power market pricing method capable of characterizing the regulation value provided by the present invention directly solves the electricity price by taking the regulation value of thermal power units as a decision variable, without indirectly deriving it through an economic dispatch model, and can reasonably compensate the income of thermal power units based on the regulation value. Based on the value measurement of the regulation capacity, the regulation value is used to reflect the value of the flexible regulation capacity, and the required regulation value of the system can be quantitatively determined, directly obtaining the electricity price that meets the actual needs, improving the regulation value during peak demand periods, and stimulating the regulation capacity of flexible regulation resources.

[0042] To make the above objects, features, and advantages of the present invention more obvious and understandable, the following specifically enumerates preferred embodiments and, in conjunction with the accompanying drawings, makes the following detailed description. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to more clearly illustrate the technical solutions in the specific embodiments of the present invention, the following will briefly introduce the drawings required for the description of the specific embodiments. Obviously, the following drawings are some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0044] Figure 1 It is a flowchart of a power market pricing method capable of characterizing the regulation value according to the present invention.

[0045] Figure 2 This is the 5-node example diagram used for the test of the embodiments of the present invention.

[0046] Figure 3 This is the economic dispatch output result of the thermal power unit obtained from the test of the embodiments of the present invention.

[0047] Figure 4 This is the upper limit value result of the range obtained from the test of the embodiments of the present invention.

[0048] Figure 5 This is the lower limit value result of the range obtained from the test of the embodiments of the present invention.

[0049] Figure 6 This is the upper ramp limit value result obtained from the test of the embodiments of the present invention.

[0050] Figure 7 This is the lower ramp limit value result obtained from the test of the embodiments of the present invention.

[0051] Figure 8 This is the comparison diagram of the new electricity price and the original electricity price obtained from the test of the embodiments of the present invention. Detailed implementation manners

[0052] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings. Apparently, the described embodiments are some but not all of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0053] As Figure 1 shown, the embodiments of the present invention provide a power market pricing method capable of characterizing the regulation value, which specifically includes the following steps: S1. Obtain the economic dispatch output of the thermal power unit.

[0054] In an implementable manner, regarding obtaining the economic dispatch output of the thermal power unit, specifically: S101. Solve the unit commitment model of the power system to obtain the start-stop status of the thermal power unit.

[0055] Specifically, the unit commitment model of the power system is:

[0056]

[0057]

[0058]

[0059]

[0060]

[0061] In the formula, is the number of thermal power units; is the total dispatching duration; is the thermal power unit number; is the time period number; is the operating cost function of the thermal power unit; is the output of the thermal power unit obtained from the unit commitment; / is the start / stop times of the thermal power unit; / is the single start / stop cost of the thermal power unit; is the load power; is a 0-1 variable representing the status of the thermal power unit, 0 means the thermal power unit is stopped, and 1 means the thermal power unit is running; 、 are the upper and lower limits of the output of the thermal power unit; 、 are the upper and lower limits of the ramping of the thermal power unit; 、 are the upper and lower limits of the power change during start / stop of the thermal power unit; 、 are the upper and lower limits of the line transmission power; is the line transmission power obtained from the unit commitment.

[0062] S102. Solve the economic dispatch model of the power system according to the start / stop status of the thermal power units to obtain the economic dispatch output of the thermal power units.

[0063] Specifically, the economic dispatch model of the power system is:

[0064]

[0065]

[0066]

[0067]

[0068] In the formula, is the output of the thermal power unit obtained from the economic dispatch; is the line transmission power obtained from the economic dispatch.

[0069] Exemplarily, the Gurobi commercial solver is used to solve the economic dispatch model of the power system.

[0070] S2. Under the condition of meeting the operation requirements of the power system, with the goal of maximizing the total net income of thermal power units, an independent dispatch model based on the regulation value of thermal power units is established.

[0071] Specifically, the independent dispatch model based on the regulation value of thermal power units is as follows:

[0072]

[0073]

[0074]

[0075]

[0076]

[0077] In the formula, is the net income of thermal power unit ; is the output of the thermal power unit in the independent dispatch model; is the price signal factor characterizing the upward regulation range of the thermal power unit; is the price signal factor characterizing the downward regulation range of the thermal power unit; is the price signal factor characterizing the upward regulation speed; is the price signal factor characterizing the downward regulation speed; is the line transmission power during economic dispatch.

[0078] S3. Under the condition of meeting the corresponding price constraints of market operation, taking the regulation value of thermal power units as the decision variable, with the goal of minimizing the opportunity cost of thermal power units according to the economic dispatch output, a pricing model of thermal power units is established.

[0079] Specifically, the pricing model of thermal power units is as follows:

[0080]

[0081]

[0082]

[0083] In the formula, is the net income of the thermal power unit obtained according to the economic dispatch output at the regulation value; is the revenue of the thermal power unit under the original method; is the vector form of the regulation value of the thermal power unit; 、 are the upper and lower limits of the regulation value.

[0084] S4. Using the KKT conditions, transform the autonomous scheduling model based on the regulation value of the thermal power unit into a series of constraints, where the series of constraints includes the constraint that the gradient of the Lagrangian augmented function is 0, equality / inequality constraints, and complementary slackness constraints. Substitute the series of constraints into the pricing model of the thermal power unit to solve for the new regulation value and new electricity price of the thermal power unit.

[0085] In an implementable manner, using the KKT conditions, transform the autonomous scheduling model based on the regulation value of the thermal power unit into a series of constraints, specifically:

[0086]

[0087]

[0088]

[0089]

[0090] In the formula, is the Lagrangian augmented function of the self-scheduling model; represents the decision variable in the self-scheduling model; 、 are the upper and lower limits of the decision variable inequality constraint; 、 are the 0-1 variables introduced to represent complementary slackness; M is a large number; 、 represent the dual multipliers corresponding to the upper and lower limit constraints.

[0091] In an embodiment, based on a power market pricing method that can characterize the regulation value, a specific simulation case is provided as follows: Select a 5-node power system. To verify the effectiveness and rationality of the pricing method proposed by the present invention, use MATLAB software to call Gurobi to perform simulation analysis on this system. Complete the unit commitment and economic dispatch process to obtain the economic dispatch output of the thermal power unit.

[0092] The unit parameters are shown in Table 1: Table 1 Unit parameter values

[0093] The simulation results are as follows Figure 3 , Figure 4 , Figure 5 , Figure 6 , Figure 7 as shown. As Figure 3 shown, during the peak load period, especially during 7:00 - 8:00 and 17:00 - 22:00, the value of the upper limit of the power range is very obvious. Especially during the evening peak load period, when both Unit 1 and Unit 3 are generating electricity at maximum power, the value of the upper limit of the system power range is very high. As Figure 4 shown, the lower limit value of the range is reflected in most periods. Especially during the peak output period of renewable energy (12:00 - 14:00), the largest Unit 1 chooses to shut down, making the lower limit value particularly obvious. But during the evening peak period, this value is not obvious. As Figure 5 and Figure 6 shown, the ramp value mainly appears during the rapid change of the system load. It mainly appears when the output of renewable energy fluctuates rapidly, and at this time, the power change of the unit within a continuous period is also very large. Figure 7 shows the different LMPs obtained by two methods. The LMP calculated by the method of the present invention effectively amplifies the original price signal and pays more attention to reflecting the contribution of the unit in terms of regulation ability. For example, during the period of 16:00 - 21:00 when the system load is relatively high, this value mainly reflects the upper limit of the interval. Therefore, the change trend of the LMP at this time is basically the same as that of Figure 3 . During the period of renewable energy fluctuation, the ramp value will become more prominent.

[0094] The unit income is shown in Table 2: Table 2 Unit income value

[0095] Combined with the above simulation results, it is not difficult to find that the electricity price calculated by the method of the present invention can ensure that the unit obtains reasonable regulation income while obtaining the optimal income based on self - dispatch, and can better guide flexible resources to participate in system regulation.

[0096] The present invention solves the problem of quantifying the regulation value of flexible resources. Based on the value measurement of regulation ability, using the regulation value to reflect the value of flexible regulation ability, it can quantitatively determine the regulation value required by the system, directly obtain the electricity price that meets the actual needs, improve the regulation value during peak demand periods, and stimulate the regulation ability of flexible regulation resources.

[0097] The embodiment of the present invention provides a power market pricing device capable of characterizing the regulation value, which is used to implement the aforementioned power market pricing method capable of characterizing the regulation value, and specifically includes the following modules: An acquisition module, which is used to acquire the economic dispatch output of thermal power units.

[0098] A first establishment module, configured to establish an autonomous scheduling model based on the regulation value of a thermal power unit with the goal of maximizing the total net revenue of the thermal power unit when the operation requirements of the power system are met.

[0099] A second establishment module, configured to establish a pricing model of a thermal power unit with the regulation value of the thermal power unit as a decision variable and the goal of minimizing the opportunity cost of the thermal power unit according to the economic dispatch output when the corresponding price constraints of the market operation are met.

[0100] A solution module, configured to use the KKT conditions to transform the autonomous scheduling model based on the regulation value of the thermal power unit into a series of constraints, where the series of constraints includes the constraint that the gradient of the Lagrangian augmented function is 0, equality / inequality constraints, and complementary slackness constraints, and substitute the series of constraints into the pricing model of the thermal power unit to solve for the new regulation value and new electricity price of the thermal power unit.

[0101] All relevant contents of each step involved in the embodiment of the foregoing power market pricing method capable of characterizing the regulation value can be cited in the function description of the corresponding functional modules of a power market pricing device capable of characterizing the regulation value in the embodiment of the present invention, and will not be elaborated here. The division of modules in the embodiment of the present invention is illustrative, only a logical function division, and there may be other division methods in actual implementation. In addition, in each embodiment of the present invention, the functional modules can be integrated in one processor, or exist separately physically, or two or more modules can be integrated in one module. The above integrated modules can be implemented in the form of hardware or in the form of software functional modules.

[0102] In another embodiment of the present invention, a computer device is provided. The computer device includes a processor and a memory. The memory is used to store a computer program, and the computer program includes program instructions. The processor is used to execute the program instructions stored in the computer storage medium. The processor may be a Central Processing Unit (CPU), or may also be other general-purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field-Programmable Gate Arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. It is the computing core and control core of the terminal, and is suitable for implementing one or more instructions. Specifically, it is suitable for loading and executing one or more instructions in the computer storage medium to implement the corresponding method flow or corresponding function. The processor described in the embodiment of the present invention can be used for the operation of a power market pricing method that can characterize the regulation value.

[0103] In another embodiment of the present invention, a storage medium is also provided, specifically a computer-readable storage medium (Memory). The computer-readable storage medium is the memory device in the computer device and is used to store programs and data. It can be understood that the computer-readable storage medium here can include both the built-in storage medium in the computer device and, of course, the extended storage medium supported by the computer device. The computer-readable storage medium provides a storage space, and the operating system of the terminal is stored in this storage space. And, one or more instructions suitable for being loaded and executed by the processor are also stored in this storage space. These instructions can be one or more computer programs (including program codes). It should be noted that the computer-readable storage medium here can be a high-speed RAM memory or a non-volatile memory, such as at least one disk memory. One or more instructions stored in the computer-readable storage medium can be loaded and executed by the processor to implement the corresponding steps of the power market pricing method that can characterize the regulation value in the above embodiment.

[0104] Those skilled in the art should understand that the embodiments of the present invention can be provided as a method, a system, or a computer program product. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present invention can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code.

[0105] The present invention is described with reference to the flowcharts and / or block diagrams of methods, apparatuses (systems), and computer program products according to embodiments of the present invention. It should be understood that each flow and / or block in the flowchart and / or block diagram can be implemented by computer program instructions, and the combination of flows and / or blocks in the flowchart and / or block diagram can also be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing devices generate means for implementing the functions specified in Figure 1 one or more of the flows Figure 1 or blocks.

[0106] These computer program instructions can 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 generate a manufactured article including instruction means, and the instruction means implements the functions specified in Figure 1 one or more of the flows Figure 1 or blocks.

[0107] These computer program instructions can also be loaded onto a computer or other programmable data processing device, so that a series of operation steps are executed on the computer or other programmable device to generate a computer-implemented process, and thus the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in Figure 1 one or more of the flows Figure 1 or blocks.

[0108] The present invention also provides a computer program product, since the computer program product is used to execute any one of the above-mentioned power market pricing methods capable of characterizing the regulation value. Since the computer program product provided by the present invention and the above-mentioned power market pricing method capable of characterizing the regulation value belong to the same inventive concept, the computer program product provided by the present invention has all the advantages of the above-mentioned power market pricing method capable of characterizing the regulation value. Therefore, the beneficial effects of the computer program product provided by the present invention will not be elaborated one by one here.

[0109] In the present invention, the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples", etc. mean that the specific features, structures, materials, or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described can be combined in any one or more embodiments or examples in a suitable manner. In addition, without contradiction, those skilled in the art can combine and combine the different embodiments or examples described in this specification and the features of different embodiments or examples.

[0110] Finally, it should be noted that the above-mentioned embodiments are only specific embodiments of the present invention, which are used to illustrate the technical solutions of the present invention, rather than to limit it. The protection scope of the present invention is not limited thereto. Although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: any person skilled in the art within the technical scope disclosed by the present invention can still modify the technical solutions recorded in the foregoing embodiments, or can easily think of changes, or make equivalent replacements for some of the technical features; and these modifications, changes, or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be covered by the protection scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims

1. A power market pricing method capable of characterizing regulation value, characterized in that: include: Obtain the economic dispatch output of thermal power units; Under the condition of meeting the operation demand of the power system, an autonomous dispatch model based on the regulation value of thermal power units is established with the goal of maximizing the total net profit of thermal power units. Under the condition of satisfying the corresponding price constraints of market operation, the adjustment value of thermal power units is taken as the decision variable, and the pricing model of thermal power units is established with the goal of minimizing the opportunity cost of the output of thermal power units according to the economic dispatch; By using the KKT condition, the autonomous dispatch model based on the regulation value of the thermal power unit is converted into a series of constraints, wherein the series of constraints include the Lagrangian augmentation function gradient 0 constraint, equality / inequality constraints and complementary slackness constraints. The series of constraints are substituted into the pricing model of the thermal power unit to obtain the new regulation value and new electricity price of the thermal power unit.

2. A method for pricing electricity market capable of characterizing regulation value according to claim 1, characterized in that: The obtaining of the economic dispatch output of the thermal power unit is specifically as follows: Solve the unit combination model of the power system to obtain the start and stop status of the thermal power units; According to the start and stop status of the thermal power units, the economic dispatch model of the power system is solved to obtain the economic dispatch output of the thermal power units.

3. A method for pricing electricity market capable of characterizing regulation value according to claim 2, characterized in that: The unit combination model of the power system is: In the formula, is the number of thermal power units; is the total dispatch duration; It is the thermal power unit number; is the period number; is the operating cost function of thermal power units; It is the output of thermal power units obtained by combining units; / is the number of starts / stops of thermal power units; / is the cost of starting / stopping a thermal power unit once; is the load power; It is a 0-1 variable indicating the state of the thermal power unit. 0 indicates that the thermal power unit is stopped, and 1 indicates that the thermal power unit is running. , It is the upper and lower limits of thermal power unit output; , The upper and lower limits of the thermal power unit climbing slope; , It is the upper and lower limits of power change when the thermal power unit is started and stopped; , The upper and lower limits of line transmission power; It is the line transmission power obtained by the unit combination.

4. A method for pricing electricity market capable of characterizing regulation value according to claim 3, characterized in that: The economic dispatch model of the power system is: In the formula, is the output of thermal power units obtained by economic dispatch; It is the line transmission power obtained by economic dispatch.

5. A method for pricing electricity market capable of characterizing regulation value according to claim 4, characterized in that: The autonomous dispatch model based on the regulation value of thermal power units is: In the formula, For thermal power units net income; is the output of thermal power units in the autonomous dispatch model; It is the price signal factor that represents the upward adjustment of the regulation range of thermal power units; It is the price signal factor that represents the downward adjustment of the regulation range of thermal power units; It is the price signal factor that characterizes the upward adjustment of the adjustment speed; It is the price signal factor that represents the downward adjustment of the adjustment speed; Line transmission power for economic dispatch.

6. A method for pricing electricity market capable of characterizing regulation value according to claim 5, characterized in that: The pricing model of the thermal power unit is: In the formula, It is the net income of thermal power units obtained by economic dispatch output under the adjustment value; is the income of thermal power units under the original method; It is the vector form of the regulation value of thermal power units; , It is the upper and lower limits of regulating value.

7. The power market pricing method capable of characterizing regulation value according to claim 1, characterized in that: The KKT condition is used to transform the autonomous dispatch model based on the regulation value of thermal power units into a series of constraints, specifically: In the formula, is the Lagrangian augmented function of the self-scheduling model; represents the decision variables in the self-scheduling model; , are the upper and lower limits of the inequality constraints on the decision variables; , is a 0-1 variable introduced to represent complementary slackness; M is a large number; , represents the dual multiplier corresponding to the upper and lower limit constraints.

8. An electricity market pricing device capable of characterizing regulation value, characterized in that: include: An acquisition module is used to obtain the economic dispatch output of thermal power units; The first establishment module is used to establish an autonomous dispatch model based on the regulation value of thermal power units with the goal of maximizing the total net profit of thermal power units while meeting the operation requirements of the power system; The second establishment module is used to establish a pricing model for the thermal power unit by taking the adjustment value of the thermal power unit as a decision variable and minimizing the opportunity cost of the thermal power unit according to the economic dispatch output under the condition of satisfying the corresponding price constraints of the market operation; A solution module is used to transform the autonomous dispatching model based on the regulation value of the thermal power unit into a series of constraints by using KKT conditions, wherein the series of constraints include a Lagrangian augmentation function gradient 0 constraint, an equality / inequality constraint, and a complementary slack constraint, and substitute the series of constraints into the pricing model of the thermal power unit to obtain a new regulation value and a new electricity price of the thermal power unit.

9. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, an electricity market pricing method capable of characterizing regulation value as described in any one of claims 1 to 7 is implemented.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, an electricity market pricing method capable of characterizing regulation value as described in any one of claims 1 to 7 is implemented.

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