Double-layer power unit output scheduling optimization method and device based on optimal sequence equalization

Abstract

The invention relates to the related technical field of scheduling, in particular to a double-layer power unit output scheduling optimization method and device based on optimal sequence equalization. The method comprises the following steps: constructing a power generator strategic output model based on power generation data and a power generation strategy of a power generator; constructing a power demand model of the seller based on the power consumption data and the power consumption strategy of the seller; and based on the power generator strategic output model and the power demand model, constructing a double-layer model for unit scheduling optimization, so as to determine an output plan of the power generator through the double-layer model for unit scheduling optimization. Through the arrangement, the output of the power unit is optimized, so that the generating capacity is matched with the market demand, and the waste and loss of energy are reduced.

Description

Technical Field

[0001] The present application relates to the technical field related to dispatching, and specifically to a method and device for optimizing the output dispatching of double-layer power units based on priority order balance. Background Art

[0002] In the power market environment, the uncertainty of demand behavior of power suppliers and demanders affects the decision-making of both parties. In the market environment, since power generators and demanders do not know each other's information, it is difficult to balance power.

[0003] In this way, it is easy for insufficient power generation to lead to insufficient energy supply, or excessive power generation to lead to energy waste. Summary of the invention

[0004] In view of this, the embodiments of the present application are directed to providing a method and device for optimizing output dispatch of double-layer power units based on priority order balance.

[0005] The present application provides a double-layer power unit output dispatch optimization method based on priority order balance, comprising:

[0006] Build a strategic output model for power generators based on their power generation data and strategies;

[0007] Build the seller's electricity demand model based on the seller's electricity consumption data and electricity consumption strategy;

[0008] Based on the strategic output model of the power generator and the power demand model, a two-layer model for unit scheduling optimization is constructed to determine the output plan of the power generator through the two-layer model for unit scheduling optimization.

[0009] In some embodiments, the power generator strategic output model includes:

[0010] Energy production cost C per generator set k The formula is as follows:

[0011]

[0012] O k =F ck +S ck +M k-1 +M k-2 (2)

[0013] Among them, q k is the output of the generator set; a k and b k is the cost coefficient parameter of unit k of the power generation enterprise; k is the total marginal operating cost of k generators, where F ckAs fixed costs consisting of insurance and administrative expenses; S ck 、M k-1 and M k-2 It is a variable cost consisting of staff, processing materials and maintenance costs;

[0014] The power generator quotation formula is as follows:

[0015] V k =β k +α k q k (3)

[0016] Among them, V k is the energy bid price taking into account all operating costs, q k is the generator output, α k and β k is the strategic quote coefficient;

[0017] Each power generation enterprise uses the following formula to calculate revenue and profit:

[0018]

[0019] Among them, k is the profit of the power generation unit k of the power generation enterprise, It is the market price.

[0020] In some embodiments, the formula in the power demand model is as follows:

[0021]

[0022] Among them, B j is the demand function; q j is the quantity demanded; c j and d j is the real benefit coefficient; z j are the coefficients of the demand function;

[0023] The consumer's offer is

[0024] W j =γ j -δ j q j (6)

[0025] Among them, W j is the strategic price variable submitted by each consumer J to the market; γ j and δ j is the seller’s strategic quotation coefficient;

[0026] The revenue of each consumer enterprise is a function of electricity demand and transaction price, as shown below

[0027]

[0028] In some embodiments, the two-layer model for unit scheduling optimization uses a trading order equilibrium model to determine energy supply and demand, and uses a Lagrangian relaxation method to solve the optimal order equilibrium problem to achieve unit output optimization.

[0029] In some embodiments, the formula in the two-layer model of unit scheduling optimization is as follows:

[0030] MinH

[0031]

[0032] Among them, J and K represent the number of electricity demanders and electricity supply units;

[0033]

[0034] Where L is the Lagrangian function; λ is the Lagrangian multiplier;

[0035] The following is the Lagrange multiplier solution:

[0036]

[0037] Both generators and power demanders become decision makers in unit dispatch output

[0038] In the two-layer model of unit scheduling optimization, the upper model formula includes:

[0039]

[0040] The underlying model formula includes:

[0041] MinH

[0042]

[0043] The present application provides a double-layer power unit output dispatch optimization device based on priority order balance, comprising:

[0044] The first building module is used to build a strategic output model of the power generator based on the power generation data and power generation strategy of the power generator;

[0045] The second building module is used to build a power demand model of the seller based on the seller's power consumption data and power consumption strategy;

[0046] The optimization module is used to construct a two-layer model for unit scheduling optimization based on the strategic output model of the power generator and the power demand model, so as to determine the output plan of the power generator through the two-layer model for unit scheduling optimization.

[0047] In some embodiments, the power generator strategic output model includes:

[0048] Energy production cost C per generator set k The formula is as follows:

[0049]

[0050] O k =F ck +S ck +M k-1 +M k-2 (2)

[0051] Among them, q k is the output of the generator set; a k and b k is the cost coefficient parameter of unit k of the power generation enterprise; k is the total marginal operating cost of k generators, where F ck As fixed costs consisting of insurance and administrative expenses; S ck 、M k-1 and M k-2 It is a variable cost consisting of staff, processing materials and maintenance costs;

[0052] The power generator quotation formula is as follows:

[0053] V k =β k +α k q k (3)

[0054] Among them, V k is the energy bid price taking into account all operating costs, q k is the generator output, α k and β k is the strategic quote coefficient;

[0055] Each power generation enterprise uses the following formula to calculate revenue and profit:

[0056]

[0057] Among them, k is the profit of the power generation unit k of the power generation enterprise, It is the market price.

[0058] In some embodiments, the formula in the power demand model is as follows:

[0059]

[0060] Among them, B jis the demand function; q j is the quantity demanded; c j and d j is the real benefit coefficient; z j are the coefficients of the demand function;

[0061] The consumer's offer is

[0062] W j =γ j -δ j q j (6)

[0063] Among them, W j is the strategic price variable submitted by each consumer J to the market; γ j and δ j is the seller’s strategic quotation coefficient;

[0064] The revenue of each consumer enterprise is a function of electricity demand and transaction price, as shown below

[0065]

[0066] The present application provides an electronic device, including:

[0067] A processor, and a memory for storing a program executable by the processor;

[0068] The processor is used to implement the above-mentioned double-layer power unit output dispatch optimization method based on priority balance by running the program in the memory.

[0069] The present application provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the processor is enabled to execute the above-mentioned double-layer power unit output dispatch optimization method based on priority balancing.

[0070] The present application provides a two-layer power unit output dispatch optimization method based on priority balance. First, based on the power generation data and power generation strategy of the power generator, a strategic output model of the power generator is constructed; based on the power consumption data and power consumption strategy of the seller, a power demand model of the seller is constructed; based on the strategic output model of the power generator and the power demand model, a two-layer model of unit dispatch optimization is constructed to determine the output plan of the power generator through the two-layer model of unit dispatch optimization. In this way, by optimizing the output of the power generator unit, the power generation is matched with the market demand, and the waste and loss of energy are reduced. This helps to improve the utilization efficiency of energy, reduce energy consumption, reduce the impact on the environment, and promote the green development of the power industry. BRIEF DESCRIPTION OF THE DRAWINGS

[0071] By describing the embodiments of the present application in more detail in conjunction with the accompanying drawings, the above and other purposes, features and advantages of the present application will become more apparent. The accompanying drawings are used to provide a further understanding of the embodiments of the present application and constitute a part of the specification. Together with the embodiments of the present application, they are used to explain the present application and do not constitute a limitation of the present application. In the accompanying drawings, the same reference numerals generally represent the same components or steps.

[0072] Figure 1 It is a flow chart of a double-layer power unit output dispatch optimization method based on priority balance provided in one embodiment of the present application.

[0073] Figure 2 It is a structural schematic diagram of a double-layer power unit output dispatch optimization device based on priority balance provided by an embodiment of the present application.

[0074] Figure 3 It is a schematic diagram of the structure of an electronic device provided by an embodiment of the present application. DETAILED DESCRIPTION

[0075] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0076] Application Overview

[0077] In the power market environment, the uncertainty of demand behavior of power suppliers and demanders affects the decision-making of both parties. Agent-based system technology has good sustainability / efficiency in simulating and modeling unit scheduling optimization in the market environment. It enables participants to adjust their unit output behavior in the market environment. In the market environment, since power generators and demanders do not know each other's information, it is difficult to balance power. This is the most realistic situation in the power market. In response to this gap, the optimization decision of power unit output is made by using two-level optimization problems in a market environment with elastic demand. Based on this, the present invention proposes a two-layer power unit output scheduling optimization method based on optimal order equilibrium. The optimal order equilibrium and Lagrangian relaxation method are used to optimize the unit output.

[0078] After introducing the basic principles of the present application, various non-limiting embodiments of the present application will be described in detail with reference to the accompanying drawings.

[0079] Exemplary Methods

[0080] Figure 1FIG. 1 is a flow chart of a method for optimizing the output dispatch of a double-layer power unit based on priority order balancing provided by an embodiment of the present application. Figure 1 As shown, the method includes the following contents.

[0081] Step S110, constructing a strategic output model of the power generator based on the power generation data and power generation strategy of the power generator;

[0082] First, it is necessary to collect the power generation data of the power generator, including the output of each power generation unit, power generation cost data, etc. These data are the basis for model construction and can reflect the operating status and performance of the power generation unit. Understand the power generation strategy of the power generator, including its positioning, goals, and competitive strategies in the market. For example, the power generator may adopt a low-price strategy to gain more market share, or a high-price strategy to obtain higher profits.

[0083] Based on the collected power generation data, the energy production cost of the power generation unit is analyzed, including fixed costs (such as equipment depreciation, insurance and management fees) and variable costs (such as fuel costs, employee wages, maintenance costs, etc.). Clarifying the cost structure helps power generators make reasonable decisions when quoting.

[0084] Considering factors such as power generation data, power generation strategy and cost structure, a strategic output model of power generators is constructed. The model needs to be able to describe the output behavior of power generators under different circumstances, and how power generators adjust their output according to market conditions to maximize profits. The model may include the relationship between power generator output and cost and revenue, as well as the bidding strategy of power generators.

[0085] Step S120, constructing a power demand model of the seller based on the seller's power consumption data and power consumption strategy;

[0086] Specifically, collect the seller's electricity consumption data, including electricity consumption, electricity consumption time distribution, and types of electricity-consuming equipment. These data can reflect the characteristics and patterns of the seller's electricity demand. Understand the seller's electricity strategy, such as whether it has taken energy-saving measures, whether there are electricity adjustments under the peak and valley electricity price strategy, etc. These strategies will affect the seller's electricity demand pattern.

[0087] According to the electricity consumption data and electricity consumption strategy, establish the electricity demand function. The demand function describes the relationship between electricity demand and factors such as market price and electricity consumption time. For example, the demand function may be a linear or nonlinear function of price, reflecting the impact of price changes on demand. Construct a seller's electricity demand model, which includes demand functions, consumer bidding strategies, etc. The model needs to be able to predict the seller's electricity demand and bidding behavior under different market conditions, and provide accurate demand information for subsequent unit scheduling optimization.

[0088] Step S130, constructing a two-layer model for unit scheduling optimization based on the strategic output model of the power generator and the power demand model, so as to determine the output plan of the power generator through the two-layer model for unit scheduling optimization.

[0089] Specifically, the strategic output model of power generators and the power demand model are integrated to form a basic framework for unit dispatch optimization. In this framework, the output decisions of power generators and the demand decisions of sellers influence each other and jointly determine the supply and demand balance of the power market.

[0090] The structure of the two-layer model is constructed. The upper model focuses on maximizing the profits of power generators and sellers, while the lower model focuses on the equilibrium of market supply and demand. In the upper model, power generators and sellers optimize their output and demand decisions based on their own strategies and market information; the lower model uses optimization algorithms such as Lagrangian relaxation method to solve the optimal solution of market supply and demand balance.

[0091] The optimization algorithm such as Lagrange relaxation method is used to solve the priority equilibrium problem in the two-layer model. The algorithm transforms the constraint conditions into part of the objective function by introducing Lagrange multipliers, thus transforming the complex constraint optimization problem into a more solvable form. The final Lagrange multiplier represents the unified transaction price and the optimal dispatch output of each generator unit.

[0092] According to the solution of the two-layer model, the output plan of the power generator is determined. The output plan includes the output arrangement of each generator set in different time periods, as well as the corresponding quotation strategy. This plan enables the power generator to maximize its own profits while meeting market demand and maintain the stable operation of the power market.

[0093] Specifically, the strategic output model of the power generator is established. The goal of the power generator is to optimize the output of the unit and maximize the profit while considering the energy production cost.

[0094] Energy production cost C per generator set k as follows:

[0095]

[0096] O k =F ck +S ck +M k-1 +M k-2 (2)

[0097] Among them, q k is the output of the generator set; a k and b k is the cost coefficient parameter of unit k of the power generation enterprise; kis the total marginal operating cost of k generators, where F ck As fixed costs consisting of insurance and administrative expenses; S ck 、M k-1 and M k-2 It is a variable cost consisting of labor, processing materials and maintenance costs.

[0098] The power generators offer the following:

[0099] V k =β k +α k q k (3)

[0100] Among them, V k is the energy bid price taking into account all operating costs, q k is the generator output, α k and β k is the strategic quote coefficient.

[0101] Each power generation company calculates revenue and profit using the following formula.

[0102]

[0103] Among them, k is the profit of the power generation unit k of the power generation enterprise, It is the market price.

[0104] Furthermore, the electricity demand model of the seller is established.

[0105] Electricity sales companies are medium-sized and large consumers, and their demand is variable and elastic. The consumer's load demand function is a linear inverse function, and its real marginal benefit curve has a negative gradient. Therefore, the consumer's benefit function is

[0106]

[0107] Among them, B j is the demand function; q j is the quantity demanded; c j and d j is the real benefit coefficient; z j are the coefficients of the demand function.

[0108] The consumer's offer is

[0109] W j =γ j -δ j q j (6)

[0110] Among them, W jis the strategic price variable that each consumer J submits to the market. j and δ j It is the seller's strategic quotation coefficient.

[0111] The revenue of each consumer enterprise is a function of electricity demand and transaction price, as shown below

[0112]

[0113] Furthermore, a two-layer model for unit scheduling optimization is established.

[0114] The present invention adopts a trading order equilibrium model to determine energy supply and demand, thereby optimizing the output of the unit.

[0115] MinH

[0116]

[0117] Among them, J and K represent the number of electricity demanders and electricity supply units.

[0118] The present invention adopts Lagrangian relaxation method to solve the problem of optimal order equilibrium. The solution of Lagrangian multiplier becomes a unified transaction price, and then the optimal dispatch output of each generator set can be obtained.

[0119]

[0120] Where L is the Lagrangian function and λ is the Lagrangian multiplier.

[0121] Use the following as the Lagrange multiplier solution:

[0122]

[0123] Both the generators and the power demanders become decision makers for the dispatch output of the units. This dual behavior forms a two-level mathematical problem, in which the upper level is represented by the benefits obtained by the generators and the demanders in equations (4) and (7), and the lower level is represented by the market supply and demand priority equilibrium model. Therefore, the decision of each market participant is formulated in a two-level mathematical optimization problem of the two functions given in equations (14) and (15).

[0124] Upper model

[0125]

[0126] Lower model:

[0127] MinH

[0128]

[0129] The solutions of the upper and lower models ultimately provide the optimized results of unit dispatch output.

[0130] Due to the adoption of the above technical solution, the present invention has the following advantages: the present invention models producers and consumers as agents with incomplete information of competitors. The agent determines the optimal dispatch output of the unit to achieve the maximum profit under the balance of power supply and demand and Nash equilibrium. The method proposed in the present invention can guide the power generator to form an optimal power supply plan without knowing the information of the demand side. Therefore, the present invention can be widely used in the output dispatch of power units.

[0131] Exemplary Devices

[0132] The device embodiments of the present application can be used to execute the method embodiments of the present application. For details not disclosed in the device embodiments of the present application, please refer to the method embodiments of the present application.

[0133] Figure 2 FIG. 1 is a block diagram of a double-layer power unit output dispatch optimization device based on priority order balancing provided by an embodiment of the present application. Figure 2 As shown, the device comprises:

[0134] The first building module 21 is used to build a strategic output model of the power generator based on the power generation data and power generation strategy of the power generator;

[0135] The second building module 22 is used to build a power demand model of the seller based on the seller's power consumption data and power consumption strategy;

[0136] The optimization module 23 is used to construct a two-layer model for unit scheduling optimization based on the strategic output model of the power generator and the power demand model, so as to determine the output plan of the power generator through the two-layer model for unit scheduling optimization.

[0137] In some embodiments, the power generator strategic output model includes:

[0138] Energy production cost C per generator set k The formula is as follows:

[0139]

[0140] O k =F ck +S ck +M k-1 +M k-2 (2)

[0141] Among them, q k is the output of the generator set; a k and b k is the cost coefficient parameter of unit k of the power generation enterprise;k is the total marginal operating cost of k generators, where F ck As fixed costs consisting of insurance and administrative expenses; S ck 、M k-1 and M k-2 It is a variable cost consisting of staff, processing materials and maintenance costs;

[0142] The power generator quotation formula is as follows:

[0143] V k =β k +α k q k (3)

[0144] Among them, V k is the energy bid price taking into account all operating costs, q k is the generator output, α k and β k is the strategic quote coefficient;

[0145] Each power generation enterprise uses the following formula to calculate revenue and profit:

[0146]

[0147] Among them, k is the profit of the power generation unit k of the power generation enterprise, It is the market price.

[0148] In some embodiments, the formula in the power demand model is as follows:

[0149]

[0150] Among them, B j is the demand function; q j is the quantity demanded; c j and d j is the real benefit coefficient; z j are the coefficients of the demand function;

[0151] The consumer's offer is

[0152] W j =γ j -δ j q j (6)

[0153] Among them, W j is the strategic price variable submitted by each consumer J to the market; γ j and δ j is the seller’s strategic quotation coefficient;

[0154] The revenue of each consumer enterprise is a function of electricity demand and transaction price, as shown below

[0155]

[0156] Exemplary Electronic Devices

[0157] Below, reference Figure 3 To describe an electronic device according to an embodiment of the present application. Figure 3 A block diagram of an electronic device according to an embodiment of the present application is illustrated.

[0158] like Figure 3 As shown, electronic device 300 includes one or more processors 310 and memory 320 .

[0159] The processor 310 may be a central processing unit (CPU) or other forms of processing units having data processing capabilities and / or instruction execution capabilities, and may control other components in the electronic device 300 to perform desired functions.

[0160] The memory 320 may include one or more computer program products, and the computer program product may include various forms of computer-readable storage media, such as volatile memory and / or non-volatile memory. The volatile memory may include, for example, random access memory (RAM) and / or cache memory (cache), etc. The non-volatile memory may include, for example, read-only memory (ROM), hard disk, flash memory, etc. One or more computer program instructions may be stored on the computer-readable storage medium, and the processor 310 may run the program instructions to implement the above-described double-layer power unit output dispatch optimization method based on priority balance of each embodiment of the present application and / or other desired functions. Various contents such as category correspondences may also be stored in the computer-readable storage medium.

[0161] In one example, the electronic device 300 may further include: an input device 330 and an output device 340 , and these components are interconnected via a bus system and / or other forms of connection mechanisms (not shown).

[0162] In addition, the input device 330 may also include, for example, a keyboard, a mouse, an interface, etc. The output device 340 may output various information to the outside, including analysis results, etc. The output device 340 may include, for example, a display, a speaker, a printer, a communication network and a remote output device connected thereto, etc.

[0163] Of course, to simplify, Figure 3Only some of the components in the electronic device related to the present application are shown, and components such as a bus, an input / output interface, etc. are omitted. In addition, the electronic device may further include any other appropriate components according to specific application conditions.

[0164] Exemplary computer program products and computer-readable storage media

[0165] In addition to the above-mentioned methods and devices, an embodiment of the present application may also be a computer program product, which includes computer program instructions, which, when executed by a processor, enable the processor to execute the steps of the double-layer power unit output dispatch optimization method based on priority balance according to various embodiments of the present application described in the above "Exemplary Method" section of this specification.

[0166] The computer program product may be written in any combination of one or more programming languages ​​to write program codes for performing the operations of the embodiments of the present application, including object-oriented programming languages, such as Java, C++, etc., and conventional procedural programming languages, such as "C" language or similar programming languages. The program code may be executed entirely on the user computing device, partially on the user device, as an independent software package, partially on the user computing device and partially on a remote computing device, or entirely on a remote computing device or server.

[0167] In addition, an embodiment of the present application may also be a computer-readable storage medium on which computer program instructions are stored. When the computer program instructions are executed by a processor, the processor executes the steps of the double-layer power unit output dispatch optimization method based on priority balancing according to various embodiments of the present application described in the above "Exemplary Method" section of this specification.

[0168] The computer readable storage medium can adopt any combination of one or more readable media. The readable medium can be a readable signal medium or a readable storage medium. The readable storage medium can include, for example, but is not limited to, a system, device or device of electricity, magnetism, light, electromagnetic, infrared, or semiconductor, or any combination of the above. More specific examples (non-exhaustive list) of readable storage media include: an electrical connection with one or more wires, a portable disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above.

[0169] The above description has been given for the purpose of illustration and description. In addition, this description is not intended to limit the embodiments of the present application to the forms disclosed herein. Although multiple example aspects and embodiments have been discussed above, those skilled in the art will recognize certain variations, modifications, changes, additions and sub-combinations thereof.

Claims

1. A double-layer power unit output dispatch optimization method based on priority order balance, characterized in that: include: Build a strategic output model for power generators based on their power generation data and strategies; Build the seller's electricity demand model based on the seller's electricity consumption data and electricity consumption strategy; Based on the strategic output model of the power generator and the power demand model, a two-layer model for unit scheduling optimization is constructed to determine the output plan of the power generator through the two-layer model for unit scheduling optimization.

2. The method for optimizing the output dispatch of two-layer power units based on priority order balance according to claim 1 is characterized in that: The strategic output model of the power generator includes: Energy production cost C per generator set k The formula is as follows: O k =F ck +S ck +M k-1 +M k-2 (2) Among them, q k is the output of the generator set; a k and b k is the cost coefficient parameter of unit k of the power generation enterprise; k is the total marginal operating cost of k generators, where F ck As fixed costs consisting of insurance and administrative expenses; S ck 、M k-1 and M k-2 It is a variable cost consisting of staff, processing materials and maintenance costs; The power generator quotation formula is as follows: V k =b k +a k q k (3) Among them, V k is the energy bid price taking into account all operating costs, q k is the generator output, α k and β k is the strategic quote coefficient; Each power generation enterprise uses the following formula to calculate revenue and profit: Among them, k is the profit of the power generation unit k of the power generation enterprise, λ t Tprice It is the market price.

3. The double-layer power unit output dispatch optimization method based on priority order balance according to claim 2 is characterized in that: The formula in the power demand model is as follows: Among them, B j is the demand function; q j is the demand; c j and d j is the real benefit coefficient; z j is the coefficient of the demand function; The consumer's offer is W j =c j -d j q j (6) Among them, W j is the strategic price variable submitted by each consumer J to the market; γ j and δ j is the seller’s strategic quotation coefficient; The revenue of each consumer enterprise is a function of electricity demand and transaction price, as shown below 4. The method for optimizing the output dispatch of two-layer power units based on priority order balance according to claim 3 is characterized in that: The two-layer model for unit dispatch optimization adopts a trading order equilibrium model to determine energy supply and demand, and adopts a Lagrangian relaxation method to solve the optimal order equilibrium problem to achieve unit output optimization.

5. The method for optimizing the output dispatch of two-layer power units based on priority order balance according to claim 4 is characterized in that: The formula in the two-layer model of unit scheduling optimization is as follows: Among them, J and K represent the number of electricity demanders and electricity supply units; Where L is the Lagrangian function; λ is the Lagrangian multiplier; The following is the Lagrange multiplier solution: Both generators and power demanders become decision makers in unit dispatch output In the two-layer model of unit scheduling optimization, the upper model formula includes: The underlying model formula includes:

6. A double-layer power unit output dispatch optimization device based on priority order balance, characterized in that: include: The first building module is used to build a strategic output model of the power generator based on the power generation data and power generation strategy of the power generator; The second building module is used to build a power demand model of the seller based on the seller's power consumption data and power consumption strategy; The optimization module is used to construct a two-layer model for unit scheduling optimization based on the strategic output model of the power generator and the power demand model, so as to determine the output plan of the power generator through the two-layer model for unit scheduling optimization.

7. The double-layer power unit output dispatch optimization device based on priority order balance according to claim 6 is characterized in that: The strategic output model of the power generator includes: Energy production cost C per generator set k The formula is as follows: Among them, q k is the output of the generator set; a k and b k is the cost coefficient parameter of unit k of the power generation enterprise; k is the total marginal operating cost of k generators, where F ck As fixed costs consisting of insurance and administrative expenses; S ck 、M k-1 and M k-2 It is a variable cost consisting of staff, processing materials and maintenance costs; The power generator quotation formula is as follows: V k =b k +a k q k (3) Among them, V k is the energy bid price taking into account all operating costs, q k is the generator output, α k and β k is the strategic quote coefficient; Each power generation enterprise uses the following formula to calculate revenue and profit: Among them, k is the profit of the power generation unit k of the power generation enterprise, λ t Tprice It is the market price.

8. The double-layer power unit output dispatch optimization device based on priority order balance according to claim 7 is characterized in that: The formula in the power demand model is as follows: Among them, B j is the demand function; q j is the demand; c j and d j is the real benefit coefficient; z j is the coefficient of the demand function; The consumer's offer is W j =c j -d j q j (6) Among them, W j is the strategic price variable submitted by each consumer J to the market; γ j and δ j is the seller’s strategic quotation coefficient; The revenue of each consumer enterprise is a function of electricity demand and transaction price, as shown below 9. An electronic device, characterized in that: include: A processor, and a memory for storing a program executable by the processor; The processor is used to implement the double-layer power unit output dispatch optimization method based on priority balancing as described in any one of claims 1 to 5 by running the program in the memory.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, which, when executed by a processor, enables the processor to execute the double-layer power unit output dispatch optimization method based on priority balancing as described in any one of claims 1 to 5.

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