Virtual power plant regulation capability assessment method and device based on cement load

Abstract

The invention discloses a cement load-based virtual power plant regulation capability evaluation method and device, and belongs to the technical field of virtual power plants, and the method comprises the steps: obtaining the basic data of cement plant equipment; constructing a cement factory operation constraint model according to the cement factory equipment basic data; calculating according to the cement factory operation constraint model to obtain an optimal production plan; and according to the optimal production plan of the cement factory, establishing a virtual power plant regulation capability model based on the cement load, and calculating the regulation potential of each time period. According to the method, the adjustment capability of the cement load can be accurately evaluated, a scientific basis is provided for optimal scheduling of a virtual power plant, and the problem that an existing evaluation method neglects cement production characteristics and market factors and cannot accurately evaluate the adjustment capability is effectively solved.

Description

Technical Field

[0001] The present invention relates to the technical field of virtual power plants, and in particular to a method and device for evaluating the regulation capability of a virtual power plant based on cement load. Background Art

[0002] As global demand for clean energy and power system flexibility continues to grow, virtual power plants (VPPs) have garnered widespread attention as an effective means of integrating distributed energy resources and improving grid stability and reliability. By aggregating various distributed power sources, energy storage devices, and adjustable loads, VPPs optimize the allocation and flexible scheduling of power resources.

[0003] Among the many adjustable loads, the cement industry is a key resource for virtual power plants (VPPs) due to its high energy consumption, extensive equipment, and considerable load adjustment potential. Cement production involves multiple complex processes, including raw material extraction, crushing, grinding, calcination, and cooling, each of which consumes significant amounts of electricity. However, current assessments of the adjustability of cement loads within VPPs have numerous shortcomings.

[0004] On the one hand, existing evaluation methods often overlook the complexity and specificity of the cement production process. Cement production equipment operates under strict process requirements and safety constraints, such as the continuous operation of rotary kilns and the start-stop restrictions of grinding mills. These factors significantly impact the ability to adjust cement loads. On the other hand, there is a lack of in-depth research on the interaction between cement loads and the electricity market. In an electricity market environment, electricity prices fluctuate frequently, and virtual power plants need to rationally adjust the operating status of cement loads based on market price signals to maximize economic benefits. However, current evaluation methods fail to fully consider the impact of electricity prices on cement load regulation.

[0005] Furthermore, due to differences in production scale, equipment type, and management level among cement companies, the regulation characteristics of cement loads are subject to significant uncertainty. This makes it difficult for traditional unified assessment methods to accurately reflect the actual regulation capabilities of each cement company, creating difficulties in scheduling decisions for virtual power plants. Summary of the Invention

[0006] The present invention aims to solve at least one of the technical problems existing in the prior art, and provide a method and device for evaluating the regulation capacity of a virtual power plant based on cement load, so as to achieve accurate evaluation of the regulation capacity of cement load and improve the operating efficiency of the virtual power plant and the stability of the power system.

[0007] One objective of this invention is to propose a method for evaluating the regulation capacity of a virtual power plant based on cement load. This method obtains basic cement plant equipment data, constructs a cement plant operational constraint model, adds an objective function to minimize production electricity costs based on these operational constraints, calculates an optimal production plan, and then establishes a virtual power plant regulation capacity model based on cement load. The model also calculates the regulation potential for each time period. This method comprehensively and accurately evaluates the regulation capacity of the cement load in a virtual power plant, providing a scientific basis for optimal scheduling of the virtual power plant.

[0008] Another objective of the present invention is to provide a device for evaluating the regulation capacity of virtual power plants based on cement loads. This device integrates functional modules such as data acquisition, model building, and computational analysis, automating and intelligentizing the evaluation process. This improves evaluation efficiency and accuracy, helping virtual power plants better utilize cement load resources to participate in power market transactions and system scheduling.

[0009] To achieve the above object, the present invention proposes a method for evaluating the regulation capacity of a virtual power plant based on cement load, comprising the following steps:

[0010] S1, obtain basic data of cement plant equipment;

[0011] S2, building a cement plant operation constraint model based on cement plant equipment basic data;

[0012] S3, calculates the optimal production plan of the cement plant based on its operation constraint model;

[0013] S4, according to the optimal production plan of the cement plant, establish a virtual power plant regulation capacity model based on cement load, and calculate the regulation potential of each time period.

[0014] The present invention obtains basic data of cement plant equipment, constructs an operation constraint model, incorporates the objective function of minimizing electricity cost to derive the optimal production plan, and then establishes a regulation capacity model to calculate the regulation potential of each time period, thereby achieving an accurate assessment of the cement load regulation capacity and providing a scientific basis for the optimal scheduling of virtual power plants.

[0015] In addition, the method for evaluating the regulation capability of a virtual power plant based on cement load according to the above embodiment of the present invention may also have the following additional technical features:

[0016] Furthermore, in one embodiment of the present invention, obtaining basic data of cement plant equipment includes:

[0017] The power consumption rate, material conversion rate, power upper and lower limits of each production equipment under different working conditions, the upper and lower limits of each material storage, initial inventory, detailed order requirements, etc.; among them, the main processes of cement preparation include raw material collection and processing (M1), raw material transmission into the factory (M2), raw material grinding (M3), raw material preheating and decomposition (M4), rotary kiln firing (M5), clinker cooling (M6), clinker grinding (M7), cement packaging (M8), and the important equipment involved include crusher, transmission motor, preheater fan, rotary kiln, etc.

[0018] Furthermore, the cement plant operation constraint model is constructed based on the basic data of cement plant equipment, including:

[0019] α i,t ∈{0,1} (1)

[0020] x i,t+1 =x i,t +λ i ·v i,t -v i+1,t (2)

[0021]

[0022] P i,t =v i,t ·η i (5)

[0023]

[0024] Wherein, formula (1) is the equipment operation state constraint, α i,t represents the equipment operating status of process i at time t, α i,t =1 is running state; α i,t =0 means shutdown state;

[0025] Formula (2) and formula (3) are the material inventory balance equation constraints and inventory upper and lower limit constraints respectively, x i,t 、x i,t+1 is the material inventory of process i at time t and t+1; i is the material conversion coefficient of process i; v i,t 、v i+1,t is the material consumption rate of process i and i+1 at time t; and are the upper and lower limits of material inventory for process i at time t.

[0026] Formula (4) is the material rate constraint, which limits the material consumption rate v of process i at time i. i,t The upper and lower limits of is the maximum input rate, is the minimum input rate.

[0027] Formula (5) is the power constraint, which represents the equipment power P of process i at time t i,t Satisfies, where η i is the power consumption coefficient, which represents the electric power corresponding to the unit input rate of process i.

[0028] Formula (6) highly summarizes and integrates the constraints of the start-stop state variable α of cement plant equipment. g(α)≤b covers all inequality constraints on the start-stop state variable α, and b is determined according to the specific constraints. For the minimum time constraint throughout the year (after generalization), let the total time be T total , the maximum allowed running time is T max , which can be expressed as For the constraint on the running time in the past n hours, set the upper limit of the running time in the past n hours to h max , which can be expressed as For the constraint of limiting the number of starts and stops, set the upper limit of the number of starts and stops to s max , which can be expressed as For minimum run and downtime constraints, build Ensure that the equipment can run continuously for at least time steps, construct Ensure that the equipment can run continuously for at least time steps to ensure the continuity of equipment operation and reduce unnecessary start-stop losses. f(α)=c is an equality constraint covering all start-stop state variables α. c is determined according to specific constraints. For state chain constraints, it can be expressed as α a,t =α b,t ; For the normally open constraint, it can be expressed as α f,t = 1. For the minimum running and downtime equality constraints, construct as well as From the perspective of equations, the continuous state maintenance time after the equipment is started and shut down is accurately specified to further improve the constraint system of the equipment's operating status.

[0029] Furthermore, the S3 further includes:

[0030] x m,T ≥D order (7)

[0031] Where T represents the maximum time of cement plant production test, D order represents the order quantity of cement produced by the cement plant, m represents the total number of processes, which is 8 in this example. Formula (7) means that at the end of the test time, the amount of final product cement produced through M8 steps cannot be less than the order quantity.

[0032]

[0033] Among them, P i,t represents the electric power of the power equipment in link Mi at time t, and β t represents the predicted electricity price at time t.

[0034] Furthermore, in one embodiment of the present invention, the step S4 further includes:

[0035] Using the cement plant operation constraint model of S2 as the constraint condition, the optimal production plan obtained by S3 is used as the power base value:

[0036]

[0037] in, is the power base value of process i in period t without regulation; are the maximum and minimum values ​​that the power of process i can reach during period t, when only period t is involved in the regulation and the other periods are not involved in the regulation; period s refers to the other periods except period t.

[0038] From this, we can get the potential for increasing and decreasing cement load in each process at each time period:

[0039]

[0040] Where: are the power increase and decrease potentials of process i in period t respectively.

[0041] The overall regulation potential of cement load in each period is the sum of the regulation potentials of all processes:

[0042]

[0043] Where: are the overall power increase and decrease potentials of cement load in period t, respectively, and m represents the total number of processes, which is 8 in this example.

[0044] To achieve the above-mentioned purpose, the present invention further proposes a device for evaluating the regulation capability of a virtual power plant based on cement load, comprising:

[0045] Acquisition module, used to obtain basic data of cement plant equipment;

[0046] A first construction module is used to construct a cement plant operation constraint model based on the cement plant equipment basic data;

[0047] A second building block is configured to calculate an optimal production plan of the cement plant according to the operation constraint model of the cement plant;

[0048] The calculation module is used to establish a virtual power plant regulation capacity model based on cement load according to the optimal production plan of the cement plant, and calculate the regulation potential in each time period.

[0049] The present invention is based on a method for evaluating the regulation capacity of a virtual power plant based on cement load. By acquiring basic equipment data of the cement plant, an operation constraint model is constructed, and the objective function of minimizing electricity costs is incorporated to derive the optimal production plan. Then, a regulation capacity model is established to calculate the regulation potential of each time period, thereby achieving an accurate evaluation of the regulation capacity of the cement load and providing a scientific basis for the optimal scheduling of the virtual power plant.

[0050] In addition, the virtual power plant regulation capability evaluation device based on cement load according to the above embodiment of the present invention may also have the following additional technical features:

[0051] Furthermore, the acquisition module is used to obtain basic data of cement plant equipment, including:

[0052] The power consumption rate, material conversion rate, power upper and lower limits of each production equipment under different working conditions, the upper and lower limits of each material storage, initial inventory, detailed order requirements, etc.; among them, the main processes of cement preparation include raw material collection and processing (M1), raw material transmission into the factory (M2), raw material grinding (M3), raw material preheating and decomposition (M4), rotary kiln firing (M5), clinker cooling (M6), clinker grinding (M7), cement packaging (M8), and the important equipment involved include crusher, transmission motor, preheater fan, rotary kiln, etc.

[0053] Furthermore, the first construction module is used to construct a cement plant operation constraint model based on cement plant equipment basic data, including:

[0054] α i,t ∈{0,1} (1)

[0055] x i,t+1 =x i,t +λ i ·v i,t -v i+1,t (2)

[0056]

[0057] P i,t =v i,t ·η i (5)

[0058]

[0059] Wherein, formula (1) is the equipment operation state constraint, α i,t represents the equipment operating status of process i at time t, α i,t=1 is running state; α i,t =0 means shutdown state;

[0060] Formula (2) and formula (3) are the material inventory balance equation constraints and inventory upper and lower limit constraints respectively, x i,t 、x i,t+1 is the material inventory of process i at time t and t+1; i is the material conversion coefficient of process i; v i,t 、v i+1,t is the material consumption rate of process i and i+1 at time t; and are the upper and lower limits of material inventory for process i at time t.

[0061] Formula (4) is the material rate constraint, which limits the material consumption rate v of process i at time i. i,t The upper and lower limits of is the maximum input rate, is the minimum input rate.

[0062] Formula (5) is the power constraint, which represents the equipment power P of process i at time t i,t Satisfies, where η i is the power consumption coefficient, which represents the electric power corresponding to the unit input rate of process i.

[0063] Formula (6) highly summarizes and integrates the constraints of the start-stop state variable α of cement plant equipment. g(α)≤b covers all inequality constraints on the start-stop state variable α, and b is determined according to the specific constraints. For the minimum time constraint throughout the year (after generalization), let the total time be T total , the maximum allowed running time is T max , which can be expressed as For the constraint on the running time in the past n hours, set the upper limit of the running time in the past n hours to h max , which can be expressed as For the constraint of limiting the number of starts and stops, set the upper limit of the number of starts and stops to s max , which can be expressed as For minimum run and downtime constraints, build Ensure that the equipment can run continuously for at least time steps, construct Ensure that the equipment can run continuously for at least time steps to ensure the continuity of equipment operation and reduce unnecessary start-stop losses. f(α)=c is an equality constraint covering all start-stop state variables α. c is determined according to specific constraints. For state chain constraints, it can be expressed as α a,t =α b,t ; For the normally open constraint, it can be expressed as α f,t= 1. For the minimum running and downtime equality constraints, construct as well as From the perspective of equations, the continuous state maintenance time after the equipment is started and shut down is accurately specified to further improve the constraint system of the equipment's operating status.

[0064] Furthermore, the second construction module is further used to calculate the optimal production plan of the cement plant according to the operation constraint model of the cement plant, including:

[0065] x m,T ≥D order (7)

[0066] Where T represents the maximum time of cement plant production test, D order represents the order quantity of cement produced by the cement plant, m represents the total number of processes, which is 8 in this example. Formula (7) means that at the end of the test time, the amount of final product cement produced through M8 steps cannot be less than the order quantity.

[0067]

[0068] Among them, P i,t represents the electric power of the power equipment in link Mi at time t, and β t represents the predicted electricity price at time t.

[0069] Furthermore, the calculation module is used to establish a virtual power plant regulation capability model based on cement load according to the optimal production plan of the cement plant, and calculate the regulation potential of each time period, including:

[0070] A setting unit, configured to set the cement plant operation constraint model as a constraint condition;

[0071] The initial power calculation unit is used to determine the power base value of each time period according to the optimal production plan;

[0072]

[0073] in, is the power base value of process i in period t without regulation; are the maximum and minimum values ​​that the power of process i can reach during period t, when only period t is involved in the regulation and the other periods are not involved in the regulation; period s refers to the other periods except period t.

[0074] From this, we can get the potential for increasing and decreasing cement load in each process at each time period:

[0075]

[0076] Where: are the power increase and decrease potentials of process i in period t respectively.

[0077] The overall regulation potential of cement load in each period is the sum of the regulation potentials of all processes:

[0078]

[0079] Where: are the overall power increase and decrease potentials of cement load in period t, respectively, and m represents the total number of processes, which is 8 in this example.

[0080] The judgment unit is used to output feasible solutions for virtual power plants to participate in scheduling based on the matching degree between regulation potential and grid demand.

[0081] The beneficial effects of the present invention are as follows: by comprehensively considering the complexity of the cement production process and electricity market factors, the present invention can accurately evaluate the regulation capacity of the cement load, provide a scientific basis for the optimal scheduling of virtual power plants, and effectively solve the problem that the existing evaluation methods ignore the cement production characteristics and market factors and cannot accurately evaluate the regulation capacity; in addition, the device provided by the present invention integrates functional modules such as data acquisition, model construction, and calculation and analysis to realize the automation and intelligence of the evaluation process, which helps virtual power plants to better utilize cement load resources to participate in electricity market transactions and system scheduling, and improve the operating efficiency of virtual power plants and the stability and economy of the power system. BRIEF DESCRIPTION OF THE DRAWINGS

[0082] The above and / or additional aspects and advantages of the present invention will become apparent and readily understood from the following description of the embodiments with reference to the accompanying drawings, in which:

[0083] Figure 1 Flowchart of a method for evaluating virtual power plant regulation capability based on cement load according to one embodiment of the present invention;

[0084] Figure 2 A schematic diagram of a process for constructing an operation constraint model for a cement plant according to an embodiment of the present invention;

[0085] Figure 3 A schematic diagram of a calculation process of a virtual power plant regulation capability model according to an embodiment of the present invention;

[0086] Figure 4 Schematic diagram of the structure of a virtual power plant regulation capability evaluation device based on cement load according to an embodiment of the present invention. DETAILED DESCRIPTION

[0087] The following describes embodiments of the present invention in detail, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present invention, and are not to be construed as limiting the present invention.

[0088] The following describes a method and device for evaluating the regulation capability of a virtual power plant based on cement load according to an embodiment of the present invention with reference to the accompanying drawings.

[0089] First, a method for evaluating the regulation capability of a virtual power plant based on cement load according to an embodiment of the present invention will be described with reference to the accompanying drawings.

[0090] Figure 1 The flowchart of the method for evaluating the regulation capability of a virtual power plant based on cement load according to one embodiment of the present invention is shown.

[0091] like Figure 1 As shown, the virtual power plant regulation capability evaluation method based on cement load includes the following steps:

[0092] Step S1, obtaining basic data of cement plant equipment.

[0093] Specifically, detailed data on the main processes and key equipment in the cement production process was collected. This included the power consumption rate, material conversion rate, upper and lower power limits of each production equipment under different operating conditions, upper and lower storage limits of each material, initial inventory, and detailed order requirements. The main cement production processes included raw material collection and processing (M1), raw material delivery to the factory (M2), raw meal grinding (M3), raw meal preheating and decomposition (M4), rotary kiln firing (M5), clinker cooling (M6), clinker grinding (M7), and cement packaging (M8). Key equipment involved included crushers, transmission motors, preheater fans, and rotary kilns.

[0094] Step S2: constructing a cement plant operation constraint model based on cement plant equipment basic data.

[0095] After obtaining the basic data of cement plant equipment, the operation constraint model of the cement plant is constructed based on the basic data of cement plant equipment. The expression is as follows:

[0096] α i,t ∈{0,1}(1)

[0097] x i,t+1 =x i,t +λ i ·v i,t -v i+1,t (2)

[0098]

[0099] P i,t =v i,t ·η i (5)

[0100]

[0101] Wherein, formula (1) is the equipment operation state constraint, α i,t represents the equipment operating status of process i at time t, α i,t =1 is running state; α i,t =0 means shutdown state;

[0102] Formula (2) and formula (3) are the material inventory balance equation constraints and inventory upper and lower limit constraints respectively, x i,t 、x i,t+1 is the material inventory of process i at time t and t+1; i is the material conversion coefficient of process i; v i,t 、v i+1,t is the material consumption rate of process i and i+1 at time t; and are the upper and lower limits of material inventory for process i at time t.

[0103] Formula (4) is the material rate constraint, which limits the material consumption rate v of process i at time i. i,t The upper and lower limits of is the maximum input rate, is the minimum input rate.

[0104] Formula (5) is the power constraint, which represents the equipment power P of process i at time t i,t Satisfies, where η i is the power consumption coefficient, which represents the electric power corresponding to the unit input rate of process i.

[0105] Formula (6) highly summarizes and integrates the constraints of the start-stop state variable α of cement plant equipment. g(α)≤b covers all inequality constraints on the start-stop state variable α, and b is determined according to the specific constraints. For the minimum time constraint throughout the year (after generalization), let the total time be T total , the maximum allowed running time is T max , which can be expressed as For the constraint on the running time in the past n hours, set the upper limit of the running time in the past n hours to h max , which can be expressed as For the constraint of limiting the number of starts and stops, set the upper limit of the number of starts and stops to s max , which can be expressed as For minimum run and downtime constraints, build Ensure that the equipment can run continuously for at least time steps, construct Ensure that the equipment can run continuously for at least time steps to ensure the continuity of equipment operation and reduce unnecessary start-stop losses. f(α)=c is an equality constraint covering all start-stop state variables α. c is determined according to specific constraints. For state chain constraints, it can be expressed as α a,t =α b,t ; For the normally open constraint, it can be expressed as α f,t = 1. For the minimum running and downtime equality constraints, construct as well as From the perspective of equations, the continuous state maintenance time after the equipment is started and shut down is accurately specified to further improve the constraint system of the equipment's operating status.

[0106] Step S3: Calculate the optimal production plan of the cement plant based on the operation constraint model.

[0107] Specifically, based on the above-obtained objective function of minimizing the production electricity cost based on the cement plant operation constraints, the optimal power schedule is obtained, including:

[0108] x m,T ≥D order (7)

[0109] Where T represents the maximum time of cement plant production test, D order represents the order quantity of cement produced by the cement plant, m represents the total number of processes, which is 8 in this example. Formula (7) means that at the end of the test time, the amount of final product cement produced through M8 steps cannot be less than the order quantity.

[0110]

[0111] Among them, P i,t represents the electric power of the power equipment in link Mi at time t, and β t represents the predicted electricity price at time t.

[0112] Step S4: According to the optimal production plan of the cement plant, a virtual power plant regulation capability model based on cement load is established, and the regulation potential of each time period is calculated.

[0113] Using the cement plant operation constraint model of S2 as the constraint condition, the optimal production plan obtained by S3 is used as the power base value:

[0114]

[0115] in, is the power base value of process i in period t without regulation; are the maximum and minimum values ​​that the power of process i can reach during period t, when only period t is involved in the regulation and the other periods are not involved in the regulation; period s refers to the other periods except period t.

[0116] From this, we can get the potential for increasing and decreasing cement load in each process at each time period:

[0117]

[0118] Where: are the power increase and decrease potentials of process i in period t respectively.

[0119] The overall regulation potential of cement load in each period is the sum of the regulation potentials of all processes:

[0120]

[0121] Where: are the overall power increase and decrease potentials of cement load in period t, respectively, and m represents the total number of processes, which is 8 in this example.

[0122] like Figure 3 As shown, Figure 3 As shown, it is the overall flow chart of an embodiment of the present invention, which obtains the basic data of cement plant equipment, constructs the cement plant operation constraint model, adds the objective function of minimizing the production electricity cost on the basis of the operation constraint, calculates the optimal production plan, and on this basis establishes a virtual power plant regulation capability model based on cement load, and calculates the regulation potential of each time period.

[0123] The above method fills the gap in the current virtual power plant's lack of accurate quantitative means for evaluating the cement load regulation capacity. Traditional evaluation methods fail to fully consider the complex process constraints and volatile electricity market factors in the cement production process, resulting in deviations in the evaluation results of cement load regulation capacity and an inability to provide strong support for virtual power plant scheduling decisions. The present invention comprehensively integrates data from all aspects of cement production, deeply analyzes the inherent connection between equipment operation, material flow and power consumption, and constructs a model that can accurately characterize the regulation characteristics of cement load in different scenarios.

[0124] Next, a device for evaluating the regulation capability of a virtual power plant based on cement load according to an embodiment of the present invention will be described with reference to the accompanying drawings.

[0125] Figure 4 Schematic diagram of the structure of a virtual power plant regulation capability evaluation device based on cement load according to an embodiment of the present invention.

[0126] like Figure 4As shown, the cement load-based virtual power plant regulation capability evaluation device includes: an acquisition module 100, a first construction module 200, a second construction module 300 and a calculation module 400.

[0127] The acquisition module 100 is used to acquire basic data of cement plant equipment.

[0128] The first construction module 200 is used to construct a cement plant operation constraint model according to the cement plant equipment basic data.

[0129] The second building module 300 is used to calculate the optimal production plan of the cement plant according to the operation constraint model of the cement plant.

[0130] The calculation module 400 is used to establish a virtual power plant regulation capability model based on cement load according to the optimal production plan of the cement plant, and calculate the regulation potential of each time period.

[0131] The device will use a virtual power plant regulation capacity assessment method based on cement load to obtain basic equipment data of the cement plant, build an operation constraint model, incorporate the objective function of minimizing electricity costs to derive the optimal production plan, and then establish a regulation capacity model to calculate the regulation potential of each time period, thereby achieving an accurate assessment of the cement load regulation capacity and providing a scientific basis for the optimal scheduling of virtual power plants.

[0132] Furthermore, in one embodiment of the present invention, the acquisition module 100 is used to acquire basic data of cement plant equipment, including:

[0133] The power consumption rate, material conversion rate, power upper and lower limits of each production equipment under different working conditions, the upper and lower limits of each material storage, initial inventory, detailed order requirements, etc.; among them, the main processes of cement preparation include raw material collection and processing (M1), raw material transmission into the factory (M2), raw material grinding (M3), raw material preheating and decomposition (M4), rotary kiln firing (M5), clinker cooling (M6), clinker grinding (M7), cement packaging (M8), and the important equipment involved include crusher, transmission motor, preheater fan, rotary kiln, etc.

[0134] Furthermore, in one embodiment of the present invention, the first construction module 200 is used to construct a cement plant operation constraint model based on cement plant equipment basic data, including:

[0135] α i,t ∈{0,1} (1)

[0136] x i,t+1 =x i,t +λ i ·v i,t -v i+1,t (2)

[0137]

[0138] P i,t =v i,t ·η i (5)

[0139]

[0140] Wherein, formula (1) is the equipment operation state constraint, α i,t represents the equipment operating status of process i at time t, α i,t =1 is running state; α i,t =0 means shutdown state;

[0141] Formula (2) and formula (3) are the material inventory balance equation constraints and inventory upper and lower limit constraints respectively, x i,t 、x i,t+1 is the material inventory of process i at time t and t+1; i is the material conversion coefficient of process i; v i,t 、v i+1,t is the material consumption rate of process i and i+1 at time t; and are the upper and lower limits of material inventory for process i at time t.

[0142] Formula (4) is the material rate constraint, which limits the material consumption rate v of process i at time i. i,t The upper and lower limits of is the maximum input rate, is the minimum input rate.

[0143] Formula (5) is the power constraint, which represents the equipment power P of process i at time t i,t Satisfies, where η i is the power consumption coefficient, which represents the electric power corresponding to the unit input rate of process i.

[0144] Formula (6) highly summarizes and integrates the constraints of the start-stop state variable α of cement plant equipment. g(α)≤b covers all inequality constraints on the start-stop state variable α, and b is determined according to the specific constraints. For the minimum time constraint throughout the year (after generalization), let the total time be T total , the maximum allowed running time is T max , which can be expressed as For the constraint on the running time in the past n hours, set the upper limit of the running time in the past n hours to h max , which can be expressed as For the constraint of limiting the number of starts and stops, set the upper limit of the number of starts and stops to s max , which can be expressed as For minimum run and downtime constraints, build Ensure that the equipment can run continuously for at least time steps, construct Ensure that the equipment can run continuously for at least time steps to ensure the continuity of equipment operation and reduce unnecessary start-stop losses. f(α)=c is an equality constraint covering all start-stop state variables α. c is determined according to specific constraints. For state chain constraints, it can be expressed as α a,t =α b,t ; For the normally open constraint, it can be expressed as α f,t = 1. For the minimum running and downtime equality constraints, construct as well as From the perspective of equations, the continuous state maintenance time after the equipment is started and shut down is accurately specified to further improve the constraint system of the equipment's operating status.

[0145] Furthermore, in one embodiment of the present invention, the second building module 300 is further configured to calculate an optimal production plan of the cement plant according to the operation constraint model of the cement plant, including:

[0146] x m,T ≥D order (7)

[0147] Where T represents the maximum time of cement plant production test, D order represents the order quantity of cement produced by the cement plant, m represents the total number of processes, which is 8 in this example. Formula (7) means that at the end of the test time, the amount of final product cement produced through M8 steps cannot be less than the order quantity.

[0148]

[0149] Among them, P i,t represents the electric power of the power equipment in link Mi at time t, and β t represents the predicted electricity price at time t.

[0150] Furthermore, in one embodiment of the present invention, the calculation module 400 is configured to establish a virtual power plant regulation capability model based on cement load according to the optimal production plan of the cement plant, and calculate the regulation potential of each time period, including:

[0151] A setting unit, configured to set the cement plant operation constraint model as a constraint condition;

[0152] The initial power calculation unit is used to determine the power base value of each time period according to the optimal production plan;

[0153]

[0154] in, is the power base value of process i in period t without regulation; are the maximum and minimum values ​​that the power of process i can reach during period t, when only period t is involved in the regulation and the other periods are not involved in the regulation; period s refers to the other periods except period t.

[0155] From this, we can get the potential for increasing and decreasing cement load in each process at each time period:

[0156]

[0157] Where: are the power increase and decrease potentials of process i in period t respectively.

[0158] The overall regulation potential of cement load in each period is the sum of the regulation potentials of all processes:

[0159]

[0160] Where: are the overall power increase and decrease potentials of cement load in period t, respectively, and m represents the total number of processes, which is 8 in this example.

[0161] The judgment unit is used to output feasible solutions for virtual power plants to participate in scheduling based on the matching degree between regulation potential and grid demand.

[0162] It should be noted that the above explanation of the embodiment of the method for evaluating the regulation capability of a virtual power plant based on cement load is also applicable to the device of this embodiment and will not be repeated here.

[0163] According to the cement load-based virtual power plant regulation capacity assessment device proposed in an embodiment of the present invention, by acquiring basic data of cement plant equipment, constructing an operation constraint model, and incorporating the objective function of minimizing electricity cost to derive an optimal production plan, a regulation capacity model is then established, and the regulation potential of each time period is calculated, thereby achieving an accurate assessment of the cement load regulation capacity and providing a scientific basis for the optimal scheduling of virtual power plants.

[0164] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of the technical features being referred to. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present invention, "plurality" means at least two, such as two, three, etc., unless otherwise specifically defined.

[0165] In the description of this specification, the reference terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" mean that the specific features, structures, materials or characteristics described in conjunction 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, those skilled in the art can combine and combine different embodiments or examples described in this specification and features of different embodiments or examples without contradiction.

[0166] Although the embodiments of the present invention have been shown and described above, it will be understood that the above embodiments are illustrative and are not to be construed as limitations on the present invention. A person skilled in the art may change, modify, replace and modify the above embodiments within the scope of the present invention.

Claims

1. A method for evaluating the regulation capacity of a virtual power plant based on cement load, characterized in that: The following steps are involved: S1, obtain basic data of cement plant equipment; S2, building a cement plant operation constraint model based on cement plant equipment basic data; S3, calculates the optimal production plan of the cement plant based on its operation constraint model; S4, according to the optimal production plan of the cement plant, establish a virtual power plant regulation capacity model based on cement load, and calculate the regulation potential of each time period.

2. The method for evaluating the regulation capability of a virtual power plant based on cement load according to claim 1, characterized in that: The basic data of cement plant equipment includes: The power consumption rate, material conversion rate, upper and lower power limits of each production equipment under different working conditions, the upper and lower storage limits of each material, initial inventory, and detailed order requirements.

3. The method for evaluating the regulation capability of a virtual power plant based on cement load according to claim 1, characterized in that: The cement plant operation constraint model in S2 includes α i,t ∈{0,1} (1) x i,t+1 =x i,t +λ i ·v i,t -v i+1,t (2) P i,t =v i,t ·or i (5) Wherein, formula (1) is the equipment operation state constraint, α i,t represents the equipment operating status of process i at time t, α i,t =1 is running state; α i,t =0 means shutdown state; Formula (2) and formula (3) are the material inventory balance equation constraints and inventory upper and lower limit constraints respectively, x i,t 、x i,t+1 is the material inventory of process i at time t and t+1; i is the material conversion coefficient of process i; v i,t 、v i+1,t is the material consumption rate of process i and i+1 at time t; and are the upper and lower limits of material inventory for process i at time t; Formula (4) is the material rate constraint, which limits the material consumption rate v of process i at time i. i,t The upper and lower limits of is the maximum input rate, is the minimum input rate; Formula (5) is the power constraint, which represents the equipment power P of process i at time t i,t Satisfies, where η i is the power consumption coefficient, which represents the electric power corresponding to the unit input rate of process i; Formula (6) highly summarizes and integrates the constraints of the start-stop state variable α of cement plant equipment. g(α)≤b covers all inequality constraints on the start-stop state variable α. b is determined according to the specific constraints. After generalizing the minimum time constraint for the whole year, the total time is set to T total , the maximum allowed running time is T max , expressed as For the constraint on the running time in the past n hours, set the upper limit of the running time in the past n hours to h max , expressed as For the constraint of limiting the number of starts and stops, set the upper limit of the number of starts and stops to s max , expressed as For minimum run and downtime constraints, build Ensure that the equipment can run continuously for at least time steps, construct Ensure that the equipment can run continuously for at least time steps, f(α) = c is an equality constraint covering all start and stop state variables α, c is determined according to the specific constraints, and for state chain constraints, it is expressed as α a,t =α b,t ; For the normally open constraint, it is expressed as α f,t = 1, for the minimum running and downtime equality constraints, construct as well as Accurately specify the continuous state maintenance time after the equipment is started and shut down from the perspective of equation.

4. The method for evaluating the regulation capability of a virtual power plant based on cement load according to claim 1, characterized in that: Said S3 further comprises: Based on the operation constraint model, the objective function of minimizing the production electricity cost is added to obtain the optimal power arrangement: x m,T ≥D order (7) Where t represents the maximum time of cement plant production test, D order represents the order quantity of cement produced by the cement plant, m represents the total number of processes, and the meaning of formula (7) is that at the end of the test time, the amount of final product cement produced cannot be less than the order quantity. Among them, P i,t represents the electric power of the power equipment in link Mi at time t, and β t represents the predicted electricity price at time t.

5. The method for evaluating the regulation capability of a virtual power plant based on cement load according to claim 1, characterized in that: Said S4 further comprises: Using the cement plant operation constraint model of S2 as the constraint condition and the optimal production plan obtained by S3 as the power base value, solve the following two optimization problems: in, is the power base value of process i in period t without regulation; are the maximum and minimum values ​​that the power of process i can reach during period t, respectively, when only period t participates in regulation and the rest of the periods do not participate in regulation; period s refers to the rest of the periods except period t; The potential for increasing and decreasing cement load in each process at each time period is obtained as follows: Where: are the power increase and decrease potentials of process i in period t respectively; The overall regulation potential of cement load in each period is the sum of the regulation potentials of all processes: Where: P t u 、P t d are the overall power increase and decrease potentials of cement load in period t, and m represents the total number of processes.

6. A device for applying the method according to any one of claims 1 to 5, characterized in that: include: Acquisition module, used to obtain basic data of cement plant equipment; A first construction module is used to construct a cement plant operation constraint model based on the cement plant equipment basic data; A second building block is configured to calculate an optimal production plan of the cement plant according to the operation constraint model of the cement plant; The calculation module is used to establish a virtual power plant regulation capacity model based on cement load according to the optimal production plan of the cement plant, and calculate the regulation potential in each time period.

7. The device according to claim 6, characterized in that It also includes a judgment unit for outputting feasible solutions for virtual power plants to participate in scheduling based on the matching degree between regulation potential and grid demand.

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