A method, device and medium for an electrolytic zinc load to participate in demand response capacity declaration
By constructing a power regulation cost model and response capacity benefit model of electrolytic zinc load production equipment, the capacity declaration of electrolytic zinc load participation demand response is optimized, and the problem of limited enthusiasm for electrolytic zinc load participation demand response in the existing technology is solved, achieving maximization of economic benefits and improving grid stability.
Patent Information
- Application Number
- CN202510536431.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-04-27
- Publication Date
- 2025-06-24
- Estimated Expiration
- 2045-04-27
AI Technical Summary
The prior art lacks a capacity declaration method that comprehensively considers the load characteristics of electrolytic zinc loads and demand response benefits, resulting in the enthusiasm of industrial loads to participate in demand responses.
By constructing a power regulation cost model for electrolytic zinc load production equipment, and combining response capacity benefits, a load expected net income optimization model aimed at maximizing net income from load is constructed, and the declaration value of electrolytic zinc load participation demand response capacity is solved.
It maximizes the economic benefits of electrolytic zinc load when participating in demand response, alleviates the peak regulating pressure of the power grid, improves the regulation flexibility of the power system, and ensures the safety and stability of the production process.
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Figure CN120049452B_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to a method, device and medium for an electrolytic zinc load to participate in demand response capacity declaration, belonging to the technical field of smart grid and power demand response. Background Art
[0002] With the continuous increase in the proportion of new energy in the new power system, the demand for regulation flexibility in the power system has become increasingly prominent. To fully tap the potential of flexible load resources on the demand side, an invitation mechanism is used to guide power users to declare response capacity based on their own regulation capabilities and select response time periods, and independently execute responses according to the agreement to participate in system peak shaving and valley filling to ensure the safe and stable operation of the power grid.
[0003] Among various demand-side resources, high-energy-consuming industrial loads have prominent demand response potential due to their large single capacity and strong power controllability. However, there is currently a lack of a capacity declaration method that comprehensively considers load characteristics and demand response benefits, which severely restricts the enthusiasm of industrial loads to participate in demand response. Taking the electrolytic zinc load as an example, as a typical high-energy-consuming industrial load, it has significant regulation capabilities. If it can be effectively guided to participate in demand response, the peak shaving pressure on the power grid will be significantly alleviated. It should be noted that the electrolytic zinc production process is complex and special, and its response capacity declaration must take into account both production safety and economic benefits. Therefore, how to scientifically formulate a response capacity declaration strategy to maximize the net income of the load while ensuring the safety of the production process has become a key problem to be solved urgently.
[0004] The prior art, such as the Chinese patent application with the publication number "CN1467310A", discloses a time-sharing power supply optimization scheduling technology for zinc electrolysis process, including the following steps: establishing a fuzzy neural network model between current density, power consumption and current efficiency, and online automatically correcting the model parameters according to the changing production conditions; establishing an optimization control model with the power consumption cost of the zinc electrolysis process as the objective and the output and production process as the constraint conditions; using the penalty function method and a heuristic simulated annealing method with mutation operation and variable search space to solve the time-sharing power supply optimization scheduling problem of zinc electrolysis and provide an optimal time-sharing power supply scheduling plan in real time. However, the above patent mainly focuses on reducing production costs by optimizing the current density. Although it takes into account the time-of-use electricity pricing policy, it does not directly involve the demand response mechanism. At the same time, the above patent lacks a comprehensive consideration of the flexible regulation capabilities of the electrolytic zinc load in demand response, such as the up and down regulation capabilities and response speed of the load. And it mainly focuses on the optimization of the current density in the zinc electrolysis process and does not involve the collaborative optimization of multiple devices (such as crushers, ball mills, mixers, electrolytic cells, etc.) inside the electrolytic zinc load. Summary of the Invention
[0005] To solve the problems existing in the above-mentioned prior art, the present invention proposes a method, device and medium for electrolytic zinc load to participate in demand response capacity declaration.
[0006] The technical solution of the present invention is as follows:
[0007] On the one hand, the present invention provides a method for electrolytic zinc load to participate in demand response capacity declaration, including the following steps:
[0008] Determine the electrolytic zinc load production equipment, including crushers, ball mills, mixers and electrolytic cells;
[0009] Construct a power regulation cost model for the electrolytic zinc load production equipment and formulate corresponding constraint conditions, and output the power regulation cost of the electrolytic zinc load production equipment based on the power regulation cost model of the electrolytic zinc load production equipment;
[0010] Calculate the demand response declaration capacity of the electrolytic zinc load, and calculate the response capacity revenue of the electrolytic zinc load according to the demand response declaration capacity of the electrolytic zinc load;
[0011] Based on the power regulation cost and the response capacity revenue of the electrolytic zinc load, construct a load expected net revenue optimization model with the goal of maximizing the load net revenue;
[0012] Solve the load expected net revenue optimization model to obtain the electrolytic zinc load participation demand response capacity declaration value.
[0013] As a preferred embodiment, the power regulation cost model of the crusher is expressed by the formula:
[0014] ;
[0015] In the formula, represents the power regulation cost of the crusher, represents the penalty cost coefficient of the crusher, represents the initial investment cost of the crusher, represents the energy consumption cost coefficient of the crusher, represents the power adjustment amount of the crusher when the electrolytic zinc load participates in demand response, represents the time when the electrolytic zinc load participates in demand response;
[0016] The constraint conditions include the power adjustment amount constraint of the crusher;
[0017] The power adjustment amount constraint of the crusher is expressed by the formula:
[0018] ;
[0019] In the formula, Indicates the maximum value of the power adjustment amount of the crusher when the electrolytic zinc load participates in demand response.
[0020] As a preferred embodiment, the power regulation cost model of the ball mill is expressed by the formula:
[0021] ;
[0022] In the formula, Indicates the power regulation cost of the ball mill, Indicates the grinding efficiency of the ball mill, Indicates the product revenue when the electrolytic zinc load is at the rated power of the ball mill, Indicates the energy consumption cost coefficient of the ball mill, Indicates the power adjustment amount of the ball mill when the electrolytic zinc load participates in demand response, Indicates the time when the electrolytic zinc load participates in demand response;
[0023] Among them, the grinding efficiency Of the ball mill and the power adjustment amount Of the ball mill when the electrolytic zinc load participates in demand response are in a linear relationship. The method for obtaining the grinding efficiency Of the ball mill is expressed by the formula:
[0024] ;
[0025] In the formula, Indicates a linear function;
[0026] The constraint conditions include the power adjustment amount constraint of the ball mill;
[0027] The power adjustment amount constraint of the ball mill is expressed by the formula:
[0028] ;
[0029] In the formula, Indicates the maximum value of the power adjustment amount of the ball mill when the electrolytic zinc load participates in demand response.
[0030] As a preferred embodiment, the power regulation cost model of the mixer is expressed by the formula:
[0031] ;
[0032] In the formula, Indicates the power regulation cost of the mixer, Indicates the mixing uniformity cost coefficient of the mixer, Indicates the product revenue when the electrolytic zinc load is at the rated power of the mixer, Indicates the energy consumption cost coefficient of the mixer, Represents the power adjustment amount of the mixer when the electrolytic zinc load participates in demand response, Represents the time when the electrolytic zinc load participates in demand response;
[0033] The constraint conditions include the power adjustment amount constraint of the mixer;
[0034] The power adjustment amount constraint of the mixer is expressed by the formula:
[0035] ;
[0036] In the formula, Represents the maximum power adjustment amount of the mixer when the electrolytic zinc load participates in demand response.
[0037] As a preferred implementation, the power regulation cost model of the electrolytic cell is expressed by the formula:
[0038] ;
[0039] In the formula, Represents the power regulation cost of the electrolytic cell, Represents the penalty cost coefficient of the electrolytic cell, Represents the initial investment cost of the electrolytic cell, Represents the reaction rate cost coefficient of the electrolytic cell, Represents the product revenue of the electrolytic zinc load when the electrolytic cell is at the rated power, Represents the energy consumption cost coefficient of the electrolytic cell, Represents the power adjustment amount of the electrolytic cell when the electrolytic zinc load participates in demand response, Represents the time when the electrolytic zinc load participates in demand response;
[0040] The constraint conditions include the power adjustment amount constraint of the electrolytic cell;
[0041] The power adjustment amount constraint of the electrolytic cell is expressed by the formula:
[0042] ;
[0043] In the formula, Represents the maximum power adjustment amount of the electrolytic cell when the electrolytic zinc load participates in demand response.
[0044] As a preferred implementation, calculate the demand response declaration capacity of the electrolytic zinc load, and calculate the response capacity revenue of the electrolytic zinc load according to the demand response declaration capacity of the electrolytic zinc load. The specific steps are as follows:
[0045] Calculate the demand response declaration capacity of the electrolytic zinc load, which is expressed by the formula:
[0046] ;
[0047] In the formula, represents the declared capacity of demand response for the electrolytic zinc load, represents the power adjustment amount of the crusher when the electrolytic zinc load participates in demand response, represents the power adjustment amount of the ball mill when the electrolytic zinc load participates in demand response, represents the power adjustment amount of the mixer when the electrolytic zinc load participates in demand response, represents the power adjustment amount of the electrolytic cell when the electrolytic zinc load participates in demand response;
[0048] The response capacity benefit of the electrolytic zinc load is calculated according to the ratio of the actual response capacity of the electrolytic zinc load to the declared capacity of demand response of the electrolytic zinc load and is expressed by the formula as:
[0049] ;
[0050] In the formula, represents the actual response capacity of the electrolytic zinc load;
[0051] The response capacity benefit of the electrolytic zinc load is calculated by the method and is expressed by the formula as:
[0052] ;
[0053] In the formula, represents the unit price of load response capacity subsidy, represents the time when the electrolytic zinc load participates in demand response, represents the response speed coefficient.
[0054] As a preferred implementation manner, a load expected net benefit optimization model aiming at maximizing the load net benefit is constructed based on the power regulation cost and the response capacity benefit of the electrolytic zinc load. The load expected net benefit optimization model is expressed by the formula as:
[0055] ;
[0056] ;
[0057] ;
[0058] In the formula, represents the maximum value function, represents the expected value of the load net benefit, represents the load net benefit, represents the preset probability, represents the ratio interval segment index, represents the index of the electrolytic zinc load production equipment type, represents the power regulation cost of the electrolytic zinc load production equipment represents the power adjustment amount of the electrolytic zinc load production equipment when the electrolytic zinc load participates in demand response represents the proportionality coefficient
[0059] As a preferred embodiment, the load expected net income optimization model is solved through mathematical calculations and the optimization solver in the simulation software matlab
[0060] On the other hand, the present invention also provides an electronic device, on which a computer program is stored, and when the computer program is executed by a processor, it realizes the method for declaring the capacity of the electrolytic zinc load participating in demand response as described in any embodiment of the present invention
[0061] On the other hand, the present invention also provides a computer-readable storage medium for storing one or more programs, and when the one or more programs are executed by the one or more processors, the one or more processors are caused to realize the method for declaring the capacity of the electrolytic zinc load participating in demand response as described in any embodiment of the present invention
[0062] The present invention has the following beneficial effects
[0063] 1. By constructing a load expected net income optimization model and comprehensively considering the power regulation cost of the electrolytic zinc load production equipment and the response capacity income, the present invention can solve the maximum value of the declared capacity of the electrolytic zinc load participating in demand response. This helps the electrolytic zinc enterprises to maximize their economic benefits when participating in demand response
[0064] 2. By guiding the electrolytic zinc load to scientifically participate in demand response, the present invention can effectively relieve the peak shaving pressure of the power grid, improve the regulation flexibility of the power system, and thus ensure the safe and stable operation of the power grid
[0065] 3. By guiding users to declare the response capacity and select the response time period based on their own adjustment capabilities, the power market can more accurately reflect the supply and demand relationship and promote the optimal allocation of power resources
[0066] 4. When constructing the power regulation cost model, the present invention fully considers the impact of the power adjustment of each device on the production process and formulates corresponding constraints. This helps to ensure that the electrolytic zinc load will not have an adverse impact on the production process when participating in demand response, and guarantees the safety and stability of production Description of the Drawings
[0067] Figure 1 is the flowchart of the method implementation of the present invention Detailed Embodiments
[0068] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. 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.
[0069] It should be understood that the step numbers used in the text are only for convenient description and do not limit the execution order of the steps.
[0070] It should be understood that the terms used in the specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. As used in the specification of the present invention and the appended claims, unless the context clearly indicates otherwise, the singular forms "a", "an" and "the" are intended to include the plural forms.
[0071] The terms "comprising" and "including" indicate the presence of the described features, wholes, steps, operations, elements and / or components, but do not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components and / or their combinations.
[0072] The term "and / or" refers to any combination and all possible combinations of one or more of the associated listed items, and includes these combinations.
[0073] Embodiment 1:
[0074] See Figure 1 , the present invention provides a method for declaring the demand response capacity participated by the electrolytic zinc load, including the following steps:
[0075] Determine the electrolytic zinc load production equipment, including crushers, ball mills, mixers and electrolytic cells;
[0076] Construct a power regulation cost model for the electrolytic zinc load production equipment, and formulate corresponding constraint conditions, and output the power regulation cost of the electrolytic zinc load production equipment based on the power regulation cost model of the electrolytic zinc load production equipment;
[0077] Calculate the demand response declaration capacity of the electrolytic zinc load, and calculate the response capacity revenue of the electrolytic zinc load according to the demand response declaration capacity of the electrolytic zinc load;
[0078] Based on the power regulation cost and the response capacity revenue of the electrolytic zinc load, construct a load expected net revenue optimization model with the goal of maximizing the load net revenue;
[0079] Solve the load expected net revenue optimization model to obtain the declared value of the electrolytic zinc load participating in the demand response capacity.
[0080] Analyze the production process flow of the electrolytic zinc load to determine the production equipment for the electrolytic zinc load. The production process flow includes:
[0081] The first step is the raw material preparation link. First, a crusher is needed to crush zinc ore into smaller particles for subsequent grinding. Then, a ball mill is used to further grind the crushed zinc ore to increase the zinc content rate of the zinc ore, facilitating processing in subsequent processing links. And subsequent links all rely on the raw materials provided by the raw material preparation link. The power of the crusher and the ball mill in the raw material preparation link are both adjustable.
[0082] The second step is the acid leaching treatment link. The zinc ore is put into an acid leaching tank containing sulfuric acid solution for acid leaching reaction. Then, a stirrer is used to stir the solution during acid leaching to promote the reaction. Finally, a solution containing zinc ions is obtained. The power of the stirrer is adjustable.
[0083] The third step is the electrolysis link. The electrolyte containing zinc ions is introduced into the electrolytic cell, and then a current of several hundred or even thousands of amperes is passed through it. Through electrolysis, metallic zinc is reduced on the cathode plate. The electrolytic cell has a certain heat storage capacity, and short-term power regulation will not have a great impact on it. Therefore, the power of the electrolytic cell is also adjustable.
[0084] Frequent adjustment of the power of the crusher for the electrolytic zinc load will increase the wear of the equipment, thereby increasing some maintenance costs and shortening the normal service life of the equipment. These costs are recorded as the equipment penalty cost of the crusher. And when the electrolytic zinc load participates in the power grid peak shaving demand response, reducing the power of the crusher through power regulation can reduce energy consumption and electricity cost. This cost is recorded as the energy consumption cost.
[0085] As a preferred implementation method, the power regulation cost model of the crusher is expressed by the formula:
[0086] ;
[0087] In the formula, represents the power regulation cost of the crusher, represents the penalty cost coefficient of the crusher, represents the initial investment cost of the crusher, represents the energy consumption cost coefficient of the crusher, represents the power adjustment amount of the crusher when the electrolytic zinc load participates in the demand response, represents the time when the electrolytic zinc load participates in the demand response;
[0088] The constraint conditions include the power adjustment amount constraint of the crusher;
[0089] The power adjustment amount constraint of the crusher is expressed by the formula:
[0090] ;
[0091] In the formula, represents the maximum value of the power adjustment amount of the crusher when the electrolytic zinc load participates in demand response.
[0092] The reduction of the grinding efficiency of the ball mill will reduce the material output of the electrolytic zinc load in the batching process, resulting in a decrease in the final output of electrolytic zinc compared with the rated power, and a decrease in product revenue. This cost is recorded as the product revenue loss cost in the power regulation of the ball mill. And since reducing the power of the crusher by power adjustment can reduce energy consumption and electricity cost, this cost is recorded as the energy consumption cost in the power regulation cost of the ball mill.
[0093] As a preferred embodiment, the power regulation cost model of the ball mill is expressed by the formula:
[0094] ;
[0095] In the formula, represents the power regulation cost of the ball mill, represents the grinding efficiency of the ball mill, represents the product revenue of the electrolytic zinc load when the ball mill is at the rated power, represents the energy consumption cost coefficient of the ball mill, represents the power adjustment amount of the ball mill when the electrolytic zinc load participates in demand response, represents the time when the electrolytic zinc load participates in demand response;
[0096] Among them, the grinding efficiency of the ball mill and the power adjustment amount of the ball mill when the electrolytic zinc load participates in demand response are in a linear relationship. The acquisition method of the grinding efficiency of the ball mill is expressed by the formula:
[0097] ;
[0098] In the formula, represents a linear function;
[0099] Taking the grinding of quartzite and a filling rate of 30% as an example for the linear relationship, when the power is adjusted by 1 kW each time, the grinding efficiency is expected to change by 0.05 tons / hour. For example: when the power increases from 100 kW to 110 kW, the efficiency increases from 5 tons / hour to 5.5 tons / hour.
[0100] The constraint conditions include the power adjustment amount constraint of the ball mill;
[0101] The power adjustment amount constraint of the ball mill is expressed by the formula:
[0102] ;
[0103] In the formula, represents the maximum value of the power adjustment amount of the ball mill when the electrolytic zinc load participates in demand response.
[0104] When the electrolytic zinc load participates in peak shaving demand response, the power of the mixer needs to be reduced. The power adjustment of the mixer directly affects its mixing effect and efficiency. When the power of the mixer is reduced, the mixing speed of the mixer slows down, affecting the mixing uniformity of the raw materials for electrolytic zinc production. Insufficient power may lead to uneven mixing, affecting the electrolysis effect and product quality, thus causing a loss of part of the product revenue. Similarly, reducing the power will also reduce the energy consumption and the electricity cost.
[0105] As a preferred embodiment, the power regulation cost model of the mixer is expressed by the formula:
[0106] ;
[0107] In the formula, represents the power regulation cost of the mixer, represents the mixing uniformity cost coefficient of the mixer, represents the product revenue when the electrolytic zinc load is at the rated power of the mixer, represents the energy consumption cost coefficient of the mixer, represents the power adjustment amount of the mixer when the electrolytic zinc load participates in demand response, represents the time when the electrolytic zinc load participates in demand response;
[0108] The constraint conditions include the power adjustment amount constraint of the mixer;
[0109] The power adjustment amount constraint of the mixer is expressed by the formula:
[0110] ;
[0111] In the formula, represents the maximum value of the power adjustment amount of the mixer when the electrolytic zinc load participates in demand response.
[0112] The power consumption of the electrolytic cell accounts for a relatively large proportion in the production of the entire electrolytic zinc load. The high power of the electrolytic cell is mainly used to maintain a constant high temperature inside the electrolytic cell to ensure the smooth progress of the electrolytic reaction. When the electrolytic zinc load participates in peak shaving demand response, the power of the electrolytic cell needs to be reduced, resulting in a decrease in the temperature inside the electrolytic cell. The decrease in temperature will cause a large amount of crust formation at the furnace bottom, too long leg extension, and an irregular furnace chamber, thereby shortening the service life of the equipment. This kind of influence is recorded as the equipment penalty cost of the electrolytic cell. Moreover, as the core production equipment of the electrolytic zinc load, the decrease in the temperature inside the electrolytic cell caused by the power reduction will reduce the reaction rate of the electrolytic reaction inside the electrolytic cell, ultimately leading to a decrease in output and a decline in product revenue. The power regulation of the electrolytic cell will not only affect the service life of the equipment and product revenue, but the impact of energy consumption also needs to be regarded as one of the main parts of its power regulation cost. When the power of the electrolytic cell decreases, its energy consumption will also decrease, and the electricity cost will be reduced.
[0113] As a preferred embodiment, the power regulation cost model of the electrolytic cell is expressed by the formula:
[0114] ;
[0115] In the formula, represents the power regulation cost of the electrolytic cell, represents the penalty cost coefficient of the electrolytic cell, represents the initial investment cost of the electrolytic cell, represents the reaction rate cost coefficient of the electrolytic cell, represents the product revenue of the electrolytic zinc load when the electrolytic cell is at the rated power, represents the energy consumption cost coefficient of the electrolytic cell, represents the power regulation amount of the electrolytic cell when the electrolytic zinc load participates in the demand response, represents the time when the electrolytic zinc load participates in the demand response;
[0116] The constraint conditions include the power regulation amount constraint of the electrolytic cell;
[0117] The power regulation amount constraint of the electrolytic cell is expressed by the formula:
[0118] ;
[0119] In the formula, represents the maximum value of the power regulation amount of the electrolytic cell when the electrolytic zinc load participates in the demand response.
[0120] When demand response starts in a certain area, the power load management center will issue an invitation for demand response implementation through the APP. As the response entity, the electrolytic zinc load can declare its capacity according to its own adjustment ability and select the response time period. On the response day, the electrolytic zinc load independently implements demand response according to the agreed time and the declared response capacity. After the response ends, the power load management center will issue subsidies according to the actual response capacity of the electrolytic zinc load.
[0121] As a preferred implementation method, calculate the demand response declaration capacity of the electrolytic zinc load, and calculate the response capacity income of the electrolytic zinc load according to the demand response declaration capacity of the electrolytic zinc load. The specific steps are as follows:
[0122] Calculate the demand response declaration capacity of the electrolytic zinc load, which is expressed by the formula:
[0123] ;
[0124] In the formula, represents the demand response declaration capacity of the electrolytic zinc load, represents the power adjustment amount of the crusher when the electrolytic zinc load participates in demand response, represents the power adjustment amount of the ball mill when the electrolytic zinc load participates in demand response, represents the power adjustment amount of the mixer when the electrolytic zinc load participates in demand response, represents the power adjustment amount of the electrolytic cell when the electrolytic zinc load participates in demand response;
[0125] The response capacity income of the electrolytic zinc load is calculated according to the ratio of the actual response capacity of the electrolytic zinc load to the demand response declaration capacity of the electrolytic zinc load and is expressed by the formula:
[0126] ;
[0127] In the formula, represents the actual response capacity of the electrolytic zinc load;
[0128] The response capacity income of the electrolytic zinc load is calculated by the method, which is expressed by the formula:
[0129] ;
[0130] In the formula, represents the unit price of the load response capacity subsidy, represents the time when the electrolytic zinc load participates in demand response, represents the response speed coefficient;
[0131] If , then calculate according to the interval of .
[0132] As a preferred embodiment, a load expected net revenue optimization model aiming to maximize the net revenue of the load is constructed based on the power regulation cost and the response capacity revenue of the electrolytic zinc load. The load expected net revenue optimization model is expressed by the formula:
[0133] ;
[0134] ;
[0135] ;
[0136] In the formula, represents the maximum value function, represents the expected value of the load net revenue, represents the load net revenue, represents the preset probability, represents the index of the proportional interval segment, represents the index of the power regulation cost of the electrolytic zinc load production equipment, represents the crusher when it is 1, represents the ball mill when it is 2, represents the mixer when it is 3, represents the electrolytic cell when it is 4, represents the power regulation cost of the electrolytic zinc load production equipment, represents the power adjustment amount of the electrolytic zinc load production equipment when the electrolytic zinc load participates in the demand response, represents the proportional coefficient.
[0137] As a preferred embodiment, the load expected net revenue optimization model is solved by using the optimization solver in the mathematical calculation and simulation software Matlab.
[0138] Example 2:
[0139] This embodiment provides an electronic device with a computer program stored thereon. When the computer program is executed by a processor, it implements the method for declaring the capacity of the electrolytic zinc load participating in the demand response as described in any embodiment of the present invention.
[0140] Example 3:
[0141] This embodiment provides a computer-readable storage medium for storing one or more programs. When the one or more programs are executed by the one or more processors, the one or more processors are caused to implement the method for declaring the capacity of the electrolytic zinc load participating in the demand response as described in any embodiment of the present invention.
[0142] In the embodiments of the present application, "at least one" means one or more, and "a plurality" means two or more. "And / or" describes the association relationship of associated objects and indicates that three relationships can exist. For example, A and / or B can represent the situations of A existing alone, A and B existing simultaneously, and B existing alone. Here, A and B can be singular or plural. The character " / " generally represents an "or" relationship between the associated objects before and after. "At least one of the following" and its similar expressions refer to any combination of these items, including any combination of single items or plural items. For example, at least one of a, b, and c can represent: a, b, c, a and b, a and c, b and c, or a and b and c, where a, b, and c can be single or multiple.
[0143] Those of ordinary skill in the art can realize that the various units and algorithm steps described in the embodiments disclosed herein can be implemented by a combination of electronic hardware, computer software, and electronic hardware. Whether these functions are executed in a hardware or software manner depends on the specific application and design constraints of the technical solution. Professional technicians can use different methods for each specific application to implement the described functions, but such implementation should not be considered to exceed the scope of the present application.
[0144] Those skilled in the art can clearly understand that for the convenience and conciseness of description, the specific working processes of the systems, devices, and units described above can refer to the corresponding processes in the foregoing method embodiments and will not be elaborated herein.
[0145] In several embodiments provided by the present application, if any function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application, in essence, or the part that contributes to the prior art, or a part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present application. The foregoing storage medium includes: various media such as USB flash drives, mobile hard disks, read-only memories (hereinafter referred to as ROM), random access memories (hereinafter referred to as RAM), magnetic disks, or optical discs that can store program codes.
[0146] The above are only the embodiments of the present invention, and thus do not limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made by using the specification and drawings of the present invention, or directly or indirectly applied to other related technical fields, shall be equally included in the patent protection scope of the present invention.
Claims
1. A method for declaring capacity of electrolytic zinc load participating in demand response, characterized in that: The following steps are involved: Determine the electrolytic zinc load production equipment, including crushers, ball mills, mixers and electrolytic cells; Construct a power regulation cost model for electrolytic zinc load production equipment, formulate corresponding constraints, and output the power regulation cost of electrolytic zinc load production equipment based on the power regulation cost model of electrolytic zinc load production equipment; Calculate the demand response declared capacity of the electrolytic zinc load, and calculate the response capacity benefit of the electrolytic zinc load based on the demand response declared capacity of the electrolytic zinc load. The specific steps are: The demand response declaration capacity for electrolytic zinc load is calculated using the formula: ; In the formula, Demand response declaration capacity for electrolytic zinc load, It indicates the power adjustment of the crusher when the electrolytic zinc load participates in the demand response. It indicates the power adjustment of the ball mill when the electrolytic zinc load participates in demand response. It represents the power adjustment of the mixer when the electrolytic zinc load participates in the demand response. It indicates the power regulation of the electrolytic cell when the electrolytic zinc load participates in demand response; The response capacity benefit of the electrolytic zinc load is based on the ratio of the actual response capacity of the electrolytic zinc load to the demand response declared capacity of the electrolytic zinc load. The calculation is expressed as: ; In the formula, Indicates the actual response capacity of electrolytic zinc load; Response capacity gain of electrolytic zinc loading The calculation method is expressed as: ; In the formula, represents the unit price of load response capacity subsidy, Indicates the time when electrolytic zinc load participates in demand response, represents the response speed coefficient; Based on the power regulation cost and the response capacity benefit of the electrolytic zinc load, a load expected net benefit optimization model is constructed with the goal of maximizing the load net benefit, which is expressed as follows: ; ; ; In the formula, represents the maximum value function, represents the expected value of the load net benefit, represents the net benefit of load, represents the preset probability, Represents the scale interval segment index, Indicates the type index of electrolytic zinc load production equipment. represents the power regulation cost of electrolytic zinc load production equipment, It indicates the power adjustment amount of the electrolytic zinc load production equipment when the electrolytic zinc load participates in the demand response. represents the proportionality coefficient; Solve the load expected net benefit optimization model to obtain the declared capacity value of the electrolytic zinc load participating in demand response.
2. The method for declaring the capacity of electrolytic zinc load participating in demand response according to claim 1, characterized in that: The power regulation cost model of the crusher is expressed as follows: ; In the formula, represents the power regulation cost of the crusher, represents the penalty cost coefficient of the crusher, represents the initial investment cost of the crusher, represents the energy cost coefficient of the crusher, Indicates the time when electrolytic zinc load participates in demand response; The constraint conditions include the power adjustment amount constraint of the crusher; The power adjustment constraint of the crusher is expressed as follows: ; In the formula, It indicates the maximum power adjustment value of the crusher when the electrolytic zinc load participates in demand response.
3. The method for declaring the capacity of electrolytic zinc load participating in demand response according to claim 1, characterized in that: The power regulation cost model of the ball mill is expressed as follows: ; In the formula, represents the power regulation cost of the ball mill, Indicates the grinding efficiency of the ball mill, It represents the product yield of electrolytic zinc load when the ball mill is at rated power. represents the energy cost coefficient of the ball mill, Indicates the time when electrolytic zinc load participates in demand response; Among them, the grinding efficiency of the ball mill Power regulation of ball mill when electrolytic zinc load participates in demand response The grinding efficiency of the ball mill is linear. The acquisition method is expressed as: ; In the formula, represents a linear function; The constraint conditions include the power adjustment amount constraint of the ball mill; The power regulation constraint of the ball mill is expressed as follows: ; In the formula, It indicates the maximum power adjustment value of the ball mill when the electrolytic zinc load participates in demand response.
4. The method for declaring the capacity of electrolytic zinc load participating in demand response according to claim 1, characterized in that: The power regulation cost model of the mixer is expressed as follows: ; In the formula, represents the power regulation cost of the mixer, represents the mixing uniformity cost coefficient of the mixer, It represents the product yield of electrolytic zinc load when the mixer is at rated power. represents the energy cost coefficient of the mixer, Indicates the time when electrolytic zinc load participates in demand response; The constraint conditions include a power regulation constraint of the mixer; The power regulation constraint of the mixer is expressed as: ; In the formula, It indicates the maximum power adjustment value of the mixer when the electrolytic zinc load participates in demand response.
5. The method for declaring the capacity of electrolytic zinc load participating in demand response according to claim 1, characterized in that: The power regulation cost model of the electrolyzer is expressed as follows: ; In the formula, represents the power regulation cost of the electrolyzer, represents the penalty cost coefficient of the electrolyzer, represents the initial investment cost of the electrolyzer, represents the reaction rate cost coefficient of the electrolytic cell, It represents the product benefit of electrolytic zinc load when the electrolytic cell is at rated power. represents the energy cost coefficient of the electrolyzer, Indicates the time when electrolytic zinc load participates in demand response; The constraint conditions include a power regulation constraint of the electrolyzer; The power regulation constraint of the electrolyzer is expressed as: ; In the formula, It indicates the maximum power regulation value of the electrolytic cell when the electrolytic zinc load participates in demand response.
6. The method for declaring capacity of electrolytic zinc load participating in demand response according to claim 1, characterized in that: The load expected net benefit optimization model is solved by using the optimization solver in the mathematical calculation and simulation software MATLAB.
7. An electronic 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 program, the method for declaring capacity of electrolytic zinc load participating in demand response as described in any one of claims 1 to 6 is implemented.
8. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the method for declaring the capacity of electrolytic zinc load participating in demand response as described in any one of claims 1 to 6 is implemented.
Citation Information
Patent Citations
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