Method and system for establishing electrolytic copper industrial load participation demand response strategy considering process technological characteristics and production safety constraints
By analyzing the characteristics of the electrolytic copper process and the power characteristics of the production equipment, and in conjunction with production safety constraints, a demand response strategy for electrolytic copper industrial loads was designed. This strategy resolved the contradiction between the complexity of the electrolytic copper production process and the demand for response, thereby maximizing the benefits of grid demand response.
Patent Information
- Application Number
- CN202511226477.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-08-29
- Publication Date
- 2025-12-23
AI Technical Summary
The electrolytic copper production process is complex, with intricate coupling relationships between process steps, making it difficult to balance production order with response needs and maximize the benefits of electrolytic copper industrial load participation in grid demand response.
By analyzing the characteristics of the electrolytic copper load process and the power characteristics of the production equipment, we establish demand response trading rules and response electricity price scenarios, study the grid demand response trading rules, and design a strategy for the electrolytic copper industrial load to participate in demand response, including demand response reporting and control models, in combination with process characteristics and production safety constraints.
This approach maximizes the expected benefits of the electrolytic copper industry's load participation in grid demand response while maintaining production order, and provides feasible reporting and control strategies.
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Figure CN121189693A_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The application belongs to the technical field of electrolytic copper industry load participating in power grid demand side response strategy, and particularly relates to a method and system for establishing an electrolytic copper industry load participating in demand response strategy considering process characteristics and production safety constraints, especially to electrolytic copper process characteristics and production safety constraint analysis and demand side response transaction rule modeling, which provides a feasible reporting and control method for electrolytic copper industry load participating in power grid demand response. BACKGROUND
[0002] With the large-scale access of renewable energy, the demand for operational flexibility of the power system has significantly increased. The intermittent fluctuation characteristics of wind and solar power generation significantly increase the difficulty of regulating the frequency and voltage of the power grid, and the traditional peak shaving mode of thermal power generation is in urgent need of transformation and upgrading under the dual constraints of environmental protection requirements and economic benefits.
[0003] Under this background, the flexible regulation capacity of demand side resources in the industrial field has attracted high attention, and demand response technologies such as interruptible and adjustable load have become the forefront of current academic research. Yunnan province has rich new energy reserves and typical industrial load characteristics. The electrolytic copper production, as a representative of high-energy-consuming industrial processes, has special regulation value due to its complex energy consumption system composed of multiple process links. In order to promote high-energy-consuming industrial loads to actively participate in the interactive regulation of the power grid, some provinces have issued a series of transaction scheme details such as demand response, which involves the settlement mechanism for effective response and assessment. However, electrolytic copper and other multi-process flow participating in the demand response of the power grid face a series of difficulties, such as complex coupling relationship between process links, difficulty in balancing production order and response demand when participating in demand response, and difficulty in decision-making to maximize the demand response income. SUMMARY
[0004] The purpose of the present application is to solve the above problems, and to provide a method for establishing an electrolytic copper industry load participating in demand response strategy considering process characteristics and production safety constraints. The method considers the process characteristics and production safety constraints of electrolytic copper, studies the demand response transaction details and response price scenarios of the power grid, maximizes the expected income of electrolytic copper industry load participating in demand response of the power grid, and provides a feasible reporting and control strategy for electrolytic copper industry load participating in interactive control of the power grid.
[0005] According to one aspect of the present application, a method for establishing an electrolytic copper industry load participating in demand response strategy considering process characteristics and production safety constraints is provided, comprising:
[0006] Step 1, analyze the process flow characteristics and production equipment power characteristics of the electrolytic copper load;
[0007] Step two, analyze the demand response effective response and evaluation mechanism, establish the demand response response income settlement model, and propose the electrolytic copper industrial load participating demand response report and control model considering the process characteristics and production safety constraints.
[0008] Further, the electrolytic copper industrial load process flow includes the following process links: a material preparation link, a pyroprocessing copper link, an oxygen production link, an auxiliary smelting link, an electrolytic refining link, and an acid production link.
[0009] Further, in the electrolytic copper industrial load process flow, it includes:
[0010] The material preparation link includes material transportation, material crushing, and material stirring sub-links, which provide raw materials for the subsequent links. The production equipment for material transportation is a variable frequency motor, and the power consumption of the subsequent sub-links depends on the amount of material processed.
[0011] The main production equipment of the oxygen production link, the auxiliary smelting link, and the acid production link is an air compressor, a blower, and a negative pressure fan, respectively. There are inlet guide vanes in the structure of the production equipment, and the volume of the gas entering is realized by changing the angle of rotation of the inlet guide vanes to realize the power regulation of the process link.
[0012] The main production equipment of the electrolytic refining link is an electrolytic cell, and its power depends on the current size on the DC side. The control of the current can be realized by adjusting the saturation reactor pressure drop or the on-load voltage regulation tap changer.
[0013] The intermediate products of the pyroprocessing copper link, namely, matte and blister copper, are in liquid state and cannot be stored or interacted across production lines. The main production equipment is not electrical equipment. The pyroprocessing copper link includes side-blown smelting, top-blown converting, and anode furnace smelting links.
[0014] Further, the method further includes:
[0015] The material preparation link provides ore and solvent for the subsequent links. The oxygen production link provides oxygen for the pyroprocessing copper link. The auxiliary smelting link provides air for the pyroprocessing copper link. The side-blown smelting link consumes ore and solvent and provides matte for the top-blown converting. The top-blown converting link consumes matte and provides blister copper for the anode copper smelting link. The anode copper smelting consumes blister copper and provides anode copper for the electrolytic refining link. The pyroprocessing copper link consumes oxygen and air and provides sulfur dioxide for the acid production link. The electrolytic refining link consumes anode copper and produces product cathode copper.
[0016] Further, the method includes that for the production equipment with power regulation feasibility, the expression of the power regulation state is:
[0017]
[0018]
[0019]
[0020] wherein, , , is the power consumed by the ith equipment in process link k at time period t under scenario ω, power regulation state, equipment switching state; is the rated power of the ith equipment in process link k; is the quantity of material x under scenario ω, is the quantity of material x produced or consumed by the ith equipment in process link k at each time period t; K is the set of process links, n k is the number of equipment contained in process link k. The power regulation of adjustable production equipment and the related constraints of material quantity are expressed as:
[0021]
[0022]
[0023]
[0024] wherein , is the power regulation boundary of the ith production equipment in process link k, , is the quantity constraint of material x. , is the quantity of product material at the beginning and end of the production cycle under scenario ω, is the quantity constraint of product in the production cycle.
[0025] Further, the method further comprises, for the non-regulatable production links such as copper smelting, casting, etc., the expression of the power regulation state is:
[0026]
[0027] The heat balance relationship in the electrolytic cell is expressed as:
[0028]
[0029]
[0030]
[0031]
[0032] where W ER,i is the chemical energy required for the electrolysis process, Q ER,i is the heat lost during the reaction process, H ER,i is the thermal energy converted during the electrolysis process, is the thermal energy conversion efficiency of the i-th electrolyzer, is the temperature of the i-th electrolyzer at time t in scenario s, , is the temperature boundary within the electrolyzer, c ER,i is the specific heat capacity of the solution in the i-th electrolyzer, m ER,i is the mass of the solution in the i-th electrolyzer;
[0033] The relationship between the temperature of the electrolyzer solution and the amount of product cathode copper is expressed as:
[0034]
[0035] where, is the efficiency of the electrolyzer in producing cathode copper, which is affected by the temperature of the electrolyzer solution.
[0036] Further, the second step includes a settlement mechanism for the response fee and the evaluation fee of the industrial load participating in demand response, expressed as follows:
[0037]
[0038]
[0039]
[0040]
[0041]
[0042]
[0043]
[0044]
[0045]
[0046] wherein, is the energy consumption of the load in period H , is the actual response capacity and effective response capacity of the load in period H r under scenario ω, is the corresponding load baseline in period t r , is the corresponding winning response capacity in period H r , , is the over and under response capacity of the load in period H r under scenario ω, and α is the coefficient for determining the response evaluation deviation amount, , , are the corresponding response electricity price and over and under response evaluation electricity price in period H r under scenario ω, , is the corresponding response and evaluation fee in period H r under scenario ω, , is the over and under response evaluation proportion, t r , H r is the response period, and the time scale is 15 minutes and 1 hour.
[0047] Further, the step two includes effective response determination and reporting response capacity constraint, and the expression is as follows:
[0048]
[0049]
[0050]
[0051] wherein, , , , is the load maximum value and average value of the industrial load in the response period, and the load baseline maximum value and average value; is the lower limit of the winning capacity corresponding to the response period;
[0052] The final income and expected income of the industrial load participating in the demand response can be expressed as:
[0053]
[0054]
[0055]
[0056] in, For scenario ω, the load during time period H r Internal power regulation cost, Cost per unit power of the equipment;
[0057] In summary, the demand response strategy for electrolytic copper industry load participation, considering process characteristics and production safety constraints, can be expressed as follows:
[0058]
[0059] According to one aspect of the present invention, a system is provided for establishing an electrolytic copper industry load participation demand response strategy that considers process characteristics and production safety constraints, comprising:
[0060] The electrolytic copper load process flow analysis and power control module is used to analyze the characteristics of the electrolytic copper load process flow and the power characteristics of the production equipment.
[0061] The module for constructing a demand response reporting and control model for electrolytic copper industry load participation is used to analyze the effective response and assessment mechanism of demand response, establish a demand response benefit settlement model, and propose a demand response reporting and control model for electrolytic copper industry load participation considering process characteristics and production safety constraints.
[0062] According to one aspect of the present invention, an electronic device is provided, including a memory and a processor, the memory storing a computer program, the processor executing the computer program to implement the steps of the method for establishing an electrolytic copper industry load participation demand response strategy that takes into account process characteristics and production safety constraints.
[0063] Compared with the prior art, the beneficial effects of the present invention are:
[0064] This invention designs a demand response strategy for electrolytic copper industrial loads that considers process characteristics and production safety constraints. It studies the characteristics of process links and material interaction relationships, and considers process coupling and production safety constraints to establish a demand response transaction settlement mechanism model. This model can maximize the expected benefits of electrolytic copper loads participating in grid demand response while taking into account production order and response demand. Attached Figure Description
[0065] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.
[0066] Figure 1 This is a schematic diagram of the electrolytic copper load process provided by the present invention;
[0067] Figure 2 This is a schematic diagram of the electrolytic copper load process provided by the present invention;
[0068] Figure 3 A schematic diagram of the resource task network model for the electrolytic copper process considering process coupling provided by the present invention;
[0069] Figure 4 The graph shows the power variation of electrolytic copper load participating in demand response under different price scenarios, as provided by this invention. Detailed Implementation
[0070] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.
[0071] like Figure 1 As shown, this embodiment of the invention provides a method for establishing a demand response strategy for electrolytic copper industrial loads that consider process characteristics and production safety constraints. The method includes: Step 1, analyzing the process characteristics of electrolytic copper loads and the power characteristics of production equipment; Step 2, analyzing the effective response and assessment mechanism of demand response, establishing a demand response benefit settlement model, and proposing a demand response reporting and control model for electrolytic copper industrial loads that consider process characteristics and production safety constraints.
[0072] Specifically, this embodiment of the invention provides the following details for step one: analyzing the characteristics of the electrolytic copper load process flow and establishing a resource task network model for the electrolytic copper industrial load process flow. The electrolytic copper industrial load process flow includes the following steps: raw material preparation, pyrometallurgical copper smelting, oxygen production, auxiliary smelting, electrolytic refining, and acid production. The steps with power control feasibility are raw material preparation, oxygen production, auxiliary smelting, electrolytic refining, and acid production. The step with switching capability is electrolytic refining. Power control or switching is not possible in the pyrometallurgical copper smelting step. A schematic diagram of the process flow is shown below.Figure 2 As shown.
[0073] Specifically, in the electrolytic copper process, the raw material preparation stage provides ore and solvent for subsequent stages; the oxygen production stage provides oxygen for the pyrometallurgical copper smelting stage; the capacity enhancement stage provides air for the pyrometallurgical copper smelting stage; the side-blown smelting stage consumes ore and solvent to provide matte for the top-blown smelting stage; the top-blown smelting stage consumes matte to provide blister copper for the anode copper smelting stage; and the anode copper smelting stage consumes blister copper to provide anode copper for the electrolytic refining stage. The side-blown smelting, top-blown smelting, and anode furnace smelting stages are collectively referred to as the pyrometallurgical copper smelting stage. The pyrometallurgical copper smelting stage consumes oxygen and air to provide sulfur dioxide for the sulfuric acid production stage. The electrolytic refining stage consumes anode copper to produce cathode copper. In summary, the resource-task network model of the electrolytic copper process is as follows: Figure 3 As shown, MP, SBS, TBS, AFS, C, ER, PO, V, and PA represent, in order, the material preparation stage, side blowing stage, top blowing stage, anode furnace smelting stage, casting stage, electrolytic refining stage, oxygen production stage, auxiliary smelting stage, and acid production stage. ia R ib R ic R id R ie R pc R io R ca R is R ps The components are listed in the following order: raw materials, matte, crude copper, liquid anode copper, solid anode copper, cathode copper, oxygen, compressed air, sulfur-containing flue gas and sulfuric acid. The subscripts indicate the quantity of the corresponding production equipment. lim ,x int This indicates the type of material that interacts with both those that are not restricted by the production line.
[0074] For production equipment with power regulation feasibility, its power regulation status can be represented as follows:
[0075]
[0076]
[0077]
[0078] in, , , Let ω represent the power consumed by the i-th device in process k during time period t, the power control status, and the device switching status. The device switching status is a 0-1 variable, where 0 represents load shedding and 1 represents load activation. Let be the rated power of the i-th device in process step k. Let x be the quantity of material x under scenario ω. Let x be the quantity of material x produced or consumed by the i-th machine in process stage k during each time period t. K is the set of process stages, n. k Let k be the number of devices in process stage k. Based on the power control characteristics of the equipment, there are limits to the adjustable power control of production equipment in different process stages. In actual production, the quantity of materials is also constrained. If the quantity of materials exceeds a certain threshold during the production cycle, material storage and management costs will be incurred; if the quantity is too low, it will affect the normal production of subsequent stages. Furthermore, the quantity of product materials needs to meet certain requirements within each production cycle to satisfy production demands. In summary, the constraints related to adjustable production equipment power control and material quantity are expressed as follows:
[0079]
[0080]
[0081]
[0082] in, , For the power control boundary of production equipment i in process step k, , For material x quantity constraints; , The quantity of product materials at the beginning and end of the production cycle in this scenario. This is a constraint on the number of products produced within the production cycle.
[0083] It is worth noting that the above RTN model describes the changes in power control status of production equipment and the time scale of material production and consumption at 15 minutes. The interaction between materials and process links during production is considered a discrete process, occurring only at the beginning or end of a time period. For non-adjustable production processes such as pyrometallurgical copper smelting and casting, their power control status is as follows:
[0084]
[0085] The temperature of the electrolytic cell solution affects the cathode copper production efficiency, and the temperature constraint of the electrolytic cell solution also needs to be considered. The heat balance relationship within the electrolytic cell can be expressed as:
[0086]
[0087]
[0088]
[0089]
[0090] Among them, W ER,i Q is the chemical energy required for the electrolysis process. ER,i H represents the heat lost during the reaction. ER,i This is the heat energy converted during the electrolysis process. Let be the thermal energy conversion efficiency of the i-th electrolytic cell. Let be the temperature of the i-th electrolytic cell in time period t under the given scenario. , c represents the temperature boundary within the electrolytic cell. ER,i Let m be the specific heat capacity of the solution in the i-th electrolytic cell. ER,i Let be the mass of the solution in the i-th electrolytic cell.
[0091] Power control in the electrolytic refining process affects the temperature of the electrolytic cell solution. The electrolytic cell solution needs to be within a certain temperature range to ensure the normal production of the cathode copper product. The relationship between the electrolytic cell solution temperature and the quantity of cathode copper can be expressed as:
[0092]
[0093] in, The efficiency of producing cathode copper in an electrolytic cell is affected by the temperature of the electrolytic cell solution.
[0094] Specifically, this embodiment of the invention provides the following details for step two: analyzing the effective response and assessment mechanism of demand response, establishing a demand response revenue settlement model, and proposing a model for the participation of electrolytic copper industrial load in demand response reporting and control, considering process characteristics and production safety constraints. Generally, the settlement mechanism for the response costs and assessment costs of industrial load participating in demand response can be expressed as follows:
[0095]
[0096]
[0097]
[0098]
[0099]
[0100]
[0101]
[0102]
[0103]
[0104] in, Let ω represent the electrical energy consumed by the load during the time period. , For scenario ω, the load during time period H r Internal actual response capacity and effective response capacity, For time period t r The corresponding load baseline, For time period H r Corresponding to the winning bid response capacity, , For scenario ω, the load during time period H r The capacity for over- and under-response, where α is the coefficient for determining the deviation in response assessment. , , They represent time periods H under scenario ω. r The corresponding response electricity price, and the assessment electricity price for over- and under-response. , For scenario ω, time period H r Corresponding response and assessment fees, , To determine the ratio of over-response to under-response assessment, t r H r The response time period is defined as 15 minutes or 1 hour. Over-response refers to an actual response power exceeding the reported quantity, while under-response refers to an actual response power less than the reported quantity; both will be subject to performance penalties.
[0105] When loads participate in demand response, the response market has certain requirements for response effectiveness and response capacity reporting, such as effective response determination and reporting response capacity constraints, as specifically stated below:
[0106]
[0107]
[0108]
[0109] in, , , , The maximum and average load values during the response period, and the maximum and average load baseline values; The lower limit of the winning bid capacity corresponding to the response period; This indicates the load participation in the response report during the demand response period (Hr hours).
[0110] The final and expected benefits of industrial load participating in demand response can be expressed as:
[0111]
[0112]
[0113]
[0114] in, For scenario ω, the load during time period H r Internal power regulation cost, Cost per unit power of the equipment; This represents the total benefit of load participating in demand response under scenario w. , Let w represent the expected payoff in all scenarios (scenario set) and the probability corresponding to scenario w, respectively.
[0115] In summary, the demand response strategy for electrolytic copper industry load participation, considering process characteristics and production safety constraints, can be expressed as follows:
[0116]
[0117] In this context, formula (28) represents the reporting and control strategy, which means maximizing the expected revenue of the reporting under all scenarios. max means maximization, obj is the objective function of the optimization model, and st(1)-(27) are the constraints that need to be followed.
[0118] Specifically, this embodiment of the invention proposes specific scenario simulation cases to verify the effectiveness of the above-mentioned electrolytic copper industry load participation demand response strategy that takes into account process characteristics and production safety constraints. The specific scenarios and electrolytic copper load response parameters are shown in Table 1.
[0119] Table 1. Relevant data on power regulation of electrolytic copper production equipment.
[0120]
[0121] Production material R ia R io R ca ,,R is The storage limits are as follows: 1500, 4800, 1500, 60. The minimum quantity of all production materials is 0. The cathode copper product is transported for sale immediately after production, therefore its storage limit is not considered. The electrolytic copper production cycle is 24 hours. At the start of the production cycle, material R... ia With R io The quantities of the materials are 1000 and 2400 respectively, with the remaining materials having a quantity of 0. The product demand during the production cycle is 7530. The unit for the above materials is tons / m³. The temperature variation boundary within the electrolytic cell in the ER process is 35-40℃. Material consumption data are as follows:
[0122] Raw material preparation: Produce 530 units of ore and solvent.
[0123] Side-blown smelting process: consumes 500 units of ore and solvent, produces 155 units of copper matte, consumes 1090 units of oxygen, consumes 467 units of air, and produces 200 units of sulfur dioxide.
[0124] Top-blown smelting process: consumes 155 units of matte, produces 110 units of crude copper, consumes 345 units of oxygen, consumes 148 units of air, and produces 20 units of sulfur dioxide.
[0125] Anode furnace smelting process: consumes 110 units of crude copper, produces 109 units of anode copper, consumes 140 units of oxygen, consumes 60 units of air, and produces 10 units of sulfur dioxide.
[0126] Electrolytic refining process: 109 units of anode copper are consumed to produce 108 units of cathode copper.
[0127] Oxygen production stage: Produces 1600 units of oxygen.
[0128] Enhanced smelting: Produces 800 units of air.
[0129] Acid production process: Consumes 230 units of sulfur dioxide.
[0130] The response time period and response scenarios are shown in Table 2.
[0131] Table 2. Electrolytic copper load participation in demand response periods and response scenarios
[0132]
[0133] Based on the above consideration of process characteristics and production safety constraints, the electrolytic copper industry load participation demand response strategy yields the participation demand response volume and response benefits, as shown in Tables 3 and 4.
[0134] Table 3 Results of Electrolytic Copper Load Participation in Demand Response
[0135]
[0136] Table 4 Results of Electrolytic Copper Load Participation in Demand Response
[0137]
[0138] The effect of electrolytic copper load on response is as follows: Figure 4 As shown above, the electrolytic copper industrial load participation demand response strategy, which considers process characteristics and production safety constraints, can maximize the expected benefits of electrolytic copper industrial load participation in demand response based on the settlement mechanism of demand response trading rules, combined with the actual production characteristics and response price scenarios of industrial load. This provides a feasible reporting and control strategy for electrolytic copper industrial load participation in grid demand response.
[0139] The implementation of the various embodiments of the present invention is based on programmed processing through a device with processor functionality. Therefore, in practical engineering, the technical solutions and functions of the various embodiments of the present invention are encapsulated into various modules. Based on this reality, and building upon the above embodiments, the embodiments of the present invention provide a system for establishing a load-based demand response strategy for the electrolytic copper industry that considers process characteristics and production safety constraints. This system is used to execute a method from the above method embodiments for establishing a load-based demand response strategy for the electrolytic copper industry that considers process characteristics and production safety constraints.
[0140] The system includes: an electrolytic copper load process flow analysis and power regulation module, used to analyze the characteristics of the electrolytic copper load process flow and the power characteristics of the production equipment; and an electrolytic copper industrial load participation demand response reporting and control model construction module, used to analyze the effective response and assessment mechanism of demand response, establish a demand response benefit settlement model, and propose an electrolytic copper industrial load participation demand response reporting and control model that considers process characteristics and production safety constraints.
[0141] The system provided in this invention establishes a demand response strategy for electrolytic copper industrial loads that considers process characteristics and production safety constraints. Addressing the problems of complex coupling relationships between process stages, difficulty in balancing production order and response demand during demand response, and challenges in maximizing the benefits of demand response participation, the system employs several modules. Based on the demand response trading rules and settlement mechanism, and combined with the actual production characteristics and response price scenarios of the industrial load, it maximizes the expected benefits of electrolytic copper industrial loads participating in demand response, providing a feasible reporting and control strategy for electrolytic copper industrial loads to participate in grid demand response.
[0142] Based on the same inventive concept as the foregoing embodiments, this embodiment of the invention also provides an electronic device, including a memory and a processor. The memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions to realize a method for establishing an electrolytic copper industry load participation demand response strategy that takes into account process characteristics and production safety constraints, as proposed in the above embodiments.
[0143] Finally, it should be noted that the above specific embodiments are merely representative examples of the present invention. Obviously, the present invention is not limited to the above specific embodiments and many variations are possible. Any simple modifications, equivalent changes, and alterations made to the above specific embodiments based on the technical essence of the present invention should be considered within the protection scope of the present invention.
Claims
1. A method for establishing a demand response strategy for electrolytic copper industry load that considers process characteristics and production safety constraints, characterized in that, include: Step 1: Analyze the characteristics of the electrolytic copper load process and the power characteristics of the production equipment; Step 2: Analyze the effective response and assessment mechanism of demand response, establish a demand response benefit settlement model, and propose a demand response reporting and control model that considers process characteristics and production safety constraints in the electrolytic copper industry.
2. The method for establishing an electrolytic copper industry load participation demand response strategy considering process characteristics and production safety constraints, as described in claim 1, is characterized in that... The electrolytic copper industrial load process includes the following steps: material preparation, pyrometallurgical copper smelting, oxygen production, auxiliary smelting, electrolytic refining, and acid production.
3. The method for establishing an electrolytic copper industry load participation demand response strategy considering process characteristics and production safety constraints, as described in claim 2, is characterized in that... The electrolytic copper industrial load process includes: The material preparation process includes material transportation, material crushing, and material mixing sub-processes, which provide raw materials for subsequent processes. The production equipment for material transportation is a variable frequency motor, and the power consumption of subsequent processes depends on the amount of material being processed. The main production equipment for the oxygen production, auxiliary smelting, and acid production processes are air compressors, blowers, and negative pressure fans, respectively. The equipment structure includes inlet guide vanes, and the volume of gas introduced is adjusted by changing the rotation angle of the inlet guide vanes, thereby controlling the power of each process. The main production equipment in the electrolytic refining process is the electrolytic cell, whose power depends on the magnitude of the DC current. The current can be controlled by adjusting the voltage drop of the saturated reactor or the on-load tap changer. In the pyrometallurgical copper smelting process, the intermediate products matte and crude copper are in liquid form and cannot be stored or exchanged across production lines. The main production equipment is not electrical equipment. The pyrometallurgical copper smelting process includes side-blown smelting, top-blown smelting, and anode furnace smelting.
4. The method for establishing an electrolytic copper industry load participation demand response strategy considering process characteristics and production safety constraints, as described in claim 2, is characterized in that... The method further includes: The raw material preparation stage provides ore and solvent for subsequent stages; the oxygen production stage provides oxygen for the pyrometallurgical copper smelting stage; the intensified smelting stage provides air for the pyrometallurgical copper smelting stage; the side-blown smelting stage consumes ore and solvent to provide matte for the top-blown smelting stage; the top-blown smelting stage consumes matte to provide blister copper for the anode copper smelting stage; the anode copper smelting stage consumes blister copper to provide anode copper for the electrolytic refining stage; the pyrometallurgical copper smelting stage consumes oxygen and air to provide sulfur dioxide for the acid production stage; the electrolytic refining stage consumes anode copper to produce cathode copper.
5. The method for establishing an electrolytic copper industry load participation demand response strategy considering process characteristics and production safety constraints, as described in claim 2, is characterized in that... The method includes, for production equipment with power regulation feasibility, an expression for the power regulation state as follows: , , , in, , , Let ω represent the power consumed by the i-th device in process k during time period t, the power control status, and the device switching status. Let be the rated power of the i-th device in process step k; Let x be the quantity of material x under scenario ω. Let K be the quantity of material x produced or consumed by the i-th equipment in process step k during each time period t; K is the set of process steps, n k Let k be the number of devices in process stage k. The constraints related to adjustable production equipment power control and material quantity are expressed as follows: , , , in , For the power control boundary of production equipment i in process step k, , The quantity constraint is for material x. , The quantity of product materials at the beginning and end of the production cycle in this scenario. This is a constraint on the number of products produced within the production cycle.
6. The method for establishing an electrolytic copper industry load participation demand response strategy considering process characteristics and production safety constraints, as described in claim 2, is characterized in that... The method also includes an expression for the power regulation state of uncontrollable production processes such as pyrometallurgical copper smelting and casting, as follows: , The heat balance relationship within the electrolytic cell is expressed as: , , , , Among them W ER,i Q is the chemical energy required for the electrolysis process. ER,i H represents the heat lost during the reaction. ER,i This is the heat energy converted during the electrolysis process. Let be the thermal energy conversion efficiency of the i-th electrolytic cell. Let be the temperature of the i-th electrolytic cell in time period t under the given scenario. , c represents the temperature boundary within the electrolytic cell. ER,i Let m be the specific heat capacity of the solution in the i-th electrolytic cell. ER,i Let the mass of the solution in the i-th electrolytic cell be denoted as . The relationship between the electrolytic cell solution temperature and the amount of cathode copper in the product is expressed as follows: , in, The efficiency of producing cathode copper in an electrolytic cell is affected by the temperature of the electrolytic cell solution.
7. The method for establishing a demand response strategy for electrolytic copper industry load considering process characteristics and production safety constraints, as described in claim 1, is characterized in that... Step two includes a settlement mechanism for the response costs and assessment costs of industrial loads participating in demand response, expressed as follows: , , , , , , , , , in, Let ω represent the electrical energy consumed by the load during the time period. , For scenario ω, the load during time period H r Internal actual response capacity and effective response capacity, For time period t r The corresponding load baseline, For time period H r Corresponding to the winning bid response capacity, , For scenario ω, the load during time period H r The capacity for over- and under-response, where α is the coefficient for determining the deviation in response assessment. , , They represent time periods H under scenario ω. r The corresponding response electricity price, and the assessment electricity price for over- and under-response. , For scenario ω, time period H r Corresponding response and assessment fees, , To determine the proportion of over- and under-response assessments, t r H r The response time period is 15 minutes and 1 hour.
8. The method for establishing an electrolytic copper industry load participation demand response strategy considering process characteristics and production safety constraints, as described in claim 1, is characterized in that... Step two includes valid response determination and reporting response capacity constraints, expressed as: , , , in, , , , The maximum and average load values during the response period, and the maximum and average load baseline values; The lower limit of the winning bid capacity corresponding to the response period; The expressions for the final and expected benefits of industrial load participating in demand response are as follows: , , , in, For scenario ω, the load during time period H r Internal power regulation cost, Cost per unit power of the equipment; The expression for the demand response strategy of electrolytic copper industry load participation, considering process characteristics and production safety constraints, is as follows: , In this context, formula (28) represents the reporting and control strategy, which means maximizing the expected revenue of the reporting under all scenarios. max means maximization, obj is the objective function of the optimization model, and st(1)-(27) are the constraints that need to be followed.
9. A system for establishing a load-based demand response strategy for the electrolytic copper industry that considers process characteristics and production safety constraints, characterized in that: include: The electrolytic copper load process flow analysis and power control module is used to analyze the characteristics of the electrolytic copper load process flow and the power characteristics of the production equipment. The module for constructing a demand response reporting and control model for electrolytic copper industry load participation is used to analyze the effective response and assessment mechanism of demand response, establish a demand response benefit settlement model, and propose a demand response reporting and control model for electrolytic copper industry load participation considering process characteristics and production safety constraints.
10. An electronic device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method described in any one of claims 1 to 8 for establishing an electrolytic copper industry load participation demand response strategy that takes into account process characteristics and production safety constraints.