Cement enterprise load regulation capability prediction method and device and storage medium

Abstract

The invention relates to a cement enterprise load regulation capability prediction method and device and a storage medium, and is applied to the technical field of cement enterprise load optimization, and the method comprises the steps: obtaining a total income according to the income and expenditure of a cement enterprise participating in power grid load regulation in a preset time period, and building a target function with the maximization of the total income as a target, establishing a constraint condition according to the condition that the power consumption of each electric device and the capacity of each stock meet a preset target, and solving the target function under the condition that the constraint condition is met, so as to obtain the power load of the cement enterprise production line in a preset time period and the power consumption of each electric device; and a corresponding production plan is compiled based on the power utilization load and the power utilization power of each power utilization device, so that the purposes of reducing the production cost of an enterprise and optimizing the production power utilization load of the enterprise are achieved, and the blank of load regulation analysis of the cement industry in the prior art is filled.

Description

Technical Field

[0001] The present invention relates to the technical field of cement enterprise load optimization, and in particular to a method, device and storage medium for predicting the load regulation capacity of a cement enterprise. Background Art

[0002] Cement production not only requires a lot of physical and chemical processing, but also involves huge energy consumption, especially electricity and heat. With the growth of the economy, the scale of the cement industry continues to expand and the demand for electricity is also increasing, which makes cement companies play an increasingly important role in the electricity market.

[0003] In the modern electricity market, spot prices fluctuate frequently, which puts higher demands on the balance of electricity supply and demand. Cement companies have the potential to participate in the peak load regulation of the electricity market due to the energy consumption characteristics of their production process. By flexibly adjusting production loads, cement companies can not only respond to changes in market spot prices, but also participate in the peak load regulation service of the power grid, thereby contributing to the stable operation of the power grid.

[0004] However, there is currently little research and technology on load regulation analysis in the cement industry, and related companies often lack effective tools and methods to accurately predict and optimize their own load regulation capabilities. Summary of the invention

[0005] In view of this, the purpose of the present invention is to provide a method, device and storage medium for predicting the load regulation capacity of a cement enterprise, so as to solve the problem that in the prior art, there are few researches and technologies for load regulation analysis in the cement industry, and related enterprises often lack effective tools and methods to accurately predict and optimize their own load regulation capabilities.

[0006] According to a first aspect of an embodiment of the present invention, a method for predicting load regulation capacity of a cement enterprise is provided, the method comprising:

[0007] Obtaining spot electricity sales revenue of the cement enterprise in the preset time period according to the spot electricity sold and spot electricity purchased by the cement enterprise in the preset time period;

[0008] Obtaining effective demand response call income of the cement enterprise in the preset time period according to the actual response capacity of the cement enterprise in the preset time period and the demand response clearing price;

[0009] Obtaining the assessment fee of the ineffective response capacity of the virtual power plant of the cement enterprise in the preset time period according to the winning response capacity of the cement enterprise in the preset time period and the predicted price of demand response;

[0010] Obtaining the demand response apportionment costs of the cement enterprise within a preset time period;

[0011] Obtaining the total revenue of the cement enterprise within the preset time period according to the spot electricity sales revenue, effective demand response call revenue, assessment costs of the ineffective response capacity of the virtual power plant, and demand response apportionment costs of the cement enterprise within the preset time period;

[0012] Establishing an objective function with the goal of maximizing the total revenue of the cement enterprise within a preset time period;

[0013] The constraint conditions of the objective function are established based on the power consumption of each electrical equipment on the production line of the cement enterprise and the inventory capacity of each cement enterprise meeting the preset target;

[0014] Under the condition that the constraint conditions are met, the objective function is solved to obtain the power load of the cement enterprise production line in a preset time period and the power consumption of each power-consuming device.

[0015] Preferably,

[0016] The constraint conditions for establishing the objective function based on the power consumption of each electrical equipment on the production line of the cement enterprise and the inventory capacity of each cement enterprise meeting the preset target include:

[0017] The power balance constraint is established by satisfying the total power generated by the cement enterprise in the preset time period with the power consumption of each power-consuming equipment in the production process of the cement enterprise in the preset time period;

[0018] A raw material balance constraint is established based on the raw material inventory of the cement enterprise within a preset time period meeting the raw material warehouse capacity;

[0019] Establishing a clinker balance constraint by using the inventory clinker of the cement enterprise within a preset time period to meet the clinker storage capacity;

[0020] Establishing a finished cement balance constraint based on the finished cement inventory of the cement enterprise within a preset time period meeting the finished cement warehouse capacity;

[0021] Establish a system balance constraint based on the difference between the total annual on-grid electricity of the cement enterprise and the electricity completed in the previous year and not exceeding the total annual net on-grid electricity;

[0022] A cement delivery balance constraint is established based on the cement finished product delivery volume of the cement enterprise within a preset time period meeting the daily delivery execution volume of the cement contract.

[0023] Preferably,

[0024] The power balance constraints include: total power balance constraints, power trading constraints, actual response capacity constraints, crusher power constraints, blower power constraints, raw mill power constraints, coal mill power constraints, cement mill power constraints and minimum start and stop time constraints for each power-consuming equipment;

[0025] The total power balance constraint includes: obtaining the sum of the power consumption of each power-consuming device within a preset time period; obtaining the power generation power of the photovoltaic unit, the power generation power of the waste heat power generation unit, the power generation power of the wind turbine unit and the power difference between the upper and lower grids of the cement enterprise within the preset time period;

[0026] Obtaining the total power generated by the cement enterprise within the preset time period according to the power generation power of the photovoltaic unit, the power generation power of the waste heat power generation unit, the power generation power of the wind turbine unit, and the power difference between the upper and lower grids of the cement enterprise within the preset time period;

[0027] The total power balance constraint is established by taking the sum of the power consumption of each power-consuming device in a preset time period as equal to the total power generated by the cement enterprise in the preset time period;

[0028] The power transaction constraints include: obtaining the decomposed power of the cement enterprise under the signed medium- and long-term contracts within a preset time period; obtaining spot power according to the spot purchase of power and spot sale of power by the cement enterprise within the preset time period;

[0029] The power transaction constraint is established by taking the difference between the on-grid and off-grid power of the cement enterprise in a preset time period as equal to the difference between the spot power of the cement enterprise in the preset time period and the decomposed power of the signed medium- and long-term contracts;

[0030] The actual response capacity constraint includes: obtaining the baseline load of the cement enterprise in a preset time period, and establishing the actual response capacity constraint by taking the difference between the baseline load of the cement enterprise in the preset time period and the spot power purchased by the cement enterprise in the preset time period as equal to the actual response capacity of the cement enterprise in the preset time period;

[0031] The crusher power constraint comprises: establishing the crusher power constraint based on the crusher power in a preset time period meeting the crusher minimum and maximum power requirements;

[0032] The blower power constraint includes: establishing the blower power constraint based on the blower power in a preset time period meeting the blower minimum and maximum power requirements;

[0033] The raw mill power constraint comprises: establishing the raw mill power constraint based on the power of the raw mill in a preset time period meeting the minimum and maximum power requirements of the raw mill;

[0034] The coal mill power constraint includes: establishing the coal mill power constraint based on the power of the coal mill in a preset time period meeting the minimum and maximum power requirements of the coal mill;

[0035] The cement mill power constraint comprises: establishing the cement mill power constraint based on the power of the cement mill in a preset time period meeting the minimum and maximum power requirements of the cement mill;

[0036] The minimum start and stop time constraints of each electrical device include: establishing the minimum start and stop time constraints of each electrical device based on the start and stop status of each electrical device within a period of time before a preset time point satisfying a preset minimum start time or a preset minimum stop time.

[0037] Preferably,

[0038] The raw material balance constraints include: raw material inventory balance constraints and raw material warehouse capacity upper and lower limit constraints;

[0039] The raw material inventory balance constraint includes: obtaining the raw material output within a preset time period according to the crushing rate of the crusher within the preset time period and the cooling rate of the blower within the preset time period;

[0040] Acquire the inventory of the raw material warehouse before the preset time period, and establish the raw material inventory balance constraint by taking the sum of the inventory of the raw material warehouse before the preset time period and the raw material output within the preset time period as equal to the inventory of the raw material warehouse within the preset time period;

[0041] The upper and lower limit constraints of the raw material capacity include: establishing the upper and lower limit constraints of the raw material warehouse capacity based on the inventory of the raw material warehouse within the preset time period satisfying the minimum and maximum capacities of the raw material warehouse.

[0042] Preferably,

[0043] The clinker balance constraints include: clinker inventory balance constraints and clinker storage capacity upper and lower limit constraints;

[0044] The clinker inventory balance constraint includes: obtaining the clinker output within a preset time period according to the cooling rate of the blower within a preset time period and the grinding rate of the cement mill within a preset time period;

[0045] Obtain the inventory of the clinker warehouse before the preset time period, and obtain the outbound volume of the clinker warehouse during the preset time period;

[0046] The clinker inventory balance constraint is established by subtracting the outflow of the clinker warehouse in the preset time period from the sum of the inventory of the clinker warehouse before the preset time period and the clinker output in the preset time period to equal the inventory of the clinker warehouse in the preset time period;

[0047] The upper and lower limit constraints of the clinker storage capacity include: establishing the upper and lower limit constraints of the clinker storage capacity based on the inventory of the clinker storage within the preset time period satisfying the minimum and maximum capacities of the clinker storage.

[0048] Preferably,

[0049] The finished cement product balance constraint includes: finished cement product inventory balance constraint and finished cement product warehouse capacity upper and lower limit constraints;

[0050] The finished cement inventory balance constraint includes: obtaining the output of finished cement within a preset time period according to the grinding rate of the cement mill within a preset time period;

[0051] Obtain the inventory of cement finished product warehouse before the preset time period, and obtain the cement finished product outbound quantity during the preset time period;

[0052] The finished cement inventory balance constraint is established by subtracting the output of finished cement products in the preset time period from the sum of the inventory of the finished cement product warehouse before the preset time period and the output of finished cement products in the preset time period to equal the inventory of the finished cement product warehouse in the preset time period;

[0053] The upper and lower limit constraints on the capacity of the finished cement product warehouse include: establishing the upper and lower limit constraints on the capacity of the finished cement product warehouse based on the inventory of the finished cement product warehouse within the preset time period satisfying the minimum and maximum capacities of the finished cement product warehouse.

[0054] Preferably,

[0055] The method of obtaining the spot electricity sales income of the cement enterprise in the preset time period according to the spot electricity sold and the spot electricity purchased by the cement enterprise in the preset time period includes:

[0056] Obtaining the spot electricity sold by the cement enterprise in a preset time period, and obtaining the spot selling price in the preset time period; obtaining the total spot electricity sales revenue of the cement enterprise in the preset time period according to the spot electricity sold and the spot selling price;

[0057] Obtaining the spot electricity purchased by the cement enterprise in a preset time period, and obtaining the demand response declared price in the preset time period; obtaining the total spot electricity purchase expenditure of the cement enterprise in the preset time period according to the spot electricity purchased and the demand response declared price;

[0058] The spot electricity sales revenue of the cement enterprise in the preset time period is obtained according to the difference between the total spot electricity sales revenue and the total spot electricity purchase expenditure of the cement enterprise in the preset time period.

[0059] Preferably,

[0060] The obtaining of the demand response apportionment cost of the cement enterprise within a preset time period includes:

[0061] Obtaining the total revenue of all demand response events within a preset time period, obtaining the electricity input price in the spot market within the preset time period, and obtaining the comprehensive price of all electricity within the preset time period;

[0062] The demand response apportionment cost of the cement enterprise within the preset time period is obtained based on the ratio of the product of the total revenue of all demand response events within the preset time period and the electricity input price in the spot market to the comprehensive price of all electricity within the preset time period.

[0063] According to a second aspect of an embodiment of the present invention, a device for predicting load regulation capacity of a cement enterprise is provided, the device comprising:

[0064] The electricity sales revenue acquisition module is used to acquire the spot electricity sales revenue of the cement enterprise in the preset time period according to the spot electricity sold and spot electricity purchased by the cement enterprise in the preset time period;

[0065] A call revenue acquisition module: used to acquire the effective demand response call revenue of the cement enterprise in the preset time period according to the actual response capacity of the cement enterprise in the preset time period and the demand response clearing price;

[0066] Assessment expenditure acquisition module: used to obtain the assessment expenses of the ineffective response capacity of the virtual power plant of the cement enterprise in the preset time period according to the winning response capacity of the cement enterprise in the preset time period and the predicted price of demand response;

[0067] A shared expenditure acquisition module: used to obtain the demand response shared expenses of the cement enterprise within a preset time period;

[0068] Total revenue acquisition module: used to obtain the total revenue of the cement enterprise within a preset time period according to the spot electricity sales revenue, effective demand response call revenue, assessment fee of the ineffective response capacity of the virtual power plant and demand response apportionment fee of the cement enterprise within a preset time period;

[0069] Objective function building module: used to establish an objective function with the goal of maximizing the total revenue of the cement enterprise within a preset time period;

[0070] Constraint condition building module: used to establish the constraint condition of the objective function based on the power consumption of each electrical equipment on the production line of the cement enterprise and the inventory capacity of each cement enterprise meeting the preset target;

[0071] Solving module: used to solve the objective function while satisfying the constraint conditions, and obtain the power load of the cement enterprise production line and the power consumption of each power-consuming equipment in a preset time period.

[0072] According to a third aspect of an embodiment of the present invention, there is provided a storage medium, wherein the storage medium stores a computer program, and when the computer program is executed by a main controller, each step in the above method is implemented.

[0073] The technical solution provided by the embodiments of the present invention may have the following beneficial effects:

[0074] This application identifies the power-consuming power equipment in the raw material preparation and grinding process as the key adjustable load point through an in-depth analysis of the production process of cement enterprises; then, the total revenue is obtained according to the revenue and expenditure of the cement enterprise in participating in the load regulation of the power grid in a preset time period, and an objective function is established with the goal of maximizing the total revenue; then, constraints are established based on the power consumption of each power-consuming equipment and the capacity of each inventory to meet the preset goals, and the objective function is solved under the condition of satisfying the constraints, thereby obtaining the power load of the cement enterprise's production line in the preset time period and the power consumption of each power-consuming equipment; based on the power load and the power consumption of each power-consuming equipment, a corresponding production plan is compiled to achieve the goal of reducing the production cost of the enterprise and optimizing the production power load of the enterprise, thereby filling the gap in the existing technology for load regulation analysis in the cement industry.

[0075] It is to be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0076] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and, together with the description, serve to explain the principles of the invention.

[0077] Figure 1 is a flow chart showing a method for predicting load regulation capacity of a cement enterprise according to an exemplary embodiment;

[0078] Figure 2 is a system schematic diagram of a cement enterprise load regulation capacity prediction device according to another exemplary embodiment;

[0079] In the attached figure: 1-power sales revenue acquisition module, 2-calling revenue acquisition module, 3-assessment expenditure acquisition module, 4-allocated expenditure acquisition module, 5-total revenue acquisition module, 6-objective function construction module, 7-constraint condition construction module, 8-solution module. DETAILED DESCRIPTION

[0080] Exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present invention. Instead, they are merely examples of devices and methods consistent with some aspects of the present invention as detailed in the appended claims.

[0081] Embodiment 1

[0082] Figure 1is a flow chart of a method for predicting load regulation capacity of a cement enterprise according to an exemplary embodiment. Figure 1 As shown, the method includes:

[0083] S1, obtaining the spot electricity sales income of the cement enterprise in the preset time period according to the spot electricity sold and the spot electricity purchased by the cement enterprise in the preset time period;

[0084] S2, obtaining the effective demand response call income of the cement enterprise in the preset time period according to the actual response capacity of the cement enterprise in the preset time period and the demand response clearing price;

[0085] S3, obtaining the assessment fee of the ineffective response capacity of the virtual power plant of the cement enterprise in the preset time period according to the winning response capacity of the cement enterprise in the preset time period and the predicted price of demand response;

[0086] S4, obtaining the demand response apportionment cost of the cement enterprise within a preset time period;

[0087] S5, obtaining the total revenue of the cement enterprise in the preset time period according to the spot electricity sales revenue, effective demand response call revenue, assessment fee of the ineffective response capacity of the virtual power plant, and demand response apportionment fee of the cement enterprise in the preset time period;

[0088] S6, establishing an objective function with the goal of maximizing the total revenue of the cement enterprise within a preset time period;

[0089] S7, establishing the constraint condition of the objective function based on the power consumption of each electrical equipment on the production line of the cement enterprise and the inventory capacity of each cement enterprise meeting the preset target;

[0090] S8, solving the objective function under the condition that the constraint conditions are met, and obtaining the power load of the cement enterprise production line and the power consumption of each power-consuming device in a preset time period;

[0091] It is understandable that, in order to better understand this embodiment, this embodiment makes the following description of the cement production process:

[0092] The new dry process cement production technology is a modern cement production method with high efficiency, high quality, high technology, energy saving and environmental protection. Cement production can be summarized as "two grindings and one burning". "Two grindings" refers to the grinding of raw materials and cement, and "one burning" refers to the calcination of clinker. Specifically:

[0093] (1) Raw material crushing and pre-homogenization: crushing raw materials (such as limestone, clay, etc.) into a particle size suitable for further processing and homogenizing the raw material composition;

[0094] (2) Raw material grinding: The raw materials that have been initially crushed and dried are mixed in precise proportions and then carefully ground to ensure that the resulting raw material has a consistent texture and appropriate chemical composition;

[0095] (3) Raw material homogenization: The ground raw materials are evenly mixed in a certain proportion through a homogenization tank to ensure the consistency of the chemical composition and performance of the final cement;

[0096] (4) Preheating and decomposition: The raw material powder is fed into the preheater, which heats the raw material through the hot air flow generated by the combustion device. The raw material gradually heats up during the flow process. In the preheater, the limestone begins to decompose and is partially converted into calcium oxide, while producing carbon dioxide. In addition, the moisture in other raw materials is also evaporated;

[0097] (5) Calcination of cement clinker: The preheated raw meal is fed into a rotary kiln for high-temperature sintering, which converts the raw meal into cement clinker, the main components of which include minerals such as calcium silicate;

[0098] (6) Cement grinding: The burnt clinker is mixed with an appropriate amount of mixed materials and gypsum, and ground together to the required fineness to finally produce cement products.

[0099] The key electrical equipment involved in the above production process is described as follows:

[0100] Crusher: First, raw materials are crushed, limestone and clay blocks are broken into small particles, and then they are fed to raw mill for further grinding; second, raw coal is crushed, larger coal blocks are broken into small-sized coal blocks, and then they are fed to coal mill for further grinding; third, gypsum and mixed materials are crushed, gypsum and mixed materials are broken into small particles, which are convenient for full mixing with clinker.

[0101] Blower: First, it is used to provide necessary air to the rotary kiln and preheater to support the combustion process of the fuel; second, during the cooling process of cement clinker, the blower is used to provide cooling air to help quickly reduce the temperature of the clinker and maintain its chemical composition and physical properties.

[0102] Raw mill: used to grind small particles of raw materials (such as limestone, clay, iron ore, etc.) into fine powder to ensure that different raw materials are fully mixed.

[0103] Coal mill: Coal mill grinds small pieces of raw coal into fine powder, making the coal burn more thoroughly, improving combustion efficiency and reducing fuel consumption.

[0104] Cement mill: After mixing clinker, gypsum and mixed materials in a certain proportion, they are finely ground into fine powder to make the final cement product.

[0105] In order to implement the above solution, the data that needs to be obtained include: information on each device on the cement process line, information related to power market demand response, enterprise production energy consumption information, and enterprise storage capacity information; specifically, equipment information includes parameters and maintenance plans of each equipment. Equipment parameters include equipment rated power, upper and lower limits of power adjustment, and maintenance plans are obtained from the enterprise production plan. When the equipment is not involved in production, its power is 0. Information related to power market demand response includes demand response time period, demand response declared price, demand response clearing price, etc. Enterprise energy consumption information includes enterprise baseline load, weekly rated total power consumption, etc. Enterprise storage capacity information includes the purchase volume, shipment volume, maximum quantity of raw materials and finished product storage warehouses, etc.

[0106] After obtaining the required data, the solution of this application can be executed. The specific steps are as follows:

[0107] In the spot market, when electricity prices are high, companies can reduce the purchase of electricity or sell the electricity generated by their own photovoltaic units, wind turbines and waste heat generators to obtain benefits. When electricity prices are low, companies can increase the purchase of electricity for use during peak hours, thereby reducing costs. In addition, by participating in demand response programs, cement companies can reduce electricity consumption during peak grid demand or increase consumption during low demand periods. This adjustment can help the grid balance supply and demand, and companies can therefore receive compensation or rewards. If a company fails to achieve the promised reduction or increase in electricity in a demand response event, it may face assessment fees, and in some markets, the total cost of demand response will be shared among all participants, and cement companies will also need to bear this part of the cost. By considering the above related benefits and costs, the benefit maximization objective function should be:

[0108]

[0109] In the formula, is the spot electricity sales revenue in period t (negative for electricity purchase), is the effective demand response call revenue in period t (period t is the above-mentioned preset time period), is the assessment cost of the ineffective response capacity of the virtual power plant in period t, The cost of demand response is allocated for this month, and M is the total number of optimized months;

[0110] In the objective function,

[0111]

[0112] In the formula, is the spot electricity sold during period t, Forecast the spot price for period t, The spot purchase of electricity for time period t, Declare a price for demand response for time period t;

[0113] In the objective function,

[0114]

[0115] In the formula, The demand response clearing price in period t, is the actual response capacity, is the linearization coefficient;

[0116] In the objective function,

[0117]

[0118] In the formula, To bid for the response capacity, Demand response forecast price for time period t, M DR To optimize the total number of months, R1 is the penalty factor;

[0119] In the objective function,

[0120]

[0121] In the formula, is the total revenue of all demand response events, is the input price in the spot market, is the composite price for all electricity;

[0122] After establishing the objective function, the constraints of the objective function are established. The constraints include:

[0123] (1) Power balance constraints;

[0124] a, Total power balance constraint:

[0125]

[0126] In the formula, is the crushing power of crusher i in time period t, is the blowing power of blower j in time period t, is the grinding power of raw mill k in time period t, is the coal grinding power of coal mill m in time period t, is the grinding power of cement mill n in time period t, is the predicted power of PV unit p in time period t, is the output power of waste heat generator set h in time period t, is the predicted power of wind turbine w in time period t, is the grid-connected electricity in period t, The grid-connected power in time period t.

[0127] b. Power trading constraints:

[0128]

[0129] In the formula, Decompose the electricity under the medium and long-term contracts for period t.

[0130] c. Actual response capability constraints:

[0131]

[0132] In the formula, is the baseline load.

[0133] d. Crusher power constraints:

[0134]

[0135] In the formula, is the startup status of crusher i in time period t, which is a variable of 0 or 1.

[0136] e. Blower power constraint:

[0137]

[0138] In the formula, is the start-up status of blower j in time period t, which is a variable of 0 or 1.

[0139] f, raw mill power constraint:

[0140]

[0141] In the formula, The startup status of raw mill k in time period t, which is a variable of 0 or 1.

[0142] g, coal mill power constraint:

[0143]

[0144] In the formula, It is the startup status of coal mill m in time period t, which is a variable of 0 or 1.

[0145] h, cement mill power constraint:

[0146]

[0147] In the formula, It is the startup status of cement mill n in time period t, which is a variable of 0 or 1.

[0148] i. Minimum start and stop time constraints for each electrical equipment:

[0149] In order to ensure that the equipment does not start and stop frequently within the specified minimum start and stop time, thereby protecting the equipment and improving operating efficiency, it is necessary to constrain the start and stop time of the equipment; if the equipment is in the start state at time point t-1 and is in the stop state at time point t, then the continuous start time of the equipment before time point t Must be greater than or equal to the minimum boot time If the device is powered on at time t and powered off at time t-1, then the continuous downtime of the device before time t is Must be greater than or equal to the minimum downtime

[0150] Introducing state variables If the device is powered on at time point t, the value is 1, otherwise it is 0. The specific constraints are expressed as:

[0151]

[0152] for The calculation is from the time point The sum of the state variables at all time points between t and t-1. If the device is always powered on during this period (i.e. ), then this sum is the length of the time interval, that is, If the equipment is down during this time, the sum will be less than

[0153] for The calculation is from the time point The sum of the state variables at all time points between t and t-1. If the device is always in shutdown state during this period (i.e. ), then this sum is also the length of the time interval, that is, If the device is powered on during this time, the sum will be less than

[0154] Assumptions It is equal to 5 time units. The device is powered on from time t-5 to t-1. Then:

[0155]

[0156] This means that before time point t, the device has been powered on for 5 consecutive time units, meeting the minimum power-on time;

[0157] If the device is powered off at time t-4 and then powered on again at time t-2, then:

[0158]

[0159] This means that before time point t, the continuous power-on time of the device is only 3 time units, which does not meet the minimum power-on time;

[0160] but and The specific expression is:

[0161]

[0162] Substituting into the above formula, we can get the minimum start and stop time constraints of each electrical equipment:

[0163]

[0164] (2) Raw material balance constraints:

[0165] a. Raw material inventory balance constraint:

[0166]

[0167] In the formula, is the inventory of the raw material warehouse in period t, is the crushing rate of crusher i in time period t, is the cooling rate of blower j in time period t.

[0168] b. Upper and lower limits of raw material storage capacity:

[0169]

[0170] (3) Clinker balance constraints:

[0171] a. Clinker inventory balance constraint:

[0172]

[0173] In the formula, is the inventory of the semi-finished clinker warehouse in period t, is the grinding rate of cement mill n in time period t, is the amount of clinker shipped out during period t.

[0174] b. Upper and lower limits of clinker storage capacity:

[0175]

[0176] (4) Balance constraints of finished cement products:

[0177] a. Constraints on the balance of finished cement inventory:

[0178]

[0179] In the formula, is the inventory of cement finished product warehouse in period t, The quantity of cement finished products shipped out of warehouse.

[0180] b. Upper and lower limits of cement finished product warehouse capacity:

[0181]

[0182] (5) System balance constraints (on schedule, choose one of three):

[0183]

[0184] In the formula, Q is the total amount of electricity that has been connected to and disconnected from the grid in the year; net,EX is the total annual net on-grid electricity consumption, is the online power consumption in time period t, is the offline power grid in time period t;

[0185]

[0186] In the formula, Q EX The total annual grid-connected electricity.

[0187]

[0188] In the formula, Q IN It is the total amount of electricity that goes offline in the year.

[0189] (6) Cement delivery balance constraints:

[0190]

[0191] In the formula, It is the daily decomposition quantity of cement contract.

[0192] The constructed optimization model is solved and the CPLEX solver in Matlab is used to solve the optimization problem. Finally, the model solves the power load of the production line in each time period and the power regulation of each equipment, so as to formulate the corresponding production plan and achieve the goal of reducing the production cost of the enterprise and optimizing the production power load of the enterprise.

[0193] Embodiment 2

[0194] Figure 2 : is a system schematic diagram of a cement enterprise load regulation capacity prediction device according to another exemplary embodiment, the device comprising:

[0195] The electricity sales revenue acquisition module 1 is used to acquire the spot electricity sales revenue of the cement enterprise in the preset time period according to the spot electricity sold and spot electricity purchased by the cement enterprise in the preset time period;

[0196] Calling income acquisition module 2: used to obtain the effective demand response calling income of the cement enterprise in the preset time period according to the actual response capacity of the cement enterprise in the preset time period and the demand response clearing price;

[0197] Assessment expenditure acquisition module 3: used to obtain the assessment fee of the virtual power plant invalid response capacity of the cement enterprise in the preset time period according to the winning response capacity of the cement enterprise in the preset time period and the demand response forecast price;

[0198] The shared expenditure acquisition module 4 is used to obtain the demand response shared expenses of the cement enterprise within a preset time period;

[0199] Total revenue acquisition module 5: used to obtain the total revenue of the cement enterprise within the preset time period according to the spot electricity sales revenue, effective demand response call revenue, assessment fee of the ineffective response capacity of the virtual power plant and demand response apportionment fee of the cement enterprise within the preset time period;

[0200] Objective function building module 6: used to establish an objective function with the goal of maximizing the total revenue of the cement enterprise within a preset time period;

[0201] Constraint condition building module 7: used to establish the constraint condition of the objective function based on the power consumption of each electrical equipment on the production line of the cement enterprise and the inventory capacity of each cement enterprise meeting the preset target;

[0202] Solving module 8: is used to solve the objective function under the condition that the constraint conditions are met, and obtain the power load of the cement enterprise production line in a preset time period and the power consumption of each power-consuming equipment.

[0203] Embodiment three:

[0204] This embodiment provides a storage medium, wherein the storage medium stores a computer program, and when the computer program is executed by a main controller, each step in the above method is implemented;

[0205] It is understandable that the storage medium mentioned above can be a read-only memory, a magnetic disk or an optical disk, etc.

[0206] It can be understood that the same or similar parts of the above embodiments can be referenced to each other, and the contents not described in detail in some embodiments can refer to the same or similar contents in other embodiments.

[0207] It should be noted that, in the description of the present invention, the terms "first", "second", etc. are only used for descriptive purposes and cannot be understood as indicating or implying relative importance. In addition, in the description of the present invention, unless otherwise specified, the meaning of "plurality" refers to at least two.

[0208] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, segment or portion of code that includes one or more executable instructions for implementing the steps of a specific logical function or process, and the scope of the preferred embodiments of the present invention includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in the reverse order depending on the functions involved, which should be understood by those skilled in the art to which the embodiments of the present invention belong.

[0209] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, a plurality of steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0210] A person skilled in the art may understand that all or part of the steps in the method for implementing the above-mentioned embodiment may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, which, when executed, includes one or a combination of the steps of the method embodiment.

[0211] In addition, each functional unit in each embodiment of the present invention may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0212] The storage medium mentioned above can be a read-only memory, a magnetic disk or an optical disk, etc.

[0213] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "examples", "specific examples", or "some examples" means 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 representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.

[0214] Although the embodiments of the present invention have been shown and described above, it is to be understood that the above embodiments are exemplary and are not to be construed as limitations of the present invention. A person skilled in the art may change, modify, replace and vary the above embodiments within the scope of the present invention.

Claims

1. A method for predicting load regulation capacity of a cement enterprise, characterized in that: The method comprises: Obtaining spot electricity sales revenue of the cement enterprise in the preset time period according to the spot electricity sold and spot electricity purchased by the cement enterprise in the preset time period; Obtaining effective demand response call income of the cement enterprise in the preset time period according to the actual response capacity of the cement enterprise in the preset time period and the demand response clearing price; Obtaining the assessment fee of the ineffective response capacity of the virtual power plant of the cement enterprise in the preset time period according to the winning response capacity of the cement enterprise in the preset time period and the predicted price of demand response; Obtaining the demand response apportionment costs of the cement enterprise within a preset time period; Obtaining the total revenue of the cement enterprise within the preset time period according to the spot electricity sales revenue, effective demand response call revenue, assessment costs of the ineffective response capacity of the virtual power plant, and demand response apportionment costs of the cement enterprise within the preset time period; Establishing an objective function with the goal of maximizing the total revenue of the cement enterprise within a preset time period; The constraint conditions of the objective function are established based on the power consumption of each electrical equipment on the production line of the cement enterprise and the inventory capacity of each cement enterprise meeting the preset target; Under the condition that the constraint conditions are met, the objective function is solved to obtain the power load of the cement enterprise production line in a preset time period and the power consumption of each power-consuming device.

2. The method according to claim 1, characterized in that The constraint conditions for establishing the objective function based on the power consumption of each electrical equipment on the production line of the cement enterprise and the inventory capacity of each cement enterprise meeting the preset target include: The power balance constraint is established by satisfying the total power generated by the cement enterprise in the preset time period with the power consumption of each power-consuming equipment in the production process of the cement enterprise in the preset time period; A raw material balance constraint is established based on the raw material inventory of the cement enterprise within a preset time period meeting the raw material warehouse capacity; Establishing a clinker balance constraint by using the inventory clinker of the cement enterprise within a preset time period to meet the clinker storage capacity; Establishing a finished cement balance constraint based on the finished cement inventory of the cement enterprise within a preset time period meeting the finished cement warehouse capacity; Establish a system balance constraint based on the difference between the total annual on-grid electricity of the cement enterprise and the electricity completed in the previous year and not exceeding the total annual net on-grid electricity; A cement delivery balance constraint is established based on the cement finished product delivery volume of the cement enterprise within a preset time period meeting the daily delivery execution volume of the cement contract.

3. The method according to claim 2, characterized in that The power balance constraints include: total power balance constraints, power trading constraints, actual response capacity constraints, crusher power constraints, blower power constraints, raw mill power constraints, coal mill power constraints, cement mill power constraints and minimum start and stop time constraints for each power-consuming equipment; The total power balance constraint includes: obtaining the sum of the power consumption of each power-consuming device within a preset time period; obtaining the power generation power of the photovoltaic unit, the power generation power of the waste heat power generation unit, the power generation power of the wind turbine unit and the power difference between the upper and lower grids of the cement enterprise within the preset time period; Obtaining the total power generated by the cement enterprise within the preset time period according to the power generation power of the photovoltaic unit, the power generation power of the waste heat power generation unit, the power generation power of the wind turbine unit, and the power difference between the upper and lower grids of the cement enterprise within the preset time period; The total power balance constraint is established by taking the sum of the power consumption of each power-consuming device in a preset time period as equal to the total power generated by the cement enterprise in the preset time period; The power transaction constraints include: obtaining the decomposed power of the cement enterprise under the signed medium- and long-term contracts within a preset time period; obtaining spot power according to the spot purchase of power and spot sale of power by the cement enterprise within the preset time period; The power transaction constraint is established by taking the difference between the on-grid and off-grid power of the cement enterprise in a preset time period as equal to the difference between the spot power of the cement enterprise in the preset time period and the decomposed power of the signed medium- and long-term contracts; The actual response capacity constraint includes: obtaining the baseline load of the cement enterprise in a preset time period, and establishing the actual response capacity constraint by taking the difference between the baseline load of the cement enterprise in the preset time period and the spot power purchased by the cement enterprise in the preset time period as equal to the actual response capacity of the cement enterprise in the preset time period; The crusher power constraint comprises: establishing the crusher power constraint based on the crusher power in a preset time period meeting the crusher minimum and maximum power requirements; The blower power constraint includes: establishing the blower power constraint based on the blower power in a preset time period meeting the blower minimum and maximum power requirements; The raw mill power constraint comprises: establishing the raw mill power constraint based on the power of the raw mill in a preset time period meeting the minimum and maximum power requirements of the raw mill; The coal mill power constraint includes: establishing the coal mill power constraint based on the power of the coal mill in a preset time period meeting the minimum and maximum power requirements of the coal mill; The cement mill power constraint comprises: establishing the cement mill power constraint based on the power of the cement mill in a preset time period meeting the minimum and maximum power requirements of the cement mill; The minimum start and stop time constraints of each electrical device include: establishing the minimum start and stop time constraints of each electrical device based on the start and stop status of each electrical device within a period of time before a preset time point satisfying a preset minimum start time or a preset minimum stop time.

4. The method according to claim 3, characterized in that The raw material balance constraints include: raw material inventory balance constraints and raw material warehouse capacity upper and lower limit constraints; The raw material inventory balance constraint includes: obtaining the raw material output within a preset time period according to the crushing rate of the crusher within the preset time period and the cooling rate of the blower within the preset time period; Acquire the inventory of the raw material warehouse before the preset time period, and establish the raw material inventory balance constraint by taking the sum of the inventory of the raw material warehouse before the preset time period and the raw material output within the preset time period as equal to the inventory of the raw material warehouse within the preset time period; The upper and lower limit constraints of the raw material capacity include: establishing the upper and lower limit constraints of the raw material warehouse capacity based on the inventory of the raw material warehouse within the preset time period satisfying the minimum and maximum capacities of the raw material warehouse.

5. The method according to claim 4, characterized in that The clinker balance constraints include: clinker inventory balance constraints and clinker storage capacity upper and lower limit constraints; The clinker inventory balance constraint includes: obtaining the clinker output within a preset time period according to the cooling rate of the blower within a preset time period and the grinding rate of the cement mill within a preset time period; Obtain the inventory of the clinker warehouse before the preset time period, and obtain the outbound quantity of the clinker warehouse during the preset time period; The clinker inventory balance constraint is established by subtracting the outflow of the clinker warehouse in the preset time period from the sum of the inventory of the clinker warehouse before the preset time period and the clinker output in the preset time period to equal the inventory of the clinker warehouse in the preset time period; The upper and lower limit constraints of the clinker storage capacity include: establishing the upper and lower limit constraints of the clinker storage capacity based on the inventory of the clinker storage within the preset time period satisfying the minimum and maximum capacities of the clinker storage.

6. The method according to claim 5, characterized in that The finished cement product balance constraint includes: finished cement product inventory balance constraint and finished cement product warehouse capacity upper and lower limit constraints; The finished cement product inventory balance constraint includes: obtaining the output of finished cement products within a preset time period according to the grinding rate of the cement mill within a preset time period; Obtain the inventory of cement finished product warehouse before the preset time period, and obtain the cement finished product outbound quantity during the preset time period; The finished cement inventory balance constraint is established by subtracting the output of finished cement products in the preset time period from the sum of the inventory of the finished cement product warehouse before the preset time period and the output of finished cement products in the preset time period to equal the inventory of the finished cement product warehouse in the preset time period; The upper and lower limit constraints on the capacity of the finished cement product warehouse include: establishing the upper and lower limit constraints on the capacity of the finished cement product warehouse based on the inventory of the finished cement product warehouse within the preset time period satisfying the minimum and maximum capacities of the finished cement product warehouse.

7. The method according to claim 1, characterized in that The method of obtaining the spot electricity sales income of the cement enterprise in the preset time period according to the spot electricity sold and the spot electricity purchased by the cement enterprise in the preset time period includes: Obtaining the spot electricity sold by the cement enterprise in a preset time period, and obtaining the spot selling price in the preset time period; obtaining the total spot electricity sales revenue of the cement enterprise in the preset time period according to the spot electricity sold and the spot selling price; Obtaining the spot electricity purchased by the cement enterprise in a preset time period, and obtaining the demand response declared price in the preset time period; obtaining the total spot electricity purchase expenditure of the cement enterprise in the preset time period according to the spot electricity purchased and the demand response declared price; The spot electricity sales revenue of the cement enterprise in the preset time period is obtained according to the difference between the total spot electricity sales revenue and the total spot electricity purchase expenditure of the cement enterprise in the preset time period.

8. The method according to claim 1, characterized in that The obtaining of the demand response apportionment cost of the cement enterprise within a preset time period includes: Obtaining the total revenue of all demand response events within a preset time period, obtaining the electricity input price in the spot market within the preset time period, and obtaining the comprehensive price of all electricity within the preset time period; The demand response apportionment cost of the cement enterprise within the preset time period is obtained based on the ratio of the product of the total revenue of all demand response events within the preset time period and the electricity input price in the spot market to the comprehensive price of all electricity within the preset time period.

9. A cement enterprise load regulation capacity prediction device, characterized in that: The device comprises: The electricity sales revenue acquisition module is used to acquire the spot electricity sales revenue of the cement enterprise in the preset time period according to the spot electricity sold and spot electricity purchased by the cement enterprise in the preset time period; A call revenue acquisition module: used to acquire the effective demand response call revenue of the cement enterprise in the preset time period according to the actual response capacity of the cement enterprise in the preset time period and the demand response clearing price; Assessment expenditure acquisition module: used to obtain the assessment expenses of the ineffective response capacity of the virtual power plant of the cement enterprise in the preset time period according to the winning response capacity of the cement enterprise in the preset time period and the predicted price of demand response; A shared expenditure acquisition module: used to obtain the demand response shared expenses of the cement enterprise within a preset time period; Total revenue acquisition module: used to obtain the total revenue of the cement enterprise within a preset time period according to the spot electricity sales revenue, effective demand response call revenue, assessment fee of the ineffective response capacity of the virtual power plant and demand response apportionment fee of the cement enterprise within a preset time period; Objective function building module: used to establish an objective function with the goal of maximizing the total revenue of the cement enterprise within a preset time period; Constraint condition building module: used to establish the constraint condition of the objective function based on the power consumption of each electrical equipment on the production line of the cement enterprise and the inventory capacity of each cement enterprise meeting the preset target; Solving module: used to solve the objective function while satisfying the constraint conditions, and obtain the power load of the cement enterprise production line and the power consumption of each power-consuming equipment in a preset time period.

10. A storage medium, characterized in that: The storage medium stores a computer program, and when the computer program is executed by the main controller, each step of the method for predicting the load regulation capacity of a cement enterprise as described in any one of claims 1-8 is implemented.

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