Transferable load regulation and control method and system suitable for industrial high-energy-consumption enterprises

Abstract

The invention discloses a transferable load regulation and control method and system suitable for an industrial high-energy-consumption enterprise. The method comprises the steps of obtaining load data of various devices in the industrial high-energy-consumption enterprise; calculating based on the load data in combination with a pre-constructed high-energy-consumption industrial load scheduling model to obtain an optimal load regulation and control strategy; the optimal load regulation and control strategy is issued to various devices in the industrial high-energy-consumption enterprise for load regulation and control; wherein the high-energy-consumption industrial load scheduling model is constructed based on the total power utilization cost of industrial users as an objective function and in combination with constraint conditions; according to the model, comprehensive analysis is carried out on multi-dimensional information, and an equipment-level precise regulation and control strategy is provided; the power generation and utilization cost and the carbon emission permit transaction cost of the internal power plant of the two types of enterprises are considered, the utilization efficiency of internal power resources of the enterprises can be effectively improved, the power utilization cost is reduced, the supply and demand balance of a power grid is improved, and consumption and utilization of new energy are promoted.

Description

Technical Field

[0001] The present application relates to the field of intelligent electricity consumption, and specifically to a transferable load control method and system suitable for industrial high-energy-consuming enterprises. Background Art

[0002] The industrial sector accounts for the vast majority of energy consumption, especially high-energy-consuming industrial enterprises such as steel, chemicals, non-ferrous metals and building materials. These enterprises are not only important pillars of economic development, but also the main source of energy consumption and carbon emissions. With the emphasis on energy conservation, emission reduction and environmental protection, how to improve the energy efficiency of high-energy-consuming industrial enterprises has become an important issue that needs to be solved urgently. In recent years, a series of policies and measures have been introduced to encourage enterprises to adopt advanced energy management technologies and equipment to promote energy conservation and emission reduction in the industrial sector. However, high-energy-consuming industrial enterprises often build their own power plants or cooperate with power grid companies to ensure a stable power supply, but this model also brings problems such as energy waste and low energy efficiency. A scientific and reasonable power generation and consumption modeling method is particularly important in this context and has become one of the key ways to achieve the goal of energy conservation and efficiency improvement.

[0003] In order to improve the energy efficiency of high-energy-consuming industrial enterprises, exploration and practice have been carried out in many aspects. First, as a comprehensive energy management platform applied to industrial enterprises, the energy management system achieves the goal of energy saving and efficiency improvement by monitoring and optimizing the entire process of energy supply, conversion, distribution and use. The energy management system can not only improve the efficiency of energy utilization, but also reduce the operating costs of enterprises and provide enterprises with more refined management methods. Secondly, the development of smart grid technology provides a new solution for the optimization of power generation and consumption of high-energy-consuming industrial enterprises. Smart grids realize the intelligent management of power production, transmission, distribution and consumption through the deep integration of information and communication technology and power systems. Smart grids can not only improve the stability and reliability of power systems, but also optimize the allocation of power resources through load forecasting and demand response technologies, helping enterprises to achieve efficient use of energy and cost control. In addition, distributed energy systems, as a new type of energy production and utilization, including distributed generation, energy storage and microgrids, can improve energy utilization efficiency, reduce dependence on external power grids, and reduce energy costs and carbon emissions for high-energy-consuming industrial enterprises. Big data and artificial intelligence technologies are increasingly being used in energy management. By analyzing historical and real-time data, companies can more accurately predict energy demand and develop optimized power generation and utilization strategies. In addition, machine learning algorithms can help companies identify and eliminate irrational phenomena in the energy use process, improve energy efficiency, and further promote the realization of corporate energy conservation and emission reduction goals.

[0004] Although existing technologies have achieved certain results in improving the energy efficiency of high-energy-consuming industrial enterprises, there are still some shortcomings and challenges. First, the energy management system and production management system of many enterprises are relatively independent, lacking effective integration and coordination, resulting in a lack of linkage between energy utilization and production planning, making it difficult to achieve overall optimization. This system fragmentation phenomenon limits the function of the energy management system and increases the complexity of enterprise management. Secondly, the existing energy management system has delays in data collection, transmission and processing, which affects the real-time monitoring and optimization of energy use. In addition, the accuracy of load forecasting and demand response technology needs to be improved, and it is difficult to fully meet the actual application needs. High-energy-consuming industrial enterprises are large in scale and complex in structure. There are large differences among enterprises in production processes, equipment configuration and management levels, which makes it difficult to promote advanced technologies in actual applications. Due to the lack of funds and technical personnel, some enterprises have different acceptance and implementation capabilities of new technologies, which further increases the difficulty of technology promotion. Finally, the issue of cost and return on investment is also an important factor restricting the application of technology. Although technologies such as smart grids and distributed energy systems have significant energy-saving potential, the initial investment is large and the payback period is long. Many enterprises are taking a wait-and-see attitude towards the application of these technologies under economic pressure. In addition, the high operating and maintenance costs of some technologies have increased companies’ concerns and affected the popularization and application of technologies.

[0005] In general, with the emphasis on energy efficiency of high-energy-consuming industrial enterprises, the continuous advancement of related technologies and the promotion of policies, energy management and optimization of high-energy-consuming industrial enterprises will usher in new development opportunities. Despite the challenges of low system integration, insufficient real-time performance and accuracy, difficulty in technology promotion, and cost and return on investment, through continuous technological innovation and management optimization, the energy efficiency of high-energy-consuming industrial enterprises can be further improved, carbon emissions can be reduced, and greater contributions can be made to sustainable development. In the future development process, the joint efforts of the government, enterprises and scientific research institutions are needed to promote the improvement of energy management level of high-energy-consuming industrial enterprises and achieve the goal of energy saving and efficiency improvement through various means such as policy support, technology research and development, experience sharing and training promotion.

[0006] Patent application with publication number CN 117876012 A, "A method and system for coordinated trading of electricity and carbon market for steel production enterprises", such as Figure 1As shown in the figure, a method and system for coordinated trading in the electricity-carbon market for steel production enterprises is proposed. This method constructs a profit model for steel production enterprises and a clearing model for the electricity and carbon markets by analyzing the energy consumption behavior and carbon emission behavior of the specific production process of steel enterprises. According to the KKT condition, the upper-layer steel production enterprise profit model and the lower-layer electricity market clearing model and carbon market Cournot model are converted into a single-layer nonlinear model, and the single-layer nonlinear model is linearized and solved using the strong duality theorem and the big M method, and the optimal coordinated trading plan for the electricity-carbon market for steel production enterprises is output. It enables steel production enterprises to reduce transaction costs in the electricity market and the carbon market by flexibly quoting and reporting quantities in the electricity market and the carbon market, and further increase the profits of steel production enterprises.

[0007] It only considers the energy consumption behavior of the steel enterprise's production process, cannot support industrial high-energy-consuming enterprises with different load types, and cannot meet the high-energy-consuming enterprises' demand for flexible load power regulation, resulting in poor control effect.

[0008] Patent application with publication number CN 114881535 A, "A method for industrial load demand response scheduling under high proportion of new energy", such as Figure 2 As shown, a method for industrial load demand response scheduling under a high proportion of new energy is provided, including determining the mode of demand response of different types of industrial loads according to the demand response characteristics of different types of industrial loads; dividing the overall scheduling into three time scales of day-ahead scheduling, intraday scheduling and real-time scheduling; determining the optimization scheduling tasks at different time scales; training the improved C-DCGAN models of the three time scales respectively to obtain the source-load scenario values ​​at different time scales; constructing a day-ahead multi-scenario random programming model to obtain the optimal day-ahead scheduling instruction; constructing an intraday multi-scenario random programming model according to the intraday source-load scenario value to obtain the optimal intraday scheduling instruction; constructing a real-time multi-scenario random programming model according to the real-time source-load scenario value to obtain the optimal real-time scheduling instruction. The present invention describes the uncertainty of new energy output and load power, provides uncertainty scenario support for scheduling, reduces scheduling costs and enhances scheduling effects.

[0009] Only the demand response terminal control method process under high penetration of new energy is considered, and the control methods based on price signals, incentive guidance signals, carbon trading, etc. are not considered. Model training depends on high-quality data, otherwise it will affect the accuracy. Although uncertainty is taken into account, it may still fail in extreme cases. In addition, the model has a high technical threshold and requires a high understanding of new energy technology, load management and machine learning models, which limits its application in some enterprises.

[0010] Therefore, it is urgent to solve the problems of single control mode of load management methods, lack of refined control of internal equipment of enterprises and diversified energy service capabilities. Summary of the invention

[0011] In order to solve the problems of the existing load management methods, which have a single control mode and lack of refined control of internal equipment and diversified energy service capabilities, this application proposes a transferable load control method suitable for industrial high-energy-consuming enterprises, including:

[0012] Obtain load data of various types of equipment within industrial high-energy-consuming enterprises;

[0013] Calculate based on the load data combined with a pre-built high-energy-consuming industrial load dispatching model to obtain an optimal load control strategy;

[0014] Sending the optimal load control strategy to various types of equipment within industrial high-energy-consuming enterprises for load control;

[0015] Among them, the high-energy-consuming industrial load scheduling model is constructed based on the total electricity cost of industrial users composed of the power generation and consumption costs of internal power plants of industrial high-energy-consuming enterprises, carbon emission rights trading costs, load transfer costs, net electricity costs and production income as the objective function combined with constraints.

[0016] Preferably, the process of constructing the high-energy-consuming industrial load dispatching model includes:

[0017] The objective function is to minimize the total electricity cost of industrial users, which is composed of the power generation and consumption cost of the internal power plants of industrial high-energy-consuming enterprises, the transfer cost of transferable loads, the net electricity cost, the carbon emission trading right cost and the production income.

[0018] The output range of conventional thermal power units and cogeneration units, the ramp rate range of conventional thermal power units and cogeneration units, the timing constraint range of transferable loads, and the range of power balance and power exchange are used as constraints;

[0019] A high-energy-consuming industrial load dispatching model is constructed based on the objective function and the constraint conditions.

[0020] Preferably, the calculation formula of the objective function is as follows:

[0021]

[0022] In the formula, f is the total electricity cost of industrial users; is the transfer cost of the transferable load; C k is the electricity generation and consumption cost of the internal power plants of industrial high energy consumption enterprises; Q k is the net electricity cost; Carbon k is the cost of carbon emission trading rights; Pr kis the production revenue; c is the ranking of transferable loads; M is the number of transferable loads; k is the ranking of scheduling periods; K is the number of scheduling periods.

[0023] Preferably, the calculation formula of the time sequence constraint range of the transferable load in the constraint condition is as follows:

[0024]

[0025]

[0026]

[0027] Where c is the order of the transferable loads; M is the number of transferable loads; θ c，k is the load c state variable, which is 1 when the system is running, otherwise it is 0; T c，n is the working time of load c; k is the order of the scheduling period; t c，min The load c starts to limit the running time; t c，max is the load c running time termination limit; θ c，t is the operating state of load c at time t; θ c，k+1 is the operating state of load c at time t+1; t is the load operating time; θ b，k is the state variable of load b; k is the order of the scheduling period; K is the number of scheduling periods.

[0028] Preferably, the calculation formula for the value range of power balance and power exchange in the constraint condition is as follows:

[0029]

[0030]

[0031] Where c is the order of the transferable loads; M is the number of transferable loads; l c，k is the load that can be transferred during period k; is the fixed load for k periods; E k Power generation capacity of the enterprise's own power plant; D k is the interaction power between the enterprise's self-provided power plant and the power grid; L k is the total load of the captive power plant; It is the maximum interactive power between the enterprise's self-provided power plant and the power grid.

[0032] Preferably, the calculation formula for the output value range of the conventional thermal power unit and the cogeneration unit in the constraint condition is as follows:

[0033]

[0034] In the formula, The minimum power value of the unit; P is the maximum power value of the unit; i G，CHP The power value generated by the unit;

[0035] The calculation formula for the ramp rate range of the conventional thermal power unit and the cogeneration unit is as follows:

[0036]

[0037] In the formula, It is the minimum ramp rate of conventional thermal power units and cogeneration units; is the power generation capacity of conventional thermal power units and cogeneration units in period k; is the power generation capacity of conventional thermal power units and cogeneration units in period k-1; It is the maximum ramp rate of conventional thermal power units and cogeneration units. Preferably, the industrial high energy consumption enterprises include: cement enterprises and steel enterprises.

[0038] Based on the same application concept, this application also proposes a transferable load control system suitable for industrial high-energy-consuming enterprises, including:

[0039] Data acquisition module, used to obtain load data of various types of equipment within industrial high-energy-consuming enterprises;

[0040] A model calculation module, used to calculate based on the load data combined with a pre-built high-energy-consuming industrial load dispatching model to obtain an optimal load control strategy;

[0041] A strategy delivery module is used to deliver the optimal load control strategy to various types of equipment within industrial high-energy-consuming enterprises for load control;

[0042] Among them, the high-energy-consuming industrial load scheduling model is constructed based on the total electricity cost of industrial users composed of the power generation and consumption costs of internal power plants of industrial high-energy-consuming enterprises, carbon emission rights trading costs, load transfer costs, net electricity costs and production income as the objective function combined with constraints.

[0043] Preferably, it also includes a model building module, and the model building module is specifically used for:

[0044] The objective function is to minimize the total electricity cost of industrial users, which is composed of the power generation and consumption cost of the internal power plants of industrial high-energy-consuming enterprises, the transfer cost of transferable loads, the net electricity cost, the carbon emission trading right cost and the production income.

[0045] The output range of conventional thermal power units and cogeneration units, the ramp rate range of conventional thermal power units and cogeneration units, the timing constraint range of transferable loads, and the range of power balance and power exchange are used as constraints;

[0046] A high-energy-consuming industrial load dispatching model is constructed based on the objective function and the constraint conditions.

[0047] Preferably, the calculation formula of the objective function in the model building module is as follows:

[0048]

[0049] In the formula, f is the total electricity cost of industrial users; is the transfer cost of the transferable load; C k is the electricity generation and consumption cost of the internal power plants of industrial high energy consumption enterprises; Q k is the net electricity cost; Carbon k is the cost of carbon emission trading rights; Pr k is the production revenue; c is the ranking of transferable loads; M is the number of transferable loads; k is the ranking of scheduling periods; K is the number of scheduling periods.

[0050] Preferably, the calculation formula of the temporal constraint range of the transferable load in the model building module is as follows:

[0051]

[0052]

[0053]

[0054] Where c is the order of the transferable loads; M is the number of transferable loads; θ c，k is the load c state variable, which is 1 when the system is running, otherwise it is 0; T c，n is the working time of load c; k is the order of the scheduling period; t c，min The load c starts to limit the running time; t c，max is the load c running time termination limit; θ c，t is the operating state of load c at time t; θ c，k+1 is the operating state of load c at time t+1; t is the load operating time; θ b，k is the state variable of load b; k is the order of the scheduling period; K is the number of scheduling periods.

[0055] Preferably, the calculation formula for the value range of power balance and power exchange in the model building module is as follows:

[0056]

[0057]

[0058] Where c is the order of the transferable loads; M is the number of transferable loads; l c，k is the load that can be transferred during period k; is the fixed load for k periods; E k Power generation capacity of the enterprise's own power plant; D k is the interaction power between the enterprise's self-provided power plant and the power grid; L k is the total load of the captive power plant; It is the maximum interactive power between the enterprise's self-provided power plant and the power grid.

[0059] Preferably, the calculation formula for the output value range of the conventional thermal power unit and the cogeneration unit in the model building module is as follows:

[0060]

[0061] In the formula, The minimum power value of the unit; P is the maximum power value of the unit; i G，CHP The power value generated by the unit;

[0062] The calculation formula for the ramp rate range of the conventional thermal power unit and the cogeneration unit is as follows:

[0063]

[0064] In the formula, It is the minimum ramp rate of conventional thermal power units and cogeneration units; is the power generation capacity of conventional thermal power units and cogeneration units in period k; is the power generation capacity of conventional thermal power units and cogeneration units in period k-1; It is the maximum ramp rate of conventional thermal power units and cogeneration units.

[0065] Preferably, the industrial high-energy-consuming enterprises include: cement enterprises and steel enterprises.

[0066] On the other hand, the present application also proposes an electronic device, comprising: at least one processor and a memory; the memory and the processor are connected via a bus;

[0067] The memory is used to store one or more programs;

[0068] When the one or more programs are executed by the at least one processor, a transferable load control method applicable to industrial high-energy-consuming enterprises as described above is implemented.

[0069] On the other hand, the present application also proposes a readable storage medium on which an execution program is stored. When the execution program is executed, a transferable load control method suitable for industrial high-energy-consuming enterprises as described above is implemented.

[0070] Compared with the prior art, the beneficial effects of this application are:

[0071] A transferable load control method and system suitable for industrial high-energy-consuming enterprises, comprising: obtaining load data of various types of equipment within the industrial high-energy-consuming enterprises; calculating based on the load data in combination with a pre-constructed high-energy-consuming industrial load dispatching model to obtain an optimal load control strategy; issuing the optimal load control strategy to various types of equipment within the industrial high-energy-consuming enterprises for load control; wherein the high-energy-consuming industrial load dispatching model is constructed based on the total electricity cost of industrial users composed of the power generation and consumption costs of power plants within the industrial high-energy-consuming enterprises, carbon emission rights trading costs, load transfer costs, net electricity costs and production income as an objective function combined with constraints; the load dispatching model of the present application can comprehensively analyze multi-dimensional information and propose precise control strategies at the equipment level; the present application takes into account the power generation and consumption costs of power plants within two types of enterprises and the carbon emission rights trading costs, which can effectively improve the utilization efficiency of internal power resources of enterprises, reduce electricity costs, improve the supply and demand balance of power grids and promote the consumption and utilization of new energy. BRIEF DESCRIPTION OF THE DRAWINGS

[0072] Figure 1 This is a flow chart of a method for coordinated electricity-carbon market trading for a steel production enterprise in this application;

[0073] Figure 2 This is a flow chart of an industrial load demand response scheduling method under a high proportion of new energy in this application;

[0074] Figure 3 This is a flow chart of a transferable load control method applicable to industrial high energy consumption enterprises in this application;

[0075] Figure 4 The work flow chart of power generation and consumption dispatching for high energy-consuming industrial enterprises in this application;

[0076] Figure 5 Optimize the power output curves for the two types of industrial users in this application;

[0077] Figure 6 A diagram showing the transferable loads for the two types of industrial users in this application;

[0078] Figure 7 The power generation and consumption curves after optimization for the two types of industrial users in this application;

[0079] Figure 8Carbon emission rights cost diagrams before and after optimization for the two types of enterprises in this application;

[0080] Fig. 9 This is a structural diagram of a transferable load control system applicable to industrial high-energy-consuming enterprises in this application;

[0081] Fig.10 A diagram showing the connection between the new smart energy unit of this application and the user-side equipment and the new power load management system;

[0082] Fig.11 A diagram of an electronic device for this application. DETAILED DESCRIPTION

[0083] In the existing load management system of industrial high-energy-consuming enterprises, the load management method is mainly used to monitor the total power load of the enterprise, and some of them have simple on-off control functions for specific equipment. However, these methods are relatively single in the control mode and cannot meet the needs of diversified equipment control and comprehensive energy services within the enterprise. In view of the problems of the single control mode of the load management method, the lack of refined control of the internal equipment of the enterprise and the diversified energy service capabilities, this application proposes a transferable load control method suitable for industrial high-energy-consuming enterprises, and designs a new load control model. Based on the comprehensive analysis of the detailed energy consumption data of the internal production equipment of the enterprise, the grid control demand information and the multi-dimensional information such as the electricity market price, a precise control strategy at the equipment level is proposed. By considering the power generation and consumption costs of the power plants within the two types of enterprises and the carbon emission rights trading costs, the utilization efficiency of the internal power resources of the enterprise is effectively improved, the electricity cost is reduced, the supply and demand balance of the power grid is improved, and the consumption and utilization of new energy are promoted. It can not only help enterprises reduce electricity costs through load transfer during peak hours, but also achieve the energy efficiency improvement and energy conservation and emission reduction goals of enterprises by optimizing load management strategies. Ultimately, it aims to provide a scientific and effective load control method for industrial high-energy-consuming enterprises, help enterprises achieve the goal of sustainable development, and at the same time improve the stability and economy of power grid operation to meet the needs of low-carbon and efficient utilization of future energy systems. In order to better understand this application, the content of this application is further explained below in conjunction with the drawings and examples of the specification.

[0084] Embodiment 1:

[0085] A transferable load control method suitable for industrial high energy consumption enterprises, the specific process is as follows Figure 3 As shown, including:

[0086] Step 1: Obtain load data of various types of equipment within industrial high-energy-consuming enterprises;

[0087] Step 2, calculating based on the load data combined with a pre-built high-energy-consuming industrial load dispatching model to obtain an optimal load regulation strategy;

[0088] Step 3: Send the optimal load control strategy to various types of equipment within industrial high-energy-consuming enterprises for load control;

[0089] Among them, the high-energy-consuming industrial load scheduling model is constructed based on the total electricity cost of industrial users composed of the power generation and consumption costs of internal power plants of industrial high-energy-consuming enterprises, carbon emission rights trading costs, load transfer costs, net electricity costs and production income as the objective function combined with constraints.

[0090] Before step 1, a high-energy-consuming industrial load dispatching model is also included, and the construction process specifically includes:

[0091] The objective function is to minimize the total electricity cost of industrial users, which is composed of the power generation and consumption cost of the internal power plants of industrial high-energy-consuming enterprises, the transfer cost of transferable loads, the net electricity cost, the carbon emission trading right cost and the production income:

[0092] Due to the different characteristics of the industry, high-energy-consuming enterprises have installed various types and quantities of coal-fired units, cogeneration units and resource comprehensive utilization units at the power generation end. The total power generation model in the enterprise's self-provided power plant is as follows:

[0093]

[0094] In the formula, C k is the electricity generation and consumption cost of the internal power plant of the industrial high energy consumption enterprise; i is the ranking of the coal-fired units; m is the number of coal-fired units; a i is the first power generation cost coefficient of the coal-fired unit; b i is the second power generation cost coefficient of the coal-fired unit; c i is the third power generation cost coefficient of coal-fired units; P i，k is the power generation output of coal-fired unit i at time k; r is the ranking of resource comprehensive utilization units; u is the number of resource comprehensive utilization units; b r is the first power generation cost coefficient of the resource comprehensive utilization unit; c r The second power generation cost coefficient of the resource comprehensive utilization unit; is the power generation output of the comprehensive resource utilization unit r at time k; j is the order of the cogeneration units; n is the number of cogeneration units; a j is the first power generation cost coefficient of the cogeneration unit; b j is the second power generation cost coefficient of the cogeneration unit; c j are the third generation cost coefficients of the CHP unit, respectively; is the electric power of cogeneration unit j at time k; d j is the first heating cost coefficient of the cogeneration unit; f jis the second heating cost coefficient of the cogeneration unit; ~ are the third heating cost coefficients of the cogeneration unit respectively; is the average thermal power of cogeneration unit j at time k; k is the ranking of the scheduling period.

[0095] In the process of interaction between the self-provided power plant and the power grid, there are electricity purchase costs and electricity sales revenue. The electricity purchase cost is equal to the real-time electricity purchase price multiplied by the amount of electricity purchased during the period. The electricity sales revenue is equal to the real-time on-grid electricity price multiplied by the amount of electricity sold during the period. In the same period, electricity purchase and electricity sales are not allowed to occur at the same time. The electricity fee model is as follows:

[0096]

[0097] In the formula, Q k is the net electricity cost; k buy is the electricity purchase price; L k is the total load of the self-provided power plant; E k Provide power generation for the enterprise's own power plant; For the on-grid electricity price.

[0098] Some transferable loads incur some costs when they are transferred, and these costs are usually proportional to the load transfer time. The transfer cost of a transferable load c is:

[0099]

[0100] In the formula, is the transfer cost of the transferable load; is the cost coefficient of load transfer; S c is the start-up time after the transferable load is transferred; s c The original planned start time for the transferable load.

[0101] When the carbon dioxide emissions of power generation enterprises reach the allocated capacity, they need to continue to purchase carbon emission rights from local carbon emission centers. The market price of carbon emission quotas and carbon emission rights trading will fluctuate with the energy-saving, emission-reduction and consumption-reduction measures taken by enterprises. This application does not directly use functional relationships to represent pollutant emissions, but uses the power supply coal consumption coefficient in the latest published power industry statistical data to achieve the conversion of pollutant emissions. The calculation formula for the cost of carbon emission trading rights is:

[0102]

[0103] In the formula, Carbon k is the cost of carbon emission trading rights; C coal is the current market price of carbon emission rights trading market; R bm is the power supply coal consumption coefficient; is the carbon dioxide conversion factor; pi is the operating power of the coal-fired unit; i is the ranking of the coal-fired unit; m is the number of coal-fired units.

[0104] In order to reduce the price disadvantage of obtaining carbon emission trading rights and improve the applicability of the model to the production capacity of small and medium-sized enterprises, this application adds a production reward coefficient and incorporates it into the objective function in the form of production income reward. The production reward function is:

[0105]

[0106] Where, P is the generated revenue; k is the power generation output of coal-fired unit i at time k; The power generation output of unit r at time k is used for comprehensive resource utilization; is the electric power of cogeneration unit j at time k; R c is the production incentive coefficient, that is, the electricity consumed in the production process is proportional to the revenue obtained from the production; i is the ranking of coal-fired units; m is the number of coal-fired units; r is the ranking of comprehensive resource utilization units; u is the number of comprehensive resource utilization units; j is the ranking of cogeneration units; n is the number of cogeneration units.

[0107] The total electricity cost of industrial users includes five parts, so an optimal power generation and consumption response operation economic cost model for industrial users based on time-of-use electricity prices is established. The objective function is as follows:

[0108]

[0109] In the formula, f is the total electricity cost of industrial users; is the transfer cost of the transferable load; C k is the electricity generation and consumption cost of the internal power plants of industrial high energy consumption enterprises; Q k is the net electricity cost; Carbon k is the cost of carbon emission trading rights; Pr k is the production revenue; c is the ranking of transferable loads; M is the number of transferable loads; k is the ranking of scheduling periods; K is the number of scheduling periods.

[0110] The output range of conventional thermal power units and cogeneration units, the ramp rate range of conventional thermal power units and cogeneration units, the timing constraint range of transferable loads, and the value range of power balance and power exchange are used as constraints:

[0111] The output ranges of conventional thermal power units and cogeneration units are as follows:

[0112]

[0113] In the formula, The minimum power value of the unit; P is the maximum power value of the unit; i G，CHP It is the power value generated by the unit.

[0114] The ramp rate ranges for conventional thermal power units and cogeneration units are as follows:

[0115]

[0116] In the formula, It is the minimum ramp rate of conventional thermal power units and cogeneration units; is the power generation capacity of conventional thermal power units and cogeneration units in period k; is the power generation capacity of conventional thermal power units and cogeneration units in period k-1; It is the maximum ramp rate of conventional thermal power units and cogeneration units.

[0117] Industrial load consists of transferable load and fixed load, among which the transferable load can be divided into continuous load and interruptible load. In the kth operating period, the total load of the captive power plant can be expressed as follows:

[0118]

[0119] Where, L k is the total load of the self-provided power plant; l c，k is the load that can be transferred at time k; is the fixed load at time k; c is the ranking of the transferable loads; M is the number of transferable loads.

[0120] Transferable loads have strict timing requirements, n is the total operating time required to complete the task, T is the load working time. K is the total scheduling period in the model, and its timing constraints are as follows:

[0121]

[0122]

[0123]

[0124] Where c is the order of the transferable loads; M is the number of transferable loads; θ c，k is the load c state variable, which is 1 when the system is running, otherwise it is 0; T c，n is the working time of load c; k is the order of the scheduling period; t c，min The load c starts to limit the running time; t c，max is the load c running time termination limit; θ c，t is the operating state of load c at time t; θ c，k+1is the operating state of load c at time t+1; t is the load operating time; θ b，k is the state variable of load b; k is the order of the scheduling period; K is the number of scheduling periods.

[0125] Task c needs to wait for T after task c′ is completed. c To start running, the load timing coupling conditions are as follows:

[0126] s c′ +T c ≤s c

[0127] In the formula, s c′ is the start-up time after the transfer of the transferable load c′; T c is the waiting time; c is the start-up time after transfer of transferable load c.

[0128] The start and stop time and transfer power range of task c are as follows:

[0129]

[0130]

[0131]

[0132] In the formula, s c is the start time of the transferable load c after transfer; τ is the time period length; k is the order of the scheduling time period; is the startup status of task c in time period k, which is 1 when it is started; l c，k is the load that can be transferred during period k; is the fixed load for k periods; The maximum power generation capacity of the enterprise's own power plant; is the maximum interactive power between the enterprise's self-provided power plant and the power grid; c is the ranking of transferable loads; M is the number of transferable loads.

[0133] In the process of interacting with the power grid, the limitation of interactive power should also be taken into account. The range of power balance and power exchange is as follows:

[0134]

[0135]

[0136] Where c is the order of the transferable loads; M is the number of transferable loads; l c，k is the load that can be transferred during period k; is the fixed load for k periods; E k Power generation capacity of the enterprise's own power plant; Dk is the interaction power between the enterprise's self-provided power plant and the power grid; L k is the total load of the captive power plant; It is the maximum interactive power between the enterprise's self-provided power plant and the power grid.

[0137] A high-energy-consuming industrial load dispatching model is constructed based on the objective function and the constraint conditions.

[0138] In step 1, the load data of various types of equipment in industrial high-energy-consuming enterprises are obtained, including:

[0139] Obtain load data based on various types of equipment within industrial high-energy-consuming enterprises;

[0140] Industrial high energy-consuming enterprises include: cement enterprises and steel enterprises.

[0141] In step 2, the optimal load regulation strategy is obtained by calculating based on the load data combined with a pre-built high-energy-consuming industrial load dispatching model, which specifically includes:

[0142] According to the demand response characteristics of different types of industrial loads, determine the demand response methods for different types of industrial loads such as steel loads and cement loads;

[0143] Steel load: The steel industry is a typical high-energy-consuming industry, in which the electric arc furnace has a large power and a certain regulation potential. The power can be regulated by adjusting the on-load regulating transformer of the electric arc furnace. In steel enterprises, the production process in the steelmaking and ironmaking stages cannot be interrupted and needs to operate around the clock, so the loads of these two stages are regarded as basic loads. In contrast, the continuous casting and steel rolling stages involve the management of transferable loads. These steps are continuous loads and cannot be interrupted once started, otherwise the product quality will be seriously affected. Therefore, the transferable loads in the continuous casting and steel rolling processes must be carefully arranged and deployed to ensure the continuity of production and the quality of the products.

[0144] Cement load: The demand response potential of the cement industry comes from the storage capacity of raw material particles. When the storage capacity is sufficient, some crushers can be shut down, and when the storage capacity is insufficient, the number of crushers can be increased. Therefore, as long as the flexible load in the cement plant meets the requirement of unchanged electricity consumption time, a discontinuous production structure can be adopted for it.

[0145] The whole day's dispatch period is divided into six parts according to the power grid electricity price signal. The 1st and 6th periods are valley periods, the 2nd and 4th periods are normal periods, and the 3rd and 5th periods are peak periods. Each period lasts for 1 hour. In step 3, the optimal load control strategy is sent to various types of equipment within industrial high-energy-consuming enterprises for load control, which specifically includes:

[0146] The optimal load control strategy is sent to the equipment within industrial high-energy-consuming enterprises for load control.

[0147] The user-side resources connected to the power generation and consumption dispatching model of high-energy-consuming industrial enterprises participate in the peak shaving / valley filling demand response and power auxiliary service market work control process. Figure 4 As shown. The steel industry and cement industry have typical industrial user electrical equipment. Since ferroalloy ore-fired furnaces are typical high-energy industrial loads, their continuous casting and steel rolling stages can be used as flexible and adjustable load resources. However, since they cannot be interrupted after operation, the system needs to constrain the time continuity of their load startup. The cement industry has lower load operation timing requirements. Without affecting the total working time, it should act as an interruptible load operation to flexibly regulate the balance of power generation and consumption of the enterprise. During operation, the equipment control unit receives control instructions from the upper master station as well as current, voltage, position sensor signals, environmental parameters, configuration parameters and other information to determine the power consumption of various load units, and uploads various factory load and power generation information to the upper master station.

[0148] S1: Check the historical operation data of the unit

[0149] S2: Input the source load forecast value for the next 24 hours based on historical data and forecasting model.

[0150] S3: Generate multiple possible day-ahead source-load scenarios to cope with different demand response scenarios.

[0151] S4: Use the generated scenario values ​​to build a multi-scenario stochastic programming model.

[0152] S5: Use an optimization algorithm or solver to solve the optimal day-ahead scheduling strategy.

[0153] S6: Send the solved optimal scheduling strategy to each power-consuming equipment and system.

[0154] S7: Update the source-load forecast value every 15 minutes, and the forecast period is 1 hour.

[0155] S8: Generate source-load values ​​for multiple scenarios within a day to cope with real-time changes.

[0156] S9: Use the generated scenario values ​​to build an intraday multi-scenario stochastic programming model.

[0157] S10: Solve the optimal intraday scheduling strategy.

[0158] S11: Send the solved optimal intraday dispatching strategy to each power-consuming equipment and system.

[0159] S12: Update the actual source-load forecast value every hour and re-plan.

[0160] S13: Check whether the 24-hour scheduling cycle has been reached. If yes, the scheduling is terminated; if not, the real-time source-load prediction value is updated and the cycle continues.

[0161] For further full explanation, this embodiment optimizes the scheduling of an industrial park including two high-energy-consuming and high-carbon-emitting enterprises, namely steel and cement, so as to achieve the optimal economic cost while tapping the potential of industrial load scheduling.

[0162] The original data comes from the self-owned power plants of a steel enterprise and a cement enterprise, with installed capacities of 150,000 kW and 35,000 kW respectively. The electricity prices for the off-peak, normal and peak periods are 880 yuan / MWh, 600 yuan / MWh and 310 yuan / MWh respectively; the on-grid electricity price for each period is 300 yuan / MWh. The basic loads of the two types of enterprises in each period are shown in Table 1.

[0163]

[0164] Table 1 Basic load parameters of two enterprises

[0165] The maximum power generation of steel and cement enterprises is 150MW and 35MW respectively, and the minimum power generation is 100MW and 10MW respectively. The transferable load parameters of the two types of industrial users are shown in Table 2 and Table 3 respectively. In the continuous casting process of the steel industry, it takes a while for the molten steel to enter the isolation system after being stirred by the electromagnetic machine. Therefore, there is a gap between task 3 and task 5.

[0166] Timing coupling relationship, task 5 can only start working 0.2h after task 3 stops. Tasks 1 to 5 in the steel industry are all continuous loads. Tasks 1 to 5 in the cement industry are all interruptible loads.

[0167]

[0168] Table 2 Parameters of load tasks that can be transferred to steel enterprises

[0169]

[0170] Table 3 Cement enterprise transferable load task parameters

[0171] The original power generation and consumption of the two types of factories are as follows: Figure 5As shown in the figure. The peak-to-valley difference of the two types of enterprises was large before the power generation and consumption optimization scheduling, and both types of enterprises bought electricity from the power grid during the peak period. Power generation situation of steel plant before optimization is the power generation situation of the steel plant before optimization; Generating capacity is the power generation capacity; Load capacity is the load capacity.

[0172] According to the above model data, the transferable load transfer of the two types of industrial users is obtained as follows: Figure 6 As shown in the figure, Steelplant load transfer is the load transfer of the steel plant; Production tasks can be transferred are the transferable production tasks; Before transfer is the status before transfer; After transfer is the status after transfer.

[0173] from Figure 6 It can be seen that the transferable loads of the two types of enterprises are transferred from the peak period to the normal period and the valley period following the guidance of the constraints. Since the two types of enterprises have transferable loads that require a large transfer cost, the start time of the steel enterprise task 5 and the cement enterprise task 3 have not changed significantly, and the load task of the cement enterprise can be interrupted. Figure 6 By transferring the load, the power generation and consumption curves of the two types of enterprises after optimization can be obtained as follows: Figure 7 As shown in the figure, Power generation situation of steel plant after optimization is the power generation situation of the steel plant after optimization.

[0174] By comparison, it can be found that the load difference between the peak and valley periods of the two types of industrial users has decreased, and the load distribution of the two types of enterprises has become more stable. At the same time, the load of steel and cement enterprises has been effectively reduced during peak electricity consumption periods. According to the relationship between power generation cost and time-of-use electricity price, the power generation cost of self-provided power plants during valley periods is greater than the power purchase cost. Therefore, both types of enterprises adopt a smaller power generation output. The power generation cost during peak and normal periods is lower than the power purchase price. The power generation output of both types of enterprises can track load changes and reduce power purchase costs while meeting the constraints. Therefore, the operating costs of the two types of industrial users in the model have been significantly reduced.

[0175] The model proposed in this example also takes into account the cost optimization of carbon emission rights trading. Under the condition of meeting the constraints, the carbon emissions of the two types of enterprises are optimized to different degrees. Due to the characteristics of the transferable load that cannot be interrupted, the cost of purchasing carbon emission rights for steel enterprises has decreased less. The carbon emission cost optimization effect of cement enterprises is more significant and has stronger adjustable performance. Figure 8 As shown in the figure, Carbon emission cost distribution of steel plant is the carbon emission cost distribution of steel plant; Carbon emission cost is the carbon emission cost.

[0176] The operating costs of the two types of enterprises mentioned above were reduced by 1 million yuan and 1 million yuan respectively in the six scheduling periods. It is worth mentioning that with the gradual advancement of enterprise expansion and reproduction, the operating costs of this model will be reduced more significantly. By comparing the economic optimization process of the steel industry and the cement industry, it can be found that the steel industry has a relatively strict time sequence coupling relationship between the various steps in its production process, and its adjustable ability is poorer than that of the cement industry.

[0177] In general, this application is applicable to the power regulation of high-energy-consuming industrial power generation and dispatching systems, which can meet the needs of accurate call and optimized regulation of internal equipment-level loads and improve energy efficiency. For factory users, this method and device can meet their needs for participating in power demand response and auxiliary service market regulation, obtain corresponding market incentive subsidies, and reduce production electricity costs.

[0178] Embodiment 2:

[0179] A transferable load control system suitable for industrial high energy consumption enterprises, the structure is as follows Fig. 9 As shown, including:

[0180] Data acquisition module, used to obtain load data of various types of equipment within industrial high-energy-consuming enterprises;

[0181] A model calculation module, used to calculate based on the load data combined with a pre-built high-energy-consuming industrial load dispatching model to obtain an optimal load control strategy;

[0182] A strategy delivery module is used to deliver the optimal load control strategy to various types of equipment within industrial high-energy-consuming enterprises for load control;

[0183] Among them, the high-energy-consuming industrial load scheduling model is constructed based on the total electricity cost of industrial users composed of the power generation and consumption costs of internal power plants of industrial high-energy-consuming enterprises, carbon emission rights trading costs, load transfer costs, net electricity costs and production income as the objective function combined with constraints.

[0184] It also includes a model building module, which is specifically used to:

[0185] The objective function is to minimize the total electricity cost of industrial users, which is composed of the power generation and consumption cost of the internal power plants of industrial high-energy-consuming enterprises, the transfer cost of transferable loads, the net electricity cost, the carbon emission trading right cost and the production income.

[0186] The output range of conventional thermal power units and cogeneration units, the ramp rate range of conventional thermal power units and cogeneration units, the timing constraint range of transferable loads, and the range of power balance and power exchange are used as constraints;

[0187] A high-energy-consuming industrial load dispatching model is constructed based on the objective function and the constraint conditions.

[0188] The calculation formula of the objective function in the model building module is as follows:

[0189]

[0190] In the formula, f is the total electricity cost of industrial users; is the transfer cost of the transferable load; C k is the electricity generation and consumption cost of the internal power plants of industrial high energy consumption enterprises; Q k is the net electricity cost; Carbon k is the cost of carbon emission trading rights; Pr k is the production revenue; c is the ranking of transferable loads; M is the number of transferable loads; k is the ranking of scheduling periods; K is the number of scheduling periods.

[0191] The calculation formula of the timing constraint range of the transferable load in the model building module is as follows:

[0192]

[0193]

[0194]

[0195] Where c is the order of the transferable loads; M is the number of transferable loads; θ c,k is the load c state variable, which is 1 when the system is running, otherwise it is 0; T c,n is the working time of load c; k is the order of the scheduling period; t c,min The load c starts to limit the running time; t c,max is the load c running time termination limit; θ c,t is the operating state of load c at time t; θ c,t+1 is the operating state of load c at time t+1; t is the load operating time; θb,k is the state variable of load b; k is the order of the scheduling period; K is the number of scheduling periods.

[0196] The calculation formula for the value range of power balance and power exchange in the model building module is as follows:

[0197]

[0198]

[0199] Where c is the order of the transferable loads; M is the number of transferable loads; l c,k is the load that can be transferred during period k; is the fixed load for k periods; E k Power generation capacity of the enterprise's own power plant; D k is the interaction power between the enterprise's self-provided power plant and the power grid; L k is the total load of the captive power plant; It is the maximum interactive power between the enterprise's self-provided power plant and the power grid.

[0200] The calculation formula for the output value range of conventional thermal power units and cogeneration units in the model building module is as follows:

[0201]

[0202] In the formula, The minimum power value of the unit; P is the maximum power value of the unit; i G,CHP The power value generated by the unit;

[0203] The calculation formula for the ramp rate range of the conventional thermal power unit and the cogeneration unit is as follows:

[0204]

[0205] In the formula, It is the minimum ramp rate of conventional thermal power units and cogeneration units; is the power generation capacity of conventional thermal power units and cogeneration units in period k; is the power generation capacity of conventional thermal power units and cogeneration units in period k-1; It is the maximum ramp rate of conventional thermal power units and cogeneration units.

[0206] The industrial high energy-consuming enterprises include: cement enterprises and steel enterprises.

[0207] The high-energy-consuming industrial load dispatching system is mainly deployed in power plants and distribution rooms of factories and enterprises in industrial parks, where public wireless communication network coverage is good and electromagnetic interference is less, as well as the daily duty area of ​​factory operators. The upper master station is connected through the vertical security authentication platform to ensure the security of the system and the effective transmission of data. For downlink connections, the system adopts a hybrid networking method of wired and wireless to connect various types of equipment. The first is intelligent equipment, such as self-provided generator sets, distributed power inverters, arc furnaces and ladle refining furnace equipment electronic control units. These devices are connected to the system by wire or wireless. If the equipment does not have an open protocol, the equipment manufacturer must cooperate to access and debug. The system monitors the operating status of these devices and outputs control instructions to adjust the disconnection or operating status of the equipment. The second is the real-time measurement equipment within the enterprise, including electrical measurement instruments for monitoring electrical parameters, such as smart meters or measurement and control modules installed by power grid companies or power demand response implementation agencies. These devices are connected to the system by wire or wireless. The system continuously monitors the load data of these devices, analyzes their load characteristics and regulation capacity, and especially monitors whether their load is implemented in accordance with the established requirements when the devices participate in the demand response strategy. Finally, the load switches or circuit breakers of non-intelligent devices are connected to the system by wired or wireless means to achieve direct on-off control of these devices. In this way, the system can accurately monitor and control intelligent devices to ensure their efficient operation, while simplifying the management of non-intelligent devices. The system continuously collects load data and conducts detailed analysis to optimize the efficiency and regulation capacity of the equipment. When executing the demand response strategy, the system monitors the response of the equipment in real time to ensure that it is executed according to the predetermined plan. The entire system achieves efficient communication through wired and wireless hybrid networking, and ensures overall security through a vertical security authentication platform. This deployment and connection method of the high-energy-consuming industrial load dispatching system not only improves the intelligent management level of the power system and improves energy utilization efficiency, but also ensures the safety and reliability of the system.

[0208] The connection relationship between the high-energy-consuming industrial load dispatching system and the user-side equipment is as follows Fig.10 shown.

[0209] Embodiment 3:

[0210] like Fig.11 As shown, the present invention also provides an electronic device, which may be a computer device, a single-chip device, an intelligent mobile device, etc. The electronic device in this embodiment may include a processor, a memory, a transceiver component, etc. The memory, the processor, and the transceiver component are connected via a bus; the memory may be used to store an execution program, and an exemplary execution program may include instructions; the processor is used to execute the instructions stored in the memory. The memory may also be used to store data, which may be called and / or modified when the instructions are executed.

[0211] The processor may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. It is the computing core and control core of the terminal, which is suitable for implementing one or more instructions, specifically suitable for loading and executing one or more instructions in a storage medium to implement the corresponding method flow or corresponding functions, so as to implement the steps of a transferable load control method suitable for industrial high-energy-consuming enterprises in the above-mentioned embodiment.

[0212] Example 4

[0213] Based on the same inventive concept, the present invention also provides a readable storage medium, specifically an electronic device readable storage medium (Memory), which is a memory device in an electronic device for storing programs and data. It can be understood that the storage medium here can include both built-in storage media in electronic devices and, of course, extended storage media supported by electronic devices. The storage medium provides a storage space, which stores the operating system of the terminal. In addition, one or more instructions suitable for being loaded and executed by a processor are also stored in the storage space, and these instructions can be one or more execution programs (including program codes). It should be noted that the storage medium here can be a high-speed RAM memory or a non-volatile memory, such as at least one disk storage. The processor loads and executes one or more instructions stored in the storage medium, which can implement the steps of a transferable load control method suitable for industrial high-energy-consuming enterprises in the above embodiment.

[0214] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

[0215] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0216] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0217] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0218] The above are merely embodiments of the present application and are not intended to limit the present application. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application are included in the scope of the claims of the present application to be approved.

Claims

1. A transferable load control method suitable for industrial high energy consumption enterprises, characterized in that: include: Obtain load data of various types of equipment within industrial high-energy-consuming enterprises; Calculate based on the load data combined with a pre-built high-energy-consuming industrial load dispatching model to obtain an optimal load control strategy; Sending the optimal load control strategy to various types of equipment within industrial high-energy-consuming enterprises for load control; Among them, the high-energy-consuming industrial load scheduling model is constructed based on the total electricity cost of industrial users composed of the power generation and consumption costs of internal power plants of industrial high-energy-consuming enterprises, carbon emission rights trading costs, load transfer costs, net electricity costs and production income as the objective function combined with constraints.

2. The method according to claim 1, characterized in that The construction process of the high energy consumption industrial load dispatching model includes: The objective function is to minimize the total electricity cost of industrial users, which is composed of the power generation and consumption cost of the internal power plants of industrial high-energy-consuming enterprises, the transfer cost of transferable loads, the net electricity cost, the carbon emission trading right cost and the production income. The output range of conventional thermal power units and cogeneration units, the ramp rate range of conventional thermal power units and cogeneration units, the timing constraint range of transferable loads, and the range of power balance and power exchange are used as constraints; A high-energy-consuming industrial load dispatching model is constructed based on the objective function and the constraint conditions.

3. The method according to claim 2, characterized in that The calculation formula of the objective function is as follows: In the formula, f is the total electricity cost of industrial users; is the transfer cost of the transferable load; C k is the electricity generation and consumption cost of the internal power plants of industrial high energy consumption enterprises; Q k is the net electricity cost; Carbon k is the cost of carbon emission trading rights; Pr k is the production revenue; c is the ranking of transferable loads; M is the number of transferable loads; k is the ranking of scheduling periods; K is the number of scheduling periods.

4. The method according to claim 2, characterized in that: The calculation formula of the timing constraint range of the transferable load in the constraint condition is as follows: Where c is the order of the transferable loads; M is the number of transferable loads; θ c,k is the load c state variable, which is 1 when the system is running, otherwise it is 0; T c,n is the working time of load c; k is the order of the scheduling period; t c,min The load c starts to limit the running time; t c,max is the load c running time termination limit; θ c,t is the operating state of load c at time t; θ c,t+1 is the operating state of load c at time t+1; t is the load operating time; θ b,k is the state variable of load b; k is the order of the scheduling period; K is the number of scheduling periods.

5. The method according to claim 2, characterized in that: The calculation formula for the value range of power balance and power exchange in the constraint condition is as follows: Where c is the order of the transferable loads; M is the number of transferable loads; l c,k is the load that can be transferred during period k; is the fixed load for k periods; E k Power generation capacity of the enterprise's own power plant; D k is the interaction power between the enterprise's self-provided power plant and the power grid; L k is the total load of the captive power plant; It is the maximum interactive power between the enterprise's self-provided power plant and the power grid.

6. The method according to claim 2, characterized in that The calculation formula for the output value range of conventional thermal power units and cogeneration units in the constraints is as follows: In the formula, The minimum power value of the unit; P is the maximum power value of the unit; i G,CHP The power value generated by the unit; The calculation formula for the ramp rate range of the conventional thermal power unit and the cogeneration unit is as follows: In the formula, It is the minimum ramp rate of conventional thermal power units and cogeneration units; is the power generation capacity of conventional thermal power units and cogeneration units in period k; is the power generation capacity of conventional thermal power units and cogeneration units in period k-1; It is the maximum ramp rate of conventional thermal power units and cogeneration units.

7. The method according to claim 1, characterized in that The industrial high energy-consuming enterprises include: cement enterprises and steel enterprises.

8. A transferable load control system suitable for industrial high energy consumption enterprises, characterized in that: include: Data acquisition module, used to obtain load data of various types of equipment within industrial high-energy-consuming enterprises; A model calculation module, used to calculate based on the load data combined with a pre-built high-energy-consuming industrial load dispatching model to obtain an optimal load control strategy; A strategy delivery module is used to deliver the optimal load control strategy to various types of equipment within industrial high-energy-consuming enterprises for load control; Among them, the high-energy-consuming industrial load scheduling model is constructed based on the total electricity cost of industrial users composed of the power generation and consumption costs of internal power plants of industrial high-energy-consuming enterprises, carbon emission rights trading costs, load transfer costs, net electricity costs and production income as the objective function combined with constraints.

9. The system according to claim 8, characterized in that It also includes a model building module, which is specifically used to: The objective function is to minimize the total electricity cost of industrial users, which is composed of the power generation and consumption cost of the internal power plants of industrial high-energy-consuming enterprises, the transfer cost of transferable loads, the net electricity cost, the carbon emission trading right cost and the production income. The output range of conventional thermal power units and cogeneration units, the ramp rate range of conventional thermal power units and cogeneration units, the timing constraint range of transferable loads, and the range of power balance and power exchange are used as constraints; A high-energy-consuming industrial load dispatching model is constructed based on the objective function and the constraint conditions.

10. The system according to claim 9, characterized in that The calculation formula of the objective function in the model building module is as follows: In the formula, f is the total electricity cost of industrial users; is the transfer cost of the transferable load; C k is the electricity generation and consumption cost of the internal power plants of industrial high energy consumption enterprises; Q k is the net electricity cost; Carbon k is the cost of carbon emission trading rights; Pr k is the production revenue; c is the ranking of transferable loads; M is the number of transferable loads; k is the ranking of scheduling periods; K is the number of scheduling periods.

11. The system according to claim 9, characterized in that The calculation formula of the timing constraint range of the transferable load in the model building module is as follows: Where c is the order of the transferable loads; M is the number of transferable loads; θ c,k is the load c state variable, which is 1 when the system is running, otherwise it is 0; T c,n is the working time of load c; k is the order of the scheduling period; t c,min The load c starts to limit the running time; t c,max is the load c running time termination limit; θ c,t is the operating state of load c at time t; θ c,t+1 is the operating state of load c at time t+1; t is the load operating time; θ b,k is the state variable of load b; k is the order of the scheduling period; K is the number of scheduling periods.

12. The system according to claim 9, characterized in that The calculation formula for the value range of power balance and power exchange in the model building module is as follows: Where c is the order of the transferable loads; M is the number of transferable loads; l c,k is the load that can be transferred during period k; is the fixed load for k periods; E k Power generation capacity of the enterprise's own power plant; D k is the interaction power between the enterprise's self-provided power plant and the power grid; L k is the total load of the captive power plant; It is the maximum interactive power between the enterprise's self-provided power plant and the power grid.

13. The system according to claim 9, characterized in that The calculation formula for the output value range of conventional thermal power units and cogeneration units in the model building module is as follows: In the formula, The minimum power value of the unit; P is the maximum power value of the unit; i G,CHP The power value generated by the unit; The calculation formula for the ramp rate range of the conventional thermal power unit and the cogeneration unit is as follows: In the formula, It is the minimum ramp rate of conventional thermal power units and cogeneration units; is the power generation capacity of conventional thermal power units and cogeneration units in period k; is the power generation capacity of conventional thermal power units and cogeneration units in period k-1; It is the maximum ramp rate of conventional thermal power units and cogeneration units.

14. The system according to claim 8, characterized in that The industrial high energy-consuming enterprises include: cement enterprises and steel enterprises.

15. An electronic device, characterized in that: include: at least one processor and memory; The memory and the processor are connected via a bus; The memory is used to store one or more programs; When the one or more programs are executed by the at least one processor, a transferable load control method applicable to industrial high-energy-consuming enterprises as described in any one of claims 1 to 7 is implemented.

16. A readable storage medium, characterized in that: An execution program is stored thereon, and when the execution program is executed, a transferable load control method suitable for industrial high-energy-consuming enterprises as described in any one of claims 1 to 7 is implemented.

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