A source-load-storage integrated system coordination operation method and device considering flexible adjustment of high-load industrial loads, electronic equipment and storage medium
By establishing a coordinated operation model for an integrated power generation, grid, load, and storage system with the lowest overall cost, and by combining the adjustment potential of high-energy-consuming industrial loads, the coordination of wind, solar, thermal, and storage systems has been optimized. This has solved the problem of unutilized high-energy-consuming industrial loads in the existing system and improved the system's flexibility in adjustment and its ability to absorb new energy sources.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- STATE GRID XINJIANG ELECTRIC POWER CO ECONOMIC TECH RES INST
- Filing Date
- 2025-12-31
- Publication Date
- 2026-05-29
AI Technical Summary
The existing integrated source-grid-load-storage system coordination operation method does not fully consider the flexible adjustment characteristics of high energy-consuming industrial loads, resulting in insufficient system flexibility adjustment capability, which affects the consumption of new energy and the balance of power supply and demand.
Establish a coordinated operation model for the integrated power generation, grid, load, and storage system with the goal of minimizing overall costs. Combine the regulation potential of high energy-consuming industrial loads such as electrolytic aluminum and polysilicon, and construct a balance constraint between electricity and hydrogen through the coordinated complementarity of wind, solar, thermal, and energy storage and typical high energy-consuming industrial loads, thereby optimizing the system operation scheme.
This has improved the system's flexibility and the rate of renewable energy absorption, reduced renewable energy curtailment, and enhanced the power supply and demand balance and the utilization level of renewable energy.
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Abstract
Description
Technical Field
[0001] This invention relates to the field of power system operation technology, and is a method, device, electronic equipment and storage medium for the coordinated operation of an integrated source-load-storage system that takes into account the flexible adjustment of high-energy-consuming industrial loads. Background Technology
[0002] By the end of 2024, China's installed wind power and photovoltaic power generation capacity reached 521GW and 887GW, respectively. As the penetration rate of intermittent renewable energy in the power system continues to increase, the demand for power system regulation capacity from both supply and demand sides is also gradually increasing. In industrial parks rich in renewable energy, integrated generation-grid-load-storage systems are an effective way to promote regional energy structure transformation. An integrated generation-grid-load-storage system integrates power sources, grids, loads, and energy storage into a collaborative energy system through technological means. Its core objectives are to improve the absorption capacity of new energy sources, enhance grid flexibility, and reduce energy costs. Its specific components include: on the source side, new energy sources such as wind and photovoltaics, as well as traditional power sources such as thermal and hydropower, improving power generation stability through multi-energy complementarity; on the grid side, flexible transmission and intelligent dispatching to address the volatility of new energy sources and enhance grid regulation capacity; on the load side, demand response to achieve peak shaving and valley filling, such as flexible adjustment of industrial, commercial, and residential loads; and on the storage side, energy storage systems store energy when there is a power surplus and release energy when there is a shortage, balancing supply and demand.
[0003] However, the existing integrated source-grid-load-storage system coordination operation method only considers the joint operation of new energy and energy storage, ignores the flexible adjustment characteristics of high energy load, lacks flexible coordination between source side, energy storage resources and high energy load, and has insufficient system flexibility adjustment capability and demand side resource utilization, which is not conducive to improving system operating efficiency and new energy consumption. Summary of the Invention
[0004] This invention provides a method, device, electronic equipment, and storage medium for the coordinated operation of an integrated source-grid-load-storage system that considers the flexible adjustment of high-energy-consuming industrial loads. It overcomes the shortcomings of the prior art and can effectively solve the problem that the existing integrated source-grid-load-storage system coordinated operation methods only consider the joint operation of new energy and energy storage, ignore the flexible adjustment characteristics of high-energy-consuming loads, and are not conducive to improving system operating efficiency.
[0005] One of the technical solutions of this invention is achieved through the following measures: a method for coordinated operation of an integrated source-load-storage system that considers flexible adjustment of high-energy-consuming industrial loads, comprising:
[0006] Establish a coordinated operation model for the integrated power generation, grid, load, and storage system, including:
[0007] An objective function is established with the goal of minimizing the overall cost, which includes the total operating cost of thermal power units, the total start-up and shutdown cost of thermal power units, the penalty cost for renewable energy curtailment, and the cost of purchasing electricity and selling hydrogen. The objective function is shown below:
[0008]
[0009] Among them, C g,t It is the operating cost of thermal power units; a g b g c g It is the power generation cost coefficient of thermal power units; P g,t It is the output of thermal power units; It is the cost of starting and stopping thermal power units; c u,g and c d,g These are the start-up cost and shutdown cost of a thermal power unit, respectively; g,t and z g,t These are the start-up and shutdown variables of thermal power units; and These are the abandoned power from wind power and solar power, respectively; λ re It is the penalty cost coefficient when renewable energy is forced to be reduced; λ net,t and These are the prices of electricity purchased from the main grid and the selling price of hydrogen; P t net Electricity is purchased from the main grid; It represents the power of hydrogen energy sold; T is the number of dispatch cycles; N is the power of hydrogen energy sold. g This refers to the number of thermal power units.
[0010] The objective function is constructed based on the constraints of source-load-storage resource operation and power and hydrogen balance constraints combined with the high energy-consuming industrial loads, where the high energy-consuming industrial loads include the electrolytic aluminum industrial load and the polysilicon industrial load.
[0011] Obtain the current basic data of the integrated source-grid-load-storage system, solve the coordinated operation model of the integrated source-grid-load-storage system, and form the operation plan of the integrated source-grid-load-storage system.
[0012] The following are further optimizations and / or improvements to the above-mentioned technical solution:
[0013] The constraints on the above objective function include:
[0014] (I) System operation constraints:
[0015]
[0016] Among them, P wind,t and P pv,t These are wind power generation and photovoltaic power generation during time period t; Ps,t This is the energy storage power output; a positive value indicates discharging, and a negative value indicates charging; P t AI It is the total electrical power consumption of the electrolytic aluminum load; P t SI This is the total power consumption of the polycrystalline silicon load; N is the electricity consumed by electrolyzer k in producing hydrogen during time period t; s and N k These are the numbers of electrical energy storage units and hydrogen refueling equipment, respectively; P t net It involves purchasing electricity from the main grid, which is subject to power supply restrictions from the large power grid;
[0017] (ii) Constraints on thermal power plant operation, including:
[0018] (1) Thermal power output constraint, as shown in the following formula:
[0019] x g,t P g,min ≤P g,t ≤x g,t P g,max
[0020] Where, x g,t This indicates the operating status of the thermal power unit; 1 represents normal operation, and 0 represents shutdown. g,min and P g,max These are the minimum and maximum limits for power output, respectively.
[0021] (2) Constraints on the operating status of thermal power plants are as follows:
[0022] y g,t -z g,t =x g,t -x g,t-1
[0023] The above describes the relationship between startup variables, shutdown variables, and committed states;
[0024] y g,t +z g,t ≤1
[0025] The above describes the inability of thermal power units to operate simultaneously in both start-up and shutdown states;
[0026] (3) Start-up and shutdown time constraints for thermal power units are as follows:
[0027]
[0028] in, and These refer to the unit's continuous operating time and continuous downtime, respectively. and These are the minimum operating and downtime of the unit, respectively.
[0029] (4) The ramping constraint of thermal power units is as follows:
[0030]
[0031] in, and These represent the unit's uphill and downhill climbing capabilities, respectively; ΔT represents the dispatch time interval.
[0032] (III) Constraints on the operation of electric energy storage, including:
[0033] (1) Energy storage capacity constraints, as shown below:
[0034]
[0035] E s,min ≤E s,t ≤E s,max
[0036] E s,T =E s,0
[0037] Among them, E s,t E s,min E s,max These are the charging status, lower battery level, and upper battery level; η c and η d These are charging and discharging efficiency, respectively. and These represent charging and discharging power, respectively.
[0038] (2) Constraints on the output of electrical energy storage, as shown below:
[0039]
[0040] in, and These are the limits on energy storage charging and discharging power, respectively. and These are the state variables for charging and discharging, respectively;
[0041] (iv) Operating constraints of hydrogen energy equipment, including:
[0042] (1) Electrolytic cell operating constraints, as shown below:
[0043]
[0044] in, This is the power consumption of electrolytic cell k; It represents the operating status of the electrolytic cell during time period t; and These are the minimum and maximum power requirements for electrolytic cell k, respectively; It is a climbing limitation; η TH It is the power consumption coefficient for the production of one unit of hydrogen.
[0045] (2) Operational constraints for hydrogen energy storage are as follows:
[0046]
[0047] in, Let t be the hydrogen storage capacity of the hydrogen storage device during time period t; and These are the minimum and maximum hydrogen storage capacities, respectively. and These are hydrogen input and output, respectively; η IN,hs and η out,hs These are the hydrogen input and output efficiencies of the hydrogen storage device; and These are the hydrogen input and output state variables, respectively.
[0048] (3) Hydrogen energy balance constraints, as shown below:
[0049]
[0050] (v) Wind power output constraints, including:
[0051] The power output constraints for photovoltaic and wind power are as follows:
[0052]
[0053] Unplanned reduction constraints for solar and wind power generation are as follows:
[0054]
[0055] in, and These are the predicted power outputs for wind power and photovoltaic power generation, respectively.
[0056] The constraints on the objective function mentioned above also include alternative constraints, specifically:
[0057] The standby constraints for thermal power units are as follows:
[0058]
[0059] in, and These represent the unit's uphill and downhill climbing capabilities, respectively; ΔT represents the dispatch time interval. and These are the upward and downward reserve capacities provided by thermal power plants; P g,t It is the output of the thermal power unit; P g,min and P g,max These are the minimum and maximum limits for power output, respectively.
[0060] The constraints on electrical energy storage backup are as follows:
[0061]
[0062] Among them, E s,t E s,min E s,max These are the charging status, lower battery level, and upper battery level; η c and η d These are the charging and discharging efficiencies, respectively; P s,t This is the energy storage power output; a positive value indicates discharging, and a negative value indicates charging. and These are the limits on energy storage charging and discharging power, respectively. and These refer to the upward and downward backup capacities of the energy storage unit, respectively.
[0063] The above determines the total electrical power P of the electrolytic aluminum load. t AI The electrolytic aluminum load operation model is shown below:
[0064]
[0065] The corresponding restrictions include:
[0066] (1) Power limitations of electrolytic aluminum
[0067]
[0068] Among them, P i AI,rated and These are the rated power and adjustable power of the electrolytic aluminum load, respectively. and These are the upper and lower limits of the adjustable power, respectively; This is the regulation state variable of the electrolytic aluminum load; 1 indicates power regulation state, and 0 indicates normal operation state; N AI This represents the number of electrolytic aluminum production lines; M is a large constant.
[0069] (2) Adjusting time limits, including:
[0070] Limitations on the maximum duration of electrolytic aluminum load adjustment:
[0071]
[0072] Limitations on minimum adjustment time interval:
[0073]
[0074] in, This is the maximum adjustment duration of the electrolytic aluminum load; and These represent the cumulative normal working time and the minimum adjustment interval time, respectively.
[0075] (3) Limit on the number of adjustments
[0076]
[0077] in, This is the maximum number of times the adjustment can occur;
[0078] (4) Limitations on electrolytic aluminum production
[0079]
[0080] Where, θ AI It is the output corresponding to a unit of electricity; This is the minimum production volume of electrolytic aluminum required to meet order demands.
[0081] The above determines the total power consumption of the polysilicon load. The polycrystalline silicon load operation model is shown below:
[0082]
[0083] in, is the state variable of the polycrystalline silicon load reduction furnace, where 1 indicates that the reduction furnace is working within the time period t; and These are the power consumptions of the reduction furnace and auxiliary equipment, respectively; N SI This refers to the number of reduction furnaces with polysilicon load;
[0084] The corresponding restrictions include:
[0085] (1) Operating status restrictions, including:
[0086] The relationship between the operating status of the reduction furnace and the start-up and shutdown variables;
[0087]
[0088] Minimum operating time and minimum downtime limits for the reduction furnace;
[0089]
[0090] Restrictions on the start-up sequence of the reduction furnace;
[0091]
[0092] in, and These are the start-up and shutdown variables for reduction furnace n, respectively. When both are 1, it indicates that the reduction furnace starts up and shuts down within the time period t, respectively. and These are the minimum operating and downtime times for the reduction furnace;
[0093] (2) Polysilicon load production limit
[0094]
[0095] Where, η SI This is the power consumption per unit of product during the restoration process; and c SI These are the polysilicon production during time period t and the total daily production, respectively. and These are the minimum and maximum production limits for polysilicon, respectively.
[0096] (3) Hydrogen consumption restrictions
[0097]
[0098] in, η is the amount of hydrogen consumed during time period t; SI This is the hydrogen consumption per unit of polycrystalline silicon product.
[0099] The above-mentioned acquisition of current basic data of the integrated source-grid-load-storage system, solving the coordinated operation model of the integrated source-grid-load-storage system, and forming the operation plan of the integrated source-grid-load-storage system include:
[0100] Based on the parameter types of the integrated source-grid-load-storage system coordinated operation model, obtain the current basic data of the integrated source-grid-load-storage system;
[0101] Input the current basic data of the integrated source-grid-load-storage system into the coordinated operation model of the integrated source-grid-load-storage system, and solve the objective function;
[0102] To obtain the optimal model parameters for the objective function, the operation scheme of the integrated source-grid-load-storage system is determined. The operation scheme of the integrated source-grid-load-storage system includes the power consumption plan for electrolytic aluminum load, the power consumption plan for polysilicon load and the start-up and shutdown plan for reduction furnace, the power generation plan for thermal power units, the power generation plan for wind power and photovoltaic power generation, the power purchase plan from the main grid, the hydrogen production plan for electrolytic cells, and the charging / discharging plan for electric energy storage and hydrogen energy storage.
[0103] The second technical solution of the present invention is achieved through the following measures: a source-load-storage integrated system coordinated operation device that considers flexible adjustment of high-energy-consuming industrial loads, comprising:
[0104] The model building unit establishes a coordinated operation model for the integrated source-grid-load-storage system, including:
[0105] An objective function is established with the goal of minimizing the overall cost, which includes the total operating cost of thermal power units, the total start-up and shutdown cost of thermal power units, the penalty cost for renewable energy curtailment, and the cost of purchasing electricity and selling hydrogen. The objective function is shown below:
[0106]
[0107] Among them, C g,t It is the operating cost of thermal power units; a g b g c g It is the power generation cost coefficient of thermal power units; P g,t Power output of thermal power units; It is the cost of starting and stopping thermal power units; c u,g and c d,g These are the start-up cost and shutdown cost of a thermal power unit, respectively; g,t and z g,t These are the start-up and shutdown variables of thermal power units; and These are the abandoned power from wind power and solar power, respectively; λ re It is the penalty cost coefficient when renewable energy is forced to be reduced; λ net,t and These are the prices of electricity purchased from the main grid and the selling price of hydrogen; P t net Electricity is purchased from the main grid; It represents the power of hydrogen energy sold; T is the number of dispatch cycles; N is the power of hydrogen energy sold. g This refers to the number of thermal power units.
[0108] The objective function is constructed based on the constraints of source-load-storage resource operation and power and hydrogen balance constraints combined with the high energy-consuming industrial loads, where the high energy-consuming industrial loads include the electrolytic aluminum industrial load and the polysilicon industrial load.
[0109] The operation scheme solution unit obtains the current basic data of the integrated source-grid-load-storage system, solves the coordinated operation model of the integrated source-grid-load-storage system, and forms the operation scheme of the integrated source-grid-load-storage system.
[0110] The following are further optimizations and / or improvements to the above-mentioned technical solution:
[0111] The above-mentioned solution unit includes:
[0112] The data acquisition module acquires the current basic data of the integrated source-grid-load-storage system based on the parameter types of the integrated source-grid-load-storage system coordinated operation model.
[0113] The optimization solution module inputs the current basic data of the integrated source-grid-load-storage system into the coordinated operation model of the integrated source-grid-load-storage system to solve the objective function;
[0114] The operation plan formulation module obtains the model parameters when the objective function is optimal, and determines the operation plan of the integrated source-grid-load-storage system. The operation plan of the integrated source-grid-load-storage system includes the power consumption plan of electrolytic aluminum load, the power consumption plan of polysilicon load and the start-up and shutdown plan of reduction furnace, the power generation plan of thermal power unit, the power generation plan of wind power and photovoltaic power generation, the power purchase plan from the main grid, the hydrogen production plan of electrolytic cell, and the charging / discharging plan of electric energy storage and hydrogen energy storage.
[0115] The third technical solution of the present invention is achieved through the following measures: an electronic device, characterized in that it includes a processor and a memory, wherein the memory stores a computer program, and the computer program is loaded and executed by the processor to implement the steps in the coordinated operation method of the source-load-storage integrated system that takes into account the flexible adjustment of high-energy-consuming industrial loads.
[0116] The fourth technical solution of the present invention is achieved through the following measures: a storage medium, characterized in that the storage medium stores a computer program that can be read by a computer, the computer program being configured to execute the steps in the source-load-storage integrated system coordinated operation method that takes into account the flexible adjustment of high-energy-consuming industrial loads when running.
[0117] Compared to the coordinated operation method of the integrated source-load-storage system that only considers the joint operation of new energy and energy storage, this invention fully utilizes the regulation potential of high-energy-consuming industrial loads such as electrolytic aluminum and polysilicon (i.e., energy-intensive industrial loads). Taking into account the constraints of electricity and hydrogen balance as well as the operational constraints of source-load-storage resources, and with the goal of minimizing the overall cost, it establishes a coordinated operation model for the integrated source-grid-load-storage system. By coordinating and complementing wind, solar, thermal, and energy storage with typical high-energy-consuming industrial loads, it fully explores the system's flexibility and demand-side resources, forming an operation scheme for the integrated source-grid-load-storage system. This reduces the curtailment of new energy, increases the absorption rate, and improves the power supply and demand balance and the utilization level of new energy. Attached Figure Description
[0118] Appendix Figure 1 A schematic diagram of the coordinated operation method of the integrated source-load-storage system provided by the present invention.
[0119] Appendix Figure 2 A schematic diagram of the process for forming the operation scheme of the integrated source-grid-load-storage system provided by the present invention.
[0120] Appendix Figure 3 A schematic diagram of the structure of the integrated source-load-storage system coordinated operation device provided by the present invention. Detailed Implementation
[0121] The present invention is not limited to the following embodiments, and the specific implementation can be determined according to the technical solution of the present invention and the actual situation.
[0122] Those skilled in the art will understand that, unless specifically stated otherwise, in the embodiments of the present invention, a "module" or "unit" refers to a computer program or part of a computer program with a predetermined function, which works together with other related parts to achieve a predetermined goal, and can be implemented wholly or partially using software, hardware (such as processing circuitry or memory), or a combination thereof. Similarly, a processor (or multiple processors or memory) can be used to implement one or more modules or units. Furthermore, each module or unit can be part of an overall module or unit that includes the functionality of that module or unit.
[0123] In addition, in the embodiments of the present invention, "multiple" refers to two or more, and "first" and "second" are used to distinguish descriptions and should not be construed as implying relative importance.
[0124] This invention provides a method, apparatus, electronic device, and storage medium for the coordinated operation of an integrated source-load-storage system that considers flexible adjustment of high-energy-consuming industrial loads. This integrated source-load-storage system coordinated operation apparatus, which considers flexible adjustment of high-energy-consuming industrial loads, can be integrated into a computer device, which can be a server, a terminal, or other similar device; it can also be executed jointly by a terminal and a server. The above examples should not be construed as limiting the invention.
[0125] The aforementioned terminals may include mobile phones, wearable smart devices, tablet computers, laptops, personal computers (PCs), and in-vehicle computers, etc., and this invention does not limit them. This invention also does not limit the number of terminal devices.
[0126] The aforementioned server can be an independent physical server, a server cluster or distributed system composed of multiple physical servers, or a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, CDN, and big data and artificial intelligence platforms. This invention does not limit these features.
[0127] For example, computer equipment establishes a coordinated operation model for an integrated power generation, grid, load, and storage system, including: establishing an objective function with the goal of minimizing overall cost, where overall cost includes the total operating cost of thermal power units, the total start-up and shutdown cost of thermal power units, the cost of renewable energy curtailment penalties, and the cost of purchasing electricity and selling hydrogen; constructing constraints on the objective function based on the constraints of power generation, load, and storage resource operation combined with the constraints of power and hydrogen balance, where high energy-consuming industrial loads include electrolytic aluminum industry loads and polysilicon industry loads; obtaining the current basic data of the integrated power generation, grid, load, and storage system; solving the coordinated operation model of the integrated power generation, grid, load, and storage system; and forming an operation plan for the integrated power generation, grid, load, and storage system.
[0128] Based on this, the technical solution of the present invention will be described and explained below with reference to several examples.
[0129] Example 1: As shown in the attached document Figure 1 As shown, this invention discloses a method for coordinated operation of an integrated source-load-storage system that considers flexible adjustment of high-energy-consuming industrial loads, comprising:
[0130] Step S110: Establish a coordinated operation model for the integrated source-grid-load-storage system, including:
[0131] An objective function is established with the goal of minimizing the overall cost, which includes the total operating cost of thermal power units, the total start-up and shutdown cost of thermal power units, the penalty cost for renewable energy curtailment, and the cost of purchasing electricity and selling hydrogen. The objective function is shown below:
[0132]
[0133] Among them, C g,t It is the operating cost of thermal power units; a g b g c g It is the power generation cost coefficient of thermal power units; P g,t It is the output of thermal power units; It is the cost of starting and stopping thermal power units; c u,g and c d,g These are the start-up cost and shutdown cost of a thermal power unit, respectively; g,t and z g,t These are the start-up and shutdown variables of thermal power units; and These are the abandoned power from wind power and solar power, respectively; λ re It is the penalty cost coefficient when renewable energy is forced to be reduced; λ net,t and These are the prices of electricity purchased from the main grid and the selling price of hydrogen; P t net Electricity is purchased from the main grid; It represents the power of hydrogen energy sold; T is the number of dispatch cycles; N is the power of hydrogen energy sold. g This refers to the number of thermal power units.
[0134] The objective function is constructed based on the constraints of source-load-storage resource operation and power and hydrogen balance constraints combined with the high energy-consuming industrial loads, where the high energy-consuming industrial loads include the electrolytic aluminum industrial load and the polysilicon industrial load.
[0135] Step S120: Obtain the current basic data of the integrated source-grid-load-storage system, solve the coordinated operation model of the integrated source-grid-load-storage system, and form the operation plan of the integrated source-grid-load-storage system.
[0136] This invention discloses a method for coordinated operation of an integrated source-load-storage system that considers flexible adjustment of high-energy-consuming industrial loads. Compared with the method that only considers the joint operation of new energy and energy storage, this invention fully utilizes the adjustment potential of high-energy-consuming industrial loads (i.e., energy-intensive industrial loads), takes into account the constraints of electricity and hydrogen balance as well as the operational constraints of source-load-storage resources, and establishes a coordinated operation model for an integrated source-grid-load-storage system with the goal of minimizing overall cost. Thus, through the coordinated complementarity of wind, solar, thermal, and energy storage and typical high-energy-consuming industrial loads, an operation scheme for an integrated source-grid-load-storage system is formed, improving the power supply and demand balance capability and the utilization level of new energy.
[0137] Example 2: This embodiment of the invention is a further optimization of the above embodiment, wherein the constraints of the objective function include:
[0138] (i) System operation constraints, namely power balance constraints, aim to achieve a balance between power supply and demand in the integrated power generation, grid, load and storage system;
[0139]
[0140] Among them, P wind,t and P pv,t These are wind power generation and photovoltaic power generation during time period t; P s,t This is the energy storage power output; a positive value indicates discharging, and a negative value indicates charging; P t AI It is the total electrical power consumption of the electrolytic aluminum load; P t SI This is the total power consumption of the polycrystalline silicon load; N is the electricity consumed by electrolyzer k in producing hydrogen during time period t; s and N k These are the numbers of electrical energy storage units and hydrogen refueling equipment, respectively; P t net It involves purchasing electricity from the main grid, which is subject to power supply restrictions from the large power grid;
[0141] Furthermore, this embodiment may also include a system backup capacity constraint, as shown in the following formula:
[0142]
[0143] in, and These refer to the upward and downward reserve capacity provided by thermal power plants; and These are the upward and downward reserve capacities of the energy storage unit, respectively; υ is the reserve factor based on the predicted power of new energy sources.
[0144] The above introduces P into the system operation constraints. t AI and P t SI This means fully utilizing the adjustment potential of energy-intensive industrial loads such as electrolytic aluminum and polysilicon, enabling these energy-intensive industries to "use electricity flexibly," and coordinating and complementing wind, solar, thermal, and energy storage to form an integrated operation scheme of source, grid, load, and storage system, thereby improving the power supply and demand balance and the utilization level of new energy.
[0145] (ii) Constraints on thermal power plant operation, including:
[0146] (1) Thermal power output constraint, as shown in the following formula:
[0147] x g,t P g,min ≤P g,t ≤x g,t P g,max
[0148] Where, x g,t This indicates the operating status of the thermal power unit; 1 represents normal operation, and 0 represents shutdown. g,min and P g,max These are the minimum and maximum limits for power output, respectively.
[0149] (2) Constraints on the operating status of thermal power plants are as follows:
[0150] y g,t -z g,t =x g,t -x g,t-1
[0151] The above describes the relationship between startup variables, shutdown variables, and committed states;
[0152] y g,t +z g,t ≤1
[0153] The above describes the inability of thermal power units to operate simultaneously in both start-up and shutdown states;
[0154] (3) Start-up and shutdown time constraints for thermal power units are as follows:
[0155]
[0156] in, and These refer to the unit's continuous operating time and continuous downtime, respectively. and These are the minimum operating and downtime of the unit, respectively.
[0157] (4) The ramping constraint of thermal power units is as follows:
[0158]
[0159] in, and These represent the unit's uphill and downhill climbing capabilities, respectively; ΔT represents the dispatch time interval.
[0160] Furthermore, this embodiment may also include a backup constraint for the thermal power unit, as shown below:
[0161]
[0162] (III) Constraints on the operation of electric energy storage, including:
[0163] (1) Energy storage capacity constraints, as shown below:
[0164]
[0165] E s,min ≤E s,t ≤E s,max
[0166] E s,T =E s,0
[0167] Among them, E s,t E s,min E s,max These are the charging status, lower battery level, and upper battery level; η c and η d These are charging and discharging efficiency, respectively. and These represent charging and discharging power, respectively.
[0168] (2) Constraints on the output of electrical energy storage, as shown below:
[0169]
[0170] in, and These are the limits on energy storage charging and discharging power, respectively. and These are the state variables for charging and discharging, respectively;
[0171] Furthermore, this embodiment may also include an electrical energy storage backup constraint, as shown below:
[0172]
[0173] Considering the limitations of charging / discharging power and capacity, the above formulas respectively represent the upward and downward reserve capacity constraints taking into account the energy storage capacity limitations;
[0174] (iv) Operating constraints of hydrogen energy equipment, including:
[0175] (1) Electrolytic cell operating constraints, as shown below:
[0176]
[0177] in, This is the power consumption of electrolytic cell k; It represents the operating status of the electrolytic cell during time period t; and These are the minimum and maximum power requirements for electrolytic cell k, respectively; It is a climbing limitation; η TH It is the power consumption coefficient for the production of one unit of hydrogen.
[0178] (2) Operational constraints for hydrogen energy storage are as follows:
[0179]
[0180] in, Let t be the hydrogen storage capacity of the hydrogen storage device during time period t; and These are the minimum and maximum hydrogen storage capacities, respectively. and These represent hydrogen input and output, respectively; η IN,hs and η out,hs These are the hydrogen input and output efficiencies of the hydrogen storage device; and These are the hydrogen input and output state variables, respectively.
[0181] Since the hydrogen obtained from water electrolysis in the electrolyzer can be used to meet the hydrogen demand for polysilicon production; when there is a surplus of renewable energy power generation, the excess electricity can be converted into hydrogen and stored in hydrogen storage tanks, so that hydrogen energy beyond production demand can be sold to generate income, thereby establishing the above-mentioned electrolyzer operation constraints.
[0182] (3) Hydrogen energy balance constraints, as shown below:
[0183]
[0184] The hydrogen production from the electrolyzer and storage equipment together meets the hydrogen demand for polysilicon production and sales; when hydrogen is plentiful, it is stored in the hydrogen storage equipment; when renewable energy is scarce, the hydrogen output from the storage equipment meets the demand; thus establishing the above constraints.
[0185] (v) Wind power output constraints, including:
[0186] The power output constraints for photovoltaic and wind power are as follows:
[0187]
[0188] Unplanned reduction constraints for solar and wind power generation are as follows:
[0189]
[0190] in, and These are the predicted power outputs for wind power and photovoltaic power generation, respectively.
[0191] Example 3: This embodiment of the invention is a further optimization of the above embodiments, wherein the total electrical power P of the electrolytic aluminum load is determined. t AI The electrolytic aluminum load operation model is shown below:
[0192]
[0193] The corresponding restrictions mentioned above include:
[0194] (1) Power limitations of electrolytic aluminum
[0195]
[0196] Among them, P i AI,rated and These are the rated power and adjustable power of the electrolytic aluminum load, respectively. and These are the upper and lower limits of the adjustable power, respectively; This is the regulation state variable of the electrolytic aluminum load; 1 indicates power regulation state, and 0 indicates normal operation state; N AI This represents the number of electrolytic aluminum production lines; M is a large constant.
[0197] (2) Adjustment time limit: In order to ensure the safe operation of the equipment and product quality, the adjustment time and frequency of the electrolytic cell should be limited;
[0198] Limitations on the maximum duration of electrolytic aluminum load adjustment:
[0199]
[0200] Limitations on minimum adjustment time interval:
[0201]
[0202] in, This is the maximum adjustment duration of the electrolytic aluminum load; and These represent the cumulative normal working time and the minimum adjustment interval time, respectively.
[0203] (3) Adjustment frequency limit, that is, the constraint on the number of adjustments that can occur during the scheduling period;
[0204]
[0205] in, This is the maximum number of times the adjustment can occur;
[0206] (4) Limitations on electrolytic aluminum production
[0207]
[0208] Where, θ AI It is the output corresponding to a unit of electricity; This is the minimum production volume of electrolytic aluminum required to meet order demands.
[0209] Currently, electrolytic aluminum loads consume a large amount of electricity, making them typical energy-intensive industrial loads with good regulation capabilities. Electrolytic aluminum production has a relatively large inertial time constant, meaning that short-term reductions or increases in power consumption have no significant impact on the production process. Therefore, while ensuring operational safety, it can provide good regulation capabilities for the power system. Thus, this embodiment, considering the operating characteristics of electrolytic aluminum loads, establishes an electrolytic aluminum load operation model to determine the total power consumption of the electrolytic aluminum load at a given time.
[0210] Example 4: This embodiment of the invention is a further optimization of the above embodiments, wherein the total power consumption P of the polysilicon load is determined. t SI The polycrystalline silicon load operation model is shown below:
[0211]
[0212] in, is the state variable of the polycrystalline silicon load reduction furnace, where 1 indicates that the reduction furnace is working within the time period t; and These are the power consumptions of the reduction furnace and auxiliary equipment, respectively; N SI This refers to the number of reduction furnaces with polysilicon load;
[0213] Since the production of the reduction furnace in the polysilicon load is the main part of the power consumption, the rest is regarded as auxiliary operating load, thus constructing the above formula.
[0214] The corresponding restrictions mentioned above include:
[0215] (1) Operating status restrictions, including:
[0216] The relationship between the operating status of the reduction furnace and the start-up and shutdown variables;
[0217]
[0218] Minimum operating time and minimum downtime limits for the reduction furnace;
[0219]
[0220] Restrictions on the start-up sequence of the reduction furnace;
[0221]
[0222] in, and These are the start-up and shutdown variables for reduction furnace n, respectively. When both are 1, it indicates that the reduction furnace starts up and shuts down within the time period t, respectively. and These are the minimum operating and downtime times for the reduction furnace;
[0223] (2) Polysilicon load production limit
[0224]
[0225] Where, η SI This is the power consumption per unit of product during the restoration process; and c SI These are the polysilicon production during time period t and the total daily production, respectively. and These are the minimum and maximum production limits for polycrystalline silicon, respectively.
[0226] (3) Hydrogen consumption restrictions
[0227]
[0228] in, η is the amount of hydrogen consumed during time period t; SI This is the hydrogen consumption per unit of polycrystalline silicon product.
[0229] Example 5: This embodiment of the invention is a further optimization of the above embodiments, wherein the current basic data of the integrated source-grid-load-storage system is obtained, the coordinated operation model of the integrated source-grid-load-storage system is solved, and the operation scheme of the integrated source-grid-load-storage system is formed, including:
[0230] Step S210: Based on the parameter types of the integrated source-grid-load-storage system coordinated operation model, obtain the current basic data of the integrated source-grid-load-storage system. The basic data includes the load power and output of the electrolytic aluminum load, the adjustable power and adjustment time, the number of adjustments, the load power and output of the polysilicon load, the number of reduction furnaces, the working time of the reduction furnace, etc.
[0231] Step S220: Input the current basic data of the integrated source-grid-load-storage system into the integrated source-grid-load-storage system coordinated operation model and solve the objective function;
[0232] The method for solving the objective function in this step can be set according to the requirements. In this embodiment, the commercial solver Gurobi can be called using the MATLAB platform for optimization.
[0233] Step S230: Obtain the model parameters when the objective function is optimal, and determine the operation plan of the integrated source-grid-load-storage system. The operation plan of the integrated source-grid-load-storage system includes the power consumption plan of the electrolytic aluminum load, the power consumption plan of the polysilicon load and the start-up and shutdown plan of the reduction furnace, the power generation plan of the thermal power unit, the power generation plan of wind power and photovoltaic power generation, the power purchase plan from the main grid, the hydrogen production plan of the electrolytic cell, and the charging / discharging plan of the electric energy storage and hydrogen energy storage.
[0234] In this step, the formation method of the operation scheme of the integrated source-grid-load-storage system can be set as needed. In this embodiment, it can be set according to the pre-set various planning rules or templates, and the model parameters when the objective function is optimal can be set.
[0235] Example 6: As attached Figure 3 As shown, this embodiment of the invention discloses a coordinated operation device for an integrated source-load-storage system that considers flexible adjustment of high-energy-consuming industrial loads, comprising:
[0236] The model building unit establishes a coordinated operation model for the integrated source-grid-load-storage system, including:
[0237] An objective function is established with the goal of minimizing the overall cost, which includes the total operating cost of thermal power units, the total start-up and shutdown cost of thermal power units, the penalty cost for renewable energy curtailment, and the cost of purchasing electricity and selling hydrogen. The objective function is shown below:
[0238]
[0239] Among them, C g,t It is the operating cost of thermal power units; ag b g c g It is the power generation cost coefficient of thermal power units; P g,t Power output of thermal power units; It is the cost of starting and stopping thermal power units; c u,g and c d,g These are the start-up cost and shutdown cost of a thermal power unit, respectively; g,t and z g,t These are the start-up and shutdown variables of thermal power units; and These are the abandoned power from wind power and solar power, respectively; λ re It is the penalty cost coefficient when renewable energy is forced to be reduced; λ net,t and These are the prices of electricity purchased from the main grid and the selling price of hydrogen; P t net Electricity is purchased from the main grid; It represents the power of hydrogen energy sold; T is the number of dispatch cycles; N is the power of hydrogen energy sold. g This refers to the number of thermal power units.
[0240] The objective function is constructed based on the constraints of source-load-storage resource operation and power and hydrogen balance constraints combined with the high energy-consuming industrial loads, where the high energy-consuming industrial loads include the electrolytic aluminum industrial load and the polysilicon industrial load.
[0241] The operation scheme solution unit obtains the current basic data of the integrated source-grid-load-storage system, solves the coordinated operation model of the integrated source-grid-load-storage system, and forms the operation scheme of the integrated source-grid-load-storage system.
[0242] In this embodiment of the invention, the specific content of the integrated source-grid-load-storage system coordinated operation model established by the model building unit is the same as that described in the method embodiment, and will not be repeated here.
[0243] The solution unit for the operational plan includes:
[0244] The data acquisition module acquires the current basic data of the integrated source-grid-load-storage system based on the parameter types of the integrated source-grid-load-storage system coordinated operation model. The basic data includes the load power and output of electrolytic aluminum load, adjustable power and adjustment time, adjustment times, load power and output of polysilicon load, number of reduction furnaces, and working time of reduction furnaces.
[0245] The optimization solution module inputs the current basic data of the integrated source-grid-load-storage system into the coordinated operation model of the integrated source-grid-load-storage system to solve the objective function. The method for solving the objective function in this module can be set according to the requirements. In this embodiment, the commercial solver Gurobi can be called using the MATLAB platform for optimization solution.
[0246] The operation plan formulation module obtains the model parameters when the objective function is optimal, and determines the operation plan of the integrated source-grid-load-storage system. The operation plan of the integrated source-grid-load-storage system includes the power consumption plan of electrolytic aluminum load, the power consumption plan of polysilicon load and the start-up and shutdown plan of reduction furnace, the power generation plan of thermal power unit, the power generation plan of wind power and photovoltaic power generation, the power purchase plan from the main grid, the hydrogen production plan of electrolytic cell, and the charging / discharging plan of electric energy storage and hydrogen energy storage.
[0247] Example 7: This embodiment of the invention discloses a storage medium storing a computer program that can be read by a computer. The computer program is configured to execute a source-load-storage integrated system coordinated operation method that takes into account the flexible adjustment of high-energy-consuming industrial loads when running.
[0248] The aforementioned storage media may include, but are not limited to, USB flash drives, read-only memory, portable hard drives, magnetic disks, optical disks, and other media capable of storing computer programs.
[0249] Example 8: This embodiment of the invention discloses an electronic device, including a processor and a memory. The memory stores a computer program, which is loaded and executed by the processor to realize a coordinated operation method for an integrated source-load-storage system that takes into account the flexible adjustment of high-energy-consuming industrial loads.
[0250] The processor described above can be a central processing unit (CPU), a general-purpose processor, a digital signal processor (DSP), an ASIC, an FPGA, or other programmable logic devices, transistor logic devices, hardware components, or any combination thereof. It can implement or execute the various exemplary logic blocks, modules, and circuits described in conjunction with the disclosure of this invention. It can also be a combination that implements computational functions, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, etc. The memory can include, but is not limited to, various media capable of storing computer programs, such as USB flash drives, read-only memory, portable hard drives, magnetic disks, or optical disks.
[0251] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code. The solutions in the embodiments of the present invention can be implemented using various computer languages, such as the object-oriented programming language Java and the interpreted scripting language JavaScript.
[0252] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.
[0253] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.
[0254] The above content is only a specific embodiment of the present invention, which has strong adaptability and implementation effect. However, the protection scope of the present invention is not limited thereto. Any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present invention should be covered within the protection scope of the present invention. Therefore, equivalent changes made in accordance with the claims of the present invention are still within the scope of the present invention.
Claims
1. A method for coordinated operation of an integrated source-load-storage system considering flexible adjustment of high-energy-consuming industrial loads, characterized in that, include: Establish a coordinated operation model for the integrated power generation, grid, load, and storage system, including: An objective function is established with the goal of minimizing the overall cost, which includes the total operating cost of thermal power units, the total start-up and shutdown cost of thermal power units, the penalty cost for renewable energy curtailment, and the cost of purchasing electricity and selling hydrogen. The objective function is shown below: Among them, C g,t It is the operating cost of thermal power units; a g b g c g It is the power generation cost coefficient of thermal power units; P g,t It is the output of thermal power units; It is the cost of starting and stopping thermal power units; c u,g and c d,g These are the start-up cost and shutdown cost of a thermal power unit, respectively; g,t and z g,t These are the start-up and shutdown variables of thermal power units; and These are the abandoned power from wind power and solar power, respectively; λ re It is the penalty cost coefficient when renewable energy is forced to be reduced; λ net,t and These are the prices of electricity purchased from the main grid and the selling price of hydrogen; P t net Electricity is purchased from the main grid; It represents the power of hydrogen energy sold; T is the number of dispatch cycles; N is the power of hydrogen energy sold. g This refers to the number of thermal power units. The objective function is constructed based on the constraints of source-load-storage resource operation and power and hydrogen balance constraints combined with the high energy-consuming industrial loads, where the high energy-consuming industrial loads include the electrolytic aluminum industrial load and the polysilicon industrial load. Obtain the current basic data of the integrated source-grid-load-storage system, solve the coordinated operation model of the integrated source-grid-load-storage system, and form the operation plan of the integrated source-grid-load-storage system.
2. The method for coordinated operation of an integrated source-load-storage system considering flexible adjustment of high-energy-consuming industrial loads as described in claim 1, characterized in that, The constraints on the objective function include: (I) System operation constraints: P t net ≥0 Among them, P wind,t and P pv,t These are wind power generation and photovoltaic power generation during time period t; P s,t This is the energy storage power output; a positive value indicates discharging, and a negative value indicates charging; P t AI It is the total electrical power consumption of the electrolytic aluminum load; P t SI This is the total power consumption of the polycrystalline silicon load; N is the electricity consumed by electrolyzer k in producing hydrogen during time period t; s and N k These are the numbers of electrical energy storage units and hydrogen refueling equipment, respectively; P t net It involves purchasing electricity from the main grid, which is subject to power supply restrictions from the large power grid; (ii) Constraints on thermal power plant operation, including: (1) Thermal power output constraint, as shown in the following formula: x g,t P g,min ≤P g,t ≤x g,t P g,max Where, x g,t This indicates the operating status of the thermal power unit; 1 represents normal operation, and 0 represents shutdown. g,min and P g,max These are the minimum and maximum limits for power output, respectively. (2) Constraints on the operating status of thermal power plants are as follows: y g,t -z g,t =x g,t -x g,t-1 The above describes the relationship between startup variables, shutdown variables, and committed states; y g,t +z g,t ≤1 The above describes the inability of thermal power units to operate simultaneously in both start-up and shutdown states; (3) Start-up and shutdown time constraints for thermal power units are as follows: in, and These refer to the unit's continuous operating time and continuous downtime, respectively. and These are the minimum operating and downtime of the unit, respectively. (4) The ramping constraint of thermal power units is as follows: in, and These represent the unit's uphill and downhill climbing capabilities, respectively; ΔT represents the dispatch time interval. (III) Constraints on the operation of electric energy storage, including: (1) Energy storage capacity constraints, as shown below: AND s,min ≤E s,t ≤E s,max AND s,T =And s,0 Among them, E s,t E s,min E s,max These are the charging status, lower battery level, and upper battery level; η c and η d These are charging and discharging efficiency, respectively. and These represent charging and discharging power, respectively. (2) Constraints on the output of electrical energy storage, as shown below: in, and These are the limits on energy storage charging and discharging power, respectively. and These are the state variables for charging and discharging, respectively; (iv) Operating constraints of hydrogen energy equipment, including: (1) Electrolytic cell operating constraints, as shown below: in, This is the power consumption of electrolytic cell k; It represents the operating status of the electrolytic cell during time period t; and These represent the minimum and maximum power requirements of electrolytic cell k, respectively. It is a climbing limitation; η TH It is the power consumption coefficient for the production of one unit of hydrogen. (2) Operational constraints for hydrogen energy storage are as follows: in, Let t be the hydrogen storage capacity of the hydrogen storage device during time period t; and These are the minimum and maximum hydrogen storage capacities, respectively. and These are hydrogen input and output, respectively; η IN,hs and η out,hs These are the hydrogen input and output efficiencies of the hydrogen storage device; and These are the hydrogen input and output state variables, respectively. (3) Hydrogen energy balance constraints, as shown below: (v) Wind power output constraints, including: The power output constraints for photovoltaic and wind power are as follows: Unplanned reduction constraints for solar and wind power generation are as follows: in, and These are the predicted power outputs for wind power and photovoltaic power generation, respectively.
3. The method for coordinated operation of an integrated source-load-storage system considering flexible adjustment of high-energy-consuming industrial loads as described in claim 2, characterized in that, The constraints on the objective function also include alternative constraints, specifically: The standby constraints for thermal power units are as follows: in, and These represent the unit's uphill and downhill climbing capabilities, respectively; ΔT represents the dispatch time interval. and These are the upward and downward reserve capacities provided by thermal power plants; P g,t It is the output of the thermal power unit; P g,min and P g,max These are the minimum and maximum limits for power output, respectively. The constraints on electrical energy storage backup are as follows: Among them, E s,t E s,min E s,max These are the charging status, lower battery level, and upper battery level; η c and η d These are the charging and discharging efficiencies, respectively; P s,t This is the energy storage power output; a positive value indicates discharging, and a negative value indicates charging. and These are the limits on energy storage charging and discharging power, respectively. and These refer to the upward and downward backup capacities of the energy storage unit, respectively.
4. The method for coordinated operation of an integrated source-load-storage system considering flexible adjustment of high-energy-consuming industrial loads according to any one of claims 1 to 3, characterized in that, Determine the total electrical power P of the electrolytic aluminum load. t AI The electrolytic aluminum load operation model is shown below: The corresponding restrictions include: (1) Power limitations of electrolytic aluminum Among them, P i AI,rated and These are the rated power and adjustable power of the electrolytic aluminum load, respectively. and These are the upper and lower limits of the adjustable power, respectively; This is the regulation state variable of the electrolytic aluminum load; 1 indicates power regulation state, and 0 indicates normal operation state; N AI This represents the number of electrolytic aluminum production lines; M is a large constant. (2) Adjusting time limits, including: Limitations on the maximum duration of electrolytic aluminum load adjustment: Limitations on minimum adjustment time interval: in, This is the maximum adjustment duration of the electrolytic aluminum load; and These represent the cumulative normal working time and the minimum adjustment interval time, respectively. (3) Adjustment frequency limit in, This is the maximum number of times the adjustment can occur; (4) Limitations on the production of electrolytic aluminum Where, θ AI It is the output corresponding to a unit of electricity; This is the minimum production volume of electrolytic aluminum required to meet order demands.
5. The method for coordinated operation of an integrated source-load-storage system considering flexible adjustment of high-energy-consuming industrial loads according to any one of claims 1 to 3, characterized in that, Determine the total power consumption P of the polysilicon load. t SI The polycrystalline silicon load operation model is shown below: in, is the state variable of the polycrystalline silicon load reduction furnace, where 1 indicates that the reduction furnace is working during the time period t; and These are the power consumptions of the reduction furnace and auxiliary equipment, respectively; N SI This refers to the number of reduction furnaces with polysilicon load; The corresponding restrictions include: (1) Operating status restrictions, including: The relationship between the operating status of the reduction furnace and the start-up and shutdown variables; Minimum operating time and minimum downtime limits for the reduction furnace; Restrictions on the start-up sequence of the reduction furnace; in, and These are the start-up and shutdown variables for reduction furnace n, respectively. When both are 1, it indicates that the reduction furnace starts up and shuts down within the time period t, respectively. and These are the minimum operating and downtime times for the reduction furnace; (2) Polysilicon load production limit Where, η SI This is the power consumption per unit of product during the restoration process; and c SI These are the polysilicon production during time period t and the total daily production, respectively. and These are the minimum and maximum production limits for polysilicon, respectively. (3) Hydrogen consumption restrictions in, η is the amount of hydrogen consumed during time period t; SI This is the hydrogen consumption per unit of polycrystalline silicon product.
6. The method for coordinated operation of an integrated source-load-storage system considering flexible adjustment of high-energy-consuming industrial loads according to any one of claims 1 to 5, characterized in that, Obtain the current basic data of the integrated power generation, grid, load, and storage system; solve the coordinated operation model of the integrated power generation, grid, load, and storage system; and formulate the operation plan of the integrated power generation, grid, load, and storage system, including: Based on the parameter types of the integrated source-grid-load-storage system coordinated operation model, obtain the current basic data of the integrated source-grid-load-storage system; Input the current basic data of the integrated source-grid-load-storage system into the coordinated operation model of the integrated source-grid-load-storage system, and solve the objective function; To obtain the optimal model parameters for the objective function, the operation scheme of the integrated source-grid-load-storage system is determined. The operation scheme of the integrated source-grid-load-storage system includes the power consumption plan for electrolytic aluminum load, the power consumption plan for polysilicon load and the start-up and shutdown plan for reduction furnace, the power generation plan for thermal power units, the power generation plan for wind power and photovoltaic power generation, the power purchase plan from the main grid, the hydrogen production plan for electrolytic cells, and the charging / discharging plan for electric energy storage and hydrogen energy storage.
7. A coordinated operation device for an integrated source-load-storage system that considers flexible adjustment of high-energy-consuming industrial loads, characterized in that, include: The model building unit establishes a coordinated operation model for the integrated source-grid-load-storage system, including: An objective function is established with the goal of minimizing the overall cost, which includes the total operating cost of thermal power units, the total start-up and shutdown cost of thermal power units, the penalty cost for renewable energy curtailment, and the cost of purchasing electricity and selling hydrogen. The objective function is shown below: Among them, C g,t It is the operating cost of thermal power units; a g b g c g It is the power generation cost coefficient of thermal power units; P g,t Power output of thermal power units; It is the cost of starting and stopping thermal power units; c u,g and c d,g These are the start-up cost and shutdown cost of a thermal power unit, respectively; g,t and z g,t These are the start-up and shutdown variables of thermal power units; and These are the abandoned power from wind power and solar power, respectively; λ re It is the penalty cost coefficient when renewable energy is forced to be reduced; λ net,t and These are the prices of electricity purchased from the main grid and the selling price of hydrogen; P t net Electricity is purchased from the main grid; It represents the power of hydrogen energy sold; T is the number of dispatch cycles; N is the power of hydrogen energy sold. g This refers to the number of thermal power units. The objective function is constructed based on the constraints of source-load-storage resource operation and power and hydrogen balance constraints combined with the high energy-consuming industrial loads, where the high energy-consuming industrial loads include the electrolytic aluminum industrial load and the polysilicon industrial load. The operation scheme solution unit obtains the current basic data of the integrated source-grid-load-storage system, solves the coordinated operation model of the integrated source-grid-load-storage system, and forms the operation scheme of the integrated source-grid-load-storage system.
8. The source-load-storage integrated system coordinated operation device considering flexible adjustment of high-energy-consuming industrial loads according to claim 7, characterized in that, The solution unit for the running scheme includes: The data acquisition module acquires the current basic data of the integrated source-grid-load-storage system based on the parameter types of the integrated source-grid-load-storage system coordinated operation model. The optimization solution module inputs the current basic data of the integrated source-grid-load-storage system into the coordinated operation model of the integrated source-grid-load-storage system to solve the objective function; The operation plan formulation module obtains the model parameters when the objective function is optimal, and determines the operation plan of the integrated source-grid-load-storage system. The operation plan of the integrated source-grid-load-storage system includes the power consumption plan of electrolytic aluminum load, the power consumption plan of polysilicon load and the start-up and shutdown plan of reduction furnace, the power generation plan of thermal power unit, the power generation plan of wind power and photovoltaic power generation, the power purchase plan from the main grid, the hydrogen production plan of electrolytic cell, and the charging / discharging plan of electric energy storage and hydrogen energy storage.
9. An electronic device, characterized in that, It includes a processor and a memory, wherein the memory stores a computer program, which is loaded and executed by the processor to implement the steps of the method as claimed in any one of claims 1 to 6.
10. A storage medium, characterized in that, The storage medium stores a computer program that can be read by a computer, the computer program being configured to execute the steps of the method as described in any one of claims 1 to 6 when it is run.