Polycrystalline silicon production line power control method considering transaction deviation and power abandoning

Abstract

The invention relates to a polycrystalline silicon production line power control method considering transaction deviation and power abandonment, and the method comprises the steps: dynamically improving the hydrogen production power of an electrolytic cell in a new energy consumption mode, and achieving the maximum local consumption of clean energy; in the deviation correction mode, reversely adjusting the hydrogen production power to enable the power purchase quantity of the power grid to return to a planned value; under the matched hydrogen storage optimal state mode, the hydrogen production power is dynamically adjusted according to the real-time stock of the hydrogen storage tank, the hydrogen supply stability of continuous production of the polycrystalline silicon production line is guaranteed, and economical efficiency, environmental protection performance and stability optimization can be guaranteed.

Description

Technical Field

[0001] This invention belongs to the field of polysilicon production control technology, and in particular, it is a power control method for polysilicon production lines that takes into account transaction deviations and power curtailment. Background Technology

[0002] Polysilicon, as a core raw material for the photovoltaic industry, has a production process characterized by high energy consumption and continuous operation, making it highly sensitive to the stability and cost of power supply. Driven by the "dual carbon" goal, polysilicon companies are actively introducing new energy sources such as wind power and photovoltaics to reduce carbon emissions. On the one hand, new energy power generation is highly volatile, and there is a mismatch between actual power supply and consumption. When new energy generation is high but the power load cannot absorb it, it will cause wind and solar curtailment, leading to the abandonment of new energy power. On the other hand, power users will also experience trading deviations due to load fluctuations and grid trading plans. When the trading deviation is too large, companies must pay high penalties for the deviated electricity. In traditional solutions, the grid relies on fossil fuel peak shaving or battery energy storage to achieve energy time shifting. However, this method only shifts the time of electricity and has problems such as high cost and limited capacity. Polysilicon production lines not only require a power supply, but hydrogen is also a raw material for its direct industrial applications. Therefore, hydrogen-electricity coupling can be used to make hydrogen a potential carrier for energy regulation in polysilicon production lines.

[0003] Current technologies have not effectively coordinated the fluctuations in renewable energy, electricity trading, and production line load characteristics, necessitating an intelligent control method that can dynamically balance the absorption of curtailed electricity, correction of trading deviations, and optimization of hydrogen storage. By converting waste electricity into hydrogen in real time, previously wasted renewable energy can be transformed into storable hydrogen resources. Simultaneously, precise control of grid power purchases can reduce trading deviation penalties, significantly lowering overall energy costs. By using a hydrogen storage and utilization system as a dynamic adjustment unit in a polysilicon production line, a coordinated control mechanism can be constructed for renewable energy generation, grid trading, and industrial load, providing technical support for the coupling model of green electricity-to-hydrogen production and polysilicon production.

[0004] The current technical solutions are mainly divided into three categories: (1) Single grid-dependent type, where the polysilicon production line is completely dependent on the power grid and the production plan is matched through traditional scheduling methods. Its advantages are stable operation and simple control; however, its disadvantages are that it cannot respond to new energy fluctuations, cannot utilize low-priced abandoned electricity resources, and has high long-term energy costs. (2) Independent energy storage matching type, where a battery energy storage system is configured on the production line side to discharge and supplement power supply when the output of new energy is low. Its advantages are fast response speed and smoothing short-term power fluctuations; however, its disadvantages are that the battery energy storage capacity is limited, the cost is high, the lifespan is short, it is difficult to cover long-term new energy fluctuations and trading cycles, and it cannot directly support the hydrogen demand of the production line. (3) Fixed hydrogen production control type, where electrolytic hydrogen production equipment is configured to consume surplus new energy, but a fixed power operation or simple start-stop strategy is adopted. Its advantages are that it can realize the consumption of some new energy; however, its disadvantages are that it lacks a linkage mechanism with the grid trading plan, cannot correct the power purchase deviation, and the hydrogen production load and hydrogen storage status are not dynamically optimized, which easily leads to empty or overflowing hydrogen storage tanks and low overall system efficiency. Existing technologies have failed to simultaneously address the synergistic issues of curtailment, trading deviation control, and hydrogen storage state optimization, and lack a multi-objective dynamic decision-making mechanism for polysilicon production line scenarios. Summary of the Invention

[0005] The purpose of this invention is to overcome the shortcomings of the prior art and propose a power control method for polysilicon production lines that considers trading deviation and power curtailment. Based on two technical indicators, the curtailment rate and trading deviation rate, the method triggers three operating modes: renewable energy consumption, deviation correction, and matching the optimal state of hydrogen storage. By dynamically controlling equipment such as the electro-hydrogen production device, the method achieves synergistic optimization of renewable energy consumption, reasonable grid trading, and the economics of hydrogen storage.

[0006] The technical problem solved by this invention is achieved through the following technical solution: A power control method for polysilicon production lines that considers trading deviations and power curtailment includes the following steps: Step 1: Obtain the current power output of new energy sources, planned power transactions, hydrogen storage tank inventory, polysilicon production line load, purchased power, and power consumption for hydrogen electrolysis at the current moment; Step 2: Calculate the transaction deviation rate and the power curtailment rate based on the data obtained in Step 1; Step 3: Determine if the curtailment rate is greater than the curtailment rate threshold. If it is, proceed to the renewable energy consumption mode and then proceed to step 6; otherwise, proceed to step 4. Step 4: Determine if the transaction deviation rate is greater than the transaction deviation threshold. If it is, use the deviation correction mode and proceed to step 6; otherwise, proceed to step 5. Step 5: Match the optimal state mode for hydrogen storage; Step 6: Calculate the energy storage tank state at the next moment; Step 7: Determine if the current time is... ,T The specified time period is the time period that needs to be controlled. If it is greater than the specified time period, return to step 1; otherwise, end the process.

[0007] Furthermore, the specific implementation method of step 1 is as follows: obtain the current time. t Real-time output of new energy P gen ( t ), planned electricity trading P sch ( t ) 、 Hydrogen storage tank inventory M H2 ( t Polysilicon production line load P si ( t Actual power purchased by the power grid P grid ( t ) 、 Power consumption of electrolysis hydrogen production system P H2 ( t ), calculate the total load of the system P load ( t )= P si ( t )+ P H2 ( t ).

[0008] Furthermore, step 2 calculates the transaction deviation rate. ΔP ( t and curtailment rate Q cut ( t The specific implementation method is as follows:

[0009] .

[0010] Furthermore, the specific implementation method of absorbing new energy sources, increasing hydrogen production load, and storing hydrogen in step 3 is as follows:

[0011] in, P H2,max This indicates the maximum hydrogen production capacity of the electrolyzer. or H2 Indicates hydrogen production efficiency. Δt Indicates the unit of time.

[0012] Furthermore, the specific implementation method of the deviation correction mode in step 4 is as follows: If the power grid purchases electricity P grid ( t ) >P sch ( t If this is the case, then the hydrogen production power of the electrolyzer will be reduced.

[0013] If the power grid purchases electricity P grid ( t ) <P sch ( t If this is increased, the hydrogen production capacity of the electrolyzer will be increased:

[0014] in, Δt For time step.

[0015] Furthermore, the specific implementation method of step 5 is as follows: when the wind curtailment rate... Q cut Less than or equal to the curtailment rate threshold or cut Transaction deviation rate ΔP t Less than or equal to the transaction deviation threshold or p At that time, the optimal hydrogen storage state mode is adopted:

[0016] in, M opt This indicates the optimal hydrogen storage capacity of the hydrogen storage tank. P H2_max This indicates the maximum power output of the electrolyzer for hydrogen production.

[0017] Furthermore, the specific implementation method of step 6 is as follows:

[0018] in, k 1 represents the amount of hydrogen consumed per unit of electricity used in a polysilicon production line. LHV H2 This indicates the calorific value of hydrogen.

[0019] The advantages and positive effects of this invention are: 1. This invention controls the equipment in the polysilicon production line to enter the optimal state mode for absorbing new energy, correcting deviations, or matching hydrogen storage by judging the set transaction deviation threshold and the curtailment rate threshold. It can reasonably balance the absorption of new energy, reasonable grid trading, and the economics of hydrogen storage. It is easy to calculate and operate.

[0020] In the renewable energy consumption mode, this invention maximizes the local consumption of clean energy by dynamically increasing the hydrogen production power of the electrolyzer; in the deviation correction mode, it reverses the adjustment of the hydrogen production power to bring the electricity purchased by the grid back to the planned value; in the optimal hydrogen storage matching mode, it dynamically adjusts the hydrogen production power according to the real-time inventory of the hydrogen storage tank to ensure the stability of hydrogen supply for continuous production of polysilicon production lines. This method ensures optimization of economy, environmental protection, and stability. Attached Figure Description

[0021] Figure 1 This is a flowchart of the present invention. Detailed Implementation

[0022] The present invention will be further described in detail below with reference to the accompanying drawings.

[0023] A power control method for polysilicon production lines that considers trading deviations and power curtailment, such as Figure 1 As shown, it includes the following steps: Step 1: Obtain the current power output of new energy sources, planned power transactions, hydrogen storage tank inventory, polysilicon production line load, purchased power, and power consumption for electrolytic hydrogen production.

[0024] The specific implementation method of step 1 is as follows: obtain the current time. t Real-time output of new energy P gen ( t ), planned electricity trading P sch ( t ) 、 Hydrogen storage tank inventory M H2 ( t Polysilicon production line load P si ( t Actual power purchased by the power grid P grid ( t ) 、 Power consumption of electrolysis hydrogen production system P H2 ( t ), calculate the total load of the system P load ( t )= P si ( t )+ P H2 ( t ).

[0025] Step 2: Calculate the transaction deviation rate and the power curtailment rate based on the data obtained in Step 1.

[0026] Step 2: Calculate the transaction deviation rate ΔP ( t and curtailment rate Q cut ( t The specific implementation method is as follows:

[0027] .

[0028] Step 3: Determine if the curtailment rate is greater than the curtailment rate threshold. If it is, proceed to the renewable energy consumption mode and then proceed to step 6; otherwise, proceed to step 4.

[0029] When the power abandonment rate Q cut ( t (greater than the power curtailment rate threshold) or cut At that time, a new energy consumption mode control strategy is adopted to increase hydrogen production load and store hydrogen:

[0030] in, P H2,max This indicates the maximum hydrogen production capacity of the electrolyzer. or H2 Indicates hydrogen production efficiency. Δt Indicates the unit of time.

[0031] Step 4: Determine if the transaction deviation rate is greater than the transaction deviation threshold. If it is, use the deviation correction mode and proceed to step 6; otherwise, proceed to step 5.

[0032] When the trading deviation rate ΔP ( t (greater than the transaction deviation threshold) or p When using the deviation correction mode: If the power grid purchases electricity P grid ( t ) >P sch ( t If this is the case, then the hydrogen production power of the electrolyzer will be reduced.

[0033] If the power grid purchases electricity P grid ( t ) <P sch ( t If this is increased, the hydrogen production capacity of the electrolyzer will be increased:

[0034] in, Δt For time step.

[0035] Step 5: Match the optimal state mode for hydrogen storage.

[0036] The specific implementation method of step 5 is as follows: when the wind curtailment rate is... Q cut Less than or equal to the curtailment rate threshold or cut Transaction deviation rate ΔP t Less than or equal to the transaction deviation threshold or p At that time, the optimal hydrogen storage state mode is adopted:

[0037] in, M opt This indicates the optimal hydrogen storage capacity of the hydrogen storage tank. P H2_max This indicates the maximum power output of the electrolyzer for hydrogen production.

[0038] Step 6: Calculate the energy storage tank state at the next moment.

[0039] The specific implementation method for step 6 is as follows:

[0040] in, k 1 represents the amount of hydrogen consumed per unit of electricity used in a polysilicon production line. LHV H2 This indicates the calorific value of hydrogen.

[0041] Step 7: Determine if the current time is... , T The specified time period is the time period that needs to be controlled. If it is greater than the specified time period, return to step 1; otherwise, end the process.

[0042] It should be emphasized that the embodiments described in this invention are illustrative rather than limiting. Therefore, this invention includes, but is not limited to, the embodiments described in the specific implementation. Any other implementations derived by those skilled in the art based on the technical solutions of this invention are also within the scope of protection of this invention.

Claims

1. A polysilicon production line power control method considering transaction bias and curtailment, characterized in that: Includes the following steps: Step 1: Obtain the current power output of new energy sources, planned power transactions, hydrogen storage tank inventory, polysilicon production line load, purchased power, and power consumption for hydrogen electrolysis at the current moment; Step 2: Calculate the transaction deviation rate and the power curtailment rate based on the data obtained in Step 1; Step 3: Determine if the curtailment rate is greater than the curtailment rate threshold. If it is, proceed to the renewable energy consumption mode and then proceed to step 6; otherwise, proceed to step 4. Step 4: Determine if the transaction deviation rate is greater than the transaction deviation threshold. If it is, use the deviation correction mode and proceed to step 6; otherwise, proceed to step 5. Step 5: Match the optimal state mode for hydrogen storage; Step 6: Calculate the energy storage tank state at the next moment; Step 7, judge whether the current time is , T the time period needed for control, if greater than, return to step 1, otherwise end.

2. The power control method for a polycrystalline silicon production line considering transaction deviation and power curtailment according to claim 1, characterized in that: The specific implementation method of step 1 is as follows: obtain the current time. t Real-time output of new energy P gen ( t ), planned electricity trading P sch ( t ) 、 Hydrogen storage tank inventory M H2 ( t Polysilicon production line load P si ( t Actual power purchased by the power grid P grid ( t ) 、 Power consumption of electrolysis hydrogen production system P H2 ( t ), calculate the total load of the system P load ( t )= P si ( t )+ P H2 ( t ).

3. The power control method for a polycrystalline silicon production line considering transaction deviation and power curtailment according to claim 2, characterized in that: Step 2 calculates the transaction deviation rate. ΔP ( t and the curtailment rate Q cut ( t The specific implementation method is as follows: ； 。 4. The power control method for a polycrystalline silicon production line considering transaction deviation and power curtailment according to claim 1, characterized in that: The specific implementation method of absorbing new energy sources, increasing hydrogen production load, and storing hydrogen in step 3 is as follows: ； in, P H2,max This indicates the maximum hydrogen production capacity of the electrolyzer. η H2 Indicates hydrogen production efficiency. Δt Indicates the unit of time.

5. The power control method for a polysilicon production line considering transaction deviation and power curtailment according to claim 1, characterized in that: The specific implementation method of the deviation correction mode in step 4 is as follows: If the power grid purchases electricity P grid ( t ) >P sch ( t If this is the case, then the hydrogen production power of the electrolyzer will be reduced. ； If the power grid purchases electricity P grid ( t ) <P sch ( t If this is increased, the hydrogen production capacity of the electrolyzer will be increased: ； in, Δt For time step.

6. The power control method for a polysilicon production line considering transaction deviation and power curtailment according to claim 1, characterized in that: The specific implementation method of step 5 is as follows: when the wind curtailment rate and solar curtailment rate are... Q cut Less than or equal to the curtailment rate threshold η cut Transaction deviation rate ΔP t Less than or equal to the transaction deviation threshold η p At that time, the optimal hydrogen storage state mode is adopted: ； in, M opt This indicates the optimal hydrogen storage capacity of the hydrogen storage tank. P H2_max This indicates the maximum power output of the electrolyzer for hydrogen production.

7. The power control method for a polycrystalline silicon production line considering transaction deviation and power curtailment according to claim 1, characterized in that: The specific implementation method of step 6 is as follows: ； in, k 1 represents the amount of hydrogen consumed per unit of electricity used in a polysilicon production line. LHV H2 This indicates the calorific value of hydrogen.

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