Multi-load cooperative participation power grid interaction control method, system, medium and equipment

Abstract

The invention discloses a multi-load cooperative participation power grid interaction control method and system, a medium and equipment. The method comprises the following steps: establishing an active power regulation and control model of an electrolytic aluminum load and a submerged arc furnace load; performing load power regulation on the electrolytic aluminum load and the submerged arc furnace load according to the load active power regulation and control model, and establishing electrolytic aluminum load and submerged arc furnace load regulation and control cost models according to the relationship between different production operation states of the electrolytic aluminum load and the submerged arc furnace load and corresponding load power regulation variables; establishing a load collaborative optimization model based on the electrolytic aluminum load and submerged arc furnace load regulation and control cost model; and determining the power grid power regulation and control demand quantity, solving the load collaborative optimization model according to the power grid power regulation and control demand quantity, and obtaining the optimal power regulation quantity of the electrolytic aluminum load and the submerged arc furnace load, so that the comprehensive regulation and control cost is lowest. According to the method, the optimal strategy that multiple types of high-energy-consumption industrial loads cooperatively participate in power grid interaction control can be obtained through optimization.

Description

Technical Field

[0001] The present invention relates to the technical field of power systems, and in particular to a method, system, medium and equipment for interactive control of multiple loads coordinating and participating in a power grid. Background Art

[0002] The construction of new power systems urgently needs to develop flexible adjustment resources on the load side to cope with the degradation of the flexible adjustment capacity of the system power supply side caused by the strong random volatility of high proportions of wind power and photovoltaics. At present, in the design of strategies for the load side to participate in the interactive control of the power grid, there is no control strategy that considers the coordinated optimization of multiple types of high-energy-consuming industrial loads such as electrolytic aluminum and ore-heating furnace loads. As large industrial electricity users, electrolytic aluminum and steel have the advantages of large load capacity, fast response speed, and short-term power regulation will not have a significant impact on normal production. In order to fully tap the response potential of multiple types of high-energy-consuming loads, it is very necessary to study the strategy of electrolytic aluminum and ore-heating furnace loads to participate in the interactive control of the power grid. Summary of the invention

[0003] The present invention aims to solve at least one of the technical problems in the related art to a certain extent. To this end, the first purpose of the present invention is to provide a method for multi-load collaborative participation in grid interactive control, which can minimize the cost of multi-load comprehensive regulation and control, and can provide a reference for the strategy design of multi-type high-energy-consuming industrial load collaborative participation in grid interactive control, and at the same time can help the grid fully tap and utilize the flexible adjustment resources on the load side.

[0004] The second object of the present invention is to provide a multi-load collaborative participation in a power grid interactive control system.

[0005] A third object of the present invention is to provide a computer-readable storage medium.

[0006] A fourth object of the present invention is to provide a power grid control device.

[0007] To achieve the above object, the present invention is implemented through the following technical solutions:

[0008] A multi-load collaborative participation in power grid interactive control method, comprising:

[0009] Establish active power control model for electrolytic aluminum load and ore-fired furnace load;

[0010] According to the active power control model of the electrolytic aluminum load and the ore-heating furnace load, the load power of the electrolytic aluminum load and the ore-heating furnace load are respectively adjusted, and according to the relationship between the different production and operation states of the electrolytic aluminum load and the ore-heating furnace load and the corresponding load power adjustment amount, the electrolytic aluminum load control cost model and the ore-heating furnace load control cost model are respectively established;

[0011] A load coordination optimization model is established based on the electrolytic aluminum load regulation cost model and the submerged arc furnace load regulation cost model;

[0012] Determine the power regulation demand of the power grid, solve the load collaborative optimization model according to the power regulation demand of the power grid, and obtain the optimal power regulation amount of the electrolytic aluminum load and the ore-fired furnace load to minimize the comprehensive regulation cost.

[0013] Preferably, the active power control model of the electrolytic aluminum load is expressed as follows:

[0014]

[0015] Among them, V d is the DC bus voltage of the electrolyzer, V AH is the high voltage bus voltage of the aluminum plant, k is the transformation ratio of the on-load voltage regulating transformer of the aluminum plant, V SR is the voltage drop of the saturated reactor connected in series with the on-load tap-changing transformer of the aluminum plant, P AL is the active power of electrolytic aluminum load, I d is the DC current of the electrolytic cell, E AL is the equivalent potential of the electrolytic cell, R AL is the equivalent resistance in series with the electrolytic cell;

[0016] The active power control model of the ore-fired furnace load is expressed as follows:

[0017]

[0018] Among them, P SAF is the active power of the ore-fired furnace load, R line is the equivalent resistance of the short-circuit part of the low-voltage side of the submerged arc furnace, R arc is the equivalent resistance of the arc part on the low-voltage side of the submerged arc furnace, X line is the equivalent reactance of the short-circuit part of the low-voltage side of the submerged arc furnace, X arc is the equivalent reactance of the arc part on the low-voltage side of the submerged arc furnace, V SAF It is the voltage on the low voltage side of the ore-fired furnace.

[0019] Preferably, the electrolytic aluminum load regulation cost model is expressed as follows:

[0020]

[0021] Among them, F 0,AL is the control cost of unit power regulation of electrolytic aluminum load, F p is the unit electrolytic aluminum load price, F c is the unit electrolytic aluminum load production cost, C E is the power consumption per unit of electrolytic aluminum load output, ΔP loadis the power regulation of electrolytic aluminum load, P load,N is the rated load power of electrolytic aluminum, P rE is the unit electricity price, β is the loss coefficient, and η is the electric energy production efficiency of electrolytic aluminum load;

[0022] The cost model of the load regulation of the submerged arc furnace is expressed as follows:

[0023]

[0024] Among them, F 0,SAF is the control cost of regulating the unit power of the ore-fired furnace load, F p1 is the unit price of the ore-fired furnace load, F c1 is the unit ore-fired furnace load production cost, C E1 is the power consumption per unit load output of the submerged arc furnace, η1 is the power production efficiency of the submerged arc furnace load, ΔP load1 It is the load power adjustment value of the ore-fired furnace.

[0025] Preferably, the objective function of the load collaborative optimization model is expressed as follows:

[0026]

[0027] Among them, min is the minimum value function, t is the control time, T is the control period, F 0,AL,t is the control cost of regulating the unit power of electrolytic aluminum load at time t, F 0,SAF,t is the control cost of regulating the unit power of the ore-fired furnace load at time t, ΔP AL,t is the power regulation of electrolytic aluminum load at time t, ΔP SAF,t is the load power adjustment value of the ore-fired furnace at time t, and Δt is the control time interval.

[0028] Preferably, the constraints of the load collaborative optimization model are expressed as follows:

[0029] ΔP AL,t +ΔP SAF,t =ΔP d,t

[0030] ΔP ALmin ≤ΔP AL,t ≤ΔP ALmax

[0031] ΔP SAFmin ≤ΔP SAF,t ≤ΔP SAFmax

[0032] Where ΔP d,t is the power regulation demand of the power grid at time t, ΔP ALmax , ΔP ALminare the upper and lower limits of the electrolytic aluminum load power regulation, ΔP SAFmax , ΔP SAFmin They are respectively the upper and lower limits of the load power adjustment of the ore-fired furnace.

[0033] Preferably, the different production and operation states of the electrolytic aluminum load when reducing the load power include a production reduction state, a heat preservation state and a cooling state; wherein

[0034] When the electrolytic aluminum load power adjustment amount is greater than or equal to 0 and less than 0.1 times the electrolytic aluminum rated load power, the electrolytic aluminum load is in a reduced production state;

[0035] When the power adjustment amount of the electrolytic aluminum load is greater than or equal to 0.1 times the rated load power of the electrolytic aluminum and less than 0.3 times the rated load power of the electrolytic aluminum, the electrolytic aluminum load is in a heat preservation state;

[0036] When the electrolytic aluminum load power adjustment amount is greater than or equal to 0.3 times the electrolytic aluminum rated load power, the electrolytic aluminum load is in a cooling state.

[0037] To achieve the above object, the second aspect of the present invention provides a multi-load collaborative participation power grid interactive control system, comprising:

[0038] The first building module is used to establish an active power control model for electrolytic aluminum load and ore-fired furnace load;

[0039] A regulating module, used for regulating the load power of the electrolytic aluminum load and the ore-fired furnace load respectively according to the active power regulation model of the electrolytic aluminum load and the ore-fired furnace load;

[0040] The second construction module is used to establish an electrolytic aluminum load control cost model and an ore-heated furnace load control cost model according to the relationship between different production and operation states of the electrolytic aluminum load and the ore-heated furnace load and the corresponding load power adjustment amount;

[0041] The third building module is used to establish a load collaborative optimization model based on the electrolytic aluminum load control cost model and the ore-fired furnace load control cost model;

[0042] The solution module is used to determine the power regulation demand of the power grid, and solve the load collaborative optimization model according to the power regulation demand of the power grid to obtain the optimal power regulation amount of the electrolytic aluminum load and the ore-fired furnace load, so as to minimize the comprehensive regulation cost.

[0043] To achieve the above-mentioned purpose, the third aspect of the present invention provides a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the above-mentioned method for cooperatively participating in interactive control of multiple loads in a power grid is implemented.

[0044] To achieve the above-mentioned objectives, the fourth aspect of the present invention provides a power grid control device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the above-mentioned method of multi-load collaborative participation in power grid interactive control is implemented.

[0045] The present invention has at least the following technical effects:

[0046] In view of the problem that there is a lack of design solutions for the interactive control strategies of multiple types of high-energy-consuming industrial loads in the grid at this stage, the present invention proposes a strategy for the interactive control of electrolytic aluminum and ore-heating furnace loads in the grid that takes into account the optimal comprehensive control cost. First, based on the active power control model of electrolytic aluminum and ore-heating furnace loads, combined with the relationship between industrial production status and load power adjustment, a control cost model for electrolytic aluminum and ore-heating furnace loads is established; secondly, considering the optimal comprehensive control cost of electrolytic aluminum and ore-heating furnace loads, a load collaborative optimization model is established. By solving the load collaborative optimization model, the optimal power control scheme for electrolytic aluminum and ore-heating furnace loads in the future time period can be obtained on the premise of meeting the grid control needs. The present invention can obtain a load collaborative participation in the interactive control scheme of the grid that minimizes the comprehensive control cost of multiple loads, and can provide a reference for the design of strategies for the collaborative participation of multiple types of high-energy-consuming industrial loads in the interactive control of the grid, and at the same time can help the grid to fully tap and utilize the flexible adjustment resources on the load side.

[0047] Additional aspects and advantages of the present invention will be given in part in the following description and in part will be obvious from the following description, or will be learned through practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] Figure 1 The present invention is a flowchart of a method for controlling multiple loads in a coordinated manner in a power grid.

[0049] Figure 2 This is an equivalent circuit diagram of the electrolytic aluminum load according to an embodiment of the present invention.

[0050] Figure 3 The figure is a load equivalent circuit diagram of a submerged arc furnace according to an embodiment of the present invention.

[0051] Figure 4 This is a structural block diagram of a multi-load collaborative grid interactive control system according to an embodiment of the present invention. DETAILED DESCRIPTION

[0052] The present embodiment is described in detail below, and examples of the embodiment are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present invention, and should not be construed as limiting the present invention.

[0053] The following describes the method, system, medium and device for multi-load collaborative grid interactive control of this embodiment with reference to the accompanying drawings.

[0054] Figure 1 Flow chart of the multi-load cooperative participation in the power grid interactive control method according to an embodiment of the present invention. Figure 1 As shown, the method includes:

[0055] Step S1: Establishing an active power control model for the electrolytic aluminum load and the ore-fired furnace load.

[0056] Electrolytic aluminum is a typical electrolytic load. Through a DC current of hundreds of kiloamperes, molten cryolite and alumina solution are electrolyzed in an electrolytic cell to generate aluminum. The main electrical equipment of the electrolytic aluminum load is the electrolytic cell, which can be equivalent to an equivalent resistor R AL and the equivalent potential E AL In series, its equivalent circuit diagram is as shown in the attached Figure 2 Therefore, the active power-voltage coupling regulation characteristics of the electrolytic aluminum load can be obtained, that is, the active power regulation model of the electrolytic aluminum load is expressed as follows:

[0057]

[0058] Among them, V d is the DC bus voltage of the electrolyzer, V AH is the high voltage bus voltage of the aluminum plant, k is the transformation ratio of the on-load voltage regulating transformer of the aluminum plant, V SR is the voltage drop of the saturated reactor connected in series with the on-load tap-changing transformer of the aluminum plant, P AL is the active power of electrolytic aluminum load, I d is the DC current of the electrolytic cell, R AL is the equivalent resistance in series with the electrolytic cell, E AL It is the equivalent potential of the electrolytic cell and can be identified from the actual production data of the aluminum plant.

[0059] Submerged arc furnace load is common in the steel and ferroalloy smelting industry. Smelting is carried out by heat release of the arc formed between the electrode and the charge. The equivalent circuit model of the submerged arc furnace load is shown in the attached figure. Figure 3 As shown. The voltage V on the low voltage side of the submerged arc furnace SAF The high voltage bus voltage V SAF-AH Obtained through the special transformer for submerged arc furnace:

[0060] V SAF =V SAF-AH / k SAF (2)

[0061] Among them, k SAFis the transformation ratio of the special transformer. The voltage on the low voltage side of the submerged arc furnace is divided into two parts: the short network and the arc. Among them, the short network part is composed of an equivalent resistor R line and equivalent reactance X line The arc part of the electric arc furnace shows resistance and reactance effects, and its equivalent impedance is composed of static resistance R arc and static reactance X arc There is a clear correlation between the reactance value and the resistance value of the arc part. By fitting the actual production data, the following relationship can be obtained:

[0062] X arc =a 1 R arc 2 +a 2 R arc +a 3 (3)

[0063] Among them, a 1 、a 2 and a 3 It is the fitting constant between the reactance and resistance of the arc part.

[0064] The active power control model of the ore-fired furnace load is expressed as follows:

[0065]

[0066]

[0067] Among them, P SAF is the active power of the ore-arc furnace load, Q SAF is the reactive power of the ore-arc furnace load, R line is the equivalent resistance of the short-circuit part of the low-voltage side of the submerged arc furnace, R arc is the equivalent resistance of the arc part on the low-voltage side of the submerged arc furnace, X line is the equivalent reactance of the short-circuit part of the low-voltage side of the submerged arc furnace, X arc is the equivalent reactance of the arc part on the low-voltage side of the submerged arc furnace, V SAF It is the voltage on the low voltage side of the ore-fired furnace.

[0068] Step S2: According to the active power control models of the electrolytic aluminum load and the ore-heating furnace load, the load power of the electrolytic aluminum load and the ore-heating furnace load are adjusted respectively, and according to the relationship between the different production and operation states of the electrolytic aluminum load and the ore-heating furnace load and the corresponding load power adjustment amount, the electrolytic aluminum load control cost model and the ore-heating furnace load control cost model are established respectively.

[0069] The electrolytic aluminum load generally operates near the rated power state, at which time the load production efficiency is the highest. When the electrolytic aluminum load power is reduced, the production state of the electrolytic aluminum load can be divided into three states depending on the power level: production reduction state, heat preservation state and cooling state.

[0070] 1) Reduction state: When the load power adjustment amount is 0<ΔP load <0.1P load,N Within the range, the electrolytic aluminum load can maintain production, but the production efficiency and capacity are reduced. Among them, ΔP load is the power regulation of electrolytic aluminum load, P load,N is the rated load power of electrolytic aluminum. In this state, the cost of load regulation is mainly the value loss caused by the loss of production capacity, so the value loss of electrolytic aluminum load regulation per unit power under the state of production reduction is recorded as F v Calculated by the following formula:

[0071] F v =(F p -F c ) / C E (6)

[0072] Among them, F p is the unit electrolytic aluminum load price, F c is the unit electrolytic aluminum load production cost, C E It is the power consumption per unit of electrolytic aluminum load output.

[0073] 2) Insulation state: When the load power adjustment is 0.1P load,N ≤ΔP load <0.3P load,N When the electrolytic cell is in the insulation state, there is no product, and the cost of electrolytic aluminum load regulation is the current electricity cost. Then, the control cost of electrolytic aluminum load regulation per unit electricity in the insulation state is F b The calculation is as follows:

[0074]

[0075] Among them, P rE The unit electricity price.

[0076] 3) Cooling state: When the load power adjustment amount ΔP load ≥0.3P load,N If the state is maintained for a long time, the electrolyte in the electrolytic cell will gradually cool down and cause the cell to condense, which will seriously damage the equipment. The cost of load control of electrolytic aluminum in this state for a short time is calculated by analogy with the cost in the insulation state. The control cost of load regulation of electrolytic aluminum per unit of electricity in the cooling state is F l The calculation is as follows:

[0077]

[0078] Among them, β is the loss coefficient, and β≥1 is taken, which represents the additional loss when the electrolytic aluminum load is ordered to operate at a low power in an emergency.

[0079] When the power of the electrolytic aluminum load is increased, the electrolytic aluminum load cannot be increased accordingly due to the capacity limit of the load equipment. The electric energy production efficiency of the electrolytic aluminum load is η, and the additional electric energy cost of the electrolytic aluminum load is recorded as F E as follows:

[0080] F E =(1-η)P rE (9)

[0081] Therefore, the cost model of electrolytic aluminum load regulation is expressed as follows:

[0082]

[0083] Among them, F 0,AL The control cost of unit electricity regulation for electrolytic aluminum load.

[0084] The load of the submerged arc furnace corresponds to the reduction smelting process of the alloy smelting process in the electric furnace. The smelting process of different alloy types such as nickel iron, silicon iron, manganese iron, chromium iron, silicon manganese, etc. is basically the same, but the raw materials and temperature control are different.

[0085] When the power of the submerged arc furnace load is adjusted downward, the energy loss caused by the power adjustment will affect the output and value of the part of the submerged arc furnace load corresponding to the energy loss, and the value loss of the unit adjustment power is as shown in the previous formula (6). When the power of the submerged arc furnace load is adjusted upward, similar to the electrolytic aluminum load, the electric energy cost of the submerged arc furnace load is increased, and the calculation is as shown in the previous formula (9).

[0086] Therefore, the cost model of load regulation of submerged arc furnace is expressed as follows:

[0087]

[0088] Among them, F 0,SAF is the control cost of regulating the unit power of the ore-fired furnace load, F p1 is the unit price of the ore-fired furnace load, F c1 is the unit ore-fired furnace load production cost, C E1 is the power consumption per unit load output of the submerged arc furnace, η1 is the power production efficiency of the submerged arc furnace load, ΔP load1 It is the load power adjustment value of the ore-fired furnace.

[0089] Step S3: Establish a load collaborative optimization model based on the electrolytic aluminum load control cost model and the blast furnace load control cost model.

[0090] Considering the optimal comprehensive regulation cost, an optimization model of electrolytic aluminum and ore-fired furnace loads participating in the interactive control of the power grid, namely, a load collaborative optimization model, is established. The objective function of the load collaborative optimization model is the comprehensive regulation cost optimization function of electrolytic aluminum and ore-fired furnace. The objective function of the load collaborative optimization model is expressed as follows:

[0091]

[0092] Among them, min is the minimum value function, t is the control time, T is the control period, F 0,AL,t is the control cost of regulating the unit power of electrolytic aluminum load at time t, F 0,SAF,t is the control cost of regulating the unit power of the ore-fired furnace load at time t, ΔP AL,t is the power regulation of electrolytic aluminum load at time t, ΔP SAF,t is the load power adjustment value of the ore-fired furnace at time t, and Δt is the control time interval.

[0093] The constraints of the load collaborative optimization model are expressed as follows:

[0094] 1) The total power regulation of the electrolytic aluminum load and the ore-fired furnace load should meet the power regulation demand of the power grid, that is:

[0095] ΔP AL,t +ΔP SAF,t =ΔP d,t (13)

[0096] Where ΔP d,t is the power control demand of the power grid at time t.

[0097] 2) The power adjustment of the electrolytic aluminum load and the submerged arc furnace load cannot exceed the upper and lower limits of the control capacity, that is:

[0098] ΔP ALmin ≤ΔP AL,t ≤ΔP ALmax (14)

[0099] ΔP SAFmin ≤ΔP SAF,t ≤ΔP SAFmax (15)

[0100] Where ΔP ALmax , ΔP ALmin are the upper and lower limits of the electrolytic aluminum load power regulation, ΔP SAFmax , ΔP SAFmin They are respectively the upper and lower limits of the load power adjustment of the ore-fired furnace.

[0101] Step S4: Determine the power regulation demand of the power grid, solve the load collaborative optimization model according to the power regulation demand of the power grid, and obtain the optimal power regulation amount of the electrolytic aluminum load and the ore-fired furnace load to minimize the comprehensive regulation cost.

[0102] Specifically, the power control demand of the power grid ΔP can be determined d,t Then, under the premise of meeting the interactive control requirements of the power grid, the optimal power adjustment amount of the electrolytic aluminum load and the ore-heated furnace load is solved, so as to obtain the optimal power regulation scheme of the electrolytic aluminum load and the ore-heated furnace load, so as to minimize the comprehensive regulation cost of multiple loads.

[0103] Figure 4 FIG. 1 is a structural block diagram of a multi-load cooperative grid interactive control system according to an embodiment of the present invention. Figure 4 As shown, the multi-load cooperative grid interactive control system 100 includes a first building module 10, a regulating module 20, a second building module 30, a third building module 40 and a solving module 50 which are connected in sequence.

[0104] Among them, the first construction module 10 is used to establish an active power control model of the electrolytic aluminum load and the ore-heating furnace load; the adjustment module 20 is used to adjust the load power of the electrolytic aluminum load and the ore-heating furnace load according to the active power control models of the electrolytic aluminum load and the ore-heating furnace load; the second construction module 30 is used to establish an electrolytic aluminum load control cost model and an ore-heating furnace load control cost model according to the relationship between different production and operation states of the electrolytic aluminum load and the ore-heating furnace load and the corresponding load power adjustment amount; the third construction module 40 is used to establish a load collaborative optimization model based on the electrolytic aluminum load control cost model and the ore-heating furnace load control cost model; the solution module 50 is used to determine the power control demand of the power grid, and solve the load collaborative optimization model according to the power control demand of the power grid to obtain the optimal power adjustment amount of the electrolytic aluminum load and the ore-heating furnace load, so as to minimize the comprehensive control cost.

[0105] In one embodiment of the present invention, the active power control model of the electrolytic aluminum load and the active power control model of the ore-fired furnace load established by the first building module 10 are respectively shown in the above formulas (1) and (4).

[0106] In one embodiment of the present invention, the electrolytic aluminum load control cost model and the blast furnace load control cost model established by the second construction module 30 are respectively shown in the above formulas (10) and (11).

[0107] In one embodiment of the present invention, the load collaborative optimization model established by the third building module 40 is respectively shown in the above formulas (12)-(15).

[0108] In one embodiment of the present invention, different production and operation states of the electrolytic aluminum load when reducing the load power include a production reduction state, a heat preservation state and a cooling state; wherein, when the power adjustment amount of the electrolytic aluminum load is greater than or equal to 0 and less than 0.1 times the rated load power of the electrolytic aluminum, the electrolytic aluminum load is in a production reduction state; when the power adjustment amount of the electrolytic aluminum load is greater than or equal to 0.1 times the rated load power of the electrolytic aluminum and less than 0.3 times the rated load power of the electrolytic aluminum, the electrolytic aluminum load is in a heat preservation state; when the power adjustment amount of the electrolytic aluminum load is greater than or equal to 0.3 times the rated load power of the electrolytic aluminum, the electrolytic aluminum load is in a cooling state.

[0109] It should be noted that the specific implementation of the multi-load collaborative participation in the grid interactive control system of this embodiment can refer to the specific implementation of the multi-load collaborative participation in the grid interactive control method mentioned above, and will not be repeated here to avoid redundancy.

[0110] In summary, the present invention aims at the problem that there is a lack of design solutions for the interactive control strategies of multiple types of high-energy-consuming industrial loads in the grid at this stage. The present invention proposes a strategy for the interactive control of electrolytic aluminum and ore-heating furnace loads in the grid that takes into account the optimal comprehensive control cost. First, based on the active power control model of electrolytic aluminum and ore-heating furnace loads, combined with the relationship between industrial production status and load power adjustment, a control cost model for electrolytic aluminum and ore-heating furnace loads is established; secondly, considering the optimal comprehensive control cost of electrolytic aluminum and ore-heating furnace loads, a load collaborative optimization model is established. By solving the load collaborative optimization model, the optimal power control scheme for electrolytic aluminum and ore-heating furnace loads in the future time period can be obtained on the premise of meeting the grid control needs. The present invention can obtain a load collaborative participation in the interactive control scheme of the grid that minimizes the comprehensive control cost of multiple loads, and can provide a reference for the design of strategies for the collaborative participation of multiple types of high-energy-consuming industrial loads in the interactive control of the grid, and at the same time can help the grid to fully tap and utilize the flexible adjustment resources on the load side.

[0111] Furthermore, the present invention also provides a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the above-mentioned method for cooperatively participating in interactive control of multiple loads in a power grid is implemented.

[0112] Furthermore, the present invention also provides a power grid control device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the above-mentioned method of multi-load collaborative participation in power grid interactive control is implemented.

[0113] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

[0114] Although the content of the present invention has been described in detail through the above preferred embodiments, it should be appreciated that the above description should not be considered as a limitation of the present invention. After reading the above content, it will be apparent to those skilled in the art that various modifications and substitutions of the present invention will occur. Therefore, the protection scope of the present invention should be limited by the appended claims.

Claims

1. A method for interactive control of multiple loads in a power grid, characterized in that: include: Establish active power control model for electrolytic aluminum load and ore-fired furnace load; According to the active power control model of the electrolytic aluminum load and the ore-heating furnace load, the load power of the electrolytic aluminum load and the ore-heating furnace load are respectively adjusted, and according to the relationship between the different production and operation states of the electrolytic aluminum load and the ore-heating furnace load and the corresponding load power adjustment amount, the electrolytic aluminum load control cost model and the ore-heating furnace load control cost model are respectively established; A load coordination optimization model is established based on the electrolytic aluminum load regulation cost model and the submerged arc furnace load regulation cost model; Determine the power regulation demand of the power grid, solve the load collaborative optimization model according to the power regulation demand of the power grid, and obtain the optimal power regulation amount of the electrolytic aluminum load and the ore-fired furnace load to minimize the comprehensive regulation cost.

2. The method for controlling the multi-load cooperative participation in the power grid interaction according to claim 1, characterized in that: The active power regulation model of the electrolytic aluminum load is expressed as follows: Among them, V d is the DC bus voltage of the electrolyzer, V AH is the high voltage bus voltage of the aluminum plant, k is the transformation ratio of the on-load voltage regulating transformer of the aluminum plant, V SR is the voltage drop of the saturated reactor connected in series with the on-load tap-changing transformer of the aluminum plant, P AL is the active power of electrolytic aluminum load, I d is the DC current of the electrolytic cell, E AL is the equivalent potential of the electrolytic cell, R AL is the equivalent resistance in series with the electrolytic cell; The active power control model of the ore-fired furnace load is expressed as follows: Among them, P SAF is the active power of the ore-fired furnace load, R line is the equivalent resistance of the short-circuit part of the low-voltage side of the submerged arc furnace, R arc is the equivalent resistance of the arc part on the low-voltage side of the submerged arc furnace, X line is the equivalent reactance of the short-circuit part of the low-voltage side of the submerged arc furnace, X arc is the equivalent reactance of the arc part on the low-voltage side of the submerged arc furnace, V SAF It is the voltage on the low voltage side of the ore-fired furnace.

3. The method for controlling the multi-load cooperative participation in the power grid interaction according to claim 1, characterized in that: The electrolytic aluminum load regulation cost model is expressed as follows: Among them, F 0,AL is the control cost of unit power regulation of electrolytic aluminum load, F p is the unit electrolytic aluminum load price, F c is the unit electrolytic aluminum load production cost, C E is the power consumption per unit of electrolytic aluminum load output, ΔP load is the power regulation of electrolytic aluminum load, P load,N is the rated load power of electrolytic aluminum, P rE is the unit electricity price, β is the loss coefficient, and η is the electric energy production efficiency of electrolytic aluminum load; The cost model of the load regulation of the submerged arc furnace is expressed as follows: Among them, F 0,SAF is the control cost of regulating the unit power of the ore-fired furnace load, F p1 is the unit price of the ore-fired furnace load, F c1 is the unit ore-fired furnace load production cost, C E1 is the power consumption per unit load output of the submerged arc furnace, η1 is the power production efficiency of the submerged arc furnace load, ΔP load1 It is the load power adjustment value of the ore-fired furnace.

4. The method for controlling the multi-load cooperative participation in the power grid interaction according to claim 1, characterized in that: The objective function of the load collaborative optimization model is expressed as follows: Among them, min is the minimum value function, t is the control time, T is the control period, F 0,AL,t is the control cost of regulating the unit power of electrolytic aluminum load at time t, F 0,SAF,t is the control cost of regulating the unit power of the ore-fired furnace load at time t, ΔP AL,t is the power regulation of electrolytic aluminum load at time t, ΔP SAF,t is the load power adjustment value of the ore-fired furnace at time t, and Δt is the control time interval.

5. The method for controlling the multi-load cooperative participation in the power grid interaction according to claim 4, characterized in that: The constraints of the load collaborative optimization model are expressed as follows: ΔP AL,t +ΔP SAF,t =ΔP d,t ΔP ALmin ≤ΔP AL,t ≤ΔP ALmax ΔP SAFmin ≤ΔP SAF,t ≤ΔP SAFmax Among them, ΔP d,t is the power regulation demand of the power grid at time t, ΔP ALmax , ΔP ALmin are the upper and lower limits of the power regulation of the electrolytic aluminum load, ΔP SAFmax , ΔP SAFmin They are the upper and lower limits of the load power adjustment of the ore-fired furnace respectively.

6. The method for controlling the multi-load cooperative participation in the power grid interaction according to claim 1, characterized in that: The different production and operation states of the electrolytic aluminum load when reducing the load power include a production reduction state, a heat preservation state and a cooling state; in When the electrolytic aluminum load power adjustment amount is greater than or equal to 0 and less than 0.1 times the electrolytic aluminum rated load power, the electrolytic aluminum load is in a reduced production state; When the power adjustment amount of the electrolytic aluminum load is greater than or equal to 0.1 times the rated load power of the electrolytic aluminum and less than 0.3 times the rated load power of the electrolytic aluminum, the electrolytic aluminum load is in a heat preservation state; When the electrolytic aluminum load power adjustment amount is greater than or equal to 0.3 times the electrolytic aluminum rated load power, the electrolytic aluminum load is in a cooling state.

7. A multi-load collaborative grid interactive control system, characterized in that: include: The first building module is used to establish an active power control model for electrolytic aluminum load and ore-fired furnace load; A regulating module, used for regulating the load power of the electrolytic aluminum load and the ore-fired furnace load respectively according to the active power regulation model of the electrolytic aluminum load and the ore-fired furnace load; The second construction module is used to establish an electrolytic aluminum load control cost model and an ore-heated furnace load control cost model according to the relationship between different production and operation states of the electrolytic aluminum load and the ore-heated furnace load and the corresponding load power adjustment amount; The third building module is used to establish a load collaborative optimization model based on the electrolytic aluminum load control cost model and the ore-fired furnace load control cost model; The solution module is used to determine the power regulation demand of the power grid, and solve the load collaborative optimization model according to the power regulation demand of the power grid to obtain the optimal power regulation amount of the electrolytic aluminum load and the ore-fired furnace load, so as to minimize the comprehensive regulation cost.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method for multi-load collaborative participation in power grid interactive control as described in any one of claims 1 to 7 is implemented.

9. A power grid control device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the multi-load collaborative participation in power grid interactive control method as described in any one of claims 1-7 is implemented.

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