CN113258589A - Energy storage and electrolytic aluminum load polymerization frequency modulation method and device based on production operation - Google Patents
Energy storage and electrolytic aluminum load polymerization frequency modulation method and device based on production operation Download PDFInfo
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- 238000004146 energy storage Methods 0.000 title claims abstract description 109
- XAGFODPZIPBFFR-UHFFFAOYSA-N aluminium Chemical compound [Al] XAGFODPZIPBFFR-UHFFFAOYSA-N 0.000 title claims abstract description 104
- 229910052782 aluminium Inorganic materials 0.000 title claims abstract description 104
- 238000000034 method Methods 0.000 title claims abstract description 52
- 238000004519 manufacturing process Methods 0.000 title claims abstract description 39
- 238000006116 polymerization reaction Methods 0.000 title claims abstract description 27
- 238000011217 control strategy Methods 0.000 claims abstract description 23
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- 230000000875 corresponding effect Effects 0.000 claims 2
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- 230000033228 biological regulation Effects 0.000 description 11
- 230000000694 effects Effects 0.000 description 7
- 239000004411 aluminium Substances 0.000 description 6
- 238000007599 discharging Methods 0.000 description 6
- 230000006870 function Effects 0.000 description 6
- 238000012545 processing Methods 0.000 description 4
- 230000004044 response Effects 0.000 description 4
- XEEYBQQBJWHFJM-UHFFFAOYSA-N Iron Chemical compound [Fe] XEEYBQQBJWHFJM-UHFFFAOYSA-N 0.000 description 2
- 229910000831 Steel Inorganic materials 0.000 description 2
- 230000002776 aggregation Effects 0.000 description 2
- 238000004220 aggregation Methods 0.000 description 2
- 230000008901 benefit Effects 0.000 description 2
- 238000005520 cutting process Methods 0.000 description 2
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- 229910001610 cryolite Inorganic materials 0.000 description 1
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- 238000001514 detection method Methods 0.000 description 1
- 238000004090 dissolution Methods 0.000 description 1
- 238000004134 energy conservation Methods 0.000 description 1
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- 230000006872 improvement Effects 0.000 description 1
- 229910052742 iron Inorganic materials 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/24—Arrangements for preventing or reducing oscillations of power in networks
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/12—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load
- H02J3/14—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load by switching loads on to, or off from, network, e.g. progressively balanced loading
- H02J3/144—Demand-response operation of the power transmission or distribution network
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/28—Arrangements for balancing of the load in a network by storage of energy
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/28—Arrangements for balancing of the load in a network by storage of energy
- H02J3/32—Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B70/00—Technologies for an efficient end-user side electric power management and consumption
- Y02B70/30—Systems integrating technologies related to power network operation and communication or information technologies for improving the carbon footprint of the management of residential or tertiary loads, i.e. smart grids as climate change mitigation technology in the buildings sector, including also the last stages of power distribution and the control, monitoring or operating management systems at local level
- Y02B70/3225—Demand response systems, e.g. load shedding, peak shaving
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S20/00—Management or operation of end-user stationary applications or the last stages of power distribution; Controlling, monitoring or operating thereof
- Y04S20/20—End-user application control systems
- Y04S20/222—Demand response systems, e.g. load shedding, peak shaving
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Abstract
The invention belongs to the field of power systems, and provides a method and a device for energy storage and electrolytic aluminum load polymerization frequency modulation based on production operation. The method comprises the steps of obtaining operation data of an energy storage device and an electrolytic aluminum load, and constructing a power characteristic model of the energy storage device and the electrolytic aluminum load; obtaining an energy storage device self-adaptive droop control strategy and a corresponding charge-discharge curve thereof based on a power characteristic model of the energy storage device and the charge state of the energy storage device so as to control the energy storage to participate in frequency modulation; the relation between the regulating capacity of the electrolytic aluminum load and the temperature of the electrolytic bath is determined based on a power characteristic model of the electrolytic aluminum load and an energy conversion process in the process of load production operation so as to control the electrolytic aluminum load to participate in frequency modulation.
Description
Technical Field
The invention belongs to the field of power systems, and particularly relates to a method and a device for energy storage and electrolytic aluminum load polymerization frequency modulation based on production operation.
Background
The statements in this section merely provide background information related to the present disclosure and may not necessarily constitute prior art.
The supply and demand of the power grid mainly depend on power plants and demand side management means, but the industrial park has large load installed capacity and large potential for participating in power fluctuation of the power grid, and the power grid is not effectively exploited and utilized. The load of the industrial park can improve the comprehensive utilization efficiency of energy resources, and the annual power consumption of the two loads of aluminum and steel is about 1.1 trillion kilowatt-hour, so that the industrial park load is an important resource for improving the operation flexibility of a power grid.
In the current research, the modes of industrial load participating in power grid optimization scheduling can be mainly divided into two types: one is to adjust the power generation schedule of the self-contained power plant. Many industrial enterprises such as electrolytic aluminum plants and iron and steel plants are equipped with self-contained power plants to reduce the power consumption cost. From the grid side, the industrial load and its own power plant can be considered as an equivalent load. And secondly, adjusting the start and stop of the industrial load. On the premise of ensuring that the production benefit of industrial users is not changed, the industrial load is fully enabled to participate in the trend that the power grid regulation and control operation such as power grid peak regulation and frequency regulation is not changed. The inventor finds that a quantitative analysis model is lacked for modes, specific measures and the like of the industrial park load participating in power supply and demand interaction implementation, and the regulation and control potential of the industrial load is difficult to fully exploit.
Disclosure of Invention
In order to solve the technical problems in the background art, the invention provides an energy storage and electrolytic aluminum load aggregation frequency modulation method and device based on production and operation, which can ensure the power balance requirement of a power grid in the processes of executing distributed power supply absorption and demand side resource management according to the power response characteristics of an electrolytic aluminum load and an energy storage system, and indirectly improve the stability of a power system.
In order to achieve the purpose, the invention adopts the following technical scheme:
in a first aspect of the invention, a method for polymerization frequency modulation of energy storage and electrolytic aluminum load based on production operation is provided.
An energy storage and electrolytic aluminum load polymerization frequency modulation method based on production operation comprises the following steps:
acquiring operating data of the energy storage device and the electrolytic aluminum load, and constructing a power characteristic model of the energy storage device and the electrolytic aluminum load;
obtaining an energy storage device self-adaptive droop control strategy and a corresponding charge-discharge curve thereof based on a power characteristic model of the energy storage device and the charge state of the energy storage device so as to control the energy storage to participate in frequency modulation;
the relation between the regulating capacity of the electrolytic aluminum load and the temperature of the electrolytic bath is determined based on a power characteristic model of the electrolytic aluminum load and an energy conversion process in the process of load production operation so as to control the electrolytic aluminum load to participate in frequency modulation.
Furthermore, the charge-discharge curve of the adaptive control strategy is obtained by performing set symmetrical translation transformation on the logistic curve.
Further, the regulating capacity of the electrolytic aluminum load is obtained based on the analysis of an equivalent circuit diagram of the electrolytic aluminum load.
Further, there is a positive correlation between the capacity of regulation of the electrolytic aluminium load and the cell temperature.
Further, the capacity of regulation of the load of electrolytic aluminium is expressed in terms of the variation of the power input to the electrolytic cell, equal to the product of the specific heat capacity of the aluminium and the mass of aluminium in the electrolytic cell multiplied by the derivative of the temperature of the electrolytic cell.
Further, an adaptive droop control strategy is obtained based on the hybrid control strategy.
Further, the adaptive droop control strategy is: and determining the output of the battery according to the SOC state of the energy storage battery.
The adaptive droop control strategy is as follows:
when the frequency is reduced due to power grid disturbance and the energy storage SOC is larger than a first threshold value, the energy storage battery discharges with the largest droop coefficient, and the frequency modulation effect is preferentially ensured; when the battery capacity is smaller than a first set capacity value, discharging by variable droop control, and preferentially maintaining the SOC state of the battery; when the frequency is increased due to power grid disturbance and the energy storage SOC is smaller than a second threshold value, the energy storage battery is charged by a maximum droop coefficient, the frequency modulation effect is preferentially ensured, and when the battery capacity is larger than a second set capacity value, the battery is charged by variable droop control, and the SOC state of the battery is preferentially maintained; the second threshold value is smaller than the first threshold value, and the first set capacity value is smaller than the second set capacity value.
The second aspect of the invention provides an energy storage and electrolytic aluminum load polymerization frequency modulation device based on production operation.
An energy storage and electrolytic aluminum load polymerization frequency modulation device based on production operation comprises:
the power characteristic model building module is used for obtaining the operation data of the energy storage device and the electrolytic aluminum load and building a power characteristic model of the energy storage device and the electrolytic aluminum load;
the energy storage participation frequency modulation control module is used for obtaining an energy storage device self-adaptive droop control strategy and a corresponding charge-discharge curve thereof based on a power characteristic model of the energy storage device and the charge state of the energy storage device so as to control the energy storage to participate in frequency modulation;
and the electrolytic aluminum load participation frequency modulation control module is used for determining the relation between the adjusting capacity of the electrolytic aluminum load and the temperature of the electrolytic cell based on the power characteristic model of the electrolytic aluminum load and the energy conversion process in the load production operation process so as to control the electrolytic aluminum load to participate in frequency modulation.
A third aspect of the invention provides a computer-readable storage medium.
A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method for frequency modulation of load aggregation of energy storage and electrolytic aluminium based on production runs as described above.
A fourth aspect of the invention provides a computer apparatus.
A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps of the method for frequency modulation of energy storage and electrolytic aluminum load polymerization based on production operation as described above when executing the program.
Compared with the prior art, the invention has the beneficial effects that:
the invention provides an energy storage system and an electrolytic aluminum load polymerization frequency modulation method based on a production running state, and aims to develop the adjustable potential of industrial park loads, solve the problems of wind and light abandonment of new energy, assist in solving the problems of unbalanced supply and demand of a regional power grid and the like. By constructing the production process constraint and the power characteristic function of the electrolytic aluminum load and utilizing the power regulation characteristic of the energy storage system, the joint frequency regulation capacity of the electrolytic aluminum load and the energy storage system is fully developed, and the method has important guiding significance for determining the industrial load regulation in the demand response service of the power grid and the load aggregator.
Advantages of additional aspects of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, are included to provide a further understanding of the invention, and are incorporated in and constitute a part of this specification, illustrate exemplary embodiments of the invention and together with the description serve to explain the invention and not to limit the invention.
FIG. 1 illustrates an energy storage system according to an embodiment of the present invention participating in primary frequency modulation of a power grid;
FIG. 2 is a schematic block diagram of droop control in accordance with an embodiment of the present invention;
FIG. 3 is a SOC model of a battery according to an embodiment of the invention;
FIG. 4 is an adaptive droop control strategy according to an embodiment of the present invention;
FIG. 5 illustrates the control principle of the embodiment of the present invention for participating in frequency modulation;
FIG. 6 is an electrolytic aluminum load topology of an embodiment of the present invention;
FIG. 7 is an electrolytic aluminum load equivalent circuit of an embodiment of the present invention;
FIG. 8 is the electrolytic aluminum load control principle of the embodiment of the present invention;
FIG. 9 illustrates the principle of polymerization control of energy storage and electrolytic aluminum loading according to an embodiment of the present invention;
FIG. 10 is a reconciliation task assignment flow of an embodiment of the present invention.
Detailed Description
The invention is further described with reference to the following figures and examples.
It is to be understood that the following detailed description is exemplary and is intended to provide further explanation of the invention as claimed. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of exemplary embodiments according to the invention. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, and it should be understood that when the terms "comprises" and/or "comprising" are used in this specification, they specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof, unless the context clearly indicates otherwise.
In order to solve the problems that a quantitative analysis model is lacked in a mode, specific measures and the like for carrying out supply and demand interaction of industrial park loads and a power grid in the background art, and the regulation and control potential of industrial loads is difficult to fully excavate, the invention researches the production process constraint of electrolytic aluminum loads, realizes a combined frequency modulation strategy of the electrolytic aluminum loads and an energy storage system based on the charge state of the energy storage system, ensures the power balance requirement of the power grid in the process of executing distributed power supply consumption and demand side resource management, and indirectly improves the stability of a power system.
Example one
Referring to fig. 9 and 10, the frequency modulation method for polymerization of energy storage and electrolytic aluminum load based on production operation of the embodiment comprises the following steps:
step 1: and obtaining the operating data of the energy storage device and the electrolytic aluminum load, and constructing a power characteristic model of the energy storage device and the electrolytic aluminum load.
Step 2: and obtaining an energy storage device self-adaptive droop control strategy and a corresponding charge-discharge curve thereof based on the power characteristic model of the energy storage device and the charge state of the energy storage device so as to control the energy storage to participate in frequency modulation.
The principle of primary frequency modulation of an energy storage system is shown in fig. 1, and when power disturbance occurs in a power grid, the system frequency will deviate: when the power supply of the generator is larger than the load demand and the frequency rises, the energy storage system is charged; when the generator supply is less than the load demand, causing the frequency to drop, the energy storage system discharges. And setting the charging power of the energy storage system to be positive and the discharging power to be negative.
When the load suddenly increases, the load curve moves from L1 (delta f) to L2 (delta f), and the traditional power supply also increases the output, reduces the unbalanced power, and reduces the frequency deviation of the system from 0 to delta f1And the system moves from a stable operation point a to a point b, and at the moment, the energy storage battery participates in primary frequency modulation and discharge P of the power grid by utilizing droop controlbThe system operating point moves from point b to point c, at which time the frequency deviation returns to Δ f2And the system frequency deviation is reduced.
A droop control method of an energy storage system is generally used for system frequency modulation control, and responds to a system frequency deviation through a droop characteristic to improve an instantaneous frequency response characteristic. In fig. 2, the outer loop controller includes droop control and power control. The energy storage inverter controls the d-axis current component to quickly respond to the frequency deviation of the outer ring, and the active power reference value of the energy storage system is adjusted.
The state of charge (SOC) of the energy storage battery refers to the ratio of the remaining battery capacity to the rated battery capacity at a certain discharge rate, and is shown in formula (1):
wherein SOC is the state of charge, SOC, of the battery0Is the initial charge level, Q, of the batteryNIs the rated capacity, P, of the batterybFor charging and dischargingThe electric power, eta, is the battery charge-discharge efficiency. The SOC model of the battery is shown in fig. 3.
Different droop control strategies can be selected according to the characteristics of different power grids, and the hybrid control method can effectively combine the frequency modulation effect of the energy storage battery and the maintenance of the SOC state. The adaptive droop control strategy of this embodiment is: and determining the output of the battery according to the SOC state of the energy storage battery.
The adaptive droop control strategy is as follows:
when the frequency is reduced due to power grid disturbance and the energy storage SOC is larger than a first threshold value, the energy storage battery discharges with the largest droop coefficient, and the frequency modulation effect is preferentially ensured; when the battery capacity is smaller than a first set capacity value, discharging by variable droop control, and preferentially maintaining the SOC state of the battery; when the frequency is increased due to power grid disturbance and the energy storage SOC is smaller than a second threshold value, the energy storage battery is charged by a maximum droop coefficient, the frequency modulation effect is preferentially ensured, and when the battery capacity is larger than a second set capacity value, the battery is charged by variable droop control, and the SOC state of the battery is preferentially maintained; the second threshold value is smaller than the first threshold value, and the first set capacity value is smaller than the second set capacity value.
For example:
when the frequency is reduced due to power grid disturbance and the energy storage SOC is relatively sufficient (SOC is more than 0.55), the energy storage battery discharges with the maximum droop coefficient to preferentially ensure the frequency modulation effect, and when the battery capacity is relatively tense, the battery discharges with variable droop control to preferentially maintain the SOC state of the battery; similarly, when the frequency is increased due to power grid disturbance and the energy storage SOC is relatively tense (SOC is less than 0.45), the energy storage battery is charged by the maximum droop coefficient, the frequency modulation effect is preferentially ensured, and when the battery capacity is relatively sufficient, the battery is charged by variable droop control, and the SOC state of the battery is preferentially maintained; when the SOC exceeds the predetermined range, the charging and discharging are stopped, and the adaptive droop control is performed as shown in fig. 4.
The adaptive control strategy of this embodiment is fitted using a logistic curve (S-shaped curve) that has a similar trend to the hybrid charge-discharge curve, is small in number in the initial stage, increases exponentially and increases at a higher rate, then gradually increases as it begins to saturate, and finally stops increasing when it stabilizes to a certain value. The function expression is shown as formula (2):
in the formula, K0Is an initial value; kmaxFor the final value, n is used to measure the curve change speed, and m represents the order.
The charging and discharging curve of the self-adaptive control strategy can be obtained by carrying out certain symmetrical translation transformation on the logistic curve, and the expression is as follows:
when SOC belongs to (0, SOC)min) Time of flight
Kbess_dDroop coefficient when releasing power for energy storage load; kbess_cSag factor when absorbing power for energy storage loads.
When SOC belongs to (SOC)min,SOCmax) Time of flight
When SOC belongs to (SOC)maxAnd, 1) time:
from the above analysis, the control principle of the stored energy participating in the frequency modulation can be obtained as shown in fig. 5.
And step 3: the relation between the regulating capacity of the electrolytic aluminum load and the temperature of the electrolytic bath is determined based on a power characteristic model of the electrolytic aluminum load and an energy conversion process in the process of load production operation so as to control the electrolytic aluminum load to participate in frequency modulation.
When the electrolytic aluminum load is a series type load, current flows through each electrolytic cell, all the electrolytic cells cannot work due to the fact that any electrolytic cell fails, unbalanced power cannot be balanced by cutting off the electrolytic cells when the load system is unbalanced, therefore when the power system is greatly disturbed, the input power of the electrolytic cells needs to be properly adjusted to maintain the stability of the power system, and the topological structure diagram of the electrolytic aluminum load is shown in fig. 6.
The electrolytic aluminum load is formed by connecting electrolytic cells in series, and current flows through each electrolytic cell for electrolysis, so that when power disturbance occurs in a power system, the power balance cannot be maintained by cutting off the electrolytic cells. It is therefore necessary to analyze the external characteristic curve of the electrolytic aluminium to find the corresponding adjustable variable and then to respond to the change in the system frequency by means of the power. FIG. 7 shows the load equivalent circuit of the electrolytic aluminum:
in FIG. 7, the electrolytic cell is equivalent to an equivalent resistance R connected in series with a counter electromotive force E, VAHIs the high side voltage of the bus, VALThe transformation ratio of the on-load tap changing transformer is k:1 and L for the low-voltage side voltage of the busSRIs the reactance of a saturable reactor, VBIs the direct voltage of the electrolytic cell, IdIs a direct current flowing through the electrolytic cell. Input power P of electrolytic aluminum loadloadComprises the following steps:
VBand IdCan be read in the detection main station, and then the E and R of the electrolytic cell are identified as a constant value by using a least square method through data analysis.
In any of the electrolytic cells, when R is 2.016m Ω and the back electromotive force E is 354.6V, the following can be obtained:
therefore, by adjusting the DC voltage V of the electrolytic cellBThe input power of the electrolytic cell can be adjusted. By adjusting any one of the high-voltage side voltage of the bus, the transformation ratio of the load voltage regulator and the reactance of the saturable reactorChanging the DC voltage V of the cellB。
The DC voltage V can be derived from the circuit relationship by means of FIG. 7BAnd the high-voltage side voltage V of the busAHThe relationship between:
wherein: and omega is the angular frequency of the power grid, the fluctuation of the angular frequency is small generally, and the angular frequency can be regarded as a constant value.
Based on the analysis, the transformation ratio k of the transformer can be changed by adjusting the tap joint of the transformer and the voltage V of the alternating-current low-voltage side bus can be adjusted by adjusting the on-load tap changing transformerAL. However, although the large electrolytic aluminum power can be adjusted quickly based on the on-load transformer adjustment scheme, frequent gear adjustment easily causes mechanical wear, and therefore, the method is mainly applied to the field of emergency control of power systems at present.
The principle of the current stabilization control is to convert the direct current I in the rectifying circuitDForming feedback I by means of a transmitterFWith a given reference current signal IgForming a deviation current after comparison, and obtaining a control current I through calculation of a PLC (programmable logic controller)KChanging the AC magnetic permeability coefficient of the ferromagnetic material of the saturable reactor, postponing the phase change in the rectifying circuit, further changing the output voltage at the DC side, and controlling the output DC current IdSo as to achieve the purposes of stabilizing current output and keeping the power of the electrolytic aluminum constant.
Because the temperature of the electrolytic cell is reduced along with the change of the adjusting power, the reduction of the temperature of the electrolytic cell directly influences the chemical reaction rate and the dissolution of cryolite, and the adjusting power of the electrolytic cell is reduced along with the reduction of the temperature of the electrolytic cell at will, so the droop coefficient of the electrolytic cell load is in a linear relation with the temperature of the electrolytic cell, the higher the temperature is, the larger the adjusting capacity is, the lower the temperature is, the smaller the adjusting capacity is, and the relation between the droop coefficient of the electrolytic cell load and the temperature of the electrolytic cell is as shown in formula (9):
kb＝cT (9)
in the production process of electrolytic aluminum load, the input electric energy is converted into internal energy and the heat energy of the electrolytic cell, and the following can be obtained according to the energy conservation:
Winput＝ΔH0+Q (10)
wherein: winputHeat absorbed from the power system for the electrolytic aluminum load; Δ H is the energy consumed by the electrolysis reaction, known in chemistry as enthalpy change; q is the heat energy loss of the electrolyzer.
According to the specific heat capacity formula, the following formula is obtained:
Q＝cmT (11)
wherein: c and m are respectively the equivalent specific heat capacity and mass of the electrolytic cell; t is the temperature of the electrolytic cell.
The energy input into the electrolytic cell is the integral of the input power and the time, and the deltaH can be generally regarded as a constant value under the condition of small temperature change, so that the change of the input power causes the temperature change of the electrolytic cell, namely:
wherein: delta PALIs the variable quantity of the input power of the electrolytic cell; c is the specific heat capacity of the aluminum, and is generally 880J/(kg. ℃), m is the mass of the aluminum in the electrolytic cell, and T is the temperature of the electrolytic cell. The control principle of the electrolytic aluminum load is shown in figure 8, and the control principle of the energy storage and electrolytic aluminum load polymerization is shown in figure 9.
It should be noted here that the sequence of step 2 and step 3 can be arbitrarily adjusted; in the embodiment, the energy storage device and the electrolytic aluminum load can be accurately guided to participate in the accurate regulation and control task allocation scheme of demand response by utilizing the energy storage device self-adaptive droop control strategy and the corresponding charging and discharging curve thereof and the relation between the regulating capacity of the electrolytic aluminum load and the temperature of the electrolytic cell.
Example two
The embodiment provides an energy storage and electrolytic aluminum load polymerization frequency modulation device based on production operation, which comprises:
the power characteristic model building module is used for obtaining the operation data of the energy storage device and the electrolytic aluminum load and building a power characteristic model of the energy storage device and the electrolytic aluminum load;
the energy storage participation frequency modulation control module is used for obtaining an energy storage device self-adaptive droop control strategy and a corresponding charge-discharge curve thereof based on a power characteristic model of the energy storage device and the charge state of the energy storage device so as to control the energy storage to participate in frequency modulation;
and the electrolytic aluminum load participation frequency modulation control module is used for determining the relation between the adjusting capacity of the electrolytic aluminum load and the temperature of the electrolytic cell based on the power characteristic model of the electrolytic aluminum load and the energy conversion process in the load production operation process so as to control the electrolytic aluminum load to participate in frequency modulation.
It should be noted here that, the modules in the frequency modulation device for energy storage and electrolytic aluminum load polymerization based on production operation in this embodiment correspond to the steps in the first embodiment one to one, and the specific implementation process is the same, which will not be described herein again.
EXAMPLE III
The present embodiment provides a computer readable storage medium having stored thereon a computer program which, when being executed by a processor, implements the steps of the energy storage and electrolytic aluminum load polymerization frequency modulation method based on production operation as described above.
Example four
The embodiment provides a computer device, which comprises a memory, a processor and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the program to realize the steps of the energy storage and electrolytic aluminum load polymerization frequency modulation method based on production operation.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of a hardware embodiment, a software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, optical storage, and the like) having computer-usable program code embodied therein.
The present 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 flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may 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, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), or the like.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. An energy storage and electrolytic aluminum load polymerization frequency modulation method based on production operation is characterized by comprising the following steps:
acquiring operating data of the energy storage device and the electrolytic aluminum load, and constructing a power characteristic model of the energy storage device and the electrolytic aluminum load;
obtaining an energy storage device self-adaptive droop control strategy and a corresponding charge-discharge curve thereof based on a power characteristic model of the energy storage device and the charge state of the energy storage device so as to control the energy storage to participate in frequency modulation;
the relation between the regulating capacity of the electrolytic aluminum load and the temperature of the electrolytic bath is determined based on a power characteristic model of the electrolytic aluminum load and an energy conversion process in the process of load production operation so as to control the electrolytic aluminum load to participate in frequency modulation.
2. An energy storage and electrolytic aluminum load polymerization frequency modulation method based on production operation as claimed in claim 1, characterized in that the charge and discharge curve of the adaptive control strategy is obtained by subjecting the logistic curve to a set symmetrical translation transformation.
3. The method for modulating frequency of polymerization of energy storage and electrolytic aluminum load based on production operation as claimed in claim 1, wherein the adjustment capacity of the electrolytic aluminum load is obtained based on analysis of an equivalent circuit diagram of the electrolytic aluminum load.
4. The method for polymerization frequency modulation of energy storage and electrolytic aluminum load based on production operation as claimed in claim 1, wherein the regulating capacity of electrolytic aluminum load is positively correlated to the cell temperature.
5. An energy storage and electrolytic aluminum load polymerization frequency modulation method based on production operation as claimed in claim 1 wherein the capacity of adjustment of the electrolytic aluminum load is expressed as a change in input cell power equal to the product of the specific heat capacity of aluminum and the mass of aluminum in the cell multiplied by the derivative of cell temperature.
6. The method for energy storage and electrolytic aluminum load polymerization frequency modulation based on production operation as claimed in claim 1, wherein the adaptive droop control strategy is obtained based on a hybrid control strategy.
7. An energy storage and electrolytic aluminum load polymerization frequency modulation method based on production operation as claimed in claim 1 wherein the adaptive droop control strategy is: and determining the output of the battery according to the SOC state of the energy storage battery.
8. An energy storage and electrolytic aluminum load polymerization frequency modulation device based on production operation is characterized by comprising:
the power characteristic model building module is used for obtaining the operation data of the energy storage device and the electrolytic aluminum load and building a power characteristic model of the energy storage device and the electrolytic aluminum load;
the energy storage participation frequency modulation control module is used for obtaining an energy storage device self-adaptive droop control strategy and a corresponding charge-discharge curve thereof based on a power characteristic model of the energy storage device and the charge state of the energy storage device so as to control the energy storage to participate in frequency modulation;
and the electrolytic aluminum load participation frequency modulation control module is used for determining the relation between the adjusting capacity of the electrolytic aluminum load and the temperature of the electrolytic cell based on the power characteristic model of the electrolytic aluminum load and the energy conversion process in the load production operation process so as to control the electrolytic aluminum load to participate in frequency modulation.
9. A computer-readable storage medium, on which a computer program is stored, which program, when being executed by a processor, carries out the steps of the method for frequency modulation of energy storage and electrolytic aluminum load polymerization based on production runs as set forth in any one of claims 1 to 7.
10. Computer arrangement comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor when executing the program performs the steps of the method for frequency modulation of energy storage and electrolytic aluminum load polymerization based on production runs as claimed in any one of claims 1 to 7.
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