CN114268141B - Method and system for correcting and adjusting SOC of energy storage system - Google Patents
Method and system for correcting and adjusting SOC of energy storage system Download PDFInfo
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Abstract
The energy storage system SOC correction adjustment method and the system realize coordination control of the energy storage system, consider the actual adjustment capacity of each energy storage station, consider the SOC balance problem among the energy storage stations, realize advantage complementation and effectively improve the power supply reliability of the system.
Description
Technical Field
The disclosure relates to the technical field of power system control, in particular to an energy storage system SOC correction adjustment method and system.
Background
With the rapid development of new energy industry in China, renewable energy sources such as wind energy, solar energy, ocean energy and geothermal energy are widely applied to power generation of an electric power system, the proportion of renewable energy sources is larger and larger, but the new energy source power generation has the characteristics of randomness, intermittence and the like, so that the development and the utilization of the renewable energy sources are restricted. The energy storage system/device can quickly realize the absorption and release of active power, so that the renewable new energy source with strong intermittence and volatility is changed into 'adjustable and controllable'. Therefore, the combined power generation system formed by combining the new energy and the energy storage provides an effective solution for promoting the development and utilization of the new energy and the stability of the power system. However, because the energy storage non-active power supply has high construction cost and very limited capacity and electric quantity, how to realize the coordination of the new energy station and the energy storage system has very important research significance and practical value.
The traditional power grid frequency modulation mainly comprises primary frequency modulation and secondary frequency modulation, the secondary frequency modulation is also called automatic power generation control (Automatic Generation Control, AGC), and the constant control of the power grid frequency and the power of a connecting wire is realized by adjusting the active output of a frequency modulation power supply in the power grid in real time. Because the power structures in different areas have larger difference, the frequency modulation capability and efficiency of regional power grids are different, and especially, along with the development of smart power grids and the large-scale access of new energy stations to power systems in recent years, the power grids have higher requirements on the optimal scheduling of different types of power supplies and the frequency modulation quality of the system. The energy storage resource is used as a novel regulation resource, and one obvious difference from the traditional resource is that the energy storage resource is not a primary energy source and can not maintain constant output for a long time. And the imbalance of charge levels among the energy storage power stations constructed in a scattered layout can influence the aggregation response characteristic of the energy storage as a whole.
It should be noted that the information disclosed in the above background section is only for enhancing understanding of the background of the present disclosure and thus may include information that does not constitute prior art known to those of ordinary skill in the art.
Disclosure of Invention
The disclosure aims to provide an energy storage system SOC correction adjustment method and system for overcoming the problem that local energy storage control and grid overall control cannot be considered due to limitations and defects of related technologies at least to a certain extent.
According to one aspect of the present disclosure, there is provided an energy storage system SOC correction adjustment method including the steps of:
(1) Acquiring real-time SOC measurement data of the SCADA system;
(2) Performing SOC validity check on the real-time SOC measurement data obtained in the step (1) to judge whether an abnormal quality code appears in the real-time SOC measurement data, so that the energy storage system needs to be subjected to pause mode control;
(3) Performing SOC correction interval test on the real-time SOC measurement data obtained in the step (1) to judge an SOC correction interval in which the real-time SOC measurement data is located, and setting four energy storage SOC critical points in an SOC range, wherein the SOC critical points comprise the lowest running lower limit SOC min Ideal running lower limit SOC low Upper ideal running limit SOC high And a highest running upper limit SOC max Wherein 0 is<SOC min <SOC low <SOC high <SOC max Dividing the energy storage SOC operation interval into five SOC correction intervals according to the four energy storage SOC critical points;
(4) And (3) executing different correction methods on the real-time SOC measurement data according to different SOC correction intervals where the real-time SOC measurement data are located, wherein the correction methods comprise an energy storage adjustment upper limit correction method, an energy storage adjustment lower limit correction method, a base point forced correction method and an energy storage SOC correction bias correction method.
In one exemplary embodiment of the present disclosure, the SOC correction interval includes a SOC low limit prohibition interval, a SOC low limit early warning interval, a SOC ideal operation interval, a SOC high limit early warning interval, a SOC high limit prohibition interval, the SOC low limit prohibition interval being 0 to SOC min The SOC low-limit early warning interval is SOC min To SOC low The ideal running interval of the SOC is the SOC low To SOC high The SOC high-limit early warning interval is SOC high To SOC max The SOC high limit forbidden interval is SOC max To 100.
In an exemplary embodiment of the present disclosure, the equation (a) of the energy storage adjustment upper limit correction method is as follows:
regulating the maximum value of the power of the energy storage system at the moment t, and when the real-time SOC measurement data is in the SOC low limit forbidden zone, adding the maximum value to the real-time SOC measurement data>Is 0; when the real-time SOC measurement data is in the SOC low-limit warning interval,proportional relation with the ideal lower limit deviation of the SOC; while the real-time SOC is measuredWhen the data is in the ideal running interval of the SOC or the high-limit early-warning interval of the SOC or the high-limit forbidden interval of the SOC, the data is in the ideal running interval of the SOC or the high-limit early-warning interval of the SOC>Namely the rated discharge power of the energy storage system>
In an exemplary embodiment of the present disclosure, the formula (b) of the energy storage adjustment lower limit correction method is as follows:
for the power regulation minimum value of the energy storage system at the t moment, when the real-time SOC measurement data is in the SOC high-limit correction interval, the power regulation minimum value is added>Is 0; when the real-time SOC measurement data is in the SOC high-limit early-warning interval,proportional relation with the ideal upper limit deviation of the SOC; when the real-time SOC measurement data is lower than the ideal upper-limit SOC high Namely, when the real-time SOC measurement data is in an ideal SOC running interval or the low-limit SOC early-warning interval or the low-limit SOC forbidden interval, the system is in the _in state of charge (SOC)>Namely the rated charging power of the energy storage system>Negative values indicate that power is flowing from the grid to the energy storage system.
In an exemplary embodiment of the present disclosure, the formula (c) of the base point forced correction method is as follows:
when the real-time SOC measurement data is in the SOC high-limit forbidden interval, the power of the base point of the energy storage system at the moment t is a forced value, and the real-time SOC measurement data is in the SOC high-limit forbidden interval>Is 0; when the real-time SOC measurement data is lower than the ideal upper-limit SOC high Namely, when the real-time SOC measurement data is in an ideal SOC running interval or the low-limit SOC early-warning interval or the low-limit SOC forbidden interval, the system is in the _in state of charge (SOC)>Namely 0; when the real-time SOC measurement data is higher than the ideal operation upper limit SOC high And is lower than the upper limit of the upper limit prohibition SOC max I.e. when the real-time SOC measurement data is in the SOC high-limit early warning interval, the power of the base point of the energy storage system is calculatedNo adjustment is made.
In an exemplary embodiment of the present disclosure, the method for correcting the bias of the energy storage SOC includes a method for determining an effective state of the logic for correcting the energy storage SOC and a method for calculating a bias amount of the power for correcting the energy storage SOC, and the formula (d) of the method for determining the effective state of the logic for correcting the energy storage SOC is as follows:
the energy storage SOC correction bias mode is suitable for taking active management of the energy storage SOC into consideration when the energy storage SOC enters a low limit forbidden zone or a high limit forbidden zone, and avoids the influence on the service life of the energy storage SOC due to the fact that the energy storage SOC works in an overcharging/discharging state for a long time. If the upper threshold or the lower threshold of the SOC is directly adopted as the triggering and exiting conditions of the active management, the storage is easy to be causedThe strategic discontinuities can even cause power oscillations. Triggering and exiting of the energy storage SOC correction adjustment strategy adopts time division sequences and different threshold values, and the SOC correction logic effective state of the energy storage station i at the moment t is recorded as F soc-fix,i (t) the discrimination method is as follows:
F soc-fix,i (t) is the effective state of the energy storage SOC correction logic at the moment t, 1 represents the discharge correction state, -1 represents the charge correction state, 0 represents the exit correction state, and F is the time when the real-time SOC measurement data is in the ideal SOC operation interval soc-fix,i (t) exiting the corrective state; f when the real-time SOC measurement data is in the SOC high-limit forbidden interval soc-fix,i (t) is a discharge correction state; f when the real-time SOC measurement data is in the SOC low limit forbidden interval soc-fix,i (t) is a state of charge correction; f when the real-time SOC measurement data is in the SOC low-limit early-warning interval or the SOC high-limit early-warning interval soc-fix,i And (t) is the state of validity of the energy storage SOC correction logic in the previous second.
In an exemplary embodiment of the present disclosure, the formula (e) of the method for calculating the correction power offset of the energy storage SOC is as follows:
P soc-offset,i (t) is the SOC correction offset of the energy storage system at the moment t; alpha represents the correction coefficient, when the energy storage SOC correction logic takes effect in state F soc-fix,i When (t) is 0, P soc-offset,i (t) is 0; when the energy storage SOC rectifies logic effective state F soc-fix,i When (t) is 1, P soc-offset,i (t) is alpha multiplied by the rated discharge power of the energy storage systemWhen the energy storage SOC rectifies logic effective state F soc-fix,i When (t) is 1, P soc-offset,i (t) is alpha multiplied by the rated discharge power of the energy storage systemWhen the energy storage SOC rectifies logic effective state F soc-fix,i When (t) is-1, P soc-offset,i (t) is alpha multiplied by the rated charge power of the energy storage system +.>Negative values indicate that power is flowing from the grid to the energy storage system.
According to one aspect of the present disclosure, there is provided an energy storage system SOC correction adjustment system including:
the real-time SOC data acquisition module is used for acquiring real-time SOC measurement data of the SCADA system;
the SOC validity checking module is used for carrying out SOC validity checking on the acquired real-time SOC measurement data so as to judge whether the real-time SOC measurement data has abnormal quality codes or not, so that the energy storage system needs to be subjected to pause mode control;
the SOC correction interval checking module is used for performing SOC correction interval checking on the real-time SOC measurement data to judge an SOC correction interval where the real-time SOC measurement data is located, and four energy storage SOC critical points are arranged in an SOC range and comprise a lowest running lower limit SOC min Ideal running lower limit SOC low Upper ideal running limit SOC high And a highest running upper limit SOC max Wherein 0 is<SOC min <SOC low <SOC high <SOC max Dividing the energy storage SOC operation interval into five SOC correction intervals according to the four energy storage SOC critical points;
and the SOC correction module is used for executing different correction methods on the real-time SOC measurement data in different SOC correction intervals where the real-time SOC measurement data are detected by the SOC correction interval detection module, wherein the correction methods comprise an energy storage adjustment upper limit correction method, an energy storage adjustment lower limit correction method, a base point forced correction method and an energy storage SOC correction bias correction method.
According to one aspect of the present disclosure, there is provided an electronic device including:
a memory; and
a processor coupled to the memory, the processor configured to perform the energy storage system SOC correction adjustment method as described above based on instructions stored in the memory.
According to one aspect of the present disclosure, there is provided a computer-readable storage medium having stored thereon a program which, when executed by a processor, implements the energy storage system SOC correction adjustment method as described above.
According to the embodiment of the application, the real-time SOC data is obtained, the validity check and the interval check are carried out on the real-time SOC data, and different SOC correction methods are executed by judging different SOC correction intervals in which the real-time SOC measurement data is located.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the disclosure and together with the description, serve to explain the principles of the disclosure. It will be apparent to those of ordinary skill in the art that the drawings in the following description are merely examples of the disclosure and that other drawings may be derived from them without undue effort.
Fig. 1 schematically illustrates a flowchart of an energy storage system SOC correction adjustment method 100 in a first embodiment of the present disclosure.
FIG. 2 schematically illustrates a schematic diagram of an adjustment range of an energy storage SOC operational section in one embodiment of the disclosure.
Fig. 3 schematically illustrates a schematic diagram of a stored energy SOC correction bias in an embodiment of the present disclosure.
Fig. 4 schematically illustrates a schematic diagram of an energy storage system SOC-correction adjustment system 200 of the present disclosure.
Fig. 5 schematically illustrates a block diagram of an electronic device 300 in an exemplary embodiment of the present disclosure.
Detailed Description
Example embodiments will now be described more fully with reference to the accompanying drawings. However, the exemplary embodiments may be embodied in many forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of the example embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided to give a thorough understanding of embodiments of the present disclosure. One skilled in the relevant art will recognize, however, that the aspects of the disclosure may be practiced without one or more of the specific details, or with other methods, components, devices, steps, etc. In other instances, well-known technical solutions have not been shown or described in detail to avoid obscuring aspects of the present disclosure.
Furthermore, the drawings are only schematic illustrations of the present disclosure, in which the same reference numerals denote the same or similar parts, and thus a repetitive description thereof will be omitted. Some of the block diagrams shown in the figures are functional entities and do not necessarily correspond to physically or logically separate entities. These functional entities may be implemented in software or in one or more hardware modules or integrated circuits or in different networks and/or processor devices and/or microcontroller devices.
The following describes example embodiments of the present disclosure in detail with reference to the accompanying drawings.
Fig. 1 schematically illustrates a flowchart of an energy storage system SOC correction adjustment method 100 in a first embodiment of the present disclosure.
Referring to fig. 1, an energy storage system SOC correction adjustment method 100 may include:
step S102, acquiring real-time SOC measurement data of the SCADA system;
step S104, carrying out SOC validity check on the real-time SOC measurement data obtained in the step S102 to judge whether an abnormal quality code appears in the real-time SOC measurement data, so that a suspension mode control is required to be carried out on the energy storage system;
step S106, performing SOC correction interval test on the real-time SOC measurement data obtained in step S102 to determine an SOC correction interval in which the real-time SOC measurement data is located, and setting four energy storage SOC critical points in an SOC range, wherein the SOC critical points comprise a lowest running lower limit SOC min Ideal running lower limit SOC low Upper ideal running limit SOC high And a highest running upper limit SOC max Wherein 0 is<SOC min <SOC low <SOC high <SOC max Dividing the energy storage SOC operation interval into five SOC correction intervals according to the four energy storage SOC critical points;
step S108, executing different correction methods on the real-time SOC measurement data according to different SOC correction intervals where the real-time SOC measurement data detected in step S106 are located, wherein the correction methods comprise an energy storage adjustment upper limit correction method, an energy storage adjustment lower limit correction method, a base point forced correction method and an energy storage SOC correction bias correction method.
According to the embodiment of the disclosure, the real-time SOC data are obtained, the validity check and the interval check are carried out on the real-time SOC data, and different SOC correction methods are executed by judging different SOC correction intervals in which the real-time SOC measurement data are located.
Next, each step of the energy storage system SOC correction adjustment method 100 will be described in detail.
Step S102, acquiring real-time SOC measurement data of the SCADA system.
Step S104, performing SOC validity test on the real-time SOC measurement data obtained in step S102 to judge whether an abnormal quality code appears in the real-time SOC measurement data, so that a suspension mode control on the energy storage system is required.
Step S106, performing SOC correction interval test on the real-time SOC measurement data obtained in step S102 to determine an SOC correction interval in which the real-time SOC measurement data is located, and setting four energy storage SOC critical points in an SOC range, wherein the SOC critical points comprise a lowest running lower limit SOC min Ideal running lower limit SOC low Upper ideal running limit SOC high And a highest running upper limit SOC max Wherein 0 is<SOC min <SOC low <SOC high <SOC max And dividing the energy storage SOC operation interval into five SOC correction intervals according to the four energy storage SOC critical points less than 100. The specific energy storage SOC critical point corresponds to the SOC correction interval as shown in table 1.
TABLE 1 SOC threshold value and SOC correction interval correspondence table
Fig. 2 schematically illustrates a schematic diagram of a stored energy SOC correction bias in an embodiment of the present disclosure.
Referring to fig. 2, specifically, when the energy storage system SOC is operating in an ideal interval, the energy storage system control command directly takes the control demand calculation result and corrects according to the allowable charge and discharge level;
specifically, when the energy storage system SOC is operated in the early warning section, suppressing an instruction to deteriorate the direction of the SOC level;
specifically, when the energy storage system SOC is operating in the forbidden interval, the energy storage system only responds to the control demand for the SOC to recover to the ideal interval; and simultaneously starting an SOC base point offset correction function.
Step S108, executing different correction methods on the real-time SOC measurement data according to different SOC correction intervals where the real-time SOC measurement data detected in step S106 are located, wherein the correction methods comprise an energy storage adjustment upper limit correction method, an energy storage adjustment lower limit correction method, a base point forced correction method and an energy storage SOC correction bias correction method.
Step S104, a conventional unit control model and an energy storage system control model are established in the AGC system control area, and conventional unit control model information and energy storage system control model information are obtained.
And step S106, calculating the conventional unit frequency modulation index and the energy storage system frequency modulation index of the power generation system under the control scene and the control strategy according to the control scene and the control strategy of the current participation of the power generation system in the AGC and the real-time data acquired in the step S102.
Specifically, the equation (a) of the energy storage adjustment upper limit correction method is as follows:
wherein,,for the maximum value of power regulation of the energy storage system at the t moment, when the real-time SOC measurement data is in the SOC low limit forbidden zone, the energy storage system is in the (L) state of charge (DOC)>Is 0; when the real-time SOC measurement data is in the SOC low-limit early-warning interval, the user can check the state of the battery according to the state of the battery>Proportional relation with the ideal lower limit deviation of the SOC; when the real-time SOC measurement data is in the ideal SOC running interval or the high-limit SOC early-warning interval or the high-limit SOC forbidden interval, the user is added with the system information>Namely the rated discharge power of the energy storage system>
Specifically, the equation (b) of the energy storage adjustment lower limit correction method is as follows:
for the power regulation minimum value of the energy storage system at the t moment, when the real-time SOC measurement data is in the SOC high-limit correction interval, the power regulation minimum value is added>Is 0; when the real-time SOC measurement data is in the SOC high-limit early-warning interval, the user is added with the information of the user>Proportional relation with the ideal upper limit deviation of the SOC; when the real-time SOC measurement data is lower than the ideal operation upper limit SOC high Namely, when the real-time SOC measurement data is in the ideal SOC running interval or the low-limit SOC early-warning interval or the low-limit SOC forbidden interval, the real-time SOC measurement data is in the low-limit SOC early-warning interval or the low-limit SOC forbidden interval>Namely the rated charging power of the energy storage system>Negative values indicate that power is flowing from the grid to the energy storage system.
Specifically, the base point forced correction method is applicable to automatic mode stations, such as automatic, base point, planning, charging and discharging, and when the energy storage SOC is in the forbidden interval, the base point of the energy storage SOC needs to be forcedly corrected in the following situations: when the energy storage SOC is in a high-limit forbidden zone, starting forbidden charging logic, and forcedly setting a base point larger than zero to be zero; when the energy storage SOC is in a low-limit forbidden interval, starting forbidden discharge logic, forcibly setting a base point smaller than zero to be zero, and carrying out base point zero setting under a typical turning pause and waiting mode for a non-automatic mode station to prevent the energy storage control object from keeping a charge/discharge state for a long time in an uncontrolled period.
The formula (c) of the base point forced correction method is as follows:
when the real-time SOC measurement data is in the SOC high-limit forbidden interval, the forced value of the base point power of the energy storage system at the t moment is +.>Is 0; when the real-time SOC measurement data is lower than the ideal operation upper limit SOC high Namely, when the real-time SOC measurement data is in the ideal SOC running interval or the low-limit SOC early-warning interval or the low-limit SOC forbidden interval, the real-time SOC measurement data is in the low-limit SOC early-warning interval or the low-limit SOC forbidden interval>Namely 0; when the real-time SOC measurement data is higher than the ideal operation upper limit SOC high And is lower than the upper limit of the upper limit prohibition SOC max Namely, when the real-time SOC measurement data is in the SOC high-limit early warning interval, the power of the base point of the energy storage system is +.>No adjustment is made.
Fig. 3 schematically illustrates a schematic diagram of a stored energy SOC correction bias in an embodiment of the present disclosure.
Specifically, the method for correcting the bias of the energy storage SOC includes a method for judging the effective state of the logic of correcting the energy storage SOC and a method for calculating the bias of the power of correcting the energy storage SOC, and the formula (d) of the method for judging the effective state of the logic of correcting the energy storage SOC is as follows:
the energy storage SOC correction bias mode is suitable for taking active management of the energy storage SOC into consideration when the energy storage SOC enters a low limit forbidden zone or a high limit forbidden zone, and avoids the influence on the service life of the energy storage SOC due to the fact that the energy storage SOC works in an overcharged/discharged state for a long time. If the upper limit threshold or the lower limit threshold of the SOC is directly adopted as the triggering and exiting conditions of the active management, the method is easyCausing discontinuities in the energy storage strategy and even causing power oscillations. Triggering and exiting of the energy storage SOC correction adjustment strategy adopts time division sequences and different threshold values, and the SOC correction logic effective state of the energy storage station i at the moment t is recorded as F soc-fix,i (t) the discrimination method is as follows:
F soc-fix,i (t) is the effective state of the energy storage SOC correction logic at the moment t, 1 represents the discharge correction state, -1 represents the charge correction state, 0 represents the exit correction state, and F when the real-time SOC measurement data is in the ideal SOC operation interval soc-fix,i (t) exiting the corrective state; f when the real-time SOC measurement data is in the SOC high-limit forbidden zone soc-fix,i (t) is a discharge correction state; f when the real-time SOC measurement data is in the SOC low limit forbidden zone soc-fix,i (t) is a state of charge correction; f, when the real-time SOC measurement data is in the SOC low-limit early-warning zone or the SOC high-limit early-warning zone soc-fix,i And (t) is the state of validity of the energy storage SOC correction logic in the previous second.
Specifically, the formula (e) of the energy storage SOC correction power offset amount calculating method is as follows:
P soc-offset,i (t) is the SOC correction offset of the energy storage system at the moment t; alpha represents the correction coefficient, when the energy storage SOC correction logic takes effect in state F soc-fix,i When (t) is 0, P soc-offset,i (t) is 0; when the energy storage SOC rectifies logic into effective state F soc-fix,i When (t) is 1, P soc-offset,i (t) is alpha multiplied by the rated discharge power of the energy storage systemWhen the energy storage SOC rectifies logic into effective state F soc-fix,i When (t) is 1, P soc-offset,i (t) is alpha multiplied by the rated discharge power of the energy storage system +.>When the energy storage SOC rectifies logic into effective state F soc-fix,i When (t) is-1, P soc-offset,i (t) is alpha times the rated charge power of the energy storage systemNegative values indicate that power is flowing from the grid to the energy storage system.
Fig. 4 schematically illustrates a schematic diagram of an energy storage system SOC-correction adjustment system 200 of the present disclosure.
Referring to fig. 4, an energy storage system SOC correction adjustment system 200 includes:
a real-time SOC data acquisition module 10, configured to acquire real-time SOC measurement data of the SCADA system;
the SOC validity checking module 20 is configured to perform SOC validity checking on the obtained real-time SOC measurement data to determine whether an abnormal quality code appears in the real-time SOC measurement data, so that a suspension mode control is required to be performed on the energy storage system;
the SOC correction interval checking module 30 is configured to perform SOC correction interval checking on the real-time SOC measurement data to determine an SOC correction interval in which the real-time SOC measurement data is located, and set four energy storage SOC critical points in the SOC range, where the SOC critical points include a lowest running lower limit SOC min Ideal running lower limit SOC low Upper ideal running limit SOC high And a highest running upper limit SOC max Wherein 0 is<SOC min <SOC low <SOC high <SOC max Dividing the energy storage SOC operation interval into five SOC correction intervals according to the four energy storage SOC critical points;
and the SOC correction module 40 is configured to execute different correction methods on the real-time SOC measurement data in different SOC correction intervals where the real-time SOC measurement data detected by the SOC correction interval detection module is located, where the correction methods include an energy storage adjustment upper limit correction method, an energy storage adjustment lower limit correction method, a base point forced correction method, and an energy storage SOC correction bias correction method.
According to the embodiment of the disclosure, the real-time SOC data is acquired through the real-time SOC data acquisition module 10, the real-time SOC data is subjected to validity check and interval check through the SOC validity check module 20 and the SOC correction interval check module 30, different SOC correction methods are executed through judging different SOC correction intervals in which the real-time SOC measurement data is located, the energy storage system SOC correction adjustment system disclosed by the application realizes coordination control of the energy storage system, not only the actual adjustment capacity of each energy storage station is considered, but also the SOC balance problem among the energy storage stations is considered, the complementary advantages are realized, and the power supply reliability of the system can be effectively improved.
Because each function of the SOC calibration adjustment system of the energy storage system is described in detail in the corresponding method embodiments, the disclosure is not repeated herein.
It should be noted that although in the above detailed description several modules or units of a device for action execution are mentioned, such a division is not mandatory. Indeed, the features and functionality of two or more modules or units described above may be embodied in one module or unit in accordance with embodiments of the present disclosure. Conversely, the features and functions of one module or unit described above may be further divided into a plurality of modules or units to be embodied.
In an exemplary embodiment of the present disclosure, an electronic device capable of implementing the above method is also provided.
Those skilled in the art will appreciate that the various aspects of the application may be implemented as a system, method, or program product. Accordingly, aspects of the application may be embodied in the following forms, namely: an entirely hardware embodiment, an entirely software embodiment (including firmware, micro-code, etc.) or an embodiment combining hardware and software aspects may be referred to herein as a "circuit," module "or" system.
An electronic device 300 according to this embodiment of the application is described below with reference to fig. 5. The electronic device 300 shown in fig. 5 is merely an example, and should not be construed as limiting the functionality and scope of use of embodiments of the present application.
As shown in fig. 5, the electronic device 300 is embodied in the form of a general purpose computing device. Components of electronic device 300 may include, but are not limited to: a memory 320, and a processor 310 coupled to the memory 320, the processor 310 being configured to perform the energy storage system SOC correction adjustment method 100 described above based on instructions stored in the memory 320. Data transfer is performed between the memory 320 and the processor 310 via the bus 330.
Therein, the memory 320 stores program code that may be executed by the processor 310 such that the processor 310 performs the steps according to various exemplary embodiments of the present application described in the above section of the exemplary method of the present specification. For example, the processor 310 may perform step S102 as shown in fig. 1, acquiring real-time SOC measurement data of the SCADA system; step S104, carrying out SOC validity check on the real-time SOC measurement data obtained in the step S102 to judge whether an abnormal quality code appears in the real-time SOC measurement data, so that a suspension mode control is required to be carried out on the energy storage system; step S106, performing SOC correction interval test on the real-time SOC measurement data obtained in step S102 to determine an SOC correction interval in which the real-time SOC measurement data is located, and setting four energy storage SOC critical points in an SOC range, wherein the SOC critical points comprise a lowest running lower limit SOC min Ideal running lower limit SOC low Upper ideal running limit SOC high And a highest running upper limit SOC max Wherein 0 is<SOC min <SOC low <SOC high <SOC max Dividing the energy storage SOC operation interval into five SOC correction intervals according to the four energy storage SOC critical points; step S108, executing different correction methods on the real-time SOC measurement data according to different SOC correction intervals where the real-time SOC measurement data detected in step S106 are located, wherein the correction methods comprise an energy storage adjustment upper limit correction method, an energy storage adjustment lower limit correction method, a base point forced correction method and an energy storage SOC correction bias correction method.
Memory 320 may include readable media in the form of volatile memory units, such as Random Access Memory (RAM) 3201 and/or cache memory 3202, and may further include Read Only Memory (ROM) 3203.
Memory 320 may also include a program/utility 3204 having a set (at least one) of program modules 3205, such program modules 3205 including, but not limited to: an operating system, one or more application programs, other program modules, and program data, each or some combination of which may include an implementation of a network environment.
Bus 330 may be one or more of several types of bus structures including a memory unit bus or memory unit controller, a peripheral bus, an accelerated graphics port, a processing unit, or a local bus using any of a variety of bus architectures.
The electronic device 300 may also communicate with one or more external devices 400 (e.g., keyboard, pointing device, bluetooth device, etc.), one or more devices that enable a user to interact with the electronic device 300, and/or any device (e.g., router, modem, etc.) that enables the electronic device 300 to communicate with one or more other computing devices. Such communication may occur through an input/output (I/O) interface 350. Also, electronic device 300 may communicate with one or more networks such as a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the Internet, through network adapter 360. As shown, the network adapter 360 communicates with other modules of the electronic device 300 over the bus 330. It should be appreciated that although not shown, other hardware and/or software modules may be used in connection with electronic device 300, including, but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, data backup storage systems, and the like.
From the above description of embodiments, those skilled in the art will readily appreciate that the example embodiments described herein may be implemented in software, or may be implemented in software in combination with the necessary hardware. Thus, the technical solution according to the embodiments of the present disclosure may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (may be a CD-ROM, a U-disk, a mobile hard disk, etc.) or on a network, including several instructions to cause a computing device (may be a personal computer, a server, a terminal device, or a network device, etc.) to perform the method according to the embodiments of the present disclosure.
In an exemplary embodiment of the present disclosure, a computer-readable storage medium having stored thereon a program product capable of implementing the method described above in the present specification is also provided. In some possible embodiments, the various aspects of the application may also be implemented in the form of a program product comprising program code for causing a terminal device to carry out the steps according to the various exemplary embodiments of the application as described in the "exemplary methods" section of this specification, when said program product is run on the terminal device.
The program product for implementing the above-described method according to an embodiment of the present application may employ a portable compact disc read-only memory (CD-ROM) and include program code, and may be run on a terminal device such as a personal computer. However, the program product of the present application is not limited thereto, and in this document, a readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
The program product may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. The readable storage medium can be, for example, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium would include the following: an electrical connection having one or more wires, a portable disk, a hard disk, random Access Memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
The computer readable signal medium may include a data signal propagated in baseband or as part of a carrier wave with readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A readable signal medium may also be any readable medium that is not a readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Program code for carrying out operations of the present application may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C++ or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device, partly on a remote computing device, or entirely on the remote computing device or server. In the case of remote computing devices, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., connected via the Internet using an Internet service provider).
Furthermore, the above-described drawings are only schematic illustrations of processes included in the method according to the exemplary embodiment of the present application, and are not intended to be limiting. It will be readily appreciated that the processes shown in the above figures do not indicate or limit the temporal order of these processes. In addition, it is also readily understood that these processes may be performed synchronously or asynchronously, for example, among a plurality of modules.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any adaptations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
Claims (4)
1. The method for correcting and adjusting the SOC of the energy storage system is characterized by comprising the following steps of:
(1) Acquiring real-time SOC measurement data of the SCADA system;
(2) Performing SOC validity check on the real-time SOC measurement data obtained in the step (1) to judge whether an abnormal quality code appears in the real-time SOC measurement data, so that the energy storage system needs to be subjected to pause mode control;
(3) Performing SOC correction interval test on the real-time SOC measurement data obtained in the step (1) to judge an SOC correction interval in which the real-time SOC measurement data is located, and setting four energy storage SOC critical points in an SOC range, wherein the SOC critical points comprise the lowest running lower limit SOC min Ideal running lower limit SOC low Upper ideal running limit SOC high And a highest running upper limit SOC max Wherein 0 is<SOC min <SOC low <SOC high <SOC max Dividing the energy storage SOC operation interval into five SOC correction intervals according to the four energy storage SOC critical points;
(4) Executing different correction methods on the real-time SOC measurement data according to different SOC correction intervals where the real-time SOC measurement data detected in the step (3) are located, wherein the correction methods comprise an energy storage adjustment upper limit correction method, an energy storage adjustment lower limit correction method, a base point forced correction method and an energy storage SOC correction bias correction method;
the SOC correction section comprises an SOC low limit prohibition section, an SOC low limit early warning section, an SOC ideal operation section, an SOC high limit early warning section and an SOC high limit prohibition section, wherein the SOC low limit prohibition section is 0 to SOC min The SOC low-limit early warning interval is SOC min To SOC low The ideal running interval of the SOC is the SOC low To SOC high The SOC high-limit early warning interval is SOC high To SOC max The SOC high limit forbidden interval is SOC max To 100;
the formula (a) of the energy storage regulation upper limit correction method is as follows:
regulating the maximum value of the power of the energy storage system at the moment t, and when the real-time SOC measurement data is in the SOC low limit forbidden zone, adding the maximum value to the real-time SOC measurement data>Is 0; when the real-time SOC measurement data is in the SOC low-limit early-warning interval, the user is added with the program code for the user to perform the real-time SOC measurement>Proportional relation with the ideal lower limit deviation of the SOC; when the real-time SOC measurement data is in the ideal SOC running interval or the high-limit SOC early-warning interval or the high-limit SOC forbidden interval, the system is in the low-limit SOC early-warning interval>Namely the rated discharge power of the energy storage system>
The formula (b) of the energy storage regulation lower limit correction method is as follows:
the minimum value is adjusted for the power of the energy storage system at the moment t,when the real-time SOC measurement data is in the SOC high-limit forbidden interval, the method comprises the step of +_f>Is 0; when the real-time SOC measurement data is in the SOC high-limit early-warning interval, the user is added with the information of the user>Proportional relation with the ideal upper limit deviation of the SOC; when the real-time SOC measurement data is lower than the ideal upper-limit SOC high Namely, when the real-time SOC measurement data is in an ideal SOC running interval or the low-limit SOC early-warning interval or the low-limit SOC forbidden interval, the system is in the _in state of charge (SOC)>Namely the rated charging power of the energy storage system>Negative values indicate that power is flowing from the grid to the energy storage system;
wherein, the formula (c) of the base point forced correction method is as follows:
when the real-time SOC measurement data is in the SOC high-limit forbidden interval, the power of the base point of the energy storage system at the moment t is a forced value, and the real-time SOC measurement data is in the SOC high-limit forbidden interval>Is 0; when the real-time SOC measurement data is lower than the ideal upper-limit SOC high Namely, when the real-time SOC measurement data is in the ideal running interval of the SOC or the low-limit pre-warning interval of the SOC or the low-limit forbidden interval of the SOC,namely 0; when the real-time SOC measurement data is higher than the ideal operation upper limit SOC high And is lower than the upper limit of the upper limit prohibition SOC max I.e. when the real-time SOC measurement data is in the SOC high-limit early warning interval, the power of the base point of the energy storage system is calculatedNo adjustment is made;
the energy storage SOC correction bias correction method comprises an energy storage SOC correction logic effective state judgment method and an energy storage SOC correction power bias amount calculation method, wherein the energy storage SOC correction logic effective state judgment method comprises the following formula (d):
the energy storage SOC correction bias mode is suitable for taking active management of the energy storage SOC into consideration when the energy storage SOC enters a low limit forbidden zone or a high limit forbidden zone, so that the long-term working in an overcharging/discharging state is avoided, and the service life of the energy storage SOC is influenced; if the upper limit threshold or the lower limit threshold of the SOC is directly adopted as the triggering and exiting conditions of active management, the energy storage strategy is easy to be discontinuous and even power oscillation is easy to be caused; triggering and exiting of the energy storage SOC correction adjustment strategy adopts time division sequences and different threshold values, and the SOC correction logic effective state of the energy storage station i at the moment t is recorded as F soc-fix,i (t) the discrimination method is as follows:
F soc-fix,i (t) is the effective state of the energy storage SOC correction logic at the moment t, 1 represents the discharge correction state, -1 represents the charge correction state, 0 represents the exit correction state, and F is the time when the real-time SOC measurement data is in the ideal SOC operation interval soc-fix,i (t) exiting the corrective state; f when the real-time SOC measurement data is in the SOC high-limit forbidden interval soc-fix,i (t) is a discharge correction state; f when the real-time SOC measurement data is in the SOC low limit forbidden interval soc-fix,i (t) is a state of charge correction; when the real-time SOC measurement data is in the SOC low limit early warning area or the SOC high limit early warning areaDuring the alert zone, F soc-fix,i (t) is the state of validity of the stored energy SOC remediation logic for the previous second;
the formula (e) of the energy storage SOC correction power offset amount calculating method is as follows:
P soc-offset,i (t) is the SOC correction offset of the energy storage system at the moment t; alpha represents the correction coefficient, when the energy storage SOC correction logic takes effect in state F soc-fix,i When (t) is 0, P soc-offset,i (t) is 0; when the energy storage SOC rectifies logic effective state F soc-fix,i When (t) is 1, P soc-offset,i (t) is alpha multiplied by the rated discharge power of the energy storage systemWhen the energy storage SOC rectifies logic effective state F soc-fix,i When (t) is-1, P soc-offset,i (t) is alpha multiplied by the rated charge power of the energy storage system +.>Negative values indicate that power is flowing from the grid to the energy storage system.
2. An energy storage system SOC correction adjustment system applying the energy storage system SOC correction adjustment method of claim 1, comprising:
the real-time SOC data acquisition module is used for acquiring real-time SOC measurement data of the SCADA system;
the SOC validity checking module is used for carrying out SOC validity checking on the acquired real-time SOC measurement data so as to judge whether the real-time SOC measurement data has abnormal quality codes or not, so that the energy storage system needs to be subjected to pause mode control;
the SOC correction interval checking module is used for performing SOC correction interval checking on the real-time SOC measurement data to judge an SOC correction interval where the real-time SOC measurement data is located, and four storage units are arranged in an SOC rangeAn SOC capable threshold comprising a minimum operating lower limit SOC min Ideal running lower limit SOC low Upper ideal running limit SOC high And a highest running upper limit SOC max Wherein 0 is<SOC min <SOC low <SOC high <SOC max Dividing the energy storage SOC operation interval into five SOC correction intervals according to the four energy storage SOC critical points;
and the SOC correction module is used for executing different correction methods on the real-time SOC measurement data in different SOC correction intervals where the real-time SOC measurement data are detected by the SOC correction interval detection module, wherein the correction methods comprise an energy storage adjustment upper limit correction method, an energy storage adjustment lower limit correction method, a base point forced correction method and an energy storage SOC correction bias correction method.
3. An electronic device, comprising:
a memory; and
a processor coupled to the memory, the processor configured to perform the energy storage system SOC correction adjustment method of claim 1 based on instructions stored in the memory.
4. A computer-readable storage medium having stored thereon a program which, when executed by a processor, implements the energy storage system SOC correction adjustment method of claim 1.
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