CN114268141A - Energy storage system SOC correction and adjustment method and system - Google Patents

Energy storage system SOC correction and adjustment method and system Download PDF

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CN114268141A
CN114268141A CN202111133134.7A CN202111133134A CN114268141A CN 114268141 A CN114268141 A CN 114268141A CN 202111133134 A CN202111133134 A CN 202111133134A CN 114268141 A CN114268141 A CN 114268141A
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CN114268141B (en
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陈婷婷
陈一平
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Zhejiang Huayun Electric Power Engineering Design Consulting Co
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Zhejiang Huayun Electric Power Engineering Design Consulting Co
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Abstract

The invention provides an energy storage system SOC correction and adjustment method and system, which realize coordination control of an energy storage system by acquiring real-time SOC data, performing validity check and interval check on the real-time SOC data and executing different SOC correction methods by judging different SOC correction intervals where the real-time SOC measurement data are located.

Description

Energy storage system SOC correction and adjustment method and system
Technical Field
The disclosure relates to the technical field of power system control, in particular to a method and a system for correcting and adjusting an energy storage system SOC.
Background
With the rapid development of new energy industry in China, renewable energy sources such as wind energy, solar energy, ocean energy, geothermal energy and the like are widely applied to power generation of a power system, the proportion of the renewable energy sources is larger and larger, but the new energy power generation has the characteristics of randomness, intermittency and the like, so that the development and the utilization of the new energy power generation are restricted. The energy storage system/device can quickly realize the absorption and release of active power, so that the renewable new energy with intermittence and strong volatility becomes adjustable and controllable. Therefore, the combined power generation system formed by combining the new energy and the stored energy 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 is an inactive power supply, the construction cost is high, and the capacity and the electric quantity are very limited, 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, wherein the secondary frequency modulation is also called Automatic Generation Control (AGC), and constant Control of the power grid frequency and the power of a connecting line is realized by adjusting the active output of a frequency modulation power supply in a power grid in real time. Due to the fact that power structures in different regions are different greatly, the frequency modulation capability and efficiency of a regional power grid are different, and particularly in recent years, with the development of an intelligent power grid and the large-scale access of a new energy station to a power system, the power grid puts 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 adjusting resource, and one remarkable difference from the traditional resource is that the energy storage resource is not a primary energy source and cannot maintain constant output for a long time. And the unbalance of the charge levels among the energy storage power stations constructed in a dispersed layout can also influence the polymerization response characteristic of the energy storage as a whole.
It is to be noted that the information disclosed in the above background section is only for enhancement of 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 present disclosure is directed to a method and a system for correcting and adjusting an SOC of an energy storage system, which are used to overcome, at least to a certain extent, a problem that local energy storage control and grid overall control cannot be considered due to limitations and defects of related technologies.
According to one aspect of the disclosure, an energy storage system SOC correction adjustment method is provided, which includes the following steps:
(1) acquiring real-time SOC measurement data of the SCADA system;
(2) carrying out SOC validity check on the real-time SOC measurement data acquired in the step (1) to judge whether the real-time SOC measurement data has abnormal quality codes or not, so that the energy storage system needs to be controlled in a pause mode;
(3) carrying out SOC correction interval inspection on the real-time SOC measurement data obtained in the step (1) to judge an SOC correction interval where the real-time SOC measurement data is located, wherein four energy storage SOC critical points are arranged in an SOC range, and the SOC critical points comprise a lowest running lower limit SOCminIdeal lower limit of operation SOClowAnd an ideal upper limit of operation SOChighAnd the maximum upper limit of operation SOCmaxWherein 0 is<SOCmin＜SOClow＜SOChigh＜SOCmaxIf the number is less than 100, dividing the energy storage SOC operation interval into five SOC correction intervals according to the four energy storage SOC critical points;
(4) and (4) executing different correction methods on the real-time SOC measurement data according to different SOC correction intervals in which the real-time SOC measurement data detected in the step (3) are located, wherein the correction methods comprise an energy storage regulation upper limit correction method, an energy storage regulation lower limit correction method, a base point forced correction method and an energy storage SOC correction offset correction method.
In an exemplary embodiment of the present disclosure, the SOC correction interval includes an SOC low limit forbidden interval, an SOC low limit early warning interval, an SOC ideal operation interval, an SOC high limit early warning interval, and an SOC high limit forbidden interval, and the SOC low limit forbidden interval is 0 to SOCminThe SOC low limit early warning interval is SOCminTo SOClowThe ideal SOC operation interval is SOClowTo SOChighThe SOC high limit early warning interval is SOChighTo SOCmaxThe SOC high limit forbidden interval is SOCmaxTo 100.
In an exemplary embodiment of the present disclosure, formula (a) of the energy storage adjustment upper limit correction method is as follows:
Figure RE-GDA0003316213140000021
Figure RE-GDA0003316213140000031
adjusting the maximum value of the energy storage system power at the time t, when the real-time SOC measurement data is in the SOC low limit forbidden interval,
Figure RE-GDA0003316213140000032
is 0; when the real-time SOC measurement data is in the SOC low-limit early warning interval,
Figure RE-GDA0003316213140000033
proportional relation with the deviation of the ideal lower limit of SOC; when the real-time SOC measurement data is in an SOC ideal operation zone or the SOC high limit early warning zone or the SOC high limit forbidden zone,
Figure RE-GDA0003316213140000034
namely rated discharge power of the energy storage system
Figure RE-GDA0003316213140000035
In an exemplary embodiment of the present disclosure, equation (b) of the energy storage adjustment lower limit correction method is as follows:
Figure RE-GDA0003316213140000036
Figure RE-GDA0003316213140000037
adjusting the minimum value of the energy storage system power at the time t, when the real-time SOC measurement data is in the SOC high limit correction interval,
Figure RE-GDA0003316213140000038
is 0; when the real-time SOC measurement data is in the SOC high-limit early warning interval,
Figure RE-GDA0003316213140000039
proportional relation with the SOC ideal upper limit deviation amount; when the real-time SOC measurement data is lower than the ideal operation upper limit SOChighWhen the real-time SOC measurement data is in an SOC ideal operation zone or the SOC low limit early warning zone or the SOC low limit forbidden zone,
Figure RE-GDA00033162131400000310
namely the rated charging power of the energy storage system
Figure RE-GDA00033162131400000311
Negative values indicate that power is flowing from the grid to the energy storage system.
In an exemplary embodiment of the present disclosure, formula (c) of the base point forcible correction method is as follows:
Figure RE-GDA00033162131400000312
Figure RE-GDA00033162131400000313
the base point power mandatory value of the energy storage system at the time t is obtained, when the real-time SOC measurement data is in the SOC high limit forbidden interval,
Figure RE-GDA00033162131400000314
is 0; when the real-time SOC measurement data is lower than the ideal operation upper limit SOChighWhen the real-time SOC measurement data is in an SOC ideal operation zone or the SOC low limit early warning zone or the SOC low limit forbidden zone,
Figure RE-GDA00033162131400000315
is 0; when the real-time SOC measurement data is higher than the ideal operation upper limit SOChighAnd is lower than the upper limit forbidden SOCmaxNamely, 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 measured
Figure RE-GDA0003316213140000041
No adjustment is made.
In an exemplary embodiment of the present disclosure, the energy storage SOC correction offset correction method includes an energy storage SOC correction logic effective state determination method and an energy storage SOC correction power offset amount calculation method, and a formula (d) of the energy storage SOC correction logic effective state determination method is as follows:
the energy storage SOC correction bias mode is suitable for active management of the energy storage SOC when the energy storage SOC enters a low limit forbidden interval or a high limit forbidden interval, and the influence on the service life of the energy storage SOC due to the fact that the energy storage SOC works in an overcharge/discharge state for a long time is avoided. If the SOC upper limit threshold or the SOC lower limit threshold is directly used as the trigger and exit condition for active management, the discontinuity of the energy storage strategy and even the power oscillation are easily caused. Triggering and quitting the energy storage SOC correction regulation strategy adopt time sequence division and different threshold values, and the effective state of the SOC correction logic of the energy storage station i at the moment of t is recorded as Fsoc-fix,i(t), the discrimination method is as follows:
Figure RE-GDA0003316213140000042
Fsoc-fix,i(t) at time t, the energy storage SOC correction logic is in an effective state, 1 represents a discharge correction state, 1 represents a charge correction state, 0 represents an exit correction state, and F is the time when the real-time SOC measurement data is in the SOC ideal operation intervalsoc-fix,i(t) exiting the corrective state; when the real-time SOC measurement data is in the SOC high limit forbidden interval, Fsoc-fix,i(t) is the discharge correction state; when the real-time SOC measurement data is in the SOC low limit forbidden interval, Fsoc-fix,i(t) is the state of charge correction; when the real-time SOC measurement data is in the SOC low limit early warning interval or the SOC high limit early warning interval, Fsoc-fix,iAnd (t) the effective state of the energy storage SOC correction logic in the previous second.
In an exemplary embodiment of the present disclosure, formula (e) of the energy storage SOC correction power offset calculation method is as follows:
Figure RE-GDA0003316213140000051
Psoc-offset,i(t) correcting the SOC offset of the energy storage system at the time t; alpha represents a correction coefficient, and when the energy storage SOC correction logic is in an effective state Fsoc-fix,iWhen (t) is 0, Psoc-offset,i(t) is 0; when the energy storage SOC correction logic is in an effective state Fsoc-fix,iWhen (t) is 1, Psoc-offset,i(t) is alpha multiplied by the rated discharge power of the energy storage system
Figure RE-GDA0003316213140000052
When the energy storage SOC correction logic is in an effective state Fsoc-fix,iWhen (t) is 1, Psoc-offset,i(t) is alpha multiplied by the rated discharge power of the energy storage system
Figure RE-GDA0003316213140000053
When the energy storage SOC correction logic is in an effective state Fsoc-fix,iWhen (t) is-1, Psoc-offset，i(t) is alpha multiplied by the rated charging power of the energy storage system
Figure RE-GDA0003316213140000054
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, 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 obtained real-time SOC measurement data so as to judge whether the real-time SOC measurement data has abnormal quality codes or not, and therefore the energy storage system needs to be controlled in a pause mode;
the SOC correction interval inspection module is used for carrying out SOC correction interval inspection on the real-time SOC measurement data so as to judge an SOC correction interval where the real-time SOC measurement data is located, four energy storage SOC critical points are arranged in an SOC range, and the SOC critical point packageIncluding the lowest lower limit of operation SOCminIdeal lower limit of operation SOClowAnd an ideal upper limit of operation SOChighAnd the maximum upper limit of operation SOCmaxWherein 0 is<SOCmin＜SOClow＜SOChigh＜SOCmaxIf the number is less than 100, 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 in which the real-time SOC measurement data detected by the SOC correction interval detection module 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 offset correction method.
According to an 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 execute the energy storage system SOC correction adjustment method as described above based on instructions stored in the memory.
According to an 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.
The method and the system for correcting and adjusting the SOC of the energy storage system realize the coordination control of the energy storage system by acquiring the real-time SOC data, performing validity check and interval check on the real-time SOC data and executing different SOC correction methods by judging different SOC correction intervals in which the real-time SOC measurement data is positioned.
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 present disclosure and together with the description, serve to explain the principles of the disclosure. It is to be understood that the drawings in the following description are merely exemplary of the disclosure, and that other drawings may be derived from those drawings by one of ordinary skill in the art without the exercise of inventive faculty.
Fig. 1 schematically shows a flow chart 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 a regulation range of an energy storage SOC operating region in one embodiment of the present disclosure.
Fig. 3 schematically illustrates a schematic diagram of energy storage SOC correction biasing in one embodiment of the present disclosure.
Fig. 4 schematically illustrates a schematic diagram of the energy storage system SOC correction conditioning system 200 of the present disclosure.
Fig. 5 schematically shows a block diagram of an electronic device 300 in an exemplary embodiment of the disclosure.
Detailed Description
Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many different 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 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 disclosure. One skilled in the relevant art will recognize, however, that the subject matter of the present disclosure can be practiced without one or more of the specific details, or with other methods, components, devices, steps, and the like. In other instances, well-known technical solutions have not been shown or described in detail to avoid obscuring aspects of the present disclosure.
Further, the drawings are merely 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 the form of 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 detailed description of exemplary embodiments of the disclosure refers to the accompanying drawings.
Fig. 1 schematically shows a flow chart 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 acquired in the step S102 to judge whether the real-time SOC measurement data has abnormal quality codes or not, so that the energy storage system needs to be controlled in a pause mode;
step S106, carrying out SOC correction interval inspection on the real-time SOC measurement data acquired in the step S102 to judge an SOC correction interval where the real-time SOC measurement data is located, wherein four energy storage SOC critical points are arranged in an SOC range, and the SOC critical points comprise a lowest running lower limit SOCminIdeal lower limit of operation SOClowAnd an ideal upper limit of operation SOChighAnd the maximum upper limit of operation SOCmaxWherein 0 is<SOCmin＜SOClow＜SOChigh＜SOCmaxIf the number is less than 100, 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 in which the real-time SOC measurement data detected in step S106 are 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 offset correction method.
The method for correcting and adjusting the SOC of the energy storage system realizes coordination control of the energy storage system by acquiring the real-time SOC data, performing validity check and interval check on the real-time SOC data and executing different SOC correction methods by judging different SOC correction intervals where the real-time SOC measurement data are located.
The steps of the energy storage system SOC correction adjustment method 100 are described in detail below.
And 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 acquired in the step S102 to judge whether the real-time SOC measurement data has abnormal quality codes or not, so that the energy storage system needs to be controlled in a pause mode.
Step S106, carrying out SOC correction interval inspection on the real-time SOC measurement data acquired in the step S102 to judge an SOC correction interval where the real-time SOC measurement data is located, wherein four energy storage SOC critical points are arranged in an SOC range, and the SOC critical points comprise a lowest running lower limit SOCminIdeal lower limit of operation SOClowAnd an ideal upper limit of operation SOChighAnd the maximum upper limit of operation SOCmaxWherein 0 is<SOCmin＜SOClow＜SOChigh＜SOCmaxIf the number is less than 100, dividing the energy storage SOC operation interval into five SOC correction intervals according to the four energy storage SOC critical points. The specific energy storage SOC critical point and SOC correction interval are shown in table 1.
Figure RE-GDA0003316213140000081
TABLE 1 SOC threshold value and SOC correction interval corresponding table
Fig. 2 schematically illustrates a schematic diagram of energy storage SOC correction biasing in one embodiment of the present disclosure.
Referring to fig. 2, specifically, when the SOC of the energy storage system operates in an ideal interval, the control instruction of the energy storage system directly obtains the calculation result of the control demand and corrects the calculation result according to the allowable charge-discharge level of the control demand;
specifically, when the SOC of the energy storage system runs in an early warning interval, an instruction in the direction of deteriorating the SOC level is restrained;
specifically, when the SOC of the energy storage system runs in a forbidden interval, the energy storage system only responds to the control requirement of the SOC for recovering an ideal interval; and simultaneously starting the 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 in which the real-time SOC measurement data detected in step S106 are 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 offset correction method.
And S104, establishing a conventional unit control model and an energy storage system control model in the AGC system control area, and acquiring conventional unit control model information and energy storage system control model information.
And S106, calculating the frequency modulation index of the conventional unit and the frequency modulation index of the energy storage system of the power generation system under the control scene and the control strategy according to the control scene and the control strategy of the power generation system currently participating in AGC and the real-time data acquired in the step S102.
Specifically, formula (a) of the energy storage adjustment upper limit correction method is as follows:
Figure RE-GDA0003316213140000091
wherein the content of the first and second substances,
Figure RE-GDA0003316213140000092
adjusting the maximum value of the energy storage system power at the time t, when the real-time SOC measurement data is in the SOC low limit forbidden interval,
Figure RE-GDA0003316213140000093
is 0; when the real-time SOC measurement data is in the SOC low-limit early warning interval,
Figure RE-GDA0003316213140000094
proportional relation with the deviation of the ideal lower limit of SOC; when the real-time SOC measurement data is in an SOC ideal operation zone or an SOC high limit early warning zone or an SOC high limit forbidden zone,
Figure RE-GDA0003316213140000095
namely rated discharge power of the energy storage system
Figure RE-GDA0003316213140000096
Specifically, the formula (b) of the energy storage adjustment lower limit correction method is as follows:
Figure RE-GDA0003316213140000097
Figure RE-GDA0003316213140000098
the minimum value of the energy storage system power adjustment at the time t is obtained, when the real-time SOC measurement data is in the SOC high limit correction interval,
Figure RE-GDA0003316213140000099
is 0; when the real-time SOC measurement data is in the SOC high-limit early warning interval,
Figure RE-GDA00033162131400000910
proportional relation with the SOC ideal upper limit deviation amount; when the real-time SOC measurement data is lower than the ideal operation upper limit SOChighNamely, when the real-time SOC measurement data is in the SOC ideal operation region or the SOC low limit early warning region or the SOC low limit forbidden region,
Figure RE-GDA00033162131400000911
namely the rated charging power of the energy storage system
Figure RE-GDA00033162131400000912
Negative values indicate that power is flowing from the grid to the energy storage system.
Specifically, the base point forced correction method is suitable for automatic mode stations, such as automatic, base point, planning, charging and discharging, and when the energy storage SOC is in the forbidden interval, the original base point needs to be forcibly corrected under the following scenes: when the energy storage SOC is in the high limit prohibition interval, starting a charge prohibition logic, and forcibly setting a base point larger than zero to zero; when the energy storage SOC is in the low limit prohibition interval, the prohibition logic is started, the base point which is smaller than zero is forcibly set to be zero, and for the non-automatic mode station, the base point is set to be zero under the typical pause and waiting mode, so that the energy storage control object is prevented from keeping the charging/discharging state for a long time in the uncontrolled period.
The formula (c) of the base point forced correction method is as follows:
Figure RE-GDA0003316213140000101
Figure RE-GDA0003316213140000102
the base point power forced value of the energy storage system at the time t, when the real-time SOC measurement data is in the SOC high limit forbidden interval,
Figure RE-GDA0003316213140000103
is 0; when the real-time SOC measurement data is lower than the ideal operation upper limit SOChighNamely, when the real-time SOC measurement data is in the SOC ideal operation region or the SOC low limit early warning region or the SOC low limit forbidden region,
Figure RE-GDA0003316213140000104
is 0; when the real-time SOC measurement data is higher than the ideal operation upper limit SOChighAnd is lower than the upper limit forbidden SOCmaxThat is, 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 measured
Figure RE-GDA0003316213140000105
No adjustment is made.
Fig. 3 schematically illustrates a schematic diagram of energy storage SOC correction biasing in one embodiment of the present disclosure.
Specifically, the energy storage SOC correction offset correction method includes an energy storage SOC correction logic effective state determination method and an energy storage SOC correction power offset calculation method, and a formula (d) of the energy storage SOC correction logic effective state determination method is as follows:
the energy storage SOC correction bias mode is suitable for active management of the energy storage SOC when the energy storage SOC enters a low limit forbidden interval or a high limit forbidden interval, and the influence on the service life of the energy storage SOC due to the fact that the energy storage SOC works in an overcharge/discharge state for a long time is avoided. If the SOC upper limit threshold or the SOC lower limit threshold is directly used as the trigger and exit condition for active management, the discontinuity of the energy storage strategy and even the power oscillation are easily caused. Triggering and quitting the energy storage SOC correction regulation strategy adopt time sequence division and different threshold values, and the effective state of the SOC correction logic of the energy storage station i at the moment of t is recorded as Fsoc-fix,i(t), the discrimination method is as follows:
Figure RE-GDA0003316213140000106
Fsoc-fix,i(t) at the moment t, the energy storage SOC correction logic is in an effective state, 1 represents a discharge correction state, 1 represents a charge correction state, 0 represents an exit correction state, and F is the time when the real-time SOC measurement data is in an SOC ideal operation intervalsoc-fix,i(t) exiting the corrective state; when the real-time SOC measurement data is in the SOC high limit forbidden interval, Fsoc-fix,i(t) is the discharge correction state; when the real-time SOC measurement data is in the SOC low limit forbidden interval, Fsoc-fix,i(t) is the state of charge correction; when the real-time SOC measurement data is in the SOC low limit early warning interval or the SOC high limit early warning interval, Fsoc-fix,iAnd (t) the effective state of the energy storage SOC correction logic in the previous second.
Specifically, formula (e) of the energy storage SOC correction power offset calculation method is as follows:
Figure RE-GDA0003316213140000111
Psoc-offset,i(t) correcting the SOC offset of the energy storage system at the time t; alpha is a correction coefficient, and when the energy storage SOC correction logic is in an effective state Fsoc-fix,iWhen (t) is 0, Psoc-offset,i(t) is 0; when the energy storage SOC correction logic takes effectsoc-fix,iWhen (t) is 1, Psoc-offset,i(t) is alpha multiplied by the rated discharge power of the energy storage system
Figure RE-GDA0003316213140000112
When the energy storage SOC correction logic takes effectsoc-fix,iWhen (t) is 1, Psoc-offset,i(t) is alpha multiplied by the rated discharge power of the energy storage system
Figure RE-GDA0003316213140000113
When the energy storage SOC correction logic takes effectsoc-fix,iWhen (t) is-1, Psoc-offset,i(t) is alpha multiplied by the rated charging power of the energy storage system
Figure RE-GDA0003316213140000114
Negative values indicate that power is flowing from the grid to the energy storage system.
Fig. 4 schematically illustrates a schematic diagram of the energy storage system SOC correction conditioning 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 check module 20 is configured to perform SOC validity check on the acquired real-time SOC measurement data to determine whether the real-time SOC measurement data has an abnormal quality code, so that the energy storage system needs to be controlled in a suspension mode;
an SOC calibration interval inspection module 30, configured to perform SOC calibration interval inspection on the real-time SOC measurement data to determine an SOC calibration interval in which the real-time SOC measurement data is located, where four energy storage SOC critical points are set in an SOC rangeThe SOC critical point comprises a lowest operation lower limit SOCminIdeal lower limit of operation SOClowAnd an ideal upper limit of operation SOChighAnd the maximum upper limit of operation SOCmaxWherein 0 is<SOCmin＜SOClow＜SOChigh＜SOCmaxIf the number is less than 100, dividing the energy storage SOC operation interval into five SOC correction intervals according to the four energy storage SOC critical points;
the SOC correction module 40 is configured to perform different correction methods on the real-time SOC measurement data in different SOC correction intervals in which the real-time SOC measurement data detected by the SOC correction interval inspection 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 offset correction method.
The energy storage system SOC correction and regulation system disclosed by the embodiment of the invention realizes the coordination control of the energy storage system, not only considers the actual regulation capacity of each energy storage station, but also considers the SOC balance problem among the energy storage stations, realizes the advantage complementation and can effectively improve the power supply reliability of the system.
Since each function of the energy storage system SOC calibration and adjustment system has been described in detail in the corresponding method embodiment, the disclosure is not repeated herein.
It should be noted that although in the above detailed description several modules or units of the 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, according to embodiments of the present disclosure. Conversely, the features and functions of one module or unit described above may be further divided into embodiments by a plurality of modules or units.
In an exemplary embodiment of the present disclosure, an electronic device capable of implementing the above method is also provided.
As will be appreciated by one skilled in the art, aspects of the present invention may be embodied as a system, method or program product. Thus, various aspects of the invention may be embodied in the form of: an entirely hardware embodiment, an entirely software embodiment (including firmware, microcode, etc.) or an embodiment combining hardware and software aspects that may all generally be referred to herein as a "circuit," module "or" system.
An electronic device 300 according to this embodiment of the invention is described below with reference to fig. 5. The electronic device 300 shown in fig. 5 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present invention.
As shown in fig. 5, electronic device 300 is embodied in the form of a general purpose computing device. The 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 configured to execute the energy storage system SOC correction adjustment method 100 described above based on instructions stored in the memory 320. Data is transferred between the memory 320 and the processor 310 via the bus 330.
Wherein the memory 320 stores program code that may be executed by the processor 310 to cause said processor 310 to perform the steps according to various exemplary embodiments of the present invention as described in the above section "exemplary method" of the present specification. For example, the processor 310 may execute step S102 shown in fig. 1 to obtain real-time SOC measurement data of the SCADA system; step S104, carrying out SOC validity check on the real-time SOC measurement data acquired in the step S102 to judge whether the real-time SOC measurement data has abnormal quality codes or not, so that the energy storage system needs to be controlled in a pause mode; step S106, carrying out SOC correction interval inspection on the real-time SOC measurement data acquired in the step S102 to judge an SOC correction interval where the real-time SOC measurement data is located, wherein four energy storage SOC critical points are arranged in an SOC range, and the SOC critical points comprise a lowest running lower limit SOCminIdeal lower limit of operation SOClowAnd an ideal upper limit of operation SOChighAnd the maximum upper limit of operation SOCmaxWherein 0 is<SOCmin＜SOClow＜SOChigh＜SOCmaxIf the number is less than 100, 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 in which the real-time SOC measurement data detected in step S106 are 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 offset correction method.
The memory 320 may include readable media in the form of volatile storage units, such as a random access memory unit (RAM)3201 and/or a cache memory unit 3202, and may further include a read only memory unit (ROM) 3203.
The 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 of which, or some combination thereof, may comprise 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.), with one or more devices that enable a user to interact with the electronic device 300, and/or with any devices (e.g., router, modem, etc.) that enable the electronic device 300 to communicate with one or more other computing devices. Such communication may occur via an input/output (I/O) interface 350. Also, the electronic device 300 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the internet) via the network adapter 360. As shown, network adapter 360 communicates with the other modules of electronic device 300 via bus 330. It should be appreciated that although not shown in the figures, other hardware and/or software modules may be used in conjunction with electronic device 300, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, among others.
Through the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments described herein may be implemented by software, or by software in combination with necessary hardware. Therefore, 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 (which may be a CD-ROM, a usb disk, a removable hard disk, etc.) or on a network, and includes several instructions to enable a computing device (which may be a personal computer, a server, a terminal device, or a network device, etc.) to execute the method according to the embodiments of the present disclosure.
In an exemplary embodiment of the present disclosure, there is also provided a computer-readable storage medium having stored thereon a program product capable of implementing the above-described method of the present specification. In some possible embodiments, aspects of the invention may also be implemented in the form of a program product comprising program code means for causing a terminal device to carry out the steps according to various exemplary embodiments of the invention described in the above section "exemplary methods" of the present description, when said program product is run on the terminal device.
The program product for implementing the above method according to an embodiment of the present invention may employ a portable compact disc read only memory (CD-ROM) and include program codes, and may be run on a terminal device, such as a personal computer. However, the program product of the present invention is not limited in this regard and, in the present 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. A readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium include: an electrical connection having one or more wires, a portable disk, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
A computer readable signal medium may include a propagated data signal with readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. 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 for aspects of the present invention 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 and partly on a remote computing device, or entirely on the remote computing device or server. In the case of a remote computing device, 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., through the internet using an internet service provider).
Furthermore, the above-described figures are merely schematic illustrations of processes involved in methods according to exemplary embodiments of the invention, and are not intended to be limiting. It will be readily understood that the processes shown in the above figures are not intended to indicate or limit the chronological order of the processes. In addition, it is also readily understood that these processes may be performed synchronously or asynchronously, e.g., in multiple 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 variations, 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 in 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 (10)

1. An energy storage system SOC correction and adjustment method is characterized by comprising the following steps:
(1) acquiring real-time SOC measurement data of the SCADA system;
(2) carrying out SOC validity check on the real-time SOC measurement data acquired in the step (1) to judge whether the real-time SOC measurement data has abnormal quality codes or not, so that the energy storage system needs to be controlled in a pause mode;
(3) carrying out SOC correction interval inspection on the real-time SOC measurement data obtained in the step (1) to judge an SOC correction interval where the real-time SOC measurement data is located, wherein four energy storage SOC critical points are arranged in an SOC range, and the SOC critical points comprise a lowest running lower limit SOCminIdeal lower limit of operation SOClowAnd an ideal upper limit of operation SOChighAnd the maximum upper limit of operation SOCmaxWherein 0 is<SOCmin＜SOClow＜SOChigh＜SOCmax< 100 according to the four energy storage SOC critical pointsDividing an energy storage SOC operation interval into five SOC correction intervals;
(4) and (4) executing different correction methods on the real-time SOC measurement data according to different SOC correction intervals in which the real-time SOC measurement data detected in the step (3) are located, wherein the correction methods comprise an energy storage regulation upper limit correction method, an energy storage regulation lower limit correction method, a base point forced correction method and an energy storage SOC correction offset correction method.
2. The energy storage system SOC correction and adjustment method of claim 1, wherein the SOC correction intervals comprise an SOC low limit forbidden interval, an SOC low limit early warning interval, an SOC ideal running interval, an SOC high limit early warning interval and an SOC high limit forbidden interval, and the SOC low limit forbidden interval is 0-SOCminThe SOC low limit early warning interval is SOCminTo SOClowThe ideal SOC operation interval is SOClowTo SOChighThe SOC high limit early warning interval is SOChighTo SOCmaxThe SOC high limit forbidden interval is SOCmaxTo 100.
3. The energy storage system SOC correction adjustment method according to claim 2, characterized in that the formula (a) of the energy storage adjustment upper limit correction method is as follows:
Figure RE-FDA0003316213130000011
Figure RE-FDA0003316213130000012
adjusting the maximum value of the energy storage system power at the time t, when the real-time SOC measurement data is in the SOC low limit forbidden interval,
Figure RE-FDA0003316213130000021
is 0; when the real-time SOC measurement data is in the SOC low-limit early warning interval,
Figure RE-FDA0003316213130000022
proportional relation with the deviation of the ideal lower limit of SOC; when the real-time SOC measurement data is in an SOC ideal operation zone or the SOC high limit early warning zone or the SOC high limit forbidden zone,
Figure RE-FDA0003316213130000023
namely rated discharge power of the energy storage system
Figure RE-FDA0003316213130000024
4. The energy storage system SOC correction adjustment method according to claim 2, characterized in that the formula (b) of the energy storage adjustment lower limit correction method is as follows:
Figure RE-FDA0003316213130000025
Figure RE-FDA0003316213130000026
adjusting the minimum value of the energy storage system power at the time t, when the real-time SOC measurement data is in the SOC high limit correction interval,
Figure RE-FDA0003316213130000027
is 0; when the real-time SOC measurement data is in the SOC high-limit early warning interval,
Figure RE-FDA0003316213130000028
proportional relation with the SOC ideal upper limit deviation amount; when the real-time SOC measurement data is lower than the ideal operation upper limit SOChighWhen the real-time SOC measurement data is in an SOC ideal operation zone or the SOC low limit early warning zone or the SOC low limit forbidden zone,
Figure RE-FDA0003316213130000029
namely the rated charging power of the energy storage system
Figure RE-FDA00033162131300000210
Negative values indicate that power is flowing from the grid to the energy storage system.
5. The energy storage system SOC correction adjustment method according to claim 2, characterized in that the formula (c) of the base point forced correction method is as follows:
Figure RE-FDA00033162131300000211
Figure RE-FDA00033162131300000212
the base point power mandatory value of the energy storage system at the time t is obtained, when the real-time SOC measurement data is in the SOC high limit forbidden interval,
Figure RE-FDA00033162131300000213
is 0; when the real-time SOC measurement data is lower than the ideal operation upper limit SOChighWhen the real-time SOC measurement data is in an SOC ideal operation zone or the SOC low limit early warning zone or the SOC low limit forbidden zone,
Figure RE-FDA00033162131300000214
is 0; when the real-time SOC measurement data is higher than the ideal operation upper limit SOChighAnd is lower than the upper limit forbidden SOCmaxNamely, 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 measured
Figure RE-FDA00033162131300000215
No adjustment is made.
6. The energy storage system SOC correction adjustment method of claim 2, characterized in that: 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 a formula (d) of the energy storage SOC correction logic effective state judgment method is as follows:
the energy storage SOC correction bias mode is suitable for active management of the energy storage SOC when the energy storage SOC enters a low limit forbidden interval or a high limit forbidden interval, and the influence on the service life of the energy storage SOC due to the fact that the energy storage SOC works in an overcharge/discharge state for a long time is avoided. If the SOC upper limit threshold or the SOC lower limit threshold is directly used as the trigger and exit condition for active management, the discontinuity of the energy storage strategy and even the power oscillation are easily caused. Triggering and quitting the energy storage SOC correction regulation strategy adopt time sequence division and different threshold values, and the effective state of the SOC correction logic of the energy storage station i at the moment of t is recorded as Fsoc-fix,i(t), the discrimination method is as follows:
Figure RE-FDA0003316213130000031
Fsoc-fix,i(t) at time t, the energy storage SOC correction logic is in an effective state, 1 represents a discharge correction state, 1 represents a charge correction state, 0 represents an exit correction state, and F is the time when the real-time SOC measurement data is in the SOC ideal operation intervalsoc-fix,i(t) exiting the corrective state; when the real-time SOC measurement data is in the SOC high limit forbidden interval, Fsoc-fix,i(t) is the discharge correction state; when the real-time SOC measurement data is in the SOC low limit forbidden interval, Fsoc-fix,i(t) is the state of charge correction; when the real-time SOC measurement data is in the SOC low limit early warning interval or the SOC high limit early warning interval, Fsoc-fix,iAnd (t) the effective state of the energy storage SOC correction logic in the previous second.
7. The energy storage system SOC correction adjustment method of claim 6, characterized in that:
the formula (e) of the method for calculating the corrected power offset of the energy storage SOC is as follows:
Figure RE-RE-FDA0003316213130000032
Psoc-offset,i(t) correcting the SOC offset of the energy storage system at the time t; alpha represents a correction coefficient, and when the energy storage SOC correction logic is in an effective state Fsoc-fix,iWhen (t) is 0, Psoc-offset,i(t) is 0; when the energy storage SOC correction logic is in an effective state Fsoc-fix,iWhen (t) is 1, Psoc-offset,i(t) is alpha multiplied by the rated discharge power of the energy storage system
Figure RE-RE-FDA0003316213130000041
When the energy storage SOC correction logic is in an effective state Fsoc-fix,iWhen (t) is 1, Psoc-offset,i(t) is alpha multiplied by the rated discharge power of the energy storage system
Figure RE-RE-FDA0003316213130000042
When the energy storage SOC correction logic is in an effective state Fsoc-fix,iWhen (t) is-1, Psoc-offset,i(t) is alpha multiplied by the rated charging power of the energy storage system
Figure RE-RE-FDA0003316213130000043
Negative values indicate that power is flowing from the grid to the energy storage system.
8. An energy storage system SOC correction adjustment system, 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 obtained real-time SOC measurement data so as to judge whether the real-time SOC measurement data has abnormal quality codes or not, and therefore the energy storage system needs to be controlled in a pause mode;
an SOC correction interval inspection module for performing SOC correction interval inspection on the real-time SOC measurement data to judge the real-time SOCMeasuring an SOC correction interval where data are located, and setting four energy storage SOC critical points in an SOC range, wherein the SOC critical points comprise a lowest running lower limit SOCminIdeal lower limit of operation SOClowAnd an ideal upper limit of operation SOChighAnd the maximum upper limit of operation SOCmaxWherein 0 is<SOCmin＜SOClow＜SOChigh＜SOCmaxIf the number is less than 100, 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 in which the real-time SOC measurement data detected by the SOC correction interval detection module 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 offset correction method.
9. 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 any of claims 1-7 based on instructions stored in the memory.
10. A computer-readable storage medium, on which a program is stored, which when executed by a processor implements the energy storage system SOC correction adjustment method according to any one of claims 1 to 7.
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