CN108923083B - Storage battery online detection and maintenance method based on risk assessment - Google Patents

Storage battery online detection and maintenance method based on risk assessment Download PDF

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CN108923083B
CN108923083B CN201810844401.3A CN201810844401A CN108923083B CN 108923083 B CN108923083 B CN 108923083B CN 201810844401 A CN201810844401 A CN 201810844401A CN 108923083 B CN108923083 B CN 108923083B
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陶中云
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Liuzhou Power Supply Bureau of Guangxi Power Grid Co Ltd
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    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M10/00—Secondary cells; Manufacture thereof
    • H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02E60/10—Energy storage using batteries

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Abstract

The invention discloses a method for online detection and maintenance of a storage battery based on risk assessment, which comprises the following steps: starting; acquiring sub-risk index R of each risk factor influencing safe operation of power gridi(ii) a Calculating a comprehensive risk index R; determining acceptable comprehensive risk index R by combining with the fault statistical data of the power grid or the similar power grids0(ii) a Judgment of R and R0If R is greater than or equal to>R0If the current power grid is in a high-risk operation period, skipping the online detection and maintenance steps of the storage battery, and directly ending; if R is ≦ R0If the current power grid is in the low risk operation period, continuing the next step; detecting and maintaining the storage battery; and (6) ending. The operation risk of the power grid is comprehensively evaluated and judged before the detection and maintenance actions of the storage battery are executed, so that the detection and maintenance work of the storage battery is ensured to be carried out in a low-risk period of the operation of the power grid, and the safety coefficient of the power grid is improved.

Description

Storage battery online detection and maintenance method based on risk assessment
Technical Field
The invention relates to the field of storage battery detection and maintenance, in particular to a storage battery online detection and maintenance method based on risk assessment.
Background
At present, in a large number of devices provided with backup batteries, a UPS and an uninterruptible power supply in an automatic system of a power distribution network, a redundant power supply design is a common power supply design mode, and the design means that a storage battery and a power supply circuit are connected in parallel to a load circuit by the system, and when the power supply circuit is normal, the power supply circuit supplies power to the load circuit and charges the storage battery all the time to keep the storage battery in a capacity saturation state; under the condition that a power line is interrupted, the storage battery is switched to supply power to the storage battery, the storage battery is used as a backup power supply only under the condition that the power line is interrupted, in order to ensure that the storage battery can normally work, the health state of the storage battery needs to be detected, and the condition that the storage battery cannot normally work after the power line is interrupted is avoided.
The detection method for the storage battery in the prior art generally comprises internal resistance test and activation treatment, the test for the internal resistance of the battery in the prior art can be completed within a few seconds to a few minutes, and the influence on the storage electric quantity of the battery is very little; however, the activation of the battery requires the battery to be fully discharged and recharged, and the operation is usually to manually cut off the charging circuit of the battery, use the battery to supply power to the system or set a special discharging load, and return the battery to the charging circuit for charging after the battery capacity is fully released, which usually lasts for several hours.
Meanwhile, with the improvement of the automation degree of the power distribution network, in the prior art, when the remote online detection of the storage battery is executed, the remote online detection is usually executed at a set time (for example, the storage battery test and maintenance are automatically executed at 5 am 5 pm every month), such a setting method for the storage battery test at a fixed time does not consider the current running state of the power grid, if the storage battery is discharged to the limit in the process of executing the activation of the storage battery, the power grid is cut off when the storage battery is just switched back to a charging loop for charging, and the electric quantity actually stored in the storage battery is at the minimum value because the storage battery just fully discharges, the storage battery cannot bear the responsibility of a standby power supply at this time, and huge potential hazards are caused to the safe running of the power grid.
Disclosure of Invention
Aiming at the defects of the prior art, the technical problems to be solved by the invention are as follows: how to determine that a power grid is in a low-risk period when the storage battery is subjected to online detection and maintenance work, in order to solve the technical problem, the technical scheme adopted by the invention is a method for online detection and maintenance of the storage battery based on risk assessment, and the method specifically comprises the following steps:
s1: starting;
s2: collection of sub-risk index RiAcquiring sub-risk index R of each risk factor influencing safe operation of the power gridi；
S3: calculating a comprehensive risk index R, and comprehensively considering each RiCalculating a comprehensive risk index R;
s4: determining the highest acceptable composite risk index R0Analyzing historical fault data of the power grid or the similar power grids to determine the highest acceptable comprehensive risk index R0；
S5: judgment of R and R0The relationship between the size of the first and the second,
on the one hand, if R>R0If the grid is in a high risk period at the current moment, the probability of power failure is high, the dependence on the storage battery is high, and the grid is not suitable for entering at the momentDetecting and maintaining the storage battery, and jumping to the step S7;
on the other hand, if R ≦ R0When the power grid is in a low risk period at present, the probability of power failure is low, the dependence on the storage battery is low, and the step S6 is skipped;
s6: executing storage battery detection and maintenance, and detecting and maintaining the storage battery by using a storage battery detector;
s7: and (6) ending.
The invention has the advantages that before the storage battery online detection maintenance work, various risk factors influencing the operation of the power grid are comprehensively considered, the high risk period of the operation of the power grid is actively avoided, the low risk period of the operation of the power grid is selected for the detection maintenance work of the storage battery, the probability of meeting the power grid fault in the storage battery maintenance process is greatly reduced, and the safety coefficient of the whole power grid system is improved.
On the basis of the technical scheme, the invention can be further improved as follows.
Further, the calculation formula for calculating the comprehensive risk index R in step S3 is as follows:
Figure BDA0001746320080000031
wherein, KiIs a weight coefficient, Ki>0, and Σ Ki＝1，RiIs the i-th sub-risk index. For example: the items of i 1, 2, and 3 may be "grid load factor", "temperature", and "wind speed", respectively.
Further, in step S2, an operator risk index R is calculatediThe calculation formula of (2) is as follows:
Figure BDA0001746320080000032
wherein XnowIs the current value of the physical quantity of the risk factor, Xmax，XminThe maximum and minimum values of the physical quantity of the risk factor that are desirable in the grid are respectively.
Further, it is confirmed in step S4Determining the highest acceptable composite risk index R0Comprises the following steps:
s41: calculating the comprehensive risk index R of the power grid or the similar power grid in the past fault by using the same risk factors and calculation formulas in the steps S2 and S3j；
S42: calculation of RjThe average value of the minimum values of the three terms is set as R0。
Further, in step S2, an operator risk index R is calculatediThe calculation formula of (2) is as follows:
Figure BDA0001746320080000033
wherein XnowIs the current value of the physical quantity of the risk factor, Xmax，XminThe maximum value and the minimum value of the physical quantity of the risk factor in the power grid are respectively, G is an adjustable coefficient, and G is not equal to 0. The speed of the change of the sub-risk index along with the physical quantity can be adjusted by adjusting the adjustable coefficient G; when 0 is present<When G is less than or equal to 1, the sub-risk index increases more rapidly, when G is less than or equal to 1>1, the sub-risk index grows slowly, so that the risk index closer to the actual situation can be obtained.
Further, considering that the grid fails infrequently, R obtained in step S4 may be used0Storing and adding step S after step S3 and before step S4ifFor judging R0Whether or not to>0：
If R is0>0, then do not repeat the calculation, directly call this R0Jumping to step S5;
if R is0If 0, step S4 is executed.
Drawings
Fig. 1 is a working flow chart of a method for online detection and maintenance of a storage battery based on risk assessment according to the present invention.
FIG. 2 is a graph of grid load rate versus grid load rate risk index in an embodiment.
FIG. 3 is a graph of air temperature versus air temperature risk index for an embodiment.
FIG. 4 is a graph of wind speed versus wind speed risk index for an embodiment.
Detailed Description
The invention will be further explained with reference to the drawings, which are given by way of example only for the purpose of illustrating the invention and not for the purpose of limiting its scope.
Fig. 1 is a flowchart illustrating steps of a method for online detection and maintenance of a battery based on risk assessment according to the present invention. The method for online detection and maintenance of the storage battery based on risk assessment comprises the following steps:
s1: starting;
s2: collection of sub-risk index RiIn this embodiment, three of "grid load rate", "temperature", and "wind speed" are used as risk factors affecting the grid, and the corresponding sub-risk indexes are calculated as follows:
calculating a grid load rate risk index R1：
R1＝1/(1.001-(|Gnow-Gmin|/|Gmax-Gmin|)) in which GnowFor the current grid load, GmaxDesigning the maximum load, G, for the gridminTake 0, Gnow/GmaxThe current load rate of the power grid.
Specifically, in this embodiment:
when the load rate of the power grid is 80%, R1＝4.98，
When the load rate of the power grid is 85%, R1＝6.62，
When the load rate of the power grid is 95%, R1＝19.61，
Please refer to fig. 2, which is a graph illustrating a relationship between a grid load rate and a grid load rate risk index in the present embodiment; when the load rate of the power grid is below 90%, the risk index of the load rate of the power grid is slowly increased, and when the load rate of the power grid exceeds 90%, the risk index of the load rate of the power grid is rapidly increased;
calculating air temperature risk index R2：
R2＝1/(1.001-|Tnow-Tmin|/|Tmax-Tmin|) wherein TminTake 0 ℃ and TnowIs the current gas temperature value, TmaxSet at 45 degrees Celsius and temperature deviation TminThe higher the fault probability of the power grid is, the higher or lower the temperature is, the safety operation of the power grid is not facilitated;
specifically, in this embodiment:
at a temperature of 20 ℃, R2＝1.80，
When the temperature is 30 ℃, R2＝2.99，
When the temperature is 35 ℃, R2＝4.48，
When the temperature is 42 ℃, R2＝14.78，
Please refer to fig. 3, which is a relationship diagram of air temperature and air temperature risk index in the present embodiment; when the air temperature is below 40 ℃, the temperature risk index is slowly increased, and when the air temperature approaches 45 ℃, the temperature risk index is rapidly increased;
calculating a wind speed risk index R3：
R3＝1/(1.001-|Vnow-Vmin|/|Vmax-Vmin|)，VnowIs the current wind speed, VminTake 0, VmaxTaking the wind speed of 11-level wind, namely 30 m/s;
specifically, in this embodiment:
when the wind speed is 20.0m/s, R3＝3.00，
When the wind speed is 21.0m/s, R3＝3.32，
When the wind speed is 28.5m/s, R3＝19.00，
Please refer to fig. 4, which is a graph of the wind speed and the wind speed risk index according to the present embodiment; when the wind speed is below 24 m/s, the wind speed risk index is slowly increased, and when the wind speed exceeds 24 m/s, the wind speed risk index is rapidly increased;
s3: the overall risk index R is calculated,
according to the formula
Figure BDA0001746320080000061
Wherein, KiIs a weight coefficient, Ki>0, and Σ Ki＝1，RiFor the i-th sub-risk index, in particular to this example, take K1＝K2＝K31/3, the R calculated in step S21，R2，R3Substituting into a formula to obtain a comprehensive risk index R;
specifically, in this embodiment:
q1: when the load factor of the power grid is 80%, the air temperature is 20 ℃, and the wind speed is 20.0m/s, R is 3.26;
q2: when the load factor of the power grid is 80%, the air temperature is 20 ℃, and the wind speed is 28.5m/s, R is 19.00;
q3: when the load factor of the power grid is 80%, the air temperature is 42 ℃, and the wind speed is 20.0m/s, R is 7.58;
q4: when the load factor of the power grid is 95%, the air temperature is 30 ℃ and the wind speed is 20.0m/s, R is 8.53;
q5: when the load factor of the power grid is 85%, the air temperature is 35 ℃, and the wind speed is 21.0m/s, R is 4.80;
s4: determining the highest acceptable composite Risk index R0，
According to the same risk factors and calculation formulas of the steps S2 and S3, the statistical data of the historical faults of the power grid or the statistical data of the historical faults of the same type of power grid are processed, and the comprehensive risk index R in the past faults of the power grid can be obtainedjTaking 3 minimum values and averaging the values, and setting the average value as the highest acceptable comprehensive risk index R0；
As shown in Table 1, the comprehensive risk index R is obtained by calculating the past faults of a certain power grid according to the same risk factors and calculation formulas in the steps S2 and S3jWhere the three minimum values are 3.16, 3.53, 3.83, respectively, and the average value is 3.51, R is set0＝3.51。
Figure BDA0001746320080000062
Figure BDA0001746320080000071
TABLE 1
S5: judgment of R and R0The relationship between the size of the first and the second,
on the one hand, if R>R0If the current grid operation is in the high risk time period, the detection and maintenance of the storage battery are not suitable, the test maintenance work is finished, and the step S7 is skipped;
on the other hand, if R ≦ R0If yes, judging that the current power grid operates in a low risk period, and jumping to the step S6;
with particular reference to the present embodiment, it is,
q1 in step S3:
q1: when the load factor of the power grid is 80%, the air temperature is 20 ℃, and the wind speed is 20.0m/s, R is 3.26,
R＝3.26<R0when the grid is operated in the low risk period, the step S6 is skipped to when the grid is operated at 3.51;
q2 in step S3:
q2: when the load factor of the power grid is 80%, the air temperature is 20 ℃ and the wind speed is 28.5m/s, R is 19.00,
R＝8.79>R0when the grid is operated in the high risk period, the step S7 is skipped to when the grid is operated at 3.51;
according to typhoon business and service regulations issued by the Chinese meteorological office in 2001, the wind speed of 28.5m/s is rated as 10-grade gale, under the condition, although the load rate and the temperature of a power grid are not high, the wind speed is very high, and the power grid is in 10-grade gale weather, so that a higher comprehensive risk index R is obtained;
q3 in step S3:
q3: when the load factor of the power grid is 80%, the air temperature is 42 ℃, and the wind speed is 20.0m/s, R is 7.58,
R＝7.58>R0when the grid is operated in the high risk period, the step S7 is skipped to when the grid is operated at 3.51;
in this case, although the load factor of the power grid is not high and the wind speed is not large, the air temperature is as high as 42 ℃, which is equivalent to being in a hot weather, so that a higher comprehensive risk index R is obtained;
q4 in step S3:
q4: when the load factor of the power grid is 95%, the air temperature is 30 ℃ and the wind speed is 20.0m/s, R is 8.53,
R＝8.53>R0when the grid is operated in the high risk period, the step S7 is skipped to when the grid is operated at 3.51;
in this case, although the air temperature is not high and the wind speed is not large, the power grid is close to full-load operation, so that a higher comprehensive risk index R is obtained;
q5 in step S3:
q5: when the load factor of the power grid is 85%, the air temperature is 35 ℃, and the wind speed is 21.0m/s, R is 4.80,
R＝4.8>R0when the grid is operated in the high risk period, the step S7 is skipped to when the grid is operated at 3.51;
although any one of the air temperature, the wind speed and the power grid load does not tend to be in an extreme value, all risk factors are in a higher level at the same time, and the comprehensive influence of all the factors is considered, so that a higher comprehensive risk index R is obtained.
S6: and detecting and maintaining the storage battery, and performing conventional maintenance operations such as internal resistance test, activation and the like on the storage battery by using a storage battery detector or a module with the same function.
S7: and (6) ending.
Further, R is calculated in step S2iThe formula of (1) is:
Figure BDA0001746320080000081
the added adjustable coefficient G can adjust the change speed of the risk index along with the physical quantity, and can be adjusted according to the actual running state of the power grid so as to obtain the risk index closer to the running condition of the power grid.
Taking the load factor of the power grid as an example (R in the foregoing embodiment)1Corresponding to G ═ 1), when G ═ 0.5 is taken:
when the load rate of the power grid is 80%, the risk index R of the load rate of the power grid1G＝9.95，
When the load rate of the power grid is 85%, the risk of the load rate of the power grid is causedIndex R1G＝13.25，
When the load rate of the power grid is 95%, the risk index R of the load rate of the power grid1G＝39.22，
It can be seen that the grid load factor risk index when G is 0.5 is higher than that when G is 1 under the same grid load factor, in this embodiment, when the grid load factor reaches 80%, a higher comprehensive risk index R can be obtained, so that the maintenance work of the storage battery can be avoided when the grid load factor exceeds 80%.
Further, considering that the grid fails infrequently, R obtained in step S4 may be used0Storing and adding step S after step S3 and before step S4ifFor judging R0Whether or not to>0：
If R is0>0, then directly calling this R0Jump to step S5 to avoid repeating R0The working efficiency is improved;
if R is0If 0, step S4 is executed.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.

Claims (4)

1. A method for online detection and maintenance of a storage battery based on risk assessment is used for automatically determining which hours in any day have low risk and is used as a maintenance period of the storage battery, and is characterized by comprising the following steps:
s1: starting;
s2: collection of sub-risk index Ri；
S3: calculating a comprehensive risk index R;
s4: determining the highest acceptable composite risk index R0；
S5: judgment of R and R0The relationship between the size of the first and the second,
on the one hand, if R>R0Then, the power grid is considered to be in a high risk period at the current moment, and the probability of power failure occursHigh, high dependence on the storage battery, not suitable for the detection and maintenance work of the storage battery at the moment, and jumping to the step S7;
on the other hand, if R ≦ R0When the power grid is in a low risk period at present, the probability of power failure is low, the dependence on the storage battery is low, and the step S6 is skipped;
s6: executing storage battery detection and maintenance;
s7: finishing;
the sub-risk index R in the step S2iThe calculation formula of (2) is as follows:
Figure FDA0003219221150000011
wherein XnowIs the current value of the physical quantity of the risk factor, Xmax，XminThe maximum value and the minimum value of the physical quantity of the risk factor in the power grid are respectively, G is an adjustable coefficient, and G is not equal to 0.
2. The online battery detection and maintenance method based on risk assessment according to claim 1, wherein the calculation formula of the comprehensive risk index R in the step S3 is as follows:
Figure FDA0003219221150000021
wherein, KiIs a weight coefficient, Ki>0, and Σ Ki＝1，RiIs the sub-risk index.
3. The online battery detection and maintenance method based on risk assessment according to claim 1 or 2, wherein the acceptable highest comprehensive risk index R is determined in step S40Comprises the following steps:
s41: calculating the comprehensive risk index R of the power grid or the similar power grid in the past fault by using the same risk factors and calculation formulas in the step S2 and the step S3j；
S42: calculating the RjThe average value of the minimum values of the three terms is set as R0。
4. The online battery detection and maintenance method based on risk assessment according to claim 1 or 2, wherein R determined in step S40Storing, adding step S after step S3 and before step S4if: judgment of R0Whether or not to>0：
On the one hand, if R0>0, calling this R0Jumping to step S5;
on the one hand, if R0When it is 0, step S4 is executed.
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