CN111834977A - Parameter setting method, device, system and medium for inverse time limit overcurrent protection - Google Patents
Parameter setting method, device, system and medium for inverse time limit overcurrent protection Download PDFInfo
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- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02H—EMERGENCY PROTECTIVE CIRCUIT ARRANGEMENTS
- H02H3/00—Emergency protective circuit arrangements for automatic disconnection directly responsive to an undesired change from normal electric working condition with or without subsequent reconnection ; integrated protection
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02H—EMERGENCY PROTECTIVE CIRCUIT ARRANGEMENTS
- H02H3/00—Emergency protective circuit arrangements for automatic disconnection directly responsive to an undesired change from normal electric working condition with or without subsequent reconnection ; integrated protection
- H02H3/08—Emergency protective circuit arrangements for automatic disconnection directly responsive to an undesired change from normal electric working condition with or without subsequent reconnection ; integrated protection responsive to excess current
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Abstract
The application relates to a parameter setting method and device for inverse time limit overcurrent protection, a power distribution automation system and a storage medium. The method comprises the following steps: determining the number of target inverse time limit overcurrent protection participating in parameter setting on a line and the relative relation between the target inverse time limit overcurrent protection; according to the quantity and the relative relation, a target function and a constraint condition adopted in the parameter setting process are established; and solving target parameters required by the target inverse time limit overcurrent protection by adopting a micro-genetic algorithm according to the target function and the constraint conditions so as to ensure that the sum of action time used by the target inverse time limit overcurrent protection when the target parameters are adopted to remove the fault is shortest, wherein the target parameters comprise a target inverse time limit characteristic curve and a target time setting coefficient corresponding to the target inverse time limit characteristic curve. The method can improve the speed, intelligence, sensitivity and selectivity of line overcurrent protection, reduce the power failure range after the fault occurs, and further improve the reliability of power supply.
Description
Technical Field
The application relates to the field of power grid relay protection, in particular to a parameter setting method and device for inverse time limit overcurrent protection, a power distribution automation system and a storage medium.
Background
At present, current protection is one of the main protection modes on medium and low voltage lines, and inverse time limit overcurrent protection is protection with action time limit related to the magnitude of current in a protected line, namely when the current is large, the protection action time limit is short, and when the current is small, the protection action time limit is long. The characteristic of the inverse time limit overcurrent protection naturally coincides with the requirement of the power system on protection, so that the inverse time limit overcurrent protection is widely applied to the power system.
In conventional techniques, the time setting factor is typically calculated over the entire line based on the minimum action time required for protection close to the fault point. However, when the fault point on the line changes and a plurality of sets of protection need to be set and matched, the traditional setting mode has low intelligence and is difficult to meet the requirements of selectivity, quick action, sensitivity and reliability.
Disclosure of Invention
Therefore, it is necessary to provide a parameter setting method, a device, a distribution automation system and a storage medium for inverse time-lag overcurrent protection, aiming at the technical problems that the traditional setting method is low in intelligence and difficult to meet the requirements of selectivity, quick action, sensitivity and reliability.
In a first aspect, an embodiment of the present application provides a parameter setting method for inverse time-lag overcurrent protection, which is applied to an automation system of a power distribution network, and the method includes:
determining the number of target inverse time limit overcurrent protection participating in parameter setting on a line and the relative relation between the target inverse time limit overcurrent protection;
establishing a target function and a constraint condition adopted in the parameter setting process according to the quantity and the relative relation;
and solving a target parameter required by the target inverse time limit overcurrent protection by adopting a micro-genetic algorithm according to the target function and the constraint condition so as to ensure that the sum of action time used by the target inverse time limit overcurrent protection when the target parameter is adopted to remove the fault is shortest, wherein the target parameter comprises a target inverse time limit characteristic curve and a target time setting coefficient corresponding to the target inverse time limit characteristic curve.
In a second aspect, an embodiment of the present application provides a parameter setting device for inverse time-lag overcurrent protection, which is integrated in an automation system of a power distribution automation system, and the device includes:
the determining module is used for determining the number of target inverse time limit overcurrent protection participating in parameter setting on a line and the relative relation between the target inverse time limit overcurrent protection;
the establishing module is used for establishing a target function and a constraint condition adopted in the parameter setting process according to the quantity and the relative relation;
and the calculation module is used for solving target parameters required by the target inverse time limit overcurrent protection by adopting a micro-genetic algorithm according to the target function and the constraint conditions so as to enable the sum of action time used by the target inverse time limit overcurrent protection when the target parameters are adopted to remove faults to be shortest, wherein the target parameters comprise a target inverse time limit characteristic curve and a target time setting coefficient corresponding to the target inverse time limit characteristic curve.
In a third aspect, an embodiment of the present application provides a power distribution automation system, which includes a memory and a processor, where the memory stores a computer program, and the processor implements the parameter tuning method for inverse time-lag overcurrent protection provided in the first aspect of the embodiment of the present application when executing the computer program.
In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the parameter tuning method for inverse time-lag overcurrent protection provided in the first aspect of the embodiment of the present application.
According to the parameter setting method and device for inverse time limit overcurrent protection, the power distribution automation system determines the number of target inverse time limit overcurrent protection participating in parameter setting on a line and the relative relation between the target inverse time limit overcurrent protection, establishes a target function and a constraint condition adopted in a parameter setting process according to the number and the relative relation, and solves a target parameter required by the target inverse time limit overcurrent protection by adopting a micro genetic algorithm according to the target function and the constraint condition so as to enable the sum of action time used by the target inverse time limit overcurrent protection when a fault is removed by adopting the target parameter to be shortest. According to the technical scheme, because the target parameters required by each target inverse time limit overcurrent protection are the optimal solution solved by the micro genetic algorithm based on the established target function and the constraint condition, when any point on a line fails, the sum of the action time of each target inverse time limit overcurrent protection when the optimal solution is adopted to switch the fault is the shortest, and the quick action, the intelligence and the sensitivity of the line protection are improved; meanwhile, the relative relation among the target inverse time limit overcurrent protections is also considered in the process of protecting the line, so that the fault on the line is removed by the target inverse time limit overcurrent protection close to a fault point, the selectivity of protection is met, the power failure range after the fault occurs is reduced, and the reliability of power supply is improved.
Drawings
Fig. 1 is a schematic flow chart of a parameter setting method for inverse time-lag overcurrent protection according to an embodiment of the present application;
fig. 2 is another schematic flow chart of a parameter setting method for inverse time-lag overcurrent protection according to an embodiment of the present application;
FIG. 3 is a schematic diagram of a chromosome structure provided in an embodiment of the present application;
fig. 4 is a schematic structural diagram of a power distribution network circuit according to an embodiment of the present disclosure;
fig. 5 is a schematic structural diagram of a parameter setting device for inverse time-lag overcurrent protection according to an embodiment of the present application;
fig. 6 is a schematic structural diagram of a distribution automation system according to an embodiment of the present disclosure.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the technical solutions in the embodiments of the present application are further described in detail by the following embodiments in combination with the accompanying drawings. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
It should be noted that the execution subject of the following method embodiments may be a parameter setting device for inverse time-limited overcurrent protection, and the device may be implemented as part or all of a distribution automation system by software, hardware, or a combination of software and hardware. The following method embodiments are described by taking the example where the executing entity is a distribution automation system.
Fig. 1 is a schematic flow chart of a parameter setting method for inverse time-lag overcurrent protection according to an embodiment of the present application. The embodiment relates to a specific process of how a power distribution automation system determines target parameters adopted by target inverse time limit overcurrent protection on a line when switching faults. As shown in fig. 1, the method may include:
s101, determining the number of target inverse time limit overcurrent protection participating in parameter setting on a line and the relative relation between the target inverse time limit overcurrent protection.
Specifically, in order to ensure the normal operation of a power supply system, a plurality of inverse time limit overcurrent protections are arranged in a feeder line of the power distribution network, and the inverse time limit overcurrent protections are mostly used as main protection and backup protection of the power distribution network. Optionally, the inverse-time overcurrent protection may be an inverse-time relay (i.e., a circuit breaker). The inverse time limit overcurrent protection is protection of which the action time limit is related to the current magnitude in a protected circuit, when the current flowing through the inverse time limit overcurrent protection is large, the protection action time limit of the inverse time limit overcurrent protection is short, otherwise, the protection action time limit of the inverse time limit overcurrent protection is long. The action characteristic of the inverse time limit overcurrent protection depends on an adopted action characteristic curve, and the typical inverse time limit action characteristic curves recommended by the international large power grid conference at present comprise three curves, such as a conventional inverse time limit characteristic curve, a very inverse time limit characteristic curve and an extreme inverse time limit characteristic curve; meanwhile, each inverse time limit characteristic curve also corresponds to a plurality of time setting coefficients. Therefore, when a plurality of inverse time-limit overcurrent protections exist on the line, in order to meet the requirements of selectivity, quick action, sensitivity and reliability of power supply protection, parameter setting needs to be carried out on the corresponding inverse time-limit overcurrent protection when the fault is actually removed, namely, a target inverse time-limit characteristic curve and a target time setting coefficient corresponding to the target inverse time-limit characteristic curve are determined and adopted for the corresponding inverse time-limit overcurrent protection.
When a fault occurs on a line of the power distribution network, if a short circuit phenomenon occurs on the line, a larger fault current exists on the line, and the number of target inverse time-lag overcurrent protection participating in parameter setting can be determined based on the magnitude of the fault current flowing through each inverse time-lag overcurrent protection. In practical application, the inverse time limit overcurrent protection set on the line can be in different position information, such as a switch-on position or a switch-off position. To this end, as an alternative embodiment, the distribution automation system may determine the number of target inverse time-limited overcurrent protections participating in parameter tuning on the line by: acquiring position information and fault current of each inverse time limit overcurrent protection in a line; and aiming at each inverse time limit overcurrent protection, when the fault current flowing through the inverse time limit overcurrent protection is larger than the preset protection current and the position information of the inverse time limit overcurrent protection is a closing position, determining the inverse time limit overcurrent protection as the target inverse time limit overcurrent protection participating in parameter setting.
After the number of the target inverse time limit overcurrent protections participating in parameter setting on the line is determined, the power distribution automation system can also determine the relative relation among the target inverse time limit overcurrent protections according to the installation position of the target inverse time limit overcurrent protections on the line and the current flow direction on the line, wherein the relative relation defines the upstream and downstream topological relation among the target inverse time limit overcurrent protections.
And S102, establishing a target function and a constraint condition adopted in the parameter setting process according to the quantity and the relative relation.
The optimization target of the inverse time-limited overvoltage protection parameter setting is to minimize the action time of the protection system for removing faults on the premise of meeting the requirements of quick action, selectivity, sensitivity and reliability of line protection. As an optional implementation manner, based on the relative relationship between the number of target inverse time limit overcurrent protection participating in parameter setting and the target inverse time limit overcurrent protection, the target function f adopted in the constructed parameter setting process is the following formula 1:
equation 1:
meanwhile, the constructed objective function further includes the following 3 constraints:
wherein, N is the number of the target inverse time limit overcurrent protection, F is any fault point on the line, ti,FThe action time t of the ith target inverse time limit overcurrent protection in the N target inverse time limit overcurrent protectioni-1,FThe action time of the ith-1 st target inverse time limit overcurrent protection (namely the action time of the upstream protection of the ith target inverse time limit overcurrent protection), delta t is the matching time of the adjacent target inverse time limit overcurrent protection, K is a time setting coefficient, K is the time setting coefficientmin、KmaxMinimum and maximum values of K, tmin、tmaxRespectively the minimum and maximum values of the action time t.
In order to minimize the power outage range, i.e., to improve the selectivity of the protection system, the operation time of the upstream protection of the cooperative pair may be restricted to be longer than the operation time of the downstream protection, i.e., the constraint condition 1 (i.e., t) is passedi-1,F-ti,F- Δ t ≧ 0) to satisfy the selectivity of the power supply protection.
Constraint 2 (i.e., K) abovemin≤K≤Kmax) The time setting coefficient K is only taken within the allowable range of the relay element; constraint 3 (i.e., t) described abovemin≤t≤tmax) The action time of the anti-time limit overcurrent protection representing each target should also be within an allowable range.
In addition, the above-mentioned ti,FCan be calculated by the following formula 2:
equation 2:
wherein, Ii,setFor current setting, at ti,FIn the calculation of (1)i,setThe value is generally between the maximum load current and the minimum short circuit current flowing through the location of protection. To further improve the sensitivity of overcurrent protection, Ii,setThe pre-fault load current value uploaded by the distribution automation terminal DTU may also be used. k is a radical of1、k2The value of (a) is related to an inverse time limit characteristic curve recommended by the international large power grid conference, and k corresponding to different inverse time limit characteristic curves1、k2The values of (a) will vary. In practical application, different types of inverse time-limit characteristic curves and k1、k2The corresponding relationship between the values of (a) is shown in the following table 1:
TABLE 1
| Inverse time limit characteristic curve | Conventional inverse time limit | Very inverse time limit | Extreme inverse time limit |
| k1 | 0.14 | 13.5 | 80 |
| k2 | 0.02 | 1 | 2 |
S103, solving target parameters required by the target inverse time limit overcurrent protection by adopting a micro genetic algorithm according to the target function and the constraint conditions so as to enable the sum of action time used by the target inverse time limit overcurrent protection when the target parameters are adopted to remove faults to be the shortest, wherein the target parameters comprise a target inverse time limit characteristic curve and a target time setting coefficient corresponding to the target inverse time limit characteristic curve.
Specifically, on one hand, the smaller the calculation amount of the real-time current protection setting calculation is, the shorter the time required for setting is, the easier the requirement for the relay protection quick action is to be met, and on the other hand, the number of devices participating in the inverse time limit overcurrent protection setting on the distribution line is generally not large, and the number is under 10, which is a common situation, and thus some optimization methods are not applicable. And the micro-genetic algorithm is suitable for occasions with smaller initial population. In other words, in this scenario, the micro genetic algorithm is applicable to the setting calculation problem under multiple constraint conditions, and the possibility of obtaining the global optimal solution is also higher, so that the power distribution automation system can use the constructed objective function as a fitness evaluation function of the micro genetic algorithm, and according to 3 constraint conditions included in the objective function, the micro genetic algorithm is adopted to solve the objective function of inverse time-limited overcurrent protection setting, so as to obtain a group of optimal solutions of the objective function of inverse time-limited overcurrent protection setting. The optimal solution is a target inverse time limit characteristic curve adopted by each target inverse time limit overcurrent protection when the fault is removed and an optimal target time setting coefficient corresponding to the target inverse time limit characteristic curve.
According to the parameter setting method for the inverse time limit overcurrent protection, a power distribution automation system determines the number of target inverse time limit overcurrent protection participating in parameter setting on a line and the relative relation between the target inverse time limit overcurrent protection, establishes a target function and a constraint condition adopted in a parameter setting process according to the number and the relative relation, and solves a target parameter required by the target inverse time limit overcurrent protection by adopting a micro genetic algorithm according to the target function and the constraint condition so as to enable the sum of action time used by the target inverse time limit overcurrent protection when a fault is removed by adopting the target parameter to be shortest. According to the technical scheme, because the target parameters required by each target inverse time limit overcurrent protection are the optimal solution solved by the micro genetic algorithm based on the established target function and the constraint condition, when any point on a line fails, the sum of the action time of each target inverse time limit overcurrent protection when the optimal solution is adopted to switch the fault is the shortest, and the quick action, the intelligence and the sensitivity of the line protection are improved; meanwhile, the relative relation among the target inverse time limit overcurrent protections is also considered in the process of protecting the line, so that the fault on the line is removed by the target inverse time limit overcurrent protection close to a fault point, the selectivity of protection is met, the power failure range after the fault occurs is reduced, and the reliability of power supply is improved.
In an embodiment, optionally, as shown in fig. 2, the process of the power distribution automation system using a micro-genetic algorithm to solve the target parameters required by the target inverse time-limited overcurrent protection according to the target function and the constraint condition may be:
s201, constructing an initial population of the micro genetic algorithm based on the constraint conditions.
Each chromosome in the initial population comprises a first gene segment and a second gene segment, the length of the first gene segment and the length of the second gene segment are equal to the number of chromosomes, the genes in the first gene segment are used for representing an initial inverse time-lag characteristic curve adopted by the target inverse time-lag overcurrent protection, and the genes in the second gene segment are used for representing an initial time setting coefficient, corresponding to the initial inverse time-lag characteristic curve, adopted by the target inverse time-lag overcurrent protection. Optionally, in the process of constructing the initial population, the encoding mode adopted by each chromosome in the initial population may be floating point number encoding.
For example, assuming that the distribution automation system determines that the number of target inverse time-limited over-current protections involved in parameter tuning is N, the length of each chromosome of the initial population of constructs is 2N. The structure of the chromosomes of the initial population constructed by the distribution automation system can be shown in fig. 3, and as can be seen from fig. 3, each chromosome includes a first gene segment and a second gene segment, the first gene segment includes N genes, and the second gene segment includes N genes, that is, the first gene segment and the second gene segment have lengths of N, respectively. The value of each gene in the first gene segment can be 1, 2 or 3, and the 1, 2 and 3 respectively represent three typical inverse time-lag characteristic curves recommended by the international large power grid conference (the value 1 represents a conventional inverse time-lag characteristic curve, the value 2 represents a very inverse time-lag characteristic curve, and the value 3 represents an extreme inverse time-lag characteristic curve). Of course, other values may also be used to represent three typical inverse time-lag characteristic curves recommended by the international large grid conference, and correspondingly, the value of each gene of the first gene segment is also the corresponding other value, and this embodiment is only an example here. The value range of each gene in the second gene segment is [0.05, 1], and the gene in the second gene segment represents the time setting coefficient corresponding to the inverse time-lag characteristic curve represented by the first gene segment. Taking the first gene in the first gene segment and the first gene in the second gene segment in fig. 3 as an example, and assuming that the value of the first gene in the first gene segment is 1, the value of the first gene in the second gene segment is 0.05, this indicates that the inverse time characteristic curve initialized for the 1 st target inverse time overcurrent protection is: and the time setting coefficient K is equal to 0.05 of a conventional inverse time-lag characteristic curve.
S202, calculating the fitness value of each chromosome in the initial population according to the fitness evaluation function of the micro-genetic algorithm.
The fitness evaluation function is related to the objective function, and the objective function f may be used as a fitness evaluation function of the micro-genetic algorithm, and the fitness value of each chromosome is calculated by combining formula 2 and each initialized chromosome.
S203, determining target parameters required by the target inverse time limit overcurrent protection according to the adaptability values.
After the fitness value of each chromosome is obtained, the power distribution automation system judges whether a preset convergence condition is met or not at present based on the fitness value of each chromosome. And if so, taking the value of the gene in the chromosome corresponding to the fitness value meeting the convergence condition as a target parameter required by target inverse time-lag overcurrent protection. If not, carrying out selection operation, crossover operation and mutation operation on the initial population, and recalculating the fitness value of each chromosome in the population obtained after the crossover mutation operation. Optionally, the preset convergence condition may be that a ratio of the maximum fitness value to the minimum fitness value obtained by calculation is smaller than or equal to a first preset threshold, and the current iteration number reaches a preset maximum iteration number.
For the convergence condition, in addition to the above embodiment, optionally, the step S203 may be: selecting a maximum fitness value and a minimum fitness value from all the fitness values; and when the ratio of the maximum fitness value to the minimum fitness value is determined to be smaller than or equal to a first preset threshold value and the current iteration number reaches a preset maximum iteration number, taking the value of the gene in the chromosome corresponding to the maximum fitness value as a target parameter required by the target time-reversal overcurrent protection. When the ratio of the maximum fitness value to the minimum fitness value is larger than a first preset threshold value and the current iteration number does not reach the preset maximum iteration number, carrying out operator selection operation on all chromosomes, and selecting chromosomes with larger fitness values from operator selection operation results as parent chromosomes; performing cross operation, selective mutation operation and close-relative propagation operation on the father chromosome to form a new chromosome; and combining the new chromosome and the father chromosome into a next generation population, resetting the initial population by using the next generation population, and continuously executing the step of calculating the fitness value of each chromosome in the initial population according to the fitness function of the micro genetic algorithm until reaching the preset maximum iteration number. Optionally, the first preset threshold may be 1.05, that is, the fitness values of the finally optimized chromosomes are substantially equal through repeated optimization calculation of a micro genetic algorithm, so as to obtain an optimal solution meeting the objective function and the constraint condition.
Optionally, when it is determined that the ratio of the maximum fitness value to the minimum fitness value is less than or equal to a first preset threshold and the current iteration number does not reach a preset maximum iteration number, reconstructing the initial population of the micro genetic algorithm based on the constraint condition, that is, re-executing the steps S201 to S203.
In practical application, when the micro genetic algorithm does not output an optimal solution meeting the constraint condition and the objective function, that is, when the current iteration number reaches the maximum iteration number, but the ratio of the calculated maximum fitness value to the calculated minimum fitness value is still greater than a first preset threshold value, in order to ensure the reliability of the protection action, the power distribution automation system can calculate the action time of each objective inverse time-limit overcurrent protection by a conventional parameter setting method.
In this embodiment, the power distribution automation system may construct an initial population of the micro-genetic algorithm based on the established constraint conditions, use the established objective function as a fitness evaluation function of the micro-genetic algorithm, calculate fitness values of respective chromosomes in the initial population according to the fitness evaluation function, and determine objective parameters required for the objective inverse time-limited overcurrent protection according to the respective fitness values. The micro genetic algorithm is suitable for occasions with few initial populations and has the advantages of short calculation time and good robustness, so that the micro genetic algorithm is adopted to set the protection parameters to quickly obtain a parameter optimization result, the action time requirement of a protection system is met, and the intelligence of a protection action parameter setting mode is improved.
In order to facilitate understanding of those skilled in the art, the following describes the parameter setting process of the inverse time-limit overcurrent protection in detail with reference to a specific example, specifically:
referring to the line shown in fig. 4, a plurality of inverse time limit overcurrent protections (i.e., circuit breakers CB1, CB2, CB3, CB4, and CB5) are provided. Assuming that a short circuit occurs in a line behind CB4, collecting fault current flowing through circuit breakers at each protection installation, and determining the number of inverse time limit overcurrent protection participating in parameter setting to be 3 according to the fault current flowing through each circuit breaker (the fault current in CB3 is smaller than a preset protection current, and the fault current in CB1, CB2 and CB4 is larger than the preset protection current) and position information (CB1-CB 4 is at a closing position and CB5 is at a opening position), wherein the number of inverse time limit overcurrent protection is CB1, CB2 and CB 4. In addition, the relative relationship among CB1, CB2 and CB4 is that CB1 is upstream protection of CB2 and CB2 is upstream protection of CB 4.
Then, the power distribution automation system establishes a target function f adopted in the parameter setting process according to the number of the target circuit breakers and the relative relation between the target circuit breakers, wherein the target function f is as follows:
and the constraint conditions are:
wherein, the value range of delta t in the constraint condition is [0.3, 0.5 ]]，KminCan be 0.05, KmaxCan take on a value of 1.1, tminCan take a value of 0.02 second, tmaxMay take 10 seconds.
Operation time t for CB1, CB2 and CB4i,FThe calculation can be performed according to formula 2, and in this case, the values of i in formula 2 are 1, 2, and 4, respectively.
Next, the power distribution automation system constructs each chromosome in the initial population of the micro-genetic algorithm based on the constraints. Since the number of the target breakers involved in the parameter tuning determined above is 3, the length of each chromosome is 6. The first gene segment and the second gene segment of each chromosome respectively comprise 3 genes, the first gene in the first gene segment and the second gene segment can correspond to CB1, the second gene can correspond to CB2, and the third gene can correspond to CB 4. Thus, the value of the first gene segment is the serial number corresponding to the initial inverse time limit characteristic curve of CB1, the value of the second gene of the first gene segment is the serial number corresponding to the initial inverse time limit characteristic curve of CB2, and the value of the third gene of the first gene segment is the serial number corresponding to the initial inverse time limit characteristic curve of CB 4. The value of the first gene of the second gene segment is the initial time setting coefficient of CB1, the value of the second gene segment is the initial time setting coefficient of CB2, and the value of the third gene of the second gene segment is the initial time setting coefficient of CB 4.
And taking the target function f as a fitness evaluation function of a micro genetic algorithm, and solving a target inverse time limit characteristic curve adopted by the CB1, the CB2 and the CB4 when the fault is removed and a target time setting coefficient corresponding to the target inverse time limit characteristic curve by adopting the micro genetic algorithm according to the constraint conditions. And calculating the action time of the CB1, the CB2 and the CB4 according to the solved target inverse time characteristic curve and the target time setting coefficient corresponding to the target inverse time characteristic curve. The calculated action time is as follows: t is t4＝0.02s，t2＝0.56s，t1＝1.24s。
Fig. 5 is a schematic structural diagram of a parameter setting device for inverse time-lag overcurrent protection according to an embodiment of the present application. The apparatus is integrated in a power distribution automation system, and as shown in fig. 5, the apparatus may include: a determination module 10, a building module 11 and a calculation module 12.
Specifically, the determining module 10 is configured to determine the number of target inverse time limit overcurrent protections participating in parameter setting on a line and a relative relationship between the target inverse time limit overcurrent protections;
the establishing module 11 is used for establishing a target function and a constraint condition adopted in the parameter setting process according to the quantity and the relative relation;
the calculating module 12 is configured to solve, according to the objective function and the constraint condition, a target parameter required by the target inverse time-lag overcurrent protection by using a micro-genetic algorithm, so as to minimize a sum of action times used by the target inverse time-lag overcurrent protection when the fault is removed by using the target parameter, where the target parameter includes a target inverse time-lag characteristic curve and a target time setting coefficient corresponding to the target inverse time-lag characteristic curve.
According to the parameter setting device for the inverse time limit overcurrent protection, a power distribution automation system determines the number of target inverse time limit overcurrent protection participating in parameter setting on a line and the relative relation between the target inverse time limit overcurrent protection, establishes a target function and a constraint condition adopted in a parameter setting process according to the number and the relative relation, and solves a target parameter required by the target inverse time limit overcurrent protection by adopting a micro genetic algorithm according to the target function and the constraint condition so as to enable the sum of action time used by the target inverse time limit overcurrent protection when a fault is removed by adopting the target parameter to be shortest. According to the technical scheme, because the target parameters required by each target inverse time limit overcurrent protection are the optimal solution solved by the micro genetic algorithm based on the established target function and the constraint condition, when any point on a line fails, the sum of the action time of each target inverse time limit overcurrent protection when the optimal solution is adopted to switch the fault is the shortest, and the quick action, the intelligence and the sensitivity of the line protection are improved; meanwhile, the relative relation among the target inverse time limit overcurrent protections is also considered in the process of protecting the line, so that the fault on the line is removed by the target inverse time limit overcurrent protection close to a fault point, the selectivity of protection is met, the power failure range after the fault occurs is reduced, and the reliability of power supply is improved.
Optionally, the objective function f is expressed by the following formula 1:
equation 1:
correspondingly, the objective function includes the following 3 constraints:
wherein, N is the number of the target inverse time limit overcurrent protection, F is any fault point on the line, ti,FThe action time t of the ith target inverse time limit overcurrent protection in the N target inverse time limit overcurrent protectioni-1,FThe action time of the i-1 st target inverse time limit overcurrent protection, delta t is the matching time of two adjacent target inverse time limit overcurrent protection, K is a time setting coefficient, K is the time setting coefficientmin、KmaxMinimum and maximum values of K, tmin、tmaxRespectively the minimum and maximum values of the action time t.
On the basis of the above embodiment, optionally, the calculation module 12 may include a construction unit, a calculation unit, and a determination unit;
specifically, the constructing unit is configured to construct an initial population of a micro-genetic algorithm based on the constraint condition, where each chromosome in the initial population includes a first gene segment and a second gene segment, the lengths of the first gene segment and the second gene segment are equal to the number, a gene in the first gene segment is used to represent an initial inverse time-lag characteristic curve used for the target inverse time-lag overcurrent protection, and a gene in the second gene segment is used to represent an initial time setting coefficient corresponding to the initial inverse time-lag characteristic curve used for the target inverse time-lag overcurrent protection;
the calculating unit is used for calculating the fitness value of each chromosome in the initial population according to a fitness evaluation function of the micro-genetic algorithm, wherein the fitness evaluation function is related to the target function;
the determining unit is used for determining target parameters required by the target inverse time limit overcurrent protection according to the adaptability values.
On the basis of the foregoing embodiment, optionally, the determining unit may include a selecting subunit and a first processing subunit;
specifically, the selecting subunit is configured to select a maximum fitness value and a minimum fitness value from all fitness values;
and the first processing subunit is used for taking the value of the gene in the chromosome corresponding to the maximum fitness value as a target parameter required by the target time-lag overcurrent protection when the ratio of the maximum fitness value to the minimum fitness value is determined to be smaller than or equal to a first preset threshold and the current iteration number reaches a preset maximum iteration number.
On the basis of the foregoing embodiment, optionally, the determining unit further includes a second processing subunit;
specifically, the second processing subunit is configured to, when it is determined that the ratio of the maximum fitness value to the minimum fitness value is greater than a first preset threshold and the current iteration number does not reach a preset maximum iteration number, perform a selection operator operation on all chromosomes, and select a chromosome with a larger fitness value from among results of the selection operator operation as a parent chromosome; performing cross operation, selective mutation operation and close-relative propagation operation on the father chromosome to form a new chromosome; and combining the new chromosome and the father chromosome into a next generation population, resetting the initial population by using the next generation population, and continuously executing the step of calculating the fitness value of each chromosome in the initial population according to the fitness function of the micro genetic algorithm.
Optionally, the encoding mode adopted by each chromosome in the initial population is floating point number encoding.
On the basis of the foregoing embodiment, optionally, the determining module 10 is specifically configured to obtain position information and fault current of each inverse time-limit overcurrent protection in the line; and aiming at each inverse time limit overcurrent protection, when the fault current flowing through the inverse time limit overcurrent protection is larger than a preset protection current and the position information of the inverse time limit overcurrent protection is a switch-on position, determining the inverse time limit overcurrent protection as a target inverse time limit overcurrent protection participating in parameter setting, wherein the position information comprises a switch-on position or a switch-off position.
In one embodiment, a power distribution automation system is provided, the internal structure of which may be as shown in fig. 6. The power distribution automation system includes a processor and a memory connected by a system bus. Wherein the processor of the distribution automation system is configured to provide computing and control capabilities. The storage of the power distribution automation system comprises a nonvolatile storage medium and an internal storage. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The computer program is executed by a processor to implement a method of parameter tuning for inverse time-limited overcurrent protection.
Those skilled in the art will appreciate that the configuration shown in fig. 6 is a block diagram of only a portion of the configuration associated with the subject application and does not constitute a limitation of the distribution automation system to which the subject application applies, and that a particular distribution automation system may include more or fewer components than shown, or combine certain components, or have a different arrangement of components.
In one embodiment, there is provided a power distribution automation system comprising a memory having a computer program stored therein and a processor that when executed implements the steps of:
determining the number of target inverse time limit overcurrent protection participating in parameter setting on a line and the relative relation between the target inverse time limit overcurrent protection;
establishing a target function and a constraint condition adopted in the parameter setting process according to the quantity and the relative relation;
and solving a target parameter required by the target inverse time limit overcurrent protection by adopting a micro-genetic algorithm according to the target function and the constraint condition so as to ensure that the sum of action time used by the target inverse time limit overcurrent protection when the target parameter is adopted to remove the fault is shortest, wherein the target parameter comprises a target inverse time limit characteristic curve and a target time setting coefficient corresponding to the target inverse time limit characteristic curve.
Optionally, the objective function f is expressed by the following formula 1:
equation 1:
correspondingly, the objective function includes the following 3 constraints:
wherein, N is the number of the target inverse time limit overcurrent protection, F is any fault point on the line, ti,FThe action time t of the ith target inverse time limit overcurrent protection in the N target inverse time limit overcurrent protectioni-1,FThe action time of the i-1 st target inverse time limit overcurrent protection, delta t is the matching time of two adjacent target inverse time limit overcurrent protection, K is a time setting coefficient, K is the time setting coefficientmin、KmaxMinimum and maximum values of K, tmin、tmaxRespectively the minimum and maximum values of the action time t.
In one embodiment, the processor, when executing the computer program, further performs the steps of: constructing an initial population of a micro-genetic algorithm based on the constraint condition, wherein each chromosome in the initial population comprises a first gene segment and a second gene segment, the lengths of the first gene segment and the second gene segment are equal to the number, genes in the first gene segment are used for representing an initial inverse time limit characteristic curve adopted by the target inverse time limit overcurrent protection, and genes in the second gene segment are used for representing initial time setting coefficients adopted by the target inverse time limit overcurrent protection and corresponding to the initial inverse time limit characteristic curve; calculating the fitness value of each chromosome in the initial population according to a fitness evaluation function of a micro-genetic algorithm, wherein the fitness evaluation function is related to the target function; and determining target parameters required by the target inverse time limit overcurrent protection according to the adaptability values.
In one embodiment, the processor, when executing the computer program, further performs the steps of: selecting a maximum fitness value and a minimum fitness value from all the fitness values; and when the ratio of the maximum fitness value to the minimum fitness value is determined to be smaller than or equal to a first preset threshold value and the current iteration number reaches a preset maximum iteration number, taking the value of the gene in the chromosome corresponding to the maximum fitness value as a target parameter required by the target time-reversal overcurrent protection.
In one embodiment, the processor, when executing the computer program, further performs the steps of: when the ratio of the maximum fitness value to the minimum fitness value is larger than a first preset threshold value and the current iteration number does not reach the preset maximum iteration number, carrying out operator selection operation on all chromosomes, and selecting chromosomes with larger fitness values from operator selection operation results as parent chromosomes; performing cross operation, selective mutation operation and close-relative propagation operation on the father chromosome to form a new chromosome; and combining the new chromosome and the father chromosome into a next generation population, resetting the initial population by using the next generation population, and continuously executing the step of calculating the fitness value of each chromosome in the initial population according to the fitness function of the micro genetic algorithm.
Optionally, the encoding mode adopted by each chromosome in the initial population is floating point number encoding.
In one embodiment, the processor, when executing the computer program, further performs the steps of: acquiring position information and fault current of each inverse time limit overcurrent protection in a line, wherein the position information comprises a switching-on position or a switching-off position; and aiming at each inverse time limit overcurrent protection, when the fault current flowing through the inverse time limit overcurrent protection is larger than the preset protection current and the position information of the inverse time limit overcurrent protection is a closing position, determining the inverse time limit overcurrent protection as the target inverse time limit overcurrent protection participating in parameter setting.
In one embodiment, a computer-readable storage medium is provided, having a computer program stored thereon, which when executed by a processor, performs the steps of:
determining the number of target inverse time limit overcurrent protection participating in parameter setting on a line and the relative relation between the target inverse time limit overcurrent protection;
establishing a target function and a constraint condition adopted in the parameter setting process according to the quantity and the relative relation;
and solving a target parameter required by the target inverse time limit overcurrent protection by adopting a micro-genetic algorithm according to the target function and the constraint condition so as to ensure that the sum of action time used by the target inverse time limit overcurrent protection when the target parameter is adopted to remove the fault is shortest, wherein the target parameter comprises a target inverse time limit characteristic curve and a target time setting coefficient corresponding to the target inverse time limit characteristic curve.
Optionally, the objective function f is expressed by the following formula 1:
equation 1:
correspondingly, the objective function includes the following 3 constraints:
wherein, N is the number of the target inverse time limit overcurrent protection, F is any fault point on the line, ti,FThe action time t of the ith target inverse time limit overcurrent protection in the N target inverse time limit overcurrent protectioni-1,FThe action time of the i-1 st target inverse time limit overcurrent protection, delta t is the matching time of two adjacent target inverse time limit overcurrent protection, K is a time setting coefficient, K is the time setting coefficientmin、KmaxMinimum and maximum values of K, tmin、tmaxRespectively the minimum and maximum values of the action time t.
In one embodiment, the computer program when executed by the processor further performs the steps of: constructing an initial population of a micro-genetic algorithm based on the constraint condition, wherein each chromosome in the initial population comprises a first gene segment and a second gene segment, the lengths of the first gene segment and the second gene segment are equal to the number, genes in the first gene segment are used for representing an initial inverse time limit characteristic curve adopted by the target inverse time limit overcurrent protection, and genes in the second gene segment are used for representing initial time setting coefficients adopted by the target inverse time limit overcurrent protection and corresponding to the initial inverse time limit characteristic curve; calculating the fitness value of each chromosome in the initial population according to a fitness evaluation function of a micro-genetic algorithm, wherein the fitness evaluation function is related to the target function; and determining target parameters required by the target inverse time limit overcurrent protection according to the adaptability values.
In one embodiment, the computer program when executed by the processor further performs the steps of: selecting a maximum fitness value and a minimum fitness value from all the fitness values; and when the ratio of the maximum fitness value to the minimum fitness value is determined to be smaller than or equal to a first preset threshold value and the current iteration number reaches a preset maximum iteration number, taking the value of the gene in the chromosome corresponding to the maximum fitness value as a target parameter required by the target time-reversal overcurrent protection.
In one embodiment, the computer program when executed by the processor further performs the steps of: when the ratio of the maximum fitness value to the minimum fitness value is larger than a first preset threshold value and the current iteration number does not reach the preset maximum iteration number, carrying out operator selection operation on all chromosomes, and selecting chromosomes with larger fitness values from operator selection operation results as parent chromosomes; performing cross operation, selective mutation operation and close-relative propagation operation on the father chromosome to form a new chromosome; and combining the new chromosome and the father chromosome into a next generation population, resetting the initial population by using the next generation population, and continuously executing the step of calculating the fitness value of each chromosome in the initial population according to the fitness function of the micro genetic algorithm.
Optionally, the encoding mode adopted by each chromosome in the initial population is floating point number encoding.
In one embodiment, the computer program when executed by the processor further performs the steps of: acquiring position information and fault current of each inverse time limit overcurrent protection in a line, wherein the position information comprises a switching-on position or a switching-off position; and aiming at each inverse time limit overcurrent protection, when the fault current flowing through the inverse time limit overcurrent protection is larger than the preset protection current and the position information of the inverse time limit overcurrent protection is a closing position, determining the inverse time limit overcurrent protection as the target inverse time limit overcurrent protection participating in parameter setting.
The parameter setting device for inverse time limit overcurrent protection, the power distribution automation system and the storage medium which are provided in the above embodiments can execute the parameter setting method for inverse time limit overcurrent protection provided in any embodiment of the present application, and have corresponding functional modules and beneficial effects for executing the method. Technical details which are not described in detail in the above embodiments can be referred to a parameter setting method of the inverse time limit overcurrent protection provided in any embodiment of the present application.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
The technical features of the embodiments described above may be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the embodiments described above are not described, but should be considered as being within the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present application. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A parameter setting method of inverse time limit overcurrent protection is characterized by being applied to a power distribution automation system, and comprises the following steps:
determining the number of target inverse time limit overcurrent protection participating in parameter setting on a line and the relative relation between the target inverse time limit overcurrent protection;
establishing a target function and a constraint condition adopted in the parameter setting process according to the quantity and the relative relation;
and solving a target parameter required by the target inverse time limit overcurrent protection by adopting a micro-genetic algorithm according to the target function and the constraint condition so as to ensure that the sum of action time used by the target inverse time limit overcurrent protection when the target parameter is adopted to remove the fault is shortest, wherein the target parameter comprises a target inverse time limit characteristic curve and a target time setting coefficient corresponding to the target inverse time limit characteristic curve.
2. The method of claim 1, wherein the objective function f is represented by the following equation 1:
equation 1:
correspondingly, the objective function includes the following 3 constraints:
wherein, N is the number of the target inverse time limit overcurrent protection, F is any fault point on the line, ti,FThe action time t of the ith target inverse time limit overcurrent protection in the N target inverse time limit overcurrent protectioni-1,FThe action time of the i-1 st target inverse time limit overcurrent protection, delta t is the matching time of two adjacent target inverse time limit overcurrent protection, K is a time setting coefficient, K is the time setting coefficientmin、KmaxMinimum and maximum values of K, tmin、tmaxRespectively the minimum and maximum values of the action time t.
3. The method according to claim 1, wherein the solving the target parameters required by the target inverse time-limited overcurrent protection by adopting a micro-genetic algorithm according to the target function and the constraint condition comprises:
constructing an initial population of a micro-genetic algorithm based on the constraint condition, wherein each chromosome in the initial population comprises a first gene segment and a second gene segment, the lengths of the first gene segment and the second gene segment are equal to the number, genes in the first gene segment are used for representing an initial inverse time limit characteristic curve adopted by the target inverse time limit overcurrent protection, and genes in the second gene segment are used for representing initial time setting coefficients adopted by the target inverse time limit overcurrent protection and corresponding to the initial inverse time limit characteristic curve;
calculating the fitness value of each chromosome in the initial population according to a fitness evaluation function of a micro-genetic algorithm, wherein the fitness evaluation function is related to the target function;
and determining target parameters required by the target inverse time limit overcurrent protection according to the adaptability values.
4. The method of claim 3, wherein the determining the target parameters required for the target inverse time-limited overcurrent protection according to the respective fitness values comprises:
selecting a maximum fitness value and a minimum fitness value from all the fitness values;
and when the ratio of the maximum fitness value to the minimum fitness value is determined to be smaller than or equal to a first preset threshold value and the current iteration number reaches a preset maximum iteration number, taking the value of the gene in the chromosome corresponding to the maximum fitness value as a target parameter required by the target time-reversal overcurrent protection.
5. The method of claim 4, further comprising:
when the ratio of the maximum fitness value to the minimum fitness value is larger than a first preset threshold value and the current iteration number does not reach the preset maximum iteration number, carrying out operator selection operation on all chromosomes, and selecting chromosomes with larger fitness values from operator selection operation results as parent chromosomes;
performing cross operation, selective mutation operation and close-relative propagation operation on the father chromosome to form a new chromosome;
and combining the new chromosome and the father chromosome into a next generation population, resetting the initial population by using the next generation population, and continuously executing the step of calculating the fitness value of each chromosome in the initial population according to the fitness function of the micro genetic algorithm.
6. The method of any of claims 3 to 5, wherein each chromosome in the starting population is encoded as a floating point number.
7. The method of any one of claims 1 to 5, wherein the determining the number of target inverse time-limited over-current protections participating in parameter tuning on the line comprises:
acquiring position information and fault current of each inverse time limit overcurrent protection in a line, wherein the position information comprises a switching-on position or a switching-off position;
and aiming at each inverse time-lag overcurrent protection, when the fault current flowing through the inverse time-lag overcurrent protection is larger than a preset protection starting current and the position information of the inverse time-lag overcurrent protection is a switching-on position, determining the inverse time-lag overcurrent protection as a target inverse time-lag overcurrent protection participating in parameter setting.
8. A parameter setting device for inverse time limit overcurrent protection is integrated in a power distribution automation system, and comprises:
the determining module is used for determining the number of target inverse time limit overcurrent protection participating in parameter setting on a line and the relative relation between the target inverse time limit overcurrent protection;
the establishing module is used for establishing a target function and a constraint condition adopted in the parameter setting process according to the quantity and the relative relation;
and the calculation module is used for solving target parameters required by the target inverse time limit overcurrent protection by adopting a micro-genetic algorithm according to the target function and the constraint conditions so as to enable the sum of action time used by the target inverse time limit overcurrent protection when the target parameters are adopted to remove faults to be shortest, wherein the target parameters comprise a target inverse time limit characteristic curve and a target time setting coefficient corresponding to the target inverse time limit characteristic curve.
9. A power distribution network automation system comprising a memory and a processor, the memory storing a computer program, characterized in that the processor when executing the computer program implements the steps of the method of any one of claims 1 to 7.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 7.
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