Voltage regulating method of UPS device bypass voltage stabilizing system

Abstract

The invention relates to the technical field of UPS voltage regulation, and particularly discloses a voltage regulation method for a bypass voltage stabilization system of a UPS device, a corresponding voltage stabilization transformer is arranged in the bypass voltage stabilization system, n taps are arranged on the voltage stabilization transformer, and corresponding molded case circuit breakers are arranged on the taps; the method mainly comprises the following steps of: analyzing and counting historical voltage data, and identifying a corresponding voltage-regulating voltage basic value so as to obtain a voltage-regulating voltage basic value set; generating a voltage value planning optimal scheme corresponding to the taps based on an improved genetic algorithm according to the historical voltage data and the regulated voltage basic value set; and planning an optimal scheme according to the voltage values, and determining the voltage value corresponding to each tap. According to the invention, the optimal voltage regulation operation of the bypass voltage stabilization system can be realized, and the success rate of switching the bypass voltage stabilization system by the UPS host is greatly improved.

Description

Technical Field

[0001] The present invention relates to the technical field of UPS voltage regulation, and particularly to a voltage regulation method for a bypass voltage stabilization system of a UPS device. Background Art

[0002] A UPS system is an "uninterruptible power supply" with an energy storage device, which mainly provides a constant voltage and constant frequency uninterruptible power supply for equipment such as monitoring systems, automation instruments, and remote communication systems in substations.

[0003] The UPS system includes a main cabinet, a bypass cabinet, a feeder cabinet, a battery cabinet, and a mains voltage stabilization cabinet. Under normal circumstances, the main power supply and the mains power supply provide dual power supplies for the load. When the main unit fails, it switches to the bypass power supply. If the voltage difference between the main power supply and the bypass power supply is large during the switching process, the switching will be blocked. To ensure the voltage stability of the bypass system, a voltage regulation system is set up. The existing bypass voltage regulation systems usually mainly use electronic voltage regulators, but the failure rate of electronic voltage regulators is relatively high, and faults are likely to occur during use, resulting in the bypass system being unable to perform voltage regulation operations, and the USP main unit fails to switch to the bypass system successfully.

[0004] Based on this, there is an urgent need for a voltage regulation method for a bypass voltage stabilization system of a UPS device, which can achieve the best voltage regulation operation of the bypass voltage stabilization system and greatly improve the success rate of the UPS main unit switching to the bypass voltage stabilization system. Summary of the Invention

[0005] One of the purposes of the present invention is to provide a voltage regulation method for a bypass voltage stabilization system of a UPS device, which can achieve the best voltage regulation operation of the bypass voltage stabilization system and greatly improve the success rate of the USP main unit switching to the bypass voltage stabilization system.

[0006] To achieve the above purpose, a voltage regulation method for a bypass voltage stabilization system of a UPS device is provided, including the following steps:

[0007] S1. Set a corresponding voltage stabilization transformer in the bypass voltage stabilization system, and set n taps on the voltage stabilization transformer, and corresponding molded case circuit breakers are set on the taps;

[0008] S2. Obtain the historical voltage data corresponding to the bypass voltage stabilization system;

[0009] S3. Analyze and statistically process the historical voltage data according to the historical voltage data, identify the corresponding voltage regulation voltage base value, and thus obtain a set of voltage regulation voltage base values;

[0010] S4. Generate an optimal voltage value planning scheme corresponding to the taps based on the historical voltage data and the set of voltage regulation voltage base values by means of an improved genetic algorithm;

[0011] S5. Plan the optimal solution based on the voltage value and determine the voltage values corresponding to each tap.

[0012] Principle and effect of this solution: In this solution, a voltage stabilizing transformer is set on the bypass voltage stabilizing system, and n taps are set on the voltage stabilizing transformer. The input voltage is controlled through the setting of the taps. Of course, the specific value of the input voltage needs to formulate the optimal solution through the improved genetic algorithm. Specifically, after setting the taps, the historical voltage data corresponding to this bypass voltage stabilizing system will be obtained from the database. Through this historical voltage data, the entire voltage regulation data in the history of this bypass voltage stabilizing system can be understood, and the basic voltage regulation value is determined through the historical voltage data, so as to determine the set of basic voltage regulation values.

[0013] After that, based on the historical voltage data and the set of basic voltage regulation values, generate the optimal solution for the voltage value planning corresponding to the voltage values of each tap based on the improved genetic algorithm, so as to obtain the optimal voltage values of each tap, and then realize the optimal voltage regulation solution for the bypass voltage stabilizing system, greatly improving the accuracy of voltage regulation, being able to achieve the best voltage regulation operation of the bypass voltage stabilizing system, and greatly increasing the success rate of the USP host switching to the bypass voltage stabilizing system.

[0014] Furthermore, S4 includes the following steps:

[0015] S40. According to the historical voltage data, determine the maximum voltage value and the minimum voltage value corresponding to this historical voltage data, and then select the first voltage value, the second voltage value... the (n - 1)th voltage value between the maximum voltage value and the minimum voltage value; and form the service set of the voltage value planning path corresponding to each tap with the basic voltage regulation value;

[0016] S41. Determine the constraint conditions corresponding to each service in the service set;

[0017] S42. Establish the objective function corresponding to each service in the service set;

[0018] S43. Based on the improved genetic algorithm, as well as the determined objective function and constraint conditions, realize the multi-objective optimization of the voltage value planning path in the service set;

[0019] S44. According to the result of the multi-objective optimization, optimize the voltage value planning solution of the service set and generate the corresponding optimal solution for the voltage value planning.

[0020] Beneficial effects: In this solution, the voltage value is selected according to the historical voltage data, so that the number of selected voltage values corresponds to the number of taps. Then, based on these voltage values, the basic voltage regulation value, and the historical voltage data, the service set is determined, that is, it is determined that the voltage values corresponding to each tap are different and diverse. After that, the constraint conditions and the objective function are determined. After determination, the optimal solution for voltage value planning can be determined based on the improved genetic algorithm. In this way, the optimal voltage value for each tap can be determined, so as to better operate the bypass voltage stabilization system.

[0021] Further, S43 includes the following steps:

[0022] S430. Randomly generate an initial population with a size of N. The individuals in the initial population are n - 1 voltage values selected between the maximum voltage value and the minimum voltage value and the voltage value planning path corresponding to the basic voltage regulation value; and judge and screen the individuals in the initial population through the constraint conditions, and the constraint conditions are respectively the voltage value distribution constraint condition and the voltage difference constraint condition between adjacent voltage values;

[0023] If the constraint conditions are met, the corresponding voltage value planning path becomes a feasible solution; if not, it is an infeasible solution;

[0024] S431. Calculate the first fitness and the second fitness for the screened population respectively. The calculation of the first fitness is as follows:

[0025]

[0026]

[0027] Where D1 is the total generality of the individuals in the initial population relative to the historical voltage data, Y i is the generality of the i-th voltage value relative to the historical voltage data, Y b is the generality corresponding to the basic voltage regulation value relative to the historical voltage data, and f1 is the first fitness;

[0028] The calculation of the second fitness is as follows:

[0029]

[0030] f2 = D2

[0031] In the formula: D2 is the total safety of the individuals in the initial population relative to the historical voltage data, Z j is the safety of the j-th voltage value relative to the historical voltage data, Z b is the safety corresponding to the basic voltage regulation value relative to the historical voltage data, and f2 is the second fitness;

[0032] S432. Within the first preset number of iterations, select the populations whose first fitness is less than or equal to the first fitness threshold according to the first fitness corresponding to the populations. Among the populations excluded at this time, select the top three populations with the largest second fitness and save them in the backup library.

[0033] When exceeding the first preset number of iterations, merge the populations at this time with the populations in the backup library to form a new population, and select the populations whose second fitness corresponding to the populations at this time is greater than the preset second fitness threshold.

[0034] S433. Obtain the offspring population by hybridization and mutation of the selected populations through the genetic algorithm.

[0035] S434. After obtaining the offspring population, continue to execute the fitness calculation module until the preset number of iterations is satisfied.

[0036] S435. Output the offspring population as the optimal solution set of the multi-objective optimization.

[0037] Beneficial effects: In this solution, first, the screening of each individual in the initial population is realized through the constraint conditions. After meeting the corresponding constraint conditions, the subsequent fitness of the initial population is calculated. Through the screening of the initial population, the performance of the initial population becomes more effective, greatly improving the goodness of the initial population and reducing the difficulty for subsequent calculations.

[0038] When calculating the fitness, within the first preset number of iterations, mainly examine the first fitness of the populations, that is, judge the generality of each voltage value and the voltage regulation voltage base value in the individuals relative to the historical voltage data, so as to understand the generality of each individual, and thus obtain populations with better generality. Then judge its safety, so that the selected populations have high safety when used, and better serve the bypass voltage stabilization system operation, greatly improving the effectiveness and reliability of the solution after screening the populations.

[0039] Further, the voltage value distribution constraint condition includes:

[0040]

[0041] In the formula: X i is the voltage value corresponding to the i-th voltage value, X b is the voltage regulation voltage base value, MIX is the minimum voltage value, and MAX is the maximum voltage value.

[0042] Beneficial effects: In this solution, by judging the magnitude distribution of the selected voltage values, the voltage value solutions corresponding to each individual can meet the requirements, that is, they can overcome the problem of too high system voltage and the problem of too low system voltage, so as to meet the switching requirements regardless of the system voltage situation.

[0043] Further, the voltage difference constraint conditions are specifically as follows:

[0044]

[0045] In the formula: X i is the voltage value corresponding to the i-th voltage value, and m is the preset voltage difference ratio. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1 is a flowchart of a voltage regulation method for a bypass voltage stabilization system of a UPS device according to an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0047] The following is a more detailed description through specific embodiments:

[0048] Embodiment 1

[0049] A voltage regulation method for a bypass voltage stabilization system of a UPS device is basically as Figure 1 shown, and includes the following steps:

[0050] S1. Set a corresponding voltage stabilizing transformer in the bypass voltage stabilization system, and set n taps on the voltage stabilizing transformer, and corresponding molded case circuit breakers are set on the taps; the number of taps can be set as required. In this embodiment, the number of taps is set to three. In another embodiment, the number of taps can be set to five. The setting of the taps is analyzed and calculated based on the historical voltage data of the power grid.

[0051] S2. Obtain the historical voltage data corresponding to the bypass voltage stabilization system;

[0052] S3. Analyze and statistically process the historical voltage data according to the historical voltage data, identify the corresponding voltage regulation basic value, and thus obtain a set of voltage regulation basic values;

[0053] S4. Generate an optimal scheme for the voltage value planning corresponding to the taps based on the historical voltage data and the set of voltage regulation basic values by using an improved genetic algorithm;

[0054] The S4 includes the following steps:

[0055] S40. Determine the maximum voltage value and the minimum voltage value corresponding to the historical voltage data, and then select the first voltage value, the second voltage value, …, the (n - 1)-th voltage value between the maximum voltage value and the minimum voltage value; and form a service set of the voltage value planning paths corresponding to each tap together with the regulating voltage base value;

[0056] S41. Determine the constraint conditions corresponding to each service in the service set;

[0057] S42. Establish the objective functions corresponding to each service in the service set;

[0058] S43. Based on the improved genetic algorithm, as well as the determined objective functions and constraint conditions, achieve multi-objective optimization of the voltage value planning paths in the service set;

[0059] The S43 includes the following steps:

[0060] S430. Randomly generate an initial population with a size of N. The individuals of the initial population are the voltage value planning paths corresponding to n - 1 voltage values selected between the maximum voltage value and the minimum voltage value and the regulating voltage base value; and judge and screen the individuals of the initial population through the constraint conditions, where the constraint conditions are respectively the voltage value distribution constraint condition and the voltage difference constraint condition between adjacent voltage values;

[0061] The voltage value distribution constraint condition includes:

[0062]

[0063] In the formula: X i is the voltage value corresponding to the i-th voltage value, X b is the regulating voltage base value, MIX is the minimum voltage value, and MAX is the maximum voltage value.

[0064] The voltage difference constraint condition is specifically as follows:

[0065]

[0066] In the formula: X i is the voltage value corresponding to the i-th voltage value, and m is the preset voltage difference ratio.

[0067] If the constraint conditions are met, the corresponding voltage value planning path becomes a feasible solution; if not, it is an infeasible solution;

[0068] S431. Calculate the first fitness and the second fitness for the screened population respectively. The first fitness calculation is as follows:

[0069]

[0070]

[0071] D1 is the general sum of the individuals in the initial population relative to the historical voltage data, and Y i is the generality of the i-th voltage value relative to the historical voltage data, and Y b is the generality corresponding to the voltage regulation voltage base value relative to the historical voltage data, and f1 is the first fitness; in this embodiment, wherein is the generality coefficient.

[0072] The second fitness is calculated as follows:

[0073]

[0074] f2 = D2

[0075] In the formula: D2 is the safety sum of the individuals in the initial population relative to the historical voltage data, and Z j is the safety of the j-th voltage value relative to the historical voltage data, and Z b is the safety corresponding to the voltage regulation voltage base value relative to the historical voltage data, and the f2 is the second fitness; in this embodiment, α is the first safety weight coefficient, and β is the second safety weight coefficient.

[0076] S432. Within the first preset number of iterations, according to the first fitness corresponding to the population, select the population whose first fitness is less than or equal to the first fitness threshold, and among the populations excluded at this time, select the top three populations with the largest second fitness and save them in the backup library;

[0077] When exceeding the first preset number of iterations, merge the population at this time with the populations in the backup library to form a new population, and select the populations whose second fitness corresponding to the population at this time is greater than the preset second fitness threshold;

[0078] S433. Hybridize and mutate the selected population through the genetic algorithm to obtain the offspring population;

[0079] S434. After obtaining the offspring population, continue to execute the fitness calculation module until the preset number of iterations is satisfied;

[0080] S435. Output the offspring population as the optimal solution set of the multi-objective optimization.

[0081] S44. According to the result of the multi-objective optimization, optimize the voltage value planning scheme of the service set to generate the corresponding optimal voltage value planning scheme.

[0082] S5. According to the optimal voltage value planning scheme, determine the voltage values corresponding to each tap.

[0083] The above are only embodiments of the present invention. Specific structures and common knowledge such as characteristics well-known in the art are not described in detail here. Those of ordinary skill in the art know all the common general technical knowledge in the technical field to which the invention pertains before the filing date or the priority date, can know all the prior arts in this field, and have the ability to apply the conventional experimental means before this date. Those of ordinary skill in the art can, under the inspiration given in this application, complete and implement this solution in combination with their own abilities. Some typical well-known structures or well-known methods should not become an obstacle for those of ordinary skill in the art to implement this application. It should be noted that for those skilled in the art, without departing from the structure of the present invention, several deformations and improvements can also be made, and these should also be regarded as the protection scope of the present invention, and these will not affect the implementation effect of the present invention and the practicality of the patent. The protection scope claimed in this application shall be subject to the content of its claims, and the specific implementation manners and the like recorded in the specification can be used to interpret the content of the claims.

Claims

1. A voltage regulation method for the bypass voltage stabilization system of a UPS device, characterized in that: It includes the following steps: S1. Set a corresponding voltage stabilization transformer in the bypass voltage stabilization system, and set n taps on the voltage stabilization transformer, and corresponding molded case circuit breakers are set on the taps; S2. Obtain the historical voltage data corresponding to the bypass voltage stabilization system; S3. According to the historical voltage data, analyze and statistically process the historical voltage data to identify the corresponding basic voltage regulation value, so as to obtain a set of basic voltage regulation values; S4. According to the historical voltage data and the set of basic voltage regulation values, based on the improved genetic algorithm, generate the best voltage value planning scheme corresponding to the taps; S5. According to the best voltage value planning scheme, determine the voltage values corresponding to each tap.

2. The voltage regulation method for the bypass voltage stabilization system of a UPS device according to claim 1, characterized in that: The S4 includes the following steps: S40. According to the historical voltage data, determine the maximum voltage value and the minimum voltage value corresponding to the historical voltage data, and then select the first voltage value, the second voltage value... the (n - 1)th voltage value between the maximum voltage value and the minimum voltage value; and form a service set of the voltage value planning paths corresponding to each tap with the basic voltage regulation value; S41. Determine the constraint conditions corresponding to each service in the service set; S42. Establish the objective function corresponding to each service in the service set; S43. Based on the improved genetic algorithm and the determined objective function and constraint conditions, realize the multi-objective optimization of the voltage value planning paths in the service set; S44. According to the results of the multi-objective optimization, optimize the voltage value planning scheme of the service set to generate the corresponding best voltage value planning scheme.

3. The voltage regulation method for the bypass voltage stabilization system of a UPS device according to claim 2, characterized in that: The S43 includes the following steps: S430. Randomly generate an initial population with a size of N. The individuals of the initial population are the (n - 1) voltage values selected between the maximum voltage value and the minimum voltage value and the voltage value planning paths corresponding to the basic voltage regulation value; and judge and screen the individuals of the initial population through the constraint conditions. The constraint conditions are respectively the voltage value distribution constraint condition and the voltage difference constraint condition between adjacent voltage values; If the constraint conditions are met, the corresponding voltage value planning path becomes a feasible solution; if not, it is an infeasible solution; S431. Calculate the first fitness and the second fitness for the screened population respectively. The first fitness calculation is as follows: D1 is the general sum of the individuals in the initial population relative to the historical voltage data, and Y i is the generality of the i-th voltage value relative to the historical voltage data, and Y b is the generality corresponding to the voltage regulation voltage base value relative to the historical voltage data, and f1 is the first fitness; The second fitness calculation is as follows: f2 = D2 Where: D2 is the sum of the security of individuals in the initial population relative to historical voltage data, and the Z j is the security of the j-th voltage value relative to historical voltage data, and Z b is the security corresponding to the voltage regulation voltage base value relative to historical voltage data, and the f2 is the second fitness; S432. Within the first preset number of iterations, according to the first fitness corresponding to the population, select the population with the first fitness less than or equal to the first fitness threshold, and among the populations excluded at this time, select the top three populations with the largest second fitness and save them in the spare library; When exceeding the first preset number of iterations, merge the population at this time with the populations in the spare library to form a new population, and select the populations with the second fitness greater than the preset second fitness threshold corresponding to the population at this time; S433. Obtain the offspring population by hybridization and mutation of the selected population through the genetic algorithm; S434. After obtaining the offspring population, continue to execute the fitness calculation module until the preset number of iterations is satisfied; S435. Output the offspring population as the optimal solution set for multi-objective optimization.

4. A voltage regulation method for a bypass voltage stabilization system of a UPS device according to claim 3, characterized in that: The voltage value distribution constraint conditions are specifically as follows: where: X i is the voltage value corresponding to the i-th voltage value, X b is the basic voltage value for voltage regulation, MIX is the minimum voltage value, and MAX is the maximum voltage value.

5. A voltage regulation method for a bypass voltage stabilization system of a UPS device according to claim 3, characterized in that: The voltage difference constraint conditions are specifically as follows: where: X i is the voltage value corresponding to the i-th voltage value, and m is the preset voltage difference ratio.

Images