CN115796403A - Power supply device capacity expansion evaluation method and equipment and storage medium thereof - Google Patents
Power supply device capacity expansion evaluation method and equipment and storage medium thereof Download PDFInfo
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Abstract
The application discloses a power supply device capacity expansion assessment method, equipment and a storage medium thereof, and belongs to the technical field of power supply device capacity expansion assessment. The power supply device capacity expansion evaluation method comprises the following steps: dynamically acquiring power supply data and device parameters corresponding to each power supply device in a building to be expanded; generating a topological relation of the power supply devices according to the power supply relation among the power supply devices; determining a current load rate and a power load rate corresponding to each power supply device according to the topology relation, the power supply data and the device parameters of the power supply devices; and generating a capacity expansion evaluation report corresponding to the power supply device based on the current load rate and the power load rate. The technical problem that the capacity expansion efficiency of a power supply device is low in the prior art is solved.
Description
Technical Field
The present disclosure relates to the field of power supply expansion evaluation technologies, and in particular, to a power supply expansion evaluation method and device and a storage medium thereof.
Background
With the development of society, electric energy becomes indispensable energy, and an electric power company can provide electric quantity for various users, enterprises and the like through an electric power MDM (Master Data Management) system. For the requirement of power supply expansion of users, power companies need to accurately master the power supply conditions of related power supply devices and accurately estimate the load conditions of each power supply device after expansion, so that a correct decision can be made. However, in the prior art, because some commercial and residential dual-purpose integrated buildings have complex structures and diverse power supply requirements, a large amount of human resources are required to evaluate the capacity expansion requirement of the power supply device, which causes the difficulty of capacity expansion evaluation of the conventional power supply device to affect the capacity expansion efficiency of the power supply device.
The above is only for the purpose of assisting understanding of the technical solutions of the present application, and does not represent an admission that the above is prior art.
Disclosure of Invention
The present application mainly aims to provide a power supply device capacity expansion assessment method, a device and a storage medium thereof, and aims to solve the technical problem that the capacity expansion efficiency of the power supply device in the prior art is low.
In order to achieve the above object, the present application provides a power supply device capacity expansion assessment method, where the power supply device capacity expansion assessment method includes:
dynamically acquiring power supply data and device parameters corresponding to each power supply device in a building to be expanded;
generating a topological relation of the power supply devices according to the power supply relation among the power supply devices;
determining a current load rate and a power load rate corresponding to each power supply device according to the topology relation, the power supply data and the device parameters of the power supply devices;
and generating a capacity expansion evaluation report corresponding to the power supply device based on the current load rate and the power load rate.
Optionally, the step of generating a topological relation of the power supply devices according to the power supply relation between the power supply devices includes:
according to a preset classification rule and a power supply relation between the power supply devices, carrying out hierarchy division on the power supply devices to determine device hierarchies corresponding to the power supply devices;
and performing device sorting according to the device hierarchy and the preset sequence corresponding to each power supply device, and connecting each power supply device according to the power supply relationship among the power supply devices to construct the power supply device topological relationship and generate a power supply device topological relationship diagram, wherein each power supply device corresponds to each node in the power supply device topological relationship, and the power supply relationship among the power supply devices corresponds to the connection relationship among the nodes.
Optionally, the device parameters include: the method comprises the following steps of determining a current load rate and a power load rate corresponding to each power supply device according to the topology relation, the power supply data and the device parameters of the power supply devices, wherein the steps comprise:
analyzing the power supply data according to the topological relation of the power supply devices to determine the current and the active electric energy corresponding to each power supply device;
calculating a current imaginary part and a current real part corresponding to each power supply device according to the current and the total power factor corresponding to each power supply device, and determining a current load rate corresponding to each power supply device according to the current imaginary part, the current real part and the rated current;
and determining the power load rate corresponding to each power supply device according to the active electric energy and the rated capacity corresponding to each power supply device.
Optionally, the expansion evaluation report includes a topological graph of load ratios of each stage, and the step of generating the expansion evaluation report corresponding to the power supply device based on the current load ratio and the power load ratio includes:
determining the maximum current load rate and the maximum power load rate of each power supply device within a preset first evaluation duration according to the preset first evaluation duration;
according to a preset load rate interval distribution rule, respectively determining a load rate interval where the maximum current load rate and the maximum power load rate of each power supply device are located within a preset first evaluation duration, and performing data integration according to the power supply device topological relation to generate the load rate topological graph of each level, wherein the load rate topological graph of each level comprises the maximum current load rate and the maximum power load rate of each power supply device within the preset first evaluation duration, and the load rate interval where the maximum current load rate and the maximum power load rate of each power supply device are located within the preset first evaluation duration.
Optionally, the expansion evaluation report includes a load rate timing graph, and the step of generating the expansion evaluation report corresponding to the power supply device based on the current load rate and the power load rate further includes:
determining the current load rate and the power load rate of each power supply device corresponding to each preset third interval duration within the preset second evaluation duration according to the preset second evaluation duration and the preset third interval duration, and respectively drawing curves to generate a load rate time sequence chart corresponding to each power supply device;
and the preset second evaluation time length is greater than the preset third interval time length.
Optionally, the expansion evaluation report includes a daily load rate curve, and the step of generating the expansion evaluation report corresponding to the power supply device based on the current load rate and the power load rate further includes:
according to a preset fourth evaluation duration, determining a daily maximum current load rate, a daily minimum current load rate, a daily average current load rate, a daily maximum power load rate, a daily minimum power load rate and a daily average power load rate of each power supply device in the preset fourth evaluation duration, and respectively drawing curves to generate a daily load rate curve corresponding to each power supply device.
Optionally, the expansion evaluation report includes a load rate interval distribution map, and the step of generating the expansion evaluation report corresponding to the power supply device based on the current load rate and the power load rate further includes:
according to a preset fifth evaluation duration, determining the current load rate per minute and the power load rate per minute of each power supply device in the preset fifth evaluation duration;
according to a preset load rate interval distribution rule, determining load rate intervals where current load rates per minute and power load rates per minute of each power supply device are located within a preset fifth evaluation time period, and carrying out time period statistics on each load rate interval to generate a load rate interval distribution diagram corresponding to each power supply device.
Optionally, after the step of generating the capacity expansion evaluation report corresponding to the power supply device, the method includes:
when a capacity expansion demand is received, calculating the openable capacity in the capacity expansion evaluation report, and determining a simulation capacity expansion capacity according to the openable capacity and the capacity expansion demand;
and performing simulated expansion according to the simulated expansion capacity to generate a load rate prediction curve, and comparing the load rate prediction curve with a load rate actual curve in the expansion evaluation report to generate a load rate comparison curve graph.
The present application further provides a power supply unit dilatation evaluation device, power supply unit dilatation evaluation device includes: the power supply device capacity expansion evaluation method comprises a memory, a processor and a power supply device capacity expansion evaluation program which is stored on the memory and can run on the processor, wherein the power supply device capacity expansion evaluation program is configured to realize the steps of the power supply device capacity expansion evaluation method.
The present application further provides a storage medium, where the storage medium is a computer-readable storage medium, and a power supply device capacity expansion evaluation program is stored on the computer-readable storage medium, where the power supply device capacity expansion evaluation program is executed by a processor to implement the above-mentioned steps of the power supply device capacity expansion evaluation method.
The application discloses a power supply device capacity expansion evaluation method, which includes the steps that power supply data and device parameters corresponding to power supply devices in a building to be subjected to capacity expansion are dynamically acquired, a power supply device topological relation is generated according to a power supply relation among the power supply devices, and then current load rates and power load rates corresponding to all levels of power supply devices are determined, so that multi-dimensional load conditions and load characteristics of all levels of power supply devices are accurately evaluated; the situation that the current load rate and the power load rate corresponding to the power supply device are difficult to obtain because part of the power supply devices in the power supply network are not provided with electric meters is avoided; generating a capacity expansion evaluation report corresponding to part and/or the whole of each stage of power supply device based on the current load rate and the power load rate corresponding to each stage of power supply device; the line load condition of each stage of power supply device at any time and in any season can be accurately analyzed through the capacity expansion evaluation report, so that an optimal capacity expansion scheme is provided for a user, the load requirements of each specialty are met, and the capacity expansion efficiency of the power supply device is further improved.
Drawings
Fig. 1 is a schematic structural diagram of a capacity expansion evaluation device of a power supply unit in a hardware operating environment according to an embodiment of the present application;
fig. 2 is a schematic flowchart of a power supply device capacity expansion evaluation method according to an embodiment of the present application;
fig. 3 is a topological relation diagram of a power supply apparatus according to a power supply apparatus capacity expansion evaluation method according to an embodiment of the present application;
fig. 4 is a topological diagram of load rates of respective stages of a power supply device capacity expansion evaluation method according to an embodiment of the present application;
fig. 5 is a load rate interval distribution diagram of a power supply device capacity expansion evaluation method according to an embodiment of the present application.
Detailed Description
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.
In addition, the descriptions related to "first", "second", etc. in the present invention are for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In addition, "and/or" in the whole text includes three schemes, taking a and/or B as an example, including a technical scheme, and a technical scheme that a and B meet simultaneously; in addition, technical solutions between various embodiments may be combined with each other, but must be realized by a person skilled in the art, and when the technical solutions are contradictory or cannot be realized, such a combination should not be considered to exist, and is not within the protection scope of the present invention.
The implementation, functional features and advantages of the objectives of the present application will be further explained with reference to the accompanying drawings.
Referring to fig. 1, fig. 1 is a schematic structural diagram of power expansion evaluation equipment of a power supply unit capacity expansion evaluation power supply unit in a hardware operating environment according to an embodiment of the present application.
As shown in fig. 1, the power supply device capacity expansion evaluation equipment may include: a processor 1001, such as a Central Processing Unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. The communication bus 1002 is used to implement connection communication among these components. The user interface 1003 may include a Display screen (Display), an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a WIreless interface (e.g., a WIreless-FIdelity (WI-FI) interface). The Memory 1005 may be a Random Access Memory (RAM) Memory, or may be a Non-Volatile Memory (NVM), such as a disk Memory. The memory 1005 may alternatively be a storage device separate from the processor 1001.
Those skilled in the art will appreciate that the configuration shown in fig. 1 does not constitute a limitation of the power supply expansion evaluation apparatus, and may include more or fewer components than those shown, or some components in combination, or a different arrangement of components.
As shown in fig. 1, the memory 1005 as a storage medium may include an operating system, a data storage module, a network communication module, a user interface module, and a power supply device capacity expansion evaluation program.
In the power supply device capacity expansion evaluation apparatus shown in fig. 1, the network interface 1004 is mainly used for data communication with other apparatuses; the user interface 1003 is mainly used for data interaction with a user; processor 1001, memory 1005 in the power supply unit dilatation evaluation equipment of this application can set up in power supply unit dilatation evaluation equipment, power supply unit dilatation evaluation equipment calls the power supply unit dilatation evaluation program of storage 1005 in through processor 1001 to carry out following operation:
dynamically acquiring power supply data and device parameters corresponding to each power supply device in a building to be expanded;
generating a topological relation of the power supply devices according to the power supply relation among the power supply devices;
determining a current load rate and a power load rate corresponding to each power supply device according to the topology relation, the power supply data and the device parameters of the power supply devices;
and generating a capacity expansion evaluation report corresponding to the power supply device based on the current load rate and the power load rate.
Further, the step of generating a topological relation of the power supply devices according to the power supply relation among the power supply devices includes:
according to a preset grading rule and a power supply relation between the power supply devices, carrying out hierarchical division on the power supply devices to determine device hierarchies corresponding to the power supply devices;
and performing device sorting according to the device hierarchy and the preset sequence corresponding to each power supply device, and connecting each power supply device according to the power supply relationship among the power supply devices to construct the power supply device topological relationship and generate a power supply device topological relationship diagram, wherein each power supply device corresponds to each node in the power supply device topological relationship, and the power supply relationship among the power supply devices corresponds to the connection relationship among the nodes.
Further, the device parameters include: the method comprises the following steps of determining a current load rate and a power load rate corresponding to each power supply device according to the topology relation, the power supply data and the device parameters of the power supply devices, wherein the steps comprise:
analyzing the power supply data according to the topological relation of the power supply devices to determine the current and the active electric energy corresponding to each power supply device;
calculating a current imaginary part and a current real part corresponding to each power supply device according to the current and the total power factor corresponding to each power supply device, and determining a current load rate corresponding to each power supply device according to the current imaginary part, the current real part and the rated current;
and determining the power load rate corresponding to each power supply device according to the active electric energy and the rated capacity corresponding to each power supply device.
Further, the expansion evaluation report includes a topological graph of load ratios of each stage, and the step of generating the expansion evaluation report corresponding to the power supply device based on the current load ratio and the power load ratio includes:
determining the maximum current load rate and the maximum power load rate of each power supply device within a preset first evaluation duration according to the preset first evaluation duration;
according to a preset load rate interval distribution rule, respectively determining a load rate interval where the maximum current load rate and the maximum power load rate of each power supply device are located within a preset first evaluation duration, and performing data integration according to the power supply device topological relation to generate the load rate topological graph of each level, wherein the load rate topological graph of each level comprises the maximum current load rate and the maximum power load rate of each power supply device within the preset first evaluation duration, and the load rate interval where the maximum current load rate and the maximum power load rate of each power supply device are located within the preset first evaluation duration.
Further, the step of generating the capacity expansion evaluation report corresponding to the power supply device based on the current load rate and the power load rate includes:
determining the current load rate and the power load rate of each power supply device corresponding to each preset third interval duration within the preset second evaluation duration according to the preset second evaluation duration and the preset third interval duration, and respectively drawing curves to generate a load rate time sequence chart corresponding to each power supply device;
and the preset second evaluation time length is greater than the preset third interval time length.
Further, the expansion evaluation report includes a daily load rate curve, and the step of generating the expansion evaluation report corresponding to the power supply device based on the current load rate and the power load rate further includes:
according to a preset fourth evaluation duration, determining a daily maximum current load rate, a daily minimum current load rate, a daily average current load rate, a daily maximum power load rate, a daily minimum power load rate and a daily average power load rate of each power supply device in the preset fourth evaluation duration, and respectively drawing curves to generate a daily load rate curve corresponding to each power supply device.
Further, the step of generating the capacity expansion evaluation report corresponding to the power supply device based on the current load rate and the power load rate further includes:
according to a preset fifth evaluation duration, determining the current load rate per minute and the power load rate per minute of each power supply device in the preset fifth evaluation duration;
and determining load rate intervals where current load rates per minute and power load rates per minute of each power supply device are located within a preset fifth evaluation time length according to a preset load rate interval distribution rule, and carrying out time length statistics on each load rate interval to generate a load rate interval distribution graph corresponding to each power supply device.
Further, the processor 1001 may call the power supply capacity expansion evaluation program stored in the memory 1005, and further perform the following operations:
after the step of generating the capacity expansion evaluation report corresponding to the power supply device, the method includes:
when a capacity expansion demand is received, calculating the openable capacity in the capacity expansion evaluation report, and determining a simulation capacity expansion capacity according to the openable capacity and the capacity expansion demand;
and performing simulated expansion according to the simulated expansion capacity to generate a load rate prediction curve, and comparing the load rate prediction curve with a load rate actual curve in the expansion evaluation report to generate a load rate comparison curve graph.
Based on the above structure, various embodiments of the power supply device capacity expansion evaluation method are provided.
Referring to fig. 2, fig. 2 is a schematic flow chart of a power supply device capacity expansion evaluation method according to a first embodiment of the present invention.
In this embodiment, an execution main body of the power supply device capacity expansion evaluation method may be power supply device capacity expansion evaluation equipment, and the power supply device capacity expansion evaluation equipment may be network equipment or local equipment including an electric power MDM system. In this embodiment, the power supply device capacity expansion evaluation method includes:
step S10, dynamically acquiring power supply data and device parameters corresponding to each power supply device in the building to be expanded;
in order to accurately master the power supply conditions of the related power supply devices in any power supply network, power supply data and device parameters corresponding to the related power supply devices in the power supply network of the building to be expanded are dynamically acquired.
In a feasible implementation manner, because only part of the user-side power supply devices are additionally provided with electric meters in a conventional power supply network, the determination of the load condition and the load characteristic of each stage of power supply device is realized by dynamically acquiring power supply data acquired by a tail-end electric meter in the power supply network, device parameters corresponding to each power supply device and a power supply device topological relation generated according to the power supply relation among the power supply devices, so that the power supply condition of each stage of power supply device is accurately mastered.
Optionally, the time interval for dynamically acquiring each power supply data may be determined according to an actual situation, which is not limited in this embodiment, for example, the time interval for dynamically acquiring the power supply data is sufficiently small, so that the power supply data corresponding to each power supply device is basically acquired in real time, the measurement data for determining the current load rate and the power load rate is acquired more timely and accurately, and the real-time performance of monitoring the load conditions of each stage of power supply device is further enhanced.
The power supply data refers to data collected by the electricity meter and/or the power supply device, and includes but is not limited to: current, voltage, electric energy, etc., wherein the current may include three-phase current, i.e., a-phase current, B-phase current, and C-phase current; the device parameter refers to parameter information corresponding to the electricity meter and/or the power supply device, and includes but is not limited to: rated capacity, total power factor, rated current, etc.
Step S20, generating a power supply device topological relation according to the power supply relation among the power supply devices;
acquiring the upper and lower power supply relations among the power supply devices in the power supply network, further constructing the topological relations of the power supply devices according to the power supply relations, generating corresponding topological relation graphs of the power supply devices, and displaying the interrelations between data and devices through the topological relation interfaces of the related power supply devices.
The topological relation of the power supply devices means that the mutual spatial connection and adjacency relation between the power supply devices does not consider specific positions.
Step S30, determining the current load rate and the power load rate corresponding to each power supply device according to the topological relation, the power supply data and the device parameters of the power supply devices;
because some power supply devices may not be provided with a matching ammeter, the current load rate and the power load rate of each rated capacity (including the total capacity) of each stage of power supply device can be calculated through power supply data collected by the matching ammeter of the power supply device at the user side (the bottommost layer) and the topological relation of the power supply devices.
The load rate is the ratio of the load actually borne by the power supply device to the capacity of the power supply device and is used for reflecting the bearing capacity of the power supply device; in this embodiment, the load factor includes a current load factor and a power load factor, where the current load factor may be a three-phase current load factor, that is, the load factor includes: the current load rate of the A-phase current, the current load rate of the B-phase current and the current load rate of the C-phase current can be used for evaluating the current condition of any power supply device in the power supply network; the power load rate can reflect how much power the power supply network can load; load rate evaluation is carried out through two dimensions of current and power, so that an evaluation report result is more accurate, and the capacity expansion efficiency of the power supply device is improved.
And step S40, generating a capacity expansion evaluation report corresponding to the power supply device based on the current load rate and the power load rate.
Generating a capacity expansion evaluation report corresponding to each level of power supply device and/or the whole power supply network according to the obtained current load rate and power load rate corresponding to each level of power supply device, wherein the capacity expansion evaluation report comprises load rates, load rate distribution intervals, load rate fluctuation ranges, load rate characteristic data, load rate topological graphs of each level, load rate time sequence graphs, daily load rate curves, load rate interval distribution graphs and the like corresponding to each level of power supply device; each data in the expansion evaluation report may be displayed in the form of a table, a graph, a histogram, or the like, or may be displayed by generating a corresponding expansion evaluation interface, which is not limited in this embodiment.
In this embodiment, a topological relation of the power supply devices is generated by dynamically obtaining power supply data and device parameters corresponding to each power supply device and according to a power supply relation among the power supply devices, so that current load rates and power load rates corresponding to the power supply devices of each stage are determined, and accurate evaluation of multi-dimensional load conditions and load characteristics of the power supply devices of each stage is realized; the situation that the current load rate and the power load rate corresponding to the power supply device are difficult to obtain due to the fact that part of the power supply devices in the power supply network are not provided with electric meters is avoided; further, based on the current load rate and the power load rate corresponding to each stage of power supply device, generating a capacity expansion evaluation report corresponding to part and/or the whole of each stage of power supply device; the line load condition of each stage of power supply device at any time and in any season can be accurately analyzed through the capacity expansion evaluation report, so that an optimal capacity expansion scheme is provided for a user, the load requirements of each specialty are met, and the capacity expansion efficiency of the power supply device is further improved.
Further, after the step of generating the capacity expansion evaluation report corresponding to the power supply device, the method includes:
step S50, when a capacity expansion requirement is received, calculating the openable capacity in the capacity expansion evaluation report, and determining a simulation capacity expansion according to the openable capacity and the capacity expansion requirement;
when a capacity expansion requirement corresponding to a user is received, calculating the expandable capacity in the current power supply network, namely the capacity capable of expanding the capacity, according to the real-time capacity expansion evaluation report; judging whether the openable capacity meets the capacity expansion requirement or not according to the openable capacity and the capacity expansion requirement; if yes, taking the capacity expansion requirement as the simulated capacity expansion; if not, taking the openable capacity as the simulated expansion capacity; the analog expansion capacity is an analog value of the expansion amount determined according to the openable capacity and the expansion demand.
In a feasible implementation manner, the openable capacity can be obtained by calculating the rated power and the power load rate corresponding to the power supply device to be expanded; exemplary, openable capacity = rated power-rated power x power load rate.
And S60, performing simulated expansion according to the simulated expansion capacity to generate a load rate prediction curve, and comparing the load rate prediction curve with a load rate actual curve in the expansion evaluation report to generate a load rate comparison curve chart.
Carrying out simulated expansion on the power supply device to be expanded according to the simulated expansion capacity, and after the simulated expansion capacity is calculated in a simulated mode, within a preset time length, simulating the current load rate and the simulated power load rate of the power supply device to be expanded; drawing a load rate prediction curve of the power supply device after capacity expansion by taking the simulated current load rate and the simulated power load rate as coordinate points; and comparing the load rate prediction curve with the load rate actual curve of the power supply device after capacity expansion in the capacity expansion evaluation report to obtain a load rate comparison curve chart, so as to judge whether the capacity expansion scheme is feasible according to the load rate comparison curve chart, provide the optimal capacity expansion scheme for the user, and further improve the capacity expansion efficiency of the power supply device.
Illustratively, when analogue capacity expansion is carried out, average load rate data of relevant users at each moment is automatically obtained according to the load rate data at each moment, then the proportion of users with each rated capacity is regulated in an analogue mode, new load rate data are obtained according to the fact that the regulated number of users is multiplied by the average load rate data at each moment, then a load rate comparison curve graph before and after regulation is generated, and then a load rate prediction graph after capacity expansion can be obtained visually.
Illustratively, the load rate of the phase A current of the power supply device is 40% of light load, and the load rate of the phase B current is 92% of heavy load; for line safety, the load of the phase B part needs to be adjusted to the phase A, then the simulated expansion capacity is determined according to the openable capacity in the expansion evaluation report, the simulated expansion is carried out to obtain a load rate prediction curve, and a load rate comparison curve graph is generated; according to the load factor comparison graph, after the simulated capacity expansion, the load factor of the phase A current is increased from 40% to 57%, the load factor of the phase B current is decreased from 92% to 75%, and the two-phase current load factors of A, B are all in the normal load factor range after the regulation, so that the capacity expansion scheme is feasible, and the construction is performed according to the capacity expansion scheme, so that the capacity expansion efficiency of the power supply device is improved.
In this embodiment, when a capacity expansion requirement of a user is received, an openable capacity corresponding to a power supply device in a capacity expansion evaluation report is calculated, and a simulated capacity expansion capacity is determined according to the openable capacity and the capacity expansion requirement; and then carrying out simulated expansion according to the simulated expansion capacity to generate a load rate prediction curve, and comparing the load rate prediction curve with a load rate actual curve in the expansion evaluation report to generate a load rate comparison curve. Through the load ratio contrast curve graph, the accurate prediction of the load condition after capacity expansion is realized, the feasibility of the capacity expansion scheme is rapidly evaluated by the power company, the accurate capacity expansion is further achieved, and the capacity expansion efficiency of the power supply device is further improved.
Further, based on the first embodiment, a second embodiment of the capacity expansion evaluation method for a power supply device according to the present invention is provided, in this embodiment, step S20 includes:
step S21, according to a preset grading rule and a power supply relation between the power supply devices, carrying out hierarchy division on the power supply devices to determine device hierarchies corresponding to the power supply devices;
step S22, constructing a topological relation of the power supply devices according to the device levels corresponding to the power supply devices and the power supply relation among the power supply devices, and generating a topological relation graph of the power supply devices.
According to a preset grading rule and power supply relations among the power supply devices, carrying out hierarchical division on the power supply devices in a power supply network, taking a main power supply device of a building to be expanded as a preset first-layer (highest-level) power supply device, and taking power supply devices in the building to be expanded, which are responsible for presetting the number of floors, as second-layer (next-level) power supply devices; the power supply devices in charge of each floor in the building to be expanded are all used as power supply devices of a third layer (lowest level), so that the device levels corresponding to the power supply devices are determined; sequencing the devices from high to low in hierarchy or from low to high in hierarchy according to the device hierarchy corresponding to each power supply device, and taking each device as a node in the topological relation of the power supply devices; and then connecting all nodes according to the power supply relationship among all power supply devices to construct the topology relationship of the power supply devices, and performing node assignment of the topology map according to the device parameters corresponding to all the power supply devices, so as to generate the topology relationship map of the power supply devices according to the topology relationship of the power supply devices, and display the mutual relationship between data and devices through the topology relationship interface of the related power supply devices.
The preset classification rule is a hierarchy division rule for each power supply device in any power supply network, and the power supply devices are divided into a first-layer power supply device, a second-layer power supply device, a third-layer power supply device, and the like according to the rule, and the specific division rule may be determined according to an actual situation, which is not limited in this embodiment.
Exemplarily, referring to fig. 3, which is a topological relation diagram of a power supply device, the power supply network includes A, B two complex buildings, each building has 30 floors, and each floor includes 5 households; the power supply devices in the power supply network are divided into three levels according to the rules of the preset classification, wherein the power supply device at the first layer is a main power supply device of a building, the power supply devices at the second layer are respectively in charge of 10 layers, and the power supply devices at the third layer are respectively in charge of 5 households per layer; further, according to the power supply relationship construction between A, B two power supply devices, the topology relationship of the power supply devices generates a topology relationship diagram of the power supply devices, wherein the topology relationship diagram of the power supply devices comprises the device levels corresponding to the power supply devices, the connection relationship between the upper and lower levels, the current, the floor and other basic information; and the power supply relationship among the power supply devices in the power supply network is visually displayed in a visual mode.
In the embodiment, each power supply device is hierarchically divided according to a preset hierarchical rule and a power supply relation between the power supply devices to determine a device hierarchy corresponding to each power supply device; and then according to the device levels corresponding to the power supply devices and the power supply relationship among the power supply devices, constructing the topological relationship of the power supply devices, generating a topological relationship diagram of the power supply devices, visually displaying the power supply relationship among the power supply devices in the power supply network in a visual mode, and improving the accuracy of the capacity expansion evaluation report.
Further, based on the first and/or second embodiments, a third embodiment of the capacity expansion evaluation method for a power supply apparatus according to the present invention is provided, in this embodiment, step S30 includes:
step S31, analyzing the power supply data according to the topological relation of the power supply devices to determine the current and the active electric energy corresponding to each power supply device;
since part of power supply devices in a conventional power supply network may not be provided with electric meters, it is difficult to directly collect corresponding current and active electric energy; therefore, the current and the public electric energy of the upper power supply device can be accurately acquired through the current and the active electric energy collected by the ammeter assembled on the tail end (user side) power supply device according to the topological relation of the power supply device.
Step S32, calculating a current imaginary part and a current real part corresponding to each power supply device according to the current and the total power factor corresponding to each power supply device, and determining a current load rate corresponding to each power supply device according to the current imaginary part, the current real part and the rated current;
calculating to obtain a current imaginary part and a current real part corresponding to the power supply device by obtaining the current and the total power factor corresponding to the power supply device; calculating to obtain a current load rate corresponding to the power supply device according to the current imaginary part, the current real part and the rated current; the current load rate is a three-phase current load rate, namely, the current load rate comprises an A-phase current load rate, a B-phase current load rate and a C-phase current load rate.
Illustratively, the calculation formula of the real part of the current is as follows:
；
the calculation formula of the imaginary part of the current is as follows:
；
the calculation formula of the A-phase current load factor is as follows:
；
wherein A is a real current part, B is an imaginary current part, I A For phase A current, PF is the total power factor, I R Rated current;
the calculation formula of the load ratios of the phase B and the phase C is the same for the load ratio of the phase A.
Step S33, determining a power load factor corresponding to each power supply device according to the active power and the rated capacity corresponding to each power supply device.
Because the user electric meter does not collect power data, active power is replaced by active electric energy per hour, and power load rate data of the same dimension is calculated according to the active electric energy and rated capacity corresponding to each power supply device.
For example, the power load factor is calculated as: power load rate = (hour active power/rated capacity) × 100%.
In this embodiment, the obtained power supply data is analyzed through the topological relation of the power supply devices, so as to determine the current and the active power energy corresponding to each power supply device; calculating a current imaginary part and a current real part corresponding to each power supply device according to the current and the total power factor corresponding to each power supply device, and determining a current load rate corresponding to each power supply device according to the current imaginary part, the current real part and the rated current; determining the power load rate corresponding to each power supply device according to the active electric energy and the rated capacity corresponding to each power supply device; the load condition of the power supply device is evaluated through two dimensions of the current load rate and the power load rate, so that the evaluation result is more accurate and reliable.
Further, based on the first, second and/or third embodiments, a fourth embodiment of the capacity expansion evaluation method of the power supply apparatus according to the present invention is provided, in this embodiment, step S40 includes:
step S41, according to a preset first evaluation duration, determining the maximum current load rate and the maximum power load rate of each power supply device within the preset first evaluation duration;
step S42, respectively determining load rate intervals where the maximum current load rate and the maximum power load rate of each power supply device are located within a preset first evaluation duration according to a preset load rate interval distribution rule, and performing data integration according to the power supply device topological relation to generate the load rate topological graph of each level, wherein the load rate topological graph of each level comprises the maximum current load rate and the maximum power load rate of each power supply device within the preset first evaluation duration, and the load rate intervals where the maximum current load rate and the maximum power load rate of each power supply device are located within the preset first evaluation duration.
Determining the maximum current load rate and the maximum power load rate of each stage of power supply device in the power supply network within a preset first evaluation duration according to the preset first evaluation duration; respectively determining the maximum current load rate and the load rate interval of the maximum power load rate of each stage of power supply device within a preset first evaluation duration according to a preset load rate interval distribution rule; according to the topological relation of the power supply device, performing data integration on the data and assigning values to nodes in the topological relation to generate a topological graph of the load rate of each level, and displaying the topological graph of the load rate of each level through a capacity expansion evaluation report; wherein, each level load rate topological graph comprises: presetting a first evaluation duration, a topological relation of power supply devices, rated currents corresponding to all levels of power supply devices and levels of the power supply devices, a maximum current load rate and a maximum power load rate of all levels of power supply devices in the preset first evaluation duration, and a load rate interval of the maximum current load rate and the maximum power load rate of all levels of power supply devices in the preset first evaluation duration; marking the maximum current load rate and the maximum power load rate of different load rate intervals by different colors and graphs for distinguishing; illustratively, the overload load rate is marked with a red cross.
In the application, the evaluation duration includes a first evaluation duration, a second evaluation duration, a third interval duration, a fourth evaluation duration, a fifth evaluation duration and the like, and the first/second and the like are used for distinguishing; the evaluation time may be determined according to actual conditions, and the embodiment is not limited thereto.
The load rate interval distribution rule is a division rule of the interval where the load rate is located; illustratively, the load rate interval distribution rule includes: overload (the load rate is more than 100 percent), heavy load (the load rate is more than 80 percent and less than or equal to 100 percent), normal 1 (the load rate is more than 70 percent and less than or equal to 80 percent), normal 2 (the load rate is more than 50 percent and less than or equal to 70 percent) and light load (the load rate is less than or equal to 50 percent).
Exemplarily, referring to fig. 4, a topological graph of load rates of each level is shown, where the distribution rule of load rate intervals includes: overload (the load rate is more than 100 percent), heavy load (the load rate is more than 80 percent and less than or equal to 100 percent), normal 1 (the load rate is more than 70 percent and less than or equal to 80 percent), normal 2 (the load rate is more than 50 percent and less than or equal to 70 percent) and light load (the load rate is less than or equal to 50 percent); the power supply connection relation between each layer of power supply device on the right side, and corresponding power supply data and device parameters comprise: device identification, reference current, a-phase current load rate, a B-phase current load rate, a C-phase current load rate, and a P/Se power load rate.
In this embodiment, according to a preset first evaluation duration, a maximum current load rate and a maximum power load rate of each power supply device within the preset first evaluation duration are collected and calculated; respectively determining the maximum current load rate and the load rate interval of the maximum power load rate of each power supply device within a preset first evaluation duration according to a preset load rate interval distribution rule, and performing data integration according to the topological relation of the power supply devices to generate a topological graph of the load rate of each level; through the topological graph of the load rate of each level, the load rate conditions of the power supply network and the power supply devices of each level in the first evaluation time period are visually displayed in a visual mode, so that an optimal capacity expansion scheme is provided for a user, the load requirements of each specialty are met, and the capacity expansion efficiency of the power supply devices is further improved.
Further, the step of generating a capacity expansion evaluation report corresponding to the power supply device based on the current load rate and the power load rate further includes:
step S43, determining the current load rate and the power load rate of each power supply device corresponding to the preset third interval duration within the preset second evaluation duration according to the preset second evaluation duration and the preset third interval duration, and respectively drawing curves to generate a load rate time sequence chart corresponding to each power supply device;
according to the preset second evaluation duration and the preset third interval duration, acquiring and calculating the current load rate and the power load rate corresponding to the preset third interval duration of each level of power supply device in the preset second evaluation duration, further drawing a curve by taking the obtained load rate data as a coordinate point to generate a load rate time sequence curve chart corresponding to each level of power supply device, and displaying the load rate time sequence curve chart through a capacity expansion evaluation report; the preset second evaluation time length is longer than a preset third interval time length; the load rate timing graph includes: the current load rate time sequence curve and the power load rate time sequence curve corresponding to any power supply device, the current load rate range and the power load rate range in the second evaluation duration, the rated voltage, the reference current, the reference power, the evaluation time, the data integrity rate, the missing data information and the like.
Illustratively, the second evaluation time is 30 days, the third interval time is 15 min, and then a load rate time sequence chart of any power supply device within 30 days at intervals of 15 min is drawn.
In a feasible real-time mode, analyzing the collected load rate time sequence curve data, and sequencing the current load rate and the power load rate collected in each third interval time from large to small so as to draw a continuous load rate ranking curve graph of the power supply device; illustratively, the whole evaluation time (second evaluation duration) is set to be 100%, every 5% is used as a vertical line grid for time division, the collected current load rate and power load rate at each moment (15 min) are arranged from large to small from left to right, and the load rate ranking at each vertical line grid is labeled to draw a power supply device continuous load rate ranking curve graph.
In this embodiment, the current load rate and the power load rate of each stage of power supply device within the preset second evaluation duration are determined according to the preset second evaluation duration and the preset third interval duration, and curves are respectively drawn to generate the load rate time sequence graph corresponding to each stage of power supply device; through the load rate time sequence curve chart, the fluctuation condition of the load rate of the power supply network and each level of power supply device, the fluctuation range condition and the integrity rate and missing data information of data acquisition are visually displayed in a visual mode, detailed and accurate evaluation on the power supply device is realized, an optimal capacity expansion scheme is provided for a user, the load requirements of each specialty are met, and the capacity expansion efficiency of the power supply device is further improved.
Further, the step of generating a capacity expansion evaluation report corresponding to the power supply device based on the current load rate and the power load rate further includes:
step S44, according to a preset fourth evaluation duration, determining a daily maximum current load rate, a daily minimum current load rate, a daily average current load rate, a daily maximum power load rate, a daily minimum power load rate, and a daily average power load rate of each power supply device within the preset fourth evaluation duration, and respectively drawing curves to generate a daily load rate curve corresponding to each power supply device.
According to a preset fourth evaluation duration, the daily maximum current load rate, the daily minimum current load rate, the daily average current load rate, the daily maximum power load rate, the daily minimum power load rate and the daily average power load rate of each stage of power supply device in the preset fourth evaluation duration are collected and calculated, a daily maximum current load rate curve, a daily minimum current load rate curve, a daily average current load rate curve, a daily maximum power load rate curve, a daily minimum power load rate curve and a daily average power load rate curve are respectively drawn by taking the load rate data as coordinate points, so that a daily load rate curve graph corresponding to the power supply device is generated, and the daily load rate curve graph is displayed through a capacity expansion evaluation report.
In a feasible implementation mode, the human current load rate and the power load rate of each stage of power supply device within 24h are dynamically acquired to draw a 24h time point load rate curve graph, so that the load rate change condition of each stage of power supply device within one day is visually displayed in a visual mode, and the daily load characteristic is deduced.
In this embodiment, according to a preset fourth evaluation duration, determining a daily maximum current load rate, a daily minimum current load rate, a daily average current load rate, a daily maximum power load rate, a daily minimum power load rate, and a daily average power load rate of each stage of power supply device within the preset fourth evaluation duration, and respectively drawing curves to generate a daily load rate curve graph corresponding to each stage of power supply device; through the daily load rate curve chart, the load rate change conditions of the power supply devices at all levels in each season and each time point are visually displayed in a visual mode, so that the load characteristics of any date and any season are obtained by analogy, the power supply devices are evaluated in detail and accurately, the optimal capacity expansion scheme is provided for users, the load requirements of all specialties are met, and the capacity expansion efficiency of the power supply devices is further improved.
Further, the step of generating an expansion estimation report corresponding to the power supply device based on the current load rate and the power load rate further includes:
step S45, determining the current load rate per minute and the power load rate per minute of each power supply device within a preset fifth evaluation duration according to the preset fifth evaluation duration;
step S46, according to a preset load rate interval distribution rule, determining load rate intervals where current load rates per minute and power load rates per minute of each power supply device are located within a preset fifth evaluation time period, and performing time period statistics on each load rate interval to generate a load rate interval distribution map corresponding to each power supply device.
Acquiring and calculating current load rates per minute and power load rates per minute of each stage of power supply device within a preset fifth evaluation duration according to a preset fifth evaluation duration, and determining load rate intervals where the current load rates per minute and the power load rates per minute are located according to a preset load rate interval distribution rule; further carrying out time length statistics on each load rate interval in the fifth evaluation time length to generate a load rate interval distribution graph corresponding to each level of power supply device, and displaying the load rate interval distribution graph through a capacity expansion evaluation report; the load rate interval distribution diagram comprises any power supply device, and the duration and the whole proportion of each load rate interval in the fifth evaluation duration are corresponding.
For example, referring to fig. 5, a load rate interval distribution diagram is shown, and fig. 5 is a load rate interval distribution diagram of a05-15 (device identifier) power supply device in 9 months 2022; wherein the light load accounts for 84.99 percent, and the duration is 110145 min; the normal 1 accounts for 11.84%, and the time duration is 15345 min; the normal 2 accounts for 2.37 percent, and the duration is 3075 min; the heavy load accounts for 0.80 percent, and the time duration is 1035 min; the overload ratio is 0%.
In the embodiment, the current load rate per minute and the power load rate per minute of each power supply device in the preset fifth evaluation time period are determined according to the preset fifth evaluation time period; further, according to a preset load rate interval distribution rule, determining load rate intervals where current load rates per minute and power load rates per minute of each power supply device are located within a preset fifth evaluation time period, and carrying out time period statistics on each load rate interval to generate a load rate interval distribution diagram corresponding to each power supply device; through the load rate interval distribution diagram, the load rate interval distribution condition of each level of power supply device is visually displayed in a visual mode, the power supply device is evaluated in detail and accurately, an optimal capacity expansion scheme is provided for a user, the load requirements of each specialty are met, and the capacity expansion efficiency of the power supply device is further improved.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising a power supply expansion assessment" does not exclude the presence of another like element in a process, method, article, or system that comprises the element.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better embodiment. Based on such understanding, the technical solution of the present application may be substantially or partially embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) as described above and includes instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, or a network device) to execute the method according to the embodiments of the present application.
The above description is only a preferred embodiment of the present application, and not intended to limit the scope of the present application, and all modifications of equivalent structures and equivalent processes, which are made by the contents of the specification and the drawings of the present application, or which are directly or indirectly applied to other related technical fields, are included in the scope of the present application.
Claims (10)
1. A power supply device capacity expansion assessment method is characterized by comprising the following steps:
dynamically acquiring power supply data and device parameters corresponding to each power supply device in a building to be expanded;
generating a topological relation of the power supply devices according to the power supply relation among the power supply devices;
determining a current load rate and a power load rate corresponding to each power supply device according to the topology relation, the power supply data and the device parameters of the power supply devices;
and generating a capacity expansion evaluation report corresponding to the power supply device based on the current load rate and the power load rate.
2. The capacity expansion evaluation method of a power supply device according to claim 1, wherein the step of generating a topological relation of the power supply device according to the power supply relation between the power supply devices includes:
according to a preset classification rule and a power supply relation between the power supply devices, carrying out hierarchy division on the power supply devices to determine device hierarchies corresponding to the power supply devices;
and performing device sorting according to the device hierarchy and the preset sequence corresponding to each power supply device, and connecting each power supply device according to the power supply relationship among the power supply devices to construct the power supply device topological relationship and generate a power supply device topological relationship diagram, wherein each power supply device corresponds to each node in the power supply device topological relationship, and the power supply relationship among the power supply devices corresponds to the connection relationship among the nodes.
3. The power supply device capacity expansion evaluation method according to claim 1, wherein the device parameter includes: the method comprises the following steps of determining a current load rate and a power load rate corresponding to each power supply device according to the topology relation, the power supply data and the device parameters of the power supply devices, wherein the steps comprise:
analyzing the power supply data according to the topological relation of the power supply devices to determine the current and the active electric energy corresponding to each power supply device;
calculating a current imaginary part and a current real part corresponding to each power supply device according to the current and the total power factor corresponding to each power supply device, and determining a current load rate corresponding to each power supply device according to the current imaginary part, the current real part and the rated current;
and determining the power load rate corresponding to each power supply device according to the active electric energy and the rated capacity corresponding to each power supply device.
4. A power supply device capacity expansion evaluation method according to any one of claims 1 to 3, wherein the capacity expansion evaluation report includes a topological graph of load rates of various levels, and the step of generating the capacity expansion evaluation report corresponding to the power supply device based on the current load rate and the power load rate includes:
determining the maximum current load rate and the maximum power load rate of each power supply device within a preset first evaluation duration according to the preset first evaluation duration;
according to a preset load rate interval distribution rule, respectively determining a load rate interval where the maximum current load rate and the maximum power load rate of each power supply device are located within a preset first evaluation duration, and performing data integration according to the power supply device topological relation to generate the load rate topological graph of each level, wherein the load rate topological graph of each level comprises the maximum current load rate and the maximum power load rate of each power supply device within the preset first evaluation duration, and the load rate interval where the maximum current load rate and the maximum power load rate of each power supply device are located within the preset first evaluation duration.
5. A power supply device capacity expansion evaluation method as claimed in any one of claims 1 to 3, wherein the capacity expansion evaluation report includes a load rate time sequence graph, and the step of generating the capacity expansion evaluation report corresponding to the power supply device based on the current load rate and the power load rate further includes:
determining the current load rate and the power load rate of each power supply device corresponding to each preset third interval duration within the preset second evaluation duration according to the preset second evaluation duration and the preset third interval duration, and respectively drawing curves to generate a load rate time sequence chart corresponding to each power supply device;
and the preset second evaluation time length is greater than the preset third interval time length.
6. A power supply device capacity expansion evaluation method as claimed in any one of claims 1 to 3, wherein the capacity expansion evaluation report includes a daily load rate curve, and the step of generating the capacity expansion evaluation report corresponding to the power supply device based on the current load rate and the power load rate further includes:
according to a preset fourth evaluation duration, determining a daily maximum current load rate, a daily minimum current load rate, a daily average current load rate, a daily maximum power load rate, a daily minimum power load rate and a daily average power load rate of each power supply device in the preset fourth evaluation duration, and respectively drawing curves to generate a daily load rate curve corresponding to each power supply device.
7. A power supply device capacity expansion evaluation method as claimed in any one of claims 1 to 3, wherein the capacity expansion evaluation report includes a load rate interval distribution map, and the step of generating the capacity expansion evaluation report corresponding to the power supply device based on the current load rate and the power load rate further includes:
according to a preset fifth evaluation duration, determining the current load rate per minute and the power load rate per minute of each power supply device in the preset fifth evaluation duration;
according to a preset load rate interval distribution rule, determining load rate intervals where current load rates per minute and power load rates per minute of each power supply device are located within a preset fifth evaluation time period, and carrying out time period statistics on each load rate interval to generate a load rate interval distribution diagram corresponding to each power supply device.
8. The power supply device capacity expansion evaluation method according to claim 1, wherein after the step of generating the capacity expansion evaluation report corresponding to the power supply device, the method includes:
when a capacity expansion demand is received, calculating the openable capacity in the capacity expansion evaluation report, and determining a simulation capacity expansion capacity according to the openable capacity and the capacity expansion demand;
and performing simulated expansion according to the simulated expansion capacity to generate a load rate prediction curve, and comparing the load rate prediction curve with a load rate actual curve in the expansion evaluation report to generate a load rate comparison curve graph.
9. A power supply unit capacity expansion evaluation apparatus, characterized in that the apparatus comprises: the power supply device capacity expansion evaluation method comprises a memory, a processor and a power supply device capacity expansion evaluation program which is stored on the memory and can run on the processor, wherein the power supply device capacity expansion evaluation program is configured to realize the steps of the power supply device capacity expansion evaluation method according to any one of claims 1 to 8.
10. A storage medium, wherein a power supply device capacity expansion evaluation program is stored on the storage medium, and when executed by a processor, the power supply device capacity expansion evaluation program implements the steps of the power supply device capacity expansion evaluation method according to any one of claims 1 to 8.
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| CN102722764A (en) * | 2012-05-22 | 2012-10-10 | 合肥恒卓科技有限公司 | Integrated power grid optimization auxiliary decision analysis system |
| CN114624530A (en) * | 2022-03-12 | 2022-06-14 | 云知声智能科技股份有限公司 | Method, device, equipment and medium for determining real-time load rate of transformer |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN102722764A (en) * | 2012-05-22 | 2012-10-10 | 合肥恒卓科技有限公司 | Integrated power grid optimization auxiliary decision analysis system |
| CN114624530A (en) * | 2022-03-12 | 2022-06-14 | 云知声智能科技股份有限公司 | Method, device, equipment and medium for determining real-time load rate of transformer |
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