CN117681716A - Dynamic scheduling system and method for charging piles - Google Patents
Dynamic scheduling system and method for charging piles Download PDFInfo
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- CN117681716A CN117681716A CN202311823698.2A CN202311823698A CN117681716A CN 117681716 A CN117681716 A CN 117681716A CN 202311823698 A CN202311823698 A CN 202311823698A CN 117681716 A CN117681716 A CN 117681716A
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Abstract
The embodiment of the invention provides a dynamic dispatching system and a dynamic dispatching method for charging piles, and belongs to the field of charging piles. The charging pile dynamic scheduling system comprises: the monitoring equipment is used for monitoring the load power in the area to be monitored and the output power of the charging piles distributed in the area to be monitored within a period of time; and the scheduling platform is connected with the monitoring equipment and the charging pile network and is used for adjusting the output power of the charging pile when the load fluctuation is determined according to the load power in a period of time monitored by the monitoring equipment. According to the technical scheme, the monitoring equipment in the dynamic charging pile scheduling system is used for monitoring the load power and the output power of the charging pile, so that the scheduling platform can adjust the output power of the charging pile according to load fluctuation in a period of time, and the charging efficiency is improved.
Description
Technical Field
The invention relates to the technical field of charging piles, in particular to a charging pile dynamic scheduling system and a charging pile dynamic scheduling method.
Background
With the rising of new energy science and technology in recent years, electric vehicles become a common transportation mode when people go out. Because of limited electric quantity of the electric vehicle, people need to charge the electric vehicle by means of the charging pile in the using process of the electric vehicle. However, the conventional charging pile system generally sets a fixed power, is difficult to adapt to the fluctuation of loads at different periods, and has low charging efficiency.
Based on the above, it is highly desirable to provide a dynamic scheduling system for charging piles, which can adapt to the fluctuation of the loads in different periods, so as to solve the above technical problems.
Disclosure of Invention
An object of an embodiment of the present invention is to provide a system and a method for dynamically scheduling charging piles, which are used for solving all or at least part of the technical defects existing in the prior art.
In order to achieve the above object, an embodiment of the present invention provides a dynamic dispatching system for charging piles, including:
the monitoring equipment is used for monitoring the load power in the area to be monitored and the output power of the charging piles distributed in the area to be monitored within a period of time;
and the scheduling platform is connected with the monitoring equipment and the charging pile network and is used for adjusting the output power of the charging pile when the load fluctuation is determined according to the load power in a period of time monitored by the monitoring equipment.
Optionally, the scheduling platform is further configured to:
determining the electricity utilization rule of each load in the area to be monitored, and carrying out situation prediction based on the electricity utilization rule of each load to obtain load prediction power;
and analyzing the electricity utilization trend of each load based on the load predicted power, and setting the target output power range of the charging pile based on the electricity utilization trend of each load.
Optionally, the scheduling platform is further configured to:
if the load power is in the load prediction power range, the charging pile is adjusted to take the maximum value in the target output power range as the actual output power;
and if the load power exceeds the load prediction power range, reducing the actual output power of the charging pile.
Optionally, the scheduling platform is further configured to:
when the power of each load in the area to be monitored is larger than the quick-break power threshold value of the charging pile, the charging pile is disconnected in a way of disconnecting the breaker;
when the power of each load in the area to be monitored is smaller than the lower limit threshold value of the charging pile, the breaker is controlled to automatically close;
the charging pile electricity meter is arranged at the charging pile electricity connection point, and the charging pile electricity meter is provided with a quick-break threshold value.
Optionally, the dispatching platform is further configured to add an output memory function for each charging pile in the area to be monitored, and perform data clearing after each charging is completed.
On the other hand, the invention provides a dynamic scheduling method of the charging pile, which comprises the following steps:
monitoring the output power of each load power in the area to be monitored and the output power of the charging piles distributed in the area to be monitored within a period of time;
and according to the load power in a period of time monitored by the monitoring equipment, determining the output power of the charging pile when the load fluctuates.
In another aspect, the present invention provides an electronic device, including a memory, a processor, and a computer program stored in the memory and capable of running on the processor, where the steps of the dynamic scheduling method for charging piles are implemented when the processor executes the program.
In another aspect, the present invention provides a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the dynamic scheduling method for charging piles described above.
According to the technical scheme, the monitoring equipment in the dynamic charging pile scheduling system is used for monitoring the load power and the output power of the charging pile, so that the scheduling platform can adjust the output power of the charging pile according to load fluctuation in a period of time, and the charging efficiency is improved.
Additional features and advantages of embodiments of the invention will be set forth in the detailed description which follows.
Drawings
The accompanying drawings are included to provide a further understanding of embodiments of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain, without limitation, the embodiments of the invention. In the drawings:
fig. 1 is a schematic structural diagram of a dynamic dispatching system for charging piles according to an embodiment of the present invention;
fig. 2 is a flowchart of an implementation of a dynamic scheduling method for charging piles according to an embodiment of the present invention.
Detailed Description
The following describes the detailed implementation of the embodiments of the present invention with reference to the drawings. It should be understood that the detailed description and specific examples, while indicating and illustrating the invention, are not intended to limit the invention.
Referring to fig. 1, a schematic structural diagram of a dynamic dispatching system for charging piles according to an embodiment of the present invention includes:
the monitoring device 100 is used for monitoring each load power in an area to be monitored and the output power of charging piles distributed in the area to be monitored within a period of time;
it should be appreciated that the monitoring device 100 may be deployed according to a specific application scenario, for example, a highway toll station scenario, a parking lot scenario, where a transformer is added on the high-voltage side of a transformer of the highway toll station for sensing the operation conditions of all loads in the highway toll station in real time, a charging pile electricity meter is added at a charging pile connection point, and connected with the transformer high-voltage side transformer, and a charging pile quick-break threshold is set for overload quick-break safeguard.
And the dispatching platform 101 is connected with the monitoring equipment and the charging pile network and is used for adjusting the output power of the charging pile when the load fluctuation is determined according to the load power in a period of time monitored by the monitoring equipment.
In some embodiments, it is desirable to first deploy a local multi-source dispatch platform, access the charging pile facility, load monitoring equipment, and local workstations by establishing a local area network.
In some embodiments, the scheduling platform 101 is further configured to:
determining the electricity utilization rule of each load in the area to be monitored, and carrying out situation prediction based on the electricity utilization rule of each load to obtain load prediction power;
and analyzing the electricity utilization trend of each load based on the load predicted power, and setting the target output power range of the charging pile based on the electricity utilization trend of each load.
The target output power range in this embodiment is the maximum output power range of the charging pile.
For example, according to the power prediction of the dispatching platform, the power utilization trend of the conventional load is analyzed in advance, and the maximum output power range of the charging pile is set. For example, the load power for 10 minutes in the future is predicted by a predictive model algorithm, and the approximate range of the maximum output power is determined.
In some embodiments, the scheduling platform may further perform setting of a predictive scheduling ladder in advance, for example, it is predicted that the conventional load power is higher than 130kW, and the output power of the charging pile is limited to 0kW; the conventional load power is predicted to be between 100-129kW, the maximum output power of the charging pile is 0-30kW, and so on.
In some embodiments, the scheduling platform 101 is configured to construct a power consumption rule of each load in the area to be monitored, and perform situation prediction based on the power consumption rule of each load by using a pre-constructed prediction model, including:
it should be appreciated that the collection and analysis of historical data using predictive model algorithms includes comprehensive assessment of load fluctuations over different time periods.
In some embodiments, the scheduling platform 101 is further configured to:
if the load power is in the load prediction power range, the charging pile is adjusted to take the maximum value in the target output power range as the actual output power;
and if the load power exceeds the load prediction power range, reducing the actual output power of the charging pile.
In some embodiments, taking the highway toll station charging pile scenario as an example, the regular load is monitored in real time, and the charging pile can operate at a maximum value within the maximum output power range while the regular load power remains within the regular load prediction power range. When the conventional load power exceeds the prediction range, the maximum output power of the charging pile needs to be reduced through real-time scheduling. For example, to ensure that the total load of the transformer is not higher than 160kW, a threshold of 160kW is set, and the stepped limitation of the maximum output power of the charging pile is performed according to the fluctuation of the conventional load.
In some embodiments, the scheduling platform 101 is further configured to:
when the power of each load in the area to be monitored is larger than the quick-break power threshold value of the charging pile, the charging pile is disconnected in a way of disconnecting the breaker;
when the power of each load in the area to be monitored is smaller than the lower limit threshold value of the charging pile, the breaker is controlled to automatically close;
the charging pile electricity meter is arranged at the charging pile electricity connection point, and the charging pile electricity meter is provided with a quick-break threshold value.
For example, taking a highway toll station charging pile scene as an example, setting a quick-break power threshold of a breaker of a charging pile to 175kW, when the total load in the highway toll station is greater than 175kW, forcibly stripping the charging pile by a breaker breaking mode to avoid the influence on the power supply of core equipment, and simultaneously, executing automatic closing on the breaker when the conventional load power is monitored to be lower than 60 kW.
In some embodiments, the dispatching platform 101 is further configured to add an output memory function to each charging pile in the area to be monitored, and perform data clearing after each charging is completed.
In some embodiments, the detailed implementation of the scheduling platform includes:
predictive scheduling policy: and according to the power prediction of the dispatching platform, analyzing the power utilization trend of the conventional load in advance, and setting the maximum output power range of the charging pile.
Scheduling step setting: and carrying out predictive scheduling steps in advance, and setting different output power ranges according to the conventional load power.
Real-time scheduling policy: and monitoring the conventional load power in real time, and adjusting the maximum output power of the charging pile in real time according to load fluctuation.
In the real-time scheduling strategy, when the scheduling frequency is too high, the subsequent actions need to enter a queue for waiting, and only the last scheduling action is stored in the queue.
In some embodiments, in a highway toll station scenario, the construction process of the dynamic scheduling system of the charging pile includes:
1. and (3) mutual inductor deployment:
the transformer is added on the high-voltage side of the transformer of the highway toll station, and the transformer can sense all load running conditions in the station in real time.
2. And (3) meter setting:
and an electricity consumption meter of the charging pile is added at the electricity connection point of each charging pile and is connected with a transformer at the high voltage side of the transformer. Meanwhile, the quick-break threshold value was set to 175kW.
3. Local multisource scheduling platform:
and deploying a local multisource scheduling platform, and building a local area network access charging pile facility, load monitoring equipment and a local workstation.
4. Historical data collection and analysis:
and acquiring and analyzing historical data by using a model algorithm according to a regular load electricity utilization rule in the platform monitoring station. This includes a comprehensive assessment of load fluctuations over different time periods.
5. And (3) intelligent power scheduling of the charging pile:
and monitoring the conventional load power and the charging power of the charging pile in the station in real time, and performing power intelligent scheduling through an artificial intelligent algorithm. And dynamically adjusting the maximum output power of each charging pile according to the historical data and the real-time load condition.
6. Maximum output power memory:
and adding an output power memory function for each charging pile. And setting the maximum output power according to the vehicle request power, and clearing data after each charging is finished.
7. Overload quick-break safeguard measures:
the quick-break power threshold of the charging pile breaker is set to 175kW. When the total load in the station is greater than 175kW, the charging pile is forcibly stripped in a breaker breaking mode, so that the power supply of core equipment is prevented from being influenced. Meanwhile, when the conventional load power is monitored to be lower than 60kW, the automatic closing is performed on the circuit breaker.
8. Dynamic adjustment strategy:
8.1 predictive scheduling policy:
and according to the platform power prediction, analyzing the electricity utilization trend of the conventional load in advance, and setting the maximum output power range of the charging pile. For example, the load power for the next 10 minutes is predicted by a model algorithm, and the approximate range of the maximum output power is determined.
8.2 scheduling ladder setting:
and carrying out predictive scheduling ladder in advance. For example, it is predicted that the regular load power is higher than 130kW, and the charging pile limit output power is 0; the maximum output power of the charging pile is predicted to be 0-30kW when the conventional load power is between 100 and 129, and so on.
8.3 real-time scheduling policy:
and monitoring the conventional load in the station in real time, and operating at the maximum value in the maximum output power range when the conventional load power is kept in the conventional load prediction power range. When the conventional load power exceeds the prediction range, the maximum output power of the charging pile needs to be reduced through real-time scheduling. For example, to ensure that the total load of the transformer is not higher than 160kW, a threshold of 160kW is set, and the stepped limitation of the maximum output power of the charging pile is performed according to the fluctuation of the conventional load.
The monitoring equipment in the dynamic charging pile scheduling system monitors the load power and the output power of the charging pile, so that the scheduling platform can adjust the output power of the charging pile according to load fluctuation in a period of time, and the charging efficiency is improved.
Referring to fig. 2, a flowchart of an implementation of a dynamic scheduling method for charging piles according to an embodiment of the present invention specifically includes the following implementation steps:
step 200: monitoring the output power of each load power in the area to be monitored and the output power of the charging piles distributed in the area to be monitored within a period of time;
step 201: and according to the load power in a period of time monitored by the monitoring equipment, determining the output power of the charging pile when the load fluctuates.
Under the scene of the charging pile of the expressway toll station, the dynamic scheduling method of the charging pile comprises the following steps:
a transformer is added on the high-voltage side of the transformer and is used for sensing all load running conditions in the station in real time; adding a charging pile electricity consumption meter at a charging pile connection point, connecting with a transformer on the high-voltage side, and setting a quick-break threshold; a local multisource scheduling platform is deployed, and a local area network is established to access charging pile facilities, load monitoring equipment and a local workstation; and collecting and analyzing historical data in a dispatching platform, intelligently dispatching the power of the charging pile, and executing a maximum output power memory function.
In another aspect, the present invention provides an electronic device, including a memory, a processor, and a computer program stored in the memory and capable of running on the processor, where the steps of the dynamic scheduling method for charging piles are implemented when the processor executes the program.
In another aspect, the present invention provides a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the dynamic scheduling method for charging piles described above.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In one typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include volatile memory in a computer-readable medium, random Access Memory (RAM) and/or nonvolatile memory, etc., such as Read Only Memory (ROM) or flash RAM. Memory is an example of a computer-readable medium.
Computer readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of storage media for a computer include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium, which can be used to store information that can be accessed by a computing device. Computer-readable media, as defined herein, does not include transitory computer-readable media (transmission media), such as modulated data signals and carrier waves.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus 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 apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article or apparatus that comprises an element.
The foregoing is merely exemplary of the present application and is not intended to limit the present application. Various modifications and changes may be made to the present application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc. which are within the spirit and principles of the present application are intended to be included within the scope of the claims of the present application.
Claims (8)
1. A dynamic scheduling system for charging piles, comprising:
the monitoring equipment is used for monitoring the load power in the area to be monitored and the output power of the charging piles distributed in the area to be monitored within a period of time;
and the scheduling platform is connected with the monitoring equipment and the charging pile network and is used for adjusting the output power of the charging pile when the load fluctuation is determined according to the load power in a period of time monitored by the monitoring equipment.
2. The dynamic scheduling system of charging piles of claim 1, wherein the scheduling platform is further configured to:
determining the electricity utilization rule of each load in the area to be monitored, and carrying out situation prediction based on the electricity utilization rule of each load to obtain load prediction power;
and analyzing the electricity utilization trend of each load based on the load predicted power, and setting the target output power range of the charging pile based on the electricity utilization trend of each load.
3. The dynamic scheduling system of charging piles of claim 2, wherein the scheduling platform is further configured to:
if the load power is in the load prediction power range, the charging pile is adjusted to take the maximum value in the target output power range as the actual output power;
and if the load power exceeds the load prediction power range, reducing the actual output power of the charging pile.
4. The dynamic scheduling system of charging piles of claim 1, wherein the scheduling platform is further configured to:
when the power of each load in the area to be monitored is larger than the quick-break power threshold value of the charging pile, the charging pile is disconnected in a way of disconnecting the breaker;
when the power of each load in the area to be monitored is smaller than the lower limit threshold value of the charging pile, the breaker is controlled to automatically close;
the charging pile electricity meter is arranged at the charging pile electricity connection point, and the charging pile electricity meter is provided with a quick-break threshold value.
5. The dynamic dispatching system of charging piles according to claim 1, wherein the dispatching platform is further configured to add an output memory function to each charging pile in the area to be monitored, and to perform data clearing after each charging is completed.
6. The dynamic scheduling method for the charging pile is characterized by comprising the following steps of:
monitoring the output power of each load power in the area to be monitored and the output power of the charging piles distributed in the area to be monitored within a period of time;
and according to the measured load power in a period of time, determining the output power of the charging pile when the load fluctuates.
7. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of the dynamic scheduling method of charging piles of claim 6 when the program is executed by the processor.
8. A non-transitory computer readable storage medium having stored thereon a computer program, characterized in that the computer program when executed by a processor implements the steps of the dynamic scheduling method of charging piles according to claim 6.
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| CN202311823698.2A CN117681716A (en) | 2023-12-27 | 2023-12-27 | Dynamic scheduling system and method for charging piles |
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| CN202311823698.2A CN117681716A (en) | 2023-12-27 | 2023-12-27 | Dynamic scheduling system and method for charging piles |
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