Power consumption prediction method and system for national railway station, and electronic equipment

Abstract

The invention relates to an electric power consumption prediction method and system of a national railway station and electronic equipment, and the method comprises the following steps: after a train enters a station area, ATO equipment calculates the kinetic energy change of the train according to an obtained speed mileage change curve, and further calculates the energy required by the kinetic energy change of the train in the jurisdiction range of the station; and the temporary speed limit server receives the energy required by kinetic energy change of each train in the jurisdiction range, calculates the total energy required by the kinetic energy change of all the trains and the average time of each train passing through the jurisdiction range in the set interval time, and obtains the average power of the energy required in the set interval time, i.e., an electric energy consumption prediction result. Compared with the prior art, the method has the advantages of accurately predicting the power consumption demand of the station, optimally configuring power grid resources, being low in cost and the like.

Description

Technical Field

[0001] The present invention relates to the technical field of power energy consumption prediction for railway stations, and in particular to a method, system and electronic equipment for predicting power energy consumption for national railway stations. Background Art

[0002] In the context of the increasingly busy national railway system, the national railway station dispatching system plays a vital role. It is not only the central nervous system to ensure the safe and efficient operation of trains, but also the key to realizing the modernization and intelligence of railway transportation. Especially in the train dispatching business based on electric power drive, the challenges faced by this system are particularly complex and critical. Electric trains are gradually becoming the mainstream trend of railway transportation with their environmental protection and high efficiency. However, this also puts higher requirements on the power grid system of the station.

[0003] Although the station's signal system is highly automated and intelligent, and can accurately control the receiving and dispatching operations of each track to ensure that the trains run smoothly according to the scheduled schedule, the capacity limitation of the power grid system has become a major bottleneck restricting the efficiency of electric train dispatching. The capacity of the power grid system directly determines how many electric trains the station can support at the same time. Once this threshold is exceeded, it may cause the power grid to overload, resulting in unstable power supply or even power outages. Therefore, how to maximize the use of power grid capacity while ensuring driving safety has become a major problem that the station dispatching system must face.

[0004] An obvious solution is to distribute electricity according to the maximum full power of the grid to ensure that the grid will not be overloaded under any circumstances. However, although this approach seems safe, it has a huge problem of wasting electricity. During the peak hours of train operation, the grid does need to operate at close to full capacity to meet the electricity needs of a large number of trains, but during the off-peak hours, if the grid is supplied at full power, it will not only cause a huge waste of electricity, but also increase the operating cost and maintenance difficulty of the grid.

[0005] Therefore, finding a dispatching method that can fully utilize the power grid capacity and avoid energy waste has become a key issue that the national railway station dispatching system urgently needs to solve.

[0006] How to accurately predict the electricity consumption of national railway stations has become a technical problem that needs to be solved. Summary of the invention

[0007] The purpose of the present invention is to overcome the defects of the above-mentioned prior art and to provide a method, system and electronic equipment for predicting power consumption of a national railway station.

[0008] The purpose of the present invention can be achieved by the following technical solutions:

[0009] According to one aspect of the present invention, a method for predicting the power consumption of a national railway station is provided. The method includes the following steps:

[0010] After the train enters the station area, the ATO device calculates the kinetic energy change of the train according to the obtained speed and mileage change curve, and then calculates the energy required for the kinetic energy change of the train within the jurisdiction of the station.

[0011] The temporary speed limit server receives the energy required for the kinetic energy change of each train within its jurisdiction, and calculates the total energy E required for the kinetic energy change of all trains 车站 , and the average time T for each train to pass through the jurisdiction within the set time interval 平均 , and obtains the average power of the energy required within the set time interval, that is, the power consumption prediction result.

[0012] Preferably, the process of calculating the energy required for the kinetic energy change of the train within the jurisdiction of the station includes:

[0013] Step 1: After the train enters the station area, the ATO device plans the speed and mileage change curves of the current operating area and the future driving area in the train plan according to the obtained train operation range.

[0014] Step 2: The ATO device calculates the kinetic energy change of the train according to the speed and mileage change curve.

[0015] Step 3: The ATO device delimits the range of kinetic energy change according to the jurisdiction of the station, and calculates the energy required for the speed change of the train within the jurisdiction of the station, where the speed change includes acceleration and braking.

[0016] Preferably, the calculation of the kinetic energy change of the train is specifically:

[0017]

[0018] where E 列车 is the kinetic energy change of the train, M 列车 is the mass of the train, V 1 , V 2 , …… V n respectively represent different operating speeds of the train, and N is the number of changes in the train operating speed.

[0019] Preferably, the temporary speed limit server collects the energy required for the kinetic energy change of the train from all train ATO devices within its jurisdiction, obtains the total energy required for the kinetic energy change of all trains, and then screens the energy within the scope according to the jurisdiction of the station to obtain the total energy within the jurisdiction of the station.

[0020] Preferably, the calculation of the average time for each train to pass through the jurisdiction within the set interval is specifically as follows:

[0021]

[0022] where M is the number of trains within the jurisdiction of the station, and T 车M-通过时间 is the time for the Mth train to pass through the jurisdiction of the station.

[0023] Preferably, the calculation of the average power of the required energy within the set interval is specifically as follows:

[0024]

[0025] where P 平均 is the average power of the required energy, E 总 is the total energy within the jurisdiction of the station, and T 平均 is the average time for each train to pass through the jurisdiction.

[0026] Preferably, the method further includes: the temporary speed limit server sends the power consumption prediction result to the SCADA system, and the SCADA system adjusts the power supply power of the power grid in real time.

[0027] According to another aspect of the present invention, a power consumption prediction system for a national railway station is provided. The system includes ATO equipment and a temporary speed limit server. The ATO equipment is deployed on the vehicle and is used to calculate the energy required for the speed change of the train within the jurisdiction of the station;

[0028] The temporary speed limit server collects the energy required for the kinetic energy change of all trains within the jurisdiction within the jurisdiction of the station, sums them up to obtain the total energy required within the jurisdiction of the station, and divides the total energy by the average time for each train to pass through the jurisdiction within the set interval to obtain the average power of the required energy within this interval, that is, the power consumption prediction result.

[0029] Preferably, the process of calculating the energy required for the speed change of the train within the jurisdiction of the station includes:

[0030] When the train enters the station area, the ATO equipment plans the speed - mileage change curve of the current operation area and the future driving area in the train plan according to the obtained train operation range;

[0031] The ATO equipment calculates the kinetic energy change of the train according to the speed - mileage change curve;

[0032] The ATO equipment delimits the range of kinetic energy change according to the jurisdiction area of the station, and calculates the energy required for the speed change of the train within the jurisdiction of the station, where the speed change includes acceleration and braking.

[0033] Preferably, the temporary speed limit server collects the energy required for the kinetic energy change of all trains from the ATO devices of all trains within its jurisdiction, obtains the total energy required for the kinetic energy change of all trains, and then screens the energy within the range according to the scope under the jurisdiction of the station to obtain the total energy within the jurisdiction of the station.

[0034] Preferably, the temporary speed limit server sends the power consumption prediction result to the SCADA system, and the SCADA system adjusts the power supply power of the power grid in real time.

[0035] Preferably, the temporary speed limit server is deployed on the ground and communicates with the ATO device through a vehicle-ground wireless communication network.

[0036] According to the third aspect of the present invention, there is provided an electronic device, including a memory and a processor, where a computer program is stored on the memory, and when the processor executes the program, the method described above is implemented.

[0037] According to the fourth aspect of the present invention, there is provided a computer-readable storage medium, on which a computer program is stored, and when the program is executed by a processor, the method described above is implemented.

[0038] Compared with the prior art, the present invention has the following beneficial effects:

[0039] 1) The present invention utilizes the existing ATO devices and temporary speed limit servers. The ATO device calculates the energy required for the kinetic energy change of the train within the jurisdiction of the station based on the operation range and the speed-mileage change curve, and sends it to the temporary speed limit server; the temporary speed limit server accumulates the energy of all trains within the jurisdiction of the station, calculates the average time for each train to pass through the jurisdiction within the set interval time, and finally obtains the average power of the energy required within this interval time, that is, the power consumption prediction result at the station level. Since the operation range and speed-mileage change curve of the train are obtained and planned in real time by the ATO device, it can more accurately reflect the power consumption demand of the station.

[0040] 2) The temporary speed limit server sends the power consumption prediction result to the SCADA system, and the SCADA system adjusts the power supply power of the power grid at the station level in real time to ensure sufficient power support during the peak train operation period, while reducing unnecessary power waste during the low valley period. This helps to optimize the allocation of power resources at the station level, improve the operation efficiency and stability of the power grid. At the same time, adjusting the power supply of the power grid as needed without full-capacity power distribution can effectively save energy consumption and enhance environmental protection.

[0041] 3) Through the power consumption prediction method of the present invention, the station dispatching system can understand the energy consumption requirements of trains in advance, thereby arranging the train operation plan more reasonably, which helps to reduce the waiting time of trains and improve the operation efficiency, and further enhances the transportation capacity of the entire railway system.

[0042] 4) The present invention utilizes the existing train control system to realize power consumption prediction and regulation, without the need to newly add additional hardware devices, with low equipment costs, meeting the requirements of enterprises for cost reduction and efficiency improvement.

[0043] 5) The power consumption prediction system of the present invention is safe and reliable: relying on the high reliability and high safety characteristics of the train control system, the predicted power consumption can effectively ensure the safe and reliable operation of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 is a schematic structural diagram of the power consumption prediction system in the present invention;

[0045] Figure 2 is a schematic principle diagram of the power consumption prediction in the present invention;

[0046] Figure 3 is a schematic flow diagram of the power consumption prediction method in the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0047] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0048] In order to make full use of the grid capacity and avoid waste of electric energy, the present invention application is precisely designed for this problem, and adjusts the power supply power in real time according to the station power consumption prediction information to meet the power consumption requirements of trains.

[0049] Embodiment 1

[0050] This embodiment relates to a power consumption prediction method for a national railway station, which realizes accurate grasp of the energy consumption of trains in the station area by introducing advanced energy consumption estimation and prediction algorithms. It first collects the operation data of trains, including key parameters such as train type, load, driving speed, acceleration, etc., and then uses these parameters and advanced mathematical models to estimate and predict the energy consumption of trains in real time.

[0051] After obtaining accurate energy consumption prediction information, this information is forwarded to the power SCADA system of the station in real time. As the "brain" of the station power system, the SCADA system can intelligently adjust the power supply network according to this information. During the peak hours of train operation, the SCADA system will appropriately increase the power supply to meet the power consumption needs of the trains; while during the off-peak hours, it will appropriately reduce the power supply to reduce power waste. This real-time adjustment method not only improves the operation efficiency of the power grid, but also significantly reduces the operation cost and maintenance difficulty of the power grid.

[0052] Such as Figure 3 and Figure 2 , the method includes the following steps:

[0053] Step S1, when the train enters the station area, the ATO device can obtain the running range of the train through the temporary speed limit server, and then plan the speed and mileage change curves of the current running area and the future driving area;

[0054] Step S2, the ATO device calculates the kinetic energy change of the train according to the speed change at different mileages;

[0055]

[0056] Where M 列车 is the mass of the train, V 1 , V 2 , …… V n represent the different running speeds of the train respectively, and N is the number of changes in the running speed of the train.

[0057] Step S3, delimit the range of kinetic energy change according to the jurisdiction area of the station, and calculate the energy required for the train to accelerate and the energy required for braking within the jurisdiction area of the station.

[0058]

[0059] Where N is the number of changes in the running speed of the train.

[0060] Step S4, the temporary speed limit server collects the energy required by all vehicles within the jurisdiction area, obtains the total energy required by all vehicles, and then screens the energy within the scope according to the jurisdiction area of the station, so as to obtain the total energy E 车站 .

[0061]

[0062] E 列车m is the energy required for the kinetic energy change of the mth train within the jurisdiction area of the station, and M is the number of trains within the jurisdiction area of the station.

[0063] Step S5, the temporary speed limit server calculates the average time T for each train to pass through the jurisdiction within a certain interval time. 平均 .

[0064]

[0065] Where M is the number of trains within the jurisdiction of the station, and T 车M-通过时间 is the time for the Mth train to pass through the jurisdiction of the station.

[0066] Step S6, according to the total energy and the average time for the train to pass through the jurisdiction, calculate the average power of the required energy within this interval time, that is, the prediction result of the power consumption.

[0067]

[0068] The temporary speed limit server sends the prediction period and the average power P 平均 to the SCADA system, and the SCADA system adjusts the power supply of the power grid in real time.

[0069] Embodiment 2

[0070] This embodiment also relates to a power consumption prediction system for national railway stations, such as Figure 1 , including the ATO device deployed on the vehicle and the temporary speed limit server deployed on the ground.

[0071] Use the existing ATO device to calculate the running kinetic energy of each train, and its working principle is as follows:

[0072] (1) When the ATO device of the train enters the station area, the temporary speed limit server can know the running range of the train, and then plan the speed and mileage change curves of the current running area and the future driving area.

[0073] Among them, the future driving area is the area where the train will drive next in the train plan, specifically:

[0074] For freight trains, the future driving area refers to the area from the current position to the next destination according to the transportation line plan;

[0075] For passenger trains, the future driving area refers to the area from the current position to the next station or the next Oth station in the operation plan, where O is greater than 1.

[0076] (2) Calculate the change in the kinetic energy of the train according to the change in speed at different mileage:

[0077]

[0078] Among them, M 列车 is the mass of the train, V 1 , V2 , …… V n respectively represent different running speeds of the train.

[0079] As Figure 2 shown, before the train enters the station, the curve ahead is planned. In the ATO planning algorithm, it is considered that the train has a large mass and large inertia, and the acceleration of the whole train is very small. Therefore, it is assumed that within a relatively small step length, the train moves at a constant speed, and the change in speed occurs between step lengths. It can be seen from the figure that the train planning algorithm describes the speed section of the train entering the station. Then, the change in kinetic energy can be calculated based on the change in speed:

[0080]

[0081] where N is the number of changes in the running speed of the train.

[0082] (3) Define the range of kinetic energy change according to the jurisdiction area of the station, and calculate the energy required for the train to accelerate and the energy required for braking within the jurisdiction area of the station.

[0083] The temporary speed limit server collects the energy required by all trains within the jurisdiction area, obtains the total energy required by all trains, and then filters the energy within the range according to the jurisdiction area of the station, so as to obtain the total energy within the jurisdiction area of the station:

[0084]

[0085] Calculate the average time for each train to pass through the jurisdiction area within a certain interval:

[0086]

[0087] After calculating the total energy and the average time for the train to pass through the jurisdiction area within this interval, the average power of the required energy within this interval can be calculated.

[0088]

[0089] The temporary speed limit server sends the average power P 平均 to the SCADA system for adjusting the power supply of the power grid. Specifically, when the SCADA system receives the predicted time period sent by the temporary speed limit server and the predicted energy consumption within the jurisdiction area of the station, the SCADA system will adjust the power supply of the power grid in real time.

[0090] The temporary speed limit server collects the kinetic energy information of all vehicles within its jurisdiction through vehicle-ground wireless communication (the wireless communication can be defined with reference to the existing high-speed rail ATO specification), and then sends it to the SCADA system via network cable. Finally, the SCADA system adjusts the grid power. In addition, SCADA needs to ensure the normal operation of the system through bilateral communication with the temporary speed limit server and should give an alarm in time if any abnormality occurs.

[0091] Embodiment 3

[0092] The electronic device of the present invention includes a central processing unit (CPU), which can perform various appropriate actions and processes according to computer program instructions stored in a read-only memory (ROM) or computer program instructions loaded from a storage unit into a random access memory (RAM). In the RAM, various programs and data required for device operation can also be stored. The CPU, ROM, and RAM are connected to each other via a bus. An input / output (I / O) interface is also connected to the bus.

[0093] Multiple components in the device are connected to the I / O interface, including: an input unit, such as a keyboard, a mouse, etc.; an output unit, such as various types of displays, speakers, etc.; a storage unit, such as a disk, an optical disc, etc.; and a communication unit, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit allows the device to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0094] The processing unit executes the various methods and processes described above. For example, in some embodiments, the method can be implemented as a computer software program, which is tangibly contained in a machine-readable medium, such as a storage unit. In some embodiments, part or all of the computer program can be loaded and / or installed onto the device via the ROM and / or the communication unit. When the computer program is loaded into the RAM and executed by the CPU, one or more steps of the method described above can be executed. Alternatively, in other embodiments, the CPU can be configured to execute the method by any other suitable means (e.g., by means of firmware).

[0095] The functions described above herein can be performed at least in part by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that can be used include: field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on a chip (SOCs), complex programmable logic devices (CPLDs), and so on.

[0096] The program code for implementing the method of the present invention can be written in any combination of one or more programming languages. These program codes can be provided to a processor or controller of a general-purpose computer, a special-purpose computer, or other programmable data processing devices, such that when the program codes are executed by the processor or controller, the functions / operations specified in the flowchart and / or block diagram are implemented. The program codes can be executed entirely on the machine, partially on the machine, executed partially on the machine as an independent software package and partially on a remote machine, or executed entirely on a remote machine or server.

[0097] In the context of the present invention, a machine-readable medium can be a tangible medium that can contain or store a program for use by or in connection with an instruction execution system, apparatus, or device. A machine-readable medium can be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium can include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0098] As described above, only the specific embodiments of the present invention are provided, but the protection scope of the present invention is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present invention can easily conceive of various equivalent modifications or substitutions, and these modifications or substitutions should all be covered within the protection scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims

1. A method for predicting power consumption of a national railway station, characterized in that: The method comprises the following steps: When the train enters the station area, the ATO equipment calculates the train's kinetic energy change based on the acquired speed-mileage change curve, and then calculates the energy required for the train's kinetic energy change within the station's jurisdiction; The temporary speed limit server receives the energy required for the kinetic energy change of each train within its jurisdiction and calculates the total energy E required for the kinetic energy change of all trains 车站 , and the average time T of each train passing through the jurisdiction within the set interval 平均 , and obtain the average power of the energy required within the set interval, that is, the power consumption prediction result.

2. The method for predicting power consumption of a national railway station according to claim 1, characterized in that: The process of calculating the energy required for the train's kinetic energy change within the station's jurisdiction includes: Step 1: When the train enters the station area, the ATO equipment plans the speed-mileage change curve of the current operating area and the future travel area in the train plan according to the acquired train operating range; Step 2: The ATO equipment calculates the kinetic energy change of the train based on the speed-mileage change curve; Step 3: The ATO equipment defines the range of kinetic energy change according to the jurisdiction of the station, and calculates the energy required for the speed change of the train within the jurisdiction of the station, where the speed change includes acceleration and braking.

3. The method for predicting power consumption of a national railway station according to claim 1, characterized in that: The calculation of the kinetic energy change of the train is specifically as follows: Where E 列车 is the kinetic energy change of the train, M 列车 is the mass of the train, V1, V2, ... V n They represent different running speeds of the train respectively, and N is the number of times the running speed of the train changes.

4. The method for predicting power consumption of a national railway station according to claim 1, characterized in that: The temporary speed limit server collects the energy required for train kinetic energy changes from all train ATO devices within its jurisdiction, obtains the sum of the energy required for all train kinetic energy changes, and then screens the energy within the scope according to the scope under the jurisdiction of the station to obtain the total energy within the jurisdiction of the station.

5. The method for predicting power consumption of a national railway station according to claim 1, characterized in that: The calculation of the average time for each train to pass through the jurisdiction within the set interval is specifically as follows: Where M is the number of trains within the station’s jurisdiction, T 车M-通过时间 The time when the Mth train passes through the station's jurisdiction.

6. The method for predicting power consumption of a national railway station according to claim 1, characterized in that: The calculation of the average power of the energy required within the set interval is specifically as follows: Where P 平均 is the average power of the required energy, E 总 is the total energy within the station’s jurisdiction, T 平均 It is the average time for each train to pass through the jurisdiction.

7. The method for predicting power consumption of a national railway station according to claim 1, characterized in that: The method also includes: the temporary speed limit server sends the power consumption prediction result to the SCADA system, and the SCADA system adjusts the power supply power of the power grid in real time.

8. A system using the method for predicting power consumption of a national railway station according to any one of claims 1 to 7, the system comprising an ATO device and a temporary speed limit server, characterized in that: The ATO device is deployed on board the vehicle and is used to calculate the energy required for the train to change its speed within the jurisdiction of the station; The temporary speed limit server collects the energy required for the kinetic energy change of all trains within the jurisdiction of the station, and sums them up to obtain the total energy required within the jurisdiction of the station. The total energy is divided by the average time for each train to pass through the jurisdiction within the set interval to obtain the average power of the energy required within the interval, that is, the power consumption prediction result.

9. The system according to claim 8, characterized in that The process of calculating the energy required for the train to change its speed within the jurisdiction of the station includes: When the train enters the station area, the ATO equipment plans the speed-mileage change curve of the current operating area and the future travel area in the train plan based on the acquired train operating range; The ATO equipment calculates the kinetic energy change of the train based on the speed-mileage change curve; The ATO equipment defines the range of kinetic energy changes based on the station's jurisdiction and calculates the energy required for the train's speed changes within the station's jurisdiction, where speed changes include acceleration and braking.

10. The system according to claim 8, characterized in that The temporary speed limit server collects the energy required for train kinetic energy changes from all train ATO devices within its jurisdiction, obtains the sum of the energy required for all train kinetic energy changes, and then screens the energy within the scope according to the scope under the jurisdiction of the station to obtain the total energy within the jurisdiction of the station.

11. The system according to claim 8, characterized in that The temporary speed limit server sends the power consumption prediction result to the SCADA system, and the SCADA system adjusts the power supply of the power grid in real time.

12. The system according to claim 8, characterized in that The temporary speed limit server is deployed on the ground and is connected to the ATO device through a vehicle-ground wireless communication network.

13. An electronic device comprising a memory and a processor, wherein a computer program is stored in the memory, wherein: When the processor executes the program, the method according to any one of claims 1 to 7 is implemented.

14. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the method according to any one of claims 1 to 7 is implemented.

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