CN108508770B - Energy optimization system and method for rail transit station - Google Patents
Energy optimization system and method for rail transit station Download PDFInfo
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- CN108508770B CN108508770B CN201810350324.6A CN201810350324A CN108508770B CN 108508770 B CN108508770 B CN 108508770B CN 201810350324 A CN201810350324 A CN 201810350324A CN 108508770 B CN108508770 B CN 108508770B
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- 238000005457 optimization Methods 0.000 title claims abstract description 58
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- 238000003745 diagnosis Methods 0.000 claims description 47
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- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
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Abstract
An energy optimization system and method for a rail transit station are used for realizing the optimization of electric energy of at least one rail transit station, and comprise the following steps: the acquisition equipment acquires the electricity utilization data of the rail transit station and uploads the electricity utilization data to the station end server, and the station end server sends the acquired electricity utilization data to the section electric energy controller for managing the rail transit station, so that the section electric energy controller realizes electric energy optimization of the rail transit station managed by the section electric energy controller. By implementing the embodiment of the invention, the energy optimization in rail transit can be realized, and the energy utilization rate is improved.
Description
Technical Field
The invention relates to the technical field of rail transit, in particular to an energy optimization system and method for a rail transit station.
Background
In order to relieve traffic pressure and facilitate the traveling of residents, rail transit in various large cities in China develops rapidly, and the rapidly developing rail transit is at the cost of huge energy consumption, for example, the electricity consumption of electric equipment (illuminating lamps, elevators, air conditioners, security inspection equipment and the like) of trains and rail transit stations in the rail transit. Under the advocation of energy conservation and emission reduction in China, how to optimize energy in rail transit and improve the utilization rate of the energy becomes a problem which needs to be solved urgently.
Disclosure of Invention
The embodiment of the invention discloses an energy optimization system and method for a rail transit station, which can realize energy optimization in rail transit and improve the energy utilization rate.
The embodiment of the invention discloses an energy optimization system of a rail transit station in a first aspect, which is used for realizing the electric energy optimization of at least one rail transit station and is characterized by comprising the following components: the system comprises acquisition equipment installed at each rail transit station, a station end server and a section electric energy controller for managing electric energy of each section, wherein each section comprises at least one rail transit station, and the system comprises:
the acquisition equipment is used for acquiring the electricity utilization data of the electricity utilization equipment or the electricity utilization loop of each rail transit station and sending the electricity utilization data to the station end server;
the station-side server is used for acquiring and storing the electricity utilization data from the acquisition equipment and sending the electricity utilization data to the section electric energy controller;
the section electric energy controller is used for optimizing the electric energy of at least one rail transit station according to the electricity utilization data of each rail transit station in the at least one rail transit station managed by the section electric energy controller.
As an optional implementation manner, in the first aspect of the embodiment of the present invention, the manner in which the collection device is used to collect power consumption data of the power consumption device or the power consumption loop at each track transportation station, and send the power consumption data to the station-side server is specifically:
the acquisition equipment is used for acquiring the electricity utilization data of the electricity utilization equipment or the electricity utilization loop connected with the acquisition equipment in each rail transit station, randomly selecting a target frequency band from unauthorized frequency bands, and sending the electricity utilization data to the station end server through the target frequency band.
As an optional implementation manner, in the first aspect of the embodiment of the present invention, the electricity consumption data at least includes regenerative braking electric energy of a braking train in the at least one track transportation station and electricity consumption electric energy of an electricity-using device, and the section electric energy controller is configured to optimize the electric energy of the at least one track transportation station according to the electricity consumption data of each track transportation station in the at least one track transportation station managed by the section electric energy controller in a manner that:
the section electric energy controller is used for optimizing train regenerative braking electric energy and electric energy of electric equipment according to the electric data of each of at least one rail transit station managed by the section electric energy controller.
As an optional implementation manner, in the first aspect of the embodiment of the present invention, the section electric energy controller is configured to optimize regenerative braking electric energy of the train in at least one track transportation station according to the electricity data of each track transportation station of the at least one track transportation station managed by the section electric energy controller, specifically:
the section electric energy controller is used for counting the regenerated braking electric energy of the train in at least one rail transit station according to the electric power utilization data of each rail transit station in the at least one rail transit station managed by the section electric energy controller, and searching the traction electric energy consumption when other trains except the braking train operate in the at least one rail transit station, and the traction power consumption of the trains in the at least one rail transit station except the braking train during operation is superposed to obtain the total traction power consumption, and distributing surplus electric energy to other trains except for the braking train in the at least one rail transit station when the regenerative braking electric energy of the train in the at least one rail transit station is larger than the total traction electric energy consumption, and the surplus electric energy is the difference value between the regenerative braking electric energy of the train in the at least one rail transit station and the total traction power consumption electric energy.
As an optional implementation manner, in the first aspect of the embodiment of the present invention, the manner that the section electric energy controller is configured to distribute the surplus electric energy to the trains inside the at least one rail transit station except for the braking train is specifically:
the section electric energy controller is used for distributing surplus electric energy to other trains except for the braking train in the at least one rail transit station according to a preset rule so as to improve the running speed of the other trains except for the braking train in a certain fixed time period, prolong the coasting duration of the other trains except for the braking train and record the coasting duration of the other trains except for the braking train; the preset rule is used for indicating the occupation ratio of each train in the trains except for the braking train to the surplus electric energy.
As an optional implementation manner, in the first aspect of the embodiment of the present invention, the district power controller stores therein device information of each power consumption device in the at least one track transportation station, where the device information at least includes a station number of a track transportation station to which the power consumption device belongs and a device number in the track transportation station to which the power consumption device belongs, and the way for the district power controller to optimize power consumption of the power consumption device in the at least one track transportation station according to the power consumption data of each track transportation station in the at least one track transportation station managed by the district power controller is specifically:
the section electric energy controller is used for identifying whether abnormal electric equipment exists in the electric equipment in at least one rail transit station according to the electric data of each rail transit station in at least one rail transit station managed by the section electric energy controller, and the actual electric consumption of the abnormal electric equipment in at least one rail transit station is larger than the preset electric consumption; and determining a target pre-diagnosis scheme of the abnormal electric equipment in the at least one rail transit station from a plurality of pre-stored pre-diagnosis schemes according to the actual electric quantity of the abnormal electric equipment in the at least one rail transit station and outputting the target pre-diagnosis scheme for a user to check.
As an optional implementation manner, in the first aspect of the embodiment of the present invention, the energy optimization system further includes:
and the central management server is used for acquiring the equipment information and the target pre-diagnosis scheme of the abnormal electric equipment in the at least one rail transit station managed by the at least one section electric energy controller, and acquiring the coasting duration of other trains except the braking train in the at least one rail transit station.
As an optional implementation manner, in the first aspect of the embodiment of the present invention, the central management server is further configured to record an adoption rate of a target prediction scheme for abnormal electric equipment at the at least one rail transit station managed by each of the district electric energy controllers, receive a diagnosis scheme input by a user for the abnormal electric equipment at the at least one rail transit station managed by each of the district electric energy controllers, and send the diagnosis scheme for the abnormal electric equipment at the at least one rail transit station managed by each of the district electric energy controllers to the corresponding district electric energy controller.
As an optional implementation manner, in the first aspect of the embodiment of the present invention, the district power controller is further configured to receive the diagnosis scheme of the abnormal power consumption device in the at least one rail transit station, sent by the central management server, and update and optimize the target prediction scheme of the abnormal power consumption device in the at least one rail transit station according to the received diagnosis scheme of the abnormal power consumption device in the at least one rail transit station.
The second aspect of the embodiment of the invention discloses an energy optimization method for a rail transit station, which is applied to the energy optimization system for the rail transit station disclosed in the first aspect of the embodiment of the invention, wherein the energy optimization system is used for realizing the optimization of electric energy of at least one rail transit station, and the method comprises the following steps:
the method comprises the steps that collection equipment collects power utilization data of power utilization equipment or power utilization loops of each rail transit station and sends the power utilization data to a station end server;
the station end server acquires and stores the electricity utilization data from the acquisition equipment, and sends the electricity utilization data to the section electric energy controller;
the section electric energy controller optimizes the electric energy of at least one rail transit station according to the electricity utilization data of each rail transit station in the at least one rail transit station managed by the section electric energy controller.
Compared with the prior art, the embodiment of the invention has the following beneficial effects:
in the embodiment of the invention, the acquisition equipment acquires the electricity utilization data of the rail transit station and uploads the electricity utilization data to the station end server, and the station end server sends the acquired electricity utilization data to the section electric energy controller for managing the rail transit station, so that the section electric energy controller realizes the electric energy optimization of the rail transit station managed by the section electric energy controller. Therefore, by implementing the energy optimization system, a user (such as a manager) can realize energy optimization of at least one rail transit station managed by the user by using the section electric energy controller, and the refined, intelligent and comprehensive energy optimization can effectively improve the energy utilization rate.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a network architecture diagram of an energy optimization system of a rail transit station disclosed in an embodiment of the present invention;
FIG. 2 is a system diagram of an energy optimization system of a rail transit station according to an embodiment of the present invention;
FIG. 3 is a system diagram of another energy optimization system for a rail transit station according to an embodiment of the present disclosure;
fig. 4 is a schematic flow chart of an energy optimization method for a rail transit station disclosed in an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It is to be noted that the terms "comprises" and "comprising" and any variations thereof in the embodiments and drawings of the present invention are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.
The embodiment of the invention discloses an energy optimization system and method for a rail transit station, which can realize energy optimization in rail transit and improve the energy utilization rate. The following are detailed below.
Example one
Referring to fig. 1, fig. 1 is a network architecture diagram of an energy optimization system for a rail transit station according to an embodiment of the present invention. It should be noted that the energy optimization system is used for implementing energy optimization on at least one rail transit station, and fig. 1 is only described by taking a rail transit station 1 and a rail transit station 2 as an example: the acquisition equipment in the rail transit station 1 and the rail transit station 2 are respectively connected with the corresponding station end servers in an ad hoc network mode, the station end servers of the rail transit station 1 and the rail transit station 2 are respectively connected with the section electric energy controller, the section electric energy controller is used for managing the electric energy of the rail transit station 1 and the rail transit station 2, and the section electric energy controller is connected into a rail transit network. It should be noted that, the inside of each rail transit station is connected in an ad hoc network manner, so that the high efficiency, the real-time performance and the safety of data acquisition can be ensured.
Referring to fig. 2, fig. 2 is a system schematic diagram of an energy optimization system of a rail transit station according to an embodiment of the present invention. The schematic diagram of the power management system includes a collection device 10 installed at each rail transit station, a station-side server 20, and a section power controller 30 managing power of each section. The specific functions of the equipment related to the energy optimization system are described as follows:
the collection device 10 is configured to collect power consumption data of the power consumption devices or power consumption loops at each rail transit station, and send the collected power consumption data to the station-side server 20.
It should be noted that the collection device 10 in the embodiment of the present invention may mainly include various types of electrical information collection devices, such as a NEMU-IP-E electrical information collection device, a NEMU-IP-1001+ electrical information collection device, a NEMU-M-4001 electrical information collection device, a NEMU-S-4001 electrical information collection device, and the like. The working voltage of most of the electric information acquisition equipment is 85-265 VAC/DC, the humidity is 5 RH-% 100RH, the temperature is-10 ℃ -70 ℃, the power consumption is less than or equal to 5W, and the electric information acquisition equipment can follow a TCP/IP protocol, a multifunctional watt-hour meter communication protocol and a Modbus communication protocol.
As an optional implementation manner, in the embodiment of the present invention, a manner that the collecting device 10 is used to collect power consumption data of the power consumption device or the power consumption loop at each track transportation station, and send the collected power consumption data to the station-side server 20 may specifically be: the acquisition device 10 is configured to acquire power consumption data of power consumption devices or power consumption loops connected to the power consumption devices or the power consumption loops in each rail transit station, randomly select a target frequency band from the unauthorized frequency bands, and send the power consumption data to the station-side server 20 through the target frequency band.
And the station-side server 20 is used for acquiring and storing the electricity utilization data from the acquisition equipment 10 and sending the electricity utilization data to the section electric energy controller 30.
And the section electric energy controller 30 is used for optimizing the electric energy of at least one rail transit station according to the electric energy data of each rail transit station in the at least one rail transit station managed by the section electric energy controller.
It should be noted that the station-side server 20 may be a station-side server of any rail transit station managed by the segment electric energy controller 30, and the embodiment of the present invention is not limited thereto.
In an embodiment of the present invention, the electricity data of each of the at least one track transportation station may include at least regenerative braking electric energy of a braking train and electricity consumption electric energy of an electricity consumption device in the at least one track transportation station, and then, the way that the section electric energy controller 30 is configured to optimize the electric energy of the at least one track transportation station according to the electricity consumption data of each of the at least one track transportation station managed by the section electric energy controller may specifically be: and the section electric energy controller 30 is used for optimizing the regenerative braking electric energy of the train and the electric energy of the electric equipment in at least one rail transit station according to the electric data of each rail transit station in at least one rail transit station managed by the section electric energy controller.
In view of the above-mentioned composition of the electricity consumption data, the collection device 10 may collect the regenerative braking electric energy of the braking train at the at least one railway transit station at a first preset collection frequency, and collect the electricity consumption electric energy of the electricity consumption device at the at least one railway transit station at a second preset collection frequency. The first preset collection frequency may be defined or set by the user according to the collection frequency requirement, and in addition, a period and a condition for the collection device 10 to send the power consumption data may also be set, so as to trigger the collection device 10 to complete sending when the set period is reached or the set condition is reached, for example, the first preset collection frequency of the collection device 10 is 1ms, that is, collection is performed every 1ms, the second preset collection frequency is 0.5ms, that is, collection is performed every 0.5ms, and sending of the power consumption data to the station-side server 20 is completed within 3 s. Optionally, the sending, by the collection device 10, the power consumption data to the station-side server 20 may include sending manners such as active, passive, or a mixture of active and passive, and the embodiment of the present invention is not limited thereto, and the manner in which the collection device 10 sends the power consumption data to the station-side server 20 by using the active sending manner may be: when the collecting device 10 detects that the current time meets the sending period or the sending condition, the electricity consumption data is sent to the station-side server 20. The passive method for sending the power consumption data to the station-side server 20 by the collection device 10 may be: when the collecting device 10 detects that the current time meets the sending period or the sending condition, it detects whether a sending start instruction is received, and when it detects that the sending start instruction is received, it sends the power consumption data to the station-side server 20, where the sending start instruction may be triggered by the user directly on the collecting device 10, or triggered by responding to a request sent by the station-side server 20, and the embodiment of the present invention is not limited.
Further optionally, the manner for the section electric energy controller 30 to optimize the regenerative braking electric energy of the train at the at least one track transportation station according to the electric data of each track transportation station of the at least one track transportation station managed by the section electric energy controller may specifically be: the section electric energy controller 30 is configured to count regenerative braking electric energy of the train in the at least one track transportation station according to the managed electric energy data of each track transportation station in the at least one track transportation station, find out electric energy consumed for traction when other trains in the at least one track transportation station operate except for the braking train, superimpose the electric energy consumed for traction when other trains in the at least one track transportation station operate except for the braking train to obtain total electric energy consumed for traction, and distribute surplus electric energy to other trains in the at least one track transportation station except for the braking train when the regenerative braking electric energy of the train in the at least one track transportation station is greater than the total electric energy consumed for traction, where the surplus electric energy is a difference value between the regenerative braking electric energy of the train in the at least one track transportation station and the total electric energy consumed for traction.
The manner for distributing the surplus electric energy to other trains except for the braking train in the at least one rail transit station by the section electric energy controller 30 may specifically be as follows: the section electric energy controller 30 is used for distributing surplus electric energy to other trains except for the braking train in at least one rail transit station according to a preset rule so as to improve the running speed of the other trains except for the braking train in a certain fixed time period, prolong the coasting duration of the other trains except for the braking train and record the coasting duration of the other trains except for the braking train; wherein the preset rule is used for indicating the occupation ratio of each train in the trains except for the braking train to the surplus electric energy.
It should be noted that, in the embodiment of the present invention, in order to ensure that the surplus electric energy allocated to at least one rail transit station managed by the zone electric energy controller 30 is relatively fair, the preset rule may be that each of the other trains except for the braking train has the same ratio to the surplus electric energy, for example, the zone electric energy controller 30 manages 6 rail transit stations, and among the 6 rail transit stations, the train braking at 2 rail transit stations results in generating enough surplus electric energy for 20 minutes for a non-braking train to coast, and the zone electric energy controller 30 averagely allocates enough surplus electric energy for 20 minutes for a non-braking train to non-braking trains at the remaining 4 rail transit stations, so that the non-braking trains at the remaining 4 rail transit stations can respectively have a coasting duration of 5 minutes. The preset rule may also be that the coasting duration of each of at least one of the track transportation stations managed by the regional power controller 30 in a certain fixed time period is the same, and the certain fixed time period may be two hours, one day, one month, one quarter or one year, and the like, which is not limited in the embodiment of the present invention.
In an embodiment of the present invention, the section electric energy controller 30 may store device information of each electric device in the at least one track transportation station, where the device information may include at least a station number of the track transportation station to which the electric device belongs and a device number in the track transportation station to which the electric device belongs, and then, the way for the section electric energy controller 30 to optimize the electric energy consumed by the electric device in the at least one track transportation station according to the electric data of each track transportation station in the at least one track transportation station managed by the section electric energy controller may specifically be: the section electric energy controller 30 is used for identifying whether abnormal electric equipment exists in the electric equipment in at least one rail transit station according to the managed electric data of each rail transit station in the at least one rail transit station, and the actual electric consumption of the abnormal electric equipment in the at least one rail transit station is larger than the preset electric consumption; and determining a target pre-diagnosis scheme of the abnormal electric equipment in the at least one rail transit station from a plurality of pre-stored pre-diagnosis schemes according to the actual electric quantity of the abnormal electric equipment in the at least one rail transit station, and outputting the target pre-diagnosis scheme for a user to check.
Referring to fig. 2, the energy optimization system shown in fig. 3 is further optimized based on fig. 2, and the energy optimization system may further include:
and the central management server 40 is configured to obtain the device information and the target prediction scheme of the abnormal electricity utilization device in the at least one rail transit station managed by the at least one section electric energy controller 30, and obtain the coasting duration of trains other than the braking train in the at least one rail transit station.
It should be noted that the central management server 40 may be connected to the rail transit station backbone network, so that it is convenient to manage and optimize the energy sources of all rail transit stations connected to the rail transit network.
In the embodiment of the present invention, the central management server 40 may be further configured to record an adoption rate of a target pre-diagnosis scheme for the abnormal electrical equipment at the at least one rail transit station managed by each section electrical energy controller 30, receive a diagnosis scheme input by a user for the abnormal electrical equipment at the at least one rail transit station managed by each section electrical energy controller 30, and send the diagnosis scheme for the abnormal electrical equipment at the at least one rail transit station managed by each section electrical energy controller 30 to the corresponding section electrical energy controller 30.
The district power controller 30 is further configured to receive the diagnosis plan of the abnormal power consumption device in the at least one rail transit station sent by the central management server 40, and update and optimize the target prediction plan of the abnormal power consumption device in the at least one rail transit station according to the received diagnosis plan of the abnormal power consumption device in the at least one rail transit station.
In the embodiment of the present invention, the manner for the section electric energy controller 30 to update and optimize the target prediction scheme of the abnormal electric device in the at least one rail transit station according to the received diagnosis scheme of the abnormal electric device in the at least one rail transit station may specifically be: a section electric energy controller 30 configured to determine whether the received diagnosis plan of the abnormal electric device at the at least one rail transit station is the same as a target prediction plan of the abnormal electric device at the at least one rail transit station; and when the diagnosis scheme of the abnormal electric equipment in the at least one rail transit station is different from the target prediction scheme of the abnormal electric equipment in the at least one rail transit station, replacing the target prediction scheme of the abnormal electric equipment in the at least one rail transit station with the diagnosis scheme of the abnormal electric equipment in the at least one rail transit station.
As an optional implementation manner, in an embodiment of the present invention, the energy optimization system may further include:
and the station-side client is used for accessing the station-side server 20 and analyzing the running state of the electric equipment of the rail transit station where the station-side server 20 is located according to the acquired electric data, so that the running state of the electric equipment is monitored in real time and abnormal early warning is realized. The station Client can be based on a Client/Server (C/S) architecture, so that not only can the data security be ensured, but also the multi-layer authentication can be easily realized, and the response speed of the station Client can be improved.
And the central management client is used for accessing the central management server 40, inquiring the adoption rate of the target pre-diagnosis scheme of the abnormal electric equipment in the at least one rail transit station managed by each section of electric energy controller 30, and inquiring the diagnosis scheme input by the user for the abnormal electric equipment in the at least one rail transit station managed by each section of electric energy controller 30. In the embodiment of the present invention, the central management client may be based on a Browser/Server (B/S) architecture, and the central management client may not need to install a specific program, has strong interactivity, and may also reduce the cost and workload required for upgrading the central management client 40.
By implementing the system, a user can optimize the electric energy of at least one rail transit station managed by the user through the section electric energy controller 30, can monitor the operation condition of the electric equipment in any rail transit station in real time through a station end client, and can query the adoption rate of the target pre-diagnosis scheme of the abnormal electric equipment in the at least one rail transit station managed by each section electric energy controller 30 and the diagnosis scheme input by the user for the abnormal electric equipment in the at least one rail transit station managed by each section electric energy controller 30 through the central server 40 or the central management client. The refined, intelligent and comprehensive energy optimization system can effectively improve the energy utilization rate.
Example two
Referring to fig. 4, fig. 4 is a schematic flow chart illustrating an energy optimization method for a rail transit station according to an embodiment of the present invention. The energy optimization method may be applied to the energy optimization system described in the first embodiment, and for the connection mode between the devices involved in the energy optimization method, reference may be made to the description of the first embodiment, which is not described herein again. The energy optimization method for the rail transit station can comprise the following steps:
401. the acquisition equipment acquires the electricity utilization data of the electricity utilization equipment or the electricity utilization loop of each rail transit station and sends the electricity utilization data to the station end server.
As an optional implementation manner, in an embodiment of the present invention, the acquiring device acquires power consumption data of the power consumption device or the power consumption loop at each track transportation station, and sends the acquired power consumption data to the station-side server, where the acquiring device may include: the acquisition equipment acquires the power utilization data of the power utilization equipment or the power utilization loop connected with the acquisition equipment in each rail transit station, randomly selects a target frequency band from the unauthorized frequency bands, and transmits the power utilization data to the station end server through the target frequency band.
402. And the station-side server acquires and stores the electricity utilization data from the acquisition equipment, and sends the acquired electricity utilization data to the section electric energy controller.
403. And the section electric energy controller optimizes the electric energy of at least one rail transit station according to the electric energy data of each rail transit station in at least one rail transit station managed by the section electric energy controller.
It should be noted that the station-side server may be a station-side server of any rail transit station managed by the segment electric energy controller, and the embodiment of the present invention is not limited thereto.
In an embodiment of the present invention, the electricity data of each of the at least one track transportation station at least includes regenerative braking electric energy of a braking train and electricity consumption electric energy of electricity consumption equipment at the at least one track transportation station, and then the optimizing, by the section electric energy controller, the electric energy of the at least one track transportation station according to the electricity consumption data of each of the at least one track transportation station managed by the section electric energy controller may include: and the section electric energy controller optimizes the regenerative braking electric energy of the train and the electric energy of the electric equipment according to the electric data of each of the at least one rail transit station managed by the section electric energy controller.
It should be noted that, in view of the above components of the electricity consumption data, please refer to the first embodiment for a detailed description of the electricity consumption data collected by the collection device, which is not repeated in the embodiments of the present invention.
Further optionally, the optimizing, by the regional power controller, the regenerative braking electric energy of the train at the at least one track transportation station according to the power consumption data of each of the at least one track transportation station managed by the regional power controller may include: the section electric energy controller counts train regenerative braking electric energy in at least one rail transit station according to the electric data of each rail transit station in at least one rail transit station managed by the section electric energy controller, finds out traction electric energy consumed when other trains except braking trains in the at least one rail transit station run, and superposes the traction electric energy consumed when other trains except braking trains in the at least one rail transit station run to obtain total traction electric energy consumed, and distributes surplus electric energy to other trains except braking trains in the at least one rail transit station when the regenerative braking electric energy of the trains in the at least one rail transit station is larger than the total traction electric energy consumed, wherein the surplus electric energy is the difference value of the regenerative braking electric energy of the trains in the at least one rail transit station and the total traction electric energy consumed.
Wherein the section power controller distributing the surplus power to the trains other than the brake train in the at least one rail transit station may include: the section electric energy controller distributes surplus electric energy to other trains except for the braking train in at least one rail transit station according to a preset rule so as to improve the running speed of the other trains except for the braking train in a certain fixed time period, prolong the coasting duration of the other trains except for the braking train and record the coasting duration of the other trains except for the braking train; wherein the preset rule is used for indicating the occupation ratio of each train in the trains except for the braking train to the surplus electric energy. For the introduction of the preset rule, refer to the first embodiment, and the embodiments of the present invention are not described again.
In an embodiment of the present invention, the section power controller may store device information of each electric device in the at least one track transportation station, where the device information may include at least a station number of the track transportation station to which the electric device belongs and a device number in the track transportation station to which the electric device belongs, and then, the section power controller may optimize the electric power consumption of the electric device in the at least one track transportation station according to the electric power consumption data of each track transportation station in the at least one track transportation station managed by the section power controller, where the optimizing includes: the method comprises the steps that a section electric energy controller identifies whether abnormal electric equipment exists in electric equipment in at least one rail transit station according to electric data of each rail transit station in at least one rail transit station managed by the section electric energy controller, wherein the actual electric consumption of the abnormal electric equipment in the at least one rail transit station is larger than the preset electric consumption; and determining a target pre-diagnosis scheme of the abnormal electric equipment in the at least one rail transit station from a plurality of pre-stored pre-diagnosis schemes according to the actual electric quantity of the abnormal electric equipment in the at least one rail transit station, and outputting the target pre-diagnosis scheme for a user to check.
Optionally, the energy optimization method may further include:
the central management server acquires the equipment information and the target pre-diagnosis scheme of the abnormal electricity utilization equipment in the at least one rail transit station managed by the at least one section electric energy controller, and acquires the coasting duration of other trains except the braking train in the at least one rail transit station.
In the embodiment of the present invention, the central management server may further record an adoption rate of a target prediction scheme for the abnormal electric equipment in the at least one rail transit station managed by each section electric energy controller, receive a diagnosis scheme input by a user for the abnormal electric equipment in the at least one rail transit station managed by each section electric energy controller, and send the diagnosis scheme for the abnormal electric equipment in the at least one rail transit station managed by each section electric energy controller to the corresponding section electric energy controller.
The section electric energy controller can also receive the diagnosis scheme of the abnormal electric equipment in the at least one rail transit station sent by the central management server, and update and optimize the target pre-diagnosis scheme of the abnormal electric equipment in the at least one rail transit station according to the received diagnosis scheme of the abnormal electric equipment in the at least one rail transit station.
It should be noted that, for a specific implementation manner in which the section electric energy controller updates and optimizes the target pre-diagnosis scheme of the abnormal electric equipment in the at least one rail transit station, please refer to the description in the first embodiment, which is not described again in the embodiments of the present invention.
As an optional implementation manner, in an embodiment of the present invention, the energy optimization method may further include:
and the station end client accesses the station end server and analyzes the running state of the electric equipment of the rail transit station where the station end server is located according to the acquired electricity utilization data, so that the running state of the electric equipment is monitored in real time and abnormal early warning is realized.
The central management client accesses the central management server, inquires the adoption rate of the target pre-diagnosis scheme of the abnormal electric equipment in the at least one rail transit station managed by each section of electric energy controller, and the diagnosis scheme input by the user and aiming at the abnormal electric equipment in the at least one rail transit station managed by each section of electric energy controller.
By implementing the method, the electric energy optimization of at least one rail transit station can be realized, the running condition of the electric equipment in any rail transit station can be monitored in real time, the adoption rate of the target pre-diagnosis scheme of the abnormal electric equipment in the at least one rail transit station managed by each section electric energy controller can be inquired, and the diagnosis scheme of the abnormal electric equipment in the at least one rail transit station managed by each section electric energy controller, which is input by a user, can be inquired. The energy optimization method with the advantages of refinement, intellectualization and integration can effectively improve the energy utilization rate.
It will be understood by those skilled in the art that all or part of the steps in the methods of the embodiments described above may be implemented by instructions associated with a program, which may be stored in a computer-readable storage medium, where the storage medium includes Read-Only Memory (ROM), Random Access Memory (RAM), Programmable Read-Only Memory (PROM), Erasable Programmable Read-Only Memory (EPROM), One-time Programmable Read-Only Memory (OTPROM), Electrically Erasable Programmable Read-Only Memory (EEPROM), compact disc-Read-Only Memory (CD-ROM), or other Memory, magnetic disk, magnetic tape, or magnetic tape, Or any other medium which can be used to carry or store data and which can be read by a computer.
The energy optimization system and the method for the rail transit station disclosed in the embodiment of the present invention are described in detail above, and specific examples are applied in the present disclosure to explain the principle and the implementation manner of the present invention, and the size of the step numbers in the specific examples does not mean that the execution sequence is necessarily sequential, and the execution sequence of each process should be determined by the function and the internal logic thereof, and should not limit the implementation process of the embodiment of the present invention at all. The units described as separate parts may or may not be physically separate, and some or all of the units may be selected according to actual needs to achieve the purpose of the embodiment.
The character "/" herein generally indicates that the former and latter associated objects are in an "or" relationship. In the embodiments provided herein, it should be understood that "B corresponding to A" means that B is associated with A from which B can be determined. It should also be understood, however, that determining B from a does not mean determining B from a alone, but may also be determined from a and/or other information. The technical solution of the present invention, which is a part of or contributes to the prior art in essence, or all or part of the technical solution, may be embodied in the form of a software product, which is stored in a memory and includes several requests for causing a computer device (which may be a personal computer, a server, or a network device, etc., and may specifically be a processor in the computer device) to execute part or all of the steps of the above-described method according to various embodiments of the present invention.
The above description of the embodiments is only intended to facilitate the understanding of the method of the invention and its core ideas; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.
Claims (7)
1. An energy optimization system for a rail transit station, the energy optimization system being configured to optimize electric energy of at least one rail transit station, the energy optimization system comprising: the system comprises acquisition equipment installed at each rail transit station, a station end server and a section electric energy controller for managing electric energy of each section, wherein each section comprises at least one rail transit station, and the system comprises:
the acquisition equipment is used for acquiring the electricity utilization data of the electricity utilization equipment or the electricity utilization loop of each rail transit station and sending the electricity utilization data to the station end server;
the station-side server is used for acquiring and storing the electricity utilization data from the acquisition equipment and sending the electricity utilization data to the section electric energy controller;
the section electric energy controller is used for optimizing the electric energy of at least one rail transit station according to the electricity utilization data of each rail transit station in the at least one rail transit station managed by the section electric energy controller;
the energy optimization system further comprises:
the central management server is used for acquiring equipment information and a target pre-diagnosis scheme of abnormal electric equipment in the at least one rail transit station managed by the at least one section electric energy controller, and acquiring the coasting duration of other trains except for the braking train in the at least one rail transit station; the central management server is further configured to record an acquisition rate of a target prediction scheme of abnormal electric equipment in the at least one rail transit station managed by each of the district electric energy controllers, receive a diagnosis scheme input by a user and specific to the abnormal electric equipment in the at least one rail transit station managed by each of the district electric energy controllers, and send the diagnosis scheme of the abnormal electric equipment in the at least one rail transit station managed by each of the district electric energy controllers to a corresponding district electric energy controller;
the section electric energy controller is further configured to receive the diagnosis scheme of the abnormal electric equipment in the at least one rail transit station sent by the central management server, and update and optimize the target pre-diagnosis scheme of the abnormal electric equipment in the at least one rail transit station according to the received diagnosis scheme of the abnormal electric equipment in the at least one rail transit station.
2. The energy optimization system according to claim 1, wherein the collection device is configured to collect power consumption data of the power consumption device or the power consumption loop at each track transportation station, and the manner of sending the power consumption data to the station-side server is specifically:
the acquisition equipment is used for acquiring the electricity utilization data of the electricity utilization equipment or the electricity utilization loop connected with the acquisition equipment in each rail transit station, randomly selecting a target frequency band from unauthorized frequency bands, and sending the electricity utilization data to the station end server through the target frequency band.
3. The energy optimization system according to claim 1 or 2, wherein the electricity consumption data at least comprises regenerative braking electric energy of braking trains in the at least one track transportation station and electricity consumption electric energy of electric equipment, and the section electric energy controller is configured to optimize the electric energy of the at least one track transportation station according to the electricity consumption data of each track transportation station in the at least one track transportation station managed by the section electric energy controller in a manner that:
the section electric energy controller is used for optimizing train regenerative braking electric energy and electric energy of electric equipment according to the electric data of each of at least one rail transit station managed by the section electric energy controller.
4. The energy optimization system according to claim 3, wherein the district electric energy controller is configured to optimize regenerative braking electric energy of the train at the at least one rail transit stop according to the electricity consumption data of each of the at least one rail transit stop managed by the district electric energy controller by:
the section electric energy controller is used for counting the regenerated braking electric energy of the train in at least one rail transit station according to the electric power utilization data of each rail transit station in the at least one rail transit station managed by the section electric energy controller, and searching the traction electric energy consumption when other trains except the braking train operate in the at least one rail transit station, and the traction power consumption of the trains in the at least one rail transit station except the braking train during operation is superposed to obtain the total traction power consumption, and distributing surplus electric energy to other trains except for the braking train in the at least one rail transit station when the regenerative braking electric energy of the train in the at least one rail transit station is larger than the total traction electric energy consumption, and the surplus electric energy is the difference value between the regenerative braking electric energy of the train in the at least one rail transit station and the total traction power consumption electric energy.
5. The energy optimization system according to claim 4, wherein the section electric energy controller is configured to distribute the surplus electric energy to the trains other than the braking train at the at least one rail transit station by:
the section electric energy controller is used for distributing surplus electric energy to other trains except for the braking train in the at least one rail transit station according to a preset rule so as to improve the running speed of the other trains except for the braking train in a certain fixed time period, prolong the coasting duration of the other trains except for the braking train and record the coasting duration of the other trains except for the braking train; the preset rule is used for indicating the occupation ratio of each train in the trains except for the braking train to the surplus electric energy.
6. The energy optimization system according to claim 5, wherein the district power controller stores therein device information of each electric device within the at least one track transportation station, the device information at least including a station number of a track transportation station to which the electric device belongs and a device number in the track transportation station, and the district power controller is configured to optimize electric power consumption of the electric device within the at least one track transportation station according to the electric power consumption data of each track transportation station of the at least one track transportation station managed by the district power controller in a manner that:
the section electric energy controller is used for identifying whether abnormal electric equipment exists in the electric equipment in at least one rail transit station according to the electric data of each rail transit station in at least one rail transit station managed by the section electric energy controller, and the actual electric consumption of the abnormal electric equipment in at least one rail transit station is larger than the preset electric consumption; and determining a target pre-diagnosis scheme of the abnormal electric equipment in the at least one rail transit station from a plurality of pre-stored pre-diagnosis schemes according to the actual electric quantity of the abnormal electric equipment in the at least one rail transit station and outputting the target pre-diagnosis scheme for a user to check.
7. An energy optimization method for a rail transit station, which is applied to the energy optimization system for the rail transit station of any one of claims 1 to 6, wherein the energy optimization system is used for realizing the optimization of electric energy of at least one rail transit station, and the method comprises the following steps:
the method comprises the steps that collection equipment collects power utilization data of power utilization equipment or power utilization loops of each rail transit station and sends the power utilization data to a station end server;
the station end server acquires and stores the electricity utilization data from the acquisition equipment, and sends the electricity utilization data to the section electric energy controller;
the section electric energy controller optimizes the electric energy of at least one rail transit station according to the electricity utilization data of each rail transit station in the at least one rail transit station managed by the section electric energy controller.
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| CN103915900B (en) * | 2014-04-18 | 2017-09-12 | 上海电科智能系统股份有限公司 | A kind of track traffic electric power monitors DC load monitoring method |
| CN103913630A (en) * | 2014-04-18 | 2014-07-09 | 上海电科智能系统股份有限公司 | Centralized electric energy measuring and energy consumption analyzing system for rail transit |
| CN104242454A (en) * | 2014-09-24 | 2014-12-24 | 刘瑞 | Power monitoring system of rail transit power supply system |
| CN104260759B (en) * | 2014-10-08 | 2016-01-27 | 北京交通大学 | A kind of urban track traffic energy conservation optimizing method and system |
| CN104238531B (en) * | 2014-10-17 | 2017-02-22 | 成都四为电子信息股份有限公司 | Railway station energy management system and energy-saving control method |
| DE102015214672A1 (en) * | 2015-07-31 | 2017-02-02 | Siemens Aktiengesellschaft | Method for driving curve optimization for rail vehicles |
| CN107239874B (en) * | 2017-04-26 | 2023-05-16 | 广西电网有限责任公司电力科学研究院 | Rail transit-oriented electric energy quality and energy-saving analysis system |
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