CN111284358B - Intelligent charging demand scheduling system - Google Patents
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L53/00—Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
- B60L53/60—Monitoring or controlling charging stations
- B60L53/68—Off-site monitoring or control, e.g. remote control
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L53/00—Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
- B60L53/30—Constructional details of charging stations
- B60L53/31—Charging columns specially adapted for electric vehicles
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- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/60—Other road transportation technologies with climate change mitigation effect
- Y02T10/70—Energy storage systems for electromobility, e.g. batteries
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/60—Other road transportation technologies with climate change mitigation effect
- Y02T10/7072—Electromobility specific charging systems or methods for batteries, ultracapacitors, supercapacitors or double-layer capacitors
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02T90/10—Technologies relating to charging of electric vehicles
- Y02T90/12—Electric charging stations
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02T90/10—Technologies relating to charging of electric vehicles
- Y02T90/16—Information or communication technologies improving the operation of electric vehicles
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02T90/10—Technologies relating to charging of electric vehicles
- Y02T90/16—Information or communication technologies improving the operation of electric vehicles
- Y02T90/167—Systems integrating technologies related to power network operation and communication or information technologies for supporting the interoperability of electric or hybrid vehicles, i.e. smartgrids as interface for battery charging of electric vehicles [EV] or hybrid vehicles [HEV]
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S30/00—Systems supporting specific end-user applications in the sector of transportation
- Y04S30/10—Systems supporting the interoperability of electric or hybrid vehicles
- Y04S30/12—Remote or cooperative charging
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Abstract
The application relates to an intelligent charging demand scheduling system, including: the charging pile control subsystem is used for acquiring real-time electric quantity information of a charging pile and sending the real-time electric quantity information to the charging demand dispatching center; the traffic information acquisition system is used for acquiring real-time traffic information around the charging pile; the interactive terminal is used for carrying out information interaction with the charging demand dispatching center based on charging demand information input by a user so as to acquire charging scheme information provided by the charging demand dispatching center to the interactive terminal; the charging demand scheduling center acquires the charging scheme information when the sum of the time equivalent costs of traffic channel blockage around the charging pile is less than or equal to a preset threshold value based on the acquired real-time electric quantity information, the real-time traffic information and the charging demand information of the charging pile. When the quality of service that charges of electric automobile is improved in the realization, the impact of filling the electric pile power consumption to the electric wire netting has been alleviated.
Description
Technical Field
The invention relates to the technical field of power transmission, in particular to an intelligent charging demand scheduling system.
Background
In recent years, renewable energy sources are applied to power grids more and more widely, and renewable energy power generation in the form of solar photovoltaic power generation and the like is rapidly developed. The multi-energy complementary framework is an image of an integrated integration concept in the field of energy system engineering, is not simple superposition of multiple energy sources, and needs to comprehensively arrange the matching relationship among various energies and convert and use the energies on the system height so as to obtain the most reasonable energy utilization effect and benefit. Meanwhile, electric vehicles are rapidly popularized as an alternative under the background of prohibition of selling fuel vehicles by issuing policies in various countries in the world.
However, some research has been done on the aspect of city electric vehicle charging demand scheduling at home and abroad, but basically only the electric vehicle itself is considered, the mutual influence of each energy and load under the multi-energy complementary framework is ignored, and the impact of the charging pile power consumption on the power grid is ignored.
Disclosure of Invention
Based on this, it is necessary to provide an intelligent charging demand scheduling system capable of improving the charging service quality of the electric vehicle and alleviating the impact of the power consumption of the charging pile on the power grid, in order to solve the problems in the background art.
The application provides an intelligence demand dispatch system that charges includes:
the charging pile control subsystem is in communication connection with the charging demand dispatching center and is used for acquiring real-time electric quantity information of the charging pile and sending the real-time electric quantity information to the charging demand dispatching center, and the charging pile comprises a quick charging pile and a slow charging pile;
the traffic information acquisition system is in communication connection with the charging demand dispatching center and is used for acquiring real-time traffic information around the charging pile;
the interactive terminal is in communication connection with the charging demand dispatching center and is used for performing information interaction with the charging demand dispatching center based on charging demand information input by a user so as to obtain charging scheme information provided by the charging demand dispatching center to the interactive terminal, wherein the charging demand information comprises quick charging demand information and slow charging demand information;
and when the sum of the time equivalent costs of traffic channel blockage around the charging pile is less than or equal to a preset threshold value, the charging demand scheduling center forms the charging scheme information based on the acquired real-time electric quantity information, the acquired real-time traffic information and the charging demand information of the charging pile.
In the intelligent charging demand scheduling system in the above embodiment, the charging pile control subsystem, the traffic information acquisition system, and the interactive terminal, which are in communication connection with the charging demand scheduling center, are arranged by using the charging demand scheduling center as a scheduling, controlling, and managing center. The charging pile control subsystem can acquire real-time electric quantity information of a charging pile and send the real-time electric quantity information to the charging demand dispatching center, wherein the charging pile comprises a quick charging pile and a slow charging pile; the traffic information acquisition system can acquire real-time traffic information around the charging pile; the interactive terminal can perform information interaction with the charging demand dispatching center based on charging demand information input by a user so as to acquire charging scheme information provided by the charging demand dispatching center to the interactive terminal, wherein the charging demand information comprises quick charging demand information and slow charging demand information. The charging demand dispatching center acquires the charging scheme information when the sum of the time equivalent costs of traffic channel blockage around the charging pile is less than or equal to a preset threshold value based on the acquired real-time electric quantity information, the real-time traffic information and the charging demand information of the charging pile, so that the charging service quality of the electric automobile is improved, the time-space distribution of the load of a power distribution network is optimized, and the impact of the power consumption of the charging pile on the power grid is relieved.
In one embodiment, the sum f of the equivalent cost of time for blocking the traffic channel around the charging pile is:
wherein Ns is the total number of charging piles, RkThe total number of roads around the kth charging post,
the time value of the electric vehicle user is shown, and v (r, t) is the traffic flow of the r-th road at the time t;
the time impedance of the r-th road with the traffic flow v is shown.
In the intelligent charging demand scheduling system in the above embodiment, the charging demand scheduling center provides appropriate charging scheme information to users, and the space-time distribution of the charging demands in each area can be satisfied reasonably, so that the serious road congestion in the area near the charging pile is avoided as an optimization target, and the sum of the time equivalent costs of the road congestion around the charging pile is established as an optimized objective function, so that the charging demand scheduling center can calculate the appropriate charging scheme information conveniently, thereby improving the charging service quality of the electric vehicle, optimizing the space-time distribution of the load of a power distribution network, and relieving the impact of the power consumption of the charging pile on the power grid.
In one embodiment, the time impedance of the r road with the traffic flow v
Calculated according to the following formula:
wherein, t0The free running time of the r-th road with the traffic flow v is taken as the time; q is the traffic volume of the r-th road with the traffic flow v, c is the actual traffic capacity of the r-th road with the traffic flow v, and alpha and beta are preset parameter values respectively.
In one embodiment, when the charging demand information is quick charging demand information, the charging demand scheduling center provides first charging scheme information to the interactive terminal based on the quick charging demand information, wherein the first charging scheme information comprises the number, the position information and the expected queuing time of available quick charging piles;
the charging demand scheduling center acquires suggested charging scheme information based on intention charging information input by the user according to the first charging scheme information, the real-time electric quantity information of the charging pile and the real-time traffic information, wherein the intention charging scheme information comprises position information of a quick charging pile capable of going to charge in real time, and the intention charging information comprises intention charging starting time, intention charging ending time and intention charging quantity.
In the intelligent charging demand scheduling system in the above embodiment, it is first distinguished whether the charging demand category of the user is a fast charging demand or a slow charging demand, and then different scheduling processing plans are given. When the charging demand information is quick charging demand information, the charging demand scheduling center provides first charging scheme information to the interactive terminal based on the quick charging demand information, wherein the first charging scheme information comprises the number, the position information and the predicted queuing time of available quick charging piles; after the user determines to charge, the user can input intention charging information through a personal interactive terminal, wherein the intention charging information comprises intention charging starting time, intention charging ending time and intention charging amount, and the interactive terminal sends the intention charging information to the charging demand scheduling center; the charging demand dispatching center calculates appropriate suggested charging scheme information based on intention charging information input by a user, the real-time electric quantity information of the charging pile and the real-time traffic information, which are acquired by the interactive terminal, and sends the suggested charging scheme information to the interactive terminal of the user; the user passes through the position information that can go to the quick electric pile that fills who charges in real time can be obtained to the interactive terminal, has avoided the blindness of charging, improves electric vehicle charging service quality, has improved the efficiency of filling the electric pile power supply.
In one embodiment, when the charging demand information is slow charging demand information, the charging demand scheduling center provides second charging scheme information to the interactive terminal based on the slow charging demand information, wherein the second charging scheme information includes position information of a slow charging pile which can go to the real-time charging;
and the charging demand dispatching center controls and adjusts the discharging power of the slow charging pile based on intention charging information, real-time electric quantity information of the charging pile and the real-time traffic information, which are acquired by the interactive terminal and input by the user according to the second charging scheme information, so as to optimize a load curve of the power distribution network, wherein the intention charging information comprises intention charging starting time, intention charging ending time and intention charging amount.
In the intelligent charging demand scheduling system in the above embodiment, it is first distinguished whether the charging demand category of the user is a fast charging demand or a slow charging demand, and then different scheduling processing plans are given. When the charging demand information is slow charging demand information, the charging demand dispatching center provides the position information of a slow charging pile for the user to go to charge in real time to the interactive terminal based on the slow charging demand information; and the charging demand scheduling center controls and adjusts the discharging power of the slow charging pile based on intention charging information input by a user, the real-time electric quantity information of the charging pile and the real-time traffic information, which are acquired by the interactive terminal, so as to optimize a load curve of the power distribution network, wherein the intention charging information comprises intention charging starting time, intention charging ending time and intention charging amount. When satisfying the different demands that charge of user, avoided the blindness nature of charging, alleviated and filled the impact of electric pile power consumption to the electric wire netting, improved the efficiency of filling the electric pile power supply.
In one embodiment, the charging demand dispatch center is configured to:
acquiring a historical load curve of the power distribution network and an expected charging curve of a charging vehicle;
and controlling and adjusting the discharging power of the slow charging pile based on the historical load curve and the expected charging curve and taking the lowest charging cost of the charging vehicle as a target so as to optimize the load curve of the power distribution network.
In the intelligent charging demand scheduling system in the above embodiment, the charging demand scheduling center controls and adjusts the discharging power of the slow charging pile by acquiring the historical load curve of the power distribution network and the expected charging curve of the charging vehicle, with the charging cost of the charging vehicle being the lowest, so as to optimize the load curve of the power distribution network, improve the feasibility and the efficiency of charging demand scheduling, provide better electric energy for the charging vehicle, save the cost of power supply, and optimize the load curve of the power distribution network.
In one embodiment, the charging pile control subsystem is configured to:
acquiring real-time charging information of a charging vehicle, wherein the real-time charging information comprises a charging type, a charging starting time, a predicted charging ending time and a vehicle battery charge state;
and sending the real-time charging information to the charging demand dispatching center.
In the intelligent charging demand scheduling system in the above embodiment, the real-time charging information of the charging vehicle is obtained, where the real-time charging information includes a charging type, a charging start time, a predicted charging end time, and a vehicle battery state of charge; the real-time charging information is sent to the charging demand dispatching center, so that the charging demand dispatching center can carry out electric power transmission dispatching more reasonably based on the real-time charging information of the charging vehicles, and the charging power of the charging pile is controlled more reasonably.
In one embodiment, the charging demand dispatching center sends the real-time charging information to the interactive terminal, so that a user can check the real-time charging information of the vehicle through the interactive terminal, and the charging intelligence and convenience of the user are improved.
In one embodiment, the charging pile control subsystem is configured to:
acquiring the maximum charging power value of a charging pile connected with the charging vehicle;
acquiring a remaining parking time value and a remaining required electric quantity value of the charging vehicle;
and sending the maximum charging power value, the remaining parking time value and the remaining demand electric quantity value to the charging demand dispatching center.
In the above-described embodiment of the intelligent charging demand scheduling system, the charging pile control subsystem obtains the maximum charging power value of the charging pile, the remaining parking time value of the charging vehicle, and the remaining demand power value of the charging vehicle, so that the charging demand scheduling center can perform power transmission scheduling more reasonably and control the charging power of the charging pile more reasonably based on the maximum charging power value of the charging pile, the remaining parking time value of the charging vehicle, and the remaining demand power value.
In one embodiment, the charging demand dispatching center controls and adjusts the discharging power of the slow charging pile based on the maximum charging power value, the remaining parking time value and the remaining demand power value so as to optimize a load curve of a power distribution network.
In the above-described embodiment of the intelligent charging demand scheduling system, the charging pile control subsystem obtains the maximum charging power value of the charging pile, the remaining parking time value of the charging vehicle, and the remaining demand power value of the charging vehicle, so that the charging demand scheduling center can perform power transmission scheduling more reasonably and control the charging power of the charging pile more reasonably based on the maximum charging power value of the charging pile, the remaining parking time value of the charging vehicle, and the remaining demand power value.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain drawings of other embodiments based on these drawings without any creative effort.
Fig. 1 is a schematic structural diagram of an intelligent charging demand scheduling system according to a first embodiment of the present application.
Fig. 2 is a schematic diagram of a partial scheduling flow of a charging demand scheduling system in a second embodiment of the present application.
Fig. 3 is a schematic diagram of a partial scheduling flow of a charging demand scheduling system in a third embodiment of the present application.
Fig. 4 is a schematic diagram of a partial scheduling flow of a charging demand scheduling system in a fourth embodiment of the present application.
Fig. 5 is a schematic diagram of a partial scheduling flow of a charging demand scheduling system in a fifth embodiment of the present application.
Fig. 6 is a schematic diagram of a partial scheduling flow of a charging demand scheduling system in a sixth embodiment of the present application.
Detailed Description
To facilitate an understanding of the present application, the present application will now be described more fully with reference to the accompanying drawings. Preferred embodiments of the present application are illustrated in the accompanying drawings. This application may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein in the description of the present application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used herein, the term "and/or" includes any and all combinations of one or more of the associated listed items.
Where the terms "comprising," "having," and "including" are used herein, another element may be added unless an explicit limitation is used, such as "only," "consisting of … …," etc. Unless mentioned to the contrary, terms in the singular may include the plural and are not to be construed as being one in number.
It will be understood that, although the terms first, second, etc. may be used herein to describe various elements, these elements should not be limited by these terms. These terms are only used to distinguish one element from another. For example, a first element could be termed a second element, and, similarly, a second element could be termed a first element, without departing from the scope of the present application.
In the description of the present application, it is to be noted that, unless explicitly stated or limited otherwise, the terms "connected" and "connected" are to be interpreted broadly, e.g. as electrical, communication or integral connections; the connection may be direct or indirect via an intermediate medium, and the connection may be internal to the two components. The specific meaning of the above terms in the present application can be understood in a specific case by those of ordinary skill in the art.
As shown in fig. 1, in an embodiment of the present application, an intelligent charging demand scheduling system includes a charging pile control subsystem 10, a charging demand scheduling center 20, a traffic information collection system 30, and an interactive terminal 40. The charging pile control subsystem 10 is in communication connection with the charging demand dispatching center 20, and is used for acquiring real-time electric quantity information of the charging pile 50 and sending the real-time electric quantity information to the charging demand dispatching center 20, wherein the charging pile 50 comprises a fast charging pile 51 and a slow charging pile 52; the traffic information acquisition system 30 is in communication connection with the charging demand dispatching center 10 and is used for acquiring real-time traffic information around the charging pile; the interactive terminal 40 is in communication connection with the charging demand scheduling center 20, and is configured to perform information interaction with the charging demand scheduling center 20 based on charging demand information input by a user, so as to obtain charging scheme information provided by the charging demand scheduling center 20 to the interactive terminal 40, where the charging demand information includes fast charging demand information and slow charging demand information; the charging demand scheduling center 20 acquires the charging scheme information when the sum of the time equivalent costs of the traffic congestion around the charging pile 50 is less than or equal to a preset threshold value based on the acquired real-time electric quantity information of the charging pile 50, the real-time traffic information and the charging demand information.
Specifically, in the intelligent charging demand scheduling system in the above embodiment, the charging pile control subsystem 10, the traffic information acquisition system 30 and the interactive terminal 40, which are in communication connection with the charging demand scheduling center 20, are arranged by taking the charging demand scheduling center 20 as a scheduling, controlling and managing center. The charging pile control subsystem 10 can acquire real-time electric quantity information of the charging pile and send the real-time electric quantity information to the charging demand dispatching center 20, and the charging pile 50 comprises a quick charging pile 51 and a slow charging pile 52; the traffic information acquisition system 30 may acquire real-time traffic information around the charging pile 50; the interactive terminal 40 may perform information interaction with the charging demand scheduling center based on charging demand information input by a user to obtain charging scheme information provided by the charging demand scheduling center to the interactive terminal 40, where the charging demand information includes fast charging demand information and slow charging demand information. The charging demand scheduling center 20 acquires the charging scheme information when the sum of the time equivalent costs of traffic channel blockage around the charging pile 50 is less than or equal to a preset threshold value based on the acquired real-time electric quantity information of the charging pile 50, the real-time traffic information and the charging demand information, so that the charging service quality of the electric vehicle is improved, the time-space distribution of the load of a power distribution network is optimized, and the impact of the power consumption of the charging pile on the power grid is relieved.
Further, in the intelligent charging demand scheduling system in the above embodiment, a sum f of equivalent costs of time for blocking a traffic channel around the charging pile may be:
wherein Ns is the total number of charging piles, RkThe total number of roads around the kth charging post,
the time value of the electric vehicle user is shown, and v (r, t) is the traffic flow of the r-th road at the time t;
the time impedance of the r-th road with the traffic flow v is shown.
In the intelligent charging demand scheduling system in the above embodiment, the charging demand scheduling center provides appropriate charging scheme information to users, and the space-time distribution of the charging demands in each area can be satisfied reasonably, so that the serious road congestion in the area near the charging pile is avoided as an optimization target, and the sum of the time equivalent costs of the road congestion around the charging pile is established as an optimized objective function, so that the charging demand scheduling center can calculate the appropriate charging scheme information conveniently, thereby improving the charging service quality of the electric vehicle, optimizing the space-time distribution of the load of a power distribution network, and relieving the impact of the power consumption of the charging pile on the power grid.
Further onIn the above-described embodiment of the intelligent charging demand scheduling system, the time impedance of the r-th road with the traffic flow v
Calculated according to the following formula:
wherein, t0The free running time of the r-th road with the traffic flow v is taken as the time; q is the traffic volume of the r-th road with the traffic flow v, c is the actual traffic capacity of the r-th road with the traffic flow v, and alpha and beta are preset parameter values respectively.
Specifically, in the intelligent charging demand scheduling system in the above embodiment, the Road section impedance of the Road is calculated through a function of the federal Bureau of Public Road (BPR) in the united states, so as to reflect the Road congestion condition through the time of the Road, where α and β may take values of 0.15 and 4, respectively, and may also be determined according to the traffic condition of the specific Road.
Further, in an intelligent charging demand scheduling system provided in an embodiment of the present application, as shown in fig. 2, the charging demand scheduling center is configured to perform the following steps:
step 202: when the charging demand information is quick charging demand information, the charging demand scheduling center provides first charging scheme information to the interactive terminal based on the quick charging demand information, and the first charging scheme information comprises the number, the position information and the predicted queuing time of the available quick charging piles.
Step 204: the charging demand scheduling center acquires suggested charging scheme information based on intention charging information input by the user according to the first charging scheme information, the real-time electric quantity information of the charging pile and the real-time traffic information, wherein the intention charging scheme information comprises position information of a quick charging pile capable of going to charge in real time, and the intention charging information comprises intention charging starting time, intention charging ending time and intention charging quantity.
Specifically, in the intelligent charging demand scheduling system in the above embodiment, it is first distinguished whether the charging demand category of the user is a fast charging demand or a slow charging demand, and then different scheduling processing plans are given. When the charging demand information is quick charging demand information, the charging demand scheduling center provides first charging scheme information to the interactive terminal based on the quick charging demand information, wherein the first charging scheme information comprises the number, the position information and the predicted queuing time of available quick charging piles; after the user determines to charge, the user can input intention charging information through a personal interactive terminal, wherein the intention charging information comprises intention charging starting time, intention charging ending time and intention charging amount, and the interactive terminal sends the intention charging information to the charging demand scheduling center; the charging demand dispatching center calculates appropriate suggested charging scheme information based on intention charging information input by a user, the real-time electric quantity information of the charging pile and the real-time traffic information, which are acquired by the interactive terminal, and sends the suggested charging scheme information to the interactive terminal of the user; the user passes through the position information that can go to the quick electric pile that fills who charges in real time can be obtained to the interactive terminal, has avoided the blindness of charging, improves electric vehicle charging service quality, has improved the efficiency of filling the electric pile power supply.
Further, in an intelligent charging demand scheduling system provided in an embodiment of the present application, as shown in fig. 3, the charging demand scheduling center is configured to perform the following steps:
step 203: when the charging demand information is the slow charging demand information, the charging demand dispatching center provides second charging scheme information to the interactive terminal based on the slow charging demand information, and the second charging scheme information comprises position information of a slow charging pile capable of going to charge in real time.
Step 205: and the charging demand dispatching center controls and adjusts the discharging power of the slow charging pile based on intention charging information, real-time electric quantity information of the charging pile and the real-time traffic information, which are acquired by the interactive terminal and input by the user according to the second charging scheme information, so as to optimize a load curve of the power distribution network, wherein the intention charging information comprises intention charging starting time, intention charging ending time and intention charging amount.
Specifically, in the intelligent charging demand scheduling system in the above embodiment, it is first distinguished whether the charging demand category of the user is a fast charging demand or a slow charging demand, and then different scheduling processing plans are given. When the charging demand information is slow charging demand information, the charging demand dispatching center provides the position information of a slow charging pile for the user to go to charge in real time to the interactive terminal based on the slow charging demand information; and the charging demand scheduling center controls and adjusts the discharging power of the slow charging pile based on intention charging information input by a user, the real-time electric quantity information of the charging pile and the real-time traffic information, which are acquired by the interactive terminal, so as to optimize a load curve of the power distribution network, wherein the intention charging information comprises intention charging starting time, intention charging ending time and intention charging amount. When satisfying the different demands that charge of user, avoided the blindness nature of charging, alleviated and filled the impact of electric pile power consumption to the electric wire netting, improved the efficiency of filling the electric pile power supply.
In the intelligent charging demand scheduling system in the above embodiment, when the user adopts the slow charging mode, the schedulability of the charging load is strong, and it is not practical to directly schedule the charging of each electric vehicle by the scheduling mechanism in consideration of the fact that the electric power demand for charging the electric vehicle is generally large. An electric vehicle hierarchical and partitioned scheduling model can be adopted. And the upper optimization model formulates an optimal charging scheduling scheme of each charging pile, and the lower optimization model determines a specific charging plan of each electric vehicle in each charging pile.
Further, in an intelligent charging demand scheduling system provided in an embodiment of the present application, as shown in fig. 4, the charging demand scheduling center is configured to perform the following steps:
step 207: and acquiring a historical load curve of the power distribution network and an expected charging curve of a charging vehicle.
Step 208: and controlling and adjusting the discharging power of the slow charging pile based on the historical load curve and the expected charging curve and taking the lowest charging cost of the charging vehicle as a target so as to optimize the load curve of the power distribution network.
Specifically, in the intelligent charging demand scheduling system in the above embodiment, the charging demand scheduling center controls and adjusts the discharging power of the slow charging pile by acquiring the historical load curve of the power distribution network and the expected charging curve of the charging vehicle, with the charging cost of the charging vehicle being the lowest target, so as to optimize the load curve of the power distribution network, improve the feasibility and the efficiency of charging demand scheduling, provide higher-quality electric energy for the charging vehicle, save the cost of electric power supply, and optimize the load curve of the power distribution network. Preferably, in this embodiment, the charging cost of the charging vehicle includes a unit start-stop cost caused by system grid loss and system load fluctuation.
Further, in an intelligent charging demand scheduling system provided in an embodiment of the present application, as shown in fig. 5, the charging pile control subsystem is configured to perform the following steps:
step 102: the method comprises the steps of obtaining real-time charging information of a charging vehicle, wherein the real-time charging information comprises a charging type, a charging starting time, a predicted charging ending time and a vehicle battery charge state.
Step 104: and sending the real-time charging information to the charging demand dispatching center.
Specifically, in the intelligent charging demand scheduling system in the above embodiment, the real-time charging information of the charging vehicle is obtained, where the real-time charging information includes a charging type, a charging start time, a predicted charging end time, and a vehicle battery state of charge; the real-time charging information is sent to the charging demand dispatching center, so that the charging demand dispatching center can carry out electric power transmission dispatching more reasonably based on the real-time charging information of the charging vehicles, and the charging power of the charging pile is controlled more reasonably.
In the intelligent charging demand scheduling system provided in an embodiment of the application, the charging demand scheduling center sends the real-time charging information to the interactive terminal, so that a user can check the real-time charging information of the vehicle of the user through the interactive terminal, and the charging intelligence and convenience of the user are improved.
Further, in an intelligent charging demand scheduling system provided in an embodiment of the present application, as shown in fig. 6, the charging pile control subsystem is configured to perform the following steps:
step 103: and acquiring the maximum charging power value of a charging pile connected with the charging vehicle.
Step 105: and acquiring a remaining parking time value and a remaining required electric quantity value of the charging vehicle.
Step 107: and sending the maximum charging power value, the remaining parking time value and the remaining demand electric quantity value to the charging demand dispatching center.
In the above-described embodiment of the intelligent charging demand scheduling system, the charging pile control subsystem obtains the maximum charging power value of the charging pile, the remaining parking time value of the charging vehicle, and the remaining demand power value of the charging vehicle, so that the charging demand scheduling center can perform power transmission scheduling more reasonably and control the charging power of the charging pile more reasonably based on the maximum charging power value of the charging pile, the remaining parking time value of the charging vehicle, and the remaining demand power value.
In an embodiment of the present application, in the intelligent charging demand scheduling system, the charging demand scheduling center controls and adjusts the discharging power of the slow charging pile based on the maximum charging power value, the remaining parking time value, and the remaining demand power value, so as to optimize a load curve of a power distribution network, where the intended charging information includes an intended charging start time, an intended charging end time, and an intended charging amount.
In the above-described embodiment of the intelligent charging demand scheduling system, the charging pile control subsystem obtains the maximum charging power value of the charging pile, the remaining parking time value of the charging vehicle, and the remaining demand power value of the charging vehicle, so that the charging demand scheduling center can perform power transmission scheduling more reasonably and control the charging power of the charging pile more reasonably based on the maximum charging power value of the charging pile, the remaining parking time value of the charging vehicle, and the remaining demand power value.
It should be understood that although the various steps in the flow charts of fig. 2-6 are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least some of the steps in fig. 2-6 may include multiple sub-steps or multiple stages that are not necessarily performed at the same time, but may be performed at different times, and the order of performance of the sub-steps or stages is not necessarily sequential, but may be performed in turn or alternating with other steps or at least some of the sub-steps or stages of other steps.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
The technical features of the embodiments described above may be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the embodiments described above are not described, but should be considered as being within the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the claims. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. An intelligent charging demand scheduling system, comprising:
the charging pile control subsystem is in communication connection with a charging demand dispatching center and is used for acquiring real-time electric quantity information of a charging pile, real-time charging information of a charging vehicle and a maximum charging power value of the charging pile connected with the charging vehicle, and sending the real-time electric quantity information, the real-time charging information of the charging vehicle and the maximum charging power value of the charging pile to the charging demand dispatching center, wherein the charging pile comprises a quick charging pile and a slow charging pile; the traffic information acquisition system is in communication connection with the charging demand dispatching center and is used for acquiring real-time traffic information around the charging pile;
the interactive terminal is in communication connection with the charging demand scheduling center and is used for performing information interaction with the charging demand scheduling center based on charging demand information and intention charging information input by a user so as to obtain charging scheme information provided by the charging demand scheduling center to the interactive terminal, wherein the charging demand information comprises quick charging demand information and slow charging demand information, and the intention charging information comprises intention charging starting time, intention charging ending time and intention charging amount;
when the sum of the time equivalent costs of traffic channel blockage around the charging pile is smaller than or equal to a preset threshold value, the charging demand scheduling center forms the charging scheme information based on the acquired real-time electric quantity information of the charging pile, the real-time charging information of the charging vehicles, the maximum charging power value of the charging pile, the intention charging information, the real-time traffic information and the charging demand information so as to meet the charging demand of a user, wherein the charging scheme information comprises the number, the position information and the predicted queuing time of available fast charging piles and the position information of a slow charging pile capable of going to charge in real time.
2. The intelligent charging demand scheduling system of claim 1, wherein the sum of the time equivalent costs of congestion of traffic routes around the charging pile is:
wherein,
in order to fill the total number of poles,
is as follows
The total number of roads around each charging post,
for the time value of the electric vehicle user,
is composed of
At the first moment
Traffic flow of a road;
as the flow rate of the vehicle is
To (1) a
The temporal impedance of the road.
3. The intelligent charging demand scheduling system of claim 2, wherein the traffic flow is
To (1) a
Time impedance of a road
Calculated according to the following formula:
wherein,
as the flow rate of the vehicle is
To (1) a
Free travel time of a road;
as the flow rate of the vehicle is
To (1) a
The amount of traffic on a particular road is,
as the flow rate of the vehicle is
To (1) a
The actual traffic capacity of the strip road,
respectively are preset parameter values.
4. The intelligent charging demand scheduling system of any one of claims 1 to 3, wherein the charging demand scheduling center is configured to:
when the charging demand information is quick charging demand information, the charging demand scheduling center provides first charging scheme information to the interactive terminal based on the quick charging demand information, wherein the first charging scheme information comprises the number, the position information and the predicted queuing time of available quick charging piles;
and the charging demand dispatching center acquires suggested charging scheme information based on the intention charging information input by the user according to the first charging scheme information, the real-time electric quantity information of the charging pile and the real-time traffic information, wherein the intention charging information is acquired by the interactive terminal, and the suggested charging scheme information comprises position information of the quick-charging pile capable of going to charge in real time.
5. The intelligent charging demand scheduling system of any one of claims 1 to 3, wherein the charging demand scheduling center is configured to:
when the charging demand information is slow charging demand information, the charging demand scheduling center provides second charging scheme information to the interactive terminal based on the slow charging demand information, wherein the second charging scheme information comprises position information of a slow charging pile capable of going to charge in real time;
and the charging demand dispatching center controls and adjusts the discharging power of the slow charging pile based on the intention charging information input by the user according to the second charging scheme information, the real-time electric quantity information of the charging pile and the real-time traffic information, which are acquired by the interactive terminal, so as to optimize the load curve of the power distribution network.
6. The intelligent charging demand scheduling system of claim 5, wherein the charging demand scheduling center is configured to:
acquiring a historical load curve of the power distribution network and an expected charging curve of a charging vehicle;
and controlling and adjusting the discharging power of the slow charging pile based on the historical load curve and the expected charging curve and taking the lowest charging cost of the charging vehicle as a target so as to optimize the load curve of the power distribution network.
7. The intelligent charging demand scheduling system of any one of claims 1 to 3 wherein the charging post control subsystem is configured to:
acquiring real-time charging information of a charging vehicle, wherein the real-time charging information comprises a charging type, a charging starting time, a predicted charging ending time and a vehicle battery charge state;
and sending the real-time charging information to the charging demand dispatching center.
8. The intelligent charging demand scheduling system of claim 7, wherein the charging demand scheduling center sends the real-time charging information to the interactive terminal, so that a user can view the real-time charging information of the vehicle through the interactive terminal.
9. The intelligent charging demand scheduling system of any one of claims 1 to 3 wherein the charging post control subsystem is configured to:
acquiring the maximum charging power value of a charging pile connected with the charging vehicle;
acquiring a remaining parking time value and a remaining required electric quantity value of the charging vehicle;
and sending the maximum charging power value, the remaining parking time value and the remaining demand electric quantity value to the charging demand dispatching center.
10. The intelligent charging demand scheduling system of claim 9 wherein the charging demand scheduling center controls and adjusts the discharging power of the slow charging piles based on the maximum charging power value, the remaining parking time value and the remaining demand power value to optimize the load curve of the power distribution network.
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| CN111993946B (en) * | 2020-10-28 | 2021-02-02 | 中国测试技术研究院电子研究所 | Detection method and detection system for alternating current-direct current charging pile of electric automobile |
| CN113012460B (en) * | 2021-02-24 | 2022-03-11 | 华录智达科技股份有限公司 | Single-line bus charging control system and method |
| CN112907083B (en) * | 2021-02-24 | 2024-01-23 | 华录智达科技股份有限公司 | Multi-line bus charging control system and method |
| JP7410988B2 (en) * | 2022-02-04 | 2024-01-10 | 本田技研工業株式会社 | Charging control device and charging control method |
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