CN116442837A - District parking lot ordered charging system and method based on electricity utilization peak period - Google Patents

District parking lot ordered charging system and method based on electricity utilization peak period Download PDF

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Publication number
CN116442837A
CN116442837A CN202310396655.4A CN202310396655A CN116442837A CN 116442837 A CN116442837 A CN 116442837A CN 202310396655 A CN202310396655 A CN 202310396655A CN 116442837 A CN116442837 A CN 116442837A
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China
Prior art keywords
charging
period
time
charging pile
user
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CN202310396655.4A
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Chinese (zh)
Inventor
李春盛
郑忠明
邵懂
赵海波
孟冬冬
汪静
潘华钧
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Zhejiang Yian Electric Power Electronic Technology Co ltd
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Zhejiang Yian Electric Power Electronic Technology Co ltd
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Priority to CN202310396655.4A priority Critical patent/CN116442837A/en
Publication of CN116442837A publication Critical patent/CN116442837A/en
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Classifications

    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60LPROPULSION 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
    • B60L53/00Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
    • B60L53/60Monitoring or controlling charging stations
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60LPROPULSION 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
    • B60L53/00Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
    • B60L53/30Constructional details of charging stations
    • B60L53/31Charging columns specially adapted for electric vehicles
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60LPROPULSION 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
    • B60L53/00Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
    • B60L53/60Monitoring or controlling charging stations
    • B60L53/62Monitoring or controlling charging stations in response to charging parameters, e.g. current, voltage or electrical charge
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60LPROPULSION 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
    • B60L53/00Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
    • B60L53/60Monitoring or controlling charging stations
    • B60L53/63Monitoring or controlling charging stations in response to network capacity
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60LPROPULSION 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
    • B60L53/00Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
    • B60L53/60Monitoring or controlling charging stations
    • B60L53/67Controlling two or more charging stations
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60LPROPULSION 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
    • B60L2270/00Problem solutions or means not otherwise provided for
    • B60L2270/20Inrush current reduction, i.e. avoiding high currents when connecting the battery

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  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Transportation (AREA)
  • Mechanical Engineering (AREA)
  • Charge And Discharge Circuits For Batteries Or The Like (AREA)

Abstract

The invention relates to an orderly charging system and method for a district parking lot based on electricity consumption peak period, wherein the system comprises a cloud server, charging piles, an intelligent gateway and a power grid access module, wherein the power grid access module is used for connecting the charging piles in the district parking lot with a power grid, the intelligent gateway is connected between the charging piles and the cloud server and used for sending data and state information of the charging piles to the cloud server, the cloud server is a central node of the system and used for monitoring the state and data information of each charging pile in real time and dynamically adjusting the charging power and the charging period of each charging pile according to the calculation results of load and peak period. According to the technical scheme, the impact of the charging piles on the power grid in the district parking lot can be reduced in an orderly charging mode in a period avoiding the peak period of electricity consumption, meanwhile, the charging requirement of the electric automobile can be met, the charging efficiency and the utilization rate of the electric automobile in the district are improved, and the living quality of households in the district is improved.

Description

District parking lot ordered charging system and method based on electricity utilization peak period
Technical Field
The invention relates to the technical field of charging control, in particular to a district parking lot ordered charging system and method based on electricity consumption peak period.
Background
With the popularization of electric vehicles, the demand of electric vehicle charging piles is continuously increasing. However, when the electric automobile is charged in the district parking lot, due to the factors of a large number of vehicles in the parking lot, a peak period of charging demand and the like, the power supply of the charging pile is often insufficient, and the normal charging and the use of the electric automobile are affected.
For this reason, some ordered charging systems have been proposed in the prior art, and by scheduling the electric vehicle charging piles, ordered charging of the electric vehicle is achieved, and impact on a power grid is reduced. However, the prior art mostly does not consider the contradiction between power supply and demand during peak electricity consumption, and still has a large impact on the power grid.
Disclosure of Invention
In order to solve the technical problems, a first object of the present invention is to provide an orderly charging system for a parking lot of a district based on a peak period of electricity consumption, which can efficiently and reasonably integrate the normal electricity consumption of the district and the charging requirement of an electric vehicle. The second object of the invention is to provide an orderly charging method for a district parking lot based on electricity consumption peak period.
In order to achieve the first object, the present invention adopts the following technical scheme:
the district parking area ordered charging system based on electricity consumption peak period comprises a cloud server, charging piles, an intelligent gateway and a power grid access module, wherein the power grid access module is used for connecting the charging piles in the district parking area with a power grid, the intelligent gateway is connected between the charging piles and the cloud server and used for sending data and state information of the charging piles to the cloud server, the cloud server is a central node of the system and used for monitoring the state and data information of each charging pile in real time and dynamically adjusting the charging power and the charging period of each charging pile according to the calculation results of loads and peak time periods.
The cloud server collects, stores and processes data uploaded by all sensors, analyzes the time period of the electricity utilization peak period in real time through machine learning and data analysis, and makes an ordered charging plan.
The charging pile controller is used for receiving a charging plan issued by the cloud server and controlling the charging pile to orderly charge the electric automobile according to the plan.
Preferably, the cloud server is further integrated with a user management system and a payment system.
In order to achieve the second object, the present invention adopts the following technical scheme:
the method for orderly charging the district parking lot based on the electricity consumption peak period adopts the system according to any one of the above steps, and comprises the following steps:
a) The charging pile in the district parking lot senses the charging requirement of the electric automobile in the parking lot in real time through the sensor equipment, and uploads the charging requirement data to the cloud server;
b) The cloud server analyzes and predicts the time period of the electricity consumption peak period through an algorithm, temporarily caches the charging request in the time period, and sets waiting time;
c) After the electricity consumption peak period is over, the cloud server makes a scheduling plan of the charging pile according to the cached charging request and waiting time, and issues planning information to the charging pile;
d) And the charging piles orderly charge the electric vehicles according to the dispatching plan, so that the electric vehicles are ensured to be charged as much as possible in a limited time.
Preferably, the scheduling of the charging pile in the step c includes the following steps:
assuming that N charging piles need to be charged orderly in a district parking lot, wherein the charging requirement of each charging pile is Q (i), i represents an ith charging pile, the time period needed to be charged is [ Tstart (i), tend (i) ], the current time is t, the peak period of district electricity consumption is [ Tpeak_start, tpeak_end ], the charging piles are reserved by M users, and the charging time period reserved by each user is [ Tstart (j), tend (j) ], wherein j represents a jth user;
the ordered charging algorithm formula is as follows:
1. initializing:
s= { i|tstart (i) <=t, t < Tend (i) } representing the set of charging piles currently available; e= { (j, Q (j))
Tstart (j) <=t, t < Tend (j) } representing the set of charging requirements currently reserved by the user;
2. sequencing E from big to small according to the charging requirement;
3. for each user j, find a charging stake i from the set S that satisfies the following conditions:
(a) Tstart (i) > = Tend (j) or Tend (i) < = Tstart (j), i.e. the use period of the charging pile and the charging period of the user do not overlap;
(b) Q (i) > =q (j), i.e., the remaining capacity of the charging pile is greater than or equal to the charging demand of the user;
(c) The service time period of the charging pile i cannot be in the peak period [ tpeak_start, tpeak_end ] of the cell power consumption;
if a satisfactory charging stake is found, it is removed from the set S and charging stake i is assigned to user j for charging.
Preferably, the scheduling of the charging pile in the step c further includes the following steps:
for the rest user requirements, if no charging pile meeting the conditions exists, waiting for the next time period; meanwhile, if the current time is in a cell electricity consumption peak period [ tpeak_start, tpeak_end ], the waiting period needs to avoid electricity consumption peaks, and charging is carried out in an electricity consumption valley period;
during waiting, the cloud server provides functions of real-time inquiry, reservation and the like of the service condition of the charging pile through a mobile phone App or other modes, so that a user can know the service condition of the charging pile and reserve charging at any time; meanwhile, setting a certain waiting time, and if an available charging pile can not be found within the waiting time, prompting a user to select other charging modes or select other time periods for charging; the method comprises the following specific steps:
(a) Let k=1, denote the current kth waiting period.
(b) The start time Tstart (k) and the end time Tend (k) of the next waiting period are calculated:
the current time t is not in the power consumption peak time periods [ tpeak_start, tpeak_end ], the starting time of the next waiting time period is t, and the ending time is t+1;
if the current time t is in the power consumption peak period [ tpeak_start, tpeak_end ], the starting time of the next waiting period is tpeak_end, and the ending time is tpeak_end+1;
(c) For sets S and E, charging stake i and user j satisfying the following conditions are retained in the set:
tstart (i) > = Tend (j) or Tend (i) < = Tstart (j), i.e. the use period of the charging pile and the charging period of the user cannot overlap;
q (i) > =q (j), i.e., the remaining capacity of the charging pile is greater than or equal to the charging demand of the user;
the service time period of the charging pile i cannot be in the peak period [ tpeak_start, tpeak_end ] of the cell power consumption;
(d) If no charging piles and no users meeting the conditions exist in the sets S and E, continuing to wait for the next time period, otherwise, executing the step (E);
(e) For the set E, sorting from big to small according to the charging requirement; for the set S, sorting from early to late according to the use time period;
(f) For each user j in the set E, finding out a charging pile i meeting the conditions from the set S for distribution, and removing the charging pile from the set S;
(g) If there is a remaining user demand in the set E, returning to the step (a) to continue waiting for the next time period;
by continuously cycling through steps (c) through (g) until all user requirements in set E are met, or a preset maximum wait time is exceeded, control ends.
Preferably, the scheduling of the charging pile in the step c further includes the following steps:
if a plurality of charging piles meeting the conditions exist for selection, the charging piles are distributed according to the following strategies:
for the charging piles in the set S, the charging pile with the earliest using time period is preferentially selected for distribution;
for users in the set E, the user with the largest charging requirement is preferentially selected for distribution;
and matching the charging piles in the set S and the users in the set E according to the principle of proximity of distance and position.
As a preferred scheme, the calculation mode of the ordered charging system of the charging piles of the district parking lot for the electricity load and the electricity peak time period can be realized by the following steps:
firstly, collecting current and voltage data of a power grid through a current sensor and a voltage sensor; then, calculating the electricity load of the power grid according to the current and voltage data; then, historical electricity consumption data are collected, statistical analysis is carried out on the historical electricity consumption data, and a sliding window technology is adopted, the average value and standard deviation of electricity consumption load are calculated, and the electricity consumption peak time period is determined through probability distribution; and finally, determining whether the current time period is a power consumption peak time period according to the statistical analysis result of the historical power consumption data, if so, starting an ordered charging system, otherwise, charging normally.
Compared with the prior art, the invention has the beneficial effects that:
according to the technical scheme, the impact of the charging piles on the power grid in the district parking lot can be reduced in an orderly charging mode in a period avoiding the peak period of electricity consumption, meanwhile, the charging requirement of the electric automobile can be met, the charging efficiency and the utilization rate of the electric automobile in the district are improved, and the living quality of households in the district is improved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiments of the application and together with the description serve to explain the application and do not limit the application.
FIG. 1 is a schematic flow chart of the method of the present invention;
Detailed Description
It should be noted that the following detailed description is illustrative and is intended to provide further explanation of the present application. 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.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments in accordance with the present application. As used herein, the singular is also intended to include the plural unless the context clearly indicates otherwise, and furthermore, it is to be understood that the terms "comprises" and/or "comprising" when used in this specification are taken to specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof.
Furthermore, in the description of the present invention, it should be understood that the terms "center," "longitudinal," "transverse," "length," "width," "thickness," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "clockwise," "counterclockwise," etc. indicate or are based on the orientation or positional relationship shown in the drawings, merely for convenience of description and to simplify the description, and do not indicate or imply that the devices or elements referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus should not be construed as limiting the invention.
Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include one or more such feature. In the description of the present invention, unless otherwise specified, the meaning of "a plurality" is two or more, unless otherwise clearly defined.
In the present invention, unless explicitly specified and limited otherwise, the terms "mounted," "connected," "secured," and the like are to be construed broadly and may be, for example, fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the above terms in the present invention can be understood by those of ordinary skill in the art according to the specific circumstances.
In the present invention, unless expressly stated or limited otherwise, a first feature "above" or "below" a second feature may include both the first and second features being in direct contact, as well as the first and second features not being in direct contact but being in contact with each other through additional features therebetween. Moreover, a first feature being "above," "over" and "on" a second feature includes the first feature being directly above and obliquely above the second feature, or simply indicating that the first feature is higher in level than the second feature. The first feature being "under", "below" and "beneath" the second feature includes the first feature being directly under and obliquely below the second feature, or simply means that the first feature is less level than the second feature.
The invention is further illustrated by the following examples in conjunction with the accompanying drawings:
the district parking area ordered charging system based on electricity consumption peak period comprises a cloud server, charging piles, an intelligent gateway and a power grid access module, wherein the power grid access module connects the charging piles in the district parking area with a power grid, the intelligent gateway is connected between the charging piles and the cloud server and sends data and state information of the charging piles to the cloud server, the cloud server is a central node of the system, the intelligent gateway is communicated with the charging piles through a self-defined protocol and is communicated with the cloud server through an MQTT protocol, and the data and state information of the charging piles are sent to the cloud server. Under the framework, the cloud server can monitor the state and data information of each charging pile in real time, and dynamically adjust the charging power and the charging period of each charging pile according to the calculation results of the load and the peak period, so that the ordered charging service of the charging piles of the district parking lot is realized.
The charging pile is used for orderly charging the electric automobile according to the dispatching plan, and the charging state and the charging progress can be displayed in real time through equipment such as a display screen.
The system further comprises a charging pile state sensor, a power grid load sensor and a charging pile reservation condition sensor, wherein the cloud server collects, stores and processes data uploaded by all the sensors, analyzes a time period of a power utilization peak period in real time through machine learning and data analysis, and makes an ordered charging plan.
The charging pile is characterized in that a charging pile controller is further arranged at the charging pile, and the charging pile controller receives a charging plan issued by the cloud server and controls the charging pile to orderly charge the electric automobile according to the charging plan. The cloud server is also integrated with a user management system and a payment system.
The method for orderly charging the district parking lot based on the electricity consumption peak period shown in fig. 1 adopts the system and comprises the following steps:
a) The charging pile in the district parking lot senses the charging requirement of the electric automobile in the parking lot in real time through the sensor equipment, and uploads the charging requirement data to the cloud server;
b) The cloud server analyzes and predicts the time period of the electricity consumption peak period through an algorithm, temporarily caches the charging request in the time period, and sets waiting time;
c) After the electricity consumption peak period is over, the cloud server makes a scheduling plan of the charging pile according to the cached charging request and waiting time, and issues planning information to the charging pile;
d) And the charging piles orderly charge the electric vehicles according to the dispatching plan, so that the electric vehicles are ensured to be charged as much as possible in a limited time.
The scheduling plan of the charging pile in the step c comprises the following steps:
assuming that N charging piles need to be charged orderly in a district parking lot, wherein the charging requirement of each charging pile is Q (i), i represents an ith charging pile, the time period needed to be charged is [ Tstart (i), tend (i) ], the current time is t, the peak period of district electricity consumption is [ Tpeak_start, tpeak_end ], the charging piles are reserved by M users, and the charging time period reserved by each user is [ Tstart (j), tend (j) ], wherein j represents a jth user;
the ordered charging algorithm formula is as follows:
1. initializing:
s= { i|tstart (i) <=t, t < Tend (i) } representing the set of charging piles currently available; e= { (j, Q (j)) |tstart (j) <=t, t < Tend (j) } representing the set of charging demands currently reserved by the user;
2. sequencing E from big to small according to the charging requirement;
3. for each user j, find a charging stake i from the set S that satisfies the following conditions:
(a) Tstart (i) > = Tend (j) or Tend (i) < = Tstart (j), i.e. the use period of the charging pile and the charging period of the user do not overlap;
(b) Q (i) > =q (j), i.e., the remaining capacity of the charging pile is greater than or equal to the charging demand of the user;
(c) The service time period of the charging pile i cannot be in the peak period [ tpeak_start, tpeak_end ] of the cell power consumption;
if a satisfactory charging stake is found, it is removed from the set S and charging stake i is assigned to user j for charging.
In addition, the scheduling of the charging pile in the step c further comprises the following steps:
for the rest user requirements, if no charging pile meeting the conditions exists, waiting for the next time period; meanwhile, if the current time is in a cell electricity consumption peak period [ tpeak_start, tpeak_end ], the waiting period needs to avoid electricity consumption peaks, and charging is carried out in an electricity consumption valley period;
during waiting, the cloud server provides functions of real-time inquiry, reservation and the like of the service condition of the charging pile through a mobile phone App or other modes, so that a user can know the service condition of the charging pile and reserve charging at any time; meanwhile, setting a certain waiting time, and if an available charging pile can not be found within the waiting time, prompting a user to select other charging modes or select other time periods for charging; the method comprises the following specific steps:
(a) Let k=1, denote the current kth waiting period.
(b) The start time Tstart (k) and the end time Tend (k) of the next waiting period are calculated:
the current time t is not in the power consumption peak time periods [ tpeak_start, tpeak_end ], the starting time of the next waiting time period is t, and the ending time is t+1;
if the current time t is in the power consumption peak period [ tpeak_start, tpeak_end ], the starting time of the next waiting period is tpeak_end, and the ending time is tpeak_end+1;
(c) For sets S and E, charging stake i and user j satisfying the following conditions are retained in the set:
tstart (i) > = Tend (j) or Tend (i) < = Tstart (j), i.e. the use period of the charging pile and the charging period of the user cannot overlap;
q (i) > =q (j), i.e., the remaining capacity of the charging pile is greater than or equal to the charging demand of the user;
the service time period of the charging pile i cannot be in the peak period [ tpeak_start, tpeak_end ] of the cell power consumption;
(d) If no charging piles and no users meeting the conditions exist in the sets S and E, continuing to wait for the next time period, otherwise, executing the step (E);
(e) For the set E, sorting from big to small according to the charging requirement; for the set S, sorting from early to late according to the use time period;
(f) For each user j in the set E, finding out a charging pile i meeting the conditions from the set S for distribution, and removing the charging pile from the set S;
(g) If there is a remaining user demand in the set E, returning to the step (a) to continue waiting for the next time period;
by continuously cycling through steps (c) through (g) until all user requirements in set E are met, or a preset maximum wait time is exceeded, control ends.
The scheduling plan of the charging pile in the step c further comprises the following steps: if a plurality of charging piles meeting the conditions exist for selection, the charging piles are distributed according to the following strategies:
for the charging piles in the set S, the charging pile with the earliest using time period is preferentially selected for distribution;
for users in the set E, the user with the largest charging requirement is preferentially selected for distribution;
and matching the charging piles in the set S and the users in the set E according to the principle of proximity of distance and position.
The calculation mode of the ordered charging system of the charging piles of the district parking lot for the electricity load and the electricity peak time period can be realized by the following steps:
firstly, collecting current and voltage data of a power grid through a current sensor and a voltage sensor; then, calculating the electricity load of the power grid according to the current and voltage data; then, historical electricity consumption data are collected, statistical analysis is carried out on the historical electricity consumption data, and a sliding window technology is adopted, the average value and standard deviation of electricity consumption load are calculated, and the electricity consumption peak time period is determined through probability distribution; and finally, determining whether the current time period is a power consumption peak time period according to the statistical analysis result of the historical power consumption data, if so, starting an ordered charging system, otherwise, charging normally.
The strategies in the method can be adjusted according to actual requirements so as to achieve the optimal charging effect. It should be noted that, when the charging pile is allocated, factors such as the electric quantity and the charging speed of the charging pile need to be considered, so as to ensure smooth implementation of the whole charging process. Meanwhile, in order to facilitate the charging of the user, the functions of real-time inquiry, reservation and the like of the service condition of the charging pile can be provided through a mobile phone App or other modes, so that the user can know the service condition of the charging pile and reserve charging at any time.
The core idea of the method is that the limitation of avoiding the peak period of the power consumption of the cell is added on the basis of the capacity of the charging pile and the charging time period, so that the power consumption of the cell is not influenced in the charging process. Meanwhile, the limitation of the use time period of the charging pile is also considered, and the use order of the charging pile is ensured.
In the description of the present specification, a description referring to terms "one embodiment," "some embodiments," "examples," "specific examples," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
Although embodiments of the present invention have been shown and described above, it will be understood that the above embodiments are illustrative and not to be construed as limiting the invention, and that variations, modifications, alternatives and variations may be made to the above embodiments by those skilled in the art without departing from the spirit and principles of the invention, and any simple modification, equivalent variation and modification of the above embodiments in light of the technical principles of the invention may be made within the scope of the present invention.

Claims (9)

1. The district parking area ordered charging system based on electricity consumption peak period is characterized by comprising a cloud server, charging piles, an intelligent gateway and a power grid access module, wherein the power grid access module is used for connecting the charging piles in the district parking area with a power grid, the intelligent gateway is connected between the charging piles and the cloud server and used for sending data and state information of the charging piles to the cloud server, the cloud server is a central node of the system and used for monitoring the state and data information of each charging pile in real time and dynamically adjusting the charging power and the charging period of each charging pile according to the calculation results of load and peak time period.
2. The ordered charging system for the district parking lot based on the electricity utilization peak period according to claim 1, further comprising a charging pile state sensor, a power grid load sensor and a charging pile reservation condition sensor, wherein the cloud server collects, stores and processes data uploaded by all the sensors, analyzes the time period of the electricity utilization peak period in real time through machine learning and data analysis, and makes an ordered charging plan.
3. The ordered charging system of the district parking lot based on the electricity utilization peak period according to claim 1, wherein a charging pile controller is further arranged at the charging pile, and the charging pile controller receives a charging plan issued by the cloud server and controls the charging pile to sequentially charge the electric automobile according to the plan.
4. The electricity peak period based ordered charging system for district parking lots of claim 1 wherein the cloud server is further integrated with a user management system and a payment system.
5. A method for orderly charging a parking lot in a district based on peak electricity consumption, comprising the steps of:
a) The charging pile in the district parking lot senses the charging requirement of the electric automobile in the parking lot in real time through the sensor equipment, and uploads the charging requirement data to the cloud server;
b) The cloud server analyzes and predicts the time period of the electricity consumption peak period through an algorithm, temporarily caches the charging request in the time period, and sets waiting time;
c) After the electricity consumption peak period is over, the cloud server makes a scheduling plan of the charging pile according to the cached charging request and waiting time, and issues planning information to the charging pile;
d) And the charging piles orderly charge the electric vehicles according to the dispatching plan, so that the electric vehicles are ensured to be charged as much as possible in a limited time.
6. The ordered charging method for the district parking lot based on the peak period of electricity consumption according to claim 5, wherein the scheduling of the charging piles in the step c comprises the following steps:
assuming that N charging piles need to be charged orderly in a district parking lot, wherein the charging requirement of each charging pile is Q (i), i represents an ith charging pile, the time period needed to be charged is [ Tstart (i), tend (i) ], the current time is t, the peak period of district electricity consumption is [ Tpeak_start, tpeak_end ], the charging piles are reserved by M users, and the charging time period reserved by each user is [ Tstart (j), tend (j) ], wherein j represents a jth user;
the ordered charging algorithm formula is as follows:
1. initializing:
s= { i|tstart (i) <=t, t < Tend (i) } representing the set of charging piles currently available; e= { (j, Q (j)) |tstart (j) <=t, t < Tend (j) } representing the set of charging demands currently reserved by the user;
2. sequencing E from big to small according to the charging requirement;
3. for each user j, find a charging stake i from the set S that satisfies the following conditions:
(a) Tstart (i) > = Tend (j) or Tend (i) < = Tstart (j), i.e. the use period of the charging pile and the charging period of the user do not overlap;
(b) Q (i) > =q (j), i.e., the remaining capacity of the charging pile is greater than or equal to the charging demand of the user;
(c) The service time period of the charging pile i cannot be in the peak period [ tpeak_start, tpeak_end ] of the cell power consumption;
if a satisfactory charging stake is found, it is removed from the set S and charging stake i is assigned to user j for charging.
7. The ordered charging method for the parking lot based on the peak period of electricity consumption according to claim 6, wherein the scheduling of the charging piles in the step c further comprises the following steps:
for the rest user requirements, if no charging pile meeting the conditions exists, waiting for the next time period; meanwhile, if the current time is in a cell electricity consumption peak period [ tpeak_start, tpeak_end ], the waiting period needs to avoid electricity consumption peaks, and charging is carried out in an electricity consumption valley period;
during waiting, the cloud server provides functions of real-time inquiry, reservation and the like of the service condition of the charging pile through a mobile phone App or other modes, so that a user can know the service condition of the charging pile and reserve charging at any time; meanwhile, setting a certain waiting time, and if an available charging pile can not be found within the waiting time, prompting a user to select other charging modes or select other time periods for charging; the method comprises the following specific steps:
(a) Let k=1, denote the current kth waiting period.
(b) The start time Tstart (k) and the end time Tend (k) of the next waiting period are calculated:
the current time t is not in the power consumption peak time periods [ tpeak_start, tpeak_end ], the starting time of the next waiting time period is t, and the ending time is t+1;
if the current time t is in the power consumption peak period [ tpeak_start, tpeak_end ], the starting time of the next waiting period is tpeak_end, and the ending time is tpeak_end+1;
(c) For sets S and E, charging stake i and user j satisfying the following conditions are retained in the set:
tstart (i) > = Tend (j) or Tend (i) < = Tstart (j), i.e. the use period of the charging pile and the charging period of the user cannot overlap;
q (i) > =q (j), i.e., the remaining capacity of the charging pile is greater than or equal to the charging demand of the user;
the service time period of the charging pile i cannot be in the peak period [ tpeak_start, tpeak_end ] of the cell power consumption;
(d) If no charging piles and no users meeting the conditions exist in the sets S and E, continuing to wait for the next time period, otherwise, executing the step (E);
(e) For the set E, sorting from big to small according to the charging requirement; for the set S, sorting from early to late according to the use time period;
(f) For each user j in the set E, finding out a charging pile i meeting the conditions from the set S for distribution, and removing the charging pile from the set S;
(g) If there is a remaining user demand in the set E, returning to the step (a) to continue waiting for the next time period;
by continuously cycling through steps (c) through (g) until all user requirements in set E are met, or a preset maximum wait time is exceeded, control ends.
8. The ordered charging method for a parking lot based on a peak period of electricity consumption according to claim 6 or 7, wherein the scheduling of the charging piles in the step c further comprises the steps of:
if a plurality of charging piles meeting the conditions exist for selection, the charging piles are distributed according to the following strategies:
for the charging piles in the set S, the charging pile with the earliest using time period is preferentially selected for distribution;
for users in the set E, the user with the largest charging requirement is preferentially selected for distribution;
and matching the charging piles in the set S and the users in the set E according to the principle of proximity of distance and position.
9. The ordered charging method for the district parking lot based on the electricity utilization peak period according to claim 5, wherein the calculation mode of the ordered charging system for the electricity utilization load and the electricity utilization peak period can be realized by the following steps:
firstly, collecting current and voltage data of a power grid through a current sensor and a voltage sensor; then, calculating the electricity load of the power grid according to the current and voltage data; then, historical electricity consumption data are collected, statistical analysis is carried out on the historical electricity consumption data, and a sliding window technology is adopted, the average value and standard deviation of electricity consumption load are calculated, and the electricity consumption peak time period is determined through probability distribution; and finally, determining whether the current time period is a power consumption peak time period according to the statistical analysis result of the historical power consumption data, if so, starting an ordered charging system, otherwise, charging normally.
CN202310396655.4A 2023-04-10 2023-04-10 District parking lot ordered charging system and method based on electricity utilization peak period Pending CN116442837A (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116691414A (en) * 2023-08-03 2023-09-05 国网安徽省电力有限公司合肥供电公司 Ordered charging service intelligent monitoring management system based on minute-level acquisition
CN117681714A (en) * 2023-12-26 2024-03-12 湖南省舟际智控电气科技有限公司 Cell reservation charging and power intelligent distribution management system

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116691414A (en) * 2023-08-03 2023-09-05 国网安徽省电力有限公司合肥供电公司 Ordered charging service intelligent monitoring management system based on minute-level acquisition
CN116691414B (en) * 2023-08-03 2023-10-31 国网安徽省电力有限公司合肥供电公司 Ordered charging service intelligent monitoring management system based on minute-level acquisition
CN117681714A (en) * 2023-12-26 2024-03-12 湖南省舟际智控电气科技有限公司 Cell reservation charging and power intelligent distribution management system

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