CN117040091B - Photovoltaic power generation and electric vehicle charging station linkage system, method and device - Google Patents

Photovoltaic power generation and electric vehicle charging station linkage system, method and device Download PDF

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Publication number
CN117040091B
CN117040091B CN202311303433.XA CN202311303433A CN117040091B CN 117040091 B CN117040091 B CN 117040091B CN 202311303433 A CN202311303433 A CN 202311303433A CN 117040091 B CN117040091 B CN 117040091B
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power
power generation
photovoltaic array
photovoltaic
energy storage
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CN202311303433.XA
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CN117040091A (en
Inventor
孟庆霖
葛磊蛟
王剑晓
靳小龙
罗凤章
李博通
赵金
药炜
刘�东
许良
孙京生
王瑞
刘春雨
孙继科
于宏宇
刘保安
王海伟
刘晓晶
保承家
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State Grid Corp of China SGCC
State Grid Tianjin Electric Power Co Ltd
Marketing Service Center of State Grid Tianjin Electric Power Co Ltd
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State Grid Corp of China SGCC
State Grid Tianjin Electric Power Co Ltd
Marketing Service Center of State Grid Tianjin Electric Power Co Ltd
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    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
    • H02J7/34—Parallel operation in networks using both storage and other dc sources, e.g. providing buffering
    • H02J7/35—Parallel operation in networks using both storage and other dc sources, e.g. providing buffering with light sensitive cells
    • 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
    • B60L53/50—Charging stations characterised by energy-storage or power-generation means
    • B60L53/51—Photovoltaic means
    • 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
    • B60L53/50—Charging stations characterised by energy-storage or power-generation means
    • B60L53/53—Batteries
    • 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
    • B60L53/63—Monitoring or controlling charging stations in response to network capacity
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10—Complex mathematical operations
    • G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
    • H02J7/0047—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries with monitoring or indicating devices or circuits
    • H02J7/0048—Detection of remaining charge capacity or state of charge [SOC]
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
    • H02J7/007—Regulation of charging or discharging current or voltage
    • H02J7/00712—Regulation of charging or discharging current or voltage the cycle being controlled or terminated in response to electric parameters
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02S—GENERATION OF ELECTRIC POWER BY CONVERSION OF INFRARED RADIATION, VISIBLE LIGHT OR ULTRAVIOLET LIGHT, e.g. USING PHOTOVOLTAIC [PV] MODULES
    • H02S50/00—Monitoring or testing of PV systems, e.g. load balancing or fault identification
    • H02S50/10—Testing of PV devices, e.g. of PV modules or single PV cells
    • H02S50/15—Testing of PV devices, e.g. of PV modules or single PV cells using optical means, e.g. using electroluminescence
    • 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
    • Y02T10/70—Energy storage systems for electromobility, e.g. batteries
    • 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
    • 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

Abstract

The invention discloses a linkage system, a method and a device for photovoltaic power generation and an electric vehicle charging station, which belong to the technical field of photovoltaic power generation and specifically comprise the following steps: sequentially adjusting illumination intensity, and recording the power generation power of the current photovoltaic array under any illumination intensity; collecting corresponding photovoltaic array power generation powers under different illumination intensities, marking the illumination intensities as illumination nodes when the power generation power of the photovoltaic array is at a rated maximum value, and fitting through a fitting function to generate a photovoltaic array power generation model; when the illumination intensity is larger than the illumination node, the automobile is charged through the photovoltaic array, and when the illumination intensity is smaller than the illumination node, the automobile is charged through the energy storage battery; storing the generated energy of the photovoltaic array in an energy storage battery when the energy storage battery is idle, acquiring the current corresponding photovoltaic power generation power through a model when the energy storage battery is required to charge an automobile, and supplementing the automobile charging power through the energy storage battery; the invention realizes reasonable utilization of photovoltaic power generation and automobile charging.

Description

Photovoltaic power generation and electric vehicle charging station linkage system, method and device
Technical Field
The invention relates to the technical field of photovoltaic power generation, in particular to a linkage system, a method and a device of photovoltaic power generation and an electric vehicle charging station.
Background
Photovoltaic power generation is a technology that converts light energy into electrical energy using solar energy. With the continuous development of renewable energy sources and the enhancement of environmental protection consciousness, photovoltaic power generation is receiving extensive attention and application as a clean and sustainable energy source. The electric automobile has the advantages of zero emission, low noise and the like as a novel transportation means, and has become an important development direction in the future transportation field. However, the charging problem of the electric automobile is still one of the main factors restricting the development of the electric automobile.
To address this problem, the concept of a photovoltaic power generation and electric vehicle charging station linkage system has been proposed. The system provides a reliable power source for the electric automobile by fully utilizing the advantages of photovoltaic power generation, and realizes effective charging of the electric automobile. Meanwhile, the system can store the redundant energy generated by the photovoltaic array into an energy storage battery for being needed from time to time.
However, existing photovoltaic power generation and electric vehicle charging station linkage systems have some problems. Firstly, the existing system cannot effectively utilize the energy of photovoltaic power generation under the condition of low illumination intensity, so that the utilization rate of the system is not high. Secondly, the distribution of the photovoltaic power generation power of the existing system under different illumination intensities is not flexible enough, and accurate adjustment cannot be performed according to actual requirements. In addition, the existing system lacks a coordination management mechanism between photovoltaic power generation power and electric automobile charging power, and optimal matching between the photovoltaic power generation power and the electric automobile charging power cannot be achieved.
Disclosure of Invention
The invention aims to provide a photovoltaic power generation and electric vehicle charging station linkage system, a photovoltaic power generation and electric vehicle charging station linkage method and a photovoltaic power generation and electric vehicle charging station linkage device, which solve the following technical problems:
firstly, the existing system cannot effectively utilize the energy of photovoltaic power generation under the condition of low illumination intensity, so that the utilization rate of the system is not high. Secondly, the distribution of the photovoltaic power generation power of the existing system under different illumination intensities is not flexible enough, and accurate adjustment cannot be performed according to actual requirements. In addition, the existing system lacks a coordination management mechanism between photovoltaic power generation power and electric automobile charging power, and optimal matching between the photovoltaic power generation power and the electric automobile charging power cannot be achieved.
The aim of the invention can be achieved by the following technical scheme:
photovoltaic power generation and electric automobile charging station linked system includes:
the data acquisition module is used for sequentially adjusting the illumination intensity of the test environment where the photovoltaic array is positioned, and recording the power generation power of the current photovoltaic array under any illumination intensity;
the data processing module is used for collecting the corresponding photovoltaic array power generation power under different illumination intensities, recording the illumination intensity at the moment and marking the illumination intensity as an illumination node when the power generation power of the photovoltaic array is at the rated maximum value, fitting the change relation of the photovoltaic array power generation power along with the illumination intensity through a fitting function, and generating a photovoltaic array power generation model;
the power distribution module is used for charging the automobile through the photovoltaic array when the illumination intensity is larger than the illumination node, and charging the automobile through the energy storage battery when the illumination intensity is smaller than the illumination node;
the battery management module is used for storing the generated energy of the photovoltaic array in the energy storage battery when the energy storage battery is idle, inputting the current illumination intensity into the photovoltaic array power generation model when the energy storage battery is required to charge the automobile, obtaining the corresponding photovoltaic power generation power, and supplementing the automobile charging power through the energy storage battery.
As a further scheme of the invention: in the battery management module, the automobile charging power is the rated maximum value of the photovoltaic array generating power.
As a further scheme of the invention: in the battery management module, the current photovoltaic power generation power P1 is obtained through the photovoltaic array power generation model, the rated maximum value of the power generation power is marked as Pmax, and then the discharge power Po=pmax-P1 of the energy storage battery.
As a further scheme of the invention: the process of obtaining the illumination node by the data processing module is as follows:
sequencing the illumination intensity of the test environment from small to large to obtain G 1 ，G 2 ，…，G n And obtain G 1 ，G 2 ，…，G n Photovoltaic array power generation P corresponding in sequence 1 ，P 2 ，…，P n A sequence, n is a positive integer;
sequentially accumulating and selecting photovoltaic array power generation power P 1 ，P 2 ，…，P n Data in the sequence and calculate the corresponding variance FC 1 ，FC 2 ，…，FC n ；
When P is selected n+1 At the time, P is calculated 1 ，P 2 ，…，P n+1 Variance FC of n+1 And calculate P 1 ，P 2 ，…，P n Variance FC of n ；
If FC is n+1 And FC (fiber channel) n If the difference value of (2) is larger than the preset threshold value, judging P n+1 For node value, obtain P n Corresponding G n Will G n Setting the illumination node; if FC is n+1 And FC (fiber channel) n If the difference value of (2) is smaller than the preset threshold value, the calculation is continued.
As a further scheme of the invention: the formula of the fitting function is as follows:
P=Pmax·exp(b(G-G 0 ) a )，G≥G 0 ；
wherein G represents the illumination intensity, G 0 The fitting function is only established when the illumination intensity is larger than or equal to the illumination node, P represents the power generated by the photovoltaic array, pmax represents the rated maximum value of the power generated, e is a natural constant, a and b are parameters, and a is smaller than 0, and b is larger than 0.
As a further scheme of the invention: transforming the fitting function into a linear function y=a+bx, then y=ln [ ln (Pmax/P)]，x=ln(G-G 0 ) A=ln (-B), b=a, and the values of a and B are calculated by the least square method.
As a further scheme of the invention: in the battery management module, when the stored electric quantity of the energy storage battery is lower than 10%, the energy storage battery stops transmitting electricity outwards, and the electric quantity of the power grid is directly called to charge the automobile.
As a further scheme of the invention: the charging protection module is used for monitoring the real-time electric quantity of the charged automobile in real time, and when the real-time electric quantity is greater than 90%, the energy storage battery is called to charge the automobile, and the charging power is reduced to 20% of the rated maximum value.
The linkage method of the photovoltaic power generation and the electric vehicle charging station comprises the following steps:
sequentially adjusting the illumination intensity of a test environment where the photovoltaic array is positioned, and recording the power generation power of the current photovoltaic array under any illumination intensity;
collecting corresponding photovoltaic array power generation powers under different illumination intensities, recording the illumination intensity at the moment and marking the illumination intensity as an illumination node when the power generation power of the photovoltaic array is at a rated maximum value, fitting the change relation of the photovoltaic array power generation power along with the illumination intensity through a fitting function, and generating a photovoltaic array power generation model;
when the illumination intensity is larger than the illumination node, the automobile is charged through the photovoltaic array, and when the illumination intensity is smaller than the illumination node, the automobile is charged through the energy storage battery;
and storing the generated energy of the photovoltaic array in the energy storage battery when the energy storage battery is idle, inputting the current illumination intensity into the photovoltaic array power generation model when the energy storage battery is required to charge the automobile, acquiring the corresponding photovoltaic power generation power, and supplementing the automobile charging power through the energy storage battery.
As a further scheme of the invention: and the automobile charging power is the rated maximum value of the photovoltaic array generating power.
As a further scheme of the invention: and acquiring the current photovoltaic power generation power P1 through the photovoltaic array power generation model, and marking the rated maximum value of the power generation power as Pmax, so that the discharge power Po=Pmax-P1 of the energy storage battery.
As a further scheme of the invention: the process of obtaining the illumination node is as follows:
the illumination intensity of the test environment is sequenced from small to large to obtainObtaining G 1 ，G 2 ，…，G n And obtain G 1 ，G 2 ，…，G n Photovoltaic array power generation P corresponding in sequence 1 ，P 2 ，…，P n A sequence, n is a positive integer;
sequentially accumulating and selecting photovoltaic array power generation power P 1 ，P 2 ，…，P n Data in the sequence and calculate the corresponding variance FC 1 ，FC 2 ，…，FC n ；
When P is selected n+1 At the time, P is calculated 1 ，P 2 ，…，P n+1 Variance FC of n+1 And calculate P 1 ，P 2 ，…，P n Variance FC of n ；
If FC is n+1 And FC (fiber channel) n If the difference value of (2) is larger than the preset threshold value, judging P n+1 For node value, obtain P n Corresponding G n Will G n Setting the illumination node; if FC is n+1 And FC (fiber channel) n If the difference value of (2) is smaller than the preset threshold value, the calculation is continued.
As a further scheme of the invention: the formula of the fitting function is as follows:
P=Pmax·exp(b(G-G 0 ) a )，G≥G 0 ；
wherein G represents the illumination intensity, G 0 The fitting function is only established when the illumination intensity is larger than or equal to the illumination node, P represents the power generated by the photovoltaic array, pmax represents the rated maximum value of the power generated, e is a natural constant, a and b are parameters, and a is smaller than 0, and b is larger than 0.
As a further scheme of the invention: transforming the fitting function into a linear function y=a+bx, then y=ln [ ln (Pmax/P)]，x=ln(G-G 0 ) A=ln (-B), b=a, and the values of a and B are calculated by the least square method.
As a further scheme of the invention: and when the stored electric quantity of the energy storage battery is lower than 10%, stopping outward transmission of electricity of the energy storage battery, and directly calling the electric quantity of the power grid to charge the automobile.
As a further scheme of the invention: and monitoring the real-time electric quantity of the charged automobile in real time, and when the real-time electric quantity is more than 90%, calling an energy storage battery to charge the automobile, wherein the charging power is reduced to 20% of the rated maximum value.
Photovoltaic power generation and electric automobile charging station aggregate unit includes:
the data acquisition mechanism is used for sequentially adjusting the illumination intensity of the test environment where the photovoltaic array is positioned, and recording the power generation power of the current photovoltaic array under any illumination intensity;
the data processing mechanism is used for collecting the corresponding photovoltaic array power generation power under different illumination intensities, recording the illumination intensity at the moment and marking the illumination intensity as an illumination node when the power generation power of the photovoltaic array is at the rated maximum value, fitting the change relation of the photovoltaic array power generation power along with the illumination intensity through a fitting function, and generating a photovoltaic array power generation model;
the power distribution mechanism is used for charging the automobile through the photovoltaic array when the illumination intensity is larger than the illumination node, and charging the automobile through the energy storage battery when the illumination intensity is smaller than the illumination node;
and the battery management mechanism is used for storing the generated energy of the photovoltaic array in the energy storage battery when the energy storage battery is idle, inputting the current illumination intensity into the photovoltaic array power generation model when the energy storage battery is required to charge the automobile, acquiring the corresponding photovoltaic power generation power, and supplementing the automobile charging power through the energy storage battery.
As a further scheme of the invention: in the battery management mechanism, the automobile charging power is the rated maximum value of the photovoltaic array generating power.
As a further scheme of the invention: in the battery management mechanism, the current photovoltaic power generation power P1 is obtained through the photovoltaic array power generation model, the rated maximum value of the power generation power is marked as Pmax, and then the discharge power Po=Pmax-P1 of the energy storage battery.
As a further scheme of the invention: the process of the data processing mechanism obtaining the illumination node is as follows:
sequencing the illumination intensity of the test environment from small to large to obtain G 1 ，G 2 ，…，G n And obtain G 1 ，G 2 ，…，G n Photovoltaic array power generation P corresponding in sequence 1 ，P 2 ，…，P n A sequence, n is a positive integer;
sequentially accumulating and selecting photovoltaic array power generation power P 1 ，P 2 ，…，P n Data in the sequence and calculate the corresponding variance FC 1 ，FC 2 ，…，FC n ；
When P is selected n+1 At the time, P is calculated 1 ，P 2 ，…，P n+1 Variance FC of n+1 And calculate P 1 ，P 2 ，…，P n Variance FC of n ；
If FC is n+1 And FC (fiber channel) n If the difference value of (2) is larger than the preset threshold value, judging P n+1 For node value, obtain P n Corresponding G n Will G n Setting the illumination node; if FC is n+1 And FC (fiber channel) n If the difference value of (2) is smaller than the preset threshold value, the calculation is continued.
As a further scheme of the invention: the formula of the fitting function is as follows:
P=Pmax·exp(b(G-G 0 ) a )，G≥G 0 ；
wherein G represents the illumination intensity, G 0 The fitting function is only established when the illumination intensity is larger than or equal to the illumination node, P represents the power generated by the photovoltaic array, pmax represents the rated maximum value of the power generated, e is a natural constant, a and b are parameters, and a is smaller than 0, and b is larger than 0.
As a further scheme of the invention: transforming the fitting function into a linear function y=a+bx, then y=ln [ ln (Pmax/P)]，x=ln(G-G 0 ) A=ln (-B), b=a, and the values of a and B are calculated by the least square method.
As a further scheme of the invention: in the battery management mechanism, when the stored electric quantity of the energy storage battery is lower than 10%, the energy storage battery stops transmitting electricity outwards, and the electric quantity of the power grid is directly called to charge the automobile.
As a further scheme of the invention: the charging protection mechanism is used for monitoring the real-time electric quantity of the charged automobile in real time, and when the real-time electric quantity is greater than 90%, the energy storage battery is called to charge the automobile, and the charging power is reduced to 20% of the rated maximum value.
The invention has the beneficial effects that:
the invention fully utilizes the advantages of photovoltaic power generation, and utilizes solar energy resources to the maximum extent by automatically adjusting the power generation power of the photovoltaic array, thereby improving the efficiency and the utilization rate of photovoltaic power generation; the photovoltaic power generation power can be automatically adjusted according to different illumination intensities, so that the accurate control and management of the photovoltaic power generation power are realized; and the optimal matching between the photovoltaic power generation and the charging power of the electric automobile is realized through fitting the function model, so that the comprehensive performance of the system is improved.
Drawings
The invention is further described below with reference to the accompanying drawings.
Fig. 1 is a flow chart of the photovoltaic power generation and electric vehicle charging station linkage method of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, the present invention is a linkage system, method and apparatus for photovoltaic power generation and electric vehicle charging station, comprising:
the data acquisition module is used for sequentially adjusting the illumination intensity of the test environment where the photovoltaic array is positioned, and recording the power generation power of the current photovoltaic array under any illumination intensity;
the data processing module is used for collecting the corresponding photovoltaic array power generation power under different illumination intensities, recording the illumination intensity at the moment and marking the illumination intensity as an illumination node when the power generation power of the photovoltaic array is at the rated maximum value, fitting the change relation of the photovoltaic array power generation power along with the illumination intensity through a fitting function, and generating a photovoltaic array power generation model;
the power distribution module is used for charging the automobile through the photovoltaic array when the illumination intensity is larger than the illumination node, and charging the automobile through the energy storage battery when the illumination intensity is smaller than the illumination node;
the battery management module is used for storing the generated energy of the photovoltaic array in the energy storage battery when the energy storage battery is idle, inputting the current illumination intensity into the photovoltaic array power generation model when the energy storage battery is required to charge the automobile, obtaining the corresponding photovoltaic power generation power, and supplementing the automobile charging power through the energy storage battery.
Existing photovoltaic power generation and electric vehicle charging station linkage systems have some problems. Firstly, the existing system cannot effectively utilize the energy of photovoltaic power generation under the condition of low illumination intensity, so that the utilization rate of the system is not high. Secondly, the distribution of the photovoltaic power generation power of the existing system under different illumination intensities is not flexible enough, and accurate adjustment cannot be performed according to actual requirements. In addition, the existing system lacks a coordination management mechanism between photovoltaic power generation power and electric automobile charging power, and optimal matching between the photovoltaic power generation power and the electric automobile charging power cannot be achieved.
The invention fully utilizes the advantages of photovoltaic power generation, and utilizes solar energy resources to the maximum extent by automatically adjusting the power generation power of the photovoltaic array, thereby improving the efficiency and the utilization rate of photovoltaic power generation; the photovoltaic power generation power can be automatically adjusted according to different illumination intensities, so that the accurate control and management of the photovoltaic power generation power are realized; and the optimal matching between the photovoltaic power generation and the charging power of the electric automobile is realized through fitting the function model, so that the comprehensive performance of the system is improved.
In another preferred embodiment of the present invention, in the battery management module, the vehicle charging power is a rated maximum value of the photovoltaic array generated power.
In another preferred embodiment of the present invention, in the battery management module, the current photovoltaic power P1 is obtained through the photovoltaic array power generation model, and the rated maximum value of the power generation is marked as Pmax, so that the discharge power po=pmax-P1 of the energy storage battery.
In another preferred embodiment of the present invention, the process of the data processing module obtaining the illumination node is:
sequencing the illumination intensity of the test environment from small to large to obtain G 1 ，G 2 ，…，G n And obtain G 1 ，G 2 ，…，G n Photovoltaic array power generation P corresponding in sequence 1 ，P 2 ，…，P n A sequence, n is a positive integer;
sequentially accumulating and selecting photovoltaic array power generation power P 1 ，P 2 ，…，P n Data in the sequence and calculate the corresponding variance FC 1 ，FC 2 ，…，FC n ；
When P is selected n+1 At the time, P is calculated 1 ，P 2 ，…，P n+1 Variance FC of n+1 And calculate P 1 ，P 2 ，…，P n Variance FC of n ；
If FC is n+1 And FC (fiber channel) n If the difference value of (2) is larger than the preset threshold value, judging P n+1 For node value, obtain P n Corresponding G n Will G n Setting the illumination node; if FC is n+1 And FC (fiber channel) n If the difference value of (2) is smaller than the preset threshold value, the calculation is continued.
In another preferred embodiment of the present invention, the formula of the fitting function is:
P=Pmax·exp(b(G-G 0 ) a )，G≥G 0 ；
wherein G represents the illumination intensity, G 0 The fitting function is only established when the illumination intensity is larger than or equal to the illumination node, P represents the power generated by the photovoltaic array, pmax represents the rated maximum value of the power generated, e is a natural constant, a and b are parameters, and a is smaller than 0, and b is larger than 0.
In another preferred embodiment of the invention, the fitting function is transformed into a linear function y=a+bx, then y=ln [ ln (Pmax/P)]，x=ln(G-G 0 ) A=ln (-B), b=a, and the values of a and B are calculated by the least square method.
In another preferred embodiment of the present invention, in the battery management module, when the stored power of the energy storage battery is lower than 10%, the energy storage battery stops transmitting power outwards, and the power grid power is directly invoked to charge the automobile.
In another preferred embodiment of the present invention, the vehicle charging system further comprises a charging protection module, wherein the charging protection module is used for monitoring the real-time electric quantity of the charged vehicle in real time, and when the real-time electric quantity is greater than 90%, the energy storage battery is called to charge the vehicle, and the charging power is reduced to 20% of the rated maximum value.
The linkage method of the photovoltaic power generation and the electric vehicle charging station comprises the following steps:
sequentially adjusting the illumination intensity of a test environment where the photovoltaic array is positioned, and recording the power generation power of the current photovoltaic array under any illumination intensity;
collecting corresponding photovoltaic array power generation powers under different illumination intensities, recording the illumination intensity at the moment and marking the illumination intensity as an illumination node when the power generation power of the photovoltaic array is at a rated maximum value, fitting the change relation of the photovoltaic array power generation power along with the illumination intensity through a fitting function, and generating a photovoltaic array power generation model;
when the illumination intensity is larger than the illumination node, the automobile is charged through the photovoltaic array, and when the illumination intensity is smaller than the illumination node, the automobile is charged through the energy storage battery;
and storing the generated energy of the photovoltaic array in the energy storage battery when the energy storage battery is idle, inputting the current illumination intensity into the photovoltaic array power generation model when the energy storage battery is required to charge the automobile, acquiring the corresponding photovoltaic power generation power, and supplementing the automobile charging power through the energy storage battery.
In another preferred embodiment of the present invention, the charging power of the automobile is the rated maximum value of the generated power of the photovoltaic array.
In another preferred embodiment of the present invention, the current photovoltaic power P1 is obtained through the photovoltaic array power generation model, and the rated maximum value of the power generation is marked as Pmax, so that the discharge power po=pmax-P1 of the energy storage battery.
In another preferred embodiment of the present invention, the process of obtaining the illumination node is:
sequencing the illumination intensity of the test environment from small to large to obtain G 1 ，G 2 ，…，G n And obtain G 1 ，G 2 ，…，G n Photovoltaic array power generation P corresponding in sequence 1 ，P 2 ，…，P n A sequence, n is a positive integer;
sequentially accumulating and selecting photovoltaic array power generation power P 1 ，P 2 ，…，P n Data in the sequence and calculate the corresponding variance FC 1 ，FC 2 ，…，FC n ；
When P is selected n+1 At the time, P is calculated 1 ，P 2 ，…，P n+1 Variance FC of n+1 And calculate P 1 ，P 2 ，…，P n Variance FC of n ；
If FC is n+1 And FC (fiber channel) n If the difference value of (2) is larger than the preset threshold value, judging P n+1 For node value, obtain P n Corresponding G n Will G n Setting the illumination node; if FC is n+1 And FC (fiber channel) n If the difference value of (2) is smaller than the preset threshold value, the calculation is continued.
In another preferred embodiment of the present invention, the formula of the fitting function is:
P=Pmax·exp(b(G-G 0 ) a )，G≥G 0 ；
wherein G represents the illumination intensity, G 0 The fitting function is only established when the illumination intensity is larger than or equal to the illumination node, P represents the power generated by the photovoltaic array, pmax represents the rated maximum value of the power generated, e is a natural constant, a and b are parameters, and a is smaller than 0, and b is larger than 0.
In another preferred embodiment of the invention, the fitting function is transformed into a linear function y=a+bx, then y=ln [ ln (Pmax/P)]，x=ln(G-G 0 ) A=ln (-B), b=a, and the values of a and B are calculated by the least square method.
In another preferred embodiment of the invention, when the stored electric quantity of the energy storage battery is lower than 10%, the energy storage battery stops transmitting electricity outwards, and the electric quantity of the power grid is directly called to charge the automobile.
In another preferred embodiment of the invention, the real-time electric quantity of the charged automobile is monitored in real time, when the real-time electric quantity is more than 90%, the energy storage battery is called to charge the automobile, and the charging power is reduced to 20% of the rated maximum value.
Photovoltaic power generation and electric automobile charging station aggregate unit includes:
the data acquisition mechanism is used for sequentially adjusting the illumination intensity of the test environment where the photovoltaic array is positioned, and recording the power generation power of the current photovoltaic array under any illumination intensity;
the data processing mechanism is used for collecting the corresponding photovoltaic array power generation power under different illumination intensities, recording the illumination intensity at the moment and marking the illumination intensity as an illumination node when the power generation power of the photovoltaic array is at the rated maximum value, fitting the change relation of the photovoltaic array power generation power along with the illumination intensity through a fitting function, and generating a photovoltaic array power generation model;
the power distribution mechanism is used for charging the automobile through the photovoltaic array when the illumination intensity is larger than the illumination node, and charging the automobile through the energy storage battery when the illumination intensity is smaller than the illumination node;
and the battery management mechanism is used for storing the generated energy of the photovoltaic array in the energy storage battery when the energy storage battery is idle, inputting the current illumination intensity into the photovoltaic array power generation model when the energy storage battery is required to charge the automobile, acquiring the corresponding photovoltaic power generation power, and supplementing the automobile charging power through the energy storage battery.
In another preferred embodiment of the present invention, in the battery management mechanism, the vehicle charging power is a rated maximum value of the photovoltaic array generated power.
In another preferred embodiment of the present invention, in the battery management mechanism, the current photovoltaic power generation power P1 is obtained through the photovoltaic array power generation model, and the rated maximum value of the power generation power is marked as Pmax, so that the discharge power po=pmax-P1 of the energy storage battery.
In another preferred embodiment of the present invention, the process of acquiring the illumination node by the data processing mechanism is:
sequencing the illumination intensity of the test environment from small to large to obtain G 1 ，G 2 ，…，G n And obtain G 1 ，G 2 ，…，G n Photovoltaic array power generation P corresponding in sequence 1 ，P 2 ，…，P n A sequence, n is a positive integer;
sequentially accumulating and selecting photovoltaic array power generation power P 1 ，P 2 ，…，P n Data in the sequence and calculate the corresponding variance FC 1 ，FC 2 ，…，FC n ；
When P is selected n+1 At the time, P is calculated 1 ，P 2 ，…，P n+1 Variance FC of n+1 And calculate P 1 ，P 2 ，…，P n Variance FC of n ；
If FC is n+1 And FC (fiber channel) n If the difference value of (2) is larger than the preset threshold value, judging P n+1 For node value, obtain P n Corresponding G n Will G n Setting the illumination node; if FC is n+1 And FC (fiber channel) n If the difference value of (2) is smaller than the preset threshold value, the calculation is continued.
In another preferred embodiment of the present invention, the formula of the fitting function is:
P=Pmax·exp(b(G-G 0 ) a )，G≥G 0 ；
wherein G represents the illumination intensity, G 0 The fitting function is only established when the illumination intensity is larger than or equal to the illumination node, P represents the power generated by the photovoltaic array, pmax represents the rated maximum value of the power generated, e is a natural constant, a and b are parameters, and a is smaller than 0, and b is larger than 0.
In another preferred embodiment of the invention, the fitting function is transformed into a linear function y=a+bx, then y=ln [ ln (Pmax/P)]，x=ln(G-G 0 ) A=ln (-B), b=a, and the values of a and B are calculated by the least square method.
In another preferred embodiment of the present invention, in the battery management mechanism, when the stored electric quantity of the energy storage battery is lower than 10%, the energy storage battery stops transmitting electricity outwards, and the electric quantity of the power grid is directly called to charge the automobile.
In another preferred embodiment of the present invention, the vehicle charging system further comprises a charging protection mechanism for monitoring the real-time electric quantity of the charged vehicle in real time, and when the real-time electric quantity is greater than 90%, the energy storage battery is called to charge the vehicle, and the charging power is reduced to 20% of the rated maximum value.
The foregoing describes one embodiment of the present invention in detail, but the description is only a preferred embodiment of the present invention and should not be construed as limiting the scope of the invention. All equivalent changes and modifications within the scope of the present invention are intended to be covered by the present invention.

Claims (24)

1. Photovoltaic power generation and electric automobile charging station linked system, its characterized in that includes:
the data acquisition module is used for sequentially adjusting the illumination intensity of the test environment where the photovoltaic array is positioned, and recording the power generation power of the current photovoltaic array under any illumination intensity;
the data processing module is used for collecting the corresponding photovoltaic array power generation power under different illumination intensities, recording the illumination intensity at the moment and marking the illumination intensity as an illumination node when the power generation power of the photovoltaic array is at the rated maximum value, fitting the change relation of the photovoltaic array power generation power along with the illumination intensity through a fitting function, and generating a photovoltaic array power generation model;
the power distribution module is used for charging the automobile through the photovoltaic array when the illumination intensity is larger than the illumination node, and charging the automobile through the energy storage battery when the illumination intensity is smaller than the illumination node;
the battery management module is used for storing the generated energy of the photovoltaic array in the energy storage battery when the energy storage battery is idle, inputting the current illumination intensity into the photovoltaic array power generation model when the energy storage battery is required to charge the automobile, obtaining the corresponding photovoltaic power generation power, and supplementing the automobile charging power through the energy storage battery.
2. The photovoltaic power generation and electric vehicle charging station linkage system of claim 1, wherein the vehicle charging power is the rated maximum of the photovoltaic array power generation power in the battery management module.
3. The photovoltaic power generation and electric vehicle charging station linkage system according to claim 2, wherein in the battery management module, the current photovoltaic power generation power P1 is obtained through the photovoltaic array power generation model, and the rated maximum value of the power generation power is marked as Pmax, so that the discharge power po=pmax-P1 of the energy storage battery.
4. The photovoltaic power generation and electric vehicle charging station linkage system of claim 3, wherein the process of the data processing module obtaining the illumination node is:
sequencing the illumination intensity of the test environment from small to large to obtain G 1 ，G 2 ，…，G n And obtain G 1 ，G 2 ，…，G n Photovoltaic array power generation P corresponding in sequence 1 ，P 2 ，…，P n A sequence, n is a positive integer;
sequentially accumulating and selecting photovoltaic array power generation power P 1 ，P 2 ，…，P n Data in the sequence and calculate the corresponding variance FC 1 ，FC 2 ，…，FC n ；
When P is selected n+1 At the time, P is calculated 1 ，P 2 ，…，P n+1 Variance FC of n+1 And calculate P 1 ，P 2 ，…，P n Variance FC of n ；
If FC is n+1 And FC (fiber channel) n If the difference value of (2) is larger than the preset threshold value, judging P n+1 For node value, obtain P n Corresponding G n Will G n Setting the illumination node; if FC is n+1 And FC (fiber channel) n If the difference value of (2) is smaller than the preset threshold value, the calculation is continued.
5. The photovoltaic power generation and electric vehicle charging station linkage system of claim 1, wherein the fitting function is formulated as:
P=Pmax·exp(b(G-G 0 ) a )，G≥G 0 ；
wherein G represents the illumination intensity, G 0 The fitting function is only established when the illumination intensity is larger than or equal to the illumination node, P represents the power generated by the photovoltaic array, pmax represents the rated maximum value of the power generated, e is a natural constant, a and b are parameters, and a is smaller than 0, and b is larger than 0.
6. The photovoltaic power generation and electric vehicle charging station linkage system of claim 5, wherein the fitting function is transformed into a linear function y=a+bx, then y=ln [ ln (Pmax/P)]，x=ln(G-G 0 ) A=ln (-B), b=a, and the values of a and B are calculated by the least square method.
7. The photovoltaic power generation and electric vehicle charging station linkage system of claim 1, wherein the battery management module stops the energy storage battery from transmitting power outwards when the stored power of the energy storage battery is less than 10%, and directly invokes the power grid power to charge the vehicle.
8. The photovoltaic power generation and electric vehicle charging station linkage system of claim 1, further comprising a charging protection module for monitoring real-time power of the charged vehicle in real time, wherein when the real-time power is greater than 90%, the energy storage battery is invoked to charge the vehicle and the charging power is reduced to 20% of the rated maximum.
9. The linkage method of the photovoltaic power generation and the electric vehicle charging station is characterized by comprising the following steps of:
sequentially adjusting the illumination intensity of a test environment where the photovoltaic array is positioned, and recording the power generation power of the current photovoltaic array under any illumination intensity;
collecting corresponding photovoltaic array power generation powers under different illumination intensities, recording the illumination intensity at the moment and marking the illumination intensity as an illumination node when the power generation power of the photovoltaic array is at a rated maximum value, fitting the change relation of the photovoltaic array power generation power along with the illumination intensity through a fitting function, and generating a photovoltaic array power generation model;
when the illumination intensity is larger than the illumination node, the automobile is charged through the photovoltaic array, and when the illumination intensity is smaller than the illumination node, the automobile is charged through the energy storage battery;
and storing the generated energy of the photovoltaic array in the energy storage battery when the energy storage battery is idle, inputting the current illumination intensity into the photovoltaic array power generation model when the energy storage battery is required to charge the automobile, acquiring the corresponding photovoltaic power generation power, and supplementing the automobile charging power through the energy storage battery.
10. The method of claim 9, wherein the vehicle charging power is the rated maximum of the photovoltaic array power.
11. The method according to claim 9, wherein the current photovoltaic power generation power P1 is obtained through the photovoltaic array power generation model, and the rated maximum value of the power generation power is marked as Pmax, and the discharge power po=pmax-P1 of the energy storage battery.
12. The method of claim 9, wherein the step of obtaining the illumination node is:
sequencing the illumination intensity of the test environment from small to large to obtain G 1 ，G 2 ，…，G n And obtain G 1 ，G 2 ，…，G n Photovoltaic array power generation P corresponding in sequence 1 ，P 2 ，…，P n A sequence, n is a positive integer;
sequentially accumulating and selecting photovoltaic array power generation power P 1 ，P 2 ，…，P n Data in the sequence and calculate the correspondingVariance FC 1 ，FC 2 ，…，FC n ；
When P is selected n+1 At the time, P is calculated 1 ，P 2 ，…，P n+1 Variance FC of n+1 And calculate P 1 ，P 2 ，…，P n Variance FC of n ；
If FC is n+1 And FC (fiber channel) n If the difference value of (2) is larger than the preset threshold value, judging P n+1 For node value, obtain P n Corresponding G n Will G n Setting the illumination node; if FC is n+1 And FC (fiber channel) n If the difference value of (2) is smaller than the preset threshold value, the calculation is continued.
13. The method of claim 9, wherein the fitting function is formulated as:
P=Pmax·exp(b(G-G 0 ) a )，G≥G 0 ；
wherein G represents the illumination intensity, G 0 The fitting function is only established when the illumination intensity is larger than or equal to the illumination node, P represents the power generated by the photovoltaic array, pmax represents the rated maximum value of the power generated, e is a natural constant, a and b are parameters, and a is smaller than 0, and b is larger than 0.
14. The method of claim 9, wherein the fitting function is transformed into a linear function y=a+bx, then y=ln [ ln (Pmax/P)]，x=ln(G-G 0 ) A=ln (-B), b=a, and the values of a and B are calculated by the least square method.
15. The method of claim 9, wherein when the stored power of the energy storage battery is less than 10%, stopping the energy storage battery from transmitting power outwards, and directly calling the power of the power grid to charge the vehicle.
16. The method of claim 9, wherein the real-time charge of the charged vehicle is monitored in real time, and when the real-time charge is greater than 90%, the energy storage battery is invoked to charge the vehicle, and the charging power is reduced to 20% of the rated maximum.
17. Photovoltaic power generation and electric automobile charging station aggregate unit, its characterized in that includes:
the data acquisition mechanism is used for sequentially adjusting the illumination intensity of the test environment where the photovoltaic array is positioned, and recording the power generation power of the current photovoltaic array under any illumination intensity;
the data processing mechanism is used for collecting the corresponding photovoltaic array power generation power under different illumination intensities, recording the illumination intensity at the moment and marking the illumination intensity as an illumination node when the power generation power of the photovoltaic array is at the rated maximum value, fitting the change relation of the photovoltaic array power generation power along with the illumination intensity through a fitting function, and generating a photovoltaic array power generation model;
the power distribution mechanism is used for charging the automobile through the photovoltaic array when the illumination intensity is larger than the illumination node, and charging the automobile through the energy storage battery when the illumination intensity is smaller than the illumination node;
and the battery management mechanism is used for storing the generated energy of the photovoltaic array in the energy storage battery when the energy storage battery is idle, inputting the current illumination intensity into the photovoltaic array power generation model when the energy storage battery is required to charge the automobile, acquiring the corresponding photovoltaic power generation power, and supplementing the automobile charging power through the energy storage battery.
18. The photovoltaic power generation and electric vehicle charging station linkage of claim 17, wherein the vehicle charging power is the rated maximum of the photovoltaic array generated power in the battery management mechanism.
19. The photovoltaic power generation and electric vehicle charging station linkage of claim 17, wherein the battery management mechanism obtains the current photovoltaic power generation power P1 through the photovoltaic array power generation model, and marks the rated maximum value of the power generation power as Pmax, and the discharge power po=pmax-P1 of the energy storage battery.
20. The photovoltaic power generation and electric vehicle charging station linkage of claim 17, wherein the process of the data processing mechanism obtaining the illumination node is:
sequencing the illumination intensity of the test environment from small to large to obtain G 1 ，G 2 ，…，G n And obtain G 1 ，G 2 ，…，G n Photovoltaic array power generation P corresponding in sequence 1 ，P 2 ，…，P n A sequence, n is a positive integer;
sequentially accumulating and selecting photovoltaic array power generation power P 1 ，P 2 ，…，P n Data in the sequence and calculate the corresponding variance FC 1 ，FC 2 ，…，FC n ；
When P is selected n+1 At the time, P is calculated 1 ，P 2 ，…，P n+1 Variance FC of n+1 And calculate P 1 ，P 2 ，…，P n Variance FC of n ；
If FC is n+1 And FC (fiber channel) n If the difference value of (2) is larger than the preset threshold value, judging P n+1 For node value, obtain P n Corresponding G n Will G n Setting the illumination node; if FC is n+1 And FC (fiber channel) n If the difference value of (2) is smaller than the preset threshold value, the calculation is continued.
21. The photovoltaic power generation and electric vehicle charging station linkage of claim 17, wherein the fitting function is formulated as:
P=Pmax·exp(b(G-G 0 ) a )，G≥G 0 ；
wherein G represents the illumination intensity, G 0 The fitting function is only established when the illumination intensity is larger than or equal to the illumination node, P represents the power generated by the photovoltaic array, pmax represents the rated maximum value of the power generated, e is a natural constant, a and b are parameters, and a is smaller than 0, and b is larger than 0.
22. The photovoltaic power generation and electric vehicle charging station linkage of claim 17, wherein the fitting function is transformed into a linear function y = a + Bx, then y = ln [ ln (Pmax/P)]，x=ln(G-G 0 ) A=ln (-B), b=a, and the values of a and B are calculated by the least square method.
23. The photovoltaic power generation and electric vehicle charging station linkage of claim 17, wherein the battery management mechanism stops the energy storage battery from transmitting power outwards when the stored power of the energy storage battery is less than 10%, and directly invokes the power grid power to charge the vehicle.
24. The photovoltaic power generation and electric vehicle charging station linkage of claim 17, further comprising a charging protection mechanism for monitoring the real-time charge of the charging vehicle in real time, and when the real-time charge is greater than 90%, invoking the energy storage battery to charge the vehicle and the charging power is reduced to 20% of the rated maximum.
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