CN112234638A - Power grid peak regulation system and method based on load side intelligent charging pile cluster control - Google Patents

Power grid peak regulation system and method based on load side intelligent charging pile cluster control Download PDF

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Publication number
CN112234638A
CN112234638A CN202010957596.XA CN202010957596A CN112234638A CN 112234638 A CN112234638 A CN 112234638A CN 202010957596 A CN202010957596 A CN 202010957596A CN 112234638 A CN112234638 A CN 112234638A
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charging pile
charging
power
power grid
peak
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CN112234638B (en
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乔荣飞
王博
林祺蓉
瞿寒冰
林山
杨福
栾芳
刘博�
顾世龙
刘明君
延野
杨亚奇
秦铮
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State Grid Corp of China SGCC
Jinan Power Supply Co of State Grid Shandong Electric Power Co Ltd
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State Grid Corp of China SGCC
Jinan Power Supply Co of State Grid Shandong Electric Power Co Ltd
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    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/28Arrangements for balancing of the load in a network by storage of energy
    • H02J3/32Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
    • H02J3/322Arrangements for balancing of the load in a network by storage of energy using batteries with converting means the battery being on-board an electric or hybrid vehicle, e.g. vehicle to grid arrangements [V2G], power aggregation, use of the battery for network load balancing, coordinated or cooperative battery charging
    • 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
    • B60L53/64Optimising energy costs, e.g. responding to electricity rates
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J13/00Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
    • H02J13/00032Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/46Controlling of the sharing of output between the generators, converters, or transformers
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E60/00Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02TCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00Road transport of goods or passengers
    • Y02T10/60Other road transportation technologies with climate change mitigation effect
    • Y02T10/70Energy storage systems for electromobility, e.g. batteries
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02TCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00Road transport of goods or passengers
    • Y02T10/60Other road transportation technologies with climate change mitigation effect
    • Y02T10/7072Electromobility specific charging systems or methods for batteries, ultracapacitors, supercapacitors or double-layer capacitors
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02TCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T90/00Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02T90/10Technologies relating to charging of electric vehicles
    • Y02T90/12Electric charging stations
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02TCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T90/00Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02T90/10Technologies relating to charging of electric vehicles
    • Y02T90/16Information or communication technologies improving the operation of electric vehicles
    • Y02T90/167Systems integrating technologies related to power network operation and communication or information technologies for supporting the interoperability of electric or hybrid vehicles, i.e. smartgrids as interface for battery charging of electric vehicles [EV] or hybrid vehicles [HEV]
    • YGENERAL 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
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00Systems supporting electrical power generation, transmission or distribution
    • Y04S10/12Monitoring or controlling equipment for energy generation units, e.g. distributed energy generation [DER] or load-side generation
    • Y04S10/126Monitoring or controlling equipment for energy generation units, e.g. distributed energy generation [DER] or load-side generation the energy generation units being or involving electric vehicles [EV] or hybrid vehicles [HEV], i.e. power aggregation of EV or HEV, vehicle to grid arrangements [V2G]
    • YGENERAL 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
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00Systems supporting electrical power generation, transmission or distribution
    • Y04S10/14Energy storage units
    • YGENERAL 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
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S30/00Systems supporting specific end-user applications in the sector of transportation
    • Y04S30/10Systems supporting the interoperability of electric or hybrid vehicles
    • Y04S30/12Remote or cooperative charging
    • YGENERAL 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
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S30/00Systems supporting specific end-user applications in the sector of transportation
    • Y04S30/10Systems supporting the interoperability of electric or hybrid vehicles
    • Y04S30/14Details associated with the interoperability, e.g. vehicle recognition, authentication, identification or billing

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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 provides a power grid peak shaving system and a method based on load side intelligent charging pile cluster control, wherein the system comprises a power grid side and a load side; the load side is used for acquiring real-time state information of the charging pile cluster and application information of the intelligent charging terminal and uploading the real-time state information and the application information to the power grid side; the power grid side is used for determining the power of each charging pile in the economical charging mode according to the real-time state information of the charging pile cluster and the application information of the intelligent charging terminal, and further obtaining the peak-adjustable power of the charging pile cluster; and distributing the pull quota according to the adjustable peak power and the charging pile cluster calling sequence of the packet cycle in the form of the limited quantity or the limited power of each group, and issuing a distribution decision to the load side. Based on the system, an optimization method of power grid peak shaving is also provided. The method deeply excavates the potential of charging pile cluster charging on power grid peak regulation. The power grid comprehensively summarizes the whole grid load of a certain regional power grid, and the load side peak shaving of the charging pile cluster is realized through the charging pile cluster management system.

Description

Power grid peak regulation system and method based on load side intelligent charging pile cluster control
Technical Field
The invention belongs to the technical field of power systems, and particularly relates to a power grid peak shaving system and method based on load side intelligent charging pile cluster control.
Background
With the continuous expansion of the new energy grid-connected scale, the influence of a new energy output curve on a power grid tends to increase day by day, the photovoltaic output curve rapidly increases in partial time periods such as the morning partial time period, and the wind power is generated greatly during the continuous low-level period of the power grid load at night, and the situation that wind and light are abandoned due to the fact that the power grid does not have enough peak regulation capacity may occur. On the other hand, with the technical development of the electric vehicle related field, the battery capacity, the cruising ability and the operation index of the electric vehicle are continuously improved. Compared with a bicycle, the electric bicycle has a power assisting function. Compared with the traditional fuel oil automobile, the electric automobile has lower running cost per unit distance and is more environment-friendly under most conditions. Electric bicycles have been widely used in most areas of China, and the number of electric bicycles kept in the whole society is hundreds of millions. The sales volume and the holding volume of the electric automobile are also rapidly increased. At present, electric automobiles generally realize charging through charging piles and the like, the charging cost of electric bicycles for selecting charging piles is lower than that of direct charging of indoor civil electricity, and the charging amount and proportion of the electric bicycles for charging piles are increased year by year. However, the intelligent level of the charging pile is limited at present, and the influence on the balance of power output and fluctuation new energy consumption optimization of a power distribution network or even a large power grid is limited mainly aiming at the aspects of electric energy and electricity fee measurement and settlement and the like.
In a patent 'a control method based on charging station load real-time scheduling charging pile access', application number is 201711018969, an electric vehicle intelligent charging information platform is used as a carrier, real-time data and power load curve data such as transformer side output power of each cell, user side power load, charging station side output power and the like are collected and provided through an intelligent power distribution terminal, comprehensive calculation is carried out by combining data such as charging pile basic data and charging state and the like, schedulable load in the current time period and the maximum accessible charging quantity of charging piles in a unit charging station in a scheduling time period are calculated, and optimal distribution is carried out on the charging pile access quantity on each line. The key point of the patent application is that the maximum accessible load of the distribution network is controlled, so that the overload of a distribution network line or a transformer caused by the overlarge total charging power is prevented, and the vehicle is charged as soon as possible under the premise. But this patent scheme does not fill electric pile and does not study the optimal function of electric wire netting side peak regulation. In patent 'a method and system for regulating and controlling charging load of electric vehicle of power distribution network', application number 201911119972.1, an electric vehicle charging load regulation and control method and system which tend to be judged by a user is designed. Therefore, the user is guided to select the electric automobile with the allowance of load in the corresponding time period to carry out charging. The main problem of the patent solution is also that the dynamic mining of the grid and customer side equipment resources is not sufficient. Fig. 1 shows a charging method of a charging device in the prior art. Under most circumstances, the charging device of the electric vehicle is still in a relatively original real-time uninterrupted charging mode: the charging is carried out immediately after the charging is carried out, the charging is carried out slowly in a trickle mode after the charging is fully carried out, the charging is carried out in the trickle mode often in the load valley period at night, and the power supply capacity of the power grid load valley period cannot be effectively utilized. The existing charging method is more advanced in a reservation type charging mode, the mode is more flexible compared with real-time charging, charging overhead can be better reduced, and off-peak charging is realized. The existing reservation type charging mode starts charging according to the reserved time point, and only static real-time butt joint with a power grid load curve can be realized. The mode cannot realize real-time interconnection and dynamic response of a charging pile and a power grid load curve, particularly effective response to new energy large-scale grid connection volatility, and the reserved charging mode is a prototype of the intelligent charging control method.
The defects of the prior art are as follows: the dynamic load side dispatching potential of the charging pile on the power grid layer is not fully excavated, the electric vehicle in a single charging state can be regarded as a discontinuous load, the electric vehicle in a large-scale charging state can be regarded as an adjustable load, and the electric vehicle has great potential for stabilizing power grid fluctuation (such as wind power, photovoltaic and other fluctuating new energy output). The new energy distribution is dispersed, and the real-time output data of the new energy of the whole network or a certain region can be obtained only at a dispatching side. However, the existing charging pile is mainly based on a local low-voltage distribution network side, the reservation mode is mainly controlled by a clock, and practical connection with data of a dispatching side is not established. The existing charging scheme improves the peak-valley difference of a power grid and reduces the load rate of the power grid according to the formula: the daily load rate of the power grid is equal to daily average load/daily maximum load multiplied by 100%. The higher the power grid load rate is, the smaller the fluctuation of the representative power grid load curve is, and under the condition that the load demand is met, the power grid load rate is improved, so that the power generation capacity of the power grid can be more fully utilized, the power grid load prediction accuracy is higher, and the planning arrangement of the unit startup and shutdown is more reasonable. Most of the current charging piles are in a plug-and-play mode. Due to people's work and rest laws and charging site limitations (the charging site is not at home), electric vehicles often start charging after residents arrive at a work place in the morning or arrive at a garage or charging station after leaving home in the evening. The two periods are a rapid increase in the day and a late peak period, respectively. The charging cost of the user side is improved, and the existing reservation type charging pile only accounts for a small proportion. For the residents, due to convenience and worry about forgetting, charging is often selected at the parking site for the first time. In the case of a fixed peak-to-valley differential price, charging is uneconomical when the peak is selected if it is not an urgent need. For most electric automobiles or electric bicycles, the charging power gradually decreases with the increase of the storage capacity of the battery, and generally, the time from charging to substantially full charging only needs 4-6 hours. If charging is started at 18:00, the battery is substantially at full charge by 0: 00. But the period of 0: 00-6: 00 is just the load valley period and the electricity utilization economic period of the power grid. When the sensitivity of the user to the demand for the charging time period is not outstanding, the user is more apt to generate a differentiated demand between quick charging and cost reduction.
Disclosure of Invention
In order to solve the technical problem, the invention provides a power grid peak regulation system and method based on load side intelligent charging pile cluster control. Through the whole network load of gathering a certain regional electric wire netting synthetically, realize filling the load side peak shaving of electric pile cluster through filling electric pile cluster management system, increase whole network economy peak shaving ability, be favorable to promoting new forms of energy and absorb on a large scale, satisfy the user and charge the power consumption demand under economic mode.
In order to achieve the purpose, the invention adopts the following technical scheme:
the power grid peak regulation system based on load side intelligent charging pile cluster control comprises a power grid side and a load side;
the load side is used for acquiring real-time state information of the charging pile cluster and application information of the intelligent charging terminal and uploading the real-time state information and the application information to the power grid side;
the power grid side is used for determining the power of each charging pile in an economical charging mode according to the real-time state information of the charging pile cluster and the application information of the intelligent charging terminal, and further obtaining the peak-adjustable power of the charging pile cluster; and distributing the pull quota according to the limited quantity or limited power of each group by adopting a grouping and circulating charging pile cluster calling sequence according to the adjustable peak power of the charging pile cluster and the peak regulation requirement of the power grid side, and issuing a distribution decision to the load side.
Further, the load side comprises an external network cloud, a charging pile cluster and an intelligent terminal;
the external network cloud is respectively connected with the charging pile cluster and the intelligent terminal; the intelligent terminal management system is used for acquiring real-time state information and intelligent terminal application information of a charging pile cluster and issuing a working instruction to the charging pile cluster;
the intelligent terminal is used for obtaining the electricity consumption of the charging pile cluster and sending the charging pile working state instruction to the charging pile cluster.
Further, the work order includes start charging, pause, resume charging, terminate charging, and default.
Furthermore, the intelligent terminal comprises a charging pile intelligent terminal and an intelligent electric meter;
the charging pile intelligent terminal sends a charging pile working state instruction to the charging pile cluster through a wireless network, and simultaneously reports the charging power and state information of the charging pile cluster to an external network cloud;
the intelligent electric meter is used for measuring the electricity consumption of the charging pile cluster.
Further, the power grid side comprises an electric energy management system, an intelligent meter reading system, an intranet cloud and a charging pile cluster management system;
the internal network cloud is used for summarizing real-time state information and intelligent terminal application information acquired by the external network cloud, and performing information interaction with the charging pile cluster management system and the external network cloud;
the intelligent meter reading system is used for acquiring data of the intelligent electric meter and uploading the data to the power grid management system;
the charging pile cluster management system is used for determining the power of each charging pile in an economical charging mode according to real-time state information and application information acquired by an intranet cloud, further obtaining the peak-adjustable power of the charging pile cluster, and reporting the peak-adjustable power to the power grid management system in real time;
and the power grid management system distributes a pull-out quota according to the peak-adjustable power and the limited quantity or limited power of each group by adopting a grouping and circulating charging pile cluster calling sequence, issues a distribution decision to the charging pile cluster on the load side, and performs electric charge management and electric energy quality analysis according to the data of the intelligent electric meter.
Further, the power grid management system adopts an EMS energy management system.
Further, the method for determining the power of each charging pile in the economic charging mode according to the real-time state information and the application information acquired by the intranet cloud and further obtaining the peak-adjustable power of the charging pile cluster comprises the following steps:
Figure RE-GDA0002749813850000041
wherein, Δ PPile assembly (T)The sum of the peak regulation capacity of the charging pile cluster in the economic mode at the T moment in a certain area;
ΔPadjustable i (T)The peak regulation capacity of the charging pile cluster in the economic mode at the T moment in a certain area is obtained; and i is the charging pile number in the economic mode.
Further, the allocating, according to the adjustable peak power, a pull quota in the form of a limited number or a limited power per group by using a packet-cycle charging pile cluster calling order includes:
if the last historical peak shaving is that the Z-th peak shaving of the corresponding U group is located after the last historical peak shaving of the U group is finished, the maximum code of the corresponding participating charging pile is s, wherein U is more than or equal to 1 and less than or equal to s; then, in the Z +1 th peak regulation, the u +1 th group (1. ltoreq. u.ltoreq.s-1) or the 1 st group (u. s) is arranged first;
then, carrying out accumulation calculation on the total load of the charging piles participating in peak shaving; and if the target value is reached, the peak shaving of the power grid is realized.
Furthermore, the priority of the power grid peak regulation controlled by the charging pile cluster is lower than that of thermal power economic peak regulation and tie line economic peak regulation; the peak regulation is higher than the peak regulation which is uneconomical in thermal power and the peak regulation by abandoning wind and abandoning light.
The invention also provides a power grid peak regulation method based on the load side intelligent charging pile cluster control, which is realized by a power grid peak regulation system based on the load side intelligent charging pile cluster control and comprises the following steps:
the load side acquires real-time state information of the charging pile cluster and application information of the intelligent charging terminal and uploads the real-time state information and the application information to the power grid side;
the power grid side determines the power of each charging pile in an economical charging mode according to the real-time state information of the charging pile cluster and the application information of the intelligent charging terminal, and then the peak-adjustable power of the charging pile cluster is obtained;
and the power grid side distributes a pull quota according to the limited quantity or limited power of each group by adopting a grouping and circulating charging pile cluster calling sequence according to the adjustable peak power of the charging pile cluster and the peak regulation requirement of the power grid side, and sends a distribution decision to the load side.
The effect provided in the summary of the invention is only the effect of the embodiment, not all the effects of the invention, and one of the above technical solutions has the following advantages or beneficial effects:
the invention provides a power grid peak shaving system and a method based on load side intelligent charging pile cluster control, wherein the system comprises a power grid side and a load side; the load side is used for acquiring real-time state information of the charging pile cluster and application information of the intelligent charging terminal and uploading the real-time state information and the application information to the power grid side; the power grid side is used for determining the power of each charging pile in the economical charging mode according to the real-time state information of the charging pile cluster and the application information of the intelligent charging terminal, and further obtaining the peak-adjustable power of the charging pile cluster; and distributing the pull quota according to the limited quantity or limited power of each group by adopting a grouping and circulating charging pile cluster calling sequence according to the adjustable peak power of the charging pile cluster and the peak regulation requirement of the power grid side, and issuing a distribution decision to the load side. Based on the system, a power grid peak regulation method based on load side intelligent charging pile cluster control is also provided. The invention breaks through the bottleneck that the charging power of the existing electric charging pile is controlled only from the tail end distribution network line, further optimizes the economic charging mode on the existing basis, and deeply excavates the potential of cluster charging of the charging pile on the peak regulation of the power grid. The power grid comprehensively summarizes the whole grid load of a certain regional power grid, and the load side peak shaving of the charging pile cluster is realized through the charging pile cluster management system.
The invention increases the economic peak regulation capability of the whole network, and the peak regulation depth of the thermal power main power peak regulation unit is increased and the operation economy is reduced due to the large-scale integration of new energy with volatility, especially under the small mode of the power grid in the heating period in winter, on one hand, the starting scale of the thermal power unit is only about half of the unit, and the peak regulation capability is more limited due to the influence of heat supply. By the method, on the premise of meeting the charging requirements of users, the load and the peak regulation potential of the user side are fully excavated, the economic peak regulation capacity of the whole network is increased, and the deep peak regulation frequency and the ordered power utilization frequency of the user side of the thermal power generating unit are effectively reduced. The new energy can be promoted to be consumed on a larger scale, and the influence of the new energy on a power grid becomes obvious along with the large-scale access of the new energy. In the period of low load of the whole power grid or the period of insufficient peak regulation capacity of the power grid, if wind energy and photovoltaic are generated greatly or output is increased rapidly, the condition of wind abandoning and light abandoning can be caused. By the intelligent charging method, a load curve can be optimized according to the predicted conditions of new energy output in the daytime and in the ultra-short term, and the wind and light abandoning rate is reduced. The charging power demand of the user under the economic mode is met as far as possible, because the cluster charging of the electric vehicles is a dynamic process, under the condition that the peak regulation power total amount of the charging pile is limited, the charging current of the vehicles is gradually reduced to full charge along with the selection of a real-time uninterrupted mode, the economic mode is selected, and the charging pile equipment affected by the peak regulation can realize seamless access charging, so that the fluctuation of the charging total load of the regional electric vehicles is reduced, the average time affected by the peak regulation is shortened, and the charging demand of the user under the economic mode is met as far as possible.
Drawings
Fig. 1 is a schematic diagram illustrating charging of a charging device in the prior art;
fig. 2 is a schematic diagram of a power grid peak shaving system based on load-side intelligent charging pile cluster control in embodiment 1 of the present invention;
fig. 3 is a schematic diagram of load side information transmission according to embodiment 1 of the present invention;
fig. 4 is a schematic diagram of charging mode selection and charging target completion logic according to embodiment 1 of the present invention;
FIG. 5 is a schematic diagram illustrating peak shaving power distribution control in embodiment 1 of the present invention;
FIG. 6 is a schematic diagram showing the comparison between the peak shaving sequence of example 1 of the present invention and the peak shaving sequence of the prior art;
fig. 7 is a flowchart of a power grid peak shaving method based on load-side intelligent charging pile cluster control in embodiment 2 of the present invention.
Detailed Description
In order to clearly explain the technical features of the present invention, the following detailed description of the present invention is provided with reference to the accompanying drawings. The following disclosure provides many different embodiments, or examples, for implementing different features of the invention. To simplify the disclosure of the present invention, the components and arrangements of specific examples are described below. Furthermore, the present invention may repeat reference numerals and/or letters in the various examples. This repetition is for the purpose of simplicity and clarity and does not in itself dictate a relationship between the various embodiments and/or configurations discussed. It should be noted that the components illustrated in the figures are not necessarily drawn to scale. Descriptions of well-known components and processing techniques and procedures are omitted so as to not unnecessarily limit the invention.
Example 1
Embodiment 1 of the present invention provides a power grid peak shaving system and method based on load side intelligent charging pile cluster control, and fig. 2 is a schematic diagram of the power grid peak shaving system based on load side intelligent charging pile cluster control in embodiment 1 of the present invention. The system comprises a grid side and a load side.
And the load side is used for acquiring real-time state information of the charging pile cluster and application information of the intelligent charging terminal and uploading the information to the power grid side.
The power grid side is used for determining the power of each charging pile in the economical charging mode according to the real-time state information of the charging pile cluster and the application information of the intelligent charging terminal, and further obtaining the peak-adjustable power of the charging pile cluster; and distributing the pull quota according to the limited quantity or limited power of each group by adopting a grouping and circulating charging pile cluster calling sequence according to the adjustable peak power of the charging pile cluster and the peak regulation requirement of the power grid side, and issuing a distribution decision to the load side.
Fig. 3 is a schematic diagram of information transmission on a load side in embodiment 1 of the present invention, where the load side includes an extranet cloud, a charging pile cluster, and an intelligent terminal;
the external network cloud is respectively connected with the charging pile cluster and the intelligent terminal; the intelligent terminal management system is used for acquiring real-time state information and intelligent terminal application information of the charging pile cluster and issuing a working instruction to the charging pile cluster; the intelligent terminal is used for obtaining the electricity consumption of the charging pile cluster and sending the charging pile working state instruction to the charging pile cluster.
The extranet cloud system belongs to an extranet server and mainly comprises extranet database information: firstly, collecting information such as real-time charging power and charging state of a user side charging pile; and secondly, the intelligent charging terminal, the PC and the mobile terminal application information. The charging pile can perform information interaction with an intranet cloud, and send information such as charging starting, suspending, charging resuming, charging stopping and default to the charging pile side.
The intelligent terminal comprises a charging pile intelligent terminal and an intelligent ammeter; the charging pile intelligent terminal sends a charging pile working state instruction to the charging pile cluster through a wireless network, and simultaneously reports the charging power and state information of the charging pile cluster to an external network cloud; the intelligent electric meter is used for measuring the electricity consumption of the charging pile cluster. The intelligent terminal can directly control the charging pile to intelligently start/pause charging according to the charging instruction transmitted by the extranet cloud. The intelligent terminal can obtain power, voltage and current information from the intelligent electric meter side. Information is extracted through the intelligent electric meter, and a plurality of charging pile conditions are provided for one charging point. The charging point can be provided with a charging terminal to carry out information transmission and charging control on a plurality of charging piles.
The power grid side comprises an electric energy management system, an intelligent meter reading system, an intranet cloud and a charging pile cluster management system; the internal network cloud is used for summarizing the real-time state information and the intelligent terminal application information acquired by the external network cloud, and performing information interaction with the charging pile cluster management system and the external network cloud; the intelligent meter reading system is used for acquiring data of the intelligent electric meter and uploading the data to the power grid management system; the charging pile cluster management system is used for determining the power of each charging pile in an economical charging mode according to the real-time state information and the application information acquired by the intranet cloud, further obtaining the peak-adjustable power of the charging pile cluster, and reporting the peak-adjustable power to the power grid management system in real time; the power grid management system distributes a pull-out quota according to the limited quantity or limited power of each group by adopting a grouping and circulating charging pile cluster calling sequence according to the adjustable peak power of the charging pile cluster and the peak regulation requirement of the power grid side, issues a distribution decision to the charging pile cluster of the load side, and performs power charge management and power quality analysis according to the data of the intelligent electric meter.
At present, an Energy Management System (EMS) used for power dispatching is an Energy Management System (EMS). Mainly comprises a D5000 system and an OPEN3000 system. The electric energy management system is located in a server area, and has the main functions in the aspect of power grid supply and demand balance: traditional peak and frequency regulation, system voltage regulation, etc.
The intelligent meter reading system is located in three areas of the server, and the main function of the intelligent meter reading system is to upload data and charge pile states and the like to a terminal metering ammeter, so that work such as electric charge management and electric energy quality analysis is performed.
The charging pile cluster management system is located in three areas of the server, and has the main functions that the terminals collected by the four-area intranet cloud charge piles upload data, charge pile states, charge pile databases and the like to be collected, and load-side peak-adjustable real-time information or ultra-short-term (15 minutes or half hour) information is provided for the EMS system in one area. And acquiring the adjusted peak shaving information from the EMS system of the first area, performing distribution decision, and sending the peak shaving information to the Intranet cloud of the fourth area.
The power grid intranet cloud system is located in a server four area and mainly comprises intranet database information and carries out real-time (or ultra-short-term) information interaction with the three-area charging pile cluster management system and the extranet cloud.
Fig. 4 is a schematic diagram of charging mode selection and charging target completion logic according to embodiment 1 of the present invention. First, a real-time uninterrupted charging mode. Real-time uninterrupted charging is a fundamental function possessed by charging devices. This functionality means that real-time uninterrupted charging can be achieved in three cases: a. default mode. Part of users do not care about the selection of different charging modes, and are willing to select a real-time uninterrupted charging function under any condition; or the user charges quickly at a charging station, it is generally considered to reduce the charging time as well as the need to refuel at a gas station. b. The charging device is abnormal or the communication with the master station is interrupted. The function is similar to that of an elevator, namely the elevator can be ensured to stay at the first floor under the abnormal condition, and the charging device can be ensured to charge in a real-time uninterrupted mode under the conditions that the communication is interrupted and the charging metering device is normal. c. Real-time rated charge mode. This function is similar to the rated fueling function of a conventional gasoline station, i.e., requiring a rated charge, but not necessarily a full charge, stopping the charge when the limit is reached or the charge current reaches a trickle charge level.
Second, the economy mode, includes off-peak charging and rated charging. a. Basic economic mode: under this mode, the corresponding electric pile that fills only charges under two kinds of circumstances: charging to a trickle charge level during a valley time period; and in the off-peak time period, the intelligent terminal charges when issuing a charging instruction. Except for the two cases, the charging pile will not be charged. b. Economic rate charging mode: in the mode, on the basis of a basic economic mode, a user inputs the total price of the charging electric quantity. The charging facility charges when the intelligent terminal issues a charging instruction in an off-peak time period or a non-off-peak time period, and stops charging when the charging electric quantity reaches a total price or the charging current reaches a trickle charging level.
Third, mode preference setting can increase the number of times of operation if need reset every time, influences user experience and enthusiasm, and the user can set up own preference mode according to the preference of charging to promote user experience.
Taking a power grid in a certain area as an example, the real-time peak shaving requirement (namely the load change power of the power grid) required by the power grid at a certain moment is delta PGeneral assemblyThe main power peak regulation unit of thermal power, hydropower and the like can provide economic peak regulation power of delta PRegulating menstruationCan provide uneconomical peak shaving power of delta PRegulating natureThe regional tie line can provide peak shaving power of delta PJoint debuggingThe peak shaving logic according to the traditional peak shaving thought is as follows: preferential utilization of economic peak power Δ PRegulating menstruationPeak regulation power delta P of local tie lineJoint debuggingIf not, further invoking the non-economic peak shaver power delta PRegulating nature. With the enlargement of the new energy grid-connected scale, the proportion of calling the non-economic peak-shaving power is gradually increased, if the non-economic peak-shaving power is used, the requirement cannot be met, and at present, only a wind-abandoning and light-abandoning strategy can be adopted; and in part load peak period, orderly power utilization measures can be taken.
In the invention, the interruptible load delta P is based on the charging pile of the electric vehiclePile assemblyThe peak load regulation capacity is defined as the sum of the peak load regulation capacities that all the charging piles can provide interruptible load (the charging pile cluster with the economic mode is selected) at a certain time T in a certain area, namely the sum is
Figure RE-GDA0002749813850000101
Wherein, Δ PPile assembly (T)The sum of the peak regulation capacity of the charging pile cluster in the economic mode at the T moment in a certain area;
ΔPadjustable i (T)The peak regulation capacity of the charging pile cluster in the economic mode at the T moment in a certain area is obtained; and i is the charging pile number in the economic mode.
Taking a certain area a as an example, a single plug of each intelligent charging pile has a unique code c, the ith intelligent charging pile code is ci (code i), and the real-time charging power of each charging pile at the moment T is assumed to be Pci. The charging modes are m in total (the charging piles in different charging modes are selected to be x1, x2, … … and xm respectively), and the corresponding total charging work isThe ratio is sigma Px1、∑Px2、……、∑Pxm. Taking the five charging modes as an example herein, when m is 5, the 4 th and 5 th are eco-charging modes. The peak-tunable power of the charging pile cluster is as follows:
Figure RE-GDA0002749813850000102
after the system is confirmed, according to the set conditions, the load side peak regulation function of the charging pile cluster can be started manually or in a self-adaptive manner when the non-economic peak regulation power delta P is utilized for non-regulation and the peak regulation power delta P of the regional tie line is regulated for peak regulation and the peak regulation requirement can not be met.
In order to better guarantee fairness and prevent starting from a small-size section or a small-size group every time, and further avoid obvious influence on a local distribution network caused by too concentrated load control distribution. The calling sequence of the intelligent charging piles adopts a grouping circulation scheme, and a total y groups of peak-shaving charging piles are arranged according to an area or a superior substation, wherein the total number of the participating charging piles is n. The pull quota is allocated in the form of a defined number or a defined power per group.
The latest historical peak regulation is the z-th peak regulation, the maximum code of the corresponding charging pile participating in the z-th peak regulation is s, the charging pile corresponds to the u-th group (u is more than or equal to 1 and less than or equal to s), and when the peak regulation is carried out for the z +1 th time, the charging pile total load participating in the peak regulation is accumulated and calculated in the u + 1-th group (u is more than or equal to 1 and less than or equal to s-1) or the 1-th group (u is equal to s) to achieve the target value, namely the target is achieved. Fig. 5 is a schematic diagram of peak shaving power distribution control in embodiment 1 of the present invention. Wherein the peak shaving power of each stage (e.g., P1(u +1), P1(u +2), P2(u +1), etc.) should be similar in size or distributed according to the ratio of the total number of the loads in each group, i.e., P1(u +1) ≈ P1(u +2) ≈ P2(u +1) or P1(u +1)/P2(u +1) ≈ 1 and P1(u +1)/P1(u +2) ≈ P (u +1)/P (u + 2).
FIG. 6 is a schematic diagram showing the comparison between the peak shaving sequence of example 1 of the present invention and the peak shaving sequence of the prior art; in the invention, the priority setting of the charging pile cluster participating in peak shaving is lower than the main force peak shaving live-wire and main force peak shaving connecting line and higher than the priority of wind and light abandoning and ordered power utilization. Because under most circumstances, main power peak shaving ability can satisfy regional electric wire netting new forms of energy output volatility demand, should not start load side peak shaving by the electric pile cluster this moment.
Example 2
The invention further provides a power grid peak shaving method based on the load side intelligent charging pile cluster control, and fig. 7 is a flow chart of the power grid peak shaving method based on the load side intelligent charging pile cluster control in embodiment 2 of the invention.
In step S701, the load side acquires real-time status information of the charging pile cluster and application information of the intelligent charging terminal, and uploads the real-time status information and the application information to the power grid side.
In step S702, the power grid side determines the power of each charging pile in the economical charging mode according to the real-time state information of the charging pile cluster and the application information of the intelligent charging terminal, so as to obtain the peak-adjustable power of the charging pile cluster;
in step S702, the grid side allocates pull-out quotas in the form of a limited number or a limited power per group according to the adjustable peak power of the charging pile cluster and the peak shaving requirement of the grid side by using a packet-cycle charging pile cluster calling order, and issues an allocation decision to the load side.
Although the embodiments of the present invention have been described with reference to the accompanying drawings, the scope of the present invention is not limited thereto. Various modifications and alterations will occur to those skilled in the art based on the foregoing description. And are neither required nor exhaustive of all embodiments. On the basis of the technical scheme of the invention, various modifications or changes which can be made by a person skilled in the art without creative efforts are still within the protection scope of the invention.

Claims (10)

1. The power grid peak regulation system based on load side intelligent charging pile cluster control is characterized by comprising a power grid side and a load side;
the load side is used for acquiring real-time state information of the charging pile cluster and application information of the intelligent charging terminal and uploading the real-time state information and the application information to the power grid side;
the power grid side is used for determining the power of each charging pile in an economical charging mode according to the real-time state information of the charging pile cluster and the application information of the intelligent charging terminal, and further obtaining the peak-adjustable power of the charging pile cluster; and distributing a pull quota according to the adjustable peak power and a charging pile cluster calling sequence of packet circulation in the form of limited quantity or limited power of each group, and issuing a distribution decision to the load side.
2. The load side intelligent charging pile cluster control-based power grid peak shaving system according to claim 1, wherein the load side comprises an extranet cloud, a charging pile cluster and an intelligent terminal;
the external network cloud is respectively connected with the charging pile cluster and the intelligent terminal; the intelligent terminal management system is used for acquiring real-time state information and intelligent terminal application information of a charging pile cluster and issuing a working instruction to the charging pile cluster;
the intelligent terminal is used for obtaining the electricity consumption of the charging pile cluster and sending the charging pile working state instruction to the charging pile cluster.
3. The load-side intelligent charging pile cluster control-based power grid peak shaving system according to claim 2, wherein the work instructions comprise start charging, pause, resume charging, terminate charging and default.
4. The load-side intelligent charging pile cluster control-based power grid peak shaving system according to claim 2, wherein the intelligent terminals comprise a charging pile intelligent terminal and an intelligent electric meter;
the charging pile intelligent terminal sends a charging pile working state instruction to the charging pile cluster through a wireless network, and simultaneously reports the charging power and state information of the charging pile cluster to an external network cloud;
the intelligent electric meter is used for measuring the electricity consumption of the charging pile cluster.
5. The load side intelligent charging pile cluster control-based power grid peak shaving system according to claim 4, wherein the power grid side comprises an electric energy management system, an intelligent meter reading system, an intranet cloud and a charging pile cluster management system;
the internal network cloud is used for summarizing real-time state information and intelligent terminal application information acquired by the external network cloud, and performing information interaction with the charging pile cluster management system and the external network cloud;
the intelligent meter reading system is used for acquiring data of the intelligent electric meter and uploading the data to the power grid management system;
the charging pile cluster management system is used for determining the power of each charging pile in an economical charging mode according to real-time state information and application information acquired by an intranet cloud, further obtaining the peak-adjustable power of the charging pile cluster, and reporting the peak-adjustable power to the power grid management system in real time;
and the power grid management system distributes a pull-out quota according to the peak-adjustable power and the limited quantity or limited power of each group by adopting a grouping and circulating charging pile cluster calling sequence, issues a distribution decision to the charging pile cluster on the load side, and performs electric charge management and electric energy quality analysis according to the data of the intelligent electric meter.
6. The load-side intelligent charging pile cluster control-based power grid peak shaving system according to claim 5, wherein the power grid management system adopts an EMS energy management system.
7. The power grid peak regulation system based on load side intelligent charging pile cluster control according to claim 1, wherein the method for determining the power of each charging pile in the economic charging mode according to the real-time state information and the application information obtained by the intranet cloud, and further obtaining the peak-adjustable power of the charging pile cluster comprises the following steps:
Figure FDA0002677218510000021
wherein, Δ PPile assembly (T)The sum of the peak regulation capacity of the charging pile cluster in the economic mode at the T moment in a certain area;
ΔPadjustable i (T)The peak regulation capacity of the charging pile cluster in the economic mode at the T moment in a certain area is obtained; and i is the charging pile number in the economic mode.
8. The load-side intelligent charging pile cluster control-based power grid peak shaving system according to claim 7, wherein the allocating pull-out quotas in the form of a limited number or a limited power per group according to the adjustable peak power and a charging pile cluster calling sequence of packet circulation comprises:
if the last historical peak shaving is that the Z-th peak shaving of the corresponding U group is located after the last historical peak shaving of the U group is finished, the maximum code of the corresponding participating charging pile is s, wherein U is more than or equal to 1 and less than or equal to s; then, in the Z +1 th peak regulation, the u +1 th group (1. ltoreq. u.ltoreq.s-1) or the 1 st group (u. s) is arranged first;
then, carrying out accumulation calculation on the total load of the charging piles participating in peak shaving; and if the target value is reached, the peak shaving of the power grid is realized.
9. The load-side intelligent charging pile cluster control-based power grid peak shaving system according to claim 1, wherein the priority of the power grid peak shaving of the charging pile cluster control is lower than that of thermal power economic peak shaving and tie line economic peak shaving; the peak regulation is higher than the peak regulation which is uneconomical in thermal power and the peak regulation by abandoning wind and abandoning light.
10. The power grid peak shaving method based on load side intelligent charging pile cluster control is realized based on the power grid peak shaving system based on load side intelligent charging pile cluster control according to any one of claims 1 to 9, and is characterized by comprising the following steps of:
the load side acquires real-time state information of the charging pile cluster and application information of the intelligent charging terminal and uploads the real-time state information and the application information to the power grid side;
the power grid side determines the power of each charging pile in an economical charging mode according to the real-time state information of the charging pile cluster and the application information of the intelligent charging terminal, and then the peak-adjustable power of the charging pile cluster is obtained;
and the power grid side distributes a pull quota according to the limited quantity or limited power of each group by adopting a grouping and circulating charging pile cluster calling sequence according to the adjustable peak power of the charging pile cluster and the peak regulation requirement of the power grid side, and sends a distribution decision to the load side.
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