CN111969629B - Regional power load scheduling method - Google Patents
Regional power load scheduling method Download PDFInfo
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- CN111969629B CN111969629B CN202010831142.8A CN202010831142A CN111969629B CN 111969629 B CN111969629 B CN 111969629B CN 202010831142 A CN202010831142 A CN 202010831142A CN 111969629 B CN111969629 B CN 111969629B
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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
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/28—Arrangements for balancing of the load in a network by storage of energy
- H02J3/32—Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
- H02J3/322—Arrangements 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
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- Charge And Discharge Circuits For Batteries Or The Like (AREA)
- Supply And Distribution Of Alternating Current (AREA)
Abstract
The invention discloses a regional power load scheduling method, which comprises the following steps: fitting a future power load curve of the region through national grid data; acquiring historical power utilization conditions of regional electric automobile users through data acquired by the charging piles of the regional V2G; according to the future regional power load curve and the historical power utilization condition of regional electric vehicle users, providing power utilization reports of the electric vehicle users and issuing the power utilization reports to the client; and the electric automobile user obtains the electricity utilization report through the client and performs charging and discharging of the electric automobile according to the optimal time period in the user utilization report. According to the invention, the power utilization pressure is reduced by scheduling control of the power utilization of the electric automobile, and the electric automobile can be used as an energy storage device for regulating and controlling the load, so that peak clipping and valley filling of the power utilization load are realized, and the operation efficiency and reliability of a power grid are improved.
Description
Technical Field
The invention relates to a regional power load scheduling method.
Background
With the vigorous development of the electric automobile industry and the continuous increase of energy crisis, the energy storage performance and flexibility of the electric automobile are more and more emphasized by people. As is known, the regulation and control of the power grid are very fragile works, and as a result, the power consumption of users with huge quantities in the power grid changes suddenly, and compared with the capacity of the power grid, the power plants with limited quantities in the power grid show a curve change close to smoothness, and no matter the power plants are arranged in a row or disconnected in a row, the power plants all show a step change. The change can generate certain impact on the power grid, and in severe cases, the power grid can generate out-of-step oscillation. When such out-of-step oscillations are strong to some extent, it may cause the plant to trip. The tripping operation causes the power supply gap to be enlarged, so that more severe oscillation is caused, like a series of dominoes collapse, the power supply loss section is increased, the power failure range is rapidly enlarged, and finally the power failure range is possibly enlarged to the extent that the dispatching cannot be controlled. The electric vehicle is used as a movable large-scale battery and can contribute to the stable and normal operation of a power grid. Studies have shown that small electric vehicles (including pure electric vehicles and hybrid electric vehicles) for personal use travel only about 10% of the total time (which can be understood as 24 hours a day), with 90% of the time before and after the stop time. If the 90% of the time is accessed to the power grid, the battery resources of the electric automobile can be fully utilized, and the burden of the automobile owner can be reduced. Therefore, the electric vehicle as a 'movable large battery' can contribute to the stable and normal operation of the power grid.
Disclosure of Invention
The technical problem to be solved by the invention is to overcome the defects of the prior art and provide a regional power load dispatching method, which reduces the power consumption pressure by scheduling and controlling the power consumption of an electric vehicle, can use the electric vehicle as an energy storage device for regulating and controlling the load, realizes peak clipping and valley filling of the power consumption load, and improves the operation efficiency and reliability of a power grid.
In order to solve the technical problems, the technical scheme of the invention is as follows: a regional power load scheduling method comprises the following steps:
fitting a future power load curve of the region through national grid data;
acquiring historical power utilization conditions of regional electric automobile users through data acquired by the charging piles of the regional V2G;
according to the future regional power load curve and the historical power utilization condition of regional electric vehicle users, providing power utilization reports of the electric vehicle users and issuing the power utilization reports to the client;
and the electric automobile user obtains the electricity utilization report through the client and performs charging and discharging of the electric automobile according to the optimal time period in the user utilization report.
Further, in order to make the future power load curve of the region accurate and the power utilization report more reasonable, the method further comprises the following steps:
and adjusting the fitted region future electricity load curve and the electricity utilization report through the use data returned by the electric vehicle user.
Further, the platform fits a future power load curve of the region through national grid data;
the platform acquires historical power utilization conditions of regional electric automobile users through data acquired by the charging piles of V2G in the region;
the platform gives the electricity utilization reports of all electric vehicle users according to the future regional electricity load curve and the historical electricity utilization conditions of the regional electric vehicle users and sends the electricity utilization reports to the client;
the platform adjusts the fitted region future power load curve and the power utilization report through the use data returned by the electric vehicle user to the client.
Further, the method for fitting the future electric load curve of the region in a plurality of days in the future through national grid data comprises the following steps:
acquiring historical electricity utilization data of users in a region from a national network, and drawing a region historical electricity utilization load curve according to the historical electricity utilization data;
and fitting a future electric load curve of the region according to the historical electric load curve of the region.
Further, the historical electricity usage data includes single-day electricity usage data for at least fifteen days.
Further, the method for acquiring the historical electricity utilization condition of the regional electric automobile user through the data acquired by the V2G electricity utilization piles in the region comprises the following steps:
acquiring the battery capacity and the battery state of each electric automobile through a battery detection system of the V2G charging pile;
the power utilization condition and the charging condition of the electric automobile user in at least fifteen days in the past in the data acquisition area accessed by the charging pile through the V2G.
The daily average power consumption and daily charging time period of each electric automobile are obtained by counting the power consumption and charging of electric automobile users in at least fifteen days in the past.
Further, the method for providing the electricity utilization report of each electric vehicle user according to the future regional electricity load curve and the historical electricity utilization condition of the regional electric vehicle users comprises the following steps:
performing comprehensive analysis according to the daily average power consumption, the daily charging time period and the fitted regional future power load curve of each electric automobile, and calculating the optimal charging time period and the charging amount of each electric automobile;
acquiring the optimal discharge time period and discharge capacity of each electric vehicle according to the fitted future electric load curve of the region, the battery capacity and the battery state of each electric vehicle;
and making a power utilization report of each electric automobile, issuing the power utilization report to the corresponding client, wherein the power utilization report at least comprises the optimal charging time period and charging amount of the electric automobile, and the optimal discharging time period and discharging amount of the electric automobile.
Further, the method steps further comprise:
and setting the electric charge of each time period according to the future electric load curve and the storage capacity of the region, and sending the electric charge of each time period and the electric use report to the client end.
Further, the method for adjusting the power load curve and the power dispatching data according to the use data returned by the user comprises the following steps:
the electric vehicle user uploads the charging time period or the vehicle using time period of the next stage to the platform through the client;
the platform adjusts the fitted region future power load curve and the power utilization report according to the data uploaded by the electric vehicle user.
In order to facilitate the electric automobile user to charge and discharge the electric automobile according to the electricity utilization report, the invention also provides a regional power load scheduling method, which comprises the following steps:
fitting a future power load curve of the region through national grid data;
acquiring historical power utilization conditions of regional electric automobile users through data acquired by the charging piles of the regional V2G;
according to the future regional power load curve and the historical power utilization condition of regional electric vehicle users, providing power utilization reports of the electric vehicle users and issuing the power utilization reports to the client;
the electric automobile user parks the electric automobile in a fixed charging station and is connected with the V2G charging pile, the platform controls the electric automobile to perform charging or discharging operation in a specified time period according to the electricity utilization report through the V2G charging pile, and the platform also transmits the battery state of the electric automobile to the client.
After the technical scheme is adopted, the platform is in butt joint with the power grid, the regional power load is accurately estimated, and the power is realized
The method has the advantages that the optimal charging and discharging dispatching of the electric automobile is realized, the scheduling control is performed on the charging and discharging of the electric automobile, the power grid regulation and dispatching pressure is relieved, for the power grid, the power utilization pressure can be reduced through the scheduling control on the power utilization of the automobile, the electric automobile can also be used as an energy storage device for regulating and controlling the load, the peak clipping and valley filling of the power utilization load are realized, and the operation efficiency and the reliability of the power grid are improved; according to the time intervals, the power grid is assisted to set the electricity charge in the peak-valley time interval, the network return enthusiasm of the electric automobile is mobilized, a user can obtain the latest electricity utilization report calculated by the platform through the client, the user can charge and discharge the electric automobile in the optimal time interval published by the platform by combining the peak-valley time interval and the electricity charge price set by the power grid, the electric automobile user can charge the electric automobile at low electricity price, the stored energy of the electric automobile is sold to a power company at high electricity price, the cash subsidy is obtained, the use cost of the electric automobile is reduced, and the maximum benefit is obtained; through benign interaction between a user and the platform, a future electrical load curve fitted by the platform is more accurate, and more comfortable use experience is brought to the user while peak clipping, valley filling and scheduling control are realized; the user also can only need to park electric automobile in fixed charging station and connect V2G and fill electric pile, and the platform can carry out the operation of charging or discharging at the specified time quantum through system direct control electric automobile to transmit electric automobile's battery state to the user and use the customer end, convenient saving trouble.
Detailed Description
In order that the present invention may be more clearly understood, the following detailed description of the present invention is given with reference to specific examples.
Example one
A regional power load scheduling method comprises the following steps:
the method comprises the following steps:
fitting a future power load curve of the region through national grid data;
acquiring historical power utilization conditions of regional electric automobile users through data acquired by the charging piles of the regional V2G;
according to the future regional power load curve and the historical power utilization condition of regional electric vehicle users, providing power utilization reports of the electric vehicle users and issuing the power utilization reports to the client;
and the electric automobile user obtains the electricity utilization report through the client and performs charging and discharging of the electric automobile according to the optimal time period in the user utilization report.
Specifically, a data storage module, a communication module and a battery detection system are arranged in the V2G charging pile, and a charging and discharging integrated function can be realized.
In this embodiment, in order to make the future power load curve of the area accurate and the power usage report more reasonable, the method further includes:
and adjusting the fitted region future electricity load curve and the electricity utilization report through the use data returned by the electric vehicle user.
Specifically, the platform fits a future electric load curve in the region through national grid data;
the platform acquires historical power utilization conditions of regional electric automobile users through data acquired by the charging piles of V2G in the region;
the platform gives the electricity utilization reports of all electric vehicle users according to the future regional electricity load curve and the historical electricity utilization conditions of the regional electric vehicle users and sends the electricity utilization reports to the client;
the platform adjusts the fitted region future power load curve and the power utilization report through the use data returned by the electric vehicle user to the client.
The platform docks the electric wire netting, accomplishes accurate prediction to regional power consumption load, realizes electric automobile charge-discharge optimal scheduling, carries out schedule control to electric automobile charge-discharge, alleviates electric wire netting mediation, dispatch pressure, and for the electric wire netting, both can reduce power consumption pressure through the schedule control to the car power consumption, also can regard electric automobile as energy memory for regulation and control load, realize that the load is used for load's peak clipping fills in millet, improves electric wire netting operating efficiency and reliability.
In this embodiment, the method of fitting the future power load curve of the area in a plurality of days in the future through the national grid data includes:
acquiring historical electricity utilization data of users in a region from a national network, and drawing a region historical electricity utilization load curve according to the historical electricity utilization data;
and fitting a future electric load curve of the region according to the historical electric load curve of the region.
In the present embodiment, the historical electricity usage data includes single-day electricity usage data for at least fifteen days. And finding out the peak-valley time of the power utilization in the future power utilization load curve of the region, and setting the peak-valley time.
In this embodiment, the method for acquiring historical electricity utilization conditions of regional electric vehicle users through data collected by the intra-regional V2G electricity utilization piles includes:
acquiring the battery capacity and the battery state of each electric automobile through a battery detection system of the V2G charging pile;
the power utilization condition and the charging condition of the electric automobile user in at least fifteen days in the past in the data acquisition area accessed by the charging pile through the V2G.
The daily average power consumption and daily charging time period of each electric automobile are obtained by counting the power consumption and charging of electric automobile users in at least fifteen days in the past.
In this embodiment, the method for providing the electricity usage report of each electric vehicle user according to the future regional electricity load curve and the historical electricity usage situation of the regional electric vehicle users includes:
performing comprehensive analysis according to the daily average power consumption, the daily charging time period and the fitted regional future power load curve of each electric automobile, and calculating the optimal charging time period and the charging amount of each electric automobile;
acquiring the optimal discharge time period and discharge capacity of each electric vehicle according to the fitted future electric load curve of the region, the battery capacity and the battery state of each electric vehicle;
and making a power utilization report of each electric automobile, issuing the power utilization report to the corresponding client, wherein the power utilization report at least comprises the optimal charging time period and charging amount of the electric automobile, and the optimal discharging time period and discharging amount of the electric automobile.
In this embodiment, the method further includes:
and setting the electric charge of each time period according to the future electric load curve and the storage capacity of the region, and sending the electric charge of each time period and the electric use report to the client end.
Specifically, according to the time intervals, the power grid is assisted to set the peak-valley time interval power charge, the network return enthusiasm of the electric automobile is mobilized, a user can obtain the latest power utilization report calculated by the platform through the client, the user can charge and discharge the electric automobile in the optimal time interval published by the platform by combining the peak-valley time interval and the power charge price set by the power grid, the electric automobile user can charge the electric automobile at a low power price, the stored energy of the electric automobile is sold to a power company at a high power price, cash subsidy is obtained, the use cost of the electric automobile is reduced, and the maximum benefit is obtained.
In this embodiment, the method for adjusting the power load curve and the power scheduling data according to the usage data returned by the user includes:
the electric vehicle user uploads the charging time period or the vehicle using time period of the next stage to the platform through the client;
the platform adjusts the fitted region future power load curve and the power utilization report according to the data uploaded by the electric vehicle user.
Particularly, through benign interaction between the user and the platform, a future electrical load curve fitted by the platform is more accurate, and more comfortable use experience is brought to the user while peak clipping, valley filling and scheduling control are realized.
Example two
A regional power load scheduling method comprises the following steps:
fitting a future power load curve of the region through national grid data;
acquiring historical power utilization conditions of regional electric automobile users through data acquired by the charging piles of the regional V2G;
according to the future regional power load curve and the historical power utilization condition of regional electric vehicle users, providing power utilization reports of the electric vehicle users and issuing the power utilization reports to the client;
the electric automobile user parks the electric automobile in a fixed charging station and is connected with the V2G charging pile, the platform controls the electric automobile to perform charging or discharging operation in a specified time period according to the electricity utilization report through the V2G charging pile, and the platform also transmits the battery state of the electric automobile to the client.
In this embodiment, the user of the electric vehicle only needs to park the electric vehicle in a fixed charging station and connect the charging pile of V2G, which is convenient and trouble-saving.
The above embodiments are described in further detail to solve the technical problems, technical solutions and advantages of the present invention, and it should be understood that the above embodiments are only examples of the present invention and are not intended to limit the present invention, and any modifications, equivalent substitutions, improvements and the like made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (7)
1. A regional power load scheduling method is characterized in that,
the method comprises the following steps:
fitting a future power load curve of the region through national grid data;
acquiring historical power utilization conditions of regional electric automobile users through data acquired by the charging piles of the regional V2G;
according to the future regional power load curve and the historical power utilization condition of regional electric vehicle users, providing power utilization reports of the electric vehicle users and issuing the power utilization reports to the client;
the electric automobile user obtains the electricity utilization report through the client and carries out charging and discharging of the electric automobile according to the optimal time period in the user utilization report; or the electric automobile user parks the electric automobile on a fixed charging station and is connected with the V2G charging pile, the platform controls the electric automobile to perform charging or discharging operation in a specified time period according to the electricity utilization report through the V2G charging pile, and the platform also transmits the battery state of the electric automobile to the client; wherein, the method also comprises the following steps:
the electric vehicle user uploads the charging time period or the vehicle using time period of the next stage to the platform through the client;
the platform adjusts the fitted region future power load curve and the power utilization report according to the data uploaded by the electric vehicle user.
2. The regional power load scheduling method of claim 1,
the platform fits a future power load curve in the region through national grid data;
the platform acquires historical power utilization conditions of regional electric automobile users through data acquired by the charging piles of V2G in the region;
the platform gives the electricity utilization reports of all electric vehicle users according to the future regional electricity load curve and the historical electricity utilization conditions of the regional electric vehicle users and sends the electricity utilization reports to the client;
the platform adjusts the fitted region future power load curve and the power utilization report through the use data returned by the electric vehicle user to the client.
3. The regional power load scheduling method of claim 1,
the method for fitting the future electric load curve of the region in a plurality of days in the future through national grid data comprises the following steps:
acquiring historical electricity utilization data of users in a region from a national network, and drawing a region historical electricity utilization load curve according to the historical electricity utilization data;
and fitting a future electric load curve of the region according to the historical electric load curve of the region.
4. The regional power load scheduling method of claim 3,
the historical electricity usage data includes single-day electricity usage data for at least fifteen days.
5. The regional power load scheduling method of claim 4,
the method for acquiring the historical electricity utilization condition of the regional electric automobile user through the data acquired by the V2G electricity utilization piles in the region comprises the following steps:
acquiring the battery capacity and the battery state of each electric automobile through a battery detection system of the V2G charging pile;
the power utilization condition and the charging condition of electric vehicle users in at least fifteen days in the past in a data acquisition area accessed by the V2G charging pile;
the daily average power consumption and daily charging time period of each electric automobile are obtained by counting the power consumption and charging of electric automobile users in at least fifteen days in the past.
6. The regional power load scheduling method of claim 5,
the method for giving the electricity utilization report of each electric vehicle user according to the future regional electricity load curve and the historical electricity utilization condition of the regional electric vehicle users comprises the following steps:
performing comprehensive analysis according to the daily average power consumption, the daily charging time period and the fitted regional future power load curve of each electric automobile, and calculating the optimal charging time period and the charging amount of each electric automobile;
acquiring the optimal discharge time period and discharge capacity of each electric vehicle according to the fitted future electric load curve of the region, the battery capacity and the battery state of each electric vehicle;
and making a power utilization report of each electric automobile, issuing the power utilization report to the corresponding client, wherein the power utilization report at least comprises the optimal charging time period and charging amount of the electric automobile, and the optimal discharging time period and discharging amount of the electric automobile.
7. The regional power load scheduling method of claim 6,
the method also comprises the following steps:
and setting the electric charge of each time period according to the future electric load curve and the storage capacity of the region, and sending the electric charge of each time period and the electric use report to the client end.
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| CN112550044B (en) * | 2020-11-02 | 2022-08-05 | 南方电网电动汽车服务有限公司 | Charging station load adjustment method, system, device, equipment and storage medium |
| CN116683469B (en) * | 2023-05-10 | 2024-04-26 | 国网河北省电力有限公司邯郸供电分公司 | Load shedding method, device and system of power grid dispatching system |
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| CN102427252A (en) * | 2010-10-28 | 2012-04-25 | 上海市电力公司 | Electromobile charge-discharge monitoring system |
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| WO2011156776A2 (en) * | 2010-06-10 | 2011-12-15 | The Regents Of The University Of California | Smart electric vehicle (ev) charging and grid integration apparatus and methods |
| CN103915869B (en) * | 2014-03-10 | 2016-04-27 | 贾英昊 | A kind of Intelligent charging system of electric automobile based on mobile device and method |
| CN105024432B (en) * | 2015-07-30 | 2017-12-29 | 浙江工业大学 | A kind of electric automobile discharge and recharge Optimization Scheduling based on virtual electricity price |
| CN105141000A (en) * | 2015-09-22 | 2015-12-09 | 国网山东东营市东营区供电公司 | Electric vehicle charging/discharging control method |
| CN106712061B (en) * | 2016-05-16 | 2019-02-01 | 浙江工业大学 | A kind of in a few days priority scheduling method based on the schedulable ability of electric car |
| CN109353244B (en) * | 2018-10-08 | 2020-09-04 | 山东积成智通新能源有限公司 | Control method and system for intelligent and orderly charging of electric automobile |
| CN109910671B (en) * | 2019-03-11 | 2019-10-08 | 三峡大学 | Electric car V2G control method based on intelligent charging spot |
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| CN102427252A (en) * | 2010-10-28 | 2012-04-25 | 上海市电力公司 | Electromobile charge-discharge monitoring system |
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