CN-122026375-A - Vehicle network interaction cooperative regulation and control method and system

CN122026375ACN 122026375 ACN122026375 ACN 122026375ACN-122026375-A

Abstract

The invention belongs to the technical field of power grid control, and discloses a vehicle-network interaction cooperative regulation and control method and a system, wherein the vehicle-network interaction cooperative regulation and control method comprises the steps of adopting a cloud edge end interaction mode and a cloud interaction mode to construct a vehicle-network interaction framework; based on a vehicle network interaction architecture, power distribution network operation data and charging pile operation data are obtained, layered index calculation is carried out through a hierarchical architecture of a transformer substation level, a circuit level and a transformer district level, power distribution network bearing capacity evaluation grade judgment is carried out according to a result of the layered index calculation, and a charging pile cooperative control strategy is formulated and executed according to the power distribution network bearing capacity evaluation grade. The invention solves the problems of high response delay, missing bearing capacity evaluation and insufficient multi-resource coordination of the existing vehicle network interaction system, and realizes dynamic balance of distribution network safety and charging load.

Inventors

WANG FENG
ZHOU CHENGHAN
HE BANGWEI
LIU YA
YIN ZIYANG
LI LISHENG
WU YING
LIU YANG
ZHOU SHENGQI
HUANG MIN
YU HAIDONG
ZHANG LINLI
LIU WENBIN

Assignees

国网山东省电力公司电力科学研究院
国网山东省电力公司青岛供电公司

Dates

Publication Date: 20260512
Application Date: 20251204

Claims (16)

1. The vehicle-network interaction cooperative regulation and control method is characterized by comprising the following steps of: the vehicle network interaction architecture comprises a vehicle network collaborative bearing capacity assessment and optimization platform, a platform area intelligent terminal, a vehicle network intelligent interaction terminal, a charging operator platform and charging and discharging facilities; Based on a vehicle network interaction architecture, acquiring power distribution network operation data and charging pile operation data, performing layering index calculation through a hierarchical architecture of a transformer substation level, a circuit level and a transformer district level, and performing power distribution network bearing capacity assessment grade judgment according to a layering index calculation result; And the charging pile cooperative control strategy is used for carrying out derating control on the charging pile according to the derating priority and the derating power distribution principle of the charging pile when the power distribution network bearing capacity evaluation level is a limited level or an out-of-limit level.
2. The vehicle network interaction cooperative regulation and control method according to claim 1, wherein the cloud interaction mode is started in a planned optimization scene and is used for realizing batch strategy issuing of charging and discharging facilities by utilizing a standard interface between a vehicle network cooperative bearing capacity evaluation and optimization platform and a charging operator platform; The cloud side end interaction mode is automatically started in an emergency state or abnormal state scene and is used for realizing real-time control of second-level response based on the intelligent terminal of the station area through the intelligent interaction terminal of the vehicle network and the charging and discharging facilities; the planned optimization scene comprises a scene of a peak Gu Taoli before and within the day and a new energy consumption scene.
3. The vehicle-network interaction cooperative regulation method according to claim 2, wherein the vehicle-network interaction architecture comprises the following information interaction paths: The system comprises a first information interaction path, a second information interaction path, a third information interaction path, a fourth information interaction path and a fourth information interaction path, wherein the first information interaction path is used for interacting with the intelligent platform and the intelligent platform terminal based on the vehicle network collaborative bearing capacity evaluation and optimization platform, and the intelligent platform terminal interacts information with the charging and discharging facilities through the vehicle network intelligent interaction terminal; the second information interaction path is used for interacting with the charging operator platform based on the vehicle network collaborative bearing capacity evaluation and optimization platform, and the charging operator platform interacts information with the charging and discharging facilities.
4. The vehicle network interaction cooperative regulation method according to claim 1, wherein the obtaining operation data of the power distribution network and operation data of the charging and discharging facilities comprises: the method comprises the steps of obtaining substation level data through interaction with a dispatching EMS system, wherein the substation level data comprises active power, reactive power, current and bus voltage of a substation outlet; obtaining line level data by interacting with a distribution automation system, wherein the line level data comprises voltage, current and power of each node of a feeder line; extracting platform-level data by interacting with a power distribution cloud platform, wherein the platform-level data comprises a platform-area distribution transformer load rate, reverse power and three-phase unbalance; Acquiring charging and discharging facility operation data based on cloud side architecture direct mining or third party platform forwarding, wherein the charging and discharging facility operation data comprises charging and discharging facility real-time power, SOC and user travel requirements; The power distribution network operation data comprise substation level data, line level data, platform area level data and static ledger data.
5. The vehicle-network interactive collaborative regulation and control method according to claim 1, wherein the hierarchical index calculation through the hierarchical architecture of a transformer substation level, a line level and a transformer area level comprises: At a substation level, measuring the margin of the charging load which can be accessed by the substation based on the main transformer load rate; In a line level, evaluating line bearing capacity by utilizing feeder line load rate and node voltage deviation; And measuring the bearing capacity of the transformer area at the transformer area level according to the distribution transformer load rate, the reverse power margin, the three-phase unbalance degree and the voltage out-of-limit index.
6. The vehicle-network interactive cooperative control method according to claim 5, wherein the hierarchical index calculation is performed in parallel according to a plurality of time granularities, the plurality of time granularities including a second-level time granularity, a minute-level time granularity and an hour-level time granularity.
7. The vehicle-network interaction cooperative control method according to claim 1, wherein the determining the power distribution network bearing capacity evaluation level according to the result of the hierarchical index calculation comprises: Dividing the power distribution network bearing capacity evaluation grade into a sufficient grade, a limited grade and an out-of-limit grade; based on the result of the hierarchical index calculation, if any level index out-of-limit at the same time, marking the bearing capacity evaluation level of the level as an out-of-limit level; If all the indexes are in the limited area, marking the bearing capacity evaluation grade of the level as a limited grade; If all the indexes are located in the sufficient area, marking the bearing capacity evaluation grade of the level as a sufficient grade; Wherein the partitioning of the sufficient region, the restricted region, and the out-of-limit region is determined based on a load factor threshold, a voltage deviation threshold, a reverse power load factor threshold, and a three-phase current imbalance threshold.
8. The vehicle-network interaction cooperative regulation method of claim 7, wherein the load rate threshold comprises a first load rate threshold and a second load rate threshold, wherein the load rate is not greater than the first load rate threshold, and is a sufficient area, a limited area when the load rate is between the first load rate threshold and the second load rate threshold, and an out-of-limit area when the load rate is greater than the second load rate threshold; the voltage deviation threshold comprises a first voltage deviation threshold and a second voltage deviation threshold, wherein the voltage deviation is not larger than the first voltage deviation threshold, is a sufficient area, is a limited area when the voltage deviation is located between the first voltage deviation threshold and the second voltage deviation threshold, and is an out-of-limit area when the voltage deviation is larger than the second voltage deviation threshold.
9. The vehicle-network interactive cooperative regulation method of claim 7, wherein the reverse power load rate threshold comprises a first reverse power load rate threshold and a second reverse power load rate threshold, wherein the reverse power load rate is a sufficient area when the reverse power load rate is not greater than the first reverse power load rate threshold, a limited area when the reverse power load rate is between the first reverse power load rate threshold and the second reverse power load rate threshold, and an out-of-limit area when the reverse power load rate is greater than the second reverse power load rate threshold; The three-phase current unbalance degree threshold comprises a first three-phase current unbalance degree threshold and a second three-phase current unbalance degree threshold, wherein the three-phase current unbalance degree threshold is a sufficient area when the three-phase current unbalance degree is not larger than the first three-phase current unbalance degree threshold, is a limited area when the three-phase current unbalance degree is located between the first three-phase current unbalance degree threshold and the second three-phase current unbalance degree threshold, and is an out-of-limit area when the three-phase current unbalance degree is larger than the second three-phase current unbalance degree threshold.
10. The vehicle-network interaction cooperative control method according to claim 1, wherein the formulating the cooperative control strategy of the charging pile according to the power distribution network bearing capacity evaluation level and executing comprises: When the power distribution network bearing capacity evaluation level is a sufficient level, maintaining the current dispatching strategy, and sending an instruction for allowing free charging or discharging to a charging and discharging facility; When the power distribution network bearing capacity evaluation grade is a limited grade, generating a power upper limit or time period electricity price excitation strategy according to the de-rating priority and the de-rating power distribution principle of the charging and discharging facilities, and issuing the strategy to the charging and discharging facilities; When the power distribution network bearing capacity evaluation grade is an out-of-limit grade, a forced power limit instruction or a vehicle-network interaction reverse support instruction is issued through a platform intelligent terminal, a new charging request of the platform is locked, and an out-of-limit event is transmitted back to a power grid dispatching platform; And taking the actual power change after the execution of the cooperative control strategy of the charging pile as new measurement data, and carrying out the evaluation grade judgment of the load capacity of the power distribution network again to form closed-loop rolling evaluation.
11. The vehicle network interaction cooperative regulation and control method according to claim 10, wherein the de-rating priority of the charging and discharging facilities is determined according to the type of a user required, when the charging and discharging facilities of the platform area need de-rating, the charging and discharging facilities corresponding to the non-rigid requirement are prioritized, the charging and discharging facilities corresponding to the common requirement are de-rated, and finally the charging and discharging facilities corresponding to the rigid requirement are de-rated; The types of the demand users comprise rigid demand users, common users and non-rigid demand users; The rigidity demand users comprise special vehicle charging and discharging facilities, vehicles with SOC lower than a first SOC threshold and travel demands greater than a first travel threshold, and users with historical response rates higher than a first response rate threshold; The non-rigid demand users include commercial operating vehicles, vehicles having SOCs above a second SOCs threshold, and users having historical response rates below a second response rate threshold.
12. The vehicle-network interactive cooperative regulation method according to claim 10, wherein the derating power distribution principle comprises at least one of an equal derating principle, an on-demand grading derating principle and a dynamic bidding derating principle; The equal derating principle comprises uniformly derating all the charge and discharge facilities, wherein the derating power of a single charge and discharge facility is equal to the total derating power divided by the number of charge and discharge facilities; Determining the derating power of a single charging and discharging facility according to the user derating priority weight, wherein the derating power of the single charging and discharging facility is equal to the product of the maximum charging power of the charging and discharging facility multiplied by a derating coefficient and the user derating priority weight, and the derating coefficient is determined according to the real-time state of the power distribution network and the user derating priority weight is determined according to the type of a required user; the dynamic bid de-rating principle includes determining de-rating power allocation based on a user bid price.
13. The vehicle-network interaction cooperative regulation and control system is characterized by comprising: The vehicle network interaction framework comprises a vehicle network collaborative bearing capacity assessment and optimization platform, a platform area intelligent terminal, a vehicle network intelligent interaction terminal, a charging operator platform and charging and discharging facilities; the load bearing evaluation unit is used for acquiring power distribution network operation data and charging pile operation data based on a vehicle network interaction architecture, performing layering index calculation through a hierarchical architecture of a transformer substation level, a circuit level and a transformer area level, and judging the power distribution network load bearing evaluation level according to the layering index calculation result; And the strategy control unit is used for formulating a cooperative control strategy of the charging pile according to the power distribution network bearing capacity evaluation level and executing the cooperative control strategy of the charging pile, and the cooperative control strategy of the charging pile is used for carrying out derating control on the charging pile according to the derating priority of the charging pile and the derating power distribution principle when the power distribution network bearing capacity evaluation level is a limited level or an out-of-limit level.
14. The vehicle-network interaction cooperative regulation and control system of claim 13, wherein the load assessment unit is used for acquiring power distribution network operation data and charging and discharging facility operation data when the load assessment unit is used for acquiring the power distribution network operation data and the charging and discharging facility operation data through interaction with a dispatching EMS system, the power distribution network operation data comprise power outlet active power, reactive power, current and bus voltage of a transformer substation, line level data are obtained through interaction with a distribution automation system, the line level data comprise voltage, current and power of each node of a feeder line, platform area level data are extracted through interaction with a distribution cloud platform, the platform area level data comprise platform area distribution transformer load rate, reverse power and three-phase imbalance, charging and discharging facility operation data are acquired directly based on cloud end architecture or through forwarding by a third party platform, and the charging and discharging facility operation data comprise real-time power, SOC and user travel requirements of the charging and discharging facility, and the power distribution network operation data comprise power distribution network operation data, line level data, platform area level data and static account data.
15. The vehicle-network interactive collaborative regulation and control system according to claim 13 is characterized in that the load assessment unit is used for carrying out layered index calculation through a hierarchical architecture of a transformer substation level, a line level and a zone level, wherein the layered index calculation comprises the steps of measuring a margin that a transformer substation can access a charging load based on a main transformer load factor, assessing line load capacity by means of feeder load factors and node voltage deviations at the line level, measuring zone load capacity according to the distribution transformer load factor, a reverse power margin, three-phase imbalance and voltage out-of-limit indexes at the zone level, and carrying out parallel calculation according to a plurality of time granularities, wherein the plurality of time granularities comprise a second-level time granularity, a minute-level time granularity and an hour-level time granularity.
16. The vehicle-network interaction cooperative regulation and control system according to claim 13, wherein the strategy control unit is used for formulating a cooperative control strategy of a charging pile according to a power distribution network bearing capacity evaluation level and executing the cooperative control strategy, and comprises the steps of maintaining a current dispatching strategy and sending an instruction for allowing free charging or discharging to a charging and discharging facility when the power distribution network bearing capacity evaluation level is a sufficient level, generating an upper power limit or time-of-day electricity price excitation strategy according to a derating priority and a derating power distribution principle of the charging and discharging facility when the power distribution network bearing capacity evaluation level is a limited level, and issuing the upper power limit or time-of-day electricity price excitation strategy to the charging and discharging facility, issuing a forced power limit instruction or a vehicle-network interaction reverse support instruction through a district intelligent terminal when the power distribution network bearing capacity evaluation level is an out-of-limit level, locking a new charging request of the district and transmitting an out-of-limit event back to a power distribution network dispatching platform, and re-conducting power distribution network bearing capacity evaluation level judgment on the actual power change after the cooperative control strategy execution of the charging pile as new measurement data to form closed-loop rolling evaluation.

Description

Vehicle network interaction cooperative regulation and control method and system Technical Field The invention relates to the technical field of power grid control, in particular to a vehicle-network interaction cooperative regulation and control method and system. Background With the deep advancement of global energy transformation, the Electric Vehicle (EV) conservation volume is in explosive growth, the contradiction between the charging demand with huge mass, high concurrency and extremely unbalanced space-time distribution and the limited power supply capacity of the power distribution network is increasingly sharp, and the vehicle-network interaction (V2G) technology is regarded as a breaking key. V2G converts the electric automobile which is powered by passive electricity into a movable, schedulable and tradable distributed energy storage resource through bidirectional energy flow and information flow, and has great potential in the aspects of peak clipping and valley filling, new energy source absorption, auxiliary service provision and the like. However, the current vehicle network interaction information flow, service flow and control flow are not clear, the vehicle pile network multi-source, multi-dimensional and full-time domain data are difficult to access uniformly and fuse efficiently, the V2G on-site bidirectional charging and discharging lacks accurate regulation means, the vehicle network dynamic optimization operation strategy is lacking at the power grid side, and the high-frequency interaction requirements of millions of charging piles and millions of electric vehicles are difficult to support. The existing vehicle network interaction technology generally adopts a framework based on a cloud platform, and relies on the vehicle networking cloud platform or a third party operator platform to transfer data. On one hand, the interface standards between platforms are not uniform, the data formats, protocols and semantics are large, repeated cleaning and conversion are needed, and on the other hand, the provincial car networking platform is not completely communicated with a ground power distribution main station, a charging operator and an aggregator, the data are subjected to multistage aggregation and manual auditing, the response delay of the system is generally more than 10 seconds, and the real-time control requirements of station area second overload inhibition, millisecond voltage support and the like cannot be met. Meanwhile, the core of the safe operation of the power distribution network is real-time quantification of three-level power supply capacity of a station-line-station area, however, the current vehicle network interaction system is only stopped at simple statistics of rated capacity or historical maximum load of a charging pile, and lacks on-line assessment of outlet load rate, feeder voltage distribution and station area reverse power out-of-limit of a transformer substation, so that the bottleneck position cannot be perceived in advance, and the adjustable margin of the charging pile at different time scales cannot be quantified. In addition, most of the existing systems only support basic ordered charging, guide vehicle charging in a centralized manner in electricity price valley sections, have insufficient cooperative consideration of distributed photovoltaic, energy storage and controllable load, do not establish a dual-mode regulation and control mechanism of emergency state (instantaneous out-of-limit of a platform area/feeder line) and planned state (rolling optimization in the day/day), face sudden faults or extreme weather, cannot be quickly switched to strategies such as emergency derating, V2G reverse support and the like, can only passively cut off the load, and seriously influence user experience and power grid safety. The defects of the prior art are particularly characterized in that the data interaction efficiency is low, the regulation delay is high, the real-time control requirement cannot be met, the bearing capacity evaluation is lost, the three-level power supply capacity of the power distribution network cannot be quantified in real time, the ordered charging strategy is often 'one-cut', resources are wasted due to excessive conservation or potential safety hazards of a platform area are induced by aggressive operation, the regulation strategy is single, the emergency and planning dual-mode regulation mechanism is lacked, the emergency cannot be responded quickly, and the traditional 'cloud-end' secondary framework has difficulty in supporting the high-frequency interaction requirement of millions of charging piles and tens of millions of electric vehicles. Therefore, how to provide a vehicle-network interaction control solution for 'cloud-side-end' cooperation, dynamic evaluation of bearing capacity and dual-mode regulation and control to realize dynamic balance of power distribution network safety and charging load becomes a current urgent problem t