CN114583708A - Virtual power plant day-ahead accurate peak clipping method, system, equipment and storage medium - Google Patents

Virtual power plant day-ahead accurate peak clipping method, system, equipment and storage medium Download PDF

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CN114583708A
CN114583708A CN202210270347.2A CN202210270347A CN114583708A CN 114583708 A CN114583708 A CN 114583708A CN 202210270347 A CN202210270347 A CN 202210270347A CN 114583708 A CN114583708 A CN 114583708A
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day
user
ahead
power supply
peak clipping
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王滔
周保荣
程韧俐
赵文猛
李江南
毛田
史军
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China South Power Grid International Co ltd
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    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
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    • H—ELECTRICITY
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Abstract

The invention relates to the technical field of power dispatching and discloses a method, a system, equipment and a storage medium for accurate peak clipping in the day ahead of a virtual power plant. When a day-ahead peak clipping requirement is received, a real-time power supply path of each user is obtained according to user standing book data, each real-time power supply path is inquired according to an identification of heavy overload equipment in the day-ahead peak clipping requirement, if the heavy overload equipment is inquired in a power supply equipment set corresponding to the real-time power supply path, the user corresponding to the real-time power supply path is used as a target user, a target user set is constructed, an offer is further initiated to each target user in the target user set, a winning user is determined according to feedback of each target user for the offer, and a day-ahead scheduling plan curve is issued to each winning user, so that each winning user performs peak clipping feedback according to the day-ahead scheduling plan curve. The method can meet the requirement of accurate peak clipping on a certain main transformer, distribution transformer or feeder line, and improve the peak clipping accuracy.

Description

Virtual power plant day-ahead accurate peak clipping method, system, equipment and storage medium
Technical Field
The invention relates to the technical field of power dispatching, in particular to a method, a system, equipment and a storage medium for accurate peak clipping in the day-ahead of a virtual power plant.
Background
Due to the large fluctuation of the power supply side, the power grid may have power supply shortage in local time periods and local areas, and peak clipping needs to be performed on the load side to keep real-time balance of power generation and power utilization.
At present, when peak clipping is carried out on a load side, all users in the area are invited, the peak clipping invitation range in the day ahead cannot be accurately determined, effective interaction with the corresponding users is realized, accurate peak clipping cannot be realized, and the problem of heavy overload in a local area of a power grid cannot be effectively solved.
Disclosure of Invention
The invention provides a method, a system, equipment and a storage medium for accurate peak clipping day ahead of a virtual power plant, and solves the technical problem of low accuracy caused by the fact that the current virtual power plant cannot accurately determine the peak clipping invitation range day ahead and realize effective interaction with corresponding users when the peak clipping day ahead is carried out in the current virtual power plant.
The invention provides a day-ahead accurate peak clipping method for a virtual power plant, which comprises the following steps:
receiving day-ahead peak clipping requirements, wherein the day-ahead peak clipping requirements comprise the identification of heavy overload equipment, a peak clipping period and a power requirement curve of each preset time interval in the peak clipping period;
the method comprises the steps that real-time power supply paths of users are obtained according to pre-established user standing book data, wherein each real-time power supply path comprises a corresponding distribution transformer and a power supply equipment set which participates in power supply to the corresponding distribution transformer;
inquiring each real-time power supply path according to the identification of the heavy overload equipment, and if one or more heavy overload equipment is inquired in a power supply equipment set corresponding to the real-time power supply path, taking a user corresponding to the real-time power supply path as a target user to construct a target user set;
initiating an offer corresponding to the peak clipping requirement in the day ahead to each target user in the target user set;
and determining winning bid users according to the feedback of each target user aiming at the invitation, and issuing a day-ahead scheduling plan curve to each winning bid user so that each winning bid user performs peak clipping feedback according to the day-ahead scheduling plan curve.
According to a manner that can be realized by the first aspect of the present invention, the power supply device includes a 220kV main transformer, a 110kV line and a 10kV feeder line, and the acquiring a real-time power supply path of each user according to pre-established user ledger data includes:
acquiring the topological information of a power distribution network in the day ahead, and modifying the topological information of the power distribution network in the day ahead according to scheduled power-off maintenance or power supply switching operation of power supply equipment between the day ahead and a peak clipping day;
inquiring 10kV feeders correspondingly connected with the distribution transformers in the user account data according to the modified topology information of the distribution network to form feeder sets corresponding to the distribution transformers;
for each 10kV feeder line in the feeder line set, inquiring a correspondingly connected 110kV main transformer according to the topology information of the power distribution network to form a first main transformer set corresponding to the 10kV feeder line;
for each 110kV main transformer in the first main transformer set, inquiring the correspondingly connected 110kV lines according to the topology information of the power distribution network to form a line set corresponding to the 110kV main transformers;
for each 110kV line in the line set, inquiring a correspondingly connected 220kV main transformer according to the topology information of the power distribution network to form a second main transformer set corresponding to the 110kV line;
and determining real-time power supply paths from a distribution transformer, a 10kV feeder line, a 110kV main transformer, a 110kV line to a 220kV main transformer of each user according to the feeder line set, the first main transformer set, the line set and the second main transformer set.
According to a manner that can be realized by the first aspect of the present invention, the acquiring topology information of the distribution network in the future includes:
sending a request for acquiring the topology information of the power distribution network at present to a power grid system in which the topology information of the power distribution network is stored;
and receiving the topology information of the power distribution network in the day before, which is sent by the power grid system according to the request.
According to a manner that can be realized by the first aspect of the present invention, the determining a winning user according to feedback of each target user for the offer includes:
determining the quotation of each target user according to the feedback of each target user for the offer;
determining the adjusting performance coefficient of each target user according to the adjustable response quantity, the adjusting rate and the response duration;
and determining winning users and clearing prices by adopting an optimized clearing model according to the quoted price and the adjusting performance coefficient. According to a manner that can be realized in the first aspect of the present invention, the determining an adjustment performance coefficient of each target user according to the adjustable response amount, the adjustment rate, and the response duration specifically includes:
the tuning performance coefficient was determined according to the following formula:
R＝p×v×h
in the formula, R represents an adjusting performance coefficient, p is an adjustable response quantity, v is an adjusting speed, and h is a response time length.
According to a mode that can be realized in the first aspect of the present invention, the determining the winning user and the clearing price by using the optimized clearing model specifically includes:
the lowest total cost for realizing unit adjustment performance is taken as a target function, medium scalars of all users in the t-th time period are calculated, and the corresponding maximum clearing price in the t-th time period is taken as a marginal clearing price;
the optimized clearing model comprises the following steps:
the objective function is:
Figure BDA0003554421140000031
the constraint conditions are as follows:
Figure BDA0003554421140000032
in the formula, CfThe total cost of performance regulation for a virtual power plant unit, T is the total system peak regulation duration, N is the total number of target users, Px,tOffer for the xth target user during the t period, Gx,tResponse quantity R of the x target user in the t periodxAdjusting the coefficient of performance for the xth target user, Gx,minLower limit of response for the x-th target user, Gx,maxUpper limit of response amount for the x-th target user, PminLower limit of compensated price declaration, P, set for systemmaxUpper limit, Q, of compensated price declaration set for systemtThe total power demand of the system peak shaving in the t-th period, hx,tThe response time length h of the xth target user in the t periodtIs the system peak regulation total time length requirement of the t period, vx,tFor the adjustment rate of the xth target user in the t period, vtThe total regulation rate requirement is peaked for the system during period t.
According to a manner that can be implemented in the first aspect of the present invention, the issuing a day-ahead scheduling plan curve to each winning subscriber includes:
if the successful bid user is a load aggregator, decomposing a day-ahead scheduling plan curve to be issued;
and sending the obtained decomposition result to a corresponding load aggregator, so that the corresponding load aggregator sends corresponding scheduling plan curves to the aggregated users according to the decomposition result, and the sum of the scheduling plan curves of the users aggregated by the load aggregator is ensured to be consistent with the day-ahead scheduling plan curve to be issued.
According to a manner that can be implemented in the first aspect of the present invention, the decomposing of the future scheduling plan curve to be delivered specifically includes:
decomposing a day-ahead scheduling plan curve to be issued according to an equal-proportion decomposition strategy; the equal proportion decomposition strategy is to decompose a day-ahead scheduling plan curve to be issued according to the following formula:
Figure BDA0003554421140000041
in the formula, gj,tThe bid amount G of the jth user of the load aggregation provider in the t periodtThe total amount of the load aggregators winning the bid in the t-th time period, m is the total number of the users aggregated by the load aggregators, gj,t' reporting response quantity of the t-th period of the j-th user of the load aggregator.
The invention provides a virtual power plant day-ahead accurate peak clipping system, which comprises:
the peak clipping device comprises a demand receiving module, a peak clipping processing module and a peak clipping processing module, wherein the demand receiving module is used for receiving peak clipping demands in the day ahead, and the peak clipping demands in the day ahead comprise the identification of heavy overload equipment, a peak clipping time period and a power demand curve of each preset time interval in the peak clipping time period;
the real-time power supply path acquisition module is used for acquiring real-time power supply paths of users according to pre-established user standing book data, wherein each real-time power supply path comprises a corresponding distribution transformer and a power supply equipment set which participates in power supply to the corresponding distribution transformer;
a target user set building module, configured to query each real-time power supply path according to the identifier of the heavy overload device, and if one or more heavy overload devices are queried in a power supply device set corresponding to the real-time power supply path, use a user corresponding to the real-time power supply path as a target user to build a target user set;
an offer module, configured to initiate an offer corresponding to the peak clipping requirement of the day ahead to each target user in the target user set;
and the decision module is used for determining the winning bid users according to the feedback of the target users aiming at the offers and issuing a day-ahead scheduling plan curve to the winning bid users so that the winning bid users perform peak clipping feedback according to the day-ahead scheduling plan curve.
According to one implementable manner of the second aspect of the present invention, the power supply device includes a 220kV main transformer, a 110kV line, and a 10kV feeder, and the real-time power supply path acquiring module includes:
the acquisition unit is used for acquiring the topological information of the power distribution network in the day ahead, and modifying the topological information of the power distribution network in the day ahead according to power failure overhaul or power supply transfer operation of power supply equipment planned between the day ahead and a peak clipping day;
the first query unit is used for querying 10kV feeders correspondingly connected with the distribution transformers in the user account data according to the modified topology information of the distribution network to form feeder sets corresponding to the distribution transformers;
the second query unit is used for querying a correspondingly connected 110kV main transformer for each 10kV feeder line in the feeder line set according to the topology information of the power distribution network to form a first main transformer set corresponding to the 10kV feeder line;
the third query unit is used for querying the correspondingly connected 110kV line according to the topology information of the power distribution network for each 110kV main transformer in the first main transformer set to form a line set corresponding to the 110kV main transformer;
the fourth query unit is used for querying the correspondingly connected 220kV main transformers for each 110kV line in the line set according to the topology information of the power distribution network to form a second main transformer set corresponding to the 110kV line;
and the path determining unit is used for determining real-time power supply paths of all users from a distribution transformer, a 10kV feeder line, a 110kV main transformer, a 110kV line to a 220kV main transformer according to the feeder line set, the first main transformer set, the line set and the second main transformer set.
According to an implementable manner of the second aspect of the present invention, the acquisition unit includes:
the request sending subunit is used for sending a request for acquiring the topology information of the power distribution network at the present to the power grid system in which the topology information of the power distribution network is stored;
and the receiving subunit is used for receiving the topology information of the power distribution network in the day before, which is sent by the power grid system according to the request.
According to an implementable manner of the second aspect of the present invention, the decision module comprises a first sub-module for determining a winning user from feedback of each target user for the offer, the first sub-module comprising:
the compensation price determining unit is used for determining the quotation of each target user according to the feedback of each target user aiming at the offer;
the adjusting performance coefficient determining unit is used for determining the adjusting performance coefficient of each target user according to the adjustable response quantity, the adjustable rate and the response time;
and the bid-winning user determining unit is used for determining a bid-winning user and a clearing price by adopting an optimized clearing model according to the quote and the adjusting performance coefficient.
According to an implementable manner of the second aspect of the present invention, the adjustment performance coefficient determining unit is specifically configured to:
the tuning performance coefficient was determined according to the following formula:
R＝p×v×h
in the formula, R represents an adjusting performance coefficient, p is an adjustable response quantity, v is an adjusting speed, and h is a response time length.
According to an implementable manner of the second aspect of the present invention, the winning user determination unit is specifically configured to:
the lowest total cost for realizing unit adjustment performance is taken as a target function, medium scalars of all users in the t-th time period are calculated, and the corresponding maximum clearing price in the t-th time period is taken as a marginal clearing price;
the optimized clearing model is as follows:
the objective function is:
Figure BDA0003554421140000061
the constraint conditions are as follows:
Figure BDA0003554421140000062
in the formula, CfThe total cost of performance adjustment for a virtual power plant unit, T the total peak load regulation duration of the system, N the total number of target users, Px,tOffer for the xth target user during the t period, Gx,tIs the response quantity, R, of the x target user in the t periodxAdjusting the coefficient of performance for the xth target user, Gx,minLower limit of response for the x-th target user, Gx,maxUpper limit of response amount for the x-th target user, PminLower limit of compensated price declaration, P, set for systemmaxUpper limit, Q, of compensated price declaration set for systemtThe total power demand of the system peak shaving in the t-th period, hx,tThe response time length h of the xth target user in the t periodtIs the system peak regulation total time length requirement of the t period, vx,tFor the adjustment rate of the xth target user in the t period, vtThe total regulation rate requirement is peaked for the system during period t.
According to an implementation manner of the second aspect of the present invention, the decision module further includes a second sub-module for issuing a day-ahead scheduling plan curve to each winning user, where the second sub-module includes:
the decomposition unit is used for decomposing a day-ahead scheduling plan curve to be issued when the winning user is a load aggregator;
and the sending unit is used for sending the obtained decomposition result to the corresponding load aggregator so that the corresponding load aggregator sends a corresponding scheduling plan curve to each aggregated user according to the decomposition result, and the sum of the scheduling plan curves of the users aggregated by the load aggregator is ensured to be consistent with the to-be-issued day-ahead scheduling plan curve.
According to a manner that can be realized by the second aspect of the present invention, the decomposition unit is specifically configured to, when the winning user is a load aggregator:
decomposing a day-ahead scheduling plan curve to be issued according to an equal-proportion decomposition strategy; the equal proportion decomposition strategy is to decompose a day-ahead scheduling plan curve to be issued according to the following formula:
Figure BDA0003554421140000071
in the formula, gj,tWinning bid amount in t-th time period for jth user of load aggregator, GtThe total amount of the load aggregators winning the bid in the t-th time period, m is the total number of the users aggregated by the load aggregators, gj,t' reporting response quantity of the t-th period of the j-th user of the load aggregator.
The invention provides a third aspect of a virtual power plant day-ahead accurate peak clipping system, which comprises:
the virtual power plant is used for receiving the peak clipping requirement in the day ahead, wherein the peak clipping requirement in the day ahead comprises an identifier of heavy overload equipment, a peak clipping time period and a power requirement curve of each preset time interval in the peak clipping time period; the method comprises the steps that real-time power supply paths of users are obtained according to pre-established user standing book data, wherein each real-time power supply path comprises a corresponding distribution transformer and a power supply equipment set which participates in power supply to the corresponding distribution transformer; inquiring each real-time power supply path according to the identification of the heavy overload equipment, and if one or more heavy overload equipment is inquired in a power supply equipment set corresponding to the real-time power supply path, taking a user corresponding to the real-time power supply path as a target user to construct a target user set; initiating an offer corresponding to the peak clipping requirement in the day ahead to each target user in the target user set; determining winning bid users according to feedback of target users for the offers, and issuing a day-ahead scheduling plan curve to the winning bid users so that the winning bid users respond to a power grid company within the peak clipping period according to the day-ahead scheduling plan curve;
and the power grid company is used for calculating a user response reference line and calculating subsidy cost of the response quantity of the winning user according to the user response reference line.
According to an implementable manner provided by the third aspect of the present invention, when the power grid company calculates the user response reference line, the method is specifically configured to:
determining a corresponding response day type when the winning bid user responds, wherein the response day type comprises a working day, a double holiday, a holiday and a special national holiday;
acquiring historical load data of the same type of the corresponding days according to the corresponding response day type;
calculating a corresponding average load curve according to the historical load data and the following formula, and taking the obtained average load curve as a user response reference line:
Figure BDA0003554421140000081
in the formula (I), the compound is shown in the specification,
Figure BDA0003554421140000082
represents the average load of the b winning user in the t period, Gd,b,tThe historical load of the D th winning user in the b th winning user in the t th time period is shown, and D is the corresponding days of the historical load data.
According to an implementable manner provided by the third aspect of the present invention, when the power grid company performs subsidy fee calculation on the response quantity of each winning bid user according to the user response reference line, the method is specifically configured to:
setting the actual load monitoring value of the b-th winning user in the t-th period of the response day as Lb,tCorresponding to a medium scalar of Gb,tThe corresponding load of the user response baseline is
Figure BDA0003554421140000083
When it is satisfied with
Figure BDA0003554421140000084
Figure BDA0003554421140000085
The corresponding subsidy cost MbCalculated as follows:
Figure BDA0003554421140000086
wherein T is the total peak-load time of the system, Pb,tThe bid price of the b-th winning user in the t-th time period is quoted;
when it is satisfied with
Figure BDA0003554421140000087
The corresponding subsidy cost MbCalculated as follows:
Figure BDA0003554421140000091
when it is satisfied with
Figure BDA0003554421140000092
The corresponding subsidy cost MbCalculated as follows:
Figure BDA0003554421140000093
the fourth aspect of the present invention provides a day-ahead accurate peak clipping device for a virtual power plant, comprising:
a memory to store instructions; the instruction is the instruction which can realize the virtual power plant day-ahead accurate peak clipping method in any one of the realizable modes;
a processor to execute the instructions in the memory.
In a fifth aspect, the present invention relates to a computer readable storage medium, having a computer program stored thereon, wherein the computer program, when executed by a processor, implements a method for virtual plant day-ahead peak clipping in any manner as described above.
According to the technical scheme, the invention has the following advantages:
when a day-ahead peak clipping requirement is received, acquiring a real-time power supply path of each user according to pre-established user account data, inquiring each real-time power supply path according to an identification of heavy overload equipment in the day-ahead peak clipping requirement, if one or more heavy overload equipment is inquired in a power supply equipment set corresponding to the real-time power supply path, taking the user corresponding to the real-time power supply path as a target user, constructing a target user set, further initiating an invitation to each target user in the target user set, determining a winning bid user according to feedback of each target user aiming at the invitation, and issuing a day-ahead scheduling plan curve to each winning bid user so that each winning bid user performs peak clipping feedback according to the day-ahead scheduling plan curve; the method and the device utilize load aggregation and informatization regulation and control means of the virtual power plant, acquire real-time power supply paths of users based on topological association of the distribution network, and realize accurate peak clipping requirements on a certain main transformer, a distribution transformer or a feeder line, so that not only can the reduction of power supply quality and social influence caused by orderly power utilization be avoided, but also the accuracy of a peak clipping invitation range can be improved, and the user invitation in a large range can be avoided, thereby effectively solving the technical problem of low accuracy caused by the fact that the current peak clipping invitation range of the virtual power plant cannot be accurately determined and the effective interaction with the corresponding users is realized when the current virtual power plant carries out peak clipping in the day ahead, being beneficial to reducing the response to the invalidation of a power grid, and reducing the subsidy cost of calling load side resources of the virtual power plant.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without inventive exercise.
FIG. 1 is a flow chart of a method for virtual power plant day-ahead peak clipping in accordance with an alternative embodiment of the present invention;
fig. 2 is a structural connection block diagram of a day-ahead precise peak clipping system of a virtual power plant according to an alternative embodiment of the present invention.
Reference numerals:
1-a demand receiving module; 2-a real-time power supply path acquisition module; 3-a target user set construction module; 4-an offer module; 5-decision module.
Detailed Description
The embodiment of the invention provides a method, a system, equipment and a storage medium for accurate peak clipping in the day ahead of a virtual power plant, which are used for solving the technical problem of low accuracy caused by the fact that the current peak clipping invitation range in the day ahead cannot be accurately determined and effective interaction with corresponding users is realized when the current virtual power plant performs peak clipping in the day ahead.
In order to make the objects, features and advantages of the present invention more obvious and understandable, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the embodiments described below are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The invention provides a day-ahead accurate peak clipping method for a virtual power plant, which can be executed by a platform of the virtual power plant.
Referring to fig. 1, fig. 1 shows a flowchart of a method for accurate peak clipping in a virtual power plant day ahead according to an embodiment of the present invention.
The method for accurately clipping the peak in the day ahead of the virtual power plant provided by the embodiment of the invention comprises the steps S1-S5.
And step S1, receiving a peak clipping requirement before the day, wherein the peak clipping requirement before the day comprises an identifier of heavy overload equipment, a peak clipping time period and a power requirement curve of each preset time interval in the peak clipping time period.
Preferably, the preset time interval may be a 15min interval.
It should be noted that the day-ahead scheduling plan curve is a curve composed of planned power values at preset time intervals.
During specific implementation, the power regulation and control platform initiates the peak clipping requirement before the day to all virtual power plants accessed to the power regulation and control platform. When the power grid company arranges the next day operation mode, after obtaining the power and electricity balance analysis result according to the load prediction and the unit startup condition, judging that the local area has a heavy load or overload condition, and then issuing the peak clipping requirement before the day to a virtual power plant accessed to the power regulation and control platform.
Step S2, real-time power supply paths of each user are obtained according to pre-established user standing book data, wherein each real-time power supply path comprises a corresponding distribution transformer and a power supply device set participating in power supply to the corresponding distribution transformer.
The pre-established user standing book data is the standing book data established by a user individual or a load aggregator when the user individual or the load aggregator registers in a platform of the virtual power plant, and the standing book data includes but is not limited to: the user unifies social credit codes, electricity user numbers, distribution transformer hang plate numbers, user electricity meter numbers and adjustable resource capacity.
Considering that a power supply path of a user changes due to the influence of power supply from a distribution network, a real-time power supply path needs to call the latest topology information of the distribution network for query after the power grid issues a peak clipping requirement day ahead, the latest topology information of the distribution network is usually in a power grid GIS system, a distribution network scheduling system and other systems, and the query mode can be real-time interface query or offline manual query.
In specific implementation, as a mode that can be implemented, the power supply device includes a 220kV main transformer, a 110kV line, and a 10kV feeder, and the obtaining of the real-time power supply path of each user according to the pre-established user ledger data includes:
acquiring the topological information of the power distribution network in the day ahead, and modifying the topological information of the power distribution network in the day ahead according to scheduled power-off maintenance or power supply switching operation of power supply equipment between the day ahead and a peak clipping day;
inquiring 10kV feeders correspondingly connected with the distribution transformers in the user ledger data according to the modified topology information of the distribution network to form feeder sets corresponding to the distribution transformers;
for each 10kV feeder line in the feeder line set, inquiring a correspondingly connected 110kV main transformer according to the topology information of the power distribution network to form a first main transformer set corresponding to the 10kV feeder line;
for each 110kV main transformer in the first main transformer set, inquiring the correspondingly connected 110kV lines according to the topology information of the power distribution network to form a line set corresponding to the 110kV main transformers;
for each 110kV line in the line set, inquiring a correspondingly connected 220kV main transformer according to the topology information of the power distribution network to form a second main transformer set corresponding to the 110kV line;
and determining real-time power supply paths from a distribution transformer, a 10kV feeder line, a 110kV main transformer, a 110kV line to a 220kV main transformer of each user according to the feeder line set, the first main transformer set, the line set and the second main transformer set.
According to the embodiment of the invention, the real-time power supply path query is carried out according to the latest topology information of the power distribution network, the actual power supply path of each user can be accurately found, and the accuracy of subsequently determining the peak clipping invitation range is improved.
The implementation method for acquiring the topology information of the power distribution network in the day ahead, and modifying the topology information of the power distribution network in the day ahead according to the power failure overhaul or power supply transfer operation of the power supply equipment scheduled between the day ahead and the peak clipping day can be as follows:
sending a request for acquiring the topology information of the power distribution network at present to a power grid system in which the topology information of the power distribution network is stored;
and receiving the topology information of the power distribution network in the day before, which is sent by the power grid system according to the request.
To more clearly illustrate the above method of determining the real-time power supply path, a specific embodiment is described below.
The distribution transformer set with the user sigma obtained from the user account data of the virtual power plant is phi110kv distributionThe transformer alpha is inquired in the power distribution network topology that two upper-level feeders of the 10kV distribution transformer alpha are respectively 10kV feeder beta110kV feeder beta2Then, the feeder line set corresponding to the distribution transformer alpha is formed as phi2＝{β1,β2}；
For 10kV feeder line beta1Querying 10kV feeder beta in power distribution network topology1The upper 110kV main transformer is gamma1Querying 10kV feeder beta in power distribution network topology2The upper 110kV main transformer is gamma2Then a first main transformer set phi corresponding to the 10kV feeder line is formed3＝{γ1,γ2}；
By parity of reasoning, the circuit set corresponding to the 110kV main transformer is formed into phi4＝{δ1,δ2In which is delta1Is changed into gamma for 110kV1Corresponding connected 110kV line, delta2Is changed into gamma for 110kV2A correspondingly connected 110kV line;
forming a second main transformer set corresponding to the 110kV line as phi5＝{ε1In which epsilon1Is 110kV line delta1、δ2A 220kV main transformer correspondingly connected;
according to the set phi1、Φ2、Φ3、Φ4And phi5Determining a real-time power supply path from a distribution transformer, a 10kV feeder line, a 110kV main transformer, a 110kV line to a 220kV main transformer of a user sigma as follows:
Figure BDA0003554421140000121
similarly, real-time power supply path results of other users can be formed, and the virtual power plant updates account information about the real-time power supply paths of all the users according to the real-time power supply path results.
Step S3, querying each real-time power supply path according to the identifier of the heavy overload device, and if one or more heavy overload devices are queried in the power supply device set corresponding to the real-time power supply path, taking the user corresponding to the real-time power supply path as a target user, and constructing a target user set.
With reference to the embodiment in step S2, step S2 is described as another embodiment:
when the heavy overload equipment is marked as omega ═ 110kV main transformer gamma110kV distribution transformer alpha, inquiring 110kV main transformer gamma in the real-time power supply path of each user1And a 10kv distribution transformer alpha, visible in the real-time supply path LσThe heavy overload equipment can be found, and the real-time power supply path L is usedσAs a target user.
According to the embodiment of the invention, each real-time power supply path is inquired according to the identification of the heavy overload equipment so as to determine the target user, and the inquiry mode is simple and convenient.
Step S4, an offer corresponding to the peak clipping requirement in the day ahead is initiated to each target user in the target user set.
Step S5, determining winning bid users according to the feedback of each target user for the offer, and issuing a day-ahead scheduling plan curve to each winning bid user, so that each winning bid user performs peak clipping feedback according to the day-ahead scheduling plan curve.
After each target user receives the offer, parameters such as response quantity, price, upper and lower adjusting range, duration and the like are declared. For the feedback of the target user, the embodiment of the invention further determines the winning user. As an implementation manner, when a winning bid user is determined according to feedback of each target user for the offer, specifically performing:
determining the quotation of each target user according to the feedback of each target user for the offer;
determining the adjusting performance coefficient of each target user according to the adjustable response quantity, the adjusting rate and the response duration;
and determining winning users and clearing prices by adopting an optimized clearing model according to the quoted price and the adjusting performance coefficient.
In an implementation manner, the determining an adjustment performance coefficient of each target user according to the adjustable response amount, the adjustment rate, and the response duration specifically includes:
the tuning performance coefficient was determined according to the following formula:
R＝p×v×h
in the formula, R represents an adjusting performance coefficient, p is an adjustable response quantity, v is an adjusting speed, and h is a response time length.
The embodiment of the invention provides a calculation formula for adjusting the performance coefficient, so that the determination of the performance coefficient is simpler and more convenient.
Further, when a winning user is determined, the lowest total cost for realizing unit adjustment performance is taken as a target function, medium scalar quantities of all users in the t-th time period are calculated, and the corresponding maximum clearing price in the t-th time period is taken as a marginal clearing price;
the optimized clearing model is as follows:
the objective function is:
Figure BDA0003554421140000141
the constraint conditions are as follows:
Figure BDA0003554421140000142
in the formula, CfThe total cost of performance regulation for a virtual power plant unit, T is the total system peak regulation duration, N is the total number of target users, Px,tOffer for the xth target user during the t time period, Gx,tIs the response quantity, R, of the x target user in the t periodxAdjusting the coefficient of performance for the xth target user, Gx,minLower limit of response amount for the x-th target user, Gx,maxUpper limit of response amount for the x-th target user, PminLower limit of compensated price declaration, P, set for systemmaxUpper limit, Q, of compensated price declaration set for systemtThe total power demand of the system peak shaving in the t-th period, hx,tThe response time length h of the xth target user in the t periodtIs the system peak regulation total time length requirement of the t period, vx,tAs the x-th target userRate of regulation during period t, vtThe total regulation rate requirement is peaked for the system during period t.
The unified marginal clearing price is determined through the marginal clearing algorithm model, the efficiency of determining the marginal clearing price is improved, the market standardization is facilitated, and malicious bidding is prevented.
When the day-ahead scheduling plan curve is issued to each winning bid user, if the winning bid user is an individual user, the corresponding day-ahead scheduling plan curve can be directly issued to the winning bid user.
And when the winning user is a load aggregation provider, the following steps can be executed:
when the winning bid user is a load aggregator, decomposing a day-ahead scheduling plan curve to be issued;
and sending the obtained decomposition result to a corresponding load aggregator, so that the corresponding load aggregator sends corresponding scheduling plan curves to the aggregated users according to the decomposition result, and the sum of the scheduling plan curves of the users aggregated by the load aggregator is ensured to be consistent with the day-ahead scheduling plan curve to be issued.
As a way to be realized, when the winning bid user is a load aggregator, decomposing a day-ahead scheduling plan curve to be issued according to an equal-proportion decomposition strategy; the equal proportion decomposition strategy is to decompose a day-ahead scheduling plan curve to be issued according to the following formula:
Figure BDA0003554421140000151
in the formula, gj,tThe bid amount G of the jth user of the load aggregation provider in the t periodtThe total amount of the load aggregators winning the bid in the t-th time period, m is the total number of the users aggregated by the load aggregators, gj,t' reporting response quantity of the t-th period of the j-th user of the load aggregator.
It should be noted that, the future scheduling plan curve to be delivered may also be decomposed according to other customized decomposition strategies.
It should be noted that, when the winning bid user is a load aggregator, the virtual power plant does not necessarily decompose the future scheduling plan curve to be issued. The executing subject for decomposing the day-ahead scheduling plan curve can be the load aggregator itself, and the specific decomposition strategy can refer to the description of the strategy for decomposing the curve by the virtual power plant as above.
The embodiment of the invention can ensure that the sum of the aggregated user dispatching plan curves is consistent with the dispatching plan curve issued by the power grid.
The power grid company can adopt a mode of verifying the response quantity afterwards to calculate the subsidy cost, when the subsidy cost is specifically realized, a user response datum line can be calculated according to a certain rule, each individual user or load aggregator responds according to a scheduling plan curve, and the power grid company adopts a mode of verifying the response quantity afterwards to calculate the subsidy cost.
The user response datum line is calculated according to a certain rule, specifically, the user response datum line needs to select historical load data of different days according to the date type of a response day to average, the date type of the response day specifically includes a working day, a double holiday, a holiday and a special national festival (such as March-March, Yunnan water-splashing festival and the like), the different days can be any number of days in 1-10 days, and the selection is carried out according to the actual situation.
The invention also provides a day-ahead accurate peak clipping system of the virtual power plant.
Referring to fig. 2, fig. 2 is a block diagram illustrating a structural connection of a day-ahead accurate peak clipping system of a virtual power plant according to an embodiment of the present invention.
The embodiment of the invention provides a day-ahead accurate peak clipping system for a virtual power plant, which comprises the following steps:
the peak clipping device comprises a demand receiving module 1, a peak clipping processing module and a peak clipping processing module, wherein the demand receiving module is used for receiving peak clipping demands in the day ahead, and the peak clipping demands in the day ahead comprise an identifier of heavy overload equipment, a peak clipping time period and a power demand curve of each preset time interval in the peak clipping time period;
the real-time power supply path acquisition module 2 is used for acquiring real-time power supply paths of users according to pre-established user standing book data, wherein each real-time power supply path comprises a power supply equipment set which participates in power supply to a corresponding distribution transformer;
a target user set building module 3, configured to query each real-time power supply path according to the identifier of the heavy overload device, and if one or more heavy overload devices are queried in a power supply device set corresponding to the real-time power supply path, use a user corresponding to the real-time power supply path as a target user to build a target user set;
an offer module 4, configured to initiate an offer corresponding to the peak clipping requirement in the day ahead to each target user in the target user set;
and the decision module 5 is used for determining the winning users according to the feedback of the target users for the offers, and issuing a day-ahead scheduling plan curve to each winning user so that each winning user performs peak clipping feedback according to the day-ahead scheduling plan curve.
In an implementation manner, the power supply device includes a 220kV main transformer, a 110kV line, and a 10kV feeder, and the real-time power supply path obtaining module 2 includes:
the acquisition unit is used for acquiring the topological information of the power distribution network in the day ahead, and modifying the topological information of the power distribution network in the day ahead according to power failure overhaul or power supply transfer operation of power supply equipment planned between the day ahead and a peak clipping day;
the first query unit is used for querying 10kV feeders correspondingly connected with the distribution transformers in the user account data according to the modified topology information of the distribution network to form feeder sets corresponding to the distribution transformers;
the second query unit is used for querying a correspondingly connected 110kV main transformer for each 10kV feeder line in the feeder line set according to the topology information of the power distribution network to form a first main transformer set corresponding to the 10kV feeder line;
the third query unit is used for querying a correspondingly connected 110kV line for each 110kV main transformer in the first main transformer set according to the topology information of the power distribution network to form a line set corresponding to the 110kV main transformer;
the fourth query unit is used for querying a correspondingly connected 220kV main transformer for each 110kV line in the line set according to the topology information of the power distribution network to form a second main transformer set corresponding to the 110kV line;
and the path determining unit is used for determining a real-time power supply path from a distribution transformer, a 10kV feeder, a 110kV main transformer, a 110kV line to a 220kV main transformer of each user according to the feeder line set, the first main transformer set, the line set and the second main transformer set.
In one implementation, the obtaining unit includes:
the request sending subunit is used for sending a request for acquiring the topology information of the power distribution network at the present to the power grid system in which the topology information of the power distribution network is stored;
and the receiving subunit is used for receiving the topology information of the power distribution network in the day before, which is sent by the power grid system according to the request.
In an implementable manner, the decision module 5 includes a first sub-module for determining a winning user from feedback of respective target users for the offer, the first sub-module including:
the compensation price determining unit is used for determining the quotation of each target user according to the feedback of each target user aiming at the offer;
the adjusting performance coefficient determining unit is used for determining the adjusting performance coefficient of each target user according to the adjustable response quantity, the adjustable rate and the response time;
and the bid-winning user determining unit is used for determining a bid-winning user and a clearing price by adopting an optimized clearing model according to the quote and the adjusting performance coefficient.
In an implementation manner, the adjustment performance coefficient determining unit is specifically configured to:
the tuning performance coefficient was determined according to the following formula:
R＝p×v×h
in the formula, R represents an adjusting performance coefficient, p is an adjustable response quantity, v is an adjusting speed, and h is a response time length.
In an implementation manner, the winning user determining unit is specifically configured to:
the lowest total cost for realizing unit adjustment performance is taken as a target function, medium scalars of all users in the t-th time period are calculated, and the corresponding maximum clearing price in the t-th time period is taken as a marginal clearing price;
the optimized clearing model is as follows:
the objective function is:
Figure BDA0003554421140000181
the constraint conditions are as follows:
Figure BDA0003554421140000182
in the formula, CfThe total cost of performance adjustment for a virtual power plant unit, T the total peak load regulation duration of the system, N the total number of target users, Px,tOffer for the xth target user during the t period, Gx,tIs the response quantity, R, of the x target user in the t periodxAdjusting the coefficient of performance for the xth target user, Gx,minLower limit of response amount for the x-th target user, Gx,maxUpper limit of response amount for the x-th target user, PminLower limit of compensated price declaration, P, set for systemmaxUpper limit, Q, of compensated price declaration set for systemtThe total power demand of the system peak shaving in the t-th period, hx,tThe response time length h of the xth target user in the t periodtIs the system peak regulation total time length requirement of the t period, vx,tFor the adjustment rate of the xth target user in the t period, vtThe total regulation rate requirement is peaked for the system during period t.
According to an implementation manner of the second aspect of the present invention, the decision module further includes a second sub-module for issuing a day-ahead scheduling plan curve to each winning user, where the second sub-module includes:
the decomposition unit is used for decomposing a day-ahead scheduling plan curve to be issued when the winning user is a load aggregator;
and the sending unit is used for sending the obtained decomposition result to the corresponding load aggregator so that the corresponding load aggregator sends the corresponding scheduling plan curve to each aggregated user according to the decomposition result, and the sum of the scheduling plan curves of each user aggregated by the load aggregator is ensured to be consistent with the scheduling plan curve of the day before the user is issued.
According to a manner that can be realized by the second aspect of the present invention, the decomposition unit is specifically configured to, when the winning user is a load aggregator:
decomposing a day-ahead scheduling plan curve to be issued according to an equal-proportion decomposition strategy; the equal proportion decomposition strategy is to decompose a day-ahead scheduling plan curve to be issued according to the following formula:
Figure BDA0003554421140000191
in the formula, gj,tThe bid amount G of the jth user of the load aggregation provider in the t periodtThe total amount of the load aggregators winning the bid in the t-th time period, m is the total number of the users aggregated by the load aggregators, gj,t' reporting response quantity of the t-th period of the j-th user of the load aggregator.
The invention also provides a day-ahead accurate peak clipping system of the virtual power plant, which comprises the following steps:
the virtual power plant is used for receiving the peak clipping requirement in the day ahead, wherein the peak clipping requirement in the day ahead comprises an identifier of heavy overload equipment, a peak clipping time period and a power requirement curve of each preset time interval in the peak clipping time period; the method comprises the steps that real-time power supply paths of users are obtained according to pre-established user standing book data, wherein each real-time power supply path comprises a corresponding distribution transformer and a power supply equipment set which participates in power supply to the corresponding distribution transformer; inquiring each real-time power supply path according to the identification of the heavy overload equipment, and if one or more heavy overload equipment is inquired in a power supply equipment set corresponding to the real-time power supply path, taking a user corresponding to the real-time power supply path as a target user to construct a target user set; initiating an offer corresponding to the peak clipping requirement in the day ahead to each target user in the target user set; determining winning bid users according to feedback of target users for the offers, and issuing a day-ahead scheduling plan curve to the winning bid users so that the winning bid users respond to a power grid company within the peak clipping period according to the day-ahead scheduling plan curve;
and the power grid company is used for calculating a user response reference line and calculating subsidy cost of the response quantity of the winning user according to the user response reference line.
It should be noted that the virtual power plant according to the embodiment of the present invention may also be used to implement other embodiments of the above method.
As an implementation manner, when the power grid company calculates the user response reference line, the method is specifically configured to:
determining a corresponding response day type when the winning bid user responds, wherein the response day type comprises a working day, a double holiday, a holiday and a special national holiday;
acquiring historical load data of the same type of the corresponding days according to the corresponding response day type;
calculating a corresponding average load curve according to the historical load data and the following formula, and taking the obtained average load curve as a user response reference line:
Figure BDA0003554421140000201
in the formula (I), the compound is shown in the specification,
Figure BDA0003554421140000202
represents the average load of the b winning user in the t period, Gd,b,tThe historical load of the D th winning user in the b th winning user in the t th time period is shown, and D is the corresponding days of the historical load data.
Wherein, the corresponding days of different response day types can be determined according to the actual situation. For example, the number of days for a workday is 5 days, and the number of days for a double holiday is 2 days. The embodiments of the present invention are not limited thereto.
As an implementation manner, when the power grid company calculates subsidy fees for response amounts of winning users according to the user response reference lines, the method is specifically configured to:
setting the actual load monitoring value of the b-th winning user in the t-th period of the response day as Lb,tCorresponding to a medium scalar of Gb,tThe corresponding load of the user response baseline is
Figure BDA0003554421140000203
When it is satisfied with
Figure BDA0003554421140000204
Figure BDA0003554421140000205
The corresponding subsidy cost MbCalculated as follows:
Figure BDA0003554421140000206
wherein T is the total peak-load time of the system, Pb，tThe bid price of the b-th winning user in the t-th time period is quoted;
when it is satisfied with
Figure BDA0003554421140000207
The corresponding subsidy cost MbCalculated as follows:
Figure BDA0003554421140000208
when it is satisfied with
Figure BDA0003554421140000209
The corresponding subsidy cost MbCalculated as follows:
Figure BDA00035544211400002010
the invention also provides a day-ahead accurate peak clipping device for the virtual power plant, which comprises:
a memory to store instructions; the instruction is an instruction which can realize the virtual power plant day-ahead accurate peak clipping method according to any one embodiment;
a processor to execute the instructions in the memory.
The invention also provides a computer readable storage medium, on which a computer program is stored, which when executed by a processor implements the virtual power plant day-ahead precise peak clipping method according to any one of the above embodiments.
According to the embodiment of the invention, by utilizing the load aggregation and informatization regulation and control means of the virtual power plant, the real-time power supply path of the user is obtained based on the topological association relation of the distribution network, and the accurate peak clipping requirement on a certain main transformer, a distribution transformer or a feeder line is realized, so that not only can the reduction of power supply quality and social influence caused by orderly power utilization be avoided, but also the accuracy of a peak clipping invitation range can be improved, and the user invitation in a large range can be avoided, thereby effectively solving the technical problem of lower accuracy caused by the fact that the current peak clipping invitation range cannot be accurately determined and the effective interaction with the corresponding user can be realized when the current virtual power plant carries out peak clipping, being beneficial to reducing the invalid response of a power grid, and reducing the subsidy cost of calling load side resources of the virtual power plant.
It can be clearly understood by those skilled in the art that, for convenience and simplicity of description, the specific working processes of the system, the device, and the module described above may refer to the corresponding processes in the foregoing method embodiments, and the specific beneficial effects of the system, the device, and the module described above may refer to the corresponding beneficial effects in the foregoing method embodiments, which are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. For example, the above-described device embodiments are merely illustrative, and for example, the division of the modules is only one logical division, and other divisions may be realized in practice, for example, a plurality of modules or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or modules, and may be in an electrical, mechanical or other form.
The modules described as separate parts may or may not be physically separate, and parts displayed as modules may or may not be physical modules, may be located in one place, or may be distributed on a plurality of network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment.
In addition, functional modules in the embodiments of the present invention may be integrated into one processing module, or each of the modules may exist alone physically, or two or more modules are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode.
The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; although the present invention has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.

Claims (14)

1. A day-ahead accurate peak clipping method for a virtual power plant is characterized by comprising the following steps:
receiving day-ahead peak clipping requirements, wherein the day-ahead peak clipping requirements comprise the identification of heavy overload equipment, a peak clipping period and a power requirement curve of each preset time interval in the peak clipping period;
the method comprises the steps that real-time power supply paths of users are obtained according to pre-established user standing book data, wherein each real-time power supply path comprises a corresponding distribution transformer and a power supply device set which participates in power supply to the corresponding distribution transformer;
inquiring each real-time power supply path according to the identification of the heavy overload equipment, and if one or more heavy overload equipment is inquired in a power supply equipment set corresponding to the real-time power supply path, taking a user corresponding to the real-time power supply path as a target user to construct a target user set;
initiating an offer corresponding to the peak clipping requirement in the day ahead to each target user in the target user set;
and determining winning-bid users according to the feedback of each target user for the offer, and issuing a day-ahead scheduling plan curve to each winning-bid user so that each winning-bid user responds to the power grid company within the peak clipping period according to the day-ahead scheduling plan curve.
2. The method of claim 1, wherein the power supply equipment comprises a 220kV main transformer, a 110kV line and a 10kV feeder line, and the obtaining of the real-time power supply path of each user according to the pre-established user ledger data comprises:
acquiring the topological information of the power distribution network in the day ahead, and modifying the topological information of the power distribution network in the day ahead according to scheduled power-off maintenance or power supply switching operation of power supply equipment between the day ahead and a peak clipping day;
inquiring 10kV feeders correspondingly connected with the distribution transformers in the user ledger data according to the modified topology information of the distribution network to form feeder sets corresponding to the distribution transformers;
for each 10kV feeder line in the feeder line set, inquiring a correspondingly connected 110kV main transformer according to the topology information of the power distribution network to form a first main transformer set corresponding to the 10kV feeder line;
for each 110kV main transformer in the first main transformer set, inquiring the correspondingly connected 110kV lines according to the topology information of the power distribution network to form a line set corresponding to the 110kV main transformers;
for each 110kV line in the line set, inquiring a correspondingly connected 220kV main transformer according to the topology information of the power distribution network to form a second main transformer set corresponding to the 110kV line;
and determining real-time power supply paths from a distribution transformer, a 10kV feeder line, a 110kV main transformer, a 110kV line to a 220kV main transformer of each user according to the feeder line set, the first main transformer set, the line set and the second main transformer set.
3. The virtual power plant day-ahead accurate peak clipping method according to claim 2, wherein the obtaining day-ahead power distribution network topology information comprises:
sending a request for acquiring the topology information of the power distribution network at present to a power grid system in which the topology information of the power distribution network is stored;
and receiving the topology information of the power distribution network in the day before, which is sent by the power grid system according to the request.
4. The virtual power plant day-ahead precise peak clipping method according to claim 1, wherein the determining of winning users according to feedback of each target user for the offer comprises:
determining the price of each target user according to the feedback of each target user for the offer;
determining the adjustment performance coefficient of each target user according to the adjustable response quantity, the adjustment rate and the response time;
and determining winning users and clearing prices by adopting an optimized clearing model according to the quoted price and the adjusting performance coefficient.
5. The method of claim 4, wherein the adjusting performance coefficients of the target users are determined according to the adjustable response, the adjusting rate and the response duration, and specifically comprises: the tuning performance coefficient was determined according to the following formula:
R＝p×v×h
in the formula, R represents an adjusting performance coefficient, p is an adjustable response quantity, v is an adjusting speed, and h is a response time length.
6. The method of claim 5, wherein the optimal clearing model is used to determine winning bid users and clearing prices, and specifically comprises:
the lowest total cost for realizing unit adjustment performance is taken as a target function, medium scalars of all users in the t-th time period are calculated, and the corresponding maximum clearing price in the t-th time period is taken as a marginal clearing price;
the optimized clearing model comprises the following steps:
the objective function is:
Figure FDA0003554421130000021
the constraint conditions are as follows:
Figure FDA0003554421130000031
in the formula, CfFor virtual plant unit regulationThe total cost of performance, T is the total peak-load-adjusting duration of the system, N is the total number of target users, Px,tOffer for the xth target user during the t period, Gx,tIs the response quantity, R, of the x target user in the t periodxAdjusting the coefficient of performance for the xth target user, Gx,minLower limit of response for the x-th target user, Gx,maxIs the upper limit of response amount of the x-th target user, PminLower limit of compensated price declaration, P, set for systemmaxUpper limit, Q, of compensated price declaration set for systemtThe total power demand of the system peak shaving in the t-th period, hx,tThe response time length h of the xth target user in the t periodtIs the system peak regulation total time length requirement of the t period, vx,tFor the adjustment rate of the xth target user in the t period, vtThe total regulation rate requirement is peaked for the system during period t.
7. The method of claim 1, wherein the issuing a day-ahead scheduling plan curve to each winning subscriber comprises:
if the successful bid user is a load aggregator, decomposing a day-ahead scheduling plan curve to be issued;
and sending the obtained decomposition result to a corresponding load aggregator, so that the corresponding load aggregator sends corresponding scheduling plan curves to the aggregated users according to the decomposition result, and the sum of the scheduling plan curves of the users aggregated by the load aggregator is ensured to be consistent with the day-ahead scheduling plan curve to be issued.
8. The method of claim 7, wherein the decomposing of the future scheduling plan curve to be issued is specifically:
decomposing a day-ahead scheduling plan curve to be issued according to an equal-proportion decomposition strategy; the equal proportion decomposition strategy is to decompose a day-ahead scheduling plan curve to be issued according to the following formula:
Figure FDA0003554421130000032
in the formula, gj,tThe bid amount G of the jth user of the load aggregation provider in the t periodtThe load aggregation provider wins the total amount in the t-th time period, m is the total user number time period aggregated by the load aggregation provider, gj,t ′And reporting the response quantity of the jth user of the load aggregation operator in the tth period.
9. A virtual power plant day-ahead accurate peak clipping system, comprising:
the peak clipping device comprises a demand receiving module, a peak clipping processing module and a peak clipping processing module, wherein the demand receiving module is used for receiving peak clipping demands in the day ahead, and the peak clipping demands in the day ahead comprise the identification of heavy overload equipment, a peak clipping time period and a power demand curve of each preset time interval in the peak clipping time period;
the real-time power supply path acquisition module is used for acquiring real-time power supply paths of users according to pre-established user standing book data, wherein each real-time power supply path comprises a corresponding distribution transformer and a power supply equipment set which participates in power supply to the corresponding distribution transformer;
a target user set building module, configured to query each real-time power supply path according to the identifier of the heavy overload device, and if one or more heavy overload devices are queried in a power supply device set corresponding to the real-time power supply path, use a user corresponding to the real-time power supply path as a target user to build a target user set;
an offer module, configured to initiate an offer corresponding to the peak clipping requirement in the day ahead to each target user in the target user set;
and the decision module is used for determining the winning bid users according to the feedback of the target users to the offers and issuing a day-ahead scheduling plan curve to the winning bid users so that the winning bid users perform peak clipping feedback according to the day-ahead scheduling plan curve.
10. A virtual power plant day-ahead accurate peak clipping system, comprising:
the virtual power plant is used for receiving the peak clipping requirement in the day ahead, wherein the peak clipping requirement in the day ahead comprises an identifier of heavy overload equipment, a peak clipping time period and a power requirement curve of each preset time interval in the peak clipping time period; the method comprises the steps that real-time power supply paths of users are obtained according to pre-established user standing book data, wherein each real-time power supply path comprises a corresponding distribution transformer and a power supply equipment set which participates in power supply to the corresponding distribution transformer; inquiring each real-time power supply path according to the identification of the heavy overload equipment, and if one or more heavy overload equipment is inquired in a power supply equipment set corresponding to the real-time power supply path, taking a user corresponding to the real-time power supply path as a target user to construct a target user set; initiating an offer corresponding to the peak clipping requirement in the day ahead to each target user in the target user set; determining winning bid users according to feedback of target users for the offers, and issuing a day-ahead scheduling plan curve to the winning bid users so that the winning bid users respond to a power grid company within the peak clipping period according to the day-ahead scheduling plan curve;
and the power grid company is used for calculating a user response reference line and calculating subsidy cost of the response quantity of the winning user according to the user response reference line.
11. The virtual power plant day-ahead precise peak clipping system of claim 10, wherein the grid company, when calculating the user response baseline, is specifically configured to:
determining a corresponding response day type when the winning bid user responds, wherein the response day type comprises a working day, a double holiday, a holiday and a special national holiday;
acquiring historical load data of the same type of the corresponding days according to the corresponding response day type;
calculating a corresponding average load curve according to the historical load data and the following formula, and taking the obtained average load curve as a user response reference line:
Figure FDA0003554421130000051
in the formula (I), the compound is shown in the specification,
Figure FDA0003554421130000052
represents the average load of the b winning user in the t period, Gd,b,tThe historical load of the ith winning user in the ith day in the tth period is shown, and D is the corresponding number of days of the historical load data.
12. The virtual power plant day-ahead accurate peak clipping system of claim 10, wherein the grid company is specifically configured to, when calculating subsidy cost for the response of winning subscribers according to the subscriber response benchmark:
setting the actual load monitoring value of the b-th winning user in the t-th period of the response day as Lb,tCorresponding to a medium scalar of Gb,tThe corresponding load of the user response baseline is
Figure FDA0003554421130000053
When it is satisfied with
Figure FDA0003554421130000054
Figure FDA0003554421130000055
The corresponding subsidy cost MbCalculated as follows:
Figure FDA0003554421130000056
wherein T is the total peak-load time of the system, Pb,tThe bid price of the b-th winning user in the t-th time period is quoted;
when it is satisfied with
Figure FDA0003554421130000057
The corresponding subsidy cost MbIs as followsAnd (3) calculating:
Figure FDA0003554421130000058
when it is satisfied with
Figure FDA0003554421130000059
Time, corresponding subsidy cost MbCalculated as follows:
Figure FDA00035544211300000510
13. a virtual power plant day-ahead accurate peak clipping device, comprising:
a memory to store instructions; the instructions are instructions for realizing the virtual power plant day-ahead precise peak clipping method according to any one of claims 1-8;
a processor to execute the instructions in the memory.
14. A computer-readable storage medium, characterized in that the computer-readable storage medium has stored thereon a computer program which, when being executed by a processor, implements the virtual plant dayfront precision peak clipping method according to any one of claims 1-8.
CN202210270347.2A 2022-03-18 2022-03-18 Virtual power plant day-ahead accurate peak clipping method, system, equipment and storage medium Pending CN114583708A (en)

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Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114925546A (en) * 2022-06-17 2022-08-19 国网北京市电力公司 Method and device for decomposing medium bid amount by participation of cold chain load polymerization in power grid regulation and control and storage medium
CN115187144A (en) * 2022-09-09 2022-10-14 国网信息通信产业集团有限公司 Virtual power plant power flow method, device, equipment, medium and program product
WO2024109105A1 (en) * 2022-11-24 2024-05-30 广东电网有限责任公司佛山供电局 Distributed renewable energy cluster scheduling method and apparatus
CN118469633A (en) * 2024-07-11 2024-08-09 广东蚂蚁金谷能源科技有限公司 Declaration prediction analysis method and system for power market demand response

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114925546A (en) * 2022-06-17 2022-08-19 国网北京市电力公司 Method and device for decomposing medium bid amount by participation of cold chain load polymerization in power grid regulation and control and storage medium
CN115187144A (en) * 2022-09-09 2022-10-14 国网信息通信产业集团有限公司 Virtual power plant power flow method, device, equipment, medium and program product
WO2024109105A1 (en) * 2022-11-24 2024-05-30 广东电网有限责任公司佛山供电局 Distributed renewable energy cluster scheduling method and apparatus
CN118469633A (en) * 2024-07-11 2024-08-09 广东蚂蚁金谷能源科技有限公司 Declaration prediction analysis method and system for power market demand response

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