CN114925546A - Method and device for decomposing medium bid amount by participation of cold chain load polymerization in power grid regulation and control and storage medium - Google Patents
Method and device for decomposing medium bid amount by participation of cold chain load polymerization in power grid regulation and control and storage medium Download PDFInfo
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Abstract
The invention discloses a method, a device and a storage medium for decomposing a medium bid amount by participating in power grid regulation and control in cold chain load aggregation, wherein the method comprises the following steps: acquiring constraint conditions related to aggregators and cold chain load users in a trading daily peak regulation response period; acquiring a maximum profit optimization objective function of an aggregator; and calculating the equipment operation plan of each cold chain load user according to the constraint conditions and the maximum profit optimization objective function of the aggregator. The method can reasonably decompose the medium-bid amount of the aggregator to each cold chain load user, formulate the equipment operation plan of each cold chain load user, and improve the accuracy of power grid peak regulation.
Description
Technical Field
The invention relates to a method and a device for decomposing a medium bid amount by participating in power grid regulation and control in cold chain load aggregation and a storage medium, and belongs to the technical field of power grid peak regulation.
Background
With the rapid development of new energy such as wind power, photovoltaic and the like in China, the power generation proportion of the new energy is increased year by year, and due to the uncertainty of the power generation of the new energy, the large-scale grid connection of the new energy has great difficulty. The controllable load on the demand side is considered as an effective resource for promoting the suppression of the fluctuation of new energy and the absorption of the new energy. Due to the continuous introduction of controllable load resources on the demand side, the power system is being converted from a traditional 'supply-demand-following' mode to a 'source-load interaction' mode.
The cold chain load is one of controllable loads and has the characteristics of random load and high power consumption. The scale of the cold chain is continuously increased, which undoubtedly aggravates the urban power shortage, and the huge load generated randomly is already the burden of the power grid. The cold chain load resources participate in the power peak regulation market, so that the cold chain load resources are orderly managed and controlled, and the cold chain load resources can be used as an effective measure for stabilizing the fluctuation of a power grid. The cold chain load users need to use a load aggregator as a market main body to participate in the power peak regulation market, and after the aggregator participates in the market bidding, how to reasonably distribute the bid amount to each cold chain load user is a problem that cold chain load resources participate in the power peak regulation market urgently to solve.
Disclosure of Invention
In order to solve the problems in the prior art, the invention provides a method, a device and a storage medium for decomposing the bid amount of a cold chain load aggregation participating power grid regulation, and realizes the function of decomposing the bid amount of an aggregator to a cold chain load user based on market rules and production environment requirements.
In order to solve the technical problems, the invention adopts the following technical means:
in a first aspect, the invention provides a bid amount decomposition method for participating in power grid regulation and control of cold chain load aggregation, which comprises the following steps:
acquiring constraint conditions related to aggregators and cold chain load users in a trading daily peak regulation response period;
acquiring a maximum profit optimization objective function of an aggregator;
and calculating the equipment operation plan of each cold chain load user according to the constraint conditions and the maximum profit optimization objective function of the aggregator.
With reference to the first aspect, further, the constraint condition that the aggregator is related to the cold chain load user in the transaction daily peak shaving response period includes: the method comprises the steps of trading day peak shaving response period aggregator effective response load constraint conditions, trading day peak shaving response period aggregator bid amount constraint conditions, cold chain load user production environment temperature constraint conditions and cold chain load user necessary startup period constraint conditions.
With reference to the first aspect, further, the trading daily peak shaver response period aggregator effective response load constraint condition is as follows:
wherein x is n,t Device status, P, for cold chain load user n during time period t n Rated power, P, for cold-chain load user n 0,max For the maximum baseline load during the peak shaver response period,
to respond to the average load for the cold chain load during the peak shaver response period,
the average value of the baseline load in the peak shaving response period is N, which is 1,2, …, and N is the total number of cold chain load users.
With reference to the first aspect, further, the trade daily peak shaver response period aggregator bid amount constraint is as follows:
wherein the content of the first and second substances,
is the baseline load of the aggregator,
and (4) the bid amount of the load aggregator is released for the time period t.
With reference to the first aspect, further, the cold chain load user production environment temperature constraints are as follows:
wherein, the first and the second end of the pipe are connected with each other,
minimum cold chain temperature, T, preset for cold chain load user n during time period T n,t The temperature of user n during time period t for cold chain loading,
the maximum cold chain temperature preset in the time period t for the cold chain load user n;
the change relationship of the production environment temperature of the cold chain load user is as follows:
wherein, T n,t+1 Representing the temperature, x, of the cold chain load user n during a time period t +1 n,t The device status for the cold chain load user n at time period t,
the maximum on time for user n with a cold chain load,
the maximum adjustable stop time of the user n for the cold chain load.
With reference to the first aspect, further, the constraint condition of the time period required for the cold chain load user to start up is as follows: x is the number of n,t ＝1。
With reference to the first aspect, further, the expression of the aggregator maximum benefit optimization objective function is as follows:
wherein, the first and the second end of the pipe are connected with each other,
clearing price, α, for time t market t ＝{0，1}，α t Indicating whether or not period t is a demand response period, x n,t Setting of time period t for cold chain load user nStandby State, P n The rated power of the user n for the cold chain load,
the base line load value of the cold chain load user N in the time period T is N, wherein N is 1,2, …, N is the total number of the cold chain load users, T is 1,2, …, T is the total time period of the daily peak shaving response of the transaction, and epsilon is a preset constant.
And in combination with the first aspect, further, a medium bid amount decomposition model of the aggregation commercial users participating in power grid regulation is constructed according to constraint conditions and the maximum profit optimization objective function of the aggregation provider, the model is solved by adopting a mixed integer linear programming method, and the equipment operation plan of each cold chain load user is calculated.
In a second aspect, the invention provides a bid amount resolving device for participating in power grid regulation and control of cold chain load aggregation, which comprises a processor and a storage medium;
the storage medium is to store instructions;
the processor is configured to operate in accordance with the instructions to perform the steps of the method of the first aspect.
In a third aspect, the invention proposes a computer-readable storage medium having stored thereon a computer program which, when being executed by a processor, carries out the steps of the method according to the first aspect.
The following advantages can be obtained by adopting the technical means:
the invention provides a method, a device and a storage medium for bid amount decomposition of cold chain load aggregation participation power grid regulation, wherein a scalar decomposition model is constructed through a plurality of constraint conditions related to aggregators and cold chain load users in a trading daily peak regulation response period and a maximum profit optimization target of the aggregators, and the scalar decomposition model is reasonably distributed in the trading daily peak regulation response period to obtain an equipment operation plan of each cold chain load user, so that a foundation is laid for cold chain load resources to participate in power grid peak regulation, the cold chain load resources are orderly managed and controlled based on the cold chain load user equipment operation plan, the accuracy of power grid peak regulation is improved, and the stability of a power grid is improved.
The method can decompose the medium bid amount of the aggregator to each cold chain load user and make an equipment operation plan of each cold chain load user in the process of cold chain load aggregation participating in power grid peak regulation on the premise of meeting feasibility, safety, efficiency and reliability.
Drawings
Fig. 1 is a flowchart of steps of a moderate bid amount decomposition method for participating in power grid regulation and control by cold chain load aggregation according to the present invention.
Detailed Description
The technical scheme of the invention is further explained by combining the accompanying drawings as follows:
example 1:
the invention provides a method for decomposing a medium bid amount by participating in power grid regulation and control in cold chain load polymerization, which specifically comprises the following steps as shown in figure 1:
and step A, acquiring constraint conditions related to the aggregators and the cold chain load users in the transaction daily peak regulation response period.
In the embodiment of the invention, the constraint conditions of the aggregators and the cold chain load users in the transaction daily peak regulation response period mainly comprise: the method comprises the steps of trading day peak shaving response period aggregator effective response load constraint conditions, trading day peak shaving response period aggregator bid amount constraint conditions, cold chain load user production environment temperature constraint conditions and cold chain load user necessary startup period constraint conditions.
Step A01, trading day peak-shaving response period aggregator effective response load constraint conditions include a maximum load constraint condition and an average load constraint condition, the maximum load constraint condition: during the demand response period, the actual load is less than the maximum value of the historical baseline load; average load constraint conditions: in the demand response period, the average load of the actual load is smaller than the average value of the historical baseline load, which is as follows:
wherein x is n,t Device status, P, for cold chain load user n during time period t n Rated power, P, for cold-chain load user n 0,max For the maximum baseline load during the peak shaver response period,
to respond to the average load for the cold chain load during the peak shaver response period,
the average value of the baseline load in the peak shaving response period is N, which is 1,2, …, and N is the total number of cold chain load users.
Step A02, trading day peak-load response period aggregator bid amount constraint condition: in the demand response period, the actual load is smaller than the historical baseline load-middle scalar, that is, the actual load adjustment amount is greater than or equal to the middle scalar, specifically as follows:
wherein the content of the first and second substances,
in order to be the load of the aggregator,
is the baseline load of the aggregator,
and (4) clearing and winning the bid amount for the time period t load aggregator.
Step A03, cold chain load user production environment temperature constraint condition: the temperature of the refrigeration house is within a preset temperature interval, which is as follows:
wherein the content of the first and second substances,
minimum cold chain temperature, T, preset for cold chain load user n during time period T n,t The temperature of user n during time period t for cold chain loading,
the maximum cold chain temperature preset for the cold chain load user n in the time period t. In the embodiment of the present invention, it is,
is at a temperature of-22 c,
is-18 ℃.
In the embodiment of the invention, the variation relationship of the production environment temperature of the cold chain load user is as follows:
wherein, T n,t+1 Representing the temperature of the cold chain load user n during a time period t +1,
the maximum boot time for the cold chain load user n,
the maximum adjustable stop time of the user n for the cold chain load.
Step A04, the constraint condition of the time period of the cold chain load user starting up: the user can require refrigeration plant must start up at some time quantum, for example in freezer access goods in-process, the freezer door belongs to the open mode, can open refrigeration plant this moment generally, prevents that freezer temperature from rising too fast and unsatisfied temperature requirement, so at the access goods time quantum, refrigeration plant must start up. The constraint conditions of the time interval when a cold chain load user must start up are as follows: x is a radical of a fluorine atom n,t Assume that cold chain load user 1 must be at time period 10, 1Starting up, then x 1,10 ＝1。
And step B, taking the maximum income of the aggregator as an optimization target, and acquiring an optimization target function of the maximum income of the aggregator, wherein the expression is as follows:
wherein the content of the first and second substances,
clearing price, α, for time t market t 1, {0, 1}, when α t When 1, the representation period t is a demand response period, otherwise α t ＝0，
And (3) setting the baseline load value of the cold-chain load user n in a time period T, wherein T is 1,2, …, T is the total time period of the daily peak shaving response of the transaction, and epsilon is a preset constant.
And C, taking the formulas (7) - (11) as constraint conditions, taking the maximization of the benefits of the aggregator as an optimization target, namely the formula (12), and constructing a bid amount decomposition model of the aggregator user participating in power grid regulation.
Step D, calculating an equipment operation plan x of each cold chain load user based on the constructed medium bid amount decomposition model of the aggregator user participating in power grid regulation n,t 。
In the embodiment of the invention, a mixed integer linear programming method is adopted to solve the model, and the equipment operation plan of each cold chain load user is calculated.
The model solving process is concretely as follows:
let decision variables x, y, z, where x ═ x 1 x 2 … x 24 ] T ，y＝[y 1 y 2 … y 44 ] T ，z＝[z 1 z 2 … z 24 ] T The cold chain load users 1,2, and 3 are in an on-off state for 24 hours.
The aggregator maximum benefit optimization objective function can be written as:
minimize M 1 x+M 2 y+M 3 z (13)
wherein, M n ＝[m n,1 m n,2 … m n,24 ]，
Where n is {1,2,3}, and t is {1,2, …,24 }.
(1) Temperature limit constraint
According to equation (11), the high temperature limit constraint is:
I 1 A 1 x≤B 1 (15)
I 1 A 2 y≤B 2 (16)
I 1 A 3 z≤B 3 (17)
wherein, the first and the second end of the pipe are connected with each other,
B n ＝[b n,1 b n,2 … b n,24 ] T (19)
The low temperature limit constraints are:
I 2 A 1 x≤D 1 (23)
I 2 A 2 y≤D 2 (24)
I 2 A 3 z≤D 3 (25)
wherein the content of the first and second substances,
D n ＝[d n,1 d n,2 … d n,24 ] T (26)
(2) load aggregator effective response load constraint
The load aggregator response period maximum load should be less than the baseline maximum load:
C 1 x+C 2 y+C 3 z≤P 0,max (29)
wherein, C n ＝[c n,1 c n,2 … c n,24 ]And c is and c n,t ＝P n α t 。
The average load of the load aggregator over the response period should be less than the baseline average load:
wherein E is n ＝[e n,1 e n,2 … e n,24 ]，
(3) Aggregate bid amount constraints
The response period aggregator bid amount constraint is:
G 1 x+G 2 y+G 3 z≤H (32)
wherein G is n ＝[g n,1 g n,2 … g n,24 ]，H＝[h 1 h 2 … h 24 ] T ，
g n,t ＝P n α n,t (33)
In the above, the constructed model of the invention is converted into a standard form of a linear programming problem, and then the matlab mixed integer linear programming solving method is used for calculating decision variables x, y and z, so that the on-off state of each cold chain load user can be obtained.
Example 2:
the invention also provides a medium bid amount decomposition device for the cold chain load aggregation to participate in the regulation and control of the power grid, which comprises a processor and a storage medium; wherein the storage medium is used for storing instructions; the processor is configured to operate according to the instructions to perform the steps of the scalar decomposition method in embodiment 1.
Example 3:
the present invention also proposes a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the bid amount decomposition method in embodiment 1.
Compared with the prior art, the method and the system have the advantages that the intermediate scalar is reasonably distributed in the daily trading peak shaving response period through a plurality of constraint conditions related to the aggregators and the cold chain load users in the daily trading peak shaving response period and the maximum profit optimization target of the aggregators, so that the equipment operation plan of each cold chain load user is obtained, the foundation is laid for cold chain load resources to participate in power grid peak shaving, the cold chain load resources are orderly managed and controlled based on the equipment operation plan of the cold chain load users, the accuracy of power grid peak shaving is improved, and the stability of a power grid is improved.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The above description is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, several modifications and variations can be made without departing from the technical principle of the present invention, and these modifications and variations should also be regarded as the protection scope of the present invention.
Claims (10)
1. A medium-bid-quantity decomposition method for participating in power grid regulation and control of cold-chain load polymerization is characterized by comprising the following steps:
acquiring constraint conditions related to aggregators and cold chain load users in a trading daily peak regulation response period;
acquiring a maximum profit optimization objective function of an aggregator;
and calculating the equipment operation plan of each cold chain load user according to the constraint conditions and the maximum profit optimization objective function of the aggregator.
2. The method for resolving the bid amount for cold chain load aggregation participating in power grid regulation as claimed in claim 1, wherein the constraint conditions related to the cold chain load users of the aggregators in the trading daily peak regulation response period comprise: the method comprises the steps of trading daily peak regulation response period aggregator effective response load constraint conditions, trading daily peak regulation response period aggregator bid amount constraint conditions, cold chain load user production environment temperature constraint conditions and cold chain load user startup period constraint conditions.
3. The bid amount decomposition method for cold chain load aggregation to participate in power grid regulation and control as claimed in claim 2, wherein the aggregator effective response load constraint conditions during the trade daily peak regulation response period are as follows:
wherein x is n,t Device status, P, for a cold chain load user n during a time period t n Rated power, P, for cold-chain load user n 0,max For the maximum baseline load during the peak shaver response period,
to respond to the average load for the cold chain load during the peak shaver response period,
the average value of the baseline load in the peak shaving response period is N, 1,2, …, and N is the total number of cold chain load users.
4. The bid amount decomposition method for cold chain load aggregation to participate in power grid regulation and control according to claim 3, wherein bid amount constraint conditions of aggregators in a trade daily peak regulation response period are as follows:
wherein the content of the first and second substances,
is the baseline load of the aggregator,
and (4) the bid amount of the load aggregator is released for the time period t.
5. The method for decomposing the medium bid amount by the cold chain load aggregation participating in the power grid regulation as claimed in claim 2, wherein the cold chain load user production environment temperature constraint conditions are as follows:
wherein the content of the first and second substances,
minimum cold chain temperature, T, preset for cold chain load user n during time period T n,t The temperature of user n during time period t for cold chain loading,
the maximum cold chain temperature preset in the time period t for the cold chain load user n;
the change relation of the production environment temperature of the cold chain load user is as follows:
wherein, T n,t+1 Representing the temperature, x, of the cold chain load user n during a time period t +1 n,t The device status for the cold chain load user n at time period t,
the maximum on time for user n with a cold chain load,
the maximum adjustable stop time for the cold chain load user n.
6. The method for resolving the bid amount for cold chain load aggregation participation power grid regulation and control according to claim 2, wherein the constraint condition of the necessary startup period of a cold chain load user is as follows: x is a radical of a fluorine atom n,t ＝1。
7. The method for decomposing the bid amount for participating in power grid regulation and control in cold chain load aggregation according to claim 1, wherein an expression of a maximum profit optimization objective function of an aggregator is as follows:
wherein the content of the first and second substances,
clearing price, α, for time t market t ＝{0，1}，α t Indicating whether or not period t is a demand response period, x n,t Device status, P, for cold chain load user n during time period t n The rated power of the user n for the cold chain load,
the base line load value of the cold chain load user N in the time period T is N, wherein N is 1,2, …, N is the total number of the cold chain load users, T is 1,2, …, T is the total time period of the daily peak shaving response of the transaction, and epsilon is a preset constant.
8. The method for decomposing the bid amount for cold chain load aggregation to participate in power grid regulation and control according to claim 1 is characterized in that a bid amount decomposition model for aggregation commercial users to participate in power grid regulation and control is constructed according to constraint conditions and an aggregator maximum profit optimization objective function, the model is solved by adopting a mixed integer linear programming method, and an equipment operation plan of each cold chain load user is calculated.
9. A bid amount resolving device for participating in power grid regulation and control of cold chain load aggregation is characterized by comprising a processor and a storage medium;
the storage medium is used for storing instructions;
the processor is configured to operate in accordance with the instructions to perform the steps of the method according to any one of claims 1 to 8.
10. Computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 8.
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