CN117154772A - Day-ahead energy storage regulation and control method and device, terminal equipment and readable storage medium - Google Patents
Day-ahead energy storage regulation and control method and device, terminal equipment and readable storage medium Download PDFInfo
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
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Abstract
The invention provides a method and a device for regulating and controlling solar energy storage, terminal equipment and a readable storage medium, wherein the method for regulating and controlling solar energy storage comprises the following steps: acquiring various rated parameters of a target energy storage system based on electrochemical energy storage characteristics, and determining a first constraint condition corresponding to the target energy storage system according to the various rated parameters; solving an objective function of a preset SCUC model based on a first constraint condition; taking the first constraint condition and a preset economic parameter calculation formula as a second constraint condition, and solving an objective function of a preset SCED model based on an output result of the SCUC model and the second constraint condition; and regulating and controlling the target energy storage system based on the output result of the SCUC model and the output result of the SCED model. The invention realizes the daily energy storage regulation and control of the energy storage system through the combination of the SCUC model and the SCED model and the creative design of the constraint conditions of the two models.
Description
Technical Field
The invention belongs to the technical field of energy storage regulation and control, and particularly relates to a method and device for regulating and controlling energy storage in the future, terminal equipment and readable storage medium.
Background
In recent years, the development and utilization of renewable energy sources in China are brought into the national energy source development strategy, and large pressure is brought to the peak regulation and frequency modulation of a power grid by the installation and application of large-scale wind power and photovoltaic due to the randomness and fluctuation of wind power and photovoltaic, limited peak regulation and frequency modulation capacity of a power system and other factors. The energy storage device has the characteristics of high response speed, strong flexibility, high efficiency, bidirectional power regulation and the like, and can effectively provide auxiliary services such as frequency modulation, peak regulation and the like, so that the problems of peak regulation and frequency modulation are solved, the pressure of a thermal power unit of an electric power system is relieved, and the new energy consumption capacity is improved.
Therefore, with the reduction of energy storage cost and the progress of energy storage technology in recent years, the application scale of various types of energy storage is also increasing. At present, one main research direction of the auxiliary service of energy storage and peak shaving is the configuration of energy storage capacity and the optimization of resource scheduling, and how to optimally schedule the configuration of the energy storage resource and the peak shaving transaction in the future is a problem to be solved by those skilled in the art.
Disclosure of Invention
The invention aims to provide a method and a device for regulating and controlling daily energy storage, terminal equipment and a readable storage medium, so as to optimally schedule the configuration of the daily energy storage resources to participate in peak shaving transaction.
In a first aspect of an embodiment of the present invention, a method for regulating and controlling energy storage in the future is provided, including:
acquiring various rated parameters of a target energy storage system based on electrochemical energy storage characteristics, and determining a first constraint condition corresponding to the target energy storage system according to the various rated parameters;
solving an objective function of a preset SCUC model based on the first constraint condition to obtain an output result of the SCUC model; taking the first constraint condition and a preset economic parameter calculation formula as a second constraint condition, and solving a target function of a preset SCED model based on an output result of the SCUC model and the second constraint condition to obtain the output result of the SCED model;
and regulating and controlling the target energy storage system based on the output result of the SCUC model and the output result of the SCED model.
In a second aspect of the embodiment of the present invention, there is provided a day-ahead energy storage regulation device, including:
the data acquisition module is used for acquiring various rated parameters of the target energy storage system based on electrochemical energy storage characteristics and determining a first constraint condition corresponding to the target energy storage system according to the various rated parameters;
the model solving module is used for solving a target function of a preset SCUC model based on the first constraint condition to obtain an output result of the SCUC model; taking the first constraint condition and a preset economic parameter calculation formula as a second constraint condition, and solving a target function of a preset SCED model based on an output result of the SCUC model and the second constraint condition to obtain the output result of the SCED model;
And the energy storage regulation and control module is used for regulating and controlling the target energy storage system based on the output result of the SCUC model and the output result of the SCED model.
In a third aspect of the embodiment of the present invention, a terminal device is provided, which includes a memory, a processor, and a computer program stored in the memory and capable of running on the processor, where the processor implements the steps of the method for regulating and controlling energy storage before date when executing the computer program.
In a fourth aspect of the embodiments of the present invention, there is provided a computer readable storage medium storing a computer program which when executed by a processor implements the steps of the above-described day old energy storage regulation method.
The daily energy storage regulation and control method and device, the terminal equipment and the readable storage medium provided by the embodiment of the invention have the beneficial effects that:
according to the embodiment of the invention, various rated parameters of a target energy storage system are obtained according to an electrochemical energy storage system of the energy storage system, the constraint conditions of the SCUC model are calculated and obtained on the basis, and the optimization of the energy storage system unit combination can be realized on the basis of the SCUC model. On the basis, the embodiment of the invention also determines the constraint condition of the SCED model according to the constraint condition of the SCUC model and a preset economic parameter calculation formula, and can realize the optimization of the economic dispatch of the energy storage system based on the SCED model. That is, based on the output results of the SCUC model and the SCED model, the future energy storage regulation and control of the target energy storage system can be realized. That is, the embodiment of the invention realizes the regulation and control of the energy storage in the future through the combination of the SCUC model and the SCED model and the creative design of the constraint conditions of the two models, and solves the problems in the prior art.
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In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the embodiments or the description of the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings can be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic flow chart of a method for regulating and controlling energy storage in the future according to an embodiment of the invention;
FIG. 2 is a topology diagram of an IEEE39 node power system provided in an embodiment of the invention;
FIG. 3 is a graph of the bid amount in the frequency modulation market of each unit of the energy storage system according to an embodiment of the present invention;
FIG. 4 is a graph of the bid amounts of each unit of the energy storage system according to an embodiment of the present invention;
FIG. 5 is a diagram of the return of the energy storage unit according to an embodiment of the present invention;
FIG. 6 is a diagram of conventional unit benefits provided by an embodiment of the present invention;
FIG. 7 is a block diagram illustrating a structure of a day-ahead energy storage control device according to an embodiment of the present invention;
fig. 8 is a schematic block diagram of a terminal device according to an embodiment of the present invention.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth such as the particular system architecture, techniques, etc., in order to provide a thorough understanding of the embodiments of the present invention. It will be apparent, however, to one skilled in the art that the present invention may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.
For the purpose of making the objects, technical solutions and advantages of the present invention more apparent, the following description will be made by way of specific embodiments with reference to the accompanying drawings.
Referring to fig. 1, fig. 1 is a flow chart of a method for regulating and controlling energy storage before day according to an embodiment of the invention, where the method for regulating and controlling energy storage before day includes:
s101: and acquiring various rated parameters of the target energy storage system based on the electrochemical energy storage characteristics, and determining a first constraint condition corresponding to the target energy storage system according to the various rated parameters.
In this embodiment, the relevant rated parameters of the energy storage power station to be analyzed (i.e., the target energy storage system described in the embodiments of the present invention) may be obtained based on the electrochemical energy storage characteristics. According to the embodiment of the invention, an independent electrochemical energy storage power station is mainly used as an analysis object, and the electrochemical energy storage characteristic based on the electrochemical energy storage power station refers to the energy storage characteristic of various energy storage batteries with chemical elements as media and charge and discharge accompanied with chemical reaction or valence change of the energy storage media. It should be understood that the various rated parameters described in the embodiments of the present invention include not only the parameters of the energy storage power station, but also the rated parameters of the conventional units connected to the target energy storage system.
In this embodiment, obtaining various rated parameters of the target energy storage system may include:
And obtaining the capacity rated value of each energy storage unit of the energy storage system. Where i may represent a node, k may represent an energy storage unit,i.e. the rated energy storage capacity of the kth energy storage unit representing the ith node.
Acquiring an upper SOC limit S of an energy storage system max And a lower SOC limit S min Rated state of charge S at the end of a period of the energy storage system n 。
Obtaining maximum charge and discharge power of energy storage unit of energy storage systemCharging efficiency->Discharge efficiency->
Obtaining the maximum power generation output of each conventional unitAnd minimum power generation capacity->
Obtaining the climbing speed of each conventional unit during operation
Obtaining the minimum duration T of start-stop of each conventional unit c 。
Acquiring single starting cost of each conventional unitAnd single shut-down cost->
Acquiring node time power flow transmission limit during system operation
The regulation and control capability range of the energy storage system participating in peak regulation and frequency modulation can be determined through the various rated parameters. Wherein the aforementioned regulatory capability ranges include, but are not limited to: energy storage unit regulation and control scope, conventional unit regulation and control scope, power load regulation and control scope and branch power regulation and control scope. The energy storage unit regulation and control range mainly comprises: the energy storage unit is in a charging and discharging power range, an energy storage capacity range, a frequency modulation capacity range and the like. The regulation and control range of the conventional unit mainly comprises: the real-time output power range of the conventional unit, the power generation start-stop time range of the conventional unit, the participation frequency modulation capacity range of the conventional unit and the like. The regulation ranges are all constraint conditions, namely first constraint conditions, of the energy storage system participating in peak regulation and frequency modulation.
S102: and solving an objective function of the preset SCUC model based on the first constraint condition to obtain an output result of the SCUC model. And taking the first constraint condition and a preset economic parameter calculation formula as a second constraint condition, and solving an objective function of a preset SCED model based on the output result of the SCUC model and the second constraint condition to obtain the output result of the SCED model.
In this embodiment, the cost calculation formula of each unit during the operation of the target energy storage system may be predetermined, on the basis, a safety constraint unit combination model (i.e. a SCUC model) using the minimum cost as the objective function is established according to each cost calculation formula of the target energy storage system, on the basis, the SCUC model is solved by using the mathematical optimization technique CPLEX and yalminip optimization solver in combination with the first constraint condition, so as to construct a unit output plan, an energy storage charge-discharge plan and each unit start-stop plan according to the output result of the SCUC model. The use of the solution tool CPLEX function and yalminip function of the SCUC model can be realized by MATLAB kits.
Wherein, when specifically solving, the input parameters of the SCUC model include: conventional unit input parameters, energy storage unit input parameters and power grid network parameters of a power grid where a target energy storage system is located.
The input parameters of the conventional unit mainly comprise: the number and the node of the conventional unit, the maximum and minimum power of the input and output of the conventional unit, the up-down climbing rate and the start-stop climbing rate of the conventional unit, the starting cost, the shutdown cost and the minimum duration of the start-stop of the conventional unit, the frequency modulation performance, the frequency modulation capacity ratio and the frequency modulation mileage-capacity ratio of the conventional unit, the power generation quotation, the frequency modulation capacity quotation and the frequency modulation mileage quotation of the conventional unit.
The input parameters of the energy storage unit mainly comprise: the number of the energy storage units, the node where the energy storage units are located, the charge and discharge power of the energy storage units, the maximum and minimum capacities of the energy storage units, the initial time capacity and the end time capacity in the day, the charge state of the energy storage units, the frequency modulation performance of the energy storage units, the frequency modulation capacity ratio, the frequency modulation mileage-capacity ratio, the charge and discharge quotation of the energy storage units, the frequency modulation mileage quotation and the frequency modulation capacity quotation.
The input parameters of the power grid network mainly comprise: the number of network nodes, the number of network lines, the network line power transfer distribution factor and the association matrix among the nodes.
On the basis, the input parameters are input into the SCUC model, so that the SCUC model can be solved, and an output result of the SCUC model is obtained.
In this embodiment, a safe constraint economic dispatch model (i.e., a SCED model) may be established according to an operation rule of an electric auxiliary service market in a target area (i.e., an area where a target energy storage system is located), and node electricity prices, frequency modulation clear prices, etc. are determined according to the SCED model, so as to calculate a maximum profit of the target energy storage system in an auxiliary service market transaction, and compile a plan of the target energy storage system in the auxiliary service market transaction. Specifically, according to the embodiment, a unit output plan and an energy storage charging and discharging plan when the running cost of the target energy storage system is minimum can be obtained according to the output result of the SCUC model. On the basis, the embodiment can also determine the solving modes of parameters such as the SCED model node electricity price, the price and the like. On the basis, the SCED model can be established by taking the minimum cost of the target energy storage system as an objective function according to the energy storage resource configuration when the minimum cost of the target energy storage system is required and combining the electric auxiliary service market operation rule of the target area. On the basis, the SCUC model output result is used as the SCED input parameter, and the SCED model is solved through the dual () function, so that the node electricity price, the clearing price and other output results of the energy storage system which participate in the peak regulation and frequency modulation transaction are obtained. And according to the output result of the SCED model, the income which can be obtained by the target energy storage system in participating in the peak regulation and frequency modulation transaction can be calculated, and the transaction plan of the target energy storage system in participating in the auxiliary service market is compiled.
Wherein the power auxiliary service market operating rules of the target area include, but are not limited to: and carrying out regulations such as peak regulation, frequency modulation, quotation, classification, declaration, power generation planning, market trade clearing, cost settlement, trade compensation and the like according to the declaration capacity.
S103: and regulating and controlling the target energy storage system based on the output result of the SCUC model and the output result of the SCED model.
In this embodiment, the output result of the SCUC model is: the method comprises the steps of outputting state variables of all units of a conventional unit, outputting power of all units of the conventional unit, participating in frequency modulation service capacity of the conventional unit, real-time load and power of a network line, charging and discharging state variables and charging and discharging power of an energy storage unit, storing energy real-time capacity and capacity of participating in frequency modulation of energy storage. On the basis, a machine set output plan, an energy storage charging and discharging plan, a start-stop plan of each machine set and the like can be compiled according to the output result of the SCUC model.
Wherein the output result of the SCUC model is the input parameter of the SCED model.
On the basis, the output result of the SCED model is as follows: scalar quantity in the electric energy market and the frequency modulation market of each conventional unit, scalar quantity in the electric energy market and the frequency modulation market of each energy storage unit, balance node electricity price, frequency modulation capacity and frequency modulation mileage price.
In this embodiment, after determining the output results of the SCUC model and the SCED model, various plans may be compiled according to the output results of the SCUC model and the SCED model to regulate the target energy storage system.
In one possible implementation manner, the various rated parameters include energy storage energy and charge/discharge power of each node energy storage unit in the target energy storage system, an upper limit value and a lower limit value of an SOC of the target energy storage system, a rated charge state (i.e., an energy storage SOC rated value) at an ending time of the target energy storage system, a maximum charge/discharge power of the energy storage unit, rated parameters of the conventional unit (such as a maximum power generation output and a minimum power generation output of the conventional unit, and a climbing rate of the conventional unit), a minimum duration of startup and shutdown of the conventional unit, and a single shutdown cost of the conventional unit in the target energy storage system.
The first constraint condition comprises energy storage capacity constraint, energy storage SOC constraint, charge and discharge power constraint, output constraint of conventional unit operation, power balance constraint, start-up time constraint and stop time constraint of the conventional unit and start-up and stop start-up cost constraint of the conventional unit.
Determining a first constraint condition corresponding to the target energy storage system according to various rated parameters, wherein the first constraint condition comprises:
And calculating rated total energy storage capacity of the energy storage system according to the energy storage capacity of each energy storage unit of the target energy storage system, and obtaining the energy storage capacity constraint of the energy storage system in the peak regulation and frequency modulation transaction.
Wherein, the energy storage capacity constraint is:
wherein,for energy storage at time t, E B Is rated total energy storage.
Wherein by means ofCalculation E B ，/>For the rated energy storage capacity of the kth energy storage unit of the ith node, I, K indicates that the target energy storage system comprises I nodes, each node comprising K energy storage units.
Wherein by means ofCalculate->For the energy storage capacity of the kth energy storage unit of the ith node at time t-1,/-)>Charging power of the kth energy storage unit of the ith node at time t, +.>For charging efficiency, +.>The kth energy storage unit of the ith node at time tDischarge power, < >>For discharge efficiency, Δt is the time difference between time t-1 and time t.
And determining the energy storage SOC constraint according to the energy storage SOC rated value of the target energy storage system.
Wherein, energy storage SOC constraint is:
S min ≤S t ≤S max and is also provided with
Wherein S is max 、S min Respectively an SOC upper limit value and an SOC lower limit value of the target energy storage system, S t And the energy storage SOC value at the time t. T is any time period of the target energy storage system, S n Is rated state of charge.The stored energy SOC value indicating the end time of T should reach a prescribed value S n So that the target energy storage system can be started and operated normally the next day.
Wherein by means ofCalculation S t 。S i,k,t-1 The energy storage SOC value of the kth energy storage unit of the ith node at the t-1 moment.
In summary, the real-time energy storage capacity of the target energy storage system should satisfy:
and calculating the system power of the energy storage unit according to the maximum charge and discharge power of the energy storage unit of the target energy storage system, and obtaining the charge and discharge power constraint of the energy storage system.
The charge-discharge power constraint may specifically be:
wherein P is t B The total output power of the energy storage unit in the target energy storage system at the moment t,is the maximum charge and discharge power of the target energy storage system.
Wherein,the total output power of the charging and discharging of each node unit of the target energy storage system is indicated to be in the rated maximum charging and discharging range of the target energy storage system. />And->Indicating that the charge and discharge of the target energy storage system should meet the constraint of the charge and discharge state variables.Representing the constraint that the system participates in frequency modulation capacity should be considered when the target energy storage system is charged and discharged. />Indicating that the target energy storage system cannot perform the charging and discharging processes simultaneously.
Wherein by means ofCalculation of P t B ，/>The system power of the kth energy storage unit of the ith node at time t is determined by +.>Calculate->
Wherein,and respectively representing charge and discharge state variables of the target energy storage system, wherein the values of the charge and discharge state variables are 0 or 1./ >And the energy storage unit of the target energy storage system participates in frequency modulation for the time t.
And calculating the maximum power generation output and the minimum power generation output of the conventional unit of each node of the target energy storage system according to the rated parameters of the conventional unit of the target energy storage system, and obtaining the output constraint of the operation of the conventional unit.
The output constraint of the conventional unit operation is as follows:
wherein,and marking out the output constraint for each node unit of the conventional unit.
P t G-min ≤P t G ≤P t G-max And the total winning force constraint is achieved for the conventional unit.
Representing the real-time output of the conventional unit should consider the constraint that the conventional unit participates in the frequency modulation capacity.
The output of the conventional unit is constrained by the climbing speed and the start-stop climbing speed of the unit.
Wherein,reporting output power for the kth conventional unit of the ith node at t moment and participating in peak regulation and frequency modulation transaction, P t G The total winning force of the conventional unit for each node in the target energy storage system is calculated by +.>Calculation of P t G ，/>The winning-out force of the kth conventional unit of the ith node at the moment t. />The start-stop state variable of the kth conventional unit of the ith node at the moment t takes a value of 0 or 1.P (P) t G-min 、P t G-max The maximum power generation output and the minimum power generation output of the conventional unit of each node of the target energy storage system at the time t are respectively obtained. Wherein by means of Calculation of P t G-max By->Calculation of P t G-min ，Maximum power generation output and minimum power generation output of the kth conventional unit of the ith node respectively.And the capacity of the conventional unit of the target energy storage system participating in frequency modulation at the moment t. />Is the climbing rate of the kth conventional unit of the ith node in operation. />The start-stop state variable of the kth conventional unit of the ith node at the t-1 moment is 0 or 1./>Is the climbing rate of the kth conventional unit of the ith node when the unit is started and stopped. />The start-stop state variable of the kth conventional unit of the ith node at the time t+1 is 0 or 1./>The winning-out force of the kth conventional unit of the ith node at the t-1 moment.
Wherein by means ofCalculate->
And determining the power balance constraint of the target energy storage system according to the real-time load of each unit of the target energy storage system.
The power balance constraint of the target energy storage system is as follows:
∑P t B +∑P t G ＝∑P t L
wherein ΣP t L Sigma P is the total load of the target energy storage system at the moment t t B Sigma P is the total load of an energy storage unit in a target energy storage system at the time t t G And the total load of the conventional unit in the target energy storage system at the time t is obtained.
And calculating the start-up time constraint and the stop time constraint of the conventional unit in the target energy storage system according to the minimum start-up and stop duration of the conventional unit of the target energy storage system.
The starting time constraint of the conventional unit is as follows:
wherein,and the starting variable of a conventional unit in the T-period target energy storage system.
The shutdown time constraint of the conventional unit is as follows:
wherein,and the shutdown variable of the conventional unit in the T-period target energy storage system.
By t=t:min {96, t+t c -1} calculate T, T c For a minimum duration of on-machine shutdown.
And calculating the start-stop start-up cost constraint of the conventional unit in the target energy storage system according to the single start-up cost and the single stop cost of the conventional unit.
The start-up cost constraint of the conventional unit is as follows:
wherein,the single starting cost and the single closing cost of a conventional unit in the target energy storage system are respectively +.>The current starting cost and the current stopping cost of a conventional unit in the target energy storage system are respectively +.>The initial starting cost and the shutdown cost of the conventional unit in the target energy storage system are respectively.And the start-stop state variables of the conventional unit in the target energy storage system at the time t=0 and the time t=1 are respectively.
In one possible implementation, the various rated parameters further include: and the power flow transmission limit among all nodes when the target energy storage system operates. The first constraint further comprises: the energy storage system comprises a constraint of participation of each unit in frequency modulation, a line tide constraint among nodes, an operation cost calculation formula of a conventional unit, a start-stop cost calculation formula of the conventional unit, a charge-discharge cost calculation formula of the energy storage unit, a frequency modulation cost calculation formula of the conventional unit and a frequency modulation cost calculation formula of the energy storage unit.
Wherein, each unit participates in the restraint of frequency modulation includes:
the energy storage unit participates in the constraint of frequency modulation:
the conventional unit participates in the constraint of frequency modulation:
constraint of total frequency modulation capacity of the target energy storage system:
constraint of total frequency modulation mileage of the target energy storage system:
wherein,the frequency modulation mileage of the conventional unit and the energy storage unit at the time t is respectively shown;
the line flow constraint among the nodes is as follows:
wherein,for the tide transmission limit, P ab,t Representing a line flow between node a and node b at time t; through P ab,t ＝γ(A G ·P t G +A B ·P t B -P t L ) Calculation of P ab,t Gamma is the power transfer distribution factor, A G 、A B The association matrix of the conventional unit and the node and the association matrix of the energy storage unit and the node are respectively adopted;
the operation cost calculation formula of the conventional unit is as follows:
wherein C is G-O Lambda is the running cost of the conventional unit G The power generation cost for the operation of the conventional unit.
The calculation formula of the start-stop cost of the conventional unit is as follows:
wherein C is G-UD Is the start-stop cost of the conventional unit.
The calculation formula of the charge and discharge cost of the energy storage unit is as follows:
wherein C is B Is the charge and discharge cost lambda of the energy storage unit Bc 、λ Bd The charging electricity price and the discharging electricity price of the energy storage unit are respectively.
The frequency modulation cost calculation formula of the conventional unit is as follows:
Wherein C is G-F Is the frequency modulation cost calculation formula of the conventional unit,the price of the conventional unit for frequency modulation capacity and the price of the conventional unit for frequency modulation mileage are respectively +.>Scalar in the conventional unit frequency modulation market.
The frequency modulation cost calculation formula of the energy storage unit is as follows:
wherein C is B-F For the frequency modulation cost of the energy storage unit,the price for expressing the frequency modulation capacity of the energy storage unit and the price for expressing the frequency modulation mileage of the energy storage unit are respectively +.>Scalar in the energy storage unit frequency modulation market.
In one possible implementation, the preset economic parameter calculation formula includes: node electricity price calculation formula, power transfer distribution factor calculation formula and clear price calculation formula.
The node electricity price calculation formula is:
wherein lambda is i In order to obtain the electricity price of the node,to balance the electricity price of the node, P m-1 Upstream node power, P, for inode m leg m+1 And the power of a downstream node of the i node m branch is calculated, and gamma is a power transfer distribution factor. The balance node electricity price solving method comprises the following steps: and accessing the dual variable corresponding to the power balance constraint through the dual () function to obtain the value of the dual variable of the power balance constraint at the moment t, and dividing the dual variable by the power reference value to obtain the balanced node electricity price. The solving method of the power of the upstream node and the downstream node comprises the following steps: and accessing a dual variable corresponding to the line flow constraint through a dual () function, dividing the dual variable by a power reference value to obtain the power of the upstream node and the downstream node by the value of the line flow constraint dual variable at the moment t.
The power transfer distribution factor is calculated as:
γ i,j ＝(Bf i,m -Bf j,m )/Bbus i,j
wherein, gamma i,j Bbus is a power transfer distribution factor of m branches at node i and node j i,j Is the susceptance value between node i and node j.
In this embodiment, the preset economic parameter calculation formula may further include a clear price calculation formula, where the clear price calculation formula is:
wherein, gamma' is the price of the product,p for the corresponding dual variable of the frequency modulation constraint 0 Is a power reference value.
That is, the dual () function accesses the dual variable corresponding to the frequency modulation constraint, and the value of the frequency modulation constraint dual variable at the time t is obtained by dividing the dual variable by the power reference value, so as to obtain the clear price of the frequency modulation capacity (mileage).
In one possible implementation, the objective functions of the SCUC model and the SCED model may be the same, on the basis of which the objective functions of the SCUC model and the SCED model are:
min{C G-O +C G-UD +C B +C G-F +C B-F }
wherein C is G-O C is the running cost of the conventional unit G-UD C is the start-stop cost of the conventional unit B C is the charge and discharge cost of the energy storage unit G-F Calculating the frequency modulation cost of a conventional unit, C B-F The energy storage unit is frequency modulation cost.
In one possible implementation, the regulating of the target energy storage system based on the output result of the SCUC model and the output result of the SCED model includes:
And (3) compiling a unit output plan, an energy storage charging and discharging plan and a starting and stopping plan of each unit of the target energy storage system according to the output result of the SCUC model. And compiling a transaction plan of the target energy storage system participating in the auxiliary service market according to the output result of the SCED model.
The machine set output plan, the energy storage charging and discharging plan, the machine set start-up and stop plan and the transaction plan are taken as the regulation strategy of the target energy storage system.
In one possible implementation manner, the method for regulating and controlling the energy storage before day further comprises the following steps:
and estimating the maximum income which can be obtained by the target energy storage system in the peak regulation and frequency modulation transaction according to the output result of the SCED model.
In this embodiment, the maximum benefit I that the energy storage system can obtain when participating in the peak shaving and frequency modulation transaction can be calculated according to the output result of the SCED model. Specifically, the benefits obtained by the energy storage system in the peak regulation and frequency modulation transaction are mainly divided into benefits I of the energy storage power station B And conventional unit benefit I G 。
Specifically, the profit calculation formula of the conventional unit of the energy storage system is as follows:
specifically, the energy storage unit benefit calculation formula of the energy storage system is:
therefore, the gain calculation formula of the energy storage system participating in the peak regulation and frequency modulation transaction is as follows:
I＝I G +I B
by the method, the resources of the energy storage system participating in the peak shaving and frequency modulation transaction can be scheduled in the future, and the optimal configuration of the energy storage resources is realized from the aspects of minimum running cost and maximum transaction income.
In one implementation manner, the technical solution of the embodiment of the present invention is further described with a specific application example.
Taking an IEEE39 node system in a certain area as an example, please refer to fig. 2, the node has ten three-phase synchronous generators, 39 nodes, and 46 branches, wherein 5 are tie switch branches, and 1 power source is used as a balance node. Each node mainly comprises two unit types of a thermal power conventional unit and an energy storage unit, and according to the related requirements and the technical scheme of the invention, input parameters such as input and output power, energy storage energy and the like of the energy storage system are counted. The specific data are shown in the following table:
table 1: input parameter data of each node of energy storage unit on certain day
Table 2: input parameter data of each node of a conventional unit on a certain day
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Table 3: grid parameter data of nodes on a certain day
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According to the data in the table, the technical scheme according to the embodiment of the invention calculates the frequency modulation bid-winning capacity and the electric energy market bid-winning capacity of the system (shown in fig. 3 and 4 respectively) under the condition of meeting the minimum cost, and calculates the maximum benefit which can be obtained by the energy storage system participating in the peak-shaving frequency modulation auxiliary service market transaction (shown in fig. 5 and 6 respectively). As can be seen from the above specific examples, the embodiment of the invention calculates the cost and the benefit of participating in the peak shaving and frequency modulation transaction in real time based on the relevant parameters of each unit of each node of the target energy storage system, and compiles a reasonable power generation plan and a transaction plan of participating in an auxiliary service market, thereby realizing configuration optimization and regulation of each energy storage resource of the energy storage system participating in the peak shaving and frequency modulation transaction.
Fig. 7 is a block diagram of a day-ahead energy storage control device according to an embodiment of the present invention, corresponding to the day-ahead energy storage control method of the above embodiment. For convenience of explanation, only portions relevant to the embodiments of the present invention are shown. Referring to fig. 7, the day-ahead energy storage regulation device 20 includes: the system comprises a data acquisition module 21, a model solving module 22 and an energy storage regulation and control module 23.
The data acquisition module 21 is configured to acquire various rated parameters of the target energy storage system based on the electrochemical energy storage characteristic, and determine a first constraint condition corresponding to the target energy storage system according to the various rated parameters.
The model solving module 22 is configured to solve an objective function of a preset SCUC model based on the first constraint condition, so as to obtain an output result of the SCUC model. And taking the first constraint condition and a preset economic parameter calculation formula as a second constraint condition, and solving an objective function of a preset SCED model based on the output result of the SCUC model and the second constraint condition to obtain the output result of the SCED model.
The energy storage regulation and control module 23 is used for regulating and controlling the target energy storage system based on the output result of the SCUC model and the output result of the SCED model.
In one possible implementation manner, the various rated parameters include energy storage energy and charge and discharge power of each node energy storage unit in the target energy storage system, an energy storage SOC rated value, maximum charge and discharge power of the energy storage unit, rated parameters of the conventional unit, minimum duration of start-stop of the conventional unit, single start-up cost and single shut-down cost of the conventional unit.
The first constraint condition comprises energy storage capacity constraint, energy storage SOC constraint, charge and discharge power constraint, output constraint of conventional unit operation, power balance constraint, start-up time constraint and stop time constraint of the conventional unit and start-up and stop start-up cost constraint of the conventional unit.
The data acquisition module 21 is specifically configured to:
and calculating rated total energy storage capacity of the energy storage system according to the energy storage capacity of each energy storage unit of the target energy storage system, and obtaining the energy storage capacity constraint of the energy storage system in the peak regulation and frequency modulation transaction.
And determining the energy storage SOC constraint according to the energy storage SOC rated value of the target energy storage system.
And calculating the system power of the energy storage unit according to the maximum charge and discharge power of the energy storage unit of the target energy storage system, and obtaining the charge and discharge power constraint of the energy storage system.
And calculating the maximum power generation output and the minimum power generation output of the conventional unit of each node of the target energy storage system according to the rated parameters of the conventional unit of the target energy storage system, and obtaining the output constraint of the operation of the conventional unit.
And determining the power balance constraint of the target energy storage system according to the real-time load of each unit of the target energy storage system.
And calculating the start-up time constraint and the stop time constraint of the conventional unit in the target energy storage system according to the minimum start-up and stop duration of the conventional unit of the target energy storage system.
And calculating the start-stop start-up cost constraint of the conventional unit in the target energy storage system according to the single start-up cost and the single stop cost of the conventional unit.
In one possible implementation, the first constraint further includes: the energy storage system comprises a constraint of participation of each unit in frequency modulation, a line tide constraint among nodes, an operation cost calculation formula of a conventional unit, a start-stop cost calculation formula of the conventional unit, a charge-discharge cost calculation formula of the energy storage unit, a frequency modulation cost calculation formula of the conventional unit and a frequency modulation cost calculation formula of the energy storage unit. The operation cost calculation formula of the conventional unit is as follows:
wherein C is G-O Lambda is the running cost of the conventional unit G The power generation cost for the operation of the conventional unit.
The calculation formula of the start-stop cost of the conventional unit is as follows:
wherein C is G-UD Is the start-stop cost of the conventional unit.
The calculation formula of the charge and discharge cost of the energy storage unit is as follows:
wherein C is B Is the charge and discharge cost lambda of the energy storage unit Bc 、λ Bd The charging electricity price and the discharging electricity price of the energy storage unit are respectively.
The frequency modulation cost calculation formula of the conventional unit is as follows:
wherein C is G-F Is the frequency modulation cost calculation formula of the conventional unit,the price of the conventional unit for frequency modulation capacity and the price of the conventional unit for frequency modulation mileage are respectively +. >Scalar in the conventional unit frequency modulation market.
The frequency modulation cost calculation formula of the energy storage unit is as follows:
wherein C is B-F For the frequency modulation cost of the energy storage unit,respectively, are watchesThe frequency modulation capacity clearing price and the frequency modulation mileage clearing price of the energy storage unit are shown, and the price is%>Scalar in the energy storage unit frequency modulation market.
In one possible implementation, the preset economic parameter calculation formula includes: node electricity price calculation formula, power transfer distribution factor calculation formula and clear price calculation formula.
The node electricity price calculation formula is:
wherein lambda is i In order to obtain the electricity price of the node,to balance the electricity price of the node, P m-1 Upstream node power, P, for inode m leg m+1 And the power of a downstream node of the i node m branch is calculated, and gamma is a power transfer distribution factor.
The power transfer distribution factor is calculated as:
γ i,j ＝(Bf i,m -Bf j,m )/Bbus i,j
wherein, gamma i,j Bbus is a power transfer distribution factor of m branches at node i and node j i,j Is the susceptance value between node i and node j.
The calculation formula of the price is as follows:
wherein, gamma' is the price of the product,p for the corresponding dual variable of the frequency modulation constraint 0 Is a power reference value. In one possible implementation, the objective functions of both the SCUC model and the SCED model are:
min{C G-O +C G-UD +C B +C G-F +C B-F }
wherein C is G-O C is the running cost of the conventional unit G-UD C is the start-stop cost of the conventional unit B C is the charge and discharge cost of the energy storage unit G-F Calculating the frequency modulation cost of a conventional unit, C B-F The energy storage unit is frequency modulation cost.
In one possible implementation, the energy storage regulation module 23 is specifically configured to:
and (3) compiling a unit output plan, an energy storage charging and discharging plan and a starting and stopping plan of each unit of the target energy storage system according to the output result of the SCUC model. And compiling a transaction plan of the target energy storage system participating in the auxiliary service market according to the output result of the SCED model.
The machine set output plan, the energy storage charging and discharging plan, the machine set start-up and stop plan and the transaction plan are taken as the regulation strategy of the target energy storage system.
In one possible implementation, the energy storage regulation module 23 is further configured to:
and estimating the maximum income which can be obtained by the target energy storage system in the peak regulation and frequency modulation transaction according to the output result of the SCED model.
Referring to fig. 8, fig. 8 is a schematic block diagram of a terminal device according to an embodiment of the present invention. The terminal 300 in the present embodiment as shown in fig. 8 may include: one or more processors 301, one or more input devices 302, one or more output devices 303, and one or more memories 304. The processor 301, the input device 302, the output device 303, and the memory 304 communicate with each other via a communication bus 305. The memory 304 is used to store a computer program comprising program instructions. The processor 301 is configured to execute program instructions stored in the memory 304. Wherein the processor 301 is configured to invoke program instructions to perform the following functions of the modules/units in the above described device embodiments, such as the functions of the modules 21 to 23 shown in fig. 7.
It should be appreciated that in embodiments of the present invention, the processor 301 may be a central processing unit (Central Processing Unit, CPU), which may also be other general purpose processors, digital signal processors (Digital Signal Processor, DSPs), application specific integrated circuits (Application Specific Integrated Circuit, ASICs), off-the-shelf programmable gate arrays (Field-Programmable Gate Array, FPGAs) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The input device 302 may include a touch pad, a fingerprint sensor (for collecting fingerprint information of a user and direction information of a fingerprint), a microphone, etc., and the output device 303 may include a display (LCD, etc.), a speaker, etc.
The memory 304 may include read only memory and random access memory and provides instructions and data to the processor 301. A portion of memory 304 may also include non-volatile random access memory. For example, the memory 304 may also store information of device type.
In a specific implementation, the processor 301, the input device 302, and the output device 303 described in the embodiments of the present invention may execute the implementation described in the first embodiment and the second embodiment of the day-ahead energy storage regulation method provided in the embodiments of the present invention, and may also execute the implementation of the terminal described in the embodiments of the present invention, which is not described herein again.
In another embodiment of the present invention, a computer readable storage medium is provided, where the computer readable storage medium stores a computer program, where the computer program includes program instructions, where the program instructions, when executed by a processor, implement all or part of the procedures in the method embodiments described above, or may be implemented by instructing related hardware by the computer program, where the computer program may be stored in a computer readable storage medium, where the computer program, when executed by the processor, implements the steps of each of the method embodiments described above. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, executable files or in some intermediate form, etc. The computer readable medium may include: any entity or device capable of carrying computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), an electrical carrier signal, a telecommunications signal, a software distribution medium, and so forth. It should be noted that the content of the computer readable medium can be appropriately increased or decreased according to the requirements of the jurisdiction's jurisdiction and the patent practice, for example, in some jurisdictions, the computer readable medium does not include electrical carrier signals and telecommunication signals according to the jurisdiction and the patent practice.
The computer readable storage medium may be an internal storage unit of the terminal of any of the foregoing embodiments, such as a hard disk or a memory of the terminal. The computer readable storage medium may also be an external storage device of the terminal, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card) or the like, which are provided on the terminal. Further, the computer-readable storage medium may also include both an internal storage unit of the terminal and an external storage device. The computer-readable storage medium is used to store a computer program and other programs and data required for the terminal. The computer-readable storage medium may also be used to temporarily store data that has been output or is to be output.
Those of ordinary skill in the art will appreciate that the elements and algorithm steps described in connection with the embodiments disclosed herein may be embodied in electronic hardware, in computer software, or in a combination of the two, and that the elements and steps of the examples have been generally described in terms of function in the foregoing description to clearly illustrate the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
It will be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working procedures of the terminal and the unit described above may refer to the corresponding procedures in the foregoing method embodiments, which are not repeated herein.
In several embodiments provided by the present application, it should be understood that the disclosed terminal and method may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of elements is merely a logical functional division, and there may be additional divisions of actual implementation, e.g., multiple elements or components may be combined or integrated into another system, or some features may be omitted, or not performed. In addition, the coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection via some interfaces or units, or may be an electrical, mechanical, or other form of connection.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the embodiment of the present application.
In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The present invention is not limited to the above embodiments, and various equivalent modifications and substitutions can be easily made by those skilled in the art within the technical scope of the present invention, and these modifications and substitutions are intended to be included in the scope of the present invention. Therefore, the protection scope of the invention is subject to the protection scope of the claims.
Claims (10)
1. A day-ahead energy storage regulation method, characterized by comprising:
acquiring various rated parameters of a target energy storage system based on electrochemical energy storage characteristics, and determining a first constraint condition corresponding to the target energy storage system according to the various rated parameters;
solving an objective function of a preset SCUC model based on the first constraint condition to obtain an output result of the SCUC model; taking the first constraint condition and a preset economic parameter calculation formula as a second constraint condition, and solving a target function of a preset SCED model based on an output result of the SCUC model and the second constraint condition to obtain the output result of the SCED model;
And regulating and controlling the target energy storage system based on the output result of the SCUC model and the output result of the SCED model.
2. The day-ahead energy storage regulation method of claim 1, wherein the various rated parameters comprise energy storage energy and charge-discharge power of each node energy storage unit in the target energy storage system, an energy storage SOC rated value, maximum charge-discharge power of an energy storage unit, rated parameters of a conventional unit, minimum duration of start-stop of the conventional unit, single start-up cost and single shut-down cost of the conventional unit;
the first constraint condition comprises energy storage capacity constraint, energy storage SOC constraint, charge and discharge power constraint, output constraint of conventional unit operation, power balance constraint, start-up time constraint and stop time constraint of the conventional unit and start-up and stop start-up cost constraint of the conventional unit;
the determining the first constraint condition corresponding to the target energy storage system according to the various rated parameters comprises the following steps:
calculating rated total energy storage capacity of the energy storage system according to the energy storage energy of each energy storage unit of the target energy storage system, and obtaining energy storage capacity constraint of the energy storage system in the peak regulation and frequency modulation transaction;
determining an energy storage SOC constraint according to an energy storage SOC rated value of the target energy storage system;
Calculating the system power of the energy storage unit according to the maximum charge and discharge power of the energy storage unit of the target energy storage system, and obtaining the charge and discharge power constraint of the energy storage system;
calculating the maximum power generation output and the minimum power generation output of the conventional unit of each node of the target energy storage system according to the rated parameters of the conventional unit of the target energy storage system, and obtaining the output constraint of the operation of the conventional unit;
determining the power balance constraint of the target energy storage system according to the real-time load of each unit of the target energy storage system;
calculating the start-up time constraint and the stop time constraint of the conventional unit in the target energy storage system according to the minimum start-up and stop duration of the conventional unit of the target energy storage system;
and calculating the start-stop start-up cost constraint of the conventional unit in the target energy storage system according to the single start-up cost and the single stop cost of the conventional unit.
3. The day-ahead energy storage regulation method of claim 2, wherein the first constraint further comprises: the energy storage system comprises a target energy storage system, a control system and a control system, wherein each unit participates in constraint of frequency modulation, line tide constraint among nodes, operation cost calculation formula of a conventional unit, start-stop cost calculation formula of the conventional unit, charge-discharge cost calculation formula of the energy storage unit, frequency modulation cost calculation formula of the conventional unit and frequency modulation cost calculation formula of the energy storage unit; the operation cost calculation formula of the conventional unit is as follows:
Wherein C is G-O Lambda is the running cost of the conventional unit G The power generation cost for the operation of the conventional unit;
the calculation formula of the start-stop cost of the conventional unit is as follows:
wherein C is G-UD The starting and stopping cost of the conventional unit is set;
the calculation formula of the charge and discharge cost of the energy storage unit is as follows:
wherein C is B Is the charge and discharge cost lambda of the energy storage unit Bc 、λ Bd The charging electricity price and the discharging electricity price of the energy storage unit are respectively;
the frequency modulation cost calculation formula of the conventional unit is as follows:
wherein C is G-F Is the frequency modulation cost calculation formula of the conventional unit,the price of the conventional unit for frequency modulation capacity and the price of the conventional unit for frequency modulation mileage are respectively +.>Scalar in the conventional unit frequency modulation market;
the frequency modulation cost calculation formula of the energy storage unit is as follows:
wherein C is B-F For the frequency modulation cost of the energy storage unit,the price for expressing the frequency modulation capacity of the energy storage unit and the price for expressing the frequency modulation mileage of the energy storage unit are respectively +.>In the frequency modulation market for energy storage unitsA scalar quantity.
4. The day-ahead energy storage regulation method of claim 1, wherein the predetermined economic parameter calculation formula includes: node electricity price calculation formula, power transfer distribution factor calculation formula and clear price calculation formula;
the node electricity price calculation formula is as follows:
wherein lambda is i In order to obtain the electricity price of the node, To balance the electricity price of the node, P m-1 Upstream node power, P, for inode m leg m+1 The power of a downstream node of an i node m branch is calculated, and gamma is a power transfer distribution factor;
the power transfer distribution factor is calculated as:
γ i,j ＝(Bf i,m -Bf j,m )/Bbus i,j
wherein, gamma i,j Bbus is a power transfer distribution factor of m branches at node i and node j i,j A susceptance value between node i and node j;
the calculation formula of the clearing price is as follows:
wherein, gamma' is the price of the product,p for the corresponding dual variable of the frequency modulation constraint 0 Is a power reference value.
5. The day-ahead energy storage regulation method of claim 1, wherein the objective functions of the SCUC model and the SCED model are:
min{C G-O +C G-UD +C B +C G-F +C B-F }
wherein C is G-O C is the running cost of the conventional unit G-UD C is the start-stop cost of the conventional unit B C is the charge and discharge cost of the energy storage unit G-F Calculating the frequency modulation cost of a conventional unit, C B-F The energy storage unit is frequency modulation cost.
6. The day-ahead energy storage regulation method of claim 1, wherein the regulating the target energy storage system based on the output result of the SCUC model and the output result of the SCED model comprises:
according to the output result of the SCUC model, a unit output plan, an energy storage charge-discharge plan and a start-stop plan of each unit of the target energy storage system are compiled; compiling a transaction plan of the target energy storage system participating in an auxiliary service market according to the output result of the SCED model;
The machine set output plan, the energy storage charging and discharging plan, the machine set start-up and shutdown plans and the transaction plan are the regulation and control strategies of the target energy storage system.
7. The day-ahead energy storage regulation method of any one of claims 1 to 6, further comprising:
and estimating the maximum income which can be obtained by the target energy storage system in the peak regulation and frequency modulation transaction according to the output result of the SCED model.
8. A day-ahead energy storage regulation and control device, characterized by comprising:
the data acquisition module is used for acquiring various rated parameters of the target energy storage system based on electrochemical energy storage characteristics and determining a first constraint condition corresponding to the target energy storage system according to the various rated parameters;
the model solving module is used for solving a target function of a preset SCUC model based on the first constraint condition to obtain an output result of the SCUC model; taking the first constraint condition and a preset economic parameter calculation formula as a second constraint condition, and solving a target function of a preset SCED model based on an output result of the SCUC model and the second constraint condition to obtain the output result of the SCED model;
And the energy storage regulation and control module is used for regulating and controlling the target energy storage system based on the output result of the SCUC model and the output result of the SCED model.
9. A terminal device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the steps of the method according to any of claims 1 to 7 when the computer program is executed.
10. A computer readable storage medium storing a computer program, characterized in that the computer program when executed by a processor implements the steps of the method according to any one of claims 1 to 7.
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