CN117977626A - Analysis decision method and system for whether virtual power plant participates in frequency modulation - Google Patents
Analysis decision method and system for whether virtual power plant participates in frequency modulation Download PDFInfo
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Abstract
The invention discloses an analysis decision method and a system for whether a virtual power plant participates in frequency modulation, wherein the analysis decision method comprises the following steps: inputting frequency modulation related data and virtual power plant related parameters; establishing a frequency modulation cost model of the virtual power plant, and calculating total resources of the virtual power plant participating in frequency modulation auxiliary service operation; establishing a virtual power plant frequency modulation optimization model, and calculating the return obtained by the participation of the virtual power plant in the frequency modulation operation; and comparing the total frequency modulation resources of the virtual power plant participating in the operation of the frequency modulation auxiliary service with the obtained returns, and outputting a decision result. The invention realizes the efficient and optimal configuration of the virtual power plant resources. By integrating the real-time data, the invention can accurately evaluate the performance and response capability of multiple resources such as gas turbines, electric energy storage and the like in frequency modulation operation. This advancement assists virtual power plant aggregators in making data-driven accurate decisions in frequency modulation operations, thereby improving the efficiency and reliability of the operations.
Description
Technical Field
The invention relates to the technical field of frequency modulation operation participated in by a virtual power plant, in particular to an analysis decision method and system for whether the virtual power plant participates in frequency modulation or not.
Background
Under the background of carbon peak and carbon neutralization, high-proportion new energy grid connection becomes an important direction of power system development. The new energy is characterized by intermittence, fluctuation and unstable frequency modulation capability. With the access of high-proportion new energy, the conventional power system only depends on a conventional unit, so that the frequency modulation requirement is difficult to meet, and a novel frequency modulation resource is urgently needed.
The virtual power plant shows good capability of responding to frequency change of the power system through aggregation of various devices such as distributed wind power, distributed photovoltaic, gas turbines, energy storage, loads and the like, and has a large power regulation range. The virtual power plant has a competitive advantage in frequency modulation operation, and can effectively make up for the deficiency of single frequency modulation resource.
However, there is currently a lack of comprehensive assessment and optimization strategies for the virtual power plants to participate in the frequency modulation operation, which limits the application potential of the virtual power plants. Therefore, the core technical problems of the invention are: how to effectively integrate and optimize various resources in a virtual power plant to improve the role and efficiency of the virtual power plant in the frequency modulation auxiliary service of the power system and ensure the stability and reliability of operation.
Disclosure of Invention
The present invention has been made in view of the above-described problems.
Therefore, the technical problems solved by the invention are as follows: how to effectively integrate and optimize various resources in a virtual power plant to improve the role and efficiency of the virtual power plant in the frequency modulation auxiliary service of the power system and ensure the stability and reliability of operation.
In order to solve the technical problems, the invention provides the following technical scheme: an analytical decision method for whether a virtual power plant participates in frequency modulation, comprising: inputting frequency modulation related data and virtual power plant related parameters;
Establishing a frequency modulation cost model of the virtual power plant, and calculating total resources of the virtual power plant participating in frequency modulation auxiliary service operation;
Establishing a virtual power plant frequency modulation optimization model, and calculating the return obtained by the participation of the virtual power plant in the frequency modulation operation;
and comparing the total frequency modulation resources of the virtual power plant participating in the operation of the frequency modulation auxiliary service with the obtained returns, and outputting a decision result.
As a preferable scheme of the analysis decision method for whether the virtual power plant participates in frequency modulation or not, the invention comprises the following steps: the virtual power plant comprises a gas turbine, an electric energy storage and an adjustable load;
the virtual power plant frequency modulation cost model comprises the steps of establishing an upper frequency modulation cost model aiming at a virtual power plant, wherein an objective function is as follows:
TC＝Cg+Ces+Clo+Cload+Cstart
Wherein TC represents the total cost of the virtual power plant to participate in the tuning operation, C g represents the cost of the gas turbine to participate in the tuning operation, C es represents the cost of the electrical energy storage for tuning, C lo represents the opportunity cost of the virtual power plant to participate in the tuning operation, C load represents the cost of the adjustable load to participate in the tuning operation, and C start represents the gas turbine start-stop cost.
As a preferred embodiment of the method for determining whether the virtual power plant participates in frequency modulation, the cost C g of the gas turbine participating in frequency modulation includes:
When the gas turbine participates in frequency modulation, natural gas is consumed, and when the output of the gas turbine is increased, the natural gas required to be consumed is increased, and the calculation formula is as follows:
Wherein P gas represents the purchase price of natural gas, H represents the high heat value of natural gas, deltaP i g represents the output variation of the ith gas turbine during frequency modulation, eta g,i represents the power generation efficiency of the ith gas turbine, t represents the time length of the gas turbine participating in frequency modulation, and N g represents the total number of gas turbines;
The calculation formula of the cost C es of the electric energy storage frequency modulation is as follows:
Wherein, a ac,j represents a cost coefficient of aging of the energy storage device caused by increasing charge and discharge times of the energy storage device participating in frequency modulation, P ec,j represents charging power of the energy storage device, η ec,j represents charging efficiency of the energy storage device, P ed,j represents discharging power of the energy storage device, η ed,j represents discharging efficiency of the energy storage device, t represents duration of participation of the electric energy storage device in frequency modulation, and N es represents total number of the energy storage devices.
As a preferable scheme of the analysis decision method for whether the virtual power plant participates in frequency modulation or not, the invention comprises the following steps: the opportunity cost C lo of the virtual power plant participating in the frequency modulation operation has the following calculation formula:
Clo＝Clo,g+Clo,es
Wherein C lo,g represents gas turbine opportunity cost, C lo,es represents electric energy storage opportunity cost;
the gas turbine opportunity cost C lo,g has a calculation formula as follows:
Wherein P e represents the prediction of the online price of electricity, lambda g,i represents the operating resources of the ith gas turbine when participating in the operation of electric energy, Representing the maximum operating output level of the ith gas turbine, P g,i representing the FM output level of the ith gas turbine;
the calculation formula of the electric energy storage opportunity cost C lo,es is as follows:
Wherein P peak represents a peak-time electricity price prediction, P valley represents a valley-time electricity price prediction, Representing the maximum output level of the j-th electric energy storage device, and the frequency modulation output level of the P es,j -th electric energy storage device;
the calculation formula of the cost C load of the adjustable load participating in frequency modulation is as follows:
Cload＝Ploss*Lloss*t
Wherein P loss represents a unit price for compensating for the adjustable load, L loss represents a load change amount of the adjustable load during frequency modulation;
The calculation formula of the starting and stopping cost C start of the gas turbine is as follows:
Cstart＝∑Pstart,i*N
Wherein P start,i represents the cost of single start of the ith gas turbine, and N represents the number of times of starting the ith gas turbine in the time period of participating in frequency modulation.
As a preferable scheme of the method for analyzing and deciding whether the virtual power plant participates in frequency modulation or not, the invention comprises the following steps: the virtual power plant frequency modulation optimization model comprises an objective function formula:
TR＝RM
Wherein TR represents the total return of the virtual power plant to participate in the frequency modulation operation, and R M represents the solar frequency modulation mileage compensation of the power generation unit.
As a preferable scheme of the method for analyzing and deciding whether the virtual power plant participates in frequency modulation or not, the invention comprises the following steps: the calculation formula of the solar frequency modulation mileage compensation R M of the power generation unit is as follows:
Wherein, Representing the comprehensive frequency modulation performance index of the virtual power plant in the trading period t, and D t represents the frequency modulation mileage prediction of the virtual power plant in the trading period t,/>Representing the frequency modulation mileage clearing price in the running day transaction period t,/>Frequency modulation mileage clearing price of a history day is represented, and T represents a history day;
The comprehensive frequency modulation performance index The technical formula of (2) is as follows:
Wherein, Representing the rate at which a virtual power plant responds to a frequency modulation command,/>Representing the frequency modulation accuracy of the response of the virtual power plant to the frequency modulation instruction,/>The time delay of the response of the virtual power plant to the frequency modulation command is represented by V R, the actual regulation rate of the virtual power plant in the trade period t is represented by V, the standard regulation rate which the virtual power plant should reach is represented by A R, the deviation amount of the actual regulation of the virtual power plant in the trade period t is represented by A, the allowable deviation amount of regulation is represented by Deltat, the time prediction from the time of receiving the frequency modulation command to the time of jumping out of the frequency modulation response dead zone of the virtual power plant is represented by M, and the maximum allowable response delay is represented by M.
As a preferable scheme of the method for analyzing and deciding whether the virtual power plant participates in frequency modulation or not, the invention comprises the following steps: the output decision result comprises comparing the total cost TC of the virtual power plant participating in the frequency modulation auxiliary service operation with the total return TR to obtain the return PR obtained by the virtual power plant participating in the frequency modulation auxiliary service operation, and a specific formula
PR＝TR-TC
When PR <0, the virtual power plant participates in the frequency modulation operation and is considered to face the defect, and the virtual power plant aggregator should not participate in the frequency modulation operation; when PR >0, it is considered that the virtual power plant is involved in the frequency tuning operation at this time would be profitable, and the virtual power plant aggregator should be involved in the frequency tuning operation.
An analysis decision system for whether a virtual power plant participates in frequency modulation, which is characterized in that: comprising the steps of (a) a step of,
The system comprises a login authentication module, a data input module, a cost calculation module, a return calculation module, a decision module and a data output module;
The login authentication module: for self-identity verification of a user;
the data input module is connected with the login authentication module and is used for inputting virtual power plant related parameters and frequency modulation related data required by the cost calculation module and the return calculation module;
The cost calculation module is connected with the data input module and the decision module, acquires the related parameters of the virtual power plant input by the data input module, calculates the cost of the gas turbine, the energy storage and the adjustable load in the virtual power plant for frequency modulation according to the related parameters of the virtual power plant, and transmits the obtained total resources of the virtual power plant for frequency modulation auxiliary service to the decision module;
The return calculation module is connected with the data input module and the decision module, acquires the frequency modulation related data input by the data input module, solves and obtains the return obtained by the virtual power plant participating in the operation of the frequency modulation auxiliary service, and transmits the obtained return to the decision module;
The decision module is connected with the cost calculation module, the return calculation module and the data output module, compares the total frequency modulation resources of the virtual power plant transmitted by the cost calculation module with the returns obtained by the participation of the virtual power plant in frequency modulation, which are transmitted by the return calculation module, so as to determine whether the virtual power plant should participate in frequency modulation operation or not, and transmits decision results to the data output module;
the data output module is connected with the decision module and outputs the decision result transmitted by the decision module.
A computer device comprising a memory storing a computer program and a processor implementing the steps of the method as described above when the processor executes the computer program.
A computer readable storage medium having stored thereon a computer program which when executed by a processor realizes the steps of the method as described above.
The invention has the beneficial effects that: the invention realizes the efficient and optimal configuration of the virtual power plant resources. By integrating the real-time data, the invention can accurately evaluate the performance and response capability of multiple resources such as gas turbines, electric energy storage and the like in frequency modulation operation. This advancement assists virtual power plant aggregators in making data-driven accurate decisions in frequency modulation operations, thereby improving the efficiency and reliability of the operations.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art. Wherein:
FIG. 1 is a flowchart showing an overall decision-making method for analyzing whether a virtual power plant participates in frequency modulation according to a first embodiment of the present invention;
FIG. 2 is a flowchart of a method for determining whether a virtual power plant participates in frequency modulation according to a first embodiment of the present invention;
Fig. 3 is a connection diagram of an analysis decision system for determining whether a virtual power plant participates in frequency modulation according to a first embodiment of the present invention.
Detailed Description
So that the manner in which the above recited objects, features and advantages of the present invention can be understood in detail, a more particular description of the invention, briefly summarized above, may be had by reference to the embodiments, some of which are illustrated in the appended drawings. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.
Example 1
Referring to fig. 1 to fig. 2, for an embodiment of the present invention, an analysis decision method for determining whether a virtual power plant participates in frequency modulation is provided, including:
S1: frequency modulation related data and virtual power plant related parameters are input.
And inputting frequency modulation related data and virtual power plant related parameters through a data input module.
S2: and establishing a frequency modulation cost model of the virtual power plant, and calculating the total resources of the virtual power plant participating in the operation of the frequency modulation auxiliary service.
It should be noted that the virtual power plant of the present invention is contemplated to be aggregated from gas turbines, electrical energy storage, and adjustable loads. Because the up-regulation demand is far greater than the down-regulation demand in the system, the invention establishes an up-regulation cost model for the virtual power plant. The specific formula is as follows:
objective function:
TC＝Cg+Ces+Clo+Cload+Cstart
Wherein TC is the total cost of the virtual power plant participating in the frequency modulation operation, C g is the cost of the gas turbine participating in the frequency modulation operation, C es is the cost of the electric energy storage frequency modulation operation, C lo is the opportunity cost of the virtual power plant participating in the frequency modulation operation, C load is the cost of the adjustable load participating in the frequency modulation operation, and C start is the start-stop cost of the gas turbine.
Constraint conditions:
(1) The gas turbine participates in the frequency modulation of the operation resources: the gas turbine is involved in frequency modulation and consumes natural gas, which increases as the gas turbine output increases.
Wherein P gas is the purchase price of natural gas, H is the high heat value of natural gas, 10.8 (kWh)/m 3 is taken here, deltaP i g is the output variation of the ith gas turbine during frequency modulation, eta g,i is the power generation efficiency of the ith gas turbine, t is the time length of the gas turbine participating in frequency modulation, and N g is the total number of the gas turbines.
(2) Cost of electricity energy storage participation in frequency modulation: the aging cost generated in the frequency modulation process of the electric energy storage is mainly used.
Wherein A ac,j is the cost coefficient of ageing of the energy storage device caused by increasing the charge and discharge times of the energy storage device participating in frequency modulation, P ec,j is the charging power of the energy storage device, eta ec,j is the charging efficiency of the energy storage device, P ed,j is the discharging power of the energy storage device, eta ed,j is the discharging efficiency of the energy storage device, t is the duration of the energy storage device participating in frequency modulation, and N es is the total number of the energy storage devices.
(3) Opportunity cost of the virtual power plant to participate in frequency modulation: the opportunity cost is the return on loss due to the virtual power plant failing to participate in the electric energy operation by participating in the frequency modulation operation. The opportunity cost mainly consists of two parts of gas turbine opportunity cost and electric energy storage opportunity cost.
Clo＝Clo,g+Clo,es
Where C lo,g is the gas turbine opportunity cost and C lo,es is the electric energy storage opportunity cost.
Gas turbine opportunity cost: the gas turbine reserves a portion of the power generation capacity to participate in the frequency modulation operation, resulting in the portion of the power generation capacity not being available for use in the electrical energy operation and losing a portion of the return. The calculation formula is as follows:
wherein P e is the prediction of the online electricity price, lambda g,i is the operation resource of the ith gas turbine when participating in the operation of electric energy, For the maximum operating output level of the ith gas turbine, P g,i is the FM output level of the ith gas turbine.
Electric energy storage opportunity cost: the electric energy storage can be charged in a low electricity price period and discharged in a high electricity price period when participating in electric energy operation, so that return is obtained, and the return is lost when participating in frequency modulation operation. The calculation formula is as follows:
Wherein P peak is a peak-time electricity price prediction, P valley is a valley-time electricity price prediction, The maximum output level of the j electric energy storage device is the frequency modulation output level of the P es,j j electric energy storage device.
(4) Cost of adjustable load participation in frequency modulation:
Cload＝Ploss*Lloss*t
Wherein P loss is a unit price for compensating an adjustable load, the upper limit compensation unit price is 2 yuan/kWh, and L loss is a load change amount of the adjustable load during frequency modulation.
(5) The starting and stopping cost of the gas turbine is as follows: there is a startup cost for the gas turbine at startup.
Wherein P start,i is the cost of single start of the ith gas turbine, and N is the number of times of starting the ith gas turbine in the time period of participating in frequency modulation.
S3: and establishing a frequency modulation optimization model of the virtual power plant, and calculating the return obtained by the participation of the virtual power plant in the frequency modulation operation.
It should be noted that the frequency modulation report includes two parts, namely frequency modulation capacity compensation and frequency modulation mileage compensation. The virtual power plant frequency modulation optimization model only comprises a frequency modulation mileage compensation part, and only takes the virtual power plant to participate in frequency modulation operation and does not take the virtual power plant to participate in electric energy operation into consideration. The specific formula is as follows:
objective function:
TR＝RM
where TR is the total return of the virtual power plant to participate in the frequency modulation operation.
Constraint conditions:
(1) Frequency modulation mileage compensation: the virtual power plant participates in the operation of the frequency modulation auxiliary service to provide the frequency modulation auxiliary service, so that corresponding frequency modulation mileage compensation can be obtained. The frequency modulation mileage compensation is counted daily, the settlement is carried out monthly, and the calculation formula of the frequency modulation mileage compensation R M of the power generation unit is as follows:
in the method, in the process of the invention, For the comprehensive frequency modulation performance index of the virtual power plant in the trading period t, D t is the frequency modulation mileage prediction of the virtual power plant in the trading period t, and/(A)For the frequency modulation mileage clearing price in the transaction period T of the operation day, the average value of the frequency modulation mileage clearing price of 14 days before the operation day is taken as the clearing price of the operation day, wherein T represents a frequency modulation period, 240 minutes, T represents a history day, 24 hours,/>Price is paid for the frequency modulation mileage on the historical day.
(2) Comprehensive frequency modulation performance indexAnd when the frequency modulation control command is responded during the operation of the virtual power plant, the action condition of the virtual power plant after responding to the frequency modulation command is evaluated and measured from three aspects of the adjustment rate, the frequency modulation response time and the adjustment precision, and the specific formula is as follows:
in the method, in the process of the invention, Rate of response of frequency modulated instructions for virtual power plants,/>For the frequency modulation precision of response frequency modulation instructions of the virtual power plant,/>For the time delay of the virtual power plant in response to the frequency modulation command, V R is the actual regulation rate prediction of the virtual power plant in the trade period t, V is the standard regulation rate which the virtual power plant should reach, A R is the deviation amount prediction of the actual regulation of the virtual power plant in the trade period t, A is the allowable deviation amount of regulation, deltat is the time prediction of the dead zone of the frequency modulation response from receiving the frequency modulation command to jumping out of the frequency modulation command of the virtual power plant, and M is 5 minutes.
S4: and comparing the total frequency modulation resources of the virtual power plant participating in the operation of the frequency modulation auxiliary service with the obtained returns, and outputting a decision result.
Comparing the total cost of the virtual power plant participating in the operation of the frequency modulation auxiliary service with the obtained return to obtain the return obtained by the virtual power plant participating in the operation of the frequency modulation auxiliary service, wherein the specific formula is as follows:
PR＝TR-TC
where PR is the return of the virtual power plant to participate in the frequency modulation operation.
When PR <0, the virtual power plant participation in the frequency modulation operation is considered to face a defect, the virtual power plant aggregator should not participate in the frequency modulation operation, and when PR >0, the virtual power plant participation in the frequency modulation operation is considered to be profitable, and the virtual power plant aggregator should participate in the frequency modulation operation.
In the above embodiment, the system further includes an analysis decision system for determining whether the virtual power plant participates in frequency modulation, specifically:
the system comprises a login authentication module, a data input module, a cost calculation module, a return calculation module, a decision module and a data output module.
The login authentication module: for self-identity verification of the user.
The data input module is connected with the login authentication module and is used for inputting virtual power plant related parameters and frequency modulation related data required by the cost calculation module and the return calculation module.
The cost calculation module is connected with the data input module and the decision module, acquires the relevant parameters of the virtual power plant input by the data input module, calculates the cost of the gas turbine, the energy storage and the adjustable load in the virtual power plant for frequency modulation according to the relevant parameters of the virtual power plant, and transmits the obtained total resources of the virtual power plant for the frequency modulation auxiliary service to the decision module.
The return calculation module is connected with the data input module and the decision module, acquires the frequency modulation related data input by the data input module, solves and obtains the return obtained by the virtual power plant participating in the operation of the frequency modulation auxiliary service, and transmits the obtained return to the decision module.
The decision module is connected with the cost calculation module, the return calculation module and the data output module, compares the total frequency modulation resources of the virtual power plant transmitted by the cost calculation module with the returns obtained by the participation of the virtual power plant in frequency modulation, thereby determining whether the virtual power plant should participate in frequency modulation operation or not, and transmitting the decision result to the data output module.
The data output module is connected with the decision module and outputs the decision result transmitted by the decision module.
Further, the virtual power plant related parameters include gas turbine installed capacity, energy storage capacity, aging cost coefficient of electric energy storage, natural gas purchase price, adjustable load compensation unit price and the like. The frequency modulation related data comprise a frequency modulation mileage price of historical days, a frequency modulation required adjustment rate, a frequency modulation allowed adjustment deviation and the like.
Further, the decision module compares the total resources of the virtual power plant participating in the frequency modulation auxiliary service with the obtained returns, if the total frequency modulation resources are smaller than the obtained returns, the virtual power plant should participate in the frequency modulation operation, and the obtained returns are obtained returns minus the total frequency modulation resources; if the total frequency modulation resource is greater than the obtained return, the virtual power plant should not participate in the frequency modulation operation.
Further, the decision result is that the virtual power plant aggregator should participate in the tuning operation and the return obtained by participating in the tuning operation or that the virtual power plant aggregator should not participate in the tuning operation, otherwise would face a deficit.
The computer device may be a server. The computer device includes a processor, a memory, an Input/Output interface (I/O) and a communication interface. The processor, the memory and the input/output interface are connected through a system bus, and the communication interface is connected to the system bus through the input/output interface. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The database of the computer device is used for storing data cluster data of the power monitoring system. The input/output interface of the computer device is used to exchange information between the processor and the external device. The communication interface of the computer device is used for communicating with an external terminal through a network connection. The computer program, when executed by the processor, implements a method for analyzing and deciding whether a virtual power plant is involved in frequency modulation.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, database, or other medium used in embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile memory may include Read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high density embedded nonvolatile memory, resistive random access memory (ReRAM), magnetic random access memory (MagnetoresistiveRandomAccessMemory, MRAM), ferroelectric memory (FerroelectricRandomAccessMemory, FRAM), phase change memory (PhaseChangeMemory, PCM), graphene memory, and the like. Volatile memory can include random access memory (RandomAccessMemory, RAM) or external cache memory, and the like. By way of illustration, and not limitation, RAM can take many forms, such as static random access memory (StaticRandomAccessMemory, SRAM) or dynamic random access memory (DynamicRandomAccessMemory, DRAM), among others. The databases referred to in the embodiments provided herein may include at least one of a relational database and a non-relational database. The non-relational database may include, but is not limited to, a blockchain-based distributed database, and the like. The processor referred to in the embodiments provided in the present application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic unit, a data processing logic unit based on quantum computing, or the like, but is not limited thereto.
Example 2
For one embodiment of the invention, an analysis decision method for whether the virtual power plant participates in frequency modulation is provided, and in order to verify the beneficial effects of the invention, scientific demonstration is carried out through economic benefit calculation and simulation/comparison experiments. Reference may be made to table 1:
TABLE 1 theoretical experiment data reference table for participation in frequency modulation operations of virtual power plants
It can be seen that the inventive method is a 28.5% reduction in cost compared to prior art solutions, possibly due to more efficient resource allocation and optimized operating strategies. Compared with the prior art, the method improves the total return by 6.0%, and reflects higher operation participation efficiency and return capability. The method of the present invention improves the resource utilization efficiency by 21.4%, possibly due to more accurate data analysis and resource allocation. Compared with the prior art, the method reduces the frequency modulation response time by 33.3 percent, and shows faster operation response capability. The method of the present invention is superior to prior art schemes in terms of operational adaptability and risk control capability, possibly due to more flexible decision models and real-time data analysis.
It should be noted that the above embodiments are only for illustrating the technical solution of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that the technical solution of the present invention may be modified or substituted without departing from the spirit and scope of the technical solution of the present invention, which is intended to be covered in the scope of the claims of the present invention.
Claims (10)
1. The analysis decision method for whether the virtual power plant participates in frequency modulation is characterized by comprising the following steps:
inputting frequency modulation related data and virtual power plant related parameters;
Establishing a frequency modulation cost model of the virtual power plant, and calculating total resources of the virtual power plant participating in frequency modulation auxiliary service operation;
Establishing a virtual power plant frequency modulation optimization model, and calculating the return obtained by the participation of the virtual power plant in the frequency modulation operation;
and comparing the total frequency modulation resources of the virtual power plant participating in the operation of the frequency modulation auxiliary service with the obtained returns, and outputting a decision result.
2. The analytical decision-making method for whether a virtual power plant participates in frequency modulation according to claim 1, wherein: the virtual power plant comprises a gas turbine, an electric energy storage and an adjustable load;
the virtual power plant frequency modulation cost model comprises the steps of establishing an upper frequency modulation cost model aiming at a virtual power plant, wherein an objective function is as follows:
TC＝Cg+Ces+Clo+Cload+Cstart
Wherein TC represents the total cost of the virtual power plant to participate in the tuning operation, C g represents the cost of the gas turbine to participate in the tuning operation, C es represents the cost of the electrical energy storage for tuning, C lo represents the opportunity cost of the virtual power plant to participate in the tuning operation, C load represents the cost of the adjustable load to participate in the tuning operation, and C start represents the gas turbine start-stop cost.
3. The analytical decision-making method for whether a virtual power plant participates in frequency modulation according to claim 2, wherein: the cost C g of the gas turbine participating in frequency modulation comprises the following steps:
When the gas turbine participates in frequency modulation, natural gas is consumed, and when the output of the gas turbine is increased, the natural gas required to be consumed is increased, and the calculation formula is as follows:
Wherein P gas represents the purchase price of natural gas, H represents the high heat value of natural gas, deltaP i g represents the output variation of the ith gas turbine during frequency modulation, eta g,i represents the power generation efficiency of the ith gas turbine, t represents the time length of the gas turbine participating in frequency modulation, and N g represents the total number of gas turbines;
The calculation formula of the cost C es of the electric energy storage frequency modulation is as follows:
Wherein, a ac,j represents a cost coefficient of aging of the energy storage device caused by increasing charge and discharge times of the energy storage device participating in frequency modulation, P ec,j represents charging power of the energy storage device, η ec,j represents charging efficiency of the energy storage device, P ed,j represents discharging power of the energy storage device, η ed,j represents discharging efficiency of the energy storage device, t represents duration of participation of the electric energy storage device in frequency modulation, and N es represents total number of the energy storage devices.
4. The analytical decision-making method for whether a virtual power plant participates in frequency modulation according to claim 5, wherein: the opportunity cost C lo of the virtual power plant participating in the frequency modulation operation has the following calculation formula:
Clo＝Clo,g+Clo,es
Wherein C lo,g represents gas turbine opportunity cost, C lo,es represents electric energy storage opportunity cost;
the gas turbine opportunity cost C lo,g has a calculation formula as follows:
Wherein P e represents the prediction of the online price of electricity, lambda g,i represents the operating resources of the ith gas turbine when participating in the operation of electric energy, Representing the maximum operating output level of the ith gas turbine, P g,i representing the FM output level of the ith gas turbine;
the calculation formula of the electric energy storage opportunity cost C lo,es is as follows:
Wherein P peak represents a peak-time electricity price prediction, P valley represents a valley-time electricity price prediction, Representing the maximum output level of the j-th electric energy storage device, and the frequency modulation output level of the P es,j -th electric energy storage device;
the calculation formula of the cost C load of the adjustable load participating in frequency modulation is as follows:
Cload＝Ploss*Lloss*t
Wherein P loss represents a unit price for compensating for the adjustable load, L loss represents a load change amount of the adjustable load during frequency modulation;
The calculation formula of the starting and stopping cost C start of the gas turbine is as follows:
Cstart＝ΣPstart,i*N
Wherein P start,i represents the cost of single start of the ith gas turbine, and N represents the number of times of starting the ith gas turbine in the time period of participating in frequency modulation.
5. The analytical decision-making method for whether a virtual power plant participates in frequency modulation according to claim 4, wherein: the virtual power plant frequency modulation optimization model comprises an objective function formula:
TR＝RM
Wherein TR represents the total return of the virtual power plant to participate in the frequency modulation operation, and R M represents the solar frequency modulation mileage compensation of the power generation unit.
6. The analytical decision-making method for whether a virtual power plant participates in frequency modulation according to claim 5, wherein: the calculation formula of the solar frequency modulation mileage compensation R M of the power generation unit is as follows:
Wherein, Representing the comprehensive frequency modulation performance index of the virtual power plant in the trading period t, and D t represents the frequency modulation mileage prediction of the virtual power plant in the trading period t,/>Representing the frequency modulation mileage clearing price in the running day transaction period t,/>Frequency modulation mileage clearing price of a history day is represented, and T represents a history day;
The comprehensive frequency modulation performance index The technical formula of (2) is as follows:
Wherein, Representing the rate at which a virtual power plant responds to a frequency modulation command,/>Representing the frequency modulation accuracy of the response of the virtual power plant to the frequency modulation instruction,/>The time delay of the response of the virtual power plant to the frequency modulation command is represented by V R, the actual regulation rate of the virtual power plant in the trade period t is represented by V, the standard regulation rate which the virtual power plant should reach is represented by A R, the deviation amount of the actual regulation of the virtual power plant in the trade period t is represented by A, the allowable deviation amount of regulation is represented by Deltat, the time prediction from the time of receiving the frequency modulation command to the time of jumping out of the frequency modulation response dead zone of the virtual power plant is represented by M, and the maximum allowable response delay is represented by M.
7. The analytical decision-making method for whether a virtual power plant participates in frequency modulation according to claim 6, wherein: the output decision result includes comparing the total cost TC of the virtual power plant participating in the frequency modulation auxiliary service operation with the total return TR to obtain the return PR obtained by the virtual power plant participating in the frequency modulation operation, and the specific formula is as follows:
PR＝TR-TC
When PR <0, the virtual power plant participates in the frequency modulation operation and is considered to face the defect, and the virtual power plant aggregator should not participate in the frequency modulation operation; when PR >0, it is considered that the virtual power plant is involved in the frequency tuning operation at this time would be profitable, and the virtual power plant aggregator should be involved in the frequency tuning operation.
8. An analytical decision-making system for whether a virtual power plant is involved in frequency modulation using a method according to any of claims 1-7, characterized in that: the system comprises a login authentication module, a data input module, a cost calculation module, a return calculation module, a decision module and a data output module;
The login authentication module: for self-identity verification of a user;
the data input module is connected with the login authentication module and is used for inputting virtual power plant related parameters and frequency modulation related data required by the cost calculation module and the return calculation module;
The cost calculation module is connected with the data input module and the decision module, acquires the related parameters of the virtual power plant input by the data input module, calculates the cost of the gas turbine, the energy storage and the adjustable load in the virtual power plant for frequency modulation according to the related parameters of the virtual power plant, and transmits the obtained total resources of the virtual power plant for frequency modulation auxiliary service to the decision module;
The return calculation module is connected with the data input module and the decision module, acquires the frequency modulation related data input by the data input module, solves and obtains the return obtained by the virtual power plant participating in the operation of the frequency modulation auxiliary service, and transmits the obtained return to the decision module;
The decision module is connected with the cost calculation module, the return calculation module and the data output module, compares the total frequency modulation resources of the virtual power plant transmitted by the cost calculation module with the returns obtained by the participation of the virtual power plant in frequency modulation, which are transmitted by the return calculation module, so as to determine whether the virtual power plant should participate in frequency modulation operation or not, and transmits decision results to the data output module;
the data output module is connected with the decision module and outputs the decision result transmitted by the decision module.
9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any of claims 1 to 7 when the computer program is executed.
10. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 7.
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