Configuration method and device of composite power station, computer equipment and storage medium

Abstract

The application relates to a parameter configuration method and device of a composite power station, computer equipment and a storage medium. The method comprises the following steps: constructing an operation model of the composite power station according to a first electric energy output of a new energy unit, a second electric energy output of a traditional energy unit, and a total expected electric energy output and a new energy expected electric energy output of the composite power station to be configured; constructing a cost objective function of the composite power station according to a construction cost and a use cost of the composite power station; the configuration parameters of the composite power station are contained in the operation model and the cost objective function, and the configuration parameters at least comprise a quantity parameter of the new energy unit and a quantity parameter of the traditional energy unit in the composite power station; and the parameter values of the configuration parameters are obtained by solving the cost objective function with the operation model as a first constraint condition. The method can optimize the configuration of the composite power station and ensure the balance between supply and demand of urban electric energy on the basis of low cost.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of new energy, in particular to a configuration method and device of a composite power station, a computer device and a storage medium. BACKGROUND

[0002] In the process of the transformation of the power system in China, the proportion of new energy is gradually increasing. In the case of ensuring the matching of production capacity and consumption, guiding the transformation of the power system to new energy, and realizing the transformation construction of new energy as the main and traditional energy as the auxiliary, is the primary problem currently faced by the power system.

[0003] In the current power system construction, the construction of new energy units and traditional energy units is often distributed in a scattered manner. This distribution method often requires more construction costs and is not convenient for centralized and unified regulation. In this case, the configuration of new energy units and traditional energy units is not coordinated, which causes imbalance between production capacity and power consumption, and needs to be improved. SUMMARY

[0004] Therefore, it is necessary to provide a method, device, computer device and readable storage medium for reasonably configuring the parameter configuration of a composite power station of new energy and traditional energy in view of the above technical problems.

[0005] In a first aspect, the present application provides a parameter configuration method of a composite power station. The method comprises:

[0006] According to the first electric energy output of the new energy unit, the second electric energy output of the traditional energy unit, and the total expected electric energy output and the new energy expected electric energy output of the to-be-configured composite power station, an operation model of the composite power station is constructed. The operation model comprises at least one of the following: a power station total capacity model, a power station capacity expected deviation model, a power station capacity fluctuation model, a new energy capacity consumption model, and a power station capacity sending rate model.

[0007] According to the construction cost and use cost of the composite power station, a cost objective function of the composite power station is constructed. The configuration parameters of the composite power station are contained in the operation model and the cost objective function. The configuration parameters at least include: the number of new energy units and the number of traditional energy units in the composite power station.

[0008] Taking the operation model as the first constraint condition, the cost objective function is solved to obtain the parameter value of the configuration parameter.

[0009] In one of the embodiments, according to the first electric energy output of the new energy unit, the second electric energy output of the traditional energy unit, and the total expected electric energy output and the new energy expected electric energy output of the to-be-configured composite power station, the operation model of the composite power station is constructed, which comprises at least one of the following:

[0010] According to the configuration parameters of the to-be-configured composite power station, the first electric energy output of the new energy unit, the second electric energy output of the traditional energy unit, and the charging power and discharging power of the composite power station, an overall power station capacity model of the composite power station is constructed;

[0011] According to the overall power station capacity model, the overall expected electric energy output of the composite power station, and the capacity deviation factor, a power station capacity expected deviation model of the composite power station is constructed;

[0012] According to the overall power station capacity model and the fluctuation capacity factor, a power station capacity fluctuation model of the composite power station is constructed;

[0013] According to the configuration parameters, the capacity period, the new energy expected electric energy output of the composite power station, the first electric energy output of the new energy unit, and the new energy utilization rate, a new energy capacity consumption model of the composite power station is constructed;

[0014] According to the overall power station capacity model, the outward transmission capacity and the domestic sales capacity of the composite power station are determined, and according to the outward transmission capacity, the domestic sales capacity, the capacity period, and the outward transmission factor, a power station capacity outward transmission rate model of the composite power station is constructed.

[0015] In one of the embodiments, the method further comprises:

[0016] The second constraint condition of the cost objective function is constructed; the second constraint condition comprises at least one of the following: an energy balance constraint condition, a system flow constraint condition, a traditional energy constraint condition, and a model constraint condition.

[0017] Correspondingly, the cost objective function is solved with the operation model as the first constraint condition, to obtain the parameter value of the configuration parameter, comprising:

[0018] The operation model is taken as the first constraint condition, and the cost objective function is solved according to the first constraint condition and the second constraint condition, to obtain the parameter value of the configuration parameter.

[0019] In one of the embodiments, the second constraint condition of the cost objective function comprises at least one of the following:

[0020] According to the first electric energy output, the second electric energy output, the new energy expected electric energy output, the charging power and discharging power of the composite power station, and the abandoned wind and light amount of the new energy, the energy balance constraint condition in the second constraint condition is constructed;

[0021] According to the second electric energy output and the unit parameters of the traditional energy unit, the traditional energy constraint condition in the second constraint condition is constructed;

[0022] According to the first electric energy output, the second electric energy output, the unit parameters of the traditional energy unit, the unit parameters of the new energy unit, the energy storage unit parameters, and the regional capacity characteristics of the composite power station, the model constraint condition in the second constraint condition is constructed.

[0023] In an embodiment, the method further comprises:

[0024] determining, according to the parameter value, an energy production and consumption matching degree of the new energy unit in the composite power station;

[0025] performing accuracy evaluation on the parameter value according to the energy production and consumption matching degree;

[0026] if the evaluation passes, configuring the composite power station based on the parameter value.

[0027] In an embodiment, the method further comprises:

[0028] determining new energy power production of the composite power station configured based on the parameter value;

[0029] determining, according to the new energy power production and total output power of the composite power station, the energy production and consumption matching degree of the new energy unit in the composite power station.

[0030] In a second aspect, the present application further provides a device for optimizing configuration of a composite power station. The device comprises:

[0031] a model establishing module configured to establish an operation model of the composite power station according to first power production of a new energy unit, second power production of a traditional energy unit, and total expected power production and new energy expected power production of the composite power station to be configured;

[0032] a function establishing module configured to establish a cost objective function of the composite power station according to construction cost and use cost of the composite power station;

[0033] a function solving module configured to solve the cost objective function to obtain a parameter value of the configuration parameter, with the operation model as a first constraint condition.

[0034] In a third aspect, the present application further provides a computer device. The computer device comprises a memory and a processor, the memory stores a computer program, and the processor implements the following steps when executing the computer program:

[0035] establishing an operation model of the composite power station according to first power production of a new energy unit, second power production of a traditional energy unit, and total expected power production and new energy expected power production of the composite power station to be configured; wherein the operation model comprises at least one of a power station total power production model, a power station power production expected deviation model, a power station power production fluctuation model, a new energy power production and consumption model, and a power station power production sending rate model;

[0036] constructing a cost objective function of the composite power station according to a construction cost and a use cost of the composite power station; the configuration parameters of the composite power station are contained in the operation model and the cost objective function, and the configuration parameters at least include a quantity parameter of a new energy unit and a quantity parameter of a traditional energy unit in the composite power station;

[0037] solving the cost objective function with the operation model as a first constraint condition to obtain parameter values of the configuration parameters.

[0038] In a fourth aspect, the present application further provides a computer readable storage medium. The computer readable storage medium has a computer program stored thereon, and the computer program is executed by a processor to implement the following steps:

[0039] constructing an operation model of the composite power station according to the first electric energy output of the new energy unit, the second electric energy output of the traditional energy unit, and a total expected electric energy output and a new energy expected electric energy output of the composite power station to be configured; the operation model includes at least one of a power station total capacity model, a power station capacity expected deviation model, a power station capacity fluctuation model, a new energy capacity consumption model, and a power station capacity sending rate model;

[0040] constructing a cost objective function of the composite power station according to a construction cost and a use cost of the composite power station; the configuration parameters of the composite power station are contained in the operation model and the cost objective function, and the configuration parameters at least include a quantity parameter of a new energy unit and a quantity parameter of a traditional energy unit in the composite power station;

[0041] solving the cost objective function with the operation model as a first constraint condition to obtain parameter values of the configuration parameters.

[0042] In a fifth aspect, the present application further provides a computer program product. The computer program product includes a computer program, and the computer program is executed by a processor to implement the following steps:

[0043] constructing an operation model of the composite power station according to the first electric energy output of the new energy unit, the second electric energy output of the traditional energy unit, and a total expected electric energy output and a new energy expected electric energy output of the composite power station to be configured; the operation model includes at least one of a power station total capacity model, a power station capacity expected deviation model, a power station capacity fluctuation model, a new energy capacity consumption model, and a power station capacity sending rate model;

[0044] constructing a cost objective function of the composite power station according to a construction cost and a use cost of the composite power station; the configuration parameters of the composite power station are contained in the operation model and the cost objective function, and the configuration parameters at least include a quantity parameter of a new energy unit and a quantity parameter of a traditional energy unit in the composite power station;

[0045] Take the operation model as the first constraint condition, solve the cost target function, and obtain the parameter value of the configuration parameter.

[0046] The parameter configuration method, device, computer equipment, storage medium and computer program product of the composite power station, according to the power generation of the new energy unit and the traditional energy unit and the total expected power generation and the new energy expected power generation, construct the operation model of the composite power station, construct the cost target function according to the cost of the composite power station, and solve the target cost function with the operation model as the first constraint condition. The specific parameter value of the configuration parameter of the composite power station is obtained. Since the target function of the embodiment is established according to the cost, and the operation model is used as the first constraint adjustment, the configuration parameter established according to the function solves the composite power station, which not only guarantees the lowest cost, but also guarantees that the power generation and consumption of the composite power station can match, and also guarantees the coordination between new energy and traditional energy. In addition, the traditional energy unit and the new energy unit are deployed in one composite power station in the embodiment, which can also solve the problem of unified adjustment caused by the dispersed deployment of new energy units and traditional energy units. BRIEF DESCRIPTION OF DRAWINGS

[0047] Figure 1 The application environment diagram of the parameter configuration method of the composite power station in one embodiment;

[0048] Figure 2 The flowchart of the parameter configuration method of the composite power station in one embodiment;

[0049] Figure 3 The flowchart of establishing the operation model in one embodiment;

[0050] Figure 4 The flowchart of the parameter configuration method of the composite power station in another embodiment;

[0051] Figure 5 The flowchart of the parameter configuration method of the composite power station in another embodiment;

[0052] Figure 6 The flowchart of determining the evaluation parameter in one embodiment;

[0053] Figure 7 The flowchart of the parameter configuration method of the composite power station in another embodiment;

[0054] Figure 8 The structure block diagram of the parameter configuration device of the composite power station in one embodiment;

[0055] Figure 9 The structure block diagram of the model establishing module in one embodiment;

[0056] Figure 10A structural block diagram of a parameter configuration device of a composite power station in another embodiment;

[0057] Figure 11 A structural block diagram of a constraint building module in an embodiment;

[0058] Figure 12 A structural block diagram of a parameter evaluation module in an embodiment;

[0059] Figure 13 A structural block diagram of a production and consumption calculation unit in an embodiment;

[0060] Figure 14 An internal structural diagram of a computer device in an embodiment. DETAILED DESCRIPTION

[0061] In order to make the purposes, technical solutions and advantages of the present application clearer, the present application will be further described in detail below with reference to the drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and not used to limit the present application.

[0062] The parameter configuration method of the composite power station provided by the embodiments of the present application can be applied in an application environment as shown in Figure 1 In an embodiment, a computer device is provided, which can be a server, and an internal structural diagram of the computer device can be as shown in Figure 1 The computer device includes a processor, a memory and a network interface connected through a system bus. The processor of the computer device is used 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, a computer program and a database. The internal memory provides an environment for the operating system and the computer program in the non-volatile storage medium to run. The database of the computer device is used to store data required when determining configuration parameters of the composite power station. The network interface of the computer device is used to communicate with an external terminal through a network connection. The computer program is executed by the processor to implement the parameter configuration method of the composite power station shown in any of the embodiments described below.

[0063] In an embodiment, as shown in Figure 2 A parameter configuration method of a composite power station is provided, which is described below by taking the computer device in Figure 1 as an example, including the following steps:

[0064] S201, constructing an operation model of the composite power station according to a first electric energy output of a new energy unit, a second electric energy output of a traditional energy unit, a total expected electric energy output of the composite power station to be configured and a new energy expected electric energy output.

[0065] The new energy unit is a generator set using new energy such as light energy and wind energy to generate electricity, including a wind turbine generator set and a photovoltaic generator set. The first electric energy output is the power generation of a new energy unit in a unit of time. The traditional energy unit is a generator set using fire to generate electricity. The second electric energy output is the power generation of a traditional energy unit in a unit of time. The composite power station is a power station composed of a new energy unit, a traditional energy unit and an energy storage unit. The total expected electric energy output of the composite power station is the sum of the expected electric energy outputs of the new energy unit and the traditional energy unit. The new energy expected electric energy output is the expected electric energy output of the new energy unit.

[0066] The operation model of the composite power station can be a model representing the energy production and consumption indicators in the operation process of the composite power station. The operation model can include at least one of a power station total energy production model, a power station energy production expected deviation model, a power station energy production fluctuation model, a new energy energy production consumption model and a power station energy production delivery rate model.

[0067] Specifically, the power station total energy production model can be constructed according to the first electric energy output and the second electric energy output, the power station energy production expected deviation model can be constructed according to the first electric energy output, the second electric energy output and the total expected electric energy output of the composite power station, the power station energy production fluctuation model can be constructed according to the difference of the first electric energy output at different times, the new energy energy production consumption model can be constructed according to the consumption part of the first electric energy output, and the power station energy production delivery rate model can be constructed according to the delivery part of the total energy production of the composite power station.

[0068] Optionally, when the constructed operation model of the composite power station includes all of the power station total energy production model, the power station energy production expected deviation model, the power station energy production fluctuation model, the new energy energy production consumption model and the power station energy production delivery rate model, the operation model is the most perfect.

[0069] S202, constructing a cost objective function of the composite power station according to the construction cost and the use cost of the composite power station.

[0070] The cost objective function of the composite power station can be a relationship function representing the total cost of constructing and using the composite power station. The so-called use cost includes the annual operation cost of the composite power station, the annual operation cost of the traditional energy unit, the peak regulation cost of the traditional energy unit and other system costs.

[0071] Optionally, the cost objective function of the embodiment is determined according to the construction cost and the use cost of the composite power station according to the following formula (1).

[0072]

[0073] Wherein, minf is the minimum value of the total cost of the composite power station, is the new investment cost of the mth large composite power station, is the annual operation cost of the mth large-scale composite power station in the yth year, m is the total number of newly built composite power stations, and y is the planning period, is the annual operation cost of the existing traditional energy unit, is the peak regulation cost of the existing traditional energy unit, g is the number of traditional energy units, is the other cost of the system, including the network loss cost and the external transmission cost, and it should be noted that the traditional energy unit can be a thermal power unit.

[0074] Optionally, the construction cost of the composite power station in the above formula (1) is the new investment cost of the composite power station, which can be determined by the following formula (2).

[0075]

[0076] wherein, is the new investment cost of the composite power station, is the fixed investment cost of the composite power station, is the unit capacity investment cost of the new energy unit, is the unit capacity investment cost of the traditional energy unit, is the unit capacity investment cost of the energy storage unit, re is the planning investment additional coefficient of the new energy unit, pg is the planning investment additional coefficient of the traditional energy unit, es is the planning investment additional coefficient of the energy storage unit, is the configuration capacity of the nth new energy unit in the mth composite power station, is the configuration capacity of the nth traditional energy unit in the mth composite power station, es,m is the configuration capacity of the nth energy storage unit in the mth composite power station, * is the number of new energy units, * is the number of traditional energy units.

[0077] Optionally, the use cost in the above formula (1) includes the annual operation cost of the composite power station the annual operation cost of the traditional energy unit the peak regulation cost of the traditional energy unit the other cost of the system

[0078] the annual operation cost of the composite power station can be determined by the following formula (3).

[0079]

[0080] wherein, is the annual operation cost of the mth composite power station, cre c is the unit operation cost of new energy cut c is the unit operation cost of abandoned wind and light pg c is the unit operation cost of traditional energy es c is the unit operation cost of energy storage unit is the amount of abandoned wind and light in the composite power station is the energy output of new energy unit n in the composite power station m at time t is the energy output of traditional energy unit n in the composite power station m at time t, Δt is the time scale, N* is the number of new energy units, N* is the number of traditional energy units, D is the number of days, and T is the number of time periods per day.

[0081] Annual operation cost of traditional energy unit It can be determined by the following formula (4).

[0082]

[0083] wherein, is the annual operation cost of traditional energy unit, c is the unit start-stop cost of traditional energy unit g,n c is the unit generation cost of traditional energy unit e,n c is the unit emission cost of traditional energy unit, and α is the emission coefficient set to implement the role transformation of thermal power e,n >1 as a system configuration requirement, is the start-stop state of traditional energy unit at time t is the start-stop state of traditional energy unit at time t-1 is the energy output value of traditional energy unit, Δt is the time scale, D is the number of days, and T is the number of time periods per day.

[0084] Peak regulation cost of traditional energy unit It can be determined by the following formula (5).

[0085]

[0086] wherein, is the peak regulation cost of thermal power, is the unit peak regulation cost of thermal power, is the energy output value of traditional energy unit at time t is the energy output value of traditional energy unit at time t-1, Δt is the time scale, D is the number of days, and T is the number of time periods per day.

[0087] Other costs of the system It can be determined by the following formula (6).

[0088]

[0089] wherein, is the other cost of the system, c grid is the unit transmission cost of the line, c line is the unit transmission cost of the delivery channel, is the power flowing through the branch, L is the set of branches, is the delivery capacity of the composite power plant m at time t, Δt is the time scale, D is the number of days, and T is the number of time periods per day.

[0090] It should be noted that the configuration parameters of the composite power plant are included in the operation model and the cost objective function in the embodiment, and the configuration parameters at least include: a quantity parameter (i.e., a quantity value) of a new energy unit in the composite power plant and a quantity parameter (i.e., a quantity value) of a traditional energy unit.

[0091] S203, taking the operation model as the first constraint condition, solving the cost objective function to obtain the parameter value of the configuration parameter.

[0092] When solving the cost objective function in S202, the operation model established in S201 needs to be taken as the first constraint condition, that is, the power generation capacity of the composite power plant is also considered while minimizing the cost.

[0093] Specifically, since the operation model of the large composite power plant constructed contains absolute value calculation in the optimization objective, it can be converted into a mixed integer linear programming problem after optimization by the following formula (7):

[0094]

[0095] wherein, x + , x - are auxiliary variables introduced.

[0096] For formula (7), a commercial solver Cplex can be used for solving, which integrates the advantages of optimization algorithms such as branch and bound method and cut plane method, and can quickly solve the mixed integer programming problem, that is, the parameter value of the configuration parameter is obtained.

[0097] The parameter configuration method of the composite power station comprises the following steps: constructing an operation model of the composite power station according to the energy generation of the new energy unit and the traditional energy unit, the total expected energy generation of the composite power station to be configured and the new energy expected energy generation; constructing a cost objective function according to the construction cost and operation cost of the composite power station; and solving the cost objective function with the constructed operation model as a first constraint condition. The composite power station realizes centralized construction of the new energy unit and the traditional energy unit, greatly reduces the cost, and is convenient for centralized and unified regulation. The configuration parameters calculated by the above scheme consider the relationship between the new energy unit and the traditional energy unit, so that the new energy unit and the traditional energy unit are coordinated with each other, and the energy generation and the power consumption can be matched with each other.

[0098] In one embodiment, as shown in Figure 3 the above embodiment, the specific implementation of constructing an operation model of the composite power station according to the first energy generation of the new energy unit, the second energy generation of the traditional energy unit, and the total expected energy generation of the composite power station to be configured and the new energy expected energy generation can include at least one of the following:

[0099] S301, constructing a power station total energy generation model of the composite power station according to the configuration parameters of the composite power station to be configured, the first energy generation of the new energy unit, the second energy generation of the traditional energy unit, and the charging power and the discharging power of the composite power station.

[0100] The charging power of the composite power station is the excess energy generation that charges the energy storage unit of the composite power station when the sum of the first energy generation and the second energy generation is greater than the total regional power consumption at the moment. The power for charging the energy storage unit is the charging power of the composite power station.

[0101] The discharging power of the composite power station is the discharging of the energy storage unit of the composite power station to make up for the insufficient part when the sum of the first energy generation and the second energy generation is less than the total regional power consumption at the moment. The discharging power of the energy storage unit is the discharging power of the composite power station.

[0102] The power station total energy generation model is a model representing the sum of the energy generation of the new energy unit and the traditional energy unit in the composite power station. The power station total energy generation model is constructed based on the following formula (8) according to the energy generation of the new energy unit, the energy generation of the traditional energy unit, the charging power and the discharging power of the composite power station, and the specific formula is as follows:

[0103]

[0104] Ptotal(t) = Pnew(t) + Ptraditional(t) + Pcharge(t) - Pdischarge(t) (8) t CG Ptotal(t) is the total energy generation of the composite power station at t moment, Pnew(t) is the energy generation of the new energy unit n in the composite power station at t moment, a traditional energy unit n at time t, a discharge power of the composite power plant at time t, a charging power of the composite power plant at time t, * a number of new energy units, * a number of traditional energy units.

[0105] S302, constructing a power plant energy production expectation deviation model of the composite power plant according to the total power plant energy production model, the total expected energy production of the composite power plant and the energy production deviation factor.

[0106] The energy deviation price and the maximum deviation value are collectively referred to as the energy production deviation factor.

[0107] The power plant energy production expectation deviation model is a model representing the relationship between the actual energy production of the composite power plant and the planned energy production of the composite power plant. When the difference between the actual energy production of the composite power plant and the planned energy production of the composite power plant exceeds a preset threshold, a deviation cost is generated. Based on the deviation cost, the power plant energy production expectation deviation model can be constructed. Specifically, the expectation deviation model is the following formula (9)-(10):

[0108]

[0109]

[0110] wherein, a positive deviation cost generated in the t period, a negative deviation cost generated in the t period, satisfying a condition, c dev a positive energy deviation price, c t a negative energy deviation price, a dev a maximum allowed deviation, a planned energy production of the composite power plant at time t, t CG an actual energy production of the composite power plant at time t.

[0111] S303, constructing a power plant energy production fluctuation model of the composite power plant according to the total power plant energy production model and the fluctuation capacity factor.

[0112] The fluctuation capacity factor is the maximum fluctuation capacity allowed by the composite power plant.

[0113] The power plant energy production fluctuation model is a model for representing the difference between the power plant energy production at a certain time and the power plant energy production at the previous time. Specifically, the power plant energy production fluctuation model is the following formula (11):

[0114]

[0115] P t CG is the total power generation capacity of the composite power plant at time t, is the total power generation capacity of the composite power plant at time t-1, are respectively the maximum allowable fluctuation capacity of the large composite power plant.

[0116] S304, constructing a new energy power generation consumption model of the composite power plant according to the configuration parameters, the power generation period, the expected new energy power generation of the new energy unit of the composite power plant, the first power generation of the new energy unit and the new energy utilization rate.

[0117] The new energy power generation consumption model is a model for characterizing the relationship between the predicted power generation of the new energy unit and the minimum comprehensive utilization of the new energy, and specifically, the new energy power generation consumption model is the following formula (12):

[0118]

[0119] wherein, is the predicted power generation of the new energy unit n at time t, is the actual power generation of the new energy unit n in the composite power plant at time t, α re is the minimum comprehensive utilization rate of the new energy, N * is the number of new energy units, and T is the number of time periods per day.

[0120] S305, determining the outward power generation and the internal sale power generation of the composite power plant according to the total power generation model of the power plant, and constructing a power plant power generation outward rate model of the composite power plant according to the outward power generation, the internal sale power generation, the power generation period and the outward factor.

[0121] The power plant power generation outward rate model is a model for characterizing the relationship between the outward capacity, the local consumption capacity, the minimum utilization rate of the outward channel and the upper limit of the outward capacity, and specifically, the power plant power generation outward rate model is the following formula (13):

[0122]

[0123] wherein, is the outward capacity, is the local consumption capacity, P t CG is the total power generation capacity of the composite power plant at time t, Δt is the time scale, α line is the minimum utilization rate of the outward channel, P line is the upper limit of the outward capacity, and T is the number of time periods per day.

[0124] It should be noted that when constructing the operation model of the composite power plant, any one or more steps of S301-S305 can be performed.

[0125] In the embodiment, by constructing the power plant total capacity model, the power plant capacity expectation deviation model, the power plant capacity fluctuation model, the new energy capacity consumption model and the power plant capacity sending rate model, the constructed operation model can more comprehensively represent the relationship between the capacity of the composite power plant and the regional energy consumption, thereby ensuring that the configuration parameters determined subsequently based on the operation model as a constraint are more accurate.

[0126] In one embodiment, as shown in Figure 4 To make the configuration parameters more accurate, on the basis of the above embodiment, a second constraint condition of the cost target function also needs to be constructed, and the method further includes:

[0127] S401, constructing an operation model of the composite power plant according to the first electric energy output of the new energy unit, the second electric energy output of the traditional energy unit, and the total expected electric energy output and the new energy expected electric energy output of the composite power plant to be configured.

[0128] The operation model includes at least one of the power plant total capacity model, the power plant capacity expectation deviation model, the power plant capacity fluctuation model, the new energy capacity consumption model and the power plant capacity sending rate model.

[0129] S402, constructing a cost target function of the composite power plant according to the construction cost and the use cost of the composite power plant.

[0130] The configuration parameters of the composite power plant are included in both the operation model and the cost target function, and the configuration parameters at least include the number parameters of the new energy unit and the number parameters of the traditional energy unit in the composite power plant.

[0131] S403, constructing a second constraint condition of the cost target function.

[0132] The second constraint condition can include at least one of the energy balance constraint condition, the system flow constraint condition, the traditional energy constraint condition and the model constraint condition.

[0133] The energy balance constraint condition is to ensure that the system maintains supply-demand balance in each time period, the system flow constraint condition limits the transmission rate, the traditional energy constraint condition is the ramping and start-stop constraint of the traditional energy unit, and the model constraint condition is the constraint of the constructed operation model on the cost target function.

[0134] When the second constraint condition contains all the above constraint conditions, the constructed cost target function is the most perfect.

[0135] Optionally, the embodiment can construct the energy balance constraint condition in the second constraint condition according to the first electric energy output, the second electric energy output, the new energy expected electric energy output, the charging power and the discharging power of the composite power plant, and the wind and light curtailment of the new energy.

[0136] wherein the first electric energy production is the production of new energy units in the composite power station. The second electric energy production is the production of traditional energy units in the composite power station. The new energy expected electric energy production is the expected electric energy production of new energy units in the composite power station. The charging power and discharging power of the composite power station is the charging power and discharging power of energy storage units in the composite power station. The wind and light curtailment of new energy is the wind and light curtailment of new energy units in the composite power station.

[0137] wherein the energy balance constraint condition is to ensure that the system maintains supply-demand balance at each time period, and the energy balance constraint condition can be formula (14) as follows:

[0138]

[0139] wherein, is the new energy expected electric energy production at t period, is the production value of the traditional energy unit n at t moment, is the production of new energy units n in the composite power station m at t moment, is the production of traditional energy units n in the composite power station m at t moment, is the discharging power of energy storage units in the composite power station m at t moment, is the charging power of energy storage units in the composite power station m at t moment, is the wind and light curtailment in the composite power station, M is the number of composite power stations, N g is the number of traditional energy units, N * is the number of new energy units, N * is the number of traditional energy units.

[0140] Optionally, the embodiment can construct a traditional energy constraint condition in the second constraint condition according to the second electric energy production and the unit parameters of the traditional energy units.

[0141] wherein the second electric energy production is the production of traditional energy units in the composite power station. The unit parameters of the traditional energy units are the start-stop state of the traditional energy units, the maximum capacity of the traditional energy units, the maximum up ramping capacity ratio of the thermal power, the maximum down ramping capacity ratio of the thermal power, the working capacity of the traditional energy units, the minimum working capacity ratio of the traditional energy units, the start capacity of the traditional energy units, and the stop capacity of the traditional energy units.

[0142] wherein the traditional energy constraint condition is the ramping and start-stop constraint of the traditional energy units, and the traditional energy constraint condition can be formula (15) as follows:

[0143]

[0144] wherein, a production capacity of the traditional energy unit at time t, a start-stop state of the traditional energy unit at time t, G g,n a maximum capacity of the nth traditional energy unit, a maximum up-ramp capacity ratio of the thermal power, a maximum down-ramp capacity ratio of the thermal power, a working capacity of the traditional energy unit at time t, a working capacity of the traditional energy unit at time t-1, a minimum working capacity ratio of the traditional energy unit, a start capacity of the traditional energy unit at time t, a stop capacity of the thermal power at time t, a stop capacity of the thermal power at time t-T, on a minimum start duration, T off a minimum stop duration, respectively, a production capacity of the traditional energy unit at time t-1.

[0145] Optionally, the embodiment can construct the model constraint condition in the second constraint condition according to the first electric energy production, the second electric energy production, the unit parameters of the traditional energy unit, the unit parameters of the new energy unit, the energy storage unit parameters, and the regional energy production characteristics of the composite power station.

[0146] The first electric energy production is the production capacity of the new energy unit in the composite power station. The second electric energy production is the production capacity of the traditional energy unit in the composite power station. The regional energy production characteristics of the composite power station include: minimum requirement of the regional wind-solar capacity configuration ratio, maximum requirement of the regional wind-solar capacity configuration ratio, installed capacity of regional wind power, installed capacity of regional photovoltaic, abandoned wind and light amount of new energy units in the composite power station, and average energy production rate of regional wind / light. The unit parameters of the traditional energy unit are the configuration capacity of the traditional energy unit and the maximum ramp rate ratio of the traditional energy unit. The unit parameters of the new energy unit are the configuration capacity of the new energy unit, the minimum capacity ratio of the new energy unit, and the upper and lower intervals of the new energy unit production fluctuation. The energy storage unit parameters are the discharge power of the energy storage unit, the charge power of the energy storage unit, the “0-1” switch state of the energy storage charge, the “0-1” switch state of the energy storage discharge, the maximum charge-discharge power of the energy storage unit, the state of charge of the energy storage unit, the charge efficiency of the energy storage unit, the discharge efficiency of the energy storage unit, the upper limit of the state of charge of the energy storage unit, the lower limit of the state of charge of the energy storage unit, and the configuration capacity of the energy storage unit.

[0147] The model constraint condition is the constructed operation model of the composite power station, and the regulating power and the energy storage in the power station have certain adjustment limitation requirements on the operation model. The model constraint condition can be the following formulas (16)-(19):

[0148] The power regulation limit is specifically represented as:

[0149]

[0150] wherein, is the installed capacity of the nth traditional energy unit in the composite power station m, is the energy output of the traditional energy unit n in the composite power station m at time t, is the energy output of the traditional energy unit n in the composite power station m at time t-1, represents the maximum ramp rate proportion of the traditional energy unit.

[0151] The energy storage regulation limit is specifically represented as:

[0152]

[0153] wherein, is the discharging power of the energy storage unit at time t, is the discharging power of the energy storage unit n in the composite power station m at time t, is the charging power of the energy storage unit n in the composite power station m at time t, is the "0-1" switch state of the energy storage charging, is the "0-1" switch state of the energy storage discharging, is the maximum charging and discharging power of the energy storage unit, is the state of charge of the energy storage unit at time t, is the state of charge of the energy storage at time t+1, is the charging efficiency of the energy storage unit, is the discharging efficiency of the energy storage unit, is the upper limit of the state of charge of the energy storage unit, is the lower limit of the state of charge of the energy storage unit, and Δt is the time scale. es,m is the installed capacity of the nth energy storage unit in the composite power station m.

[0154] The capacity configuration constraint can be represented by the formula:

[0155]

[0156] wherein, is the installed capacity of the nth new energy unit in the composite power station m, is the installed capacity of the nth traditional energy unit in the composite power station m, and es,m is the installed capacity of the nth energy storage unit in the composite power station m, is the minimum capacity proportion requirement of the new energy unit, is the minimum requirement of the regional wind and light capacity configuration ratio, Maximum requirement of regional wind power capacity configuration ratio, Installed capacity of regional wind power, Installed capacity of regional photovoltaic power, wp Number of wind power generators, N pv Number of photovoltaic generators, N * Number of new energy generators, N * Number of traditional energy generators, M is the number of composite power stations.

[0157] Considering that there is a certain utilization ratio between new energy output and capacity configuration, the capacity and operation of large composite power stations have the following coupling constraint relationship:

[0158]

[0159] Among them, Configuration capacity of the nth new energy generator in the mth composite power station, Energy generated by the nth new energy generator in the mth composite power station at time t, Amount of abandoned wind and light in the composite power station, λ re Average output rate of regional wind / light, Upper interval of new energy generator energy fluctuation, Lower interval of new energy generator energy fluctuation.

[0160] S404, taking the operation model as the first constraint condition, and according to the first constraint condition and the second constraint condition, solving the cost objective function to obtain the parameter value of the configuration parameter.

[0161] Optionally, the cost objective function is a composite function composed of multiple cost functions, the operation model is the first constraint condition, which is a function set composed of multiple functions, and the second constraint condition is also a function set composed of multiple functions. When solving the cost objective function, the restrictions in the first constraint condition and the second constraint condition are applied to the cost objective function, and the result of the solving is the recommended configuration parameter value.

[0162] Specifically, the first and second constraint conditions are substituted into the objective function, which can be converted into a linear programming problem for solving according to the above formula (7).

[0163] In this embodiment, the cost objective function is constrained by the first and second constraint conditions, so that the solving parameters of the target cost function not only consider the matching of energy generation and consumption, but also consider the energy balance relationship, the constraints of traditional energy generators and some limitations of the operation model, so that the determined configuration parameters are more accurate, and further, based on the configuration parameters, the configured composite power station can maintain the balance between energy generation and consumption in the region under the condition of meeting various limitations, and also minimize the establishment and operation cost of the composite power station.

[0164] In one embodiment, as shown in the above embodiment, after solving the objective function, the parameter configuration method of the composite power station of the embodiment further comprises: Figure 5

[0165] S501, constructing an operation model of the composite power station according to the first electric energy output of the new energy unit, the second electric energy output of the traditional energy unit, and the total expected electric energy output and the new energy expected electric energy output of the composite power station to be configured.

[0166] Among them, the operation model includes at least one of the power station total capacity model, the power station capacity expected deviation model, the power station capacity fluctuation model, the new energy capacity consumption model and the power station capacity sending rate model.

[0167] S502, constructing a cost objective function of the composite power station according to the construction cost and the use cost of the composite power station.

[0168] Among them, the configuration parameters of the composite power station are contained in the operation model and the cost objective function, and the configuration parameters at least include the number parameters of the new energy unit and the number parameters of the traditional energy unit in the composite power station.

[0169] S503, solving the cost objective function with the operation model as the first constraint condition to obtain the parameter value of the configuration parameter.

[0170] S504, determining the energy production and consumption matching degree of the new energy unit in the composite power station according to the parameter value.

[0171] Among them, the energy production and consumption matching degree refers to the matching degree between the electric energy output of the composite power station and the local electric energy consumption.

[0172] After solving the cost objective function according to the first and second constraint conditions, the configuration parameters of the composite power station can be obtained, and then the production and consumption matching degree of the new energy unit can be calculated according to the configuration parameters.

[0173] Specifically, it can be calculated by the following formula (20):

[0174]

[0175] Among them, is the production and consumption matching degree index of a day or a season, var(·) is the variance calculation, T is the number of daily time periods, is the output value of the rth new energy unit in the region at t time, R is the number of new energy units, L t is the total load of the region at t time.

[0176] In the above formula (20), the lower the index value is, the higher the production and consumption matching degree of the new energy unit is.​

[0177] S505, performing accuracy evaluation on the parameter value according to the energy production and consumption matching degree.

[0178] After the new energy production and consumption matching degree is calculated according to the configuration parameter obtained by solving, the configuration parameter is evaluated. A specific evaluation method includes: comparing the production and consumption matching degree of the composite power station after the optimization configuration with the production and consumption matching degree of the composite power station before the optimization configuration. If the production and consumption matching degree after the optimization configuration is higher, the evaluation is passed.

[0179] Another evaluation method is to check whether the current energy production and consumption matching degree is greater than a certain threshold. If yes, the evaluation is passed.

[0180] S506, if the evaluation is passed, configuring the composite power station based on the parameter value.

[0181] Optionally, after the accuracy evaluation on the parameter value in S505 is passed, the composite power station can be configured based on the configuration parameter obtained by solving.

[0182] In the embodiment, by verifying the configuration parameter obtained by solving, it is proved that the configuration parameter obtained by solving can optimize the production and consumption matching degree, and it is ensured that the composite power station configured based on the configuration parameter obtained by solving can match the production and consumption in the region, and the situation of power failure due to the mismatch between production and consumption will not occur.

[0183] In one embodiment, as shown in Figure 6 Based on the above embodiment, an optional way of calculating the production and consumption matching degree is given, which specifically includes:

[0184] S601, determining the new energy electric energy production of the composite power station configured based on the parameter value.

[0185] The configuration parameter includes the number parameter of the new energy unit. According to the number parameter of the new energy unit and the first electric energy production of a single new energy unit, the new energy electric energy production in the composite power station can be determined. For example, the number parameter of the new energy unit is multiplied by the first electric energy production of a single new energy unit.

[0186] S602, determining the energy production and consumption matching degree of the new energy unit in the composite power station according to the new energy electric energy production and the total output electric energy of the composite power station.

[0187] Specifically, the production and consumption matching degree index of the new energy unit is calculated according to the above formula (20). The lower the index is, the higher the production and consumption matching degree of the new energy unit is.

[0188] In the embodiment, through the calculation of the production and sales matching degree, it is verified again that the configuration parameters solved in the scheme can make the configuration of the composite power station rational, and the problem of low production and sales matching degree in the prior art is avoided.

[0189] Optionally, on the basis of the above embodiment, an optional mode of optimal configuration of a composite power station is given, as shown in Figure 7

[0190] S701, according to the configuration parameters of the to-be-configured composite power station, the first electric energy output of the new energy unit, the second electric energy output of the traditional energy unit, and the charging power and the discharging power of the composite power station, an electric station total energy model in a running model of the composite power station is constructed.

[0191] S702, according to the electric station total energy model and the fluctuation capacity factor, an electric station energy fluctuation model in the running model of the composite power station is constructed.

[0192] S703, according to the configuration parameters, the energy period, the new energy expected electric energy output of the composite power station, the first electric energy output of the new energy unit and the new energy utilization rate, a new energy energy consumption model in the running model of the composite power station is constructed.

[0193] S704, according to the electric station total energy model, the external sending energy and the internal sales energy of the composite power station are determined, and according to the external sending energy, the internal sales energy, the energy period and the external sending factor, an electric station energy external sending rate model in the running model of the composite power station is constructed.

[0194] S705, according to the construction cost and the use cost of the composite power station, a cost objective function of the composite power station is constructed.

[0195] Among them, the configuration parameters of the composite power station are contained in the running model and the cost objective function, and the configuration parameters at least include: the number parameters of the new energy unit and the number parameters of the traditional energy unit in the composite power station.

[0196] S706, according to the first electric energy output, the second electric energy output, the new energy expected electric energy output, the charging power and the discharging power of the composite power station, and the abandoned wind and light amount of the new energy, an energy balance constraint condition in the second constraint condition is constructed.

[0197] S707, according to the second electric energy output and the unit parameters of the traditional energy unit, a traditional energy constraint condition in the second constraint condition is constructed.

[0198] S708, according to the first electric energy output, the second electric energy output, the unit parameters of the traditional energy unit, the unit parameters of the new energy unit, the energy storage unit parameters, and the regional energy characteristics of the composite power station, a model constraint condition in the second constraint condition is constructed.

[0199] ​S709, taking the running model as a first constraint condition, and solving the cost objective function according to the first constraint condition and a second constraint condition to obtain a parameter value of the configuration parameter.

[0200] S710, determining new energy electric energy production of the composite power station configured based on the parameter value.

[0201] S711, determining energy production and consumption matching degree of the new energy unit in the composite power station according to the new energy electric energy production and total output electric energy of the composite power station.

[0202] S712, performing accuracy evaluation on the parameter value according to the energy production and consumption matching degree.

[0203] S713, if the evaluation passes, configuring the composite power station based on the parameter value.

[0204] The specific process of S701-S713 can be referred to the description of the method embodiments, and the implementation principle and technical effects are similar, which will not be repeated here.

[0205] It should be understood that, although each step in the flowchart involved in the above embodiments is displayed in sequence according to the arrow, these steps are not necessarily executed in sequence according to the arrow. Unless otherwise stated herein, the execution of these steps has no strict sequence limitation, and these steps can be executed in other orders. Moreover, at least part of the steps in the flowchart involved in the above embodiments can include multiple steps or stages, which are not necessarily executed at the same time, but can be executed at different times, and the execution sequence of these steps or stages is not necessarily sequential, but can be alternately executed with other steps or steps or stages in other steps.

[0206] Based on the same inventive concept, the embodiments of the present application also provide a parameter configuration device of a composite power station for implementing the above-mentioned parameter configuration method of the composite power station. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme described in the above method, so the specific limitations in one or more parameter configuration device embodiments of the composite power station provided below can be referred to the limitations of the parameter configuration method of the composite power station in the above, which will not be repeated here.

[0207] In one embodiment, as shown in Figure 8 , a parameter configuration device of a composite power station is provided, comprising: a model establishing module 80, a function constructing module 81 and a function solving module 82, wherein:

[0208] The model establishing module 80 is configured to construct an operation model of the composite power station according to the first electric energy output of the new energy unit, the second electric energy output of the traditional energy unit, and the total expected electric energy output and the new energy expected electric energy output of the composite power station to be configured.

[0209] The function constructing module 81 is configured to construct a cost objective function of the composite power station according to the construction cost and the use cost of the composite power station.

[0210] The function solving module 82 is configured to solve the cost objective function to obtain the parameter value of the configuration parameter, with the operation model as a first constraint condition.

[0211] In one embodiment, as shown in Figure 9 the model establishing module 80 in the above Figure 8 may include:

[0212] The first construction unit 800 is configured to construct a total power station capacity model of the composite power station according to the configuration parameter of the composite power station to be configured, the first electric energy output of the new energy unit, the second electric energy output of the traditional energy unit, and the charging power and the discharging power of the composite power station.

[0213] The second construction unit 801 is configured to construct a power station capacity expected deviation model of the composite power station according to the total power station capacity model, the total expected electric energy output and the capacity deviation factor of the composite power station.

[0214] The third construction unit 802 is configured to construct a power station capacity fluctuation model of the composite power station according to the total power station capacity model and the fluctuation capacity factor.

[0215] The fourth construction unit 803 is configured to construct a new energy capacity consumption model of the composite power station according to the configuration parameter, the capacity period, the new energy expected electric energy output of the composite power station, the first electric energy output of the new energy unit, and the new energy utilization rate.

[0216] The fifth construction unit 804 is configured to determine the outward transmission capacity and the domestic sale capacity of the composite power station according to the total power station capacity model, and construct a power station capacity outward transmission rate model of the composite power station according to the outward transmission capacity, the domestic sale capacity, the capacity period, and the outward transmission factor.

[0217] In one embodiment, as shown in Figure 10 the parameter configuration device of the composite power station in the above Figure 8 may further include a constraint constructing module 83 configured to perform the following steps:

[0218] constructing a second constraint condition of the cost objective function; the second constraint condition includes at least one of an energy balance constraint condition, a system power flow constraint condition, a traditional energy constraint condition, and a model constraint condition.

[0219] Accordingly, the function solver module 82 is specifically used for:

[0220] The running model is used as the first constraint, and the cost objective function is solved based on the first and second constraints to obtain the parameter values ​​of the configuration parameters.

[0221] In one embodiment, such as Figure 11 As shown, above Figure 10 The constraint building module 83 may include:

[0222] The sixth building unit 830 is used to build the energy balance constraint in the second constraint based on the first power output, the second power output, the expected power output of new energy, the charging power and discharging power of the composite power station, and the amount of wind and solar power curtailment of new energy.

[0223] The seventh building unit 831 is used to build the traditional energy constraint in the second constraint based on the second power output and the unit parameters of the traditional energy unit.

[0224] The eighth building unit 832 is used to build the model constraints in the second constraint condition based on the first power output, the second power output, the unit parameters of the traditional energy unit, the unit parameters of the new energy unit, the energy storage unit parameters, and the regional capacity characteristics of the composite power station.

[0225] In one embodiment, such as Figure 13 As shown in a-13b, above Figure 9 The parameter configuration device for the composite power plant may further include: a parameter evaluation module 84, which includes:

[0226] The production and consumption calculation unit 840 is used to determine the energy production and consumption matching degree of new energy units in the composite power station based on parameter values.

[0227] The parameter evaluation unit 841 is used to evaluate the accuracy of parameter values ​​based on the matching degree of energy production and sales.

[0228] The parameter configuration unit 842 is used to configure the composite power station based on parameter values ​​after the evaluation is passed.

[0229] In one embodiment, such as Figure 13 As shown, above Figure 12 The production and consumption calculation unit 840 in the middle may include the following sub-units:

[0230] The production determination subunit 8400 is used to determine the new energy power output of the composite power plant based on parameter value configuration.

[0231] The production and consumption determination subunit 8401 is used to determine the energy production and consumption matching degree of the new energy units in the composite power station based on the new energy power output and the total output power of the composite power station.

[0232] The modules in the aforementioned optimized configuration of the composite power plant can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device, or stored in the memory of a computer device as software, so that the processor can call and execute the operations corresponding to each module.

[0233] In one embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be as follows: Figure 14 As shown, the computer device includes a processor, memory, communication interface, display screen, and input devices connected via a system bus. The processor provides computing and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The communication interface is used for wired or wireless communication with external terminals; wireless communication can be achieved through Wi-Fi, mobile cellular networks, NFC (Near Field Communication), or other technologies. When the computer program is executed by the processor, it implements a parameter configuration method for a composite power station. The display screen can be an LCD screen or an e-ink screen. The input devices can be a touch layer covering the display screen, buttons, a trackball, or a touchpad on the computer device's casing, or an external keyboard, touchpad, or mouse.

[0234] Those skilled in the art will understand that Figure 14 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0235] In one embodiment, a computer device is provided, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to perform the following steps:

[0236] Based on the first power output of the new energy units, the second power output of the traditional energy units, and the total expected power output and the expected power output of the composite power station to be configured, an operation model for the composite power station is constructed. The operation model includes at least one of the following: total power station capacity model, expected power station capacity deviation model, power station capacity fluctuation model, new energy capacity absorption model, and power station capacity transmission rate model.

[0237] construct a cost objective function of the composite power station according to construction cost and use cost of the composite power station; the configuration parameters of the composite power station are contained in the operation model and the cost objective function, and the configuration parameters at least include: quantity parameter of the new energy unit and quantity parameter of the traditional energy unit in the composite power station;

[0238] take the operation model as the first constraint condition, solve the cost objective function, and obtain the parameter value of the configuration parameter.

[0239] In one embodiment, the processor, when executing the computer program, also implements the following steps:

[0240] construct a power station total capacity model of the composite power station according to the configuration parameter of the composite power station to be configured, the first electric energy output of the new energy unit, the second electric energy output of the traditional energy unit, and the charging power and the discharging power of the composite power station; construct a power station capacity expectation deviation model of the composite power station according to the power station total capacity model, total expected electric energy output of the composite power station and capacity deviation factor; construct a power station capacity fluctuation model of the composite power station according to the power station total capacity model and fluctuation capacity factor; construct a new energy capacity consumption model of the composite power station according to the configuration parameter, capacity period, new energy expected electric energy output of the composite power station, the first electric energy output of the new energy unit and new energy utilization rate; and construct a power station capacity external sending rate model of the composite power station according to the external sending capacity and the internal selling capacity of the composite power station determined according to the power station total capacity model, the capacity period and external sending factor.

[0241] In one embodiment, the processor, when executing the computer program, also implements the following steps:

[0242] construct a second constraint condition of the cost objective function; the second constraint condition includes at least one of: energy balance constraint condition, system power flow constraint condition, traditional energy constraint condition and model constraint condition; and correspondingly, taking the operation model as the first constraint condition, solving the cost objective function to obtain the parameter value of the configuration parameter includes: taking the operation model as the first constraint condition, and solving the cost objective function according to the first constraint condition and the second constraint condition to obtain the parameter value of the configuration parameter.

[0243] In one embodiment, the processor, when executing the computer program, also implements the following steps:

[0244] The energy balance constraint condition in the second constraint condition is constructed according to the first electric energy output, the second electric energy output, the new energy expected electric energy output, the charging power and the discharging power of the composite power station, and the wind and light curtailment amount of the new energy.

[0245] In one embodiment, the processor, when executing the computer program, also implements the following steps: determining the energy production and consumption matching degree of the new energy unit in the composite power station according to the parameter value; performing accuracy evaluation on the parameter value according to the energy production and consumption matching degree; and if the evaluation is passed, configuring the composite power station based on the parameter value.

[0246] In one embodiment, the processor, when executing the computer program, also implements the following steps:

[0247] determining the new energy electric energy output of the composite power station configured based on the parameter value; and determining the energy production and consumption matching degree of the new energy unit in the composite power station according to the new energy electric energy output and the total output electric energy of the composite power station.

[0248] In one embodiment, a computer readable storage medium is provided, and the computer readable storage medium stores a computer program, and the computer program, when executed by a processor, implements the following steps:

[0249] constructing an operation model of the composite power station according to the first electric energy output of the new energy unit, the second electric energy output of the traditional energy unit, and the total expected electric energy output and the new energy expected electric energy output of the composite power station to be configured; wherein the operation model comprises at least one of the following: a power station total capacity model, a power station capacity expected deviation model, a power station capacity fluctuation model, a new energy capacity consumption model, and a power station capacity sending rate model;

[0250] constructing a cost objective function of the composite power station according to the construction cost and the use cost of the composite power station; the configuration parameters of the composite power station are contained in the operation model and the cost objective function, and the configuration parameters at least comprise: the number parameter of the new energy unit and the number parameter of the traditional energy unit in the composite power station;

[0251] taking the operation model as the first constraint condition, solving the cost objective function, and obtaining the parameter value of the configuration parameter.

[0252] In one embodiment, the processor, when executing the computer program, also implements the following steps:

[0253] The power station total capacity model of the composite power station is constructed according to the configuration parameters of the composite power station to be configured, the first electric energy output of the new energy unit, the second electric energy output of the traditional energy unit, and the charging power and the discharging power of the composite power station; the power station capacity expectation deviation model of the composite power station is constructed according to the power station total capacity model, the total expected electric energy output of the composite power station, and the capacity deviation factor; the power station capacity fluctuation model of the composite power station is constructed according to the power station total capacity model and the fluctuation capacity factor; the new energy capacity consumption model of the composite power station is constructed according to the configuration parameters, the capacity period, the new energy expected electric energy output of the composite power station, the first electric energy output of the new energy unit, and the new energy utilization rate; and the power station capacity export rate model of the composite power station is constructed according to the power station total capacity model, the determination of the export capacity and the domestic sales capacity of the composite power station, and the export factor according to the export capacity, the domestic sales capacity, the capacity period, and the export factor.

[0254] In one embodiment, the computer program, when executed by the processor, further implements the following steps:

[0255] The second constraint condition of the cost objective function is constructed; the second constraint condition includes at least one of the energy balance constraint condition, the system power flow constraint condition, the traditional energy constraint condition, and the model constraint condition; and correspondingly, the parameter value of the configuration parameter is obtained by solving the cost objective function with the running model as the first constraint condition, including: taking the running model as the first constraint condition, and solving the cost objective function according to the first constraint condition and the second constraint condition to obtain the parameter value of the configuration parameter.

[0256] In one embodiment, the computer program, when executed by the processor, further implements the following steps:

[0257] The energy balance constraint condition in the second constraint condition is constructed according to the first electric energy output, the second electric energy output, the new energy expected electric energy output, the charging power and the discharging power of the composite power station, and the abandoned wind and light amount of the new energy; the traditional energy constraint condition in the second constraint condition is constructed according to the second electric energy output and the unit parameter of the traditional energy unit; and the model constraint condition in the second constraint condition is constructed according to the first electric energy output, the second electric energy output, the unit parameter of the traditional energy unit, the unit parameter of the new energy unit, the energy storage unit parameter, and the regional capacity characteristics of the composite power station.

[0258] In one embodiment, the computer program, when executed by the processor, further implements the following steps:

[0259] The energy production and consumption matching degree of the new energy unit in the composite power station is determined according to the parameter value; the accuracy of the parameter value is evaluated according to the energy production and consumption matching degree; and if the evaluation is passed, the composite power station is configured based on the parameter value.

[0260] In one embodiment, the computer program, when executed by the processor, further implements the following steps:

[0261] determine a new energy power output of the composite power station based on the parameter values; and determine an energy production and consumption matching degree of the new energy unit in the composite power station according to the new energy power output and a total output power of the composite power station.

[0262] In one embodiment, a computer program product is provided, comprising a computer program which, when executed by a processor, implements the following steps:

[0263] constructing an operation model of the composite power station according to the first power output of the new energy unit, the second power output of the traditional energy unit, and a total expected power output and a new energy expected power output of the composite power station to be configured; wherein the operation model comprises at least one of a power station total capacity model, a power station power output expected deviation model, a power station power output fluctuation model, a new energy power output consumption model, and a power station power output sending rate model;

[0264] constructing a cost objective function of the composite power station according to a construction cost and a use cost of the composite power station; the configuration parameters of the composite power station are contained in the operation model and the cost objective function, and the configuration parameters at least comprise a quantity parameter of the new energy unit and a quantity parameter of the traditional energy unit in the composite power station;

[0265] solving the cost objective function with the operation model as a first constraint condition to obtain parameter values of the configuration parameters.

[0266] In one embodiment, the computer program, when executed by the processor, further implements the following steps:

[0267] constructing a power station total capacity model of the composite power station according to the configuration parameters of the composite power station to be configured, the first power output of the new energy unit, the second power output of the traditional energy unit, and a charging power and a discharging power of the composite power station; constructing a power station power output expected deviation model of the composite power station according to the power station total capacity model, a total expected power output and a power output deviation factor of the composite power station; constructing a power station power output fluctuation model of the composite power station according to the power station total capacity model and a fluctuation capacity factor; constructing a new energy power output consumption model of the composite power station according to the configuration parameters, a power output period, a new energy expected power output of the composite power station, the first power output of the new energy unit, and a new energy utilization rate; and constructing a power station power output sending rate model of the composite power station according to the power station total capacity model, determining a sending power output and a domestic selling power output of the composite power station, and constructing the power station power output sending rate model according to the sending power output, the domestic selling power output, the power output period, and a sending factor.

[0268] In one embodiment, the computer program, when executed by the processor, further implements the following steps:

[0269] constructing a second constraint condition of the cost objective function; the second constraint condition comprises at least one of an energy balance constraint condition, a system power flow constraint condition, a traditional energy constraint condition, and a model constraint condition; and solving the cost objective function with the running model as the first constraint condition to obtain the parameter value of the configuration parameter.

[0270] In one embodiment, the computer program, when executed by the processor, further implements the following steps:

[0271] constructing an energy balance constraint condition in the second constraint condition according to the first electric energy output, the second electric energy output, the expected electric energy output of the new energy, the charging power and the discharging power of the composite power station, and the abandoned wind and light amount of the new energy; constructing a traditional energy constraint condition in the second constraint condition according to the second electric energy output and the unit parameter of the traditional energy unit; and constructing a model constraint condition in the second constraint condition according to the first electric energy output, the second electric energy output, the unit parameter of the traditional energy unit, the unit parameter of the new energy unit, the energy storage unit parameter, and the regional energy production characteristics of the composite power station.

[0272] In one embodiment, the computer program, when executed by the processor, further implements the following steps:

[0273] determining the energy production and consumption matching degree of the new energy unit in the composite power station according to the parameter value; performing accuracy evaluation on the parameter value according to the energy production and consumption matching degree; and configuring the composite power station based on the parameter value if the evaluation is passed.

[0274] In one embodiment, the computer program, when executed by the processor, further implements the following steps:

[0275] determining the new energy electric energy output of the composite power station configured based on the parameter value; and determining the energy production and consumption matching degree of the new energy unit in the composite power station according to the new energy electric energy output and the total output electric energy of the composite power station.

[0276] It should be noted that the composite power station information (such as the new energy unit production capacity, the traditional energy unit production capacity, and the local electric energy consumption) involved in the present application is all information and data authorized by the user or fully authorized by all parties.

[0277] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a non-volatile computer readable storage medium, and when the computer program is executed, the processes of the above-mentioned embodiments of the methods can be included. Any reference to memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical storage, high-density embedded non-volatile memory, resistive memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration but not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc. The database involved in the embodiments provided in the present application can include at least one of a relational database and a non-relational database. The non-relational database can include a distributed database based on a block chain, etc., without being limited thereto. The processor involved in the embodiments provided in the present application can be a general-purpose processor, a central processing unit, a graphics processing unit, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., without being limited thereto.

[0278] Any combination of the technical features of the above embodiments can be made. In order to make the description simple, all possible combinations of the technical features in the above embodiments are not described, however, as long as the combination of the technical features does not exist, it should be considered as the scope of the present application.

[0279] The above embodiments only express several implementation manners of the present application, and the description is more specific and detailed, but it should not be understood as a limitation on the scope of the patent of the present application. It should be pointed out that for ordinary skilled in the art, without departing from the concept of the present application, a number of modifications and improvements can be made, which are all within the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the appended claims.

Claims

1. A method of parameter configuration of a composite power station, characterized by, The method comprises: According to the first electric energy output of the new energy unit, the second electric energy output of the traditional energy unit, and the total expected electric energy output and the new energy expected electric energy output of the to-be-configured composite power station, an operation model of the composite power station is constructed; wherein the operation model comprises at least one of a power station total capacity model, a power station capacity expected deviation model, a power station capacity fluctuation model, a new energy capacity consumption model and a power station capacity sending rate model; the power station total capacity model is a model representing the sum of the capacities of the new energy unit and the traditional energy unit in the composite power station; the power station capacity expected deviation model is a model representing the relationship between the actual capacity and the planned capacity of the composite power station; the new energy capacity consumption model is a model representing the relationship between the new energy unit predicted capacity and the new energy minimum comprehensive utilization; and the power station capacity sending rate model is a model representing the relationship between the sending capacity, the local consumption capacity, the minimum use rate of the sending channel and the upper limit of the sending capacity; According to the construction cost and the use cost of the composite power station, a cost objective function of the composite power station is constructed; the configuration parameters of the composite power station are contained in the operation model and the cost objective function, and the configuration parameters at least comprise the number parameters of the new energy unit and the number parameters of the traditional energy unit in the composite power station; According to the first electric energy output, the second electric energy output, the new energy expected electric energy output, the charge power and the discharge power of the composite power station, and the abandoned wind and light amount of new energy, an energy balance constraint condition is constructed; According to the second electric energy output and the unit parameters of the traditional energy unit, a traditional energy constraint condition is constructed; According to the first electric energy output, the second electric energy output, the unit parameters of the traditional energy unit, the unit parameters of the new energy unit, the energy storage unit parameters, and the regional capacity characteristics of the composite power station, a model constraint condition is constructed; wherein the regional capacity characteristics comprise the minimum requirement and the maximum requirement of the regional wind and light capacity configuration ratio, the installed capacity of regional wind power, the installed capacity of regional photovoltaic, the abandoned wind / light amount of the new energy unit in the composite power station, and the average capacity rate of regional wind / light; The operation model is taken as a first constraint condition, and the cost objective function is solved according to the first constraint condition and a second constraint condition, to obtain the parameter values of the configuration parameters; wherein the second constraint condition comprises the energy balance constraint condition, the system power flow constraint condition, the traditional energy constraint condition and the model constraint condition.

2. The method of claim 1, wherein, The operation model of the composite power station is constructed according to the first electric energy output of the new energy unit, the second electric energy output of the traditional energy unit, and the total expected electric energy output and the new energy expected electric energy output of the to-be-configured composite power station, and comprises at least one of: According to the configuration parameters of the to-be-configured composite power station, the first electric energy output of the new energy unit, the second electric energy output of the traditional energy unit, and the charge power and the discharge power of the composite power station, a power station total capacity model of the composite power station is constructed; constructing a power plant capacity fluctuation model of the composite power plant according to the power plant total capacity model and a fluctuation capacity factor; constructing a power plant capacity fluctuation model of the composite power plant according to the power plant total capacity model and a fluctuation capacity factor; constructing a new energy capacity consumption model of the composite power plant according to the configuration parameter, the capacity period, the new energy expected power output of the composite power plant, the first power output of the new energy unit and a new energy utilization rate; constructing a power plant capacity fluctuation model of the composite power plant according to the power plant total capacity model and a fluctuation capacity factor; 3. The method according to any one of claims 1-2, characterized in that, The method further comprises: determining an energy production and consumption matching degree of the new energy unit in the composite power plant according to the parameter value; performing accuracy evaluation on the parameter value according to the energy production and consumption matching degree; if the evaluation passes, configuring the composite power plant based on the parameter value.

4. The method of claim 3, wherein, The method further comprises: determining an energy production and consumption matching degree of the new energy unit in the composite power plant according to the parameter value; determining an energy production and consumption matching degree of the new energy unit in the composite power plant according to the new energy power output and the total output power of the composite power plant.

5. The method of claim 1, wherein, The unit parameters of the traditional energy unit include start-stop state, maximum capacity, working capacity, minimum working capacity ratio, start capacity, stop capacity, maximum up-climbing capacity ratio and maximum down-climbing capacity ratio of thermal power.

6. The method of claim 1, wherein, The unit parameters of the new energy unit include configuration capacity, minimum capacity ratio, up interval and down interval of capacity fluctuation.

7. An apparatus for optimal configuration of a composite power plant, characterized by The device comprises: A model establishing module is configured to construct an operation model of the composite power plant according to the first power output of the new energy unit, the second power output of the traditional energy unit, the total expected power output and the new energy expected power output of the composite power plant to be configured; wherein the operation model comprises at least one of a power plant total capacity model, a power plant capacity expected deviation model, a power plant capacity fluctuation model, a new energy capacity consumption model and a power plant capacity outward transmission rate model; the power plant total capacity model is a model representing the sum of the capacity of the new energy unit and the traditional energy unit in the composite power plant; the power plant capacity expected deviation model is a model representing the relationship between the actual capacity and the planned capacity of the composite power plant; the new energy capacity consumption model is a model representing the relationship between the new energy unit predicted capacity and the new energy minimum comprehensive utilization; and the power plant capacity outward transmission rate model is a model representing the relationship between the outward transmission capacity, the local consumption capacity, the minimum utilization rate of the outward transmission channel and the upper limit of the outward transmission capacity. a function construction module, configured to construct a cost objective function of the composite power station according to construction cost and use cost of the composite power station; the configuration parameters of the composite power station are contained in the operation model and the cost objective function, and the configuration parameters at least include quantity parameters of new energy units and quantity parameters of traditional energy units in the composite power station; a constraint construction module, configured to construct an energy balance constraint condition according to the first electric energy output, the second electric energy output, the new energy expected electric energy output, charging power and discharging power of the composite power station, and wind and light abandoned quantity of new energy; construct a traditional energy constraint condition according to the second electric energy output and unit parameters of the traditional energy units; construct a model constraint condition according to the first electric energy output, the second electric energy output, unit parameters of the traditional energy units, unit parameters of the new energy units, energy storage unit parameters, and regional energy production characteristics of the composite power station; the regional energy production characteristics include minimum requirement and maximum requirement of regional wind and light capacity configuration ratio, installed capacity of regional wind power, installed capacity of regional photovoltaic, wind and light abandoned quantity of the new energy units in the composite power station, and average energy production rate of regional wind and light; a function solution module, configured to take the operation model as a first constraint condition, and solve the cost objective function according to the first constraint condition and a second constraint condition, to obtain parameter values of the configuration parameters; the second constraint condition includes the energy balance constraint condition, system power flow constraint condition, the traditional energy constraint condition and the model constraint condition.

8. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that, The processor executes the computer program to realize the steps of the method in any one of claims 1 to 6.

9. A computer readable storage medium having stored thereon a computer program, characterized in that, The computer program is executed by the processor to realize the steps of the method in any one of claims 1 to 6.

10. A computer program product comprising a computer program, characterized in that, The computer program is executed by the processor to realize the steps of the method in any one of claims 1 to 6. The computer program is executed by the processor to realize the steps of the method in any one of claims 1 to 6.

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