Control model construction method considering access of electric vehicle to energy station

Abstract

The invention discloses a control model construction method considering access of an electric vehicle to an energy station, and relates to the field of comprehensive energy systems, and the method comprises the steps: distributing carbon emission corresponding to the loss of energy conversion equipment to the energy station, and carrying out the energy conversion process considering the carbon loss, respectively establishing carbon flow models of a single-input-single-output energy conversion device, a single-input-multi-output energy conversion device, centralized new energy output equipment and electric vehicle type electric energy storage equipment considering carbon loss; and by means of accurately quantifying the carbon footprint, optimizing the energy conversion efficiency, enhancing the system flexibility and the like, the green and low-carbon development of the energy station is promoted. The technical scheme provided by the invention has the remarkable beneficial effects of improving the carbon emission management level of the energy station, optimizing the energy conversion efficiency, enhancing the system flexibility, promoting the green and low-carbon development and the like.

Description

Technical Field

[0001] The present invention relates to the technical field of integrated energy systems, and in particular to a control model construction method considering electric vehicles accessing an energy station. Background Art

[0002] With the increasing global awareness of environmental protection and the promotion of the concept of sustainable development, reducing greenhouse gas emissions, especially carbon dioxide emissions, has become a focus of international attention. In the energy field, the popularization of electric vehicles (EVs) is regarded as one of the important means to reduce carbon emissions in the transportation field. At the same time, as a key node for the conversion and distribution of multiple energy sources, energy stations play an increasingly prominent role in promoting the efficient use of renewable energy and reducing the overall carbon emissions of the system.

[0003] However, traditional energy station models often only focus on the efficiency of energy conversion and distribution, ignoring the carbon emissions associated with the energy conversion process. In particular, after electric vehicle-type energy storage devices (such as electric vehicle batteries) are connected to energy stations, the charging and discharging process not only involves the flow of energy, but also implies the transfer and impact of carbon emissions. In addition, with the large-scale grid connection of centralized new energy sources (such as solar energy and wind energy), the input energy structure of energy stations has become more diversified. The output of these new energy sources is intermittent and uncertain, which further increases the complexity of carbon emission management during energy conversion.

[0004] Existing energy station models usually take simplified approaches when dealing with carbon emissions, such as treating the carbon emissions of energy conversion equipment as fixed values ​​or only considering its direct emissions, while ignoring the carbon losses in the energy conversion process (such as indirect carbon emissions caused by energy conversion efficiency losses). In addition, for the access of electric vehicle-type energy storage equipment and centralized new energy output equipment, existing models often fail to fully consider their impact on the overall carbon emission flow of the energy station, as well as the carbon emission coupling relationship between them and energy conversion equipment.

[0005] Therefore, in order to more accurately evaluate and manage the carbon emissions of energy stations, a new carbon hub model is needed that can comprehensively consider the access of electric vehicle-type energy storage devices, centralized new energy output, and carbon loss during energy conversion. The model should be able to accurately describe the flow of carbon emissions during energy conversion, analyze the relationship between carbon emission flow rates within energy stations, and effectively guide the formulation of carbon emission management strategies for energy stations. Summary of the invention

[0006] In response to the problems existing in the above-mentioned prior art, the present invention provides a control model construction method considering the access of electric vehicles to energy stations, which can accurately describe the carbon emission flow in the energy conversion process, analyze the relationship between the carbon emission flow rates within the energy station, and effectively guide the formulation of carbon emission management strategies for energy stations.

[0007] In order to achieve the above-mentioned purpose, the present invention adopts a control model construction method considering electric vehicles accessing energy stations, comprising:

[0008] Step 1: Allocate the carbon emissions corresponding to the energy conversion equipment losses to the energy stations, consider the energy conversion process with carbon losses, and establish carbon flow models for single-input-single-output energy conversion devices, single-input-multiple-output energy conversion devices, centralized new energy output equipment, and electric vehicle-type energy storage equipment considering carbon losses;

[0009] The carbon flow model of the single-input-single-output energy conversion device considering carbon loss is:

[0010] e 1,out =e 1,in

[0011] In the formula, e 1,in and e 1,out are the nodal carbon potentials at the input and output ports of the single-input-single-output energy conversion device, respectively;

[0012] The carbon flow model of the single-input-multiple-output energy conversion device considering carbon loss is:

[0013]

[0014] In the formula, e 2,in is the node carbon potential of the input port of the single-input-multiple-output energy conversion device, e 2,out_e and e 2,out_h are the electrical and thermal node carbon potentials at the output port, respectively; and They are the electricity conversion and heat conversion efficiencies of the single-input-multiple-output energy conversion device, respectively;

[0015] The carbon flow model of the centralized new energy output equipment considering carbon loss is:

[0016] e 3,out =0

[0017] In the formula, e 3,out The node carbon potential of the output port of the centralized new energy output equipment;

[0018] The carbon flow model of electric vehicle-type energy storage equipment considering carbon loss is:

[0019] When the energy storage device is in a charging state as a whole at time t, the charging power of the energy storage device is greater than the discharging power at time t:

[0020]

[0021] In the formula, is the carbon potential at the input port of the energy storage device at time t, which is the carbon potential at the output port of the energy station

[0022] When the energy storage device is in a charging state as a whole at time t, the charging power of the energy storage device is greater than the discharging power at time t:

[0023]

[0024] In the formula, is the carbon potential at the output port of the energy storage device at time t, that is, the discharge carbon potential of the energy storage device at time t

[0025] Step 2: Based on the carbon flow model of energy conversion devices, centralized new energy output equipment and electric vehicle-type energy storage equipment that considers carbon loss, define the carbon potential conversion efficiency of energy conversion devices to describe the carbon potential relationship between input and output ports, and establish a carbon hub model that considers carbon flow loss of energy stations;

[0026] Step 3: Considering the case where centralized new energy output equipment and electric vehicle-type energy storage equipment are connected to the energy station, analyze the relationship between the carbon emission flow rates within the energy station, define the carbon emission flow rate conversion efficiency of the energy conversion device to describe the relationship between the input and output carbon flow rates, and establish a carbon flow rate coupling matrix.

[0027] As a further optimization of the above scheme, the carbon potential conversion efficiency of the energy conversion device in the second step is:

[0028]

[0029] In the formula, e 2,in is the node carbon potential of the input port of the single-input-multiple-output energy conversion device, e 2,out_e and e 2,out_h are the carbon potentials of the electrical and thermal nodes at the output port, respectively, and μ1 is the carbon potential conversion efficiency of the single-input-single-output energy conversion device; and They are the carbon potential conversion efficiency of single-input-multiple-output energy conversion devices for electricity and heat respectively; μ3 is the carbon potential conversion efficiency of centralized new energy output equipment.

[0030] As a further optimization of the above scheme, the carbon hub model considering the carbon flow loss of the energy station in the second step is:

[0031]

[0032] In the formula, and The electric power and gas power are input to the energy station respectively. and They are the electrical load power and thermal load power of the energy station respectively; and Input the carbon potential of the power node and the carbon potential of the natural gas node for the energy station respectively. and are the carbon potential of the power output node and the thermal node of the energy station respectively; f represents the carbon flow conversion coefficient of the energy station.

[0033] As a further optimization of the above scheme, in the third step, considering the centralized new energy output equipment connected to the energy station, the carbon flow rate coupling matrix is:

[0034] L load ·E out =F·P in ·E in

[0035] In the formula, P in and L load are the input active power vector and the energy station load vector, E in and E out are the input and output carbon potential vectors respectively, and F is the carbon flow rate coupling matrix of the energy station.

[0036] A control model construction method considering electric vehicles accessing energy stations of the present invention has the following beneficial effects:

[0037] 1. By allocating the carbon emissions corresponding to the energy conversion equipment losses to the energy station and considering the energy conversion process of carbon loss, the present invention can establish a more accurate carbon flow model for single-input-single-output, single-input-multiple-output energy conversion devices, centralized new energy output equipment, and electric vehicle-type energy storage equipment. This improvement enables the carbon emissions of energy stations during operation to be more accurately tracked and quantified, which helps to achieve more accurate carbon emission management and emission reduction strategies.

[0038] 2. By defining the carbon potential conversion efficiency of the energy conversion device to describe the carbon potential relationship of the input and output ports, and constructing a carbon hub model that takes into account the carbon flow loss of the energy station, the present invention provides a more scientific basis for evaluation and optimization of the energy conversion process in the energy station. This helps the energy station improve the energy conversion efficiency, reduce unnecessary carbon emissions, and thus promote the sustainable development of energy utilization.

[0039] 3. Considering the access of centralized new energy output equipment and electric vehicle-type energy storage equipment to the energy station, the present invention defines the carbon emission flow rate conversion efficiency of the energy conversion device by analyzing the relationship between the carbon emission flow rates within the energy station, and establishes a carbon flow rate coupling matrix. This innovation not only improves the energy station's ability to accept new energy and electric vehicle-type energy storage equipment, but also enhances the flexibility and adaptability of the system, enabling the energy station to better cope with energy demand and carbon emission challenges in different scenarios.

[0040] In summary, the technical solution of the present invention helps to promote the green and low-carbon development of energy stations by accurately quantifying carbon footprints, optimizing energy conversion efficiency, and enhancing system flexibility. This is not only in line with the general trend of global response to climate change and reduction of greenhouse gas emissions, but also provides strong technical support for achieving the goals of "carbon peak and carbon neutrality". Therefore, the technical solution of the present invention has shown significant beneficial effects in improving the carbon emission management level of energy stations, optimizing energy conversion efficiency, enhancing system flexibility, and promoting green and low-carbon development.

[0041] With reference to the following description and drawings, a specific embodiment of the present invention is disclosed in detail, indicating the manner in which the principles of the present invention can be adopted. It should be understood that the scope of the embodiments of the present invention is not limited thereby, and within the spirit and scope of the appended claims, the embodiments of the present invention include many changes, modifications and equivalents. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 It is a schematic diagram of an energy station without centralized new energy access according to the present invention;

[0043] Figure 2 A schematic diagram of an energy station including centralized new energy access according to the present invention;

[0044] Figure 3 A schematic diagram of an energy station including centralized new energy access and electric vehicle-type energy storage device access of the present invention;

[0045] Figure 4 A schematic diagram of the energy-carbon flow relationship of a single-input-single-output device of the present invention;

[0046] Figure 5 It is a schematic diagram of the energy-carbon flow relationship of the single-input-multiple-output device of the present invention. DETAILED DESCRIPTION

[0047] Please refer to the instruction manual Figures 1 to 5 The present invention provides a technical solution: a control model construction method considering electric vehicles accessing energy stations, comprising:

[0048] S1. Energy hub model construction

[0049] Typical energy station structure Figure 1 As shown in Figure 1, if the energy hub model is used for construction, the matrix and vector mathematical expressions in the energy hub model can represent the conversion and storage process between different energy sources. The energy hub model consists of three parts: input (supply) vector P in , conversion matrix C and output (load) vector L load , the relationship is shown in formula (1):

[0050] L load =CP in (1)

[0051] by Figure 1 Taking the typical energy station shown in the figure as an example, its energy hub model is expressed as shown in formula (2):

[0052]

[0053] In the formula, and The electric power and gas power are input to the energy station respectively. and are the electrical load power and thermal load power of the energy station respectively; η 1,T is the conversion efficiency of the transformer (T), η 1,GB is the conversion efficiency of the gas boiler (GB), and are the gas-to-electricity and gas-to-heat conversion efficiencies of combined heat and power (CHP) respectively; a is the natural gas distribution coefficient of CHP.

[0054] With the increasing pressure of global environmental protection and the decrease of the cost of new energy construction, the penetration rate of various types of new energy, whether centralized or distributed, has increased significantly. Therefore, considering the centralized new energy access energy station Figure 2 As shown, at this time, the input matrix P of formula (2) needs to be in Correction is performed as shown in formula (3):

[0055]

[0056] In the formula, It is the extended input power of the concentrated photovoltaic (PV) generator.

[0057] Unlike other energy devices, electric energy storage devices such as electric vehicles have bidirectional energy flow characteristics. Therefore, they can be placed at the input end of DES, which is equivalent to the expansion of vector P, and can also be placed at the output end of DES, which is equivalent to the expansion of vector L. Taking the basic formula of energy hub as an example, the expansion model of energy storage placed at the load end can be expressed as:

[0058] (Lload+Ls)=C(Pin+PPV) (4)

[0059] Ls=Pch-Pdch (5)

[0060] Among them, Ls is the power expansion matrix of energy storage access; Pch is the energy storage matrix of energy storage, and Pdch is the energy release matrix of energy storage.

[0061] Based on this, we can get the following energy hub expansion model with two factors, namely, adding electric vehicles and other energy storage devices and energy supply equipment, and not considering the energy station returning to the grid:

[0062] [Lload+(Pch-Pdch)]=C(Pin+PPV) (6)

[0063] When the electric energy storage device is in a charging state as a whole at time t, the charging power of the electric energy storage device is greater than the discharging power at time t, and the energy hub expansion model is shown in formula (7):

[0064]

[0065] When the energy storage device is in a discharging state as a whole at time t, the discharge power of the energy storage device is greater than the charging power at time t, and the energy hub expansion model is shown in formula (8):

[0066]

[0067] in, and are the charging power and discharging power of the energy storage at time t respectively.

[0068] S2. Construction of carbon flow model for energy conversion device

[0069] In the process of calculating carbon flow management of integrated energy systems, the core goal is to achieve effective control of carbon flow rates in electricity, natural gas and heat networks and carbon potential at each node. CO2 emissions in the distribution network mainly come from their sources, and these emissions need to be reasonably allocated to each load point; for the gas distribution network, it is assumed that CO2 emissions mainly occur on the load side and are also allocated; the treatment of CO2 emissions in the regional heat network is similar to that of the distribution network.

[0070] The energy station is not only a coupling node between different energy networks, but also has the dual identities of "source" and "load". However, since the energy station involves the conversion and distribution of multiple energy sources, its internal carbon flow rules are extremely complex and difficult to simply summarize. The present invention explicitly allocates the (virtual) carbon emission flow rate corresponding to the losses generated by the energy conversion equipment during operation to the energy station, thereby more clearly defining the energy station's responsibility for carbon emissions. This approach not only helps to improve the accuracy and efficiency of carbon flow management in the integrated energy system, but also provides strong support for the subsequent formulation of more scientific and reasonable carbon emission reduction strategies.

[0071] In order to analyze the carbon flow law in the energy conversion process, it is first necessary to establish the carbon flow model of the main energy conversion devices in the energy station. They can be mainly divided into two types: single-input-single-output conversion devices, such as power transformers and gas boilers, and single-input-multiple-output conversion devices, such as cogeneration units. In addition, centralized new energy output equipment and electric energy storage equipment are considered.

[0072] (1) Single-input-single-output conversion device

[0073] Taking a gas boiler as an example, for this type of energy conversion device, all carbon emissions related to the input energy should be allocated to the output energy and the conversion device itself. The relationship between the carbon flow rate of the input port and the output port is shown in formula (9):

[0074]

[0075] Right now:

[0076]

[0077] In the formula, R 1,in , R 1,out and They are the input carbon flow rate, output carbon flow rate and carbon flow rate loss of the gas boiler (tCO2 / h); and are the node carbon potentials of the gas boiler input and output ports (tCO2 / kWh); P 1,in , P 1,out and P 1,loss They are the active power at the input port, active power at the output port and active power loss (MW) of the gas boiler.

[0078] The conversion efficiency of the single-input-single-output conversion device (the conversion efficiency of the gas boiler is η GB ), that is, the energy output is in a certain proportion to the energy input, as shown in formula (11):

[0079] P 1,out =η GB ·P 1,in (11)

[0080] Combining formulas (10) and (11), the carbon flow model of the gas boiler can be obtained as shown in formula (12):

[0081]

[0082] Referring to the definition of energy conversion efficiency η, the carbon potential conversion efficiency μ of the energy conversion device can be defined to characterize the carbon potential relationship between the input and output ports of the energy conversion device. From formula (12), it can be seen that the carbon potential conversion efficiency μ of the gas boiler is GB=1. Figure 3 Taking a gas boiler as an example, the energy-carbon flow relationship of a single-input-single-output device is described.

[0083] Similarly, the carbon flow models of the other two single-input-single-output conversion devices, electric boilers and power transformers, are shown in formula (13):

[0084]

[0085] In the formula, μ EB and μ T are the carbon potential conversion efficiency of electric boilers and power transformers respectively; and are the nodal carbon potentials at the input ports of the electric boiler and the power transformer, respectively; and They are the node carbon potentials of the output ports of the electric boiler and the power transformer, respectively.

[0086] (2) Single-input-multiple-output conversion device

[0087] Taking the combined heat and power unit as an example, the carbon emission balance law still holds true. The carbon flow rate at the input port is equal to the sum of the carbon flow rate at the output port and the carbon flow rate loss of the conversion device, as shown in formula (15):

[0088]

[0089] Right now:

[0090]

[0091] In the formula, R 2,in , and They are the input carbon flow rate, output electric carbon flow rate, thermal carbon flow rate and carbon flow rate loss (tCO2 / h) of the cogeneration unit; and are the node carbon potentials (tCO2 / kWh) of the input and output electricity and output heat ports of the cogeneration unit respectively; P 2,in , and P 2,loss They are the active power at the input port, output electricity, active power at the output heat port and active power loss (MW) of the CHP unit.

[0092] Unlike single-output conversion devices, in multi-output conversion devices, all carbon emissions related to input energy should be allocated to various output energies according to certain rules after allocating the corresponding carbon emissions of the energy conversion device. There is no unique method for allocating carbon emissions between multi-output energy conversion devices. Here, an allocation method based on energy conversion efficiency is adopted, that is, it is assumed that the carbon potential of the power output port and the heat output port is proportional to the corresponding energy conversion efficiency, as shown in formula (17):

[0093]

[0094] The conversion efficiency of the single-input-multiple-output conversion device (the electrical and thermal conversion efficiencies of the cogeneration unit are and ), as shown in formulas (18) and (19):

[0095]

[0096] Combining equations (16) to (19), the carbon flow model of the cogeneration unit can be obtained as shown in equation (20).

[0097] Taking a combined heat and power unit as an example, the energy-carbon flow relationship of a single-input-multiple-output device is described.

[0098]

[0099] In the formula, and are the gas-to-electricity and gas-to-heat carbon potential conversion efficiencies of the cogeneration unit, respectively; is the node carbon potential of the input port of the CHP unit; and They are the node carbon potentials of the output electricity / heat ports of the cogeneration unit respectively.

[0100] (3) Centralized new energy output equipment

[0101] Taking photovoltaic as an example, the way to connect centralized photovoltaic to energy station is as follows: Figure 2 Obviously, photovoltaic is a zero-carbon "green electricity" output device, its output carbon flow rate is zero, and the output port carbon potential is zero, as shown in formulas (21) and (22):

[0102]

[0103] At this point, the carbon potential conversion efficiency of photovoltaics can be defined as zero, which means it is a zero-carbon power generation device:

[0104] μ PV =0 (23)

[0105] (4) Electrical energy storage equipment

[0106] Taking electric vehicles as an example, the way to connect electric energy storage devices to energy stations is as follows: Figure 3 Obviously, the carbon flow rate and port carbon potential of the electric energy storage device are related to its charging and discharging state, as shown below:

[0107] When the energy storage device is in a charging state as a whole at time t, the charging power of the energy storage device is greater than the discharging power at time t:

[0108]

[0109] In the formula, is the carbon flow rate input to the electric energy storage device at time t, is the carbon potential at the input port of the energy storage device at time t, which is the carbon potential at the output port of the energy station

[0110] When the energy storage device is in a charging state as a whole at time t, the charging power of the energy storage device is greater than the discharging power at time t:

[0111]

[0112] In the formula, is the carbon flow rate output by the electric energy storage device at time t, is the carbon potential at the output port of the energy storage device at time t, that is, the discharge carbon potential of the energy storage device at time t

[0113] S3, Carbon Hub Model

[0114] It can be deduced from the above step 2 that the input-output carbon flow rate relationship of the single-input-single-output conversion device and the single-input-multiple-output conversion device described in this embodiment is related to both the energy conversion efficiency η and the carbon potential conversion efficiency μ. Therefore, the present invention defines the carbon emission flow rate conversion efficiency ω of the energy conversion device, and its size can be given by the product of η and μ, which represents the input-output carbon flow rate relationship of the energy conversion device:

[0115] ω=η·μ (28)

[0116] Referring to the definition of the energy hub model, in order to describe the relationship between the carbon potential of the input and output ports of the energy station, the carbon flow rate coupling matrix F and the conversion relationship are defined as follows:

[0117] L load ·E out =F·P in ·E in (29)

[0118] In the formula, E in is the input carbon potential vector, E out is the output carbon potential vector.

[0119] by Figure 1 Taking the energy station shown in the figure as an example, the corresponding carbon hub matrix model considering carbon loss is as follows:

[0120]

[0121] in:

[0122]

[0123] In the formula, ω 1,T ,ω 1,GB , and They represent the carbon emission flow rate conversion efficiency of power transformers, gas boilers and cogeneration units in converting electricity and heat respectively.

[0124] When considering Figure 2 When the energy station shown in the figure is used, it is necessary to study the impact of the centralized new energy access to the energy station on the carbon hub matrix model. Due to the access of photovoltaics, the amount of electricity purchased by the energy station from the upper distribution network is reduced accordingly, but since the downstream load remains unchanged, the total amount of electricity input to the power transformer remains unchanged. Therefore, the role of photovoltaics is to reduce the amount of electricity purchased by the energy station without affecting the matrix model form described in formula (29).

[0125] When considering Figure 3 When the energy station shown in the figure is constructed, it is necessary to study the impact of electric energy storage devices such as electric vehicles on the carbon hub matrix model. According to the specific charging and discharging state of the overall electric energy storage device at a certain moment, the carbon hub matrix model is discussed as follows.

[0126] When the electric energy storage device is in a charging state as a whole at time t, the charging power of the electric energy storage device is greater than the discharging power at time t, and the carbon hub matrix model is shown in formula (32):

[0127]

[0128] When the electric energy storage device is in a discharging state as a whole at time t, the discharge power of the electric energy storage device is greater than the charging power at time t, and the carbon hub matrix model is shown in formula (33):

[0129]

[0130] In summary, a control model construction method considering electric vehicles accessing an energy station in the present invention specifically includes:

[0131] 1) Allocate the carbon emissions corresponding to the energy conversion equipment losses to the energy stations, consider the energy conversion process with carbon losses, and establish carbon flow models for single-input-single-output energy conversion devices, single-input-multiple-output energy conversion devices, centralized new energy output equipment, and electric vehicle-type energy storage equipment considering carbon losses;

[0132] 2) Based on the carbon flow model of energy conversion devices, centralized new energy output equipment and electric vehicle-type energy storage equipment that considers carbon loss, define the carbon potential conversion efficiency of energy conversion devices to describe the carbon potential relationship between input and output ports, and establish a carbon hub model that considers carbon flow loss of energy stations;

[0133] 3) Considering the case where centralized new energy output equipment and electric vehicle-type energy storage equipment are connected to the energy station, the relationship between the carbon emission flow rates within the energy station is analyzed, the carbon emission flow rate conversion efficiency of the energy conversion device is defined to describe the relationship between the input and output carbon flow rates, and the carbon flow rate coupling matrix is ​​established.

[0134] Further, among others:

[0135] The carbon flow model of the single-input-single-output energy conversion device considering carbon loss is:

[0136] e 1,out =e 1,in

[0137] In the formula, e 1,in and e 1,out are the nodal carbon potentials at the input and output ports of the single-input-single-output energy conversion device, respectively;

[0138] The carbon flow model of the single-input-multiple-output energy conversion device considering carbon loss is:

[0139]

[0140] In the formula, e 2,in is the node carbon potential of the input port of the single-input-multiple-output energy conversion device, e 2,out_e and e 2,out_h are the electrical and thermal node carbon potentials at the output port, respectively; and They are the electricity conversion and heat conversion efficiencies of the single-input-multiple-output energy conversion device, respectively;

[0141] The carbon flow model of the centralized new energy output equipment considering carbon loss is:

[0142] e 3,out =0

[0143] In the formula, e 3,out It is the node carbon potential of the output port of centralized new energy output equipment.

[0144] The carbon flow model of electric vehicle-type energy storage equipment considering carbon loss is:

[0145] When the energy storage device is in a charging state as a whole at time t, the charging power of the energy storage device is greater than the discharging power at time t:

[0146]

[0147] In the formula, is the carbon potential at the input port of the energy storage device at time t, which is the carbon potential at the output port of the energy station

[0148] When the energy storage device is in a charging state as a whole at time t, the charging power of the energy storage device is greater than the discharging power at time t:

[0149]

[0150] In the formula, is the carbon potential at the output port of the energy storage device at time t, that is, the discharge carbon potential of the energy storage device at time t

[0151] Further, among others:

[0152] The carbon potential conversion efficiency of the energy conversion device is:

[0153]

[0154] In the formula, e 2,in is the node carbon potential of the input port of the single-input-multiple-output energy conversion device, e 2,ou t _e and e 2,out_h are the carbon potentials of the electrical and thermal nodes at the output port, respectively, and μ1 is the carbon potential conversion efficiency of the single-input-single-output energy conversion device; and They are the carbon potential conversion efficiency of single-input-multiple-output energy conversion devices for electricity and heat, respectively; μ3 is the carbon potential conversion efficiency of centralized new energy output equipment;

[0155] The carbon hub model considering the carbon flow loss of the energy station is:

[0156]

[0157] In the formula, and The electric power and gas power are input to the energy station respectively. and They are the electrical load power and thermal load power of the energy station respectively; and Input the carbon potential of the power node and the carbon potential of the natural gas node for the energy station respectively. and are the carbon potential of the power output node and the thermal node of the energy station respectively; f represents the carbon flow conversion coefficient of the energy station.

[0158] Further, among others:

[0159] When the centralized new energy output equipment is connected to the energy station, the carbon flow rate coupling matrix is:

[0160] L load ·E out =F·P in ·E in

[0161] Where P in and L load are the input active power vector and the energy station load vector, E in and E out are the input and output carbon potential vectors respectively, and F is the carbon flow rate coupling matrix of the energy station.

Claims

1. A control model construction method considering electric vehicles accessing energy stations, characterized in that: include: Step 1: Allocate the carbon emissions corresponding to the energy conversion equipment losses to the energy stations, consider the energy conversion process with carbon losses, and establish carbon flow models for single-input-single-output energy conversion devices, single-input-multiple-output energy conversion devices, centralized new energy output equipment, and electric vehicle-type energy storage equipment considering carbon losses; The carbon flow model of the single-input-single-output energy conversion device considering carbon loss is: And 1,out =and 1,in In the formula, e 1,in and e 1,out are the nodal carbon potentials at the input and output ports of the single-input-single-output energy conversion device, respectively; The carbon flow model of the single-input-multiple-output energy conversion device considering carbon loss is: In the formula, e 2,in is the node carbon potential of the input port of the single-input-multiple-output energy conversion device, e 2,out_e and e 2,out_h are the electrical and thermal node carbon potentials at the output port, respectively; and They are the electricity conversion and heat conversion efficiencies of the single-input-multiple-output energy conversion device, respectively; The carbon flow model of the centralized new energy output equipment considering carbon loss is: e 3,out ＝0 In the formula, e 3,out The node carbon potential of the output port of the centralized new energy output equipment; The carbon flow model of electric vehicle-type energy storage equipment considering carbon loss is: When the energy storage device is in a charging state as a whole at time t, the charging power of the energy storage device is greater than the discharging power at time t: In the formula, is the carbon potential at the input port of the energy storage device at time t, which is the carbon potential at the output port of the energy station When the energy storage device is in a charging state as a whole at time t, the charging power of the energy storage device is greater than the discharging power at time t: In the formula, is the carbon potential at the output port of the energy storage device at time t, that is, the discharge carbon potential of the energy storage device at time t Step 2: Based on the carbon flow model of energy conversion devices, centralized new energy output equipment and electric vehicle-type energy storage equipment that considers carbon loss, define the carbon potential conversion efficiency of energy conversion devices to describe the carbon potential relationship between input and output ports, and establish a carbon hub model that considers carbon flow loss of energy stations; Step 3: Considering the case where centralized new energy output equipment and electric vehicle-type energy storage equipment are connected to the energy station, analyze the relationship between the carbon emission flow rates within the energy station, define the carbon emission flow rate conversion efficiency of the energy conversion device to describe the relationship between the input and output carbon flow rates, and establish a carbon flow rate coupling matrix.

2. A control model construction method considering electric vehicles accessing energy stations according to claim 1, characterized in that: The carbon potential conversion efficiency of the energy conversion device in the second step is: In the formula, e 2,in is the node carbon potential of the input port of the single-input-multiple-output energy conversion device, e 2,out_e and e 2,out_h are the carbon potentials of the electrical and thermal nodes at the output port, respectively, and μ1 is the carbon potential conversion efficiency of the single-input-single-output energy conversion device; and They are the carbon potential conversion efficiency of single-input-multiple-output energy conversion devices for electricity and heat respectively; μ3 is the carbon potential conversion efficiency of centralized new energy output equipment.

3. A control model construction method considering electric vehicles accessing energy stations according to claim 1, characterized in that: The carbon hub model considering the carbon flow loss of energy stations described in the second step is: In the formula, and The electric power and gas power are input to the energy station respectively. and They are the electrical load power and thermal load power of the energy station respectively; and Input the carbon potential of the power node and the carbon potential of the natural gas node for the energy station respectively. and are the carbon potential of the power output node and the thermal node of the energy station respectively; f represents the carbon flow conversion coefficient of the energy station.

4. The control model construction method considering electric vehicles accessing energy stations according to claim 1 is characterized in that: In the third step, when considering the centralized new energy output equipment connected to the energy station, the carbon flow rate coupling matrix is: THE load ·AND out =F·P in ·AND in In the formula, P in and L load are the input active power vector and the energy station load vector, E in and E out are the input and output carbon potential vectors respectively, and F is the carbon flow rate coupling matrix of the energy station.

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