Green power tracing method for high-proportion renewable energy supply park

Abstract

Disclosed in the present invention a green power tracing method for a high-proportion renewable energy supply park, comprising: building a park network architecture model, and, on the basis of power flow data at any moment t throughout the year, splitting the park network architecture model into a plurality of active radiation-type power distribution lines; calculating the green power component of each renewable energy in each power distribution line in a single power user; accumulating the green power components to obtain green power consumed by the single power user at any time t and green power generation capacity output by a single renewable energy at any moment t; and forming a green power consumption matrix of the single power user throughout the year and a green power generation capacity matrix of the single renewable energy throughout the year. According to the present invention, the green power consumption of power users can be accurately evaluated, thereby providing accurate data support for green power tracing for users within parks.

Description

A green power tracing method for a park with a high proportion of renewable energy supply Technical Field

[0001] The present invention relates to a green power tracing method for a park with a high proportion of renewable energy supply, and belongs to the technical field of new energy power systems. Background Art

[0002] As my country's economic development enters a new normal, the energy industry is undergoing profound shifts. To achieve the "30.60" dual carbon goals, the proportion of non-fossil energy consumption in terminal energy consumption urgently needs to increase. At the same time, to accelerate the construction of a new power system primarily supported by renewable energy, the penetration rate of renewable energy will continue to rise. It is foreseeable that in industrial parks with abundant new energy resources, the proportion and consumption of green electricity in the power system will continue to increase, and the proportion of zero-carbon electricity in regional power consumption will continue to grow. How to reasonably assess the transmission share of green electricity in the power grid, thereby further analyzing and assessing the proportion of renewable energy in enterprises' electricity and energy consumption, and thus provide guidance for energy consumption and carbon emissions verification, as well as time-based energy use, will effectively transform the industrial park's high proportion of new energy resources into an advantage for business development and investment attraction, becoming the key to the transition to green and low-carbon energy consumption.

[0003] In the field of electricity traceability for green energy consumption by users, in-depth research has been conducted both domestically and internationally. Currently, the most mainstream method relies on green electricity certificates (hereinafter referred to as "green certificates") to establish a connection between user energy consumption and clean electricity at the power generation end. The domestic GEC green certificate and the foreign I-REC and APX green certificates mainly focus on the architecture of the green electricity trading system, which focuses on the unique attributes of electricity at the power generation end. Blockchain encryption technology is used to ensure the uniqueness of users when purchasing green electricity and the accuracy of tracing green electricity to users. However, the above mainstream systems do not consider the actual transmission direction of electricity, decouple the power generation end from the user end, and mainly consider the stability of green electricity trading. Considering the current operation level of the actual power grid, some scholars have proposed to obtain the corresponding green power data of the target area within a preset time period by calculating the curve matching degree of the load curve and the power generation curve. However, this method lacks analysis of the actual power grid structure and actual current. It can be effectively applied in simple power grids, but the error is large when facing my country's multi-level complex power grid. Some scholars have conducted in-depth research on blockchain technology, focusing on the blockchain storage of integrated power generation information, transaction information, transmission information and electricity consumption information, but have failed to clearly explain the architecture of the enterprise's internal power grid and the enterprise's external public network, and the analysis of the relationship between power flow operation and power consumption is also unclear.

[0004] In summary, current research in the field of green power traceability primarily focuses on the design of green certificate trading systems and blockchain encryption, neglecting the actual transmission paths of electricity. Although electricity travels at the speed of light, the intermingling of green power and traditional thermal power within large power grids makes it difficult to accurately analyze the transmission flow and proportion of green power, making large-scale physical green power tracking impossible. However, in various types of parks with relatively simple power grids, the clear and well-defined power grid structure makes it possible to track the flow of green power.

[0005] Summary of the Invention

[0006] The purpose of this invention is to overcome the shortcomings of the existing technology and provide a green power tracing method for a park with a high proportion of renewable energy supply, which can accurately assess the green power consumption of power users and provide accurate data support for green power tracing for users within the park. To achieve the above purpose, the present invention adopts the following technical solutions:

[0007] In a first aspect, the present invention provides a method for tracing the source of green electricity in a park supplied by a high proportion of renewable energy, comprising:

[0008] Obtain the grid structure, grid parameters and power flow data of the high-proportion renewable energy supply park to be traced;

[0009] Based on the obtained grid structure and grid parameters, a campus grid model is established. Based on the power flow data at any time t throughout the year, the campus grid model is split into multiple active-radiating distribution lines.

[0010] Calculate the green power component of each renewable energy source for each power user in each distribution line;

[0011] The green power components of a single power user in each distribution line are accumulated to obtain the green power consumed by a single power user at any time t. The green power components of a single renewable energy source in each distribution line are accumulated to obtain the green power generation output by a single renewable energy source at any time t.

[0012] Based on the green electricity consumed by a single electricity user at each moment throughout the year, a green electricity consumption matrix for a single electricity user throughout the year is formed; based on the green power generation output by a single renewable energy source at each moment throughout the year, a green power generation matrix for a single renewable energy source throughout the year is formed; wherein, the green electricity consumption matrix for a single electricity user throughout the year and the green power generation matrix for a single renewable energy source throughout the year provide data support for green electricity tracing for users in the park to be traced.

[0013] In combination with the first aspect, optionally, establishing a campus grid model based on the acquired grid structure and grid parameters includes:

[0014] According to the grid structure of the park with a high proportion of renewable energy supply to be traced, the grid model of the park with a high proportion of renewable energy supply to be traced is simplified to a green traceability standard grid; in the green traceability standard grid, renewable energy outside the park is connected to the hub substation at a high voltage level, renewable energy inside the park is connected to the hub substation at a low voltage, all power users in the park are connected to the hub substation at a low voltage, and the hub substation uses a feed-in method to supply power to power users. The green traceability standard grid is one of standard grid mode A and standard grid mode B, wherein the standard grid mode A includes one hub substation, and the standard grid mode B includes two hub substations;

[0015] The obtained grid parameters are input into the obtained green traceability standard grid to obtain the park grid model.

[0016] In combination with the first aspect, optionally, the active radial distribution line uses a single renewable energy power station as the source of power supply and connects a single power user as the end, and the number of the active radial distribution lines is the number of power users in the park.

[0017] In combination with the first aspect, optionally, calculating the green power component of each renewable energy source in each distribution line for a single power user includes:

[0018] Initially, there are m renewable energy sources in the park, the green power generated is fully consumed by n electricity users in the park, and there are n active-radiative distribution lines;

[0019] According to the power flow data at any time t throughout the year, calculate the renewable energy S in the park in the nth distribution line m Green electricity component of electricity users n

[0020] After the renewable energy outside the park is transmitted and the power is lost, the renewable energy outside the park G is obtained for diversion according to the number of distribution lines. i ;

[0021] According to the power flow data at any time t throughout the year, calculate the renewable energy G outside the park in the nth distribution line i Green electricity component of electricity users n

[0022] In combination with the first aspect, optionally, the green electricity consumption matrix of a single electricity user throughout the year includes:

[0023] When the green traceability standard grid adopted by the park grid model is standard grid mode A, the green power consumption matrix L of a single power user throughout the year is An for:

[0024] In formula (1), Δt is the interval time for processing the tidal flow data, and H is the total number of data processing times throughout the year; is the amount of green electricity consumed by a single electricity user n at any time t, which is expressed by the following formula:

[0025] In formula (2), is the sum of the green power active power obtained by a single power user n in the nth active radial distribution line in the standard model A of the park power grid; is the sum of the green power reactive power obtained by a single power user n in the nth active radial distribution line in the standard model A of the park power grid; j represents the imaginary part of the complex operation of electrical power;

[0026] When the green traceability standard grid adopted by the park grid model is standard grid mode B, the annual green power consumption matrix L of a single power user is Bn for:

[0027] In formula (3), Δt is the interval time for processing the tidal flow data, and H is the total number of data processing times throughout the year; is the amount of green electricity consumed by a single electricity user n at any time t, which is expressed by the following formula:

[0028] In formula (4), The kth renewable energy outside the park obtained by a single electricity user n at any time t; is the sum of the green power active power obtained by a single power user n in the nth active radial distribution line in the standard model B of the park power grid; It is the sum of the green power reactive power obtained by a single power user n in the nth active radial distribution line in the standard mode B of the park power grid.

[0029] In combination with the first aspect, optionally, the green power generation matrix of a single renewable energy source throughout the year includes:

[0030] When the green traceability standard grid adopted by the park grid model is standard grid mode A:

[0031] The mth renewable energy source S in the park m Green power generation matrix D for the whole year m , expressed by the following formula:

[0032] The i-th renewable energy source G outside the park i Green power generation matrix D for the whole year i, expressed by the following formula:

[0033] When the green traceability standard grid adopted by the park grid model is standard grid mode B:

[0034] The mth renewable energy source S in the park m Green power generation matrix D for the whole year m , expressed by formula (5);

[0035] The i-th renewable energy source G outside the park i Green power generation matrix D for the whole year i , expressed by formula (6);

[0036] The kth renewable energy V outside the park obtained by the first hub substation outside the park k Green power generation matrix D for the whole year k , expressed by the following formula:

[0037] In formulas (5), (6), and (7), Δt is the interval time for processing tidal data, and H is the total number of data processed throughout the year.

[0038] In combination with the first aspect, optionally, the method further includes: calculating the green electricity consumption ratio L of a single power user throughout the year n %, is expressed by the following formula:

[0039] In formula (8), L n represents the annual green electricity consumption of a single power user n; E n The annual electricity consumption measured by the electric energy meter of the nth active radial distribution line where a single power user n is located.

[0040] In a second aspect, the present invention provides a green power tracing device for a park with a high proportion of renewable energy supply, comprising:

[0041] Acquisition module: used to obtain the grid structure, grid parameters and power flow data of the high-proportion renewable energy supply park to be traced;

[0042] Construction module: used to build a campus grid model based on the acquired grid structure and grid parameters. Based on the power flow data at any time t throughout the year, the campus grid model is split into multiple active-radiating distribution lines.

[0043] The first calculation module is used to calculate the green power component of each renewable energy source in each distribution line for a single power user;

[0044] The second calculation module is used to accumulate the green power components of a single power user in each distribution line to obtain the green power consumption of a single power user at any time t, and to accumulate the green power components of a single renewable energy source in each distribution line to obtain the green power generation output of a single renewable energy source at any time t;

[0045] Output module: used to form a green electricity consumption matrix for a single electricity user throughout the year based on the green electricity consumed by a single electricity user at each moment of the year; and to form a green power generation matrix for a single renewable energy throughout the year based on the green power generation output by a single renewable energy source at each moment of the year; wherein, the green electricity consumption matrix for a single electricity user throughout the year and the green power generation matrix for a single renewable energy source throughout the year provide data support for green electricity tracing of users in the park to be traced.

[0046] In a third aspect, the present application provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the green power tracing method for a park with a high proportion of renewable energy supply as described in the first aspect is implemented.

[0047] In a fourth aspect, the present application provides a device, comprising:

[0048] a memory for storing instructions;

[0049] The processor is used to execute the instructions so that the device performs operations to implement the green power tracing method for a park with a high proportion of renewable energy supply as described in the first aspect.

[0050] Compared with the prior art, the green power tracing method for a park with a high proportion of renewable energy provided by the embodiment of the present invention has the following beneficial effects:

[0051] The present invention obtains the grid structure, grid parameters, and power flow data of a high-proportion renewable energy supply park to be traced. Based on the obtained grid structure and grid parameters, a park grid model is established. Based on the power flow data at any time t throughout the year, the park grid model is split into multiple active-radiating distribution lines. The present invention clarifies the topological relationship of the power flow structure from each renewable generator set to the load side, providing a solid computational foundation for the subsequent reliable measurement of energy consumption within the park and the certification of green energy certificates within the park.

[0052] The present invention calculates the green power component of each renewable energy source in each distribution line for a single power user; accumulates the green power component of a single power user in each distribution line to obtain the green power consumed by a single power user at any time t, and accumulates the green power component of a single renewable energy source in each distribution line to obtain the green power generation output by a single renewable energy source at any time t; based on the green power consumed by a single power user at each moment throughout the year, a green power consumption matrix for a single power user throughout the year is formed; based on the green power generation output by a single renewable energy source at each moment throughout the year, a green power generation matrix for a single renewable energy source throughout the year is formed; wherein, the green power consumption matrix for a single power user throughout the year and the green power generation matrix for a single renewable energy source throughout the year provide data support for green power tracing of users in the park to be traced;

[0053] Based on a reasonable analysis of the power grid topology inside and outside the park, this invention integrates the green power inside and outside the park into the power source tracing scope of individual power users, and provides the power source proportion of renewable energy at different voltage levels and different locations. This provides technical support for the park to calculate the green power consumption proportion of users and build a low-carbon and clean park.

[0054] With the support of this invention, the park can use short-term power predictions of light and wind, combined with users' load demands, energy storage output and flexible loads, to make users' electricity consumption match the green electricity inside and outside the park as much as possible, and consume green and clean electricity as efficiently as possible, thereby further creating a zero-carbon or near-zero-carbon park. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] FIG1 is a flow chart of a method for tracing the source of green electricity in a park with a high proportion of renewable energy, provided by a first embodiment of the present invention;

[0056] FIG2 is a structural diagram of a standard grid model A in a green power tracing method for a park with a high proportion of renewable energy provided by an embodiment of the present invention;

[0057] 3 is a structural diagram of a standard grid model B in a green power tracing method for a park with a high proportion of renewable energy provided by Example 1 of the present invention;

[0058] 4 is a power flow analysis diagram when the green traceability standard grid adopted by the park grid model is the standard grid mode A in a green power traceability method for supplying a park with a high proportion of renewable energy provided by the first embodiment of the present invention;

[0059] 5 is a power flow analysis diagram when the green traceability standard grid adopted by the park grid model is the standard grid mode B in a green power traceability method for supplying a park with a high proportion of renewable energy provided by the first embodiment of the present invention;

[0060] FIG6 is a wiring diagram of a campus grid provided in Example 2 of the present invention;

[0061] FIG7 is a campus grid model of the campus grid provided in the second embodiment of the present invention. DETAILED DESCRIPTION

[0062] The present invention will be further described below in conjunction with the accompanying drawings. The following embodiments are only used to more clearly illustrate the technical solutions of the present invention and are not intended to limit the scope of protection of the present invention.

[0063] Example 1:

[0064] As shown in FIG1 , this embodiment provides a green power tracing method for a park with a high proportion of renewable energy supply, including:

[0065] Obtain the grid structure, grid parameters and power flow data of the high-proportion renewable energy supply park to be traced;

[0066] Based on the obtained grid structure and grid parameters, a campus grid model is established. Based on the power flow data at any time t throughout the year, the campus grid model is split into multiple active-radiating distribution lines.

[0067] Calculate the green power component of each renewable energy source for each power user in each distribution line;

[0068] The green power components of a single power user in each distribution line are accumulated to obtain the green power consumed by a single power user at any time t. The green power components of a single renewable energy source in each distribution line are accumulated to obtain the green power generation output by a single renewable energy source at any time t.

[0069] Based on the green electricity consumed by a single electricity user at each moment throughout the year, a green electricity consumption matrix for a single electricity user throughout the year is formed; based on the green power generation output by a single renewable energy source at each moment throughout the year, a green power generation matrix for a single renewable energy source throughout the year is formed; wherein, the green electricity consumption matrix for a single electricity user throughout the year and the green power generation matrix for a single renewable energy source throughout the year provide data support for green electricity tracing for users in the park to be traced.

[0070] The specific steps include:

[0071] Step 1: Obtain the grid structure, grid parameters and power flow data of the high-proportion renewable energy supply park to be traced.

[0072] Step 2: Based on the obtained grid structure and grid parameters, a campus grid model is established. According to the power flow data at any time t throughout the year, the campus grid model is split into multiple active-radiating distribution lines.

[0073] Step 2.1: Based on the acquired grid structure and grid parameters, establish a campus grid model.

[0074] This embodiment is applicable to parks with a high proportion of renewable energy and a clear grid structure. The main features of this type of park are: using a substation with one or two voltage levels as the hub for power transmission, renewable energy inside the park is connected to the hub substation at a low voltage level, and renewable energy outside the park is connected to the hub substation at a high voltage level; all power users in the park are connected to the hub substation at a low voltage level, and the substation uses a feeding method to supply power to power users. There is a clear dividing section between the substation and the external large power grid, that is, it is usually connected to the large power grid with one circuit or two to three circuits, and no circulation is formed in the large power grid.

[0075] Step 2.1.1: Based on the grid structure of the park with a high proportion of renewable energy supply to be traced, simplify the grid model of the park with a high proportion of renewable energy supply to be traced into a green traceability standard grid.

[0076] The green traceability standard grid is one of the standard grid mode A and the standard grid mode B, wherein the standard grid mode A includes one hub substation and the standard grid mode B includes two hub substations.

[0077] As shown in Figure 2, Standard Grid Model A includes a hub substation with a transformer ratio of U3 / U4, where U3 represents the high-voltage side voltage and U4 represents the low-voltage side voltage. Renewable energy sources outside the industrial park are connected to the transformer's high-voltage busbar B3 via dedicated lines at voltage level U3, and the connection line to the public grid is also connected to the transformer's high-voltage busbar B3. Renewable energy sources within the industrial park are connected to the transformer's low-voltage busbar B4 via lines at voltage level U4. All electricity users within the industrial park are connected to the transformer's low-voltage busbar B4 via lines at voltage level U4.

[0078] As shown in Figure 3, Standard Grid Model B includes two hub substations. The transformer ratio at the first hub substation is U1 / U2, with U1 representing the high-voltage side voltage and U2 representing the low-voltage side voltage. The transformer ratio at the second hub substation is U3 / U4, with U3 representing the high-voltage side voltage and U4 representing the low-voltage side voltage. Renewable energy sources outside the industrial park are connected to the high-voltage busbar B1 of the first hub substation's transformer via a dedicated line with voltage level U1. Renewable energy sources outside the industrial park are connected to the high-voltage busbar B3 of the second hub substation's transformer via a dedicated line with voltage level U3. Connection lines to the public grid connect to the high-voltage busbar B1 of the first hub substation's transformer, while supply lines to other industrial parks connect to the low-voltage busbar B2 of the first hub substation's transformer. Renewable energy sources within the industrial park are connected to the low-voltage busbar B4 of the second hub substation's transformer via a line with voltage level U4. All electricity users within the industrial park are connected to the low-voltage busbar B4 of the second hub substation's transformer via lines with voltage level U4.

[0079] It should be noted that Standard Mode A and Standard Mode B do not limit the amount of renewable energy connected to the busbar, but only have stricter requirements on the sections between regional and public power grids, requiring clear section division.

[0080] Step 2.1.2: Input the obtained grid parameters into the obtained green traceability standard grid to obtain the park grid model.

[0081] Grid parameters include: line parameters from renewable energy to hub substations, line parameters from power users to hub substations, and electrical parameters of transformers.

[0082] The campus grid model is shown in Figures 3 and 4.

[0083] Step 2.2: Based on the power flow data at any time t throughout the year, split the campus grid model into multiple active-radiating distribution lines.

[0084] Based on the power flow data at any time t throughout the year, the renewable energy output, substation power flow and line power flow at that time are recorded, and the park grid model is split into multiple active-radiating distribution lines.

[0085] Active radial distribution lines use a single renewable energy power station as the source of power supply and connect a single power user as the end.

[0086] It should be noted that the number of active radial distribution lines is the number of electricity users in the park.

[0087] This embodiment clarifies the topological relationship of the power flow structure from each renewable power generation unit to the load side, providing a solid calculation basis for the subsequent reliable measurement of energy consumption within the park and the recognition of green energy certificates within the park.

[0088] Step 3: Calculate the green power component of each renewable energy source in each distribution line for each power user.

[0089] Step 3.1: Initialize the system. There are m renewable energy sources in the park. The green power generated is fully consumed by n electricity users in the park. There are n active-radiative distribution lines.

[0090] For any renewable energy source S in the park m , split into n active radial distribution lines to supply energy to n electricity users.

[0091] Step 3.2: Based on the power flow data at any time t throughout the year, calculate the renewable energy S in the park in the nth distribution line m Green electricity component of electricity users n It is expressed by the following formula:

[0092] In formula (1): Represents the renewable energy component at time t The active power value of Represents the renewable energy S at time t m Active value of output electrical flow; Represents the renewable energy component at time t The reactive power value, Represents the renewable energy S at time t m Output electrical flow reactive value; Represents the renewable energy S at time t m The apparent power of the output, j represents the imaginary part of the complex operation of electrical power; It represents the active load diversion coefficient of the nth user in the park at time t, The reactive load diversion coefficient of the nth user in the park at time t is expressed by the following formula:

[0093] In formula (2), It represents the active value of the electrical flow on the nth load line at time t, It represents the active value of the total load of the park at time t, It represents the reactive value of the electrical flow on the nth load line at time t, Indicates the active power value of the total load of the park at time t.

[0094] Step 3.3: After the transmission and power loss of renewable energy outside the park, the renewable energy G outside the park is obtained for diversion according to the number of distribution lines. i .

[0095] (1) When the green traceability standard grid adopted by the park grid model is standard grid mode A, the total power injected from bus B3 to bus B4 through the hub substation main transformer is measured by the electrical metering device. The power transmitted from busbar B3 to the public grid connection line measured by the electrical metering device is The power loss of the transformer is Calculate according to the following formula:

[0096] In formula (3), G t is the renewable energy outside the park at time t, is the active power of all renewable energy sources outside the park at time t, is the reactive power of all renewable energy sources outside the park area connected at time t; is the renewable energy outside the i-th park area at time t, is the renewable energy G outside the park at time t i The output active power, is the renewable energy G outside the park at time t i Output reactive power; The active value of the electrical current used to step down the main transformer of the hub substation, The reactive value of the electrical flow used to step down the main transformer of the hub substation; is the active value of the electrical flow transmitted outward by the busbar B3 and the public grid connection line at time t, It is the reactive value of the electrical flow transmitted outward by the connection line between busbar B3 and the public grid at time t.

[0097] Step 3.4: Based on the power flow data at any time t throughout the year, calculate the renewable energy G outside the park in the nth distribution line i Green electricity component of electricity users n

[0098] After transmission and power loss, the green power is further distributed on bus B4. Calculate the renewable energy G outside the park in the nth distribution line. i Green electricity component of electricity users n Calculated by the following formula:

[0099] In formula (4), is the renewable energy G outside the park at time t i The active power value, G is the total output of renewable power sources outside the park at time t t Residual active power transmitted to the load side; is the renewable energy G outside the park at time ti The reactive power value, G is the total output of renewable power sources outside the park at time t t Residual reactive power transmitted to the load side; are the active and reactive power split coefficients of the i-th out-of-region renewable power source at time t, respectively, and are expressed by the following formula:

[0100] In formula (5), G is the total output of renewable power sources outside the park at time t t Residual apparent power transferred to the load side.

[0101] (2) When the green traceability standard grid adopted by the park grid model is standard grid mode B, it is further extended outward to the 1# hub substation based on standard grid mode A.

[0102] At time t, the kth renewable energy source outside the region is connected to bus B1 of 1# hub substation The electrical power flow structure decomposition algorithm is as follows:

[0103] First, detect the outgoing line power of bus B3 To be consistent with Model A, the positive direction of the tidal current is defined as B3 to B2, i.e. It represents the clean power delivered from bus B3 of 2# hub substation to bus B2. Taking the nth radial distribution line as an example, the power user obtains Green power component of power supply This represents the transmission of clean electricity from bus B2 of 1# hub substation to bus B3. Under this condition, The calculation formula is as follows:

[0104] In formula (6), is the renewable energy source outside the region connected to bus B1 of 1# hub substation at time t The active power value of is the renewable energy source outside the region connected to bus B1 of 1# hub substation at time t The reactive power value of and Renewable energy from outside the region connected to busbar B1 of 1# hub substation The output distribution coefficient, and are the residual values ​​of renewable energy sources outside the region connected to busbar B1 of 1# hub substation at the load end, and the calculation formula is as follows:

[0105] In formula (7), and are the renewable energy sources outside the region connected at time t The active and reactive output values, are respectively the active and reactive output values ​​of the total renewable energy sources outside the region connected to busbar B1 of 1# hub substation; V t It is the total amount of renewable energy outside the region connected to bus B1 of 1# hub substation.

[0106] In formula (8), The residual value of renewable energy from outside the region connected to busbar B1 of 1# hub substation at the load end; is the power flow value transmitted from bus B1 to the public grid, is the sum of the flow values ​​transmitted from bus B2 to other parks, is the flow value injected from 1# hub substation to B2 busbar through the main transformer, is the power loss of the main transformer in 1# hub substation, is the flow value injected from 2# hub substation to B4 busbar through the main transformer, is the power loss of the main transformer in 2# hub substation, is the loss allocation coefficient of 2# hub substation.

[0107] Calculate the renewable energy outside the area connected to the 2# hub substation. Similar to the standard grid mode A, take the nth radial distribution line as an example. At time t, the G i Green power component of power supply According to formula (4), due to the presence of green power injected by 1# hub substation, the value in formula (5) is The calculation of residual value is changed as follows:

[0108] Similar to Model A, for a renewable energy source S in the park m , the electricity user obtains S at time t m Green power component of power supply Calculate according to formula (1).

[0109] Step 4: Accumulate the green power components of power users in each distribution line to obtain the green power consumed by a single power user at any time t. Accumulate the green power components of a single renewable energy source in each distribution line to obtain the green power generation output by a single renewable energy source at any time t.

[0110] When the green traceability standard grid adopted by the park grid model is standard grid mode A, the amount of green electricity consumed by a single power user n at any time t is It is expressed by the following formula:

[0111] In formula (10), is the sum of the green power active power obtained by a single power user n in the nth active radial distribution line in the standard model A of the park power grid; It is the sum of the green power reactive power obtained by a single power user n in the nth active radial distribution line in the standard mode A of the park power grid.

[0112] When the green traceability standard grid adopted by the park grid model is standard grid mode B, the amount of green electricity consumed by a single power user n at any time t is It is expressed by the following formula:

[0113] In formula (11), The kth renewable energy outside the park obtained by a single electricity user n at any time t; is the sum of the green power active power obtained by a single power user n in the nth active radial distribution line in the standard model B of the park power grid; It is the sum of the green power reactive power obtained by a single power user n in the nth active radial distribution line in the standard mode B of the park power grid.

[0114] Step 5: The green electricity consumed by a single electricity user at each moment constitutes the green electricity consumption matrix of a single electricity user throughout the year; the green power generation output by a single renewable energy source at each moment throughout the year constitutes the green power generation matrix of a single renewable energy source throughout the year.

[0115] (1) When the green traceability standard grid adopted by the park grid model is the standard grid mode A, the green power consumption matrix L of a single power user throughout the year is An for:

[0116] In formula (12), Δt is the interval time for processing the tidal flow data, and H is the total number of data processed throughout the year.

[0117] When the green traceability standard grid adopted by the park grid model is standard grid mode B, the annual green power consumption matrix L of a single power user is Bn for:

[0118] In formula (13), Δt is the interval time for processing the tidal flow data, and H is the total number of data processed throughout the year.

[0119] (2) When the green traceability standard grid adopted by the park grid model is standard grid model A:

[0120] The mth renewable energy source S in the park m Green power generation matrix D for the whole year m , expressed by the following formula:

[0121] The i-th renewable energy source G outside the park i Green power generation matrix D for the whole year i , expressed by the following formula:

[0122] When the green traceability standard grid adopted by the park grid model is standard grid mode B:

[0123] The mth renewable energy source S in the park m Green power generation matrix D for the whole year m , expressed by formula (14);

[0124] The i-th renewable energy source G outside the park i Green power generation matrix D for the whole year i , expressed by formula (15);

[0125] The kth renewable energy V outside the park obtained by the first hub substation outside the park k Green power generation matrix D for the whole year k , expressed by the following formula:

[0126] In formulas (14), (15), and (16), Δt is the interval time for processing tidal data, and H is the total number of data processed throughout the year.

[0127] The green electricity consumption matrix of a single electricity user throughout the year and the green power generation matrix of a single renewable energy source throughout the year provide data support for the green electricity tracing of users in the park to be traced.

[0128] This embodiment also includes: calculating the green electricity consumption ratio L of a single power user throughout the year n %, is expressed by the following formula:

[0129] In formula (17), L n represents the annual green electricity consumption of a single power user n; E n The annual electricity consumption measured by the electric energy meter of the nth active radial distribution line where a single power user n is located.

[0130] Based on a reasonable analysis of the power grid topology inside and outside the park, this embodiment comprehensively incorporates the green electricity inside and outside the park into the power traceability scope of a single power user, and provides the power traceability proportion of new energy sources at different voltage levels and different locations, providing technical support for the park to count the proportion of green electricity consumption of users and create a low-carbon and clean park.

[0131] With the support of this embodiment, the park can use short-term power forecasts of light and wind, combined with user load demand, energy storage output and flexible load, to ensure that users' electricity consumption is matched with green electricity inside and outside the park as much as possible, and absorb green and clean electricity as efficiently as possible, thereby further creating a zero-carbon or near-zero-carbon park.

[0132] Example 2:

[0133] Taking the actual power grid structure of an industrial park as an example, the park's main power substation is located in the southwest of the park, a 110kV industrial substation. This substation is connected to a 220kV industrial substation via two 110kV lines. The 220kV industrial substation is connected to the public grid via four 220kV lines. The power grid structure of this embodiment is shown in Figure 6.

[0134] According to the park power grid structure of FIG6 and the operation mode of the actual power grid, the park power grid is electrically modeled according to standard mode B. The power grid structure of the embodiment after modeling is shown in FIG7.

[0135] According to the grid structure shown in Figure 7, the actual power flow data of the grid is entered. To simplify the demonstration, the active power flow data of the industrial park for 24 hours on a certain day is used to demonstrate the power tracing results for each hour of the day.

[0136] Based on the real-time power flow of the day, the time-sharing power flow of the four power distribution lines in the park As shown in the following table:

[0137] Table 1 Time series of load of distribution network in the park Unit: MW

[0138] Furthermore, the power load diversion coefficient within the park is calculated according to formula (2), as shown in the following table.

[0139] Table 2 Load diversion coefficient of the distribution network within the park

[0140] Furthermore, the installed capacity of distributed wind power in the area is 20MW, and the installed capacity of distributed photovoltaic power is 10MW. The output characteristics of the distributed new energy in the above area are shown in the following table.

[0141] Table 3 New energy output in the park Unit: MW

[0142] Furthermore, according to formula (1) and formula (13), the renewable energy S is formed m The annual power generation and consumption matrix D m , as shown below:

[0143] Table 4 Green power components traced from distributed photovoltaic S1 within the park to each power user Unit: MW

[0144] Table 5 Green power components traced back to each power user from distributed wind power S2 within the park Unit: MW

[0145] Furthermore, the installed capacity of 110kV onshore wind power outside the region is 50MW, the installed capacity of offshore wind power outside the region is 200MW, and the installed capacity of 220kV onshore wind turbines outside the region is 150MW. Considering the decoupling of active and reactive power in this calculation method, the active power loss of the transformer can be ignored in the active power calculation. The output of these new energy sources is shown in the following table.

[0146] Table 6 Output of renewable energy outside the park (unit: MW)

[0147] First, we focus on the green power distribution of the 110kV onshore wind power G1 outside the park. The onshore wind power G1 is supplied to the park through the 110kV park transformer when it is needed inside the park. When the power inside the park is difficult to be consumed, it is uploaded to the outside for consumption. According to formula (4) and formula (5), formula (9), and formula (14), the renewable energy G outside the park is calculated. i The all-day power generation and consumption matrix D i , as follows:

[0148] Table 7 Green power components traced to each power user from onshore wind power G1 connected to the 110kV side of the 110kV park transformer Unit: MW

[0149] Furthermore, we focus on the new energy sources V1 and V2 connected to the high voltage side of the 220kV industrial transformer. The installed capacity of offshore wind power V1 is 200MW, and the installed capacity of onshore wind power V2 is 150MW. First, we detect the power of the transmission line of bus B3. To be consistent with Model A, the positive direction of the tidal current is defined as B3 to B2, i.e. It represents the clean power delivered from bus B3 of 2# hub substation to bus B2. Taking the nth radial distribution line as an example, the power user obtains Green power component of power supply Then calculate the connected renewable energy V according to formulas (6) to (8) and formula (14):k Annual power generation and consumption matrix D k , as shown in the following table.

[0150] Table 8 Green power components traced to each power user from offshore wind power V1 connected to the 220kV side of the 220kV industrial transformer Unit: MW

[0151] Table 9 Green power components traced to each power user from onshore wind power V2 connected to the 220kV side of the 220kV industrial transformer Unit: MW

[0152] Finally, the green electricity consumption ratio of a single user was obtained based on formula (11) and formula (15), as shown in the following table.

[0153] Table 10: Green consumption ratio of each power user in the park

[0154] Example 2:

[0155] This embodiment provides a green power tracing device for a park with a high proportion of renewable energy supply, including:

[0156] Acquisition module: used to obtain the grid structure, grid parameters and power flow data of the high-proportion renewable energy supply park to be traced;

[0157] Construction module: used to build a campus grid model based on the acquired grid structure and grid parameters. Based on the power flow data at any time t throughout the year, the campus grid model is split into multiple active-radiating distribution lines.

[0158] The first calculation module is used to calculate the green power component of each renewable energy source in each distribution line for a single power user;

[0159] The second calculation module is used to accumulate the green power components of a single power user in each distribution line to obtain the green power consumption of a single power user at any time t, and to accumulate the green power components of a single renewable energy source in each distribution line to obtain the green power generation output of a single renewable energy source at any time t;

[0160] Output module: used to form a green electricity consumption matrix for a single electricity user throughout the year based on the green electricity consumed by a single electricity user at each moment of the year; and to form a green power generation matrix for a single renewable energy throughout the year based on the green power generation output by a single renewable energy source at each moment of the year; wherein, the green electricity consumption matrix for a single electricity user throughout the year and the green power generation matrix for a single renewable energy source throughout the year provide data support for green electricity tracing of users in the park to be traced.

[0161] Example 3:

[0162] This embodiment provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the green power tracing method for a park with a high proportion of renewable energy supply as described in the first embodiment is implemented.

[0163] Example 4:

[0164] This embodiment provides a device, including:

[0165] a memory for storing instructions;

[0166] The processor is used to execute the instructions so that the device performs operations to implement the green power tracing method for a park with a high proportion of renewable energy supply as described in Example 1.

[0167] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the technical principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A method for tracing the source of green electricity in a park supplied by a high proportion of renewable energy, characterized in that: include: Obtain the grid structure, grid parameters and power flow data of the high-proportion renewable energy supply park to be traced; Based on the obtained grid structure and grid parameters, a park grid model is established. According to the power flow data at any time t throughout the year, the park grid model is split into multiple active-radiating distribution lines. Calculate the green power component of each renewable energy source in each distribution line for each power user; The green power components of a single power user in each distribution line are accumulated to obtain the green power consumed by a single power user at any time t; the green power components of a single renewable energy in each distribution line are accumulated to obtain the green power generation output by a single renewable energy at any time t; Based on the green electricity consumed by a single power user at every moment of the year, a green electricity consumption matrix for a single power user throughout the year is formed; Based on the green power generation output by a single renewable energy source at each moment throughout the year, a green power generation matrix of a single renewable energy source throughout the year is formed; wherein, the green electricity consumption matrix of a single power user throughout the year and the green power generation matrix of a single renewable energy source throughout the year provide data support for green electricity tracing of users in the park to be traced.

2. The green power tracing method for a high proportion of renewable energy supply park according to claim 1 is characterized in that: The step of establishing a park grid model based on the acquired grid structure and grid parameters includes: According to the grid structure of the park with a high proportion of renewable energy to be traced, the grid model of the park with a high proportion of renewable energy to be traced is simplified to a green traceability standard grid; in the green traceability standard grid, renewable energy outside the park is connected to the hub substation at a high voltage level, renewable energy inside the park is connected to the hub substation at a low voltage, all power users in the park are connected to the hub substation at a low voltage, and the hub substation supplies power to power users in a feeding manner. The green traceability standard grid is one of the standard grid mode A and the standard grid mode B, wherein the standard grid mode A includes one hub substation, and the standard grid mode B includes two hub substations; The obtained grid parameters are input into the obtained green traceability standard grid to obtain the park grid model.

3. The green power source tracing method for a high proportion of renewable energy supply park according to claim 1 is characterized in that: The active radial distribution line uses a single renewable energy power station as the source of power supply and connects a single power user as the end. The number of the active radial distribution lines is the number of power users in the park.

4. The green power tracing method for a high proportion of renewable energy supply park according to claim 1 is characterized in that: The calculation of the green power component of each renewable energy source in each distribution line for a single power user includes: Initially, there are m renewable energy sources in the park, the green power generated is fully consumed by n power users in the park, and there are n active radial distribution lines; According to the power flow data at any time t throughout the year, calculate the renewable energy S in the park in the nth distribution line m Green electricity component in electricity users n After transmission and power loss, the renewable energy outside the park is used to divert power according to the number of distribution lines. i ; According to the power flow data at any time t throughout the year, calculate the renewable energy G outside the park in the nth distribution line i Green electricity component in electricity users n 5. The green power tracing method for a high proportion of renewable energy supply park according to claim 4 is characterized in that: The green electricity consumption matrix of a single power user throughout the year includes: When the green traceability standard grid adopted by the park grid model is the standard grid mode A, the annual green power consumption matrix L of a single power user is An for: In formula (1), Δt is the interval time for processing power flow data, and H is the total number of data processing times throughout the year; is the amount of green electricity consumed by a single power user n at any time t, expressed by the following formula: In formula (2), is the sum of the green power active power obtained by a single power user n in the nth active radial distribution line in the standard mode A of the park power grid; is the sum of the reactive power of green power obtained by a single power user n in the nth active radial distribution line in the standard mode A of the park power grid; j represents the imaginary part of the complex operation of electrical power; When the green traceability standard grid adopted by the park grid model is the standard grid mode B, the annual green power consumption matrix L of a single power user is Bn for: In formula (3), Δt is the interval time for processing power flow data, and H is the total number of data processing times throughout the year; is the amount of green electricity consumed by a single power user n at any time t, expressed by the following formula: In formula (4), The kth renewable energy outside the park obtained by a single power user n at any time t; is the sum of the green power active power obtained by a single power user n in the nth active radial distribution line in the standard mode B of the park power grid; It is the sum of the green power reactive power obtained by a single power user n in the nth active radial distribution line in the standard mode B of the park power grid.

6. The green power tracing method for a high proportion of renewable energy supply park according to claim 5 is characterized in that: The green power generation matrix of a single renewable energy source throughout the year includes: When the green traceability standard grid adopted by the park grid model is standard grid mode A: The mth renewable energy source S in the park m Green power generation matrix D for the whole year m , expressed by the following formula: The i-th renewable energy source G outside the park i Green power generation matrix D for the whole year i , expressed by the following formula: When the green traceability standard grid adopted by the park grid model is standard grid mode B: The mth renewable energy source S in the park m Green power generation matrix D for the whole year m , expressed by formula (5); The i-th renewable energy source G outside the park i Green power generation matrix D for the whole year i , expressed by formula (6); The kth renewable energy V outside the park obtained by the first hub substation outside the park k Green power generation matrix D for the whole year k , expressed by the following formula: In equations (5), (6), and (7), Δt is the interval time for processing power flow data, and H is the total number of data processed throughout the year.

7. The green power tracing method for a high proportion of renewable energy supply park according to claim 6 is characterized in that: Also includes: Calculate the green electricity consumption ratio L of a single power user throughout the year n %, is expressed by the following formula: In formula (8), L n represents the annual green power consumption of a single power user n; E n The annual electricity consumption measured by the electric energy meter of the nth active radial distribution line where a single power user n is located.

8. A green power tracing device for a high proportion of renewable energy supply park, characterized in that: include: Acquisition module: used to obtain the grid structure, grid parameters and power flow data of the high-proportion renewable energy supply park to be traced; Construction module: used to establish a park grid model based on the acquired grid structure and grid parameters, and split the park grid model into multiple active radial distribution lines according to the power flow data at any time t throughout the year; The first calculation module is used to calculate the green power component of each renewable energy source in each distribution line for a single power user; The second calculation module is used to accumulate the green power components of a single power user in each distribution line to obtain the green power consumed by a single power user at any time t, and to accumulate the green power components of a single renewable energy in each distribution line to obtain the green power generation output by a single renewable energy at any time t; Output module: used to form a green power consumption matrix for a single power user throughout the year based on the green power consumed by a single power user at each moment of the year; Based on the green power generation output of a single renewable energy source at every moment of the year, a green power generation matrix of a single renewable energy source throughout the year is formed; Among them, the green electricity consumption matrix of a single electricity user throughout the year and the green power generation matrix of a single renewable energy source throughout the year provide data support for the green electricity tracing of users in the park to be traced.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the green power tracing method for a park with a high proportion of renewable energy supply as described in any one of claims 1 to 7 is implemented.

10. A device, characterized in that: include: A memory for storing instructions; A processor is used to execute the instructions so that the device performs operations to implement the green power tracing method for a park with a high proportion of renewable energy supply as described in any one of claims 1-7.

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