Associated unit electric carbon sensitivity analysis algorithm based on graph calculation

Abstract

The invention provides a graph calculation-based associated unit electric carbon sensitivity analysis algorithm, which comprises the following steps of: obtaining a structured model connection file and topological data, and updating the obtained file and data in real time; according to the obtained structured model connection file and topological data, constructing a power grid power supply association graph model, and determining a topological association structure in the power grid power supply association graph model; determining a direct connection unit and a line node with negative transmission power, and accumulating various powers to the total power of a target station; traversing all stations associated with the target station Sk, and calculating the total power of the stations associated with the target station Sk so as to obtain the sensitivity of associated units of the stations relative to the target station Sk; according to the obtained sensitivity, determining the electrical carbon sensitivity of the associated unit of the station relative to the target station Sk; the method is beneficial to formulating a carbon emission management strategy and optimizing a power generation combination of a power system.

Description

Technical Field

[0001] The invention relates to the technical field of optimized operation of distribution networks, and in particular to an electric-carbon sensitivity analysis algorithm for associated units based on graph calculation. Background Art

[0002] The power system is an important pillar of the national economy, and its carbon emissions account for a large proportion of the total carbon emissions of the society. Due to the dependence between carbon flow and active power flow, it can be considered that: in the power system, the carbon flow starts from the power plant (power plant node), follows the power plant to the grid, the active power enters the power system, follows the active power flow in the system to flow in the power grid, and finally flows into the consumer terminal (load node) on the user side. On the surface, carbon emissions are discharged into the atmosphere through power plants, but in fact, carbon emissions are consumed by power users through carbon flows. For the calculation of carbon emissions of power stations, considering the carbon emission levels of different generators, the carbon traceability of the station can more comprehensively understand the source of carbon emissions of the entire power grid and optimize the carbon emission performance of the power system.

[0003] The site load in the power system changes at any time, and the operation mode and carbon emission level of the power generation unit will also change accordingly. By tracking the carbon footprint of the power system, the sources of carbon emissions in different energy sources, power plants and power networks can be clearly identified, which helps to distinguish between high-carbon and low-carbon power generation methods and provide more targeted strategies for emission reduction.

[0004] In addition, the station has a certain degree of control over the selection and operation of the generator set. By performing station-oriented generator set sensitivity analysis based on the results of the power flow state estimation and realizing the carbon traceability of the station, it is possible to more clearly understand its own impact on the overall carbon emissions, encourage power loads to choose cleaner and low-carbon power generation methods to optimize the energy structure, promote the adoption of renewable energy and promote the development of the clean energy market. Summary of the invention

[0005] The present invention relates to an electric carbon sensitivity analysis algorithm of associated units based on graph calculation. From the perspective of electric carbon emissions, based on the results of power flow state estimation, the associated power supply units of the target station are determined by searching the power supply path of the station, and the carbon traceability of the station is achieved through the power generation type and carbon emission coefficient of each unit.

[0006] The present invention adopts the following technical solution:

[0007] The method for analyzing the electric-carbon sensitivity of associated units based on graph calculation comprises the following steps:

[0008] Obtain structured model connection files and topology data, and update the obtained files and data in real time;

[0009] According to the obtained structured model connection file and topology data, a power grid power supply association graph model is constructed, and a topological association structure in the power grid power supply association graph model is determined;

[0010] Determine the directly connected units and the line nodes with negative transmission power (power input), and add all types of power to the total power of the target station;

[0011] Target station S k The total power is defined as:

[0012]

[0013] P U,k,0,α The target station S k The power input of the αth directly connected unit; P L,k,0,β The target station S k The βth directly connected negative load power input; The target station S k The power input of the γ1th direct transmission line node with negative power; ∑P U,k,O,α The target station S k The sum of the power inputs of all directly connected units;

[0014] ∑P L,k,0,β The target station S k The sum of all directly connected negative load power inputs; The target station S k The sum of the power inputs of all directly connected line nodes whose transmission power is negative.

[0015] Traverse all the target stations S k The associated station and calculate the target station S k The total power of the associated stations, thus obtaining the associated units of the station relative to the target station S k Sensitivity;

[0016] According to the obtained sensitivity, determine the associated units of the station relative to the target station S k Electrocarbon sensitivity.

[0017] Furthermore, with the target station S k Associated m-order station The total power is calculated as:

[0018]

[0019] is the power input of the αth directly connected unit in the m-th order station, is the power input of the βth directly connected negative load of the m-th order station, The m-th-order station m+1The power input of the line node with negative direct transmission power; It is the sum of the power input of all directly connected units of the m-th order station; It is the sum of the power input of the m-order station directly connected negative load; It is the sum of the power inputs of the line nodes with negative transmission power directly connected to the m-th-order station.

[0020] Furthermore, the αth associated unit of the m-th order station is relative to the target station S k The sensitivity is:

[0021]

[0022] in, is the m-1th order station m The power input of the line node with negative direct transmission power; is the target station S k Associated m-order station total power.

[0023] Furthermore, the αth associated unit of the m-th order station is relative to the target station S k The electro-carbon sensitivity is:

[0024]

[0025] Among them, ρ n It is the carbon emission factor benchmark value corresponding to the unit type.

[0026] The advantages and positive effects of the present invention are:

[0027] 1. The present invention can evaluate the sensitivity of different units to carbon emissions by calculating the electric-carbon sensitivity of related units, help formulate carbon emission management strategies, optimize the power generation combination of the power system, reduce the use of high-carbon emission generating units, thereby reducing overall carbon emissions and achieving sustainable use of clean energy.

[0028] 2. The present invention can identify areas of high energy consumption and high load by analyzing the topological structure of the power grid and the power of the power supply nodes, so as to carry out targeted energy management and energy-saving and emission reduction measures, which will help improve energy utilization efficiency, reduce energy waste, and promote sustainable development and a low-carbon economy. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] Figure 1 It is a simplified power grid power supply association graph model in Embodiment 1 of the present invention;

[0030] Figure 2 It is the topological structure of the power supply association diagram of the power grid in Embodiment 1 of the present invention;

[0031] Figure 3 It is a specific topological structure of the power supply association diagram of the power grid in Embodiment 2 of the present invention;

[0032] Figure 4 It is the carbon emission benchmark value for each category of units provided by the present invention. DETAILED DESCRIPTION

[0033] In order to make the purpose, technical scheme and advantages of the implementation of the present invention clearer, the technical scheme in the embodiment of the present invention will be described in more detail below in conjunction with the drawings in the embodiment of the present invention. In the drawings, the same or similar reference numerals throughout represent the same or similar elements or elements with the same or similar functions. The described embodiments are part of the embodiments of the present invention, not all of the embodiments. The embodiments described below with reference to the drawings are exemplary and are intended to be used to explain the present invention, and should not be construed as limitations on the present invention. Based on the embodiments in the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0034] The embodiments of the present invention are described in detail below with reference to the accompanying drawings.

[0035] Example 1

[0036] The present embodiment provides an algorithm for analyzing the electric-carbon sensitivity of associated units based on graph calculation, and the method comprises the following steps:

[0037] Import the structured model connection files of all substations, transmission lines, feeders, loads, and distributed power sources in the area to be analyzed. The formats are not limited to Excel, XML, CIM / E, JSON, etc. The equipment contains coordinate information; the topology data includes all equipment in the substation, transmission lines, feeders, loads, and distributed power sources, such as main transformers, busbars, switch connection equipment, line ends, etc.; the structured model connection files are updated as the actual grid connection relationship changes, and the measurement data needs to collect minute-level section data for real-time update;

[0038] Based on the full topological model data of the power grid, a simplified power grid power supply association graph model is constructed; Figure 1 As shown in the figure, the power supply association graph model only retains the substation nodes (Substation), unit nodes (Unit), load nodes (Load) and transmission line nodes (Line) in the full topology model data; the substation nodes are directly associated with the unit nodes or load nodes through edges (sub_unit or sub_load).

[0039] like Figure 2 As shown, station S k The αth directly connected unit is denoted as Unit k,0,α , the βth directly connected load is recorded as Loadk,0,β , the γ1th direct-connected transmission line end is recorded as (this side Contralateral );

[0040] Station S k Through the transmission line The connected 1st-order station is The αth first-order neighbor unit under this station is denoted as The load of the βth neighbor of order 1 is recorded as The γ2nd neighbor transmission line end of the first order is recorded as (this side Contralateral ),

[0041] Station Through the transmission line The connected 2nd-order station is

[0042] The αth second-order neighbor unit under this station is denoted as The load of the βth neighbor of the second order is recorded as The γ3rd neighbor transmission line end of the second order is recorded as (this side

[0043] Contralateral By analogy, the m-th order station is The αth neighbor unit of order m is denoted as The m-th β-th neighbor load is recorded as mth order γ m+1 The neighbor transmission line end is recorded as (this side Contralateral );

[0044] By analyzing the graph topology of "station-generator", "station-load (negative load)" and "station-line" in the power supply relationship graph model, we can determine the directly connected units and line nodes with negative transmission power (power input), and add all types of power to the "total power" attribute of the target station.

[0045] Target station S k The total power is defined as:

[0046]

[0047] P U,k,0,α The target station S k The power input of the αth directly connected unit; P L,k,0,β The target station S k The βth directly connected negative load power input; The target station S k The power input of the γ1th direct transmission line node with negative power; ∑P U,k,O,αThe target station S k The sum of the power inputs of all directly connected units;

[0048] ∑P L,k,0,β The target station S k The sum of all directly connected negative load power inputs; The target station S k The sum of the power inputs of all directly connected line nodes whose transmission power is negative.

[0049] Traverse all the target stations S k The associated station and calculate the target station S k The total power of the associated stations, thus obtaining the associated units of the station relative to the target station S k sensitivity; specifically, the line node with negative transmission power is the associated power supply node, and through the graph topology structure of "station-line" in the graph model, through the line node with negative transmission power (power input), the "station-station" association relationship is searched; it is determined whether there is an associated station that has not been traversed, if so, continue to traverse through the graph topology structure of "station-line"; if not, the record is returned to the unit set;

[0050] According to the obtained sensitivity, determine the associated units of the station relative to the target station S k Electrocarbon sensitivity.

[0051] Specifically, with the target station S k Associated m-order station The total power is calculated as:

[0052]

[0053] is the power input of the αth directly connected unit in the m-th order station, is the power input of the βth directly connected negative load of the m-th order station, The m-th-order station m+1 The power input of the line node with negative direct transmission power; It is the sum of the power input of all directly connected units of the m-th order station; It is the sum of the power input of the m-order station directly connected negative load; It is the sum of the power inputs of the line nodes with negative transmission power directly connected to the m-th-order station.

[0054] The αth associated unit of the m-th order station is relative to the target station S k The sensitivity is:

[0055]

[0056] in, is the m-1th order station m The power input of the line node with negative direct transmission power; is the target station S k Associated m-order station total power.

[0057] The αth associated unit of the m-th order station is relative to the target station S k The electro-carbon sensitivity is:

[0058]

[0059] Among them, ρ n It is the carbon emission factor benchmark value corresponding to the unit type.

[0060] Example 2

[0061] As an example, in this embodiment, an example is described according to the method in Embodiment 1:

[0062] Create a power grid graph model, including substation nodes, unit nodes, load nodes, and transmission line nodes. Use the nodes and edges of the graph to represent the various components of the power grid, where the edges represent the connection between the substation and the unit / load, such as Figure 3 As shown;

[0063] Through the graph topology of "station-unit", "station-load (negative load)" and "station-line" in the graph model, directly connected units and line nodes with negative transmission power (power input) are determined, and various powers are accumulated to the "total power" attribute of the target station;

[0064] like Figure 3 As shown, the P of station k u =50MW, P l =5MW, P t =10MW, P k =65MW;

[0065] P of the first-order neighbor station S1 S1 =40+10=50MW

[0066] The line nodes with negative transmission power are associated power supply nodes; through the graph topology structure of "station-line" in the graph model, the "station-station" association relationship is searched through the line nodes with negative transmission power (power input); it is determined whether there are associated and untraversed stations for the associated stations. If so, continue to traverse through the graph topology structure of "station-line"; if not, the record is returned to the unit set.

[0067] Sensitivity calculation of related unit Unit1-1ε n =(10 / 65)*(10 / 50)*(40 / 50)=0.025. Assuming that the unit is a conventional coal-fired unit of 300MW or below, according to the Implementation Plan for the Total Setting and Allocation of National Carbon Emission Trading Quotas in 2021 and 2022 (Power Generation Industry) Appendix 2 "Carbon Emission Benchmark Values ​​for Each Category of Units", as follows: Figure 4 As shown;

[0068] The 2022 baseline value is 0.8729tCO2 / MWh, so C n =0.022.

[0069] Finally, it should be pointed out that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit them. Although the present invention has been described in detail with reference to the above embodiments, a person skilled in the art should understand that the technical solutions described in the above embodiments can still be modified, or some of the technical features can be replaced by equivalents; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. The graph-based carbon sensitivity analysis algorithm for associated units is characterized by: The method comprises the following steps: Obtain structured model connection files and topology data, and update the obtained files and data in real time; According to the obtained structured model connection file and topology data, a power grid power supply association graph model is constructed, and a topological association structure in the power grid power supply association graph model is determined; Determine the directly connected units and the line nodes with negative transmission power (power input), and add all types of power to the total power of the target station; Target station S k The total power is defined as: P U,k,0,α The target station S k The power input of the αth directly connected unit; P L,k,0,β The target station S k The βth directly connected negative load power input; The target station S k The power input of the γ1th direct transmission line node with negative power; ∑P U,k,O,α The target station S k The sum of the power inputs of all directly connected units; ∑P L,k,0,β The target station S k The sum of all directly connected negative load power inputs; The target station S k The sum of the power inputs of all line nodes whose directly connected transmission power is negative; Traverse all the target stations S k The associated station and calculate the target station S k The total power of the associated stations, thus obtaining the associated units of the station relative to the target station S k Sensitivity; According to the obtained sensitivity, determine the associated units of the station relative to the target station S k Electrocarbon sensitivity.

2. The graph-based carbon sensitivity analysis algorithm for associated units according to claim 1 is characterized in that: With the target station S k Associated m-order station The total power is calculated as: is the power input of the αth directly connected unit in the m-th order station, is the power input of the βth directly connected negative load of the m-th order station, The m-th-order station m+1 The power input of the line node with negative direct transmission power; It is the sum of the power input of all directly connected units of the m-th order station; It is the sum of the power input of the m-order station directly connected negative load; It is the sum of the power inputs of the line nodes with negative transmission power directly connected to the m-th-order station.

3. The graph-based carbon sensitivity analysis algorithm for associated units according to claim 2 is characterized in that: The αth associated unit of the m-th order station is relative to the target station S k The sensitivity is: in, is the m-1th order station m The power input of the line node with negative direct transmission power; is the target station S k Associated m-order station total power.

4. The graph-based carbon sensitivity analysis algorithm for associated units according to claim 3 is characterized in that: The αth associated unit of the m-th order station is relative to the target station S k The electro-carbon sensitivity is: Among them, ρ n It is the carbon emission factor benchmark value corresponding to the unit type.

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