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EP-4506836-B1 - DISTRIBUTED COLLABORATIVE PRVACY CALCULATION METHOD AND SYSTEM FOR CARBON EMISSION IN A PLURALITY OF POWER GRIDS

EP4506836B1EP 4506836 B1EP4506836 B1EP 4506836B1EP-4506836-B1

Inventors

  • YANG, WEI
  • LIU, Wensi
  • JIANG, PENG
  • LI, Yanxi
  • CHEN, XIANG
  • SONG, Jinwei
  • LIU, WENLI
  • SONG, Jimeng
  • SHI, XIN
  • YUAN, Qiheng
  • ZHANG, YUSHU
  • ZHANG, YIHONG

Dates

Publication Date
20260513
Application Date
20240308

Claims (10)

  1. A distributed collaborative privacy calculation method for carbon emission in a plurality of power grids, comprising: obtaining a transferred electricity quantity between regions, obtaining a generating capacity of a sub-region under jurisdiction of each of the regions, a transferred electricity quantity between sub-regions, and a generating capacity of energy of the sub-region, and constructing an electricity quantity exchange matrix between the regions, and a power generation information matrix, an electricity quantity exchange matrix, and a power-generation carbon emission information matrix of each of the regions based on the obtained information; calculating a corresponding electricity carbon flow information matrix based on the power generation information matrix and the electricity quantity exchange matrix of each of the regions; and constructing an electricity carbon emission balance equation based on the electricity carbon flow information matrix and the power-generation carbon emission information matrix of each of the regions, and the electricity quantity exchange matrix between the regions, and calculating an electricity carbon emission factor matrix of each of the regions, wherein the electricity carbon emission factor matrix of the region comprises an electricity carbon emission factor of the sub-region under the jurisdiction of the region.
  2. The method according to claim 1, wherein the electricity carbon emission balance equation is expressed by a following calculation formula: M 1 … P τ 1 … P L 1 ⋮ ⋱ ⋮ … ⋮ P 1 τ … M τ … P L τ ⋮ … ⋮ ⋱ ⋮ P 1 L … P τ L … M L λ 1 ⋮ λ τ ⋮ λ L = C 1 ⋮ C τ ⋮ C L wherein M τ represents an electricity carbon flow information matrix of a τ th region; P τL represents an electricity quantity exchange matrix from the τ th region to an L th region; P Lτ represents an electricity quantity exchange matrix from the L th region to the τ th region; λ τ represents an electricity carbon emission factor matrix of the τ th region; and C τ represents a power-generation carbon emission information matrix of the τ th region.
  3. The method according to claim 2, wherein the electricity carbon emission factor matrix is calculated according to a following calculation formula: λ τ = λ τ 0 − ∑ μ D μτ λ μ wherein λ τ 0 = M τ − 1 C τ D μτ = M τ − 1 P μτ wherein λ τ represents the electricity carbon emission factor matrix of the τ th region; C τ represents the power-generation carbon emission information matrix of the τ th region; λ µ represents an electricity carbon emission factor matrix of a µ th region; P µτ represents an electricity quantity exchange matrix from the µ th region to the τ th region; M τ represents the electricity carbon flow information matrix of the τ th region; D µτ represents an interactive power flow matrix between sub-regions from the µ th region to the τ th region; and λ τ 0 represents an initial iteration value of the electricity carbon emission factor matrix of the τ th region.
  4. The method according to claim 1, wherein the power generation information matrix of the region is expressed by a following calculation formula: E = E 1 0 ⋯ 0 ⋯ 0 0 E 2 ⋯ 0 ⋯ 0 ⋮ ⋮ ⋱ ⋮ ⋯ ⋮ 0 0 ⋯ E i ⋯ 0 ⋮ ⋮ ⋮ ⋮ ⋱ ⋮ 0 0 ⋯ 0 ⋯ E N wherein E represents the power generation information matrix of the region, E i represents a generating capacity of an i th sub-region under the jurisdiction of the region, and N represents a quantity of sub-regions under the jurisdiction of the region; the electricity quantity exchange matrix of the region is expressed by a following calculation formula: P = 0 P 2 , 1 ⋯ P i , 1 ⋯ P N , 1 P 1 , 2 0 ⋯ P i , 2 ⋯ P N , 2 ⋮ ⋮ ⋱ ⋮ ⋯ ⋮ P 1 , j P 2 , j ⋯ 0 ⋯ P N , j ⋮ ⋮ ⋮ ⋮ ⋱ ⋮ P 1 , N P 2 , N ⋯ P i , N ⋯ 0 wherein P represents the electricity quantity exchange matrix of the region, P i,j represents a transferred electricity quantity from the i th sub-region to a j th sub-region, and N represents the quantity of sub-regions under the jurisdiction of the region; and the power-generation carbon emission information matrix of the region is expressed by a following calculation formula: C = ∑ m E 1 , m ε m ∑ m E 2 , m ε m ⋮ ∑ m E i , m ε m ⋮ ∑ m E N , m ε m wherein C represents the power-generation carbon emission information matrix of the region, E i , m represents a generating capacity of an m th type of energy in the i th sub-region, and ε m represents a power-generation carbon emission factor corresponding to the generating capacity of the m th type of energy.
  5. The method according to claim 4, wherein the electricity carbon flow information matrix of the region is calculated according to a following calculation formula: M = E − P + diag P 1 wherein M represents the electricity carbon flow information matrix of the region, E represents the power generation information matrix of the region, P represents the electricity quantity exchange matrix of the region, [1] represents a vector that contains only 1, P [1] represents a vector obtained by multiplying the P and the [1], and diag ( P [1]) represents an operation of placing the vector on a diagonal of a matrix, with a non-diagonal element being 0.
  6. The method according to claim 1, after the calculating an electricity carbon emission factor matrix of each of the regions, further comprising: iteratively correcting the electricity carbon emission factor matrix between the regions pairwise by using a block-Jacobi iteration method based on a preset iteration termination threshold, until the iteration satisfies the iteration termination threshold, and obtaining an electricity carbon emission factor matrix of each of the regions after the iterative correction.
  7. A distributed collaborative privacy calculation system for carbon emission in a plurality of power grids, comprising: a matrix construction module configured to obtain a transferred electricity quantity between regions, obtain a generating capacity of a sub-region under jurisdiction of each of the regions, a transferred electricity quantity between sub-regions, and a generating capacity of energy of the sub-region, and construct an electricity quantity exchange matrix between the regions, and a power generation information matrix, an electricity quantity exchange matrix, and a power-generation carbon emission information matrix of each of the regions based on the obtained information; a matrix calculation module configured to calculate a corresponding electricity carbon flow information matrix based on the power generation information matrix and the electricity quantity exchange matrix of each of the regions; and an electricity carbon emission factor calculation module configured to construct an electricity carbon emission balance equation based on the electricity carbon flow information matrix and the power-generation carbon emission information matrix of each of the regions, and the electricity quantity exchange matrix between the regions, and calculate an electricity carbon emission factor matrix of each of the regions, wherein the electricity carbon emission factor matrix of the region comprises an electricity carbon emission factor of the sub-region under the jurisdiction of the region.
  8. The system according to claim 7, wherein after the electricity carbon emission factor calculation module calculates the electricity carbon emission factor matrix of each of the regions, the system further comprises: an iterative correction module configured to iteratively correct the electricity carbon emission factor matrix between the regions pairwise by using a block-Jacobi iteration method based on a preset iteration termination threshold, until the iteration satisfies the iteration termination threshold, and obtain an electricity carbon emission factor matrix of each of the regions after the iterative correction.
  9. A computer device, comprising at least one processor, and a memory configured to store at least one program, wherein the at least one program is executed by the at least one processor to implement the distributed collaborative privacy calculation method for carbon emission in a plurality of power grids according to any one of claims 1 to 6.
  10. A computer-readable storage medium, wherein a computer program is stored on the computer-readable storage medium, and the computer program is executed to implement the distributed collaborative privacy calculation method for carbon emission in a plurality of power grids according to any one of claims 1 to 6.

Description

TECHNICAL FIELD The present disclosure relates to the field of carbon emission accounting in a power grid, and specifically, to a distributed collaborative privacy calculation method and system for carbon emission in a plurality of power grids. BACKGROUND Electricity carbon emission intensity, also known as an electricity carbon emission factor, refers to a carbon dioxide emission amount per unit electricity consumption. In other words, the electricity carbon emission intensity is calculated by dividing a carbon emission amount by a total electricity consumption. This indicator can be used to analyze a relationship between an electricity consumption and a carbon emission amount in a region. A carbon intensity indicator can also quantitatively measure a development level of clean energy using electricity in a country or region, and is of great significance for monitoring, analyzing, and predicting macro green development in a region. A regional electricity carbon emission factor can be used to enable an enterprise in a region to calculate indirect carbon emission caused by electricity usage of the enterprise. In a specific calculation method, the enterprise multiplies the regional electricity carbon emission factor by an electricity quantity used by the enterprise in the region. This method is in line with a "location-based method" proposed by a greenhouse gas (GHG) protocol. After calculating an electricity carbon emission amount of the enterprise, the enterprise can purchase a green certificate as required or adopt other carbon reduction measures to reduce its carbon emissions. At present, each country generally completes power supply through collaboration of a plurality of regions, and each region is responsible for power supply of a plurality of sub-regions, with at least one power grid disposed in each sub-region. At present, data of each region is kept confidential, and only public data is disclosed. Therefore, when a carbon emission amount in each sub-region of a country is accounted, cross-organization data fusion is required. This can easily lead to leakage of scheduling data between important sub-regions of each organization. In addition, there are slight differences between a range of a power grid disposed in each sub-region of the region and a range of the sub-region. If an average carbon emission factor in a range of each power grid is used for calculation, the carbon emission factor covers an excessive range. A calculation result cannot accurately reflect a differential structure of a power source in each sub-region, resulting in a different electricity carbon emission factor for each sub-region. This further leads to inaccurate accounting of an indirect carbon dioxide emission amount in each sub-region. CN115481898A is prior art disclosing calculating carbon emissions in a plurality of power grids. SUMMARY In order to overcome the above shortcomings in the prior art, the present disclosure provides a distributed collaborative privacy calculation method and system for carbon emission in a plurality of power grids. The present disclosure provides the following technical solutions. The present disclosure provides a distributed collaborative privacy calculation method for carbon emission in a plurality of power grids, including: obtaining a transferred electricity quantity between regions, obtaining a generating capacity of a sub-region under jurisdiction of each of the regions, a transferred electricity quantity between sub-regions, and a generating capacity of energy of the sub-region, and constructing an electricity quantity exchange matrix between the regions, and a power generation information matrix, an electricity quantity exchange matrix, and a power-generation carbon emission information matrix of each of the regions based on the obtained information;calculating a corresponding electricity carbon flow information matrix based on the power generation information matrix and the electricity quantity exchange matrix of each of the regions; andconstructing an electricity carbon emission balance equation based on the electricity carbon flow information matrix and the power-generation carbon emission information matrix of each of the regions, and the electricity quantity exchange matrix between the regions, and calculating an electricity carbon emission factor matrix of each of the regions, where the electricity carbon emission factor matrix of the region includes an electricity carbon emission factor of the sub-region under the jurisdiction of the region. Preferably, the electricity carbon emission balance equation is expressed by a following calculation formula: M1…Pτ1…PL1⋮⋱⋮…⋮P1τ…Mτ…PLτ⋮…⋮⋱⋮P1L…PτL…MLλ1⋮λτ⋮λL=C1⋮Cτ⋮CL where Mτ represents an electricity carbon flow information matrix of a τth region; PτL represents an electricity quantity exchange matrix from the τth region to an Lth region; PLτ represents an electricity quantity exchange matrix from the Lth region to the τth region; λτ repres