Method for tracking carbon flow of power system, device and medium

Patent metadata

Field	Value
Publication number	US-12307467-B2
Application number	US-202418916667-A
Country	US
Kind code	B2
Filing date	Oct 15, 2024
Priority date	Oct 19, 2023
Publication date	May 20, 2025
Grant date	May 20, 2025

Abstract

Provided are a method for tracking carbon flow of a power system, a device and a medium. The method includes: acquiring related data of carbon flow tracking, where the related data include an injected active power sum column matrix of generator sets of all substations to be tracked, an injected carbon flow rate sum column matrix of generator sets of all substations to be tracked, an output power distribution matrix of a branch formed between substations to be tracked, and a power flow proportion distribution matrix of the branch formed between substations to be tracked; acquiring a carbon potential matrix E N of each substation to be tracked; and acquiring a carbon flow rate of each substation to be tracked, a carbon flow rate of the branch, and a carbon flow rate of an output load on the basis of the carbon potential matrix of each substation to be tracked.

First claim

What is claimed is:

1. A method for tracking carbon flow of a power system, comprising:
acquiring related data of carbon flow tracking, wherein the related data comprise an injected active power sum column matrix P G of generator sets of all substations to be tracked, an injected carbon flow rate sum column matrix R G of generator sets of all substations to be tracked, an output power distribution matrix P′ B of a branch formed between substations to be tracked, and a power flow proportion distribution matrix S r of the branch formed between substations to be tracked;
acquiring a carbon potential matrix E N of each substation to be tracked on the basis of the related data; and
acquiring a carbon flow rate of each substation to be tracked, a carbon flow rate of the branch, and a carbon flow rate of an output load on the basis of the carbon potential matrix E N of each substation to be tracked;
wherein prior to acquiring related data of carbon flow tracking, the method comprises:
constructing a master-slave multi-chain architecture on the basis of all the substations to be tracked and generator sets in the substations to be tracked in the power system, wherein the master-slave multi-chain architecture comprises a master chain constructed by taking all the substations to be tracked as master chain nodes, a plurality of slave chains constructed by taking injected and output loads by the generator sets of the substations to be tracked as slave chain nodes, a dispatching center, several master chain power flow blocks and several slave chain blocks; and
constructing smart contracts;

wherein the constructing smart contracts comprises:
setting preset triggering conditions and preset rules corresponding thereto;
constructing smart contracts on the basis of the preset triggering condition and the preset rules corresponding thereto, wherein the smart contracts comprise smart contract 1 , smart contract 2 , smart contract 3 , smart contract 4 , and smart contract 5 ;
for smart contract 1 and smart contract 2 , the preset triggering condition of smart contract 1 is condition a, and the condition a is to determine whether the dispatching center constructs an injected carbon flow rate sum column matrix R G of generator sets; preset rule a is: to respond to that a is to calculate the sum R Gj of injected active power on the basis of the master chain node, and upload same to the dispatching center;
the preset triggering condition of smart contract 2 is condition b, wherein condition b is that the dispatching center constructs an output power distribution matrix P′ B of a branch, and a power flow proportion distribution matrix S r of the branch; preset rule b is: to respond to that b is to construct P′ B and the power flow proportion distribution matrix S r of the branch through a network topology structure on the basis of the master chain node, and upload same to the dispatching center;
the preset triggering condition of smart contract 3 is condition c, and condition c is to calculate the carbon flow rate of the master chain node by the master chain node; preset rule c is: to respond to that c is to calculate the carbon flow rate of each master chain node on the basis of the master chain node;
the preset triggering condition of smart contract 4 is condition d, and condition d is to calculate a carbon flow rate of the branch connected to the master chain node by the master chain node; preset rule d is: to respond to that d is to calculate carbon flow rates at a head end of an output branch and at a tail end of an input branch of the master chain node on the basis of the master chain node, and calculate a carbon flow rate of a transmission loss of the branch connected to each master chain node;
the preset triggering condition of smart contract 5 is condition e, and condition e is to calculate a carbon flow rate of an output load of the master chain node; and preset rule e is: to calculate a carbon flow rate of the output load on the basis of the output load of the master chain node; and

wherein the method further comprises:
determining, based on the carbon flow rate of each substation to be tracked, the carbon flow rate of the branch, and the carbon flow rate of the output load, a path and contributions of carbon emission of the all substations to be tracked; and
controlling, based on the path and the contributions of carbon emission of the all substations to be tracked, a target substation of the all substations to be tracked to reduce carbon emission.

2. The method according to claim 1 , wherein the acquiring related data of carbon flow tracking at least comprises:
acquiring a carbon traceability broadcast issued by the dispatching center in the whole chain;
acquiring, in response to the carbon traceability broadcast, the sum of injected active power of generator sets corresponding to the master chain node on the basis of each master chain node, and acquiring an injected active power sum column matrix P G of generator sets of all substations to be tracked on the basis of the sum of injected active power of generator sets corresponding to the master chain node;
acquiring, on the basis of each master chain node and smart contract 1 , the sum of injected carbon flow rates of generator sets corresponding to the master chain node, acquiring the sum of injected carbon flow rates of generator sets corresponding to the master chain node on the basis of each master chain node, and acquiring an injected carbon flow rate column matrix R G of generator sets of all substations to be tracked; and
acquiring, on the basis of smart contract 2 and all output branches of each master chain node, an output power distribution matrix P′ B of a branch formed between substations to be tracked, and a power flow proportion distribution matrix S r of the branch formed between substations to be tracked.

3. The method according to claim 1 , wherein the acquiring a carbon potential matrix E N of each substation to be tracked on the basis of the related data comprises:
uploading the related data to the dispatching center through the master chain node; and
calculating a carbon potential matrix E N of each substation to be tracked on the basis of the related data through the dispatching center.

4. The method according to claim 3 , wherein the acquiring a carbon flow rate of each substation to be tracked, a carbon flow rate of the branch, and a carbon flow rate of an output load on the basis of the carbon potential matrix E N of each substation to be tracked comprises:
acquiring carbon potential of each master chain node on the basis of the carbon potential matrix E N of each substation to be tracked;
acquiring a carbon flow rate of the master chain node, i.e. the carbon flow rate of each substation to be tracked on the basis of the carbon potential of each master chain node and smart contract 3 ;
acquiring a carbon flow rate of the branch on the basis of the carbon potential of each master chain node and smart contract 4 ; and
acquiring a carbon flow rate of an output load on the basis of the carbon potential of each master chain node and smart contract 5 .

5. The method according to claim 1 , wherein the constructing a master-slave multi-chain architecture on the basis of all the substations to be tracked and generator sets in the substations to be tracked in the power system at least comprises: packing the sum of injected active power of the generator sets, the active power of the substations to be tracked, and the associated active power corresponding to the substations recorded according to the branches between the substations and the connected substations into the master chain power flow block, wherein a block header of the master chain power flow block comprises a traditional block header, an i

Assignees

• Univ North China Electric Power
• State Grid Liaoning Electric Power Supply Co Ltd

Inventors

• Hu Bo
• Gong Gangjun
• Yang Jiaxuan
• Cui Wanli
• Dong Jichao
• Lu Jun
• Zhang Xu
• Lin Chunhua
• Ma Zongle
• Qiang Ren
• Liu Li
• Zhang Qiguo
• Wu Xin
• Liu Jiuliang
• Wang Luyao
• Jiang Luning
• Wang Yurui
• Su Chang
• Fang Qiang
• Yu Ao
• Wang Yutong
• Zhou Shengjie
• Lin Meinan
• Feng Linan
• Liu Yilin
• Zhang Qiang

Classifications

• H02J2103/35

  Grid-level management of power transmission or distribution systems, e.g. load flow analysis or active network management · CPC title

• G06Q50/06

  Energy or water supply · CPC title

• H02J3/00

  Circuit arrangements for AC mains or AC distribution networks · CPC title

• G06Q50/26

  Government or public services (business processes related to the transportation industry G06Q50/40) · CPC title

• G06Q30/018 Primary

  Certifying business or products · CPC title