US 12,307,467 B2
Method for tracking carbon flow of power system, device and medium
Bo Hu, Dalian (CN); Gangjun Gong, Beijing (CN); Jiaxuan Yang, Beijing (CN); Wanli Cui, Dalian (CN); Jichao Dong, Dalian (CN); Jun Lu, Beijing (CN); Xu Zhang, Beijing (CN); Chunhua Lin, Dalian (CN); Zongle Ma, Dalian (CN); Ren Qiang, Beijing (CN); Li Liu, Beijing (CN); Qiguo Zhang, Dalian (CN); Xin Wu, Beijing (CN); Jiuliang Liu, Dalian (CN); Luyao Wang, Beijing (CN); Luning Jiang, Dalian (CN); Yurui Wang, Dalian (CN); Chang Su, Beijing (CN); Qiang Fang, Dalian (CN); Ao Yu, Dalian (CN); Yutong Wang, Dalian (CN); Shengjie Zhou, Dalian (CN); Meinan Lin, Dalian (CN); Linan Feng, Dalian (CN); Yilin Liu, Dalian (CN); and Qiang Zhang, Dalian (CN)
Assigned to NORTH CHINA ELECTRIC POWER UNIVERSITY, Beijing (CN); and STATE GRID LIAONING ELECTRIC POWER SUPPLY CO., LTD., Dalian (CN)
Filed by NORTH CHINA ELECTRIC POWER UNIVERSITY, Beijing (CN); and STATE GRID LIAONING ELECTRIC POWER SUPPLY CO., LTD., Dalian (CN)
Filed on Oct. 15, 2024, as Appl. No. 18/916,667.
Claims priority of application No. 202311353796.4 (CN), filed on Oct. 19, 2023.
Prior Publication US 2025/0131452 A1, Apr. 24, 2025
Int. Cl. G06Q 30/018 (2023.01); G06Q 50/06 (2024.01)
CPC G06Q 30/018 (2013.01) [G06Q 50/06 (2013.01)] 10 Claims
OG exemplary drawing
 
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 PG of generator sets of all substations to be tracked, an injected carbon flow rate sum column matrix RG 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 Sr of the branch formed between substations to be tracked;
acquiring a carbon potential matrix EN 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 EN 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 RG of generator sets; preset rule a is: to respond to that a is to calculate the sum RGj 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 Sr of the branch; preset rule b is: to respond to that b is to construct P′B and the power flow proportion distribution matrix Sr 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.