Power System Carbon Flow Tracking With Carbon Potential Matrices
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Solution Overview
Problem
Existing carbon flow tracking methods in power systems suffer from low accuracy due to reliance on macro statistics and limited real-time data analysis, which hinders effective carbon reduction strategies.
Innovation Solution
A method involving the construction of a master-slave multi-chain architecture and the use of smart contracts to track carbon flow in power systems, utilizing blockchain technology for data security and accuracy. This method acquires related data, calculates a carbon potential matrix, and determines carbon flow rates for substations, branches, and output loads.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If macro statistics method is used for carbon flow tracking, then data security is ensured, but tracking accuracy is reduced due to lag
Solution Approach 1:
The patent segments the power system into multiple substations and further divides each substation into generator sets, branches, and loads. This hierarchical segmentation enables granular carbon flow tracking at different levels (substation level, branch level, load level), transforming the macro statistics approach into a detailed micro-level analysis while maintaining data security through distributed blockchain storage.
Solution Approach 2:
The patent implements a nested tracking structure where carbon flow is tracked at multiple hierarchical levels simultaneously - generator sets within substations, branches within substations, and loads within branches. Each level's carbon flow data is nested within the parent level's data structure, enabling both comprehensive overview and detailed analysis without sacrificing data security.
2Measurement precision
If carbon flow analysis based on power distribution is used, then tracking accuracy is improved, but data security risks increase
Solution Approach 1:
The patent introduces blockchain technology as an intermediary layer between the power distribution system and the carbon flow analysis system. The blockchain network acts as a decentralized mediator that verifies, stores, and shares carbon flow data among multiple participants without requiring a central authority, thereby maintaining data security while enabling accurate tracking.
Solution Approach 2:
The system implements self-service mechanisms where each substation and participant autonomously generates, verifies, and stores their own carbon flow data on the blockchain. Smart contracts automatically execute verification and validation rules, eliminating the need for centralized data collection and reducing data security risks associated with centralized systems.
Data Source
AI summary
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 EN 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.