基于智能合约的绿色电力交易匹配与碳排放研究OA

With the global power industry's transition towards low-carbonization,to address challenges such as supply-demand price volatility,decentralized matching difficulties,and opaque carbon accounting in green power trading,this paper proposes a green power trading and auditing framework based on blockchain and smart contracts.A collaborative mechanism of"distributed storage-intelligent matching-dynamic accounting"is constructed:First,an underlying architecture is established by combining Hyperledger Fabric and IPFS to realize high-concurrency and de-duplicated storage of power big data.Second,a smart contract-driven double auction mechanism is designed,utilizing Karush-Kuhn-Tucker(KKT)conditions to solve the social welfare maximization model and achieve adaptive matching of supply and demand prices.Finally,a carbon accounting contract based on reputation values is proposed to achieve precise traceability of green attributes by adjusting grid emission factors and implementing a five-level risk warning system.Case study analysis demonstrates that with the introduction of the incentive mechanism,the social welfare of green power trading increases by 30%,the peak electricity price is reduced by approximately 0.2 Yuan/kWh,and the system throughput reaches 800 TPS,effectively meeting the performance requirements for large-scale trading.