Research On Energy Routing Control Method Considering Carbon Emission Blockchain Drive

Energy routers as core components of the Energy Internet,Relying on it to explore the energy flow,information flow,carbon emission flow mechanism and multi-flow integration mode in "source-grid-load-storage",and efficient use of it to participate in carbon emission management and optimization is the focus of the overall construction of the Energy Internet.The blockchain and the Energy Internet have natural similarities in topology and operating mechanism,based on the analysis of the tight coupling between blockchain and energy internet,it can fully tap the wide-area adaptability under the coexistence of high proportion of new energy access and traditional power supply,and promote the deconstruction of multi-constraint issues such as power system transformation,carbon reduction,and economy.However,at present,blockchain is widely used in distributed electricity transactions and security guarantees,and has not yet involved the research on carbon chain models of multi-space and multitime domain scales under the Energy Internet.This paper takes the Energy Internet as the research framework,first analyzes the application adaptation characteristics of blockchain technology,proposes the ternary carbon chain operation mechanism of supervision,transaction and traceability,and constructs the logical hierarchical structure of the ternary carbon chain and the masterslave multi-chain model.Secondly,based on the analysis of energy routing application scenarios,proposes a carbon control model-driven energy router extension architecture,derived a node routing control model of "source-grid-load-storage" collaborative topology and multi-flow fusion,explained the interlayer mechanism of index layer,carbon potential layer,node layer and business layer,and based on the simulation of the Multichain Web Demo platform,verifies the information interaction capability.Thirdly,closely integrated with the new power system,facing the development trend of new energy capacity increase,coal power capacity reduction,energy electrification,and energy storage diversification.Based on the energy efficiency coefficient and carbon emission factors under the "source-load interaction",constructed a panoramic carbon control model under the control of energy routing and an evaluation system for primary and secondary low-carbonization indicators of source-end coal power.Based on the subjective and objective index fusion weighting method of CRITIC-G1,the ideal solution-gray correlation method is used to evaluate the designated samples,and the simulation verifies the application effectiveness of the carbon control model under energy routing control and the feasibility of implementing the low-carbon index evaluation system at the source.Finally,with the help of quantitative parameters of the energy system and the interaction relationship of the energy system,constructed a carbon emission model of the Energy Internet with multi-energy collaboration at the source.Based on the heuristic optimization algorithm,this paper conducts research on the energy routing control strategy with the goal of carbon reduction.Through simulation analysis,it can be seen that timely adjustment of wind and solar output can significantly reduce system carbon emissions while meeting load stability and grid security requirements,and verifies the feasibility of energy routing control driven by carbon chain,and provides a reference for all-round electric-carbon coupling in the future.