Research On Distributed Energy Dispatching And Multi-user Trading Method Based On Blockchain

Due to the depletion of fossil energy and environmental pollution,clean distributed renewable energy has gradually become the focus of people’s attention.The rapid growth of distributed energy and large-scale grid-connecting put forward new requirements for the real-time dispatching capability.At present,the peer to peer power transmission still lacks a mature trading mode,and each grid entities are temporarily lacking in energy and information circulation and conversion channels.In the past few years,block chain technology has attracted widespread attention as a new decentralized computational generics,and has rapidly become a research hot spot in the field of distributed energy.Block chain is a decentralized distributed shared database,which is the latest solution for conducting trusted transactions under the assumed insecure environment.This paper aims at distributed energy scheduling problems,introduces the block chain into the energy Internet,and proposes distributed energy dispatching and multi-user trading method based on block chain.The research content and innovation of this paper are as follows:(1)Aiming at the energy dispatching problem of multi-entities in distributed energy,proposes an energy Internet network model based on energy block agent router.The energy routers connect the main power entities in their respective jurisdictions and record the power dispatching process by the block chain.The model can meet the power dispatching requirements of each entity and ensure the security of the dispatching data.(2)Aiming at the problems of the slowness of block generation,low authentication efficiency and poor consistency caused by potential malicious nodes in the energy block chain,proposes a energy block chain regional consortium consensus method based on credit evaluation.Firstly,the dispatching network is divided into different regional consortium by the jurisdiction division algorithm.Then,the accounting credit and verification credit evaluation methods of the energy routingagent routers are respectively given.The positive incentives are formed through the binding role of credit evaluation indicators in the block chain consensus.The method can further shorten the block generation time,reduce the verification forwarding process,and improve the verification efficiency.(3)Aiming at the problem of source-load matching and clean energy access in the energy supply and demand relationship of multi-users,proposes an energy decentralization configuration method based on user preference.Firstly,the energy preferences and mathematical models of supply and demand side of the energy entities are defined.Then an energy information matching algorithm and a comprehensive evaluation function are given,and then the energy allocation structure is automatically matched by the distributed block chain smart contract.The method can effectively promote energy consumption,improve the consumption ratio of clean energy in energy transactions,and optimize the resource allocation capability of the power grid to some extent.