基于灰狼算法的电力能源区块链分块优化仿真

Block Optimization Simulation of Power Energy Blockchain Based on Gray Wolf Algorithm

采用目前方法对电力能源区块链进行优化时,无法提高区块链的出块速度,导致方法存在配置容量低和收益率低的问题。提出基于跨链技术的电力能源区块链优化方法,在Cosmos平台的基础上设计跨链方案,对区块链进行划分,提高区块链的出块速度,将最小储能成本和碳排放成本作为优化目标,建立电力能源区块链优化模型,通过参数控制和种群初始化对灰狼算法进行改进,利用改进后的灰狼算法求解电力能源区块链优化模型,完成电力能源区块链的优化。仿真结果表明,所提方法的配置容量高、收益率高。

Aiming at the problem of low configuration capacity and low profitability in current methods,this paper proposes a method of optimizing power energy blockchain based on cross-chain technology.Firstly,we designed a cross-chain scheme based on the Cosmos platform,and partitioned the blockchain,thus improving the speed of block creation in the blockchain.Secondly,we minimized the cost of energy storage and carbon emissions as an optimization goal,and then built an optimization model of the power energy blockchain.Thirdly,we improved the gray wolf optimization algorithm through parameter control and population initialization.Finally,we used the improved algorithm to solve the optimization model,and thus to complete the optimization of the power energy blockchain.Simulation experiment results prove that the proposed method has high configuration capacity and high profitability.