Abstract:

Aiming at the problems of low transaction efficiency, poor operation economy, and weak enforceability in the traditional single chain blockchain, a multi-type producer consumer power transaction optimization model based on multi-chain blockchain is proposed. By storing the transaction information, power information and contract information separately, the power transaction architecture based on the multi-chain blockchain is established to effectively improve the transaction efficiency and enforceability. Combined with the behavior diagnosis of various types of consumers, the power flow constraints, and the slice verification mechanism, the transaction decision-making model of multiple types of consumers is constructed to optimize the allocation of market point-to-point trading resources. Using the fuzzy evaluation theory and the node reputation value incentive mechanism, the independent verification of each block information in multi-chain coupling operation is achieved. On this basis, the multi-objective evolutionary algorithm of the Chebyshev decomposition method is used to solve the optimal decision-making solution based on the conflict of multiple sub objectives. The example results show that the model proposed in this paper can effectively improve the transaction processing efficiency and overall income, verify the transaction scheme of multiple types of consumers in real time, and provide theoretical support and decision-making support for optimizing the transaction decision-making problem among multiple types of consumers.

Key words:

multi-chain blockchain, fuzzy evaluation, Chebyshev decomposition method, multi-objective evolutionary algorithm, power congestion optimization

摘要：

针对传统单链式区块链中存在交易效率低、运行经济性差与可执行性弱等问题，提出基于多链式区块链的多类型产消者电能交易优化模型。通过将交易信息、电能信息和合同信息分离存储，建立基于多链式区块链的电能交易架构，有效提升交易效率与可执行性。结合各类型产消者的行为特征、电能潮流约束与分片验证机制，构建多类型产消者的交易决策模型，实现市场点对点交易资源配置最优化。运用模糊评价理论和节点信誉值激励机制，达成多链式耦合运行下的各区块信息自主校验。在此基础上，利用切比雪夫分解法的多目标进化算法，求解基于多子目标相互冲突的决策最优解。算例结果表明，提出的模型能够有效提升交易处理效率与总体收益，对多类型产消者的交易方案进行实时验证，为优化多类型产消者间交易决策问题提供理论支撑和决策支持。

关键词:

多链式区块链, 模糊评价, 切比雪夫分解法, 多目标进化算法, 电能阻塞优化