基于Q学习和区块链的配网保护方法研究

Research on distribution network protection method based on Q-learning and blockchain

提出一种新的基于Q学习和区块链的配网智能保护方案,可对不同类型的故障进行识别和隔离。Q学习算法被用来训练执行代理在故障识别和清除过程中做出可靠决策。此外,代理之间采用基于区块链的分散式连接进行信息交换。在MATLAB和JADE平台上对该保护方法进行了仿真,结果表明该方法对多类型故障具有较高的可预测性和处理速度。

A new intelligent protection scheme of distribution network based on Q-learning and block chain is proposed,which can identify and isolate different types of faults.Q-learning algorithm is used to train executive agents to make reliable decisions in the process of fault identification and clearance.In addition,the distributed connection based on block chain is used to exchange information between agents.The protection method is simulated on MATLAB and JADE platforms,and the results show that the method has high predictability and processing speed for many types of faults.