基于语音识别技术的配电网多任务协调优化调度

Multi task coordination and optimal dispatching of distribution network based on speech recognition technology

针对多任务调度受到不稳定耦合影响,造成数据不完全拟合,从而影响调度效果的问题,提出了基于语音识别技术的配电网多任务协调优化调度方法。根据不同任务间的类别映射关系,计算配电网多任务协调概率,确定多任务适合的调度语音场景。根据该场景设计基于语音识别的调度控制流程。结合禁忌搜索算法获取最优位置数据,避免出现不稳态解耦情况。构建PID控制器,通过导数定义迭代步骤,协调调度步长。通过设计语音识别智能控制平台,引入极小正值,实现配电网多任务协调优化调度。由实验结果可知,该调度技术数据拟合曲线与标准拟合曲线吻合,且送电时间与实际控制时间的偏差仅为2 min,调度效果精准。

Facing the problem that multi task scheduling is affected by unstable coupling,resulting in incomplete data fitting,which affects the scheduling effect,this paper proposes a coordination and optimal dispatching method for distribution network multi tasks based on speech recognition technology.According to the category mapping relationship between different tasks,the coordination probability of distribution network multi tasks is calculated to determine the appropriate dispatching voice scenario for multi tasks.According to this scenario,a scheduling control flow based on speech recognition is designed.Combined with tabu search algorithm,the optimal position data is obtained to avoid unstable decoupling.PID controller is constructed,iteration steps are defined by derivative,and scheduling steps are coordinated.By designing an intelligent control platform for speech recognition and introducing a minimum positive value,the multi task coordination and optimal dispatching of distribution network can be realized.It can be seen from the experimental results that the data fitting curve of the dispatching technology is consistent with the standard fitting curve,and the deviation between the power transmission time and the actual control time is only 2 minutes,so the dispatching effect is accurate.