Design of Automatic Allocation System for Power Supply Service Terminals Based Distributed Decision Mechanism and Threshold Decision

Nowadays, automatic systems for power supply terminals have huge demand in power distribution networks. To optimize and streamline the process of allocation of power supply points, these systems were designed for the power supply. The challenges in automatic systems for power supply terminals include with the service terminal allocation such as manual intervention causes human error, time-consuming, and incapable of real-time response in emergencies. To overcome these challenges proposed Distributed Decision Mechanism (DDM) and Threshold Decision (TD) method for power supply allocation. Initially, the input data is collected from the power demand dataset whereas the dataset consists of electrical consumption and weather data. Then the preprocessing is done by the vertical partitioning and pairing in power supply allocation by dividing it into subsets based on attributes and similarities. The power supply allocation is done through the DDM-TD which allows multiple agents to make power supply allocation decisions independently. From the results the proposed DDM-TD shows better performance in terms of Accuracy of (77.86%) and MAPE of (65.67 %) when compared to previous existing method of method Bidirectional Long Short-Term Memory Neural Network (Bi-LSTM) respectively.