IoT and Genetic Algorithm based Automated Central Controller for Effective Congestion Management in Power System

Abstract

Power system congestion management plays a major role in managing the system in a secured state. Congestion management involves the rerouting of power through different transmission lines in an effective manner simultaneously. In this paper, congestion is relieved in the transmission line by varying the loads at different buses of the power system simultaneously using IoT (Internet of Things) based control strategy. This strategy involves applying a Message Queue Telemetry Transport (MQTT) protocol. The loads are controlled remotely using relays. The relays receive the control signal for switching the load depending on the solution given by the proposed central controller which performs computation related to change in bus power injection based on the GA based optimization method. Power system requires simultaneous control of different loads to manage the congestion which is made possible by this automated technique. This automated central controller strategy is tested in laboratory scale IEEE 5 bus hardware model and the results are presented in this paper.