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

机译：基于IOT和基于遗传算法的自动中央控制器，用于电力系统中有效拥塞管理

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摘要

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.
机译：电力系统拥塞管理在管理系统中在管理系统中发挥着重要作用。拥塞管理涉及通过不同传输线同时通过不同的传输线重新排出电力。在本文中，通过基于IOT（Internet）的控制策略同时改变电力系统的不同总线的负载，在传输线中释放拥塞。此策略涉及应用消息队列遥测传输（MQTT）协议。负载使用继电器远程控制。继电器接收根据所提出的中央控制器给出的解决方案来接收用于切换负载的控制信号，该解决方案执行基于GA基于GA基于优化方法的总线功率注射相关的计算。电力系统需要同时控制不同的负载来管理通过这种自动技术实现的拥塞。在实验室规模IEEE 5总线硬件模型中测试了这种自动中央控制器策略，并在本文中提出了结果。

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