State Estimation and Stabilization of an Unstable Islanded Grid Using Wireless Adaptive Sliding Mode Control

EasyChair Preprint 8225

Abstract

The smart grid is expected to use the Internet of Things (IoT) network to reliably monitor its status remotely place. However, due to the potentially volatile nature of a SMART Grid plants, especially when using renewable energy sources, and an unreliable wireless channel used in IoT, it's a challenging function to track the status of smart grid reliably. This paper proposes a robust communication framework for state assessment/tracking. A volatile microgrid, which is a major component of a smart grid. We present an IoT integrated smart grid system for monitoring. The status of the microgrid on the wireless network a delay-universal based error correction codes are used to obtain a reliable and real-time estimation of the microgrid. To take advantage of the features of delay-universal coding scheme, we propose an iterative approximation Technique. By means of numerical results, we show that the proposed the plan can closely track the state of the unstable microgrid. We also show the effect of wireless network parameters assessment performance and estimated performance. This paper proposes an adaptive slide mode controller to learn the estimates given the phasor measurement units voltage and current measurements as inputs, with the intent of obtaining accurate and fast predictions during the evaluation phase. The proposed plan is compared with the estimated performance of a traditional error correction coding scheme. We show that the proposed scheme outperforms the conventional plan.

Keyphrases: Internet of Things (IoT), Smart Microgrids, Wireless Network., energy management, renewable energy sources, state estimation

@booklet{EasyChair:8225,
  author    = {M Dhanapal and M Vijayakumar},
  title     = {State Estimation and Stabilization of an Unstable Islanded Grid Using Wireless Adaptive Sliding Mode Control},
  howpublished = {EasyChair Preprint 8225},
  year      = {EasyChair, 2022}}