Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

P2P Coordinated Control Between SPV and STATCOM in a Microgrid for Power Quality Compensation using LSTM-Genetic Algorithm

Version 1 : Received: 15 May 2023 / Approved: 16 May 2023 / Online: 16 May 2023 (03:26:57 CEST)

A peer-reviewed article of this Preprint also exists.

Swain, D.; Viswavandya, M.; Dash, R.; Reddy, K.J.; Chittathuru, D.; Gopal, A.; Khan, B.; Ravindra, M. P2P Coordinated Control between SPV and STATCOM in a Microgrid for Power Quality Compensation Using LSTM–Genetic Algorithm. Sustainability 2023, 15, 10913. Swain, D.; Viswavandya, M.; Dash, R.; Reddy, K.J.; Chittathuru, D.; Gopal, A.; Khan, B.; Ravindra, M. P2P Coordinated Control between SPV and STATCOM in a Microgrid for Power Quality Compensation Using LSTM–Genetic Algorithm. Sustainability 2023, 15, 10913.

Abstract

The deployment of a Static Synchronous Compensator within a microgrid can facilitate voltage and reactive power regulation, leading to enhanced stability and reliability. Within a microgrid setting, a STATCOM can effectively balance power supply and demand, and mitigate voltage fluctuations caused by the intermittent nature of renewable energy sources. To ensure the successful integration of a STATCOM within a microgrid, coordinating the control system with other Distributed Energy Resources, especially when multiple control strategies are employed, can be a challenging task. Therefore, a meticulously designed control system is indispensable to guarantee the microgrid’s efficient and effective operation. The use of GA in LSTM tuning can accelerate the process of finding optimal hyperparameters for a specific task, obviating the necessity for time-consuming and computationally expensive grid search or manual tuning. This method can be particularly advantageous when handling large data sets and complex models. In this paper, an attempt has been made to model the STATCOM to communicate with the microgrid tuned using LSTM-GA for effective calculation of real and reactive power support during grid disturbances.

Keywords

Algorithm; GA; PSO; PSO-LSTM; Search Space

Subject

Engineering, Electrical and Electronic Engineering

Comments (0)

We encourage comments and feedback from a broad range of readers. See criteria for comments and our Diversity statement.

Leave a public comment
Send a private comment to the author(s)
* All users must log in before leaving a comment
Views 0
Downloads 0
Comments 0
Metrics 0


×
Alerts
Notify me about updates to this article or when a peer-reviewed version is published.
We use cookies on our website to ensure you get the best experience.
Read more about our cookies here.