Performance Improvement of Integrated Microgrid Based Predictive Control Scheme

DOI

10.2991/978-94-6463-471-6_5How to use a DOI?

Keywords

Storage System; Model Predictive Voltage and Power; Sliding Mode Control; Model predictive Current and Power

Abstract

The voltage quality of a renewable energy system may be undermined by variable power demand and erratic energy source outputs. The suggested approach entails the use of both a Model Predictive Based Voltage and Power control (MPVP) method and a Model Predictive Based Current and Power (MPCP) control method. The proposed MPCP algorithm can be used to manage battery storage systems dc-dc converters and stabilize voltage at dc bus by adjusting the varying output from renewable energy sources. The MPVP system is utilized in interlink converter control to ensure a steady provision of AC voltage while facilitating optimal energy transfer between the electric grid and microgrid. Moreover, an integrated system is developed for energy management to offer constant performance under a variety of operating modes. Based on the projected output current in every conceivable switching state throughout each sample interval, the resulting voltage is estimated by applying the system model. The efficacy of the adopted methodology has been affirmed through MATLAB/Simulink. To further grasp the benefits of the proposed methods encompass, traditional PI as well as sliding mode control (SMC) tactics during diverse scenarios. The postulated control technology has clear advantages over the conventional PI and SMC control performance and exceptionally low (THD) value. Ultimately, it could be claimed that the proposed method increases the bar and guarantees that the RES operates consistently.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - P. Sai Sampath Kumar
AU  - P. Suresh
AU  - D. Lenine
PY  - 2024
DA  - 2024/07/30
TI  - Performance Improvement of Integrated Microgrid Based Predictive Control Scheme
BT  - Proceedings of the International Conference on Computational Innovations and Emerging Trends (ICCIET- 2024)
PB  - Atlantis Press
SP  - 43
EP  - 53
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-471-6_5
DO  - 10.2991/978-94-6463-471-6_5
ID  - Kumar2024
ER  -