Abstract
A medium voltage dc integrated power system utilizes a dc/dc converter to supply constant power loads. In a poorly controlled system, the constant power loads can cause instability in the system due to its negatively incremental impedance. This paper presents a supertwisitng sliding mode control (STSMC) paradigm to control the medium voltage direct current (MVDC) power system operating under constant power loads. Extensive simulation carried out in Matlab/SIMULINK shows that, the proposed STSMC provides smooth and robust performance under varying constant power load (CPL) conditions. The STSMC is compared with previously proposed SMC and backstepping SMC techniques. The proposed techniques showed superior performance in terms of chattering and robustness under changing CPL conditions.
| Original language | English |
|---|---|
| Title of host publication | 2021 IEEE 4th International Conference on Computing, Power and Communication Technologies, GUCON 2021 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781728199511 |
| DOIs | |
| State | Published - 24 Sep 2021 |
| Externally published | Yes |
| Event | 4th IEEE International Conference on Computing, Power and Communication Technologies, GUCON 2021 - Kuala Lumpur, Malaysia Duration: 24 Sep 2021 → 26 Sep 2021 |
Publication series
| Name | 2021 IEEE 4th International Conference on Computing, Power and Communication Technologies, GUCON 2021 |
|---|
Conference
| Conference | 4th IEEE International Conference on Computing, Power and Communication Technologies, GUCON 2021 |
|---|---|
| Country/Territory | Malaysia |
| City | Kuala Lumpur |
| Period | 24/09/21 → 26/09/21 |
Bibliographical note
Publisher Copyright:© 2021 IEEE.
Keywords
- Induction motor
- MVDC
- constant power loads
- grid system
- sliding mode control
ASJC Scopus subject areas
- Artificial Intelligence
- Computer Networks and Communications
- Computer Science Applications
- Computer Vision and Pattern Recognition
- Energy Engineering and Power Technology
- Renewable Energy, Sustainability and the Environment
- Electrical and Electronic Engineering
- Control and Optimization
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