An IoT Distributive SM Controller for Mitigation of Circulating Currents Among Sources in a Standalone DC Microgrid
Journal Title: International Journal of Innovations in Science and Technology - Year 2025, Vol 7, Issue 5
Abstract
Sources of similar or different power ratings are connected in parallel within the DC microgrid. During operation, these sources generate circulating currents along with their normal currents, which disrupt proper current sharing among power electronic converters based on their capacity. Consequently, voltage regulation across the system weakens. Additionally, the resistance of the connecting lines contributes to this imbalance in current distribution.To address circulating currents, droop controllers are commonly used. This method allows converters to share power according to their capacity without requiring internal communication. However, a major drawback of conventional droop control is that as output voltage decreases, the converter's output current increases linearly, leading to significant voltage fluctuations. As a result, droop control inherently involves a trade-off between voltage regulation and current sharing, making it impossible to optimize both simultaneously.To overcome this issue, this paper proposesa sliding mode (SM) controller implemented through an IoT-based distributed architecture. A system model is developed to evaluate its performance, and conditions for stability and existence are analyzed. MATLAB simulations provide detailed experimental results, demonstrating the effectiveness of the proposed technique.
Authors and Affiliations
Muhammad Sharjeel Sarwar, Muhammad Rashad, Tayybah Kiren, Nazam Siddique, Bilal Ishfaq Ahmed, Adeel Ahmed, Muhammad Wasif, Muhammad Jehanzeb Irshad
Keywords
Related Articles
- EP ID EP764538
- DOI -
- Views 10
- Downloads 0
Automated Objects Delivery System for Interior Locale using Line Following Robot with Optimized Security Parameters
Automated object delivery robots are increasingly sought for convenience, reliability, efficiency, supporting organizational productivity, elderly assistance, and reducing human error and labor costs in indoor delivery...
Codebook-Based Feature Engineering for Human Activity Recognition Using Multimodal Sensory Data
Recently, Human Activity Recognition (HAR) using sensory data from various devices has become increasingly vital in fields like healthcare, elderly care, and smart home systems. However, many existing HAR systems face...
Design of a High Gain Dual Band Patch Antenna with T Slot Ground Structure for Millimeter Wave Communication Applications
This paper introduces a novel design approach for achieving high gain, dual-band operation, and enhanced bandwidth in a microstrip patch antenna tailored for 5G applications. The antenna operates at the millimeter-wave...
Machine Learning-Based Heart Disease Classification for Symptom-Driven Diagnostics
Heart diseases are increasing over the period while identifying cardiac diseases at an early stage continues to pose a challenge. This study focuses on the application of AI specifically in machine learning to improve...
Explicit State Model Checking Effects on Learning-Based Testing
Exploring the impact of integrating an explicit state model checker into the learningbased testing (LBT) framework presents an intriguing challenge. Traditionally, LBT has leveraged symbolic model checkers such as NuSMV...