Investigation of low voltage DC microgrid using sliding mode control

Author:

Sattianadan D.,Kumar G. R. Prudhvi,Sridhar R.,Reddy Kuthuru Vishwas,Reddy Bhumireddy Sai Uday,Mamatha Panga

Abstract

As the requirement of power increases, the use of renewable energy resources has become prominent. The power collected from these energy resources needs to be converted using AC-DC or DC-DC converters. The control of DC-DC converters is a complex task due to its non-linearity in the converter introduced by the external changes such as source voltage, cable resistance and load variations. Converters are to be designed to obtain a well stabilized output voltage and load current for variable source voltages and load changes. Droop control method is the most abundantly used technique in controlling the parallel converters. The major limitations of the conventional droop control technique are circulating current issues and improper load sharing. The proposed work is to resolve these issues by integrating Sliding Mode Controller (SMC) with the converter in order to enhance the performance of DC microgrid. The entire control system was designed by taking the output voltage error as the control variables. Similarly, droop control with PI and PID were also performed and all these techniques were simulated and compared using MATLAB/Simulink. The experimental results show that the proposed sliding mode controller technique provides good overall performance and is suitable against variable voltage and load changes.

Publisher

Institute of Advanced Engineering and Science

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. An enhanced consensus-based distributed secondary control for voltage regulation and proper current sharing in a DC islanded microgrid;Frontiers in Energy Research;2023-11-29

2. Distributed Cooperative Secondary Control for Critical Bus Voltage Regulation;2023 IEEE International Conference on Environment and Electrical Engineering and 2023 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe);2023-06-06

3. Improved Boost Converter by Utilizing Sliding Mode Control; Comparative Study;2022 International Conference on Electrical and Computing Technologies and Applications (ICECTA);2022-11-23

4. Efficient maximum power point tracker based on neural network and sliding-mode control for buck converters;Clean Energy;2022-09-13

5. Nonlinear Robust Voltage Regulation and Balanced Demand Response of an Islanded DC Microgrid;2021 11th Smart Grid Conference (SGC);2021-12-07

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