K.Manikanteswar
P.Krupakiran
Chadalawada Hareesh
Chilukuru Lakshmiprasanna
Devanki Syamaleela
Ganta Lakshmi Devi
- Associate Professor Department of EEE, Indira Institute of Technology & Sciences Andhra Pradesh India
- Assistant Professor Department of EEE, Indira Institute of Technology & Sciences Andhra Pradesh India
- Student Department of EEE, Indira Institute of Technology & Sciences Andhra Pradesh India
- Student Department of EEE, Indira Institute of Technology & Sciences Andhra Pradesh India
- Student Department of EEE, Indira Institute of Technology & Sciences Andhra Pradesh India
- Student Department of EEE, Indira Institute of Technology & Sciences Andhra Pradesh India
Abstract
As the integration of renewable energy sources into current power grids has become a crucial task as the world moves towards a more sustainable energy future. In order to effectively convert, control, and manage electrical energy from diverse sources, power electronics is essential to overcoming this difficulty. This research paper delves into the advancements in power electronics technologies for renewable energy integration, focusing on cutting-edge topologies, control strategies, and applications. The paper explores the latest developments in power converter architectures, modulation techniques, and control algorithms that enhance the performance, efficiency, and reliability of renewable energy systems. Additionally, it examines the challenges associated with grid integration, such as power quality, stability, and protection, and discusses innovative solutions offered by power electronics. The ultimate goal is to provide a comprehensive understanding of the state-of-the-art in power electronics for renewable energy integration, paving the way for more efficient and reliable renewable energy systems.
Keywords: Power electronics, renewable energy, grid integration, power converters, control strategies, energy efficiency, power quality.
[This article belongs to Journal of Nanoscience, NanoEngineering & Applications(jonsnea)]
References
1. Kadhum H, Hussein M, et al. Model Predictive Control of a Modular Multilevel Converter with Reduced Computational Burden. Energies. 2024;17(11):2519.
2. Ao D, Wong PK, Huang W. Model predictive control allocation based on adaptive sliding mode control strategy for enhancing the lateral stability of four-wheel-drive electric vehicles. Proc Inst Mech Eng Part D J Automob Eng. 2024;238(6):1514-1534.
3. Selma B, et al. Improved performance and robustness of synchronous reluctance machine control using an advanced sliding mode and direct vector control. Adv Control Appl Eng Ind Syst. 2024;6(1):e178.
4. Pal R, Gupta S. Topologies and control strategies implicated in dynamic voltage restorer (DVR) for power quality improvement. Iranian Journal of Science and Technology, Transactions of Electrical Engineering. 2020 Jun;44:581-603.
5. Choudhury S, Sahoo GK. A Critical Analysis of Different Power Quality Improvement Techniques in Microgrid. e-Prime-Advances in Electrical Engineering, Electronics and Energy. 2024:100520.
6. Smith C, Gargoom A, Arif MT, Haque ME. Control Techniques for Grid Forming Inverters: A Comparative Analysis. In2022 IEEE Industry Applications Society Annual Meeting (IAS) 2022 Oct 9 (pp. 1-9). IEEE..
7. Meng J, Guo Q, Lin J, Yue M, Diallo D. Application of H∞-optimal controllers for battery-based bidirectional DC/DC converters in hybrid energy storage systems. International Journal of Electrical Power & Energy Systems. 2024 Aug 1;159:110044..
8. Eswaran U. Integrating renewable energy sources into existing energy systems for achieving a low-carbon energy transition. In: Sustainable Science and Intelligent Technologies for Societal Development. IGI Global; 2023. p. xx-xx. DOI: 10.4018/979-8-3693-1186-8.ch015.
9. Kumar M, Hote YV, Siddhartha V. Analysis and application of a polynomial controller design for non-ideal dc-dc buck converter (part i). In2020 IEEE International Conference on Power Electronics, Smart Grid and Renewable Energy (PESGRE2020) 2020 Jan 2 (pp. 1-6). IEEE.10. Clavijo-Camacho J, et al. A modular IGBT power stack− based and open hardware framework for small wind turbines assessment. Sustain Energy Technol Assess. 2024;66:103804.
11. Mattoo BA, Bhat AH. Gamma Modulation Based Three-Phase Two-Level Voltage Source Inverter For Reduced Switching Losses With Dynamic Load Changes. Arab J Sci Eng. 2024;49(5):6445-6457.
12. Gangikunta M, et al. Voltage Source Converter based High Voltage Direct Current Transmission: A Comprehensive Review of Control Strategies, Developments and Trends. E3S Web of Conferences. 2024;529:01002.
13. Sousa RO, et al. Control tuning methodology for modular multilevel converter‐based STATCOM. Int J Circuit Theory Appl. 2024;52(5):2493-2515.
14. Upamanyu K, Narayanan G. Simplified grid emulator for testing grid-connected power electronic converters. In2020 IEEE International Conference on Power Electronics, Smart Grid and Renewable Energy (PESGRE2020) 2020 Jan 2 (pp. 1-6). IEEE.
15. Patwary AK, et al. A Review of Energy Storage Systems (ESS) for Integrating Renewable Energies in Microgrids. Control Syst Optim Lett. 2024;2(1):103-112.
16. Sudharshan VB, et al. Human like biosensor disease simulator, disease analyzer and drug delivery system. In: 2013 IEEE Conference on Information and Communication Technologies, ICT 2013. 2013. p. 1033–1038.
17. Madhavilatha M, et al. Design and analysis of nanowire sensor array for prostate cancer detection. Int J Nano Biomater. 2011;3(3):239–255.
18. Eswaran U, et al. Augmented Reality (AR) and Virtual Reality (VR) Technologies in Surgical Operating Systems. In: AI and IoT Technology and Applications for Smart Healthcare Systems. 2024. p. 113–129.
19. Khang A, et al. Artificial Intelligence (AI)-Aided Computer Vision (CV) in Healthcare System. In: Computer Vision and AI-Integrated IoT Technologies in the Medical Ecosystem. 2024. p. 125–137.
20. Abaku EA, Edunjobi TE, Odimarha AC. Theoretical approaches to AI in supply chain optimization: Pathways to efficiency and resilience. Int J Sci Technol Res Arch. 2024;6(1):092-107.
Journal of Nanoscience, NanoEngineering & Applications
| Volume | 14 |
| Issue | 01 |
| Received | June 3, 2024 |
| Accepted | June 13, 2024 |
| Published | June 18, 2024 |
