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Sustainable Environment
An international journal of environmental health and sustainability
Volume 8, 2022 - Issue 1
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ENVIRONMENTAL MANAGEMENT & CONSERVATION

Impacts of residential energy storage system modeling on power system

, , , ORCID Icon & ORCID Icon | (Reviewing editor:)
Article: 2125905 | Received 06 Apr 2022, Accepted 11 Sep 2022, Published online: 27 Sep 2022
 

ABSTRACT

Power system reliability can be improved with the use of energy storage. Energy storage technologies are examined critically, including storage kinds, categorizations, and comparisons. Electrochemical and battery energy storage, thermal and thermochemical energy storage, flywheel energy storage, compressed air energy storage, pumped energy storage, magnetic energy storage, chemical and hydrogen energy storage are all taken into account. The recent research on novel energy storage kinds and its significant achievements and discoveries in energy storage are analyzed. It is the goal of this study to undertake a complete and systematic evaluation of the influence of battery energy storage systems (BESS) on power systems and microgrids. Peer-reviewed studies published between 2010 and the start of 2021 provides the basis of the SLR (Systematic Literature Review). Due to inadequate wind or sunlight, renewable energy sources (RESs) like wind and solar are regularly subjected to swings. Energy storage technologies (ESTs) help to solve the issue by storing extra energy and making it available when it’s needed. Despite the fact that there are several EST investigations, the literature is fragmented and out of date. The comparison of EST features and applications is very brief. The purpose of this article is to fill that void. It identifies major ESTs and offers an updated overview of the literature on ESTs and their potential use in the renewable energy industry, based on a set of criteria. The critical analysis reveals that Li-ion batteries have a high potential applicability in the utility grid integration sector and are BESS suited to alleviate RES volatility. However, Li-ion batteries’ costs must be decreased in order for them to be completely utilized in RES utility grid integration. It has long been shown to improve system dependability and reduce transmission costs by introducing energy storage into power networks. The development of energy storage devices is aided by regulations that promote the use of renewable energy sources rather than fossil fuels. There are also voids in this field of research. To help academics better grasp the dependability implications of energy storage systems and fill in knowledge gaps in the field, this review is available. Reduced emissions and global warming as a result of the increased usage of renewable energy resources In terms of renewable energy, wind turbines and solar PV systems are two of the most common. In contrast, the advantages and downsides of using renewable energy sources are numerous. Renewable energy’s biggest flaw is its inability to generate consistent amounts of power. It is difficult to maintain a balance between generation and demand due to the irregularity of renewable energy sources’ power output and the sudden spikes or dips in demand. Consequently, there will be deviations in grid voltage and frequency, leading to operational difficulties and perhaps jeopardizing grid stability. Battery energy storage systems (BESS) can be used to regulate the output of renewable energy sources and keep the grid stable.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

The authors received no direct funding for this research.

Notes on contributors

Sushita K

K Sushita did her BE degree from Goa University, Goa, India and ME Degree from PSG College of Technology, Anna University, Chennai, India. She is working as assistant professor in the Department of Electrical and Electronics Engineering, Vels Institute of Science, Technology &Advanced Studies (VISTAS), Tamilnadu, India. Her field of interest includes electric vehicle control and charging, neural networks and fuzzy logic control, motor drive, and power converter. She can be contacted at email:[email protected].

Shanmugasundaram N

N Shanmugasundaram received his BE in Electrical and Electronics Engineering from Anna University, Chennai, India. He did ME in Power Electronics and Industrial Drives from Sathyabama University, Chennai, India and PhD in Electrical Engineering from Anna University Chennai, Tamilnadu, India. He is working as an associate professor in the Department of Electrical and Electronics Engineering, Vels Institute of Science, Technology and Advanced Studies (VISTAS), Tamil Nadu, India. His field of interest includes electrical machines and control, electric vehicle control and charging, power converters and power cable modeling. He can be contacted at email:[email protected]

Kannadhasan Suriyan

Suriyan Kannadhasan is working as an Assistant Professor in the department of Electronics and Communication Engineering in Study World College of Engineering, Coimbatore, Tamilnadu, India. He is Completed the Ph.D in the field of Smart Antenna for Anna University in 2022. He is Twelve years of teaching and research experience. He obtained his B.E in ECE from Sethu Institute of Technology, Kariapatti in 2009 and M.E in Communication Systems from Velammal College of Engineering and Technology, Madurai in 2013. He obtained his M.B.A in Human Resources Management from Tamilnadu Open University, Chennai. He has published around 45 papers in the reputed indexed international journals indexed by SCI, Scopus, Web of science, Major indexing and more than 146 papers presented/published in national, international journal and conferences. Besides he has contributed a book chapter also. He also serves as a board member, reviewer, speaker, session chair, advisory and technical committee of various colleges and conferences. He is also to attend the various workshop, seminar, conferences, faculty development programme, STTP and Online courses. His areas of interest are Smart Antennas, Digital Signal Processing, Wireless Communication, Wireless Networks, Embedded System, Network Security, Optical Communication, Microwave Antennas, Electromagnetic Compatability and Interference, Wireless Sensor Networks, Digital Image Processing, Satellite Communication, Cognitive Radio Design and Soft Computing techniques. He is Member of IEEE, ISTE, IEI, IETE, CSI, IAENG, SEEE, IEAE, INSC, IARDO, ISRPM, IACSIT, ICSES, SPG, SDIWC, IJSPR and EAI Community.

Nagarajan R

R Nagarajan received his B.E. in Electrical and Electronics Engineering from Madurai Kamarajar University, Madurai, India, in 1997. He received his M.E. in Power Electronics and Drives from Anna University, Chennai, India, in 2008. He received his Ph.D in Electrical Engineering from Anna University, Chennai, India, in 2014. He has worked in the industry as an Electrical Engineer. He is currently working as Professor of Electrical and Electronics Engineering at Gnanamani College of Technology, Namakkal, Tamilnadu, India. His current research interest includes Power Electronics, Power System, Soft Computing Techniques and Renewable Energy Sources.

Kanagaraj Venusamy

Kanagaraj Venusamy is an Assistant Professor at Rajalakshmi Engineering College in Chennai, Tamilnadu, India. He obtained his undergraduate degree in Electronics and Communication Engineering (2005). He has received his Master of Business Administration in Production Management from Manonmanium Sundaranar University in 2011. He received a Master of Engineering in Mechatronics from Anna University affiliated College-Rajas college in 2019. His main area of awareness is Robotics, Drone, Industrial automation, Artificial Intelligence, Internet of Things, Embedded System, Entrepreneurship and Human Resource Development. He had a ten years of teaching experience in reputed academic Institution in India and Sultanate of Oman. He has technically assisted in various academic Projects, Robotics International Competition, TRC-Oman funded Projects. He acted as Course facilitator in numerous short term course and Workshop which is organized by IEEE-UTAS-Al mussanah. His team won GCC level and national level Robotics competition in the year of 2017,2018 and 2019. He has published journals, book chapter and Conferences in high indexed platform. He has conducted various technical workshop in online mode in the following area Robotics, Embedded system, Drone and Machine Learning during pandemic period (2020-2021).