Soft Computing in Smart Grid with Decentralized Generation and Renewable Energy Storage System Planning

Rasheed Abdulkader, Hayder M. A. Ghanimi, Pankaj Dadheech, Meshal Alharbi, Walid El-Shafai, Mostafa M. Fouda, Moustafa H. Aly, Dhivya Swaminathan and Sudhakar Sengan
Additional contact information
Rasheed Abdulkader: Electrical Engineering Department, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh 11564, Saudi Arabia
Hayder M. A. Ghanimi: Biomedical Engineering Department, College of Engineering, University of Warith Al-Anbiyaa, Karbala 56001, Iraq
Pankaj Dadheech: Department of Computer Science & Engineering, Swami Keshvan and Institute of Technology, Management & Gramothan (SKIT), Jaipur 302017, Rajasthan, India
Meshal Alharbi: Department of Computer Science, College of Computer Engineering and Sciences, Prince Sattam Bin Abdulaziz University, Alkharj 11942, Saudi Arabia
Walid El-Shafai: Security Engineering Lab, Computer Science Department, Prince Sultan University, Riyadh 11586, Saudi Arabia
Mostafa M. Fouda: Department of Electrical and Computer Engineering, College of Science and Engineering, Idaho State University, Pocatello, ID 83209, USA
Moustafa H. Aly: Electronics and Communications Engineering Department, College of Engineering and Technology, Arab Academy for Science, Technology and Maritime Transport, Alexandria 21500, Egypt
Dhivya Swaminathan: School of Electrical Engineering, Vellore Institute of Technology, Chennai 600127, Tamil Nadu, India
Sudhakar Sengan: Department of Computer Science and Engineering, PSN College of Engineering and Technology, Tirunelveli 627152, Tamil Nadu, India

Energies, 2023, vol. 16, issue 6, 1-24

Abstract: Distributed Power Generation and Energy Storage Systems (DPG-ESSs) are crucial to securing a local energy source. Both entities could enhance the operation of Smart Grids (SGs) by reducing Power Loss (PL), maintaining the voltage profile, and increasing Renewable Energy (RE) as a clean alternative to fossil fuel. However, determining the optimum size and location of different methodologies of DPG-ESS in the SG is essential to obtaining the most benefits and avoiding any negative impacts such as Quality of Power (QoP) and voltage fluctuation issues. This paper’s goal is to conduct comprehensive empirical studies and evaluate the best size and location for DPG-ESS in order to find out what problems it causes for SG modernization. Therefore, this paper presents explicit knowledge of decentralized power generation in SG based on integrating the DPG-ESS in terms of size and location with the help of Metaheuristic Optimization Algorithms (MOAs). This research also reviews rationalized cost-benefit considerations such as reliability, sensitivity, and security studies for Distribution Network (DN) planning. In order to determine results, various proposed works with algorithms and objectives are discussed. Other soft computing methods are also defined, and a comparison is drawn between many approaches adopted in DN planning.

Keywords: Distributed Power Generation; Energy Storage System; renewable energy; Smart Grid; soft computing (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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