Soft Computing in Smart Grid with Decentralized Generation and Renewable Energy Storage System Planning-Reference-Cited by-同舟云学术

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

Published:2023-03-11 Issue:6 Volume:16 Page:2655
ISSN:1996-1073
Container-title:Energies
language:en
Short-container-title:Energies

Author:

Abdulkader Rasheed¹^ORCID,Ghanimi Hayder²^ORCID,Dadheech Pankaj³^ORCID,Alharbi Meshal⁴^ORCID,El-Shafai Walid⁵⁶^ORCID,Fouda Mostafa⁷^ORCID,Aly Moustafa⁸^ORCID,Swaminathan Dhivya⁹^ORCID,Sengan Sudhakar¹⁰^ORCID

Affiliation:

1. Electrical Engineering Department, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh 11564, Saudi Arabia

2. Biomedical Engineering Department, College of Engineering, University of Warith Al-Anbiyaa, Karbala 56001, Iraq

3. Department of Computer Science & Engineering, Swami Keshvan and Institute of Technology, Management & Gramothan (SKIT), Jaipur 302017, Rajasthan, India

4. Department of Computer Science, College of Computer Engineering and Sciences, Prince Sattam Bin Abdulaziz University, Alkharj 11942, Saudi Arabia

5. Security Engineering Lab, Computer Science Department, Prince Sultan University, Riyadh 11586, Saudi Arabia

6. Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf 32952, Egypt

7. Department of Electrical and Computer Engineering, College of Science and Engineering, Idaho State University, Pocatello, ID 83209, USA

8. Electronics and Communications Engineering Department, College of Engineering and Technology, Arab Academy for Science, Technology and Maritime Transport, Alexandria 21500, Egypt

9. School of Electrical Engineering, Vellore Institute of Technology, Chennai 600127, Tamil Nadu, India

10. Department of Computer Science and Engineering, PSN College of Engineering and Technology, Tirunelveli 627152, Tamil Nadu, India

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.

Publisher

MDPI AG

Subject

Energy (miscellaneous),Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Electrical and Electronic Engineering,Control and Optimization,Engineering (miscellaneous),Building and Construction

Link

https://www.mdpi.com/1996-1073/16/6/2655/pdf

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