Optimal Energy Management of Parking Lots in Microgrid to Reduce Operation Cost by Dynamic Parameters Lightening Search Algorithm-Reference-Cited by-同舟云学术

Optimal Energy Management of Parking Lots in Microgrid to Reduce Operation Cost by Dynamic Parameters Lightening Search Algorithm

Published:2023-11-21 Issue: Volume: Page:
ISSN:0218-1266
Container-title:Journal of Circuits, Systems and Computers
language:en
Short-container-title:J CIRCUIT SYST COMP

Author:

Lamouki Hamid Ghobadi¹^ORCID,Shokouhandeh Hassan²^ORCID,Kamarposhti Mehrdad Ahmadi³^ORCID,Matankolaei Fariba Asghari⁴^ORCID,Padmanaban Sanjeevikumar⁵^ORCID,Kang Sun-Kyoung⁶^ORCID,Colak Ilhami⁷^ORCID

Affiliation:

1. Department of Electrical Engineering, Ghaemshahr Branch, Islamic Azad University, Ghaemshahr, Iran

2. Department of Electrical Engineering, Semnan University, Semnan, Iran

3. Department of Electrical Engineering, Jouybar Branch, Islamic Azad University, Jouybar, Iran

4. Department of Electrical Engineering, Ilam Branch, Islamic Azad University, Ilam, Iran

5. Department of Electrical Engineering, IT & Cybernetics, University of South-Eastern Norway, Porsgrunn, Norway

6. Department of Computer Software Engineering, Wonkwang University, Chonbuk, Republic of Korea

7. Department of Electrical and Electronics Engineering, Faculty of Engineering and Architectures, Nisantasi University, Istanbul, Turkey

Abstract

In this paper, a dynamic parameters lightning search algorithm (DP-LSA) is proposed for optimal operation management of electric vehicle (EV) parking lots (PLs) and distributed generations (DGs) in a microgrid (MG). The MG comprises distributed generation sources such as diesel generators and fuel cells. The batteries of electric vehicles parked in the PL are also used for energy storage. A proposed objective function combines operating, maintenance, and replacement costs, considering inflation, motivation, and annual growth. Simulations are done in two scenarios, and the proposed algorithm results are compared with particle swarm optimization (PSO) algorithm results. Simulation results prove the better performance of the proposed LSA algorithm than the PSO algorithm in reducing the microgrid operation cost.

Funder

This paper was supported by Wonkwang University in 2023.

Publisher

World Scientific Pub Co Pte Ltd

Subject

Electrical and Electronic Engineering,Hardware and Architecture,Electrical and Electronic Engineering,Hardware and Architecture

Link

https://www.worldscientific.com/doi/pdf/10.1142/S0218126624501354