Optimal Allocation of Hybrid Renewable Energy System in Distribution Network using Arithmetic Optimization Algorithm

Author:

Rathore Arun1,Kumar Anupam1ORCID,Shukla Sunil Kumar2,Patidar Narayan Prasad3

Affiliation:

1. Department of Electrical and Electronics Engineering, IES College of Technology, Bhopal, India

2. Department of Information Technology, Madhav Institute of Technology and Sciences, Gwalior, India

3. Department of Electrical Engineering, Maulana Azad National Institute of Technology, Bhopal, India

Abstract

The main focus of this article is the optimal allocation of wind turbines, solar PV and storage in 33 bus radial distribution system. The arithmetic optimization algorithm (AOA) was employed in this work for the optimal sizing of wind turbine and solar PV units with batteries in 33 bus distribution networks. The 1 year period is divided into multiple time segments, and each time segment is evaluated independently. For each time slot solar irradiance and wind speed are generated using suitable probability distribution function. Sensitivity analysis was done to find potential buses that might be placed to reduce computation time and search space. The Backward-Forward sweep technique was used to conduct load flow analysis. For the sake of stability, a reasonable penetration level is selected. The overall energy loss is minimized by the AOA optimization method under equality and inequality constraints. The suggested technique was tested on 33 buses, and it was observed that correct sizing and placement of DG units results in a significant decrease in losses with improved voltage profile.

Publisher

SAGE Publications

Subject

Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Photovoltaic unit allocation in synchronverter-integrated microgrids;2023 6th International Conference on Electrical Information and Communication Technology (EICT);2023-12-07

2. Advancements in arithmetic optimization algorithm: theoretical foundations, variants, and applications;Multimedia Tools and Applications;2023-10-02

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