Integration of Solar PV Units and FACTS Devices in Multi-Machine Power System

Articles in Press

Document Type : Original Article

Authors

1 Faculty of Engineering

2 Electrical engineer at Arab Contractor Company, Egypt

3 Department of Electrical Engineering, Faculty of Engineering, Menoufia University, Shebin El-Kom, Egypt

4 Electrical engineering, faculty of engineering, Minoufia university, Shibin El-kom, Minoufia

Abstract

By 2050, zero emission is an environmental target. Significant development in photovoltaic (PVs) deployment is essential, requiring continued government support. PVs have played a crucial role in reducing CO2 emissions from power generation, with over 75% of new renewable capacity added in 2023 coming from PV units, contributing to nearly 60% of new renewable generation. Renewable energy Sources (RES), particularly PVs, is used to reduce emissions of greenhouse gases. PVs systems offer advantages such as static operation, easy installation, and quick deployment compared to other renewable sources. On the contrary, PVs is inertia less system and to avoid its negative impacts, proper installations allocation of PVs units is crucial study. In addition, coordination between PVs units and FACTS devices is a critical area in the field of electrical power engineering optimization. This study used both of Particle Swarm Optimization (PSO) and Artificial Rabbit Optimization (ARO) for this multivariate optimization problem by considering IEEE 30-bus system. The simulation produced the following noteworthy findings: The results also demonstrate that the ARO algorithm is more effective than the PSO strategy in resolving the PVs and UPFC placement and sizing issues, the position and size of PVs have a significant impact on power systems' performance, UPFC and ARO-based PVs enhance the stability margin, reduce active and reactive power losses, improve the bus voltage profile, and enhance the overall dynamic performance of the systems under discussion.

Keywords

ERJ. Engineering Research Journal

Articles in Press, Accepted Manuscript
Available Online from 26 June 2025

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