Optimizing power and energy loss reduction in distribution systems with RDGs, DSVCs and EVCS under different weather scenarios

IF 7.1 2区工程技术 Q1 ENERGY & FUELS

Sustainable Energy Technologies and Assessments Pub Date : 2025-01-31 DOI:10.1016/j.seta.2025.104219

Chava Hari Babu , Hariharan Raju , Yuvaraj Thangaraj , Sudhakar Babu Thanikanti , Benedetto Nastasi

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引用次数: 0

Abstract

Electric power grids are increasingly vulnerable to disruptions from extreme weather events, resulting in prolonged outages. The rise of electric vehicles (EVs) offers benefits like improved sustainability and reduced maintenance but also introduces challenges such as voltage instability and higher power losses when integrated into radial distribution systems (RDS). This study proposes an approach that integrates electric vehicle charging stations (EVCSs), distribution static VAR compensators (DSVCs), and renewable energy sources (RESs) like solar and wind into RDS, supporting both grid-to-vehicle (G2V) and vehicle-to-grid (V2G) modes to enhance flexibility and resilience. The study aims to reduce power losses under normal conditions and minimize energy not delivered (END) during fault conditions, evaluated under different weather scenarios. The spotted hyena optimizer algorithm (SHOA) and genetic algorithm (GA) are employed to optimize RDG, DSVC, and EVCS locations and capacities. Tests on the IEEE 34-bus RDS show SHOA achieves a 25 % reduction in power losses, improving system resilience and outperforming GA in both power and energy loss reduction.

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来源期刊

Sustainable Energy Technologies and Assessments Energy-Renewable Energy, Sustainability and the Environment

CiteScore

12.70

自引率

12.50%

发文量

1091

期刊介绍： Encouraging a transition to a sustainable energy future is imperative for our world. Technologies that enable this shift in various sectors like transportation, heating, and power systems are of utmost importance. Sustainable Energy Technologies and Assessments welcomes papers focusing on a range of aspects and levels of technological advancements in energy generation and utilization. The aim is to reduce the negative environmental impact associated with energy production and consumption, spanning from laboratory experiments to real-world applications in the commercial sector.