Multi-objective Planning of Renewables to Optimize Hosting Capacity and Voltage Deviation Index in Distribution System with Electric Vehicles

Increasing penetration of renewable energy sources (RES) in distribution system makes it imperative to evaluate the hosting capacity (HC) of distribution system. HC is defined as the maximum amount of distributed generation (DG) that a distribution system can accommodate without effecting its reliability and voltage quality. To this end, a multi-objective stochastic framework for enhancing penetration of wind-based and solar photovoltaic DG in distribution system is presented. Further, distribution system is considered to be integrated with controllable electric vehicles (EVs). The proposed multi-objective framework considers two conflicting objectives namely maximizing HC and minimizing voltage deviation index (VDI). The weighted sum method is used to solve multi-objective formulation. The efficacy of proposed model is validated on real-life 108 Indian distribution system with different penetration of EVs. Simulation results highlight the competence of mul-objective formulation to evaluate HC.

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Publication Details

Published
2024-12-10
DOI
https://doi.org/10.1109/piicon63519.2024.10995172
Primary Topic
Electric Vehicles and Infrastructure
Type
article
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article

Multi-objective Planning of Renewables to Optimize Hosting Capacity and Voltage Deviation Index in Distribution System with Electric Vehicles

Rajive Tiwari, Tanuj Rawat, Jyotsna G. Singh, Neeraj Kanwar
Electric Vehicles and Infrastructure
article

Multi-objective Planning of Renewables to Optimize Hosting Capacity and Voltage Deviation Index in Distribution System with Electric Vehicles

Rajive Tiwari, Tanuj Rawat, Jyotsna G. Singh, Neeraj Kanwar
article en

Abstract

Increasing penetration of renewable energy sources (RES) in distribution system makes it imperative to evaluate the hosting capacity (HC) of distribution system. HC is defined as the maximum amount of distributed generation (DG) that a distribution system can accommodate without effecting its reliability and voltage quality. To this end, a multi-objective stochastic framework for enhancing penetration of wind-based and solar photovoltaic DG in distribution system is presented. Further, distribution system is considered to be integrated with controllable electric vehicles (EVs). The proposed multi-objective framework considers two conflicting objectives namely maximizing HC and minimizing voltage deviation index (VDI). The weighted sum method is used to solve multi-objective formulation. The efficacy of proposed model is validated on real-life 108 Indian distribution system with different penetration of EVs. Simulation results highlight the competence of mul-objective formulation to evaluate HC.

Banasthali University (IN), Manipal University Jaipur, Malaviya National Institute of Technology Jaipur (IN)
Affordable and clean energy
Openalex Percentile: Top 72%
Electric Vehicles and Infrastructure
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Multi-objective Planning of Renewables to Optimize Hosting Capacity and Voltage Deviation Index in Distribution System with Electric Vehicles — Rajive Tiwari, Tanuj Rawat, et al. · (2024) | TGRS Research Map | TGRS