Analysis of Techno–Economic and Social Impacts of Electric Vehicle Charging Ecosystem in the Distribution Network Integrated with Solar DG and DSTATCOM

Ramesh Bonela, Sriparna Roy Ghatak, Sarat Chandra Swain, Fernando Lopes (), Sharmistha Nandi, Surajit Sannigrahi and Parimal Acharjee
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Ramesh Bonela: School of Electrical Engineering, KIIT Deemed to be University, Bhubaneswar 751024, India
Sriparna Roy Ghatak: School of Electrical Engineering, KIIT Deemed to be University, Bhubaneswar 751024, India
Sarat Chandra Swain: School of Electrical Engineering, KIIT Deemed to be University, Bhubaneswar 751024, India
Fernando Lopes: National Laboratory of Energy and Geology, 1649-038 Lisbon, Portugal
Sharmistha Nandi: School of Electrical Engineering, KIIT Deemed to be University, Bhubaneswar 751024, India
Surajit Sannigrahi: Electrical Engineering Department, National Institute of Technology, Raipur 492010, India
Parimal Acharjee: Electrical Engineering Department, National Institute of Technology, Durgapur 713209, India

Energies, 2025, vol. 18, issue 2, 1-22

Abstract: In this work, a comprehensive planning framework for an electric vehicle charging ecosystem (EVCE) is developed, incorporating solar distributed generation (DG) and a distribution static compensator (DSTATCOM), to assess their long-term techno–economic and environmental impacts. The optimal locations and capacities of the EVCE, solar DG, and DSTATCOM are determined using an improved particle swarm optimization algorithm based on the success rate technique. The study aims to maximize the technical, financial, and social benefits while ensuring that all security constraints are met. To assess the financial viability of the proposed model over a 10-year horizon, a detailed economic analysis comprising installation cost, operation, and maintenance cost is conducted. To make the model more realistic, various practical parameters, such as the inflation rate and interest rate, are incorporated during the financial analysis. Additionally, to highlight the societal benefits of the approach, the study quantifies the long-term carbon emissions and the corresponding cost of emissions. The proposed framework is tested on both a 33-bus distribution network and a 108-bus Indian distribution network. Various planning scenarios are explored, with different configurations of the EVCE, solar-based DG, and DSTATCOM, to assist power system planners in selecting the most suitable strategy.

Keywords: distributed generation; distribution network; distribution static compensator; electric vehicle; optimal planning (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2025
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