Cited by 384Electric Vehicles and InfrastructureSmart Grid Energy ManagementOptimal Power Flow Distribution

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Hybrid Optimization for Economic Deployment of ESS in PV-Integrated EV Charging Stations

Chaudhari, Kalpesh, Ukil, Abhisek, Kumar, K Nandha, Manandhar, Ujjal, Kollimalla, Sathish Kumar·2018·IEEE Transactions on Industrial Informatics

DOI 10.1109/tii.2017.2713481

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Abstract

Electric vehicle (EV) charging stations will play an important role in the smart city. Uncoordinated and statistical EV charging loads would further stress the distribution system. Photovoltaic (PV) systems, which can reduce this stress, also show variation due to weather conditions. In this paper, a hybrid optimization algorithm for energy storage management is proposed, which shifts its mode of operation between the deterministic and rule-based approaches depending on the electricity price band allocation. The cost degradation model of the energy storage system (ESS) along with the levelized cost of PV power is used in the case of EV charging stations. The algorithm comprises of three parts: categorization of real-time electricity price in different price bands, real-time calculation of PV power from solar irradiation data, and optimization for minimizing the operating cost of EV charging station integrated with PV and ESS. An extensive simulation study is carried out with an uncoordinated and statistical EV charging model in the context of Singapore to check effectiveness of this algorithm. Furthermore, detailed analysis of subsidy and incentive to be given by the government agencies for higher penetration of renewable energy is also presented. This work would aid in planning of adoption of PV-integrated EV charging stations, which would expectedly replace traditional gas stations in future.

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“authors of [18] describe maximizing the power delivery without adding burden to the existing grid.”
Background
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2017, Solar irradiation data
2015, LTA Singapore land transport Statistics in brief
2014, Solar Photovoltaic (PV) Roadmap for Singapore
2011, Vehicle parking provision
2017, W E Price Price information
2016, Paris Agreement
2016, Climate action plan Take action today for a sustainable future

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Authors: Chaudhari, K., Ukil, A., Kumar, K. N., Manandhar, U., & Kollimalla, S. K.
Affiliations: Nanyang Technological University (SG)
ORCID: Chaudhari, Kalpesh
Ukil, Abhisek
Manandhar, Ujjal
Venue: IEEE Transactions on Industrial Informatics
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Published: 2018-01
Volume: 14
Issue: 1
Pages: 106-116
ISSN: 1551-3203 (ISSN-L)
1941-0050
DOI: 10.1109/tii.2017.2713481
OpenAlex: W2624310090
Cited by: 384
References: 30
Citations by year: 2026: 14 · 2025: 40 · 2024: 56 · 2023: 59 · 2022: 65 · 2021: 49 · 2020: 40 · 2019: 36 · 2018: 24
FWCI: 11.49
Type: journal article
Language: en
Open access: closed
Licence: ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html (vor)
Locations: IEEE Transactions on Industrial Informatics (publishedVersion)
Funders: Energy Innovation Program Office
National Research Foundation and Singapore Energy Market Authority (NRF2014EWT-EIRP002-005)
Topics: Physical Sciences › Engineering › Electrical and Electronic Engineering › Electric Vehicles and Infrastructure
Physical Sciences › Engineering › Electrical and Electronic Engineering › Smart Grid Energy Management
Physical Sciences › Engineering › Electrical and Electronic Engineering › Optimal Power Flow Distribution
Keywords: electric vehicle charging stations, photovoltaic integration, energy storage management, hybrid optimization algorithm, solar irradiation, operational cost reduction

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Hybrid Optimization for Economic Deployment of ESS in PV-Integrated EV Charging Stations

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