Electric Vehicles and Storage Systems Integrated within a Sustainable Urban District Fed by Solar Energy

Bracco, Stefano; Delfino, Federico; Longo, Michela; Siri, Silvia

doi:10.1155/2019/9572746

Cited by 12 publications

(4 citation statements)

References 37 publications

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“…However, the focus was to minimise the charging process's carbon emissions and maximise local energy production using first-life and second-life batteries. A similar approach was taken by Bracco et al [54], where instead of investigating second-life batteries, V2G was incorporated with the stationary BESSs. A method for coordinated control of multiple BESSs located at various charging parks was presented by Kucevic et al [37].…”

Section: Existing Grid-impact Simulatorsmentioning

confidence: 99%

Using Solar PV and Stationary Storage to Buffer the Impact of Electric Minibus Charging in Grid-Constrained Sub-Saharan Africa

Giliomee,

Pretorius,

Füßl

et al. 2024

Energies

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Despite the unstoppable global drive towards electric mobility, the electrification of sub-Saharan Africa’s ubiquitous informal multi-passenger minibus taxis raises substantial concerns. This is due to a constrained electricity system, both in terms of generation capacity and distribution networks. Without careful planning and mitigation, the additional load of charging hundreds of thousands of electric minibus taxis during peak demand times could prove catastrophic. This paper assesses the impact of charging 202 of these taxis in Johannesburg, South Africa. The potential of using external stationary battery storage and solar PV generation is assessed to reduce both peak grid demand and total energy drawn from the grid. With the addition of stationary battery storage of an equivalent of 60 kWh/taxi and a solar plant of an equivalent of 9.45 kWpk/taxi, the grid load impact is reduced by 66%, from 12 kW/taxi to 4 kW/taxi, and the daily grid energy by 58% from 87 kWh/taxi to 47 kWh/taxi. The country’s dependence on coal to generate electricity, including the solar PV supply, also reduces greenhouse gas emissions by 58%.

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Section: Existing Grid-impact Simulatorsmentioning

confidence: 99%

Using Solar PV and Stationary Storage to Buffer the Impact of Electric Minibus Charging in Grid-Constrained Sub-Saharan Africa

Giliomee,

Pretorius,

Füßl

et al. 2024

Energies

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“…An energy scheduling with the priority given to the islanded operation among microgrids was conducted in [ 42 ]. An optimization model of a solar-fed microgrid integrated EVs was conducted in [ 43 ]. In [ 44 ], a stochastic Stackelberg game was conducted whereby EVs were integrated.…”

Section: Introductionmentioning

confidence: 99%

Heuristic Greedy Scheduling of Electric Vehicles in Vehicle-to-Grid Microgrid Owned Aggregators

Abdel-Hakim

Abo‐Elyousr

2022

Sensors

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In on-grid microgrids, electric vehicles (EVs) have to be efficiently scheduled for cost-effective electricity consumption and network operation. The stochastic nature of the involved parameters along with their large number and correlations make such scheduling a challenging task. This paper aims at identifying pertinent innovative solutions for reducing the relevant total costs of the on-grid EVs within hybrid microgrids. To optimally scale the EVs, a heuristic greedy approach is considered. Unlike most existing scheduling methodologies in the literature, the proposed greedy scheduler is model-free, training-free, and yet efficient. The proposed approach considers different factors such as the electricity price, on-grid EVs state of arrival and departure, and the total revenue to meet the load demands. The greedy-based approach behaves satisfactorily in terms of fulfilling its objective for the hybrid microgrid system, which is established of photovoltaic, wind turbine, and a local utility grid. Meanwhile, the on-grid EVs are being utilized as an energy storage exchange location. A real time hardware-in-the-loop experimentation is comprehensively conducted to maximize the earned profit. Through different uncertainty scenarios, the ability of the proposed greedy approach to obtain a global optimal solution is assessed. A data simulator was developed for the purposes of generating evaluation datasets, which captures uncertainties in the behaviors of the system’s parameters. The greedy-based strategy is considered applicable, scalable, and efficient in terms of total operating expenditures. Furthermore, as EVs penetration became more versatile, total expenses decreased significantly. Using simulated data of an effective operational duration of 500 years, the proposed approach succeeded in cutting down the energy consumption costs by about 50–85%, beating existing state-of-the-arts results. The proposed approach is proved to be tolerant to the large amounts of uncertainties that are involved in the system’s operational data.

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“…For this issue, some researchers proposed a considerable solution by introducing electric vehicles (EVs) as mobile storages to assist BSs via Vehicle-to-Grid (V2G) technology [25]. The effectiveness of EVs as mobile storages in integrated energy systems has been investigated in [26]. Another possible direction to solve the problem is to explore the utilization of the dispatchable capacity of the backup storage during off-peak periods.…”

Section: Introductionmentioning

confidence: 99%

Cooperative Planning of Distributed Renewable Energy Assisted 5G Base Station With Battery Swapping System

Liu¹,

Bie

2021

IEEE Access

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The surging electricity consumption and energy cost have become a primary concern in the planning of the upcoming 5G systems. The integration of distributed renewable energy sources (RESs), such as solar and wind, is considered to be a viable solution for cutting energy bills and greenhouse gas(GHG) emissions of 5G base stations(BSs). Meanwhile, battery swapping(BSW) service for Electric two-wheelers (E2Ws) is a burgeoning method to address the issue of E2Ws refueling in urban areas. The authors spotted potentials in the integration and cooperation of 5G BSs, distributed RES generations, and BSW systems for E2Ws. This paper proposes a simulation-based optimization framework for cooperative planning of the integrated system of 5G BS, RES generations, and BSW systems. A multi-paradigm simulation model is presented to mimic all the heterogeneous components contained in the integrated system, as well as their complex interconnections, and to take the involved uncertainties and distributive characteristics into account. Then an optimization model is developed based on the presented simulation model under different scenarios, to minimize the comprehensive annualized expense, with consideration of all the operation and planning constraints of the integrated system. Finally, the proposed simulation-based optimization framework is applied to practical cases under different scenarios. Numerical results and comparison analysis reveal how the integration of RES generations and BSW systems benefit 5G BS in expense cutting and RES accommodating.

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Electric Vehicles and Storage Systems Integrated within a Sustainable Urban District Fed by Solar Energy

Cited by 12 publications

References 37 publications

Using Solar PV and Stationary Storage to Buffer the Impact of Electric Minibus Charging in Grid-Constrained Sub-Saharan Africa

Using Solar PV and Stationary Storage to Buffer the Impact of Electric Minibus Charging in Grid-Constrained Sub-Saharan Africa

Heuristic Greedy Scheduling of Electric Vehicles in Vehicle-to-Grid Microgrid Owned Aggregators

Cooperative Planning of Distributed Renewable Energy Assisted 5G Base Station With Battery Swapping System

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