scholarly journals Comparison of AC and DC Nanogrid for Office Buildings with EV Charging, PV and Battery Storage

Energies ◽  
2021 ◽  
Vol 14 (18) ◽  
pp. 5800
Author(s):  
Ilman Sulaeman ◽  
Gautham Ram Chandra Mouli ◽  
Aditya Shekhar ◽  
Pavol Bauer
Keyword(s):  
Power Management ◽  
Electric Vehicles ◽  
Energy Exchange ◽  
Office Buildings ◽  
System Response ◽  
Battery Storage ◽  
Design Choice ◽  
Three Phase ◽  
Transient System ◽  
Ev Charging

Future office buildings are expected to be integrated with energy intensive, inherently DC components such as photovoltaic panels (PV), electric vehicles (EV), LED lighting, and battery storage. This paper conceptualizes the interconnection of these components through a 750 V DC nanogrid as against a conventional three-phase 400 V AC system. The factors influencing the performance of a DC-based nanogrid are identified and a comparative analysis with respect to a conventional AC nanogrid is presented in terms of efficiency, stability, and protection. It is proved how the minimization of grid energy exchange through power management is a vital system design choice. Secondly, the trade-off between stability, protection, and cost for sizing of the DC buffer capacitors is explored. The transient system response to different fault conditions for both AC and DC nanogrid is investigated. Finally the differences between the two systems in terms of various safety aspects are highlighted.

Power management algorithm for a conservative power theory battery storage based multi‐functional three phase grid connected PV inverter

2020 ◽  
Vol 30 (11) ◽  
Author(s):  
Venkata Subrahmanya Raghavendra Var Oruganti ◽  
Venkata Samba Sesha Siva Sarma Dhanikonda ◽  
Ali Mortezaei ◽  
Tiago Davi Curi Busarello ◽  
Marcelo Godoy Simões
Keyword(s):  
Power Management ◽  
Battery Storage ◽  
Power Theory ◽  
Management Algorithm ◽  
Pv Inverter ◽  
Three Phase ◽  
Conservative Power Theory ◽  
Conservative Power

scholarly journals Impact of EV charging on the electric load of smart buildings and energy communities

2021 ◽  
Author(s):  
Edoardo Boasso
Keyword(s):  
Electric Vehicles ◽  
Energy Exchange ◽  
Storage System ◽  
Electrical Power ◽  
Electric Load ◽  
Efficient Energy ◽  
Intensive Use ◽  
Charging Stations ◽  
The Town ◽  
Ev Charging

The paper presents the sizing and profiling of charging systems for electric vehicles integrated into a smart grid in the town of Campobasso, in Molise. After having described and examined the main variables that characterize the system, the work focuses on the profiling of the electrical power absorbed by the building and the loads deriving from the charging stations of electric vehicles. The intensive use of software (especially MATLAB) and databases available online has been essential for the analysis of the random and stochastic values of the model developed. 4 different scenarios are studied, varying according to the number of charging electric vehicles. These scenarios are analyzed for three different typical days of winter, summer and mid-season. The different scenarios are compared qualitatively and quantitatively through the introduction of specific KPIs, which indicate the value of the power and the energy consumption of each specific asset, as can be seen in the results. Finally, various hypotheses are proposed regarding the integration of a storage system and the shifting of electric vehicles charges, for a more efficient energy exchange between the building and the network.

scholarly journals Impact of EV charging on the electric load of smart buildings and energy communities

2021 ◽  
Author(s):  
Edoardo Boasso
Keyword(s):  
Electric Vehicles ◽  
Energy Exchange ◽  
Storage System ◽  
Electrical Power ◽  
Electric Load ◽  
Efficient Energy ◽  
Intensive Use ◽  
Charging Stations ◽  
The Town ◽  
Ev Charging

The paper presents the sizing and profiling of charging systems for electric vehicles integrated into a smart grid in the town of Campobasso, in Molise. After having described and examined the main variables that characterize the system, the work focuses on the profiling of the electrical power absorbed by the building and the loads deriving from the charging stations of electric vehicles. The intensive use of software (especially MATLAB) and databases available online has been essential for the analysis of the random and stochastic values of the model developed. 4 different scenarios are studied, varying according to the number of charging electric vehicles. These scenarios are analyzed for three different typical days of winter, summer and mid-season. The different scenarios are compared qualitatively and quantitatively through the introduction of specific KPIs, which indicate the value of the power and the energy consumption of each specific asset, as can be seen in the results. Finally, various hypotheses are proposed regarding the integration of a storage system and the shifting of electric vehicles charges, for a more efficient energy exchange between the building and the network.

scholarly journals The Architecture Design of Electrical Vehicle Infrastructure Using Viable System Model Approach

Systems ◽  
2021 ◽  
Vol 9 (1) ◽  
pp. 19
Author(s):  
Mahdi Boucetta ◽  
Niamat Ullah Ibne Hossain ◽  
Raed Jaradat ◽  
Charles Keating ◽  
Siham Tazzit ◽  
...  
Keyword(s):  
Urban Space ◽  
Electric Vehicles ◽  
Reference Model ◽  
System Model ◽  
Ecosystem Structure ◽  
Viable System Model ◽  
Charging Station ◽  
Viable System ◽  
Station Location ◽  
Ev Charging

Exponential technological-based growth in industrialization and urbanization, and the ease of mobility that modern motorization offers have significantly transformed social structures and living standards. As a result, electric vehicles (EVs) have gained widespread popularity as a mode of sustainable transport. The increasing demand for of electric vehicles (EVs) has reduced the some of the environmental issues and urban space requirements for parking and road usage. The current body of EV literature is replete with different optimization and empirical approaches pertaining to the design and analysis of the EV ecosystem; however, probing the EV ecosystem from a management perspective has not been analyzed. To address this gap, this paper develops a systems-based framework to offer rigorous design and analysis of the EV ecosystem, with a focus on charging station location problems. The study framework includes: (1) examination of the EV charging station location problem through the lens of a systems perspective; (2) a systems view of EV ecosystem structure; and (3) development of a reference model for EV charging stations by adopting the viable system model. The paper concludes with the methodological implications and utility of the reference model to offer managerial insights for practitioners and stakeholders.

scholarly journals An Optimal Control Algorithm with Reduced DC-Bus Current Fluctuation for Multiple Charging Modes of Electric Vehicle Charging Station

2021 ◽  
Vol 12 (3) ◽  
pp. 107
Author(s):  
Tao Chen ◽  
Peng Fu ◽  
Xiaojiao Chen ◽  
Sheng Dou ◽  
Liansheng Huang ◽  
...  
Keyword(s):  
Electric Vehicle ◽  
Electric Vehicles ◽  
Control Algorithm ◽  
Current Fluctuation ◽  
Charging Station ◽  
Electric Vehicle Charging ◽  
Three Phase ◽  
Optimization Control ◽  
Dc Bus ◽  
Vehicle Charging

This paper presents a systematic structure and a control strategy for the electric vehicle charging station. The system uses a three-phase three-level neutral point clamped (NPC) rectifier to drive multiple three-phase three-level NPC converters to provide electric energy for electric vehicles. This topology can realize the single-phase AC mode, three-phase AC mode, and DC mode by adding some switches to meet different charging requirements. In the case of multiple electric vehicles charging simultaneously, a system optimization control algorithm is adopted to minimize DC-bus current fluctuation by analyzing and reconstructing the DC-bus current in various charging modes. This algorithm uses the genetic algorithm (ga) as the core of computing and reduces the number of change parameter variables within a limited range. The DC-bus current fluctuation is still minimal. The charging station system structure and the proposed system-level optimization control algorithm can improve the DC-side current stability through model calculation and simulation verification.

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